Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices.
The indicator works by calculating in the following steps:
Asset Selection
The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD").
Monthly Return Calculation
For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as:
Return = (Close - Open) / Open
This step provides a normalized measure of performance for each asset per month.
Data Aggregation
The script stores two key arrays for each asset and month combination:
sumReturns: The cumulative sum of monthly returns
countReturns: The number of months with valid data
This allows averaging returns later while handling months with missing data gracefully.
Table Construction
Rows representing months (January–December)
Columns representing each asset
An additional column showing the average return for all assets per month
A final row showing the yearly average return for each asset
Filling the Table
The table cells are filled as follows:
Monthly returns are averaged for each asset and displayed as a percentage.
Positive returns are colored green, negative returns red.
Missing data is displayed as a gray “—” placeholder.
Each row’s values are normalized for the color gradient to show relative performance.
Averages Computation
The script calculates two types of averages:
Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points.
Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data.
These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison.
Buy and Sell Conditions
This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to:
Identify months where an asset historically outperforms (bullish bias)
Identify months with weak historical performance (bearish caution)
Compare seasonal patterns across multiple assets for portfolio allocation
Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies.
Features and Parameters
Number of assets: Set how many assets are included in the table (1–32).
Assets: Input symbols for the assets you want to analyze.
Low % Color: Defines the color for the lowest monthly returns in the gradient.
High % Color: Defines the color for the highest monthly returns in the gradient.
Cleaned asset names for concise display.
Gradient-based visualization for easier pattern recognition.
Monthly and yearly averages for comparative analysis.
Specifications
Monthly Return Calculation
Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets.
Arrays for Storage
sumReturns: Float array storing cumulative monthly returns.
countReturns: Integer array storing the number of valid data points per month.
These arrays allow efficient aggregation and average calculations without overwriting previous values.
Data Retrieval via Security Calls
Requests monthly OHLC data for each asset using request.security.
Ensures calculations reflect the correct timeframe and allow for historical comparison.
Color and Text Assignment
Green text for positive returns, red for negative returns.
Gray cells indicate missing data.
Gradient background shows relative magnitude within the month.
Seasonality Analysis
The table visually encodes which months historically produce stronger returns.
Useful for portfolio rotation, risk management, and identifying cyclical trends.
Scalability
Supports up to 32 assets.
Dynamically adapts to the number of assets and data availability.
Gradient scales automatically per row for consistent comparison.
트렌드 어낼리시스
Order Flow: Structural Sniper [Profile + Signals]Overview
This script is a comprehensive tool designed to bridge the gap between Market Structure and Order Flow analysis. It aims to eliminate the subjectivity of static support and resistance lines by focusing on dynamic liquidity and the behavior of aggressive versus passive market participants.
Unlike traditional indicators that plot static data, the Structural Delta Map dynamically anchors its analysis to the start of the current trend (Pivots), providing a clear "X-Ray" view of how volume was distributed during the current price swing.
How it Works
The indicator combines three distinct technical concepts into a single system:
1. Market Structure (Pivots):
It uses a pivot detection algorithm to identify significant Swing Highs and Swing Lows. This determines the market bias and anchors the analysis to the origin of the movement.
2. Anchored VWAP (Fair Price):
It automatically calculates the Volume Weighted Average Price (VWAP) starting from the last confirmed pivot. This yellow line acts as the "spine" of the trend, serving as dynamic institutional support/resistance.
3. Delta Profile & Heatmap:
A Volume Profile is plotted on the left side, anchored to the pivot.
Split Delta: Instead of a single color, bars are split into Green (Buying Volume) and Red (Selling Volume) based on price action estimation.
Heatmap Logic: The opacity of the bars adjusts automatically. Bright/Solid bars represent High Volume Nodes (HVN), while transparent bars represent Low Volume Nodes (LVN) or liquidity voids.
How to Use (Strategy)
The indicator provides both visual context and specific entry signals:
1. Visual Context:
Profile: Look for reactions at bright, wide bars (High Volume Nodes). These act as magnets or barriers.
Yellow Line (VWAP): In an uptrend, look for buy opportunities when price retraces to this line. In a downtrend, look for shorts on the retest.
2. Aggression Signals (Triangle "AGR"):
Type: Trend Continuation / Pullback.
Logic: Triggers when price retraces to the structural value zone (near VWAP), rejects it with higher-than-average volume, and closes in the direction of the trend.
3. Absorption Signals (Cross "ABS"):
Type: Reversal / Trap.
Logic:
Bullish Absorption: Price makes a new local low with high volume (selling pressure), but the candle closes bullish (leaving a long bottom wick). Passive buyers absorbed the aggression.
Bearish Absorption: Price makes a new local high with high volume, but closes bearish. Passive sellers absorbed the buying pressure.
Settings
Pivot Sensitivity: Adjusts how the script detects trend changes.
Profile Resolution: Controls the number of rows in the histogram.
Signal Filters: Enable/Disable signals and adjust the Volume Multiplier threshold.
Technical Disclaimer
This indicator estimates "Delta" (Buy vs. Sell volume) based on OHLC price action and bar volume, as Pine Script does not grant access to historical tick-by-tick data. While this approximation is highly effective for identifying aggression and absorption, it differs slightly from Level 2 footprint data found on platforms like Sierra Chart. Accuracy depends on the volume data provided by your exchange.
CAHOLD / CBLOHDCAHOLD (Close Above Highest Low Day) and CBLOHD (Close Below Lowest High Day)
The logic is based on identifying pullbacks followed by strength in the direction of the trend, making it useful as a trend-continuation entry signal rather than a reversal tool.
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How CAHOLD Works (Bullish)
1. A sequence of red candles forms (a pullback).
2. The first green candle appears.
3. The script identifies the highest high of the prior red-candle sequence (HOLD).
4. A CAHOLD signal triggers when a green candle closes above that HOLD level.
5. A small green arrow is plotted below the candle.
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How CBLOHD Works (Bearish)
1. A sequence of green candles forms (a bounce).
2. The first red candle appears.
3. The script identifies the lowest low of the prior green-candle sequence (LOHD).
4. A CBLOHD signal triggers when a red candle closes below that LOHD level.
5. A small red arrow is plotted above the candle.
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Optional Filters
• EMA / SMA Trend Filter
Only shows CAHOLDs in uptrends and CBLOHDs in downtrends.
• Minimum Pullback Depth
Requires a minimum number of red/green candles before a signal can trigger.
• ATR Breakout Filter
Requires price to break the level by a volatility-adjusted amount.
RSI Divergences KittenRSI Divergences + Adjustable RSI σ-Bands + Band Pierce Signals (with optional US weekend filter)
Description:
This indicator combines three RSI tools into one clean workflow:
1. RSI σ-Bands (mean ± k·σ)
It builds dynamic upper/lower bands around RSI using a moving mean and standard deviation. These bands adapt to regime changes (expanding in volatile periods, contracting in quiet periods). Bands can be clipped to RSI’s natural 0–100 range and optionally filled for readability.
2. Band “Pierce” Signals
It prints a marker when RSI crosses outside the upper band (overextension) or outside the lower band (underextension). These pierces are useful as timing signals for mean-reversion setups, especially when you expect price to revert back toward a reference mean (e.g., VWAP). Optional “re-entry” markers show when RSI crosses back inside the bands.
3. Proper RSI Divergences (Regular + Hidden)
Divergences are detected using RSI pivots (not price pivots). At each RSI pivot, the script samples the corresponding price high/low on that pivot bar and compares it to the previous pivot within a configurable bar-distance window.
• Bullish divergence: price lower low + RSI higher low
• Hidden bullish: price higher low + RSI lower low
• Bearish divergence: price higher high + RSI lower high
• Hidden bearish: price lower high + RSI higher high
Line width is configurable for visibility.
Manual Band Adjustment (Near-Miss Control):
If your best reversals “nearly” tag the band, you can manually tune sensitivity without rewriting the math:
• Band offset (RSI points): nudges trigger levels
• Band width scale: tightens/widens the σ-band envelope
US Weekend Filter (Optional):
You can optionally suppress pierce/divergence signals during US weekend hours (Fri 17:00 ET → Sun 17:00 ET) and optionally shade those periods to help isolate low-liquidity behavior.
Notes / Intended Use:
This is designed as a mean-reversion timing tool, not a standalone trading system. For best results, combine signals with a market “mean” (e.g., rolling VWAP) and basic risk controls.
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
TRS (Trend Readiness System)TRS – Trend Readiness System
TRS (Trend Readiness System) is a trend-aligned trading framework designed to help you identify stocks that are becoming ready for entry , not just those already breaking out.
Instead of producing noisy buy/sell signals, TRS evaluates trend quality, pullback structure, momentum rebuilding, and market context , and converts them into clear scores, states, and timing awareness — both on the chart and inside the TradingView Screener.
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Core Philosophy
Strong trends don’t start at the breakout — they start when conditions quietly align.
TRS focuses on:
• Primary trend alignment
• Healthy pullbacks above long-term support
• Early momentum recovery
• Market regime confirmation
• Entry timing (fresh vs late)
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What TRS Measures
1. Setup Score (Trend Quality)
Answers the question: “Is this stock structurally worth watching?”
Based on:
• Price position relative to MA150
• Long-term trend direction
• Higher-low structure
• Distance from MA150 (overextension control)
• Market regime (bullish / bearish)
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2. Entry Score (Timing Quality)
Answers the question: “Is the timing right — or still early?”
Based on:
• Short and mid-term moving averages
• Pullback behavior
• Momentum stabilization
• Volume confirmation
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3. General Score
A combined readiness score used for ranking in the TradingView Screener:
General Score = Setup Score + Entry Score
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Entry State Tracking (Key Feature)
TRS tracks the full entry lifecycle , not just signals:
• Valid Entry
• Pending Entry (almost ready)
• Bars Since Valid Entry
• Entry Window (Fresh / Expired)
• Entry Still Valid (Yes / No)
This helps avoid chasing late or already-played setups.
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Market Regime Filter
Signals automatically adapt to overall market conditions:
• Market trend confirmation (e.g. SPY / QQQ)
• Reduced false signals during weak markets
• Clear explanation when setups are blocked
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Visual Dashboard (Optional)
The on-chart dashboard can display:
• General Score
• Market state
• Setup quality
• Entry status
• Entry window
• Bars since entry
• Blocking reason (if any)
You can switch between:
• Minimal mode – essential info only
• Full table mode – detailed diagnostics
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Screener Integration
TRS exposes clean numeric outputs for the TradingView Pine Screener:
• Setup Score
• Entry Score
• General Score
• Pending Entry (1 / 0)
• Valid Entry (1 / 0)
• Bars Since Valid Entry
• Market Bullish (1 / 0)
Example Screener Filters:
• Setup Score ≥ 50
• Pending Entry = 1
• Bars Since Valid Entry ≤ 3
• Market Bullish = 1
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How to Use TRS (Daily Routine)
Step 1 – Scan
• Look for high Setup Score
• Prefer Pending Entry = 1
Step 2 – Review
• Confirm pullback quality
• Check MA150 support
• Observe momentum rebuilding
Step 3 – Act
• Enter only on Valid Entry
• Avoid expired entry windows
• Skip setups blocked by market regime
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What TRS Is NOT
• Not a breakout chaser
• Not a day-trading system
• Not signal spam
TRS is a decision-support system for swing and position traders who value structure, context, and timing.
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Best Used On
• Daily timeframe (1D)
• Liquid stocks & ETFs
• Trend-following strategies
• Portfolio-level screening
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NeuroPolynomial ChannelNeuroPolynomial Channel is a structure-oriented price channel designed to model price curvature, balance, and realized deviation using recursive non-linear smoothing.
Rather than relying on standard moving averages or statistical volatility assumptions, the indicator separates structure estimation from deviation measurement, allowing each to adapt independently.
Structural Core (Recursive Curvature Line)
The centerline is generated using a recursive smoothing process with controlled curvature.
By blending current price with historical estimates and introducing a curvature term, the line forms a non-linear structural path that adapts gradually to changing market conditions.
This approach emphasizes:
Structural continuity over short-term noise
Gradual regime transitions instead of abrupt shifts
User-controlled responsiveness via curvature and blending parameters
The result is a centerline that reflects price structure, not just short-term averages.
Deviation Field (Adaptive Bands)
Channel width is derived from the observed absolute deviation between price and the structural core.
Instead of assuming a normal distribution, deviation is measured directly from realized price behavior and expressed through multiple band layers:
Inner structure boundary
Intermediate deviation zone (optional)
Outer deviation boundary (optional)
As price behavior changes, the deviation field expands or contracts organically, providing a contextual view of compression, balance, and expansion.
Interpretation Framework
Balance & Control
Persistent acceptance on one side of the structural core reflects directional control.
Compression
Narrow deviation bands signal reduced realized movement and potential energy buildup.
Expansion
Widening bands indicate increasing deviation and active range development.
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The indicator is intended for contextual interpretation, not mechanical signal generation.
Configuration
Length – Structural memory depth
Morph Factor – Degree of historical blending
Flatten Factor – Curvature sensitivity control
Deviation Multipliers – Band spacing
Visual Controls – Theme and candle tinting
Notes:
Deviation is derived from realized price movement and adapts gradually.
Recursive calculations initialize from available chart history.
This tool does not forecast future prices.
Disclaimer:
This indicator is provided for analytical and educational purposes only.
It does not constitute financial advice or a trading recommendation.
Investment Analysis Bar v2What It Does
A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum.
Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings.
Tier 1 Bar Metrics
Margins: GM, OM, NIM, FCF Margin
Returns: ROCE, ROE
Growth: Revenue YoY, EPS YoY
Valuation: PE TTM, Forward PE, PEG
Zone: Accumulate / Hold / Trim / Exit
Signal: PRIME / BUY / TRIM / SELL / NEUTRAL
Performance: 1W to 1Y returns
Two Strategy Modes
Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA.
Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA.
Quality Gates System
Four fundamental checkpoints:
Gross Margin ≥ 40%
ROCE ≥ 15%
Debt/Equity ≤ 50%
SBC/Revenue ≤ 15%
Strong signals require quality confirmation. PRIME signals require ALL gates to pass.
Zone System
Three calculation methods:
52W Range: Accumulate in bottom 25%, Trim in top 25%
Manual Levels: Set your own price targets
ATR-Based: Dynamic zones from EMA ± ATR
Signal Hierarchy (Value Mode)
SignalMeaning
PRIME 💎Optimal entry - all conditions aligned
BUY 🔼Strong accumulation signal
BUY? ↗Decent entry, not ideal zone
ACCUM 🎯In accumulation zone, quality OK
WAIT ⏳Setup forming, no bounce yet
TRIM 📤Consider taking profits
Alerts Included
Zone transitions (Accumulate, Trim, Exit)
PRIME Entry Signal
Strong Buy / Sell signals
Quality Gate failures
Quality Accumulation Setup
Best Used On
US stocks with fundamental data available. Technical features work on all symbols.
Settings
Fully customizable:
Toggle each metric category
Adjust quality gate thresholds
Choose zone calculation method
Configure RSI/volume parameters
Position bar and panel anywhere
Elite Monday Range V3- ProfessionalElite Monday Range V3 - Advanced Institutional Bias & Analysis
Overview
The Elite Monday Range V3 is a high-performance decision-support tool designed for traders who utilize the "Weekly Open" and "Monday's Range" as their primary benchmark for the trading week. Unlike standard range indicators, this script employs an advanced Multi-Asset Analysis Engine to determine the weekly bias with institutional-grade precision.
It doesn't just draw lines; it analyzes Previous Week's Close (PWC), Monday's Candle Structures (Price Action), and Internal Liquidity to provide a definitive "Directional Bias" and "Confidence Score."
Key Features
Smart Multi-Asset Detection: Automatically detects if you are trading Forex, Crypto, or Indices and adjusts its internal logic and strategy suggestions accordingly.
Institutional Bias Engine: Calculates a Confidence Score (from -4 to +4) based on 4 critical criteria:
Price vs. Previous Week Close: Checks if the bulls or bears are maintaining momentum from the prior week.
Monday Candle Analysis: Automatically identifies Pin Bars (Liquidity Grabs) or Strong Engulfing movements.
Price vs. Monday Midpoint (Equilibrium): The ultimate pivot point for weekly trend direction.
Price vs. Weekly Open: Tracks the "true" opening sentiment.
Liquidity Hunt Signals (Judas Swing): Visual alerts for LIQ BUY and LIQ SELL when price sweeps Monday's extremes and returns inside the range—a classic sign of institutional manipulation before a trend.
Symmetric Expansion Levels: Projects +50%, +100%, -50%, and -100% extensions of the Monday range to identify high-probability Take Profit (TP) and reversal zones.
Dynamic Professional Dashboard: A sleek, real-time table on your chart that summarizes Asset Type, Weekly Bias, Candle Info, and the Confidence Score.
Force Overlay Technology: Ensures all lines and labels remain visible and crisp on the top layer, above candles and other indicators.
How to Trade with the Elite Dashboard
Check the "Net Weekly Bias": Look for STRONG BULL or STRONG BEAR.
Verify Confidence Score: A score of 3 or 4 (or -3/-4 for shorts) indicates high-probability conditions.
Identify Entry: If the Bias is "STRONG BULL," wait for a retest of the Monday Mid (MID) or Monday High (MON H).
Confirm with Liquidity: Look for a LIQ BUY signal near the Monday Low for the highest-quality "A+ Setup."
Target: Use the Expansion Levels (+50% / +100%) as your primary targets for the week.
Technical Settings
Lookback Weeks: Choose exactly how many historical weeks to display to keep your chart clean.
Customizable Colors: Fully adjustable colors for Monday ranges and expansion projections.
Line Width: User-defined thickness for professional visual clarity.
Monday Range - User Defined LookbackEnglish Description
Monday Range Expansion & Multi-Week Projections
This indicator identifies the Monday Range (the price action from Monday's open at 00:00) and projects symmetric expansion levels across the entire trading week. It is designed for traders who use the weekly open and Monday's volatility as a benchmark for the week's price action.
Key Features:
Exact Monday 00:00 Start: Using advanced logic, the indicator pins the starting point precisely to the weekly open (Monday 00:00), ensuring no lag or offset regardless of your timeframe.
Symmetric Expansion Levels: It calculates the Monday High-Low range and projects a +100%, +50%, -50%, and -100% expansion, providing clear support and resistance targets.
User-Defined Lookback: You can choose exactly how many past weeks to display on your chart, keeping your workspace clean and focused.
Force Overlay Technology: All lines and labels use force_overlay, ensuring they always stay on the top layer, above candles and other indicators.
Weekly Freeze: Historical weeks stay "frozen" at their Friday closing points, allowing for clear backtesting of previous weekly levels.
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic.
This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard.
How It Works
The engine calculates a composite "Total Score" (0-100) derived from four weighted components:
Trend Structure (AlphaTrend & Guppy):
Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA).
Positive slopes and price action above key levels add points to the score.
Volatility & Momentum (Squeeze & ADX):
Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves.
ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked.
Dynamic Resistance (MA Channels):
Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance.
Price Action Filters (Pinbar Veto):
Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score.
Features & Settings
Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart.
Market Profiles:
Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours.
BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks).
Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal.
Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus.
How to Use
Check the Dashboard: Look at the "SONUÇ" (Result) row.
GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present.
BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade.
Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels.
Credits:
AlphaTrend by KivancOzbilgic
Squeeze Momentum Indicator by LazyBear
VuManChu Cipher concepts for inspiration.
Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments.
Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Liquidity Void and Repair EngineLiquidity Void & Repair Engine
OVERVIEW
The Liquidity Void & Repair Engine is a high-fidelity institutional order flow tool designed to identify and track "Market Imbalances" or "Fair Value Gaps" (FVG). Unlike standard gap indicators that clutter the chart with every minor price jump, this engine uses Volatility-Adjusted Range Mapping to isolate high-conviction voids where price moved so rapidly that liquidity was left "unfilled."
The standout feature of this tool is its Active Repair Logic. The engine doesn't just draw static boxes; it monitors price action in real-time to determine when an imbalance has been "healed" by subsequent trading volume, providing a dynamic look at where the market has "unfinished business."
TECHNICAL LOGIC & ORIGINALITY
This script is published Open Source to contribute to the Pine Script community’s understanding of dynamic object management and order flow visualization.
ATR-Relative Filtering: To ensure only significant voids are plotted, the script uses a user-defined ATR (Average True Range) multiplier. This filters out market noise and focuses on institutional "impulse" moves.
Dynamic Box Management: Utilizing the Pine Script box array system, the script manages memory efficiently by updating existing objects rather than creating redundant ones.
The "Repair" Algorithm: The script tracks the high and low of every active void. When price action fully traverses the coordinates of a void, the script "seals" the box, visually marking the moment of liquidity equilibrium.
HOW TO USE
1. Identifying the "Magnet" (The Void)
When price moves aggressively, it leaves a "hole" in the auction.
Bullish Voids (Green): These represent areas where price surged so fast that buyers may still have unfilled orders sitting below. These act as Magnets for pullbacks.
Bearish Voids (Red): These represent areas where price plummeted, leaving a vacuum of selling pressure. These act as Magnets for relief rallies.
2. Trading the "Repair" Process
The Engine tracks how the market "repairs" these holes:
Partial Fill: If price enters a box but doesn't cross it, the "Magnet" is still active.
Full Repair: When a box is "sealed" (stops extending right), it indicates the imbalance is gone. If price "Seals" a green box and then bounces, it confirms the zone as Valid Institutional Support.
3. Confluence with the Trend
Continuation: In a strong uptrend, look for price to drop into a Green Bullish Void and find support. This is often the "Golden Entry" for trend followers.
Reversal Confirmation: If price ignores a Red Bearish Void and blasts right through it (sealing it instantly), it signals a massive shift in market regime and extreme bullish conviction.
USER SETTINGS
Lookback Period: How far back the engine searches for un-repaired gaps.
Min Gap Size (ATR %): Increase this to see only the "Major" institutional gaps; decrease it for a more granular intraday look.
Visual Styles: Fully customizable colors and transparency to match any chart theme (Dark/Light).
NOTES & DISCLAIMER
This script is a visualization of historical price imbalances and is intended for educational purposes only. It does not provide trade signals, entry/exit points, or financial advice. All trading involves risk.
Precision Trendlines - Relevant Current TFPrecision Structural Trendlines (Current TF)
Overview
The Precision Structural Trendlines indicator is a high-performance price action tool designed for traders who rely on market structure and trend convergence. Unlike standard trendline scripts that clutter the chart with every possible connection, this indicator strictly follows professional structural rules—connecting Lower Highs for resistance and Higher Lows for support.
Key Features
Structural Integrity: The engine ensures that resistance lines are only drawn during bearish sequences (Lower Highs) and support lines during bullish sequences (Higher Lows), aligning with core Price Action principles.
Dynamic Relevance Filter: Solve the "web of lines" problem. By default, the script only shows trendlines that are currently relevant to price. As price moves away from old trends, they fade out, keeping your workspace clean.
Zero Drift Synchronization: Built using absolute time-anchoring (xloc.bar_time), ensuring that trendlines stay perfectly "glued" to the candle wicks regardless of how much you scroll or zoom.
Customizable Aesthetics: Choose between Random Dark Colors to easily distinguish overlapping trends or a Static Color for a unified look. Global width controls allow for instant visibility adjustments.
How to Use
Trend Confirmation: Use the Minimum Points setting. Set it to 2 for aggressive, early trend detection, or 3 to only see lines that have been validated by multiple touches.
Major vs. Minor Swings: Adjust the Pivot Strength. A value of 30 (default) captures significant intraday turns, while 20+ is ideal for identifying major swing structure.
Relevance Buffer: Tune the Price Buffer % to determine how close price must be to a historical trendline before it reappears on your chart.
Settings Breakdown
Minimum Points: Number of pivot points required to anchor a line.
Pivot Strength: The "look-left/look-right" requirement to confirm a peak or valley.
Validation Tolerance: The vertical buffer allowed for a 3rd point to "hit" the trendline.
Show Relevant Only: Toggles the visibility filter (highly recommended for high-volume traders).
Low-High Waves for NeowaveOpen your chart at daily and hide the symbol graphic. Now you can see the waves. It’s including limited data sorry for this but I’m not a programmer and TradingView have limitations.
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Bullish/Bearish Movement SumThis indicator calculates and displays the cumulative sum of bullish and bearish price movements over a specified period.
Features:
- Green line: Cumulative sum of all bullish movements
- Red line: Cumulative sum of all bearish movements (absolute value)
- Blue area: Net difference (bullish - bearish)
- Information table showing current values and bull/bear ratio
Settings:
- Calculation Period: Choose rolling window size (default: 100 bars) or 0 for cumulative from start
- Calculation Mode: Choose between "Points" (absolute price changes) or "Percentage" (% changes)
Use Cases:
- Identify market directional strength
- Compare bullish vs bearish pressure
- Spot divergences between price and directional momentum
- Ratio > 1 indicates more bullish than bearish movement
Developed with assistance from Claude (Anthropic)
