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SolQuant WatermarkSOLQUANT WATERMARK
The SolQuant Watermark is a professional-grade utility script designed for traders, educators, and content creators who want to keep their charts organized and branded. By utilizing Pine Script’s table functions, this indicator ensures your custom text and symbol data stay pinned to the screen, regardless of where you scroll on the price action.
KEY FEATURES
Customizable Branding: Display your community name, website, or social handles anywhere on the chart.
Automated Symbol Data: Dynamic tracking of the current Asset, Timeframe, and Date—perfect for keeping screenshots contextually accurate.
Precision Placement: Choose from 9 different anchor points (Top-Left, Bottom-Right, etc.) to ensure the UI never interferes with your technical analysis.
Visual Scaling: 5 different size settings (Tiny to Huge) to accommodate high-resolution displays or mobile viewing.
Aesthetic Control: Fully adjustable color palettes, background transparency, and border toggles.
WHY USE A TABLE-BASED WATERMARK?
Unlike standard chart labels which are tied to specific price/time coordinates, this tool uses the Table API . This means:
The watermark stays in place while you scroll through history.
It doesn't disappear when you "hide" other drawing tools.
It scales consistently across different devices.
INSTRUCTIONS
1. Branding: Open settings and type your link or handle into the "Quote Text" area.
2. Symbol Info: Toggle the "Symbol Info" section to automatically display asset names and dates for your records.
3. Layout: Use the X and Y position dropdowns to move the modules if they overlap with your current price action or other indicators.
Note: This is a visual utility tool only. It does not provide trade signals or financial advice.
Iron Fly 0DTE StrategyOverview
This indicator identifies optimal entry and exit points for 0DTE (zero days to expiration) Iron Fly options strategies on SPX. It uses a combination of DMI (Directional Movement Index) regime classification and ATR (Average True Range) volatility measurement to determine when market conditions favor non-directional premium selling.
An Iron Fly is a neutral options strategy that profits when price stays near a central strike. This indicator automates the decision of WHEN to enter and at WHAT strikes, based on quantifiable market conditions rather than discretionary judgment.
How It Works
Market Regime Classification
The core logic uses DMI and ADX to classify market conditions into four regimes:
SAFE - ADX below 25 AND DI Spread below 20: Low directional momentum, ideal for Iron Flies
CAUTION - ADX below 35 AND DI Spread below 30: Moderate conditions, wider wings recommended
WARNING - ADX below 45 OR DI Spread below 45: Elevated risk, no new entries
NO ENTRY - ADX above 45 AND DI Spread above 45: Strong trend, avoid premium selling
The DI Spread is calculated as the absolute difference between DI+ and DI-. A low spread indicates balanced buying and selling pressure, which favors range-bound price action.
Dynamic Wing Width Calculation
Wing width (the distance between the short strikes and protective long strikes) is calculated dynamically using:
Wing Width = ATR(14) × Multiplier × Late Session Factor
The multiplier varies by Entry Aggressiveness setting (5x to 7x ATR). Wings are widened by 20% in CAUTION regime for additional protection. Late in the session (after 50% elapsed), wings narrow by up to 20% as less time remains for adverse moves.
Wing width is bounded between 15 and 50 points and rounded to the nearest 5-point strike.
Entry Logic
New positions open when:
Market regime is SAFE or CAUTION
Current open positions are below the maximum limit
Daily trade count is below the daily limit
Price has moved sufficiently from the last entry (trigger distance)
No existing position at the calculated strike
Exit Logic
Positions close when price exceeds a dynamic exit threshold:
Exit Threshold = Wing Width × (Base Exit Percent + Time Decay Bonus)
The Base Exit Percent varies by Exit Aggressiveness (50% to 80%). The Time Decay Bonus increases throughout the session (0% to 25%), allowing wider tolerance as theta decay works in your favor.
What Makes This Original
This indicator differs from simple moving average or RSI-based approaches by:
Using DMI spread (not just ADX) to measure directional balance, which better identifies consolidation
Dynamically sizing wings based on current ATR rather than fixed widths
Adjusting exit tolerance based on session progress to account for theta decay
Implementing regime-based position management that automatically steps aside during trending conditions
Providing complete strike calculations for the 4-leg Iron Fly structure
Settings Guide
Strategy Settings
Entry Aggressiveness - Controls how often new trades open. LOW: fewer trades, wider wings, more selective. MID: balanced. HIGH: more trades, tighter wings.
Exit Aggressiveness - Controls how long positions are held. LOW: exits early at 50% of wing. MID: exits at 65% plus time bonus. HIGH: holds longer, exits at 80%.
Max Concurrent Flies - Maximum simultaneous open positions (1-5). Start with 1-2.
Max Trades Per Day - Daily limit to prevent overtrading (3-30).
Session Settings
Session Start/End - Trading hours in Eastern Time. Default 10:00-16:00.
How to Use
Add indicator to SPX chart (1-5 minute timeframe recommended)
Create alert with condition "Any alert() function call"
When OPEN alert fires, execute the 4-leg Iron Fly in your broker at the specified strikes
When CLOSE alert fires, close the position
Always verify the premium collected justifies the risk before entering
Alert Messages
OPEN alerts provide: Strike price, wing width, and all four leg strikes (short call, short put, long call, long put).
CLOSE alerts provide: Strike price and exit reason (price exceeded threshold or session ended).
Status Panel
The on-chart panel displays:
Positions - Current open count vs maximum
Market - Current regime classification
Wings - Current calculated wing width
Exit @ - Current exit threshold distance
Trades - Daily trade count vs limit
Limitations
Designed specifically for SPX 0DTE options; may not suit other underlyings
Does not account for bid-ask spreads or execution slippage
Market regime classification may lag during rapid regime changes
Past performance of signals does not guarantee future results
Requires manual execution in your options broker
Best Conditions
This strategy performs best during:
Range-bound, choppy market conditions
Normal volatility days (avoid major news events)
Regular trading hours (10 AM - 4 PM ET)
Avoid using during:
Strong trending days
FOMC announcements, CPI releases, earnings
Pre-market or after-hours
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Options trading involves substantial risk of loss
Iron Flies can result in losses up to the wing width minus premium collected
Past indicator signals do not guarantee future performance
Always understand your maximum risk before entering any trade
Never risk more than you can afford to lose
Conduct your own research and consider consulting a financial advisor
IBPDA Time Markers Daily OnlyThis indicator plots IBPDA (Interbank Price Delivery Algorithm) time markers based on true bar counts, not calendar days.
Unlike many time-cycle tools that rely on calendar arithmetic, this script calculates 20 / 40 / 60 daily candles, ensuring accuracy across:
market holidays
shortened sessions
exchange-specific trading calendars
It is intentionally restricted to the Daily timeframe, where each bar represents one completed trading session.
🔍 What This Indicator Does
Draws vertical lines at:
−20 / −40 / −60 bars (exact historical daily candles)
+20 / +40 / +60 bars (future projections for planning)
Uses bar index–based logic, not calendar dates
Prevents misuse by enforcing Daily timeframe only
Draws lines once per chart load to avoid clutter and object limits
⚙️ Key Design Choices (Important)
Past markers are exact
Past levels use time , which means “n completed daily sessions ago” — no approximation.
Future markers are projected
Since future bars do not exist yet, forward levels are projected using a configurable day-step. These are meant for time-window awareness, not precision forecasting.
No repainting
All levels are fixed once drawn.
🧠 How to Use (Best Practice)
IBPDA time levels are time magnets, not trade signals.
They work best when combined with:
Higher-timeframe PD arrays (weekly/monthly highs & lows)
Fair Value Gaps (FVGs)
Liquidity pools
Market structure shifts
Watch for price expansion, liquidity events, or displacement occurring near these time markers.
🛑 Limitations (By Design)
Daily timeframe only
Future levels are projections (exchange calendars cannot be predicted perfectly)
This script does not generate buy/sell signals
🎯 Intended Audience
This indicator is designed for:
ICT / SMC traders
Index futures traders (NQ, ES, YM, etc.)
Swing traders and position traders
Traders who respect time as a variable, not just price
🧩 Notes
Best used as a contextual framework, not a standalone strategy
Clean, lightweight, and safe for long-term chart usage
Built with strict Pine Script v5 compatibility and publishing standards
NY 16:00 Close Overview
This indicator is designed for traders active in Pre-market, Post-market, and Blue Ocean (Overnight) sessions. It identifies the exact closing price of the financial instrument at 16:00 New York Time (the end of the Regular Trading Hours - RTH) and anchors a continuous horizontal line to this level.
The 16:00 Close is a critical psychological and institutional level. This script helps you visualize how the price deviates from the official daily close during extended hours and subsequent trading days.
Key Features
Smart NY Close Detection: Automatically identifies the 16:00 NY bar. For instruments with early closures (like certain Futures or Commodities ending at 13:45), the script automatically anchors the line to the final available closing price of the session.
Workday-Only Logic: The script respects the traditional trading week. For assets that trade 24/7 (like Crypto), the line remains fixed at Friday's 16:00 close throughout the weekend and only updates on Monday.
Real-Time Price Label: Displays the exact anchor price on the right axis for quick reference.
Dynamic Performance Tracker: A floating dashboard in the top-right corner shows the current percentage change relative to the 16:00 Close.
Green Background: Price is above the anchor.
Red Background: Price is below the anchor.
Formatted Accuracy: Displays with leading zeros (e.g., -0.60%) for professional-grade readability.
Infinite Extension: The anchor line extends indefinitely into the future, providing a clean "waterline" for your charts.
Built-in Alerts: Includes a "Cross" alert that triggers whenever the price touches or crosses the 16:00 Close level.
Settings
Line Color/Width: Customize the visual appearance of the anchor line.
Show Label: Toggle the price tag on the right side.
Label Offset: Adjust the distance of the label from the bars to prevent overlap.
How to Use
Gap Analysis: Use the percentage box to instantly see the "Overnight Gap" during Blue Ocean or Pre-market sessions.
Support/Resistance: Watch how price reacts to the previous 16:00 close; it often acts as a significant "magnet" or pivot point during low-liquidity hours.
Trend Confirmation: If the price stays consistently above the blue line during the pre-market, it may indicate bullish sentiment for the upcoming RTH open.
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
Power200EMA - MTF 200 EMA SuiteThe MTF 200 EMA Suite is a trend-confluence tool designed to reveal institutional support and resistance levels across multiple timeframes simultaneously. By plotting the 200-period Exponential Moving Average from six different time horizons onto a single chart, it allows you to identify "Power Zones" where various market cycles overlap.
Core Functionality
Multi-Timeframe Visibility: On a single lower-timeframe chart (like the 1m or 5m), you can see exactly where the 200 EMA sits on the 1m, 3m, 5m, 15m, 1h, and 4h horizons.
Institutional Benchmarking: The 200 EMA is the primary "line in the sand" used by institutional algorithms and bank traders to determine long-term trend bias.
Dynamic Clustering: When multiple EMA lines converge or "cluster" in one price area, it identifies a high-probability zone of institutional interest.
Floating Labels: Each line features an auto-updating label at the current price bar, allowing you to instantly identify which timeframe you are looking at without hovering over the plots.
Strategic Use
Trend Filter: Trade only in the direction where price is relative to the majority of the EMAs (e.g., only buy when price is above the 1h and 4h lines).
Mean Reversion: Use the higher-timeframe lines (1h/4h) as targets for price to return to during volatile over-extensions.
Support/Resistance: Use EMA clusters as "hard" barriers to place stops behind or to look for bounce-entry confluence.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
based on Seequant indicator
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
Moon Phases Final Moon Phases Visualizer DescriptionThis script is a comprehensive tool for traders who incorporate lunar cycles into their analysis. Unlike many basic indicators, this one is optimized for Pine Script v6 and utilizes a precise astronomical calculation based on the synodic month cycle ($29.53059$ days).The indicator helps identify potential "turn window" periods often associated with New Moons and Full Moons in financial astrology and cyclical analysis.Key FeaturesDual Visualization: Displays a smooth lunar cycle oscillator ($0-100\%$) in a separate pane while simultaneously plotting phase labels directly on the price chart.Smart Overlays: Using the latest force_overlay technology, the script keeps your price scale clean while showing Moon emojis (🌕/🌑) and an info table in the main area.Real-time Tracking: An elegant dashboard in the top-right corner shows the current phase percentage and status at a glance.Full Moon & New Moon Alerts: Visual signals are generated at the exact peak of the cycle, making it easy to spot historical correlations with price reversals or volatility spikes.How to read it:🌕 Full Moon (50%): Often associated with high volatility or local price extremes.🌑 New Moon (0%/100%): Often marks the beginning of a new cycle or a potential trend exhaustion.The Curve: Watch the oscillator to anticipate approaching lunar events before they happen.Technical DetailsThe calculation is anchored to a high-precision historical New Moon timestamp (January 6, 2000), ensuring the phase accuracy remains consistent even when scrolling back through years of historical data.
Disclaimer: This indicator is for educational and entertainment purposes only. Lunar cycles are a part of financial astrology and cyclical analysis, but they should not be used as a standalone signal for trading. Past performance does not guarantee future results. Always use proper risk management and combine this tool with other technical or fundamental analysis methods. Not financial advice.
A+ ORB VWAP EMA Alerts//@version=5
indicator("A+ ORB VWAP EMA Alerts", overlay = true)
// ORB levels (set these from LuxAlgo each morning)
orbHigh = input.float(0.0, "ORB High", step = 0.1)
orbLow = input.float(0.0, "ORB Low", step = 0.1)
// EMAs and VWAP
emaFast = ta.ema(close, 9)
emaSlow = ta.ema(close, 21)
vwapVal = ta.vwap(hlc3)
// Conditions
longCond = (close > orbHigh) and (close > vwapVal) and (emaFast > emaSlow)
shortCond = (close < orbLow) and (close < vwapVal) and (emaFast < emaSlow)
// Alerts (single-line, plain ASCII)
alertcondition(longCond, "A+ LONG SETUP ORB VWAP EMA", "A+ LONG: ORB High accepted, above VWAP, EMA9 > EMA21 (5m close).")
alertcondition(shortCond, "A+ SHORT SETUP ORB VWAP EMA", "A+ SHORT: ORB Low accepted, below VWAP, EMA9 < EMA21 (5m close).")
TSM PCR Auto AlertsPCR Auto Alerts (Bullish · Neutral · Bearish)
🎯 Objective of the Script
This script is designed to:
Calculate the Put–Call Ratio (PCR)
Interpret market sentiment using predefined PCR zones
Automatically generate Bullish, Neutral, and Bearish alerts
Visually display the PCR trend and current market view
📊 What is PCR (Put–Call Ratio)?
PCR = Put Open Interest ÷ Call Open Interest
It reflects market participants’ expectations:
Lower PCR → More calls → Bullish bias
Higher PCR → More puts → Bearish bias
🔧 Inputs Used in the Script
Put Open Interest (Put OI)
Manually entered value
Call Open Interest (Call OI)
Manually entered value
These inputs make the script ideal for:
Learning & teaching
Strategy explanation
Posters & educational content
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve.
Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles.
What goes into it (what it’s built from)
KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.”
It uses three core ideas:
Weighted Least Squares (WLS) regression
Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages.
Quality gating with R²
The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness.
Model-based uncertainty bands (SEE) with a volatility fallback
Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback.
What makes it different (why it stands out)
KRV stands out because it combines features that are usually not together in one tool:
Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes.
Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope).
A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold).
Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact).
Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward).
What you see on the chart
Vector Tunnel: the projected path and the expected noise range around it.
Color: bullish or bearish bias based on the current slope of the model.
Pinch: compression detected (band width unusually tight versus its baseline).
Bull/Bear Bullets: confirmed pinch signals aligned with directional bias.
Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level).
How to use it (simple, repeatable)
Use it as a three-step decision tool:
Gate (participate or stand down):
If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades.
Direction (bias):
When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way).
Pinch + confirmation (timing):
A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry.
Best features (why traders keep it)
Non-repainting signals locked to closed bars
Clear “stay out” logic during chop
Direction bias that responds faster than classic lagging tools
Compression detection designed to highlight expansion windows
Forward tunnel for planning risk, entries, and exits visually
Best markets and timeframes
KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter.
Recommended timeframes:
4H: best for timing entries and avoiding noise
Daily: best for swing direction and higher-quality setups
Weekly: best for big-picture regime filtering (stay out vs participate)
Monthly can be used for macro regime, but not for timing.
What to expect (honest expectations)
KRV is not a guaranteed predictor of exact prices. Its edge comes from:
filtering out weak/noisy regimes,
identifying compression that often precedes expansion,
and aligning that setup with a directional bias,
without repainting.
Weekend Highs & Lows (BTC)Weekend highs and lows are generally taken, this indicator will help get stats for that
Darvas 52 Weeks High-Low current priceThe script in an info box has the following values:
* the price of the absolute high within the last 52 weeks and its distance in days
* the price of the absolute low within the last 52 weeks and its increase in % to date
* the current course
Variable are:
- the number of weeks
- the location of the infobox
- the font size of the info box
- the display of the current course
This script is for illustrative purposes only and does not make any trading recommendations.
Custom Extreme Support & Resistance (ORB Framework)//@version=5
indicator("A+ ORB VWAP EMA Master Alerts", overlay=true)
// === USER INPUTS ===
orbHigh = input.float(na, "ORB High (from LuxAlgo)")
orbLow = input.float(na, "ORB Low (from LuxAlgo)")
emaFastLen = 9
emaSlowLen = 21
// === INDICATORS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
vwapVal = ta.vwap(hlc3)
// === CONDITIONS ===
// LONG
longCond =
close > orbHigh and
close > vwapVal and
emaFast > emaSlow
// SHORT
shortCond =
close < orbLow and
close < vwapVal and
emaFast < emaSlow
// === ALERTS ===
alertcondition(
longCond,
title="A+ LONG SETUP – ORB + VWAP + EMA",
message="A+ LONG SETUP CONFIRMED (5m close): ORB High accepted, price above VWAP, EMA 9 > EMA 21. Wait for pullback/continuation."
)
alertcondition(
shortCond,
title="A+ SHORT SETUP – ORB + VWAP + EMA",
message="A+ SHORT SETUP CONFIRMED (5m close): ORB Low accepted, price below VWAP, EMA 9 < EMA 21. Wait for rejection/continuation."
)
Volume Weighted Intra Bar LR KurtosisThis indicator analyzes market character by decomposing total
Excess Kurtosis ("Fat Tails") of a SINGLE BAR into four distinct,
interpretable components based on a Linear Regression model.
Key Features:
1. **Intra-Bar LR Kurtosis Decomposition:** For each bar on the chart,
the indicator analyzes the underlying price action on a smaller
timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression
line through the intra-bar data to decompose the 4th Moment:
- **Trend Kurtosis (Gold):** Peakedness of the regression line
itself. High values indicate the price path within the bar
moves in sudden jumps, steps, or gaps (discontinuous path).
- **Residual Kurtosis (Red):** Excess Kurtosis of the noise
around the regression line. Captures "Hidden Tail Risk" or
extreme outliers within the bar relative to the trend.
- **Within-Bar Kurtosis (Blue):** Fat tails derived from the
microstructure of individual intra-bar candles.
- **Interaction Variance (Dark Grey):** The comovement of variance
and mean deviations (volatility clustering relative to trend).
- **Interaction Skewness (Darker Grey):** The comovement of skewness
and mean deviations (asymmetry relative to trend).
2. **Visual Decomposition Logic:** Total Excess Kurtosis is the
primary metric displayed. Since statistical moments are additive,
this indicator calculates the *exact* Total Kurtosis and partitions
the columns based on the Law of Total Moments.
3. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Plots the *total* kurtosis as a
stacked column chart. Stacking logic groups components to
ensure visual clarity of the magnitude.
- **Relative Mode:** Plots the direct *contribution ratio*
(proportion) of each component relative to the total sum,
ideal for identifying the dominant driver (Trend vs. Noise).
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
transforms inputs into logarithmic space, analyzing the
kurtosis of *returns* rather than absolute prices.
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all regression and moment calculations,
emphasizing high-participation moves.
5. **Kurtosis Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *total* kurtosis line. (Note: This is only visible
in 'Absolute Mode').
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Analysis Lines:** The entire intra-bar analysis can be
run on a higher timeframe (using the `Timeframe` input),
with standard options to handle gaps (`Fill Gaps`) and
prevent repainting (`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes comprehensive alerts for:
- Kurtosis magnitude (High Positive / High Negative).
- Character changes (Trend Jumps vs. Noise Outliers).
- Total Kurtosis pivot (High/Low) detection.
**Caution: Real-Time Data Behavior (Intra-Bar Repainting)**
This indicator uses high-resolution intra-bar data. As a result, the
values on the **current, unclosed bar** (the real-time bar) will
update dynamically as new intra-bar data arrives. This behavior is
normal and necessary for this type of analysis. Signals should only
be considered final **after the main chart bar has closed.**
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
GridMap PRO by TradeAkademiGridMap PRO – Structural Price Mapping Framework
GridMap PRO is a price-mapping framework designed to visualize repeatable price reaction zones, based on the observation that price tends to evolve within specific percentage-based bands over time.
Despite its name, GridMap PRO is not a traditional grid trading indicator; it does not generate signals, predict direction, or provide automated trade execution. Its purpose is to segment price into logical and structurally consistent zones, offering a map that supports the decision-making process rather than replacing it.
This framework is not built on randomly drawn support and resistance levels, but on long-term observations, reverse-engineering studies, and the analysis of recurring price behavior across different market conditions.
Core Concept: Percentage-Based Scaling and Structural Bands
At the core of GridMap PRO lies a percentage-based scaling model centered around a 33% expansion ratio.
This ratio was not selected as a theoretical or mathematical constant. Instead, it emerged empirically through extensive analysis across multiple asset classes (including cryptocurrencies and traditional market instruments), by examining the percentage moves from significant price lows to areas where major price reactions frequently occurred.
Long-term observations have highlighted the following patterns:
In many upward price movements originating from a low, the first major price reaction often occurs within the 30–35% range
The midpoint of this range, 33%, has shown a recurring tendency to produce meaningful price reactions
Similar behavior can be observed not only when projecting from local lows, but also when applying the same ratio from the asset’s historical low
These findings suggest that the 33% ratio may reflect an aspect of price’s intrinsic scaling behavior, rather than representing a singular or “special” level.
Why the Historical Low (All-Time / Structural Low)?
GridMap PRO does not rely on dynamic or constantly shifting reference points when performing its calculations. Instead, it uses the historical lowest price as the most objective and indisputable anchor point available.
This design choice is intentional:
Dynamic lows:
introduce visual noise
require frequent redrawing of levels
reduce long-term structural consistency
The historical low:
is singular and fixed
does not repaint
preserves long-term perspective
By anchoring calculations to this structural low, GridMap PRO prioritizes stability and consistency over attempting to identify the “perfect” level at every moment. The goal is not precision through constant adjustment, but a coherent and durable price map.
Calculation Logic
The historical lowest price is used as the reference point
From this level, price levels are projected upward using a 33% multiplicative expansion
The resulting levels form long-term structural reference zones
Calculations are logarithmic, preserving the proportional nature of price scaling
Unlike traditional horizontal support and resistance tools, this approach allows price to expand while maintaining consistent relative distances as it grows.
Map Resolution: Long Term & Short Term
GridMap PRO offers two map resolution options, both derived from the same underlying structure and calculations.
Long Term
Displays only the primary 33% levels
Produces wider, more spaced structural bands
Suitable for macro structure analysis, swing trading, and position trading
Provides a clean and simplified view in high-volatility environments
Short Term
Retains the same primary levels
Adds logarithmic sub-levels between them
Produces denser and more precise reaction zones
Suitable for intraday analysis, short-term trade planning, and micro-structure evaluation
The underlying calculations remain unchanged; only the visual resolution and level density differ.
Visual Context & Supporting Tools
GridMap PRO also provides several optional visual tools that are not included in the core level calculations and are intended purely for visual support. These elements are designed to help interpret the price map more clearly and to provide additional contextual awareness.
The available visual components may include:
Moving Averages (EMA)
Used to provide contextual insight into the general price direction. They do not generate any entry or exit signals.
RSI Overbought / Oversold Zones
Displayed solely as background shading based on RSI values from the current timeframe and, optionally, from higher timeframes (e.g., 4H).
RSI Divergence Zones
Visual markers used to highlight potential momentum discrepancies, incorporating filters to limit repetitive signals.
None of these visual elements affect GridMap PRO’s level calculations, nor are they designed to serve as standalone trading signals. All visual settings are optional and can be enabled or disabled by the user.
What GridMap PRO Does – and Does Not Do
What It Does
Segments price into meaningful structural zones
Visualizes areas where price reactions are statistically more likely to occur
Provides reference regions for limit orders, grid-based approaches, or DCA planning
Helps identify whether price is trading within an active zone or moving through low-interaction space
What It Does Not Do
Generate long or short trade signals
Predict future price direction
Provide standalone buy or sell decisions
Offer any form of performance or outcome guarantee
GridMap PRO is not a signal generator, but a decision-support map.
Relationship to DCA and Grid Approaches
GridMap PRO is not a grid or DCA strategy by itself. However, when price fails to react at a given level, the next calculated percentage band naturally becomes a potential area of interest, offering a logical framework for DCA or layered position management.
In this context, GridMap PRO is particularly suitable for traders who favor process-driven and structured position management, rather than relying on single-point entries.
Final Note
Although the levels displayed by GridMap PRO have historically produced meaningful price reactions across many markets, no level can guarantee future price behavior. Market conditions, volatility, liquidity, and news flow should always be taken into account.
This tool is not designed to suggest that “price will definitely reverse here,” but rather that “price may pause, struggle, or change direction in this area.”
Because each market exhibits its own unique dynamics, the relevance of individual levels may vary by asset. Users are encouraged to validate all levels through their own historical observation and analysis.
Volume Weighted KurtosisThis indicator analyzes market sentiment by decomposing total
Excess Kurtosis ("Fat Tails") into distinct, interpretable components:
"Between-Bar" (Trend Path) and "Within-Bar" (Microstructure).
Key Features:
1. **Moment-Based Kurtosis Decomposition:** The indicator
separates kurtosis based on the 'Estimate Bar Statistics' option.
It leverages the additive property of the Fourth Central Moment
(Cumulants) to ensure mathematical rigor:
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
simple kurtosis of the selected `Source`.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):** The
indicator uses a statistical model ('Estimator') to
calculate *within-bar* kurtosis.
This separates the tail risk into:
- **Between-Bar Kurtosis (Gold):** Peakedness of the price
path itself. High values indicate the trend moves in jumps
or gaps rather than a smooth progression.
- **Within-Bar Kurtosis (Blue):** Fat tails within the
microstructure. High values imply significant outliers
inside the bars (e.g., extreme wicks).
- **Interaction Variance (Dark Grey):** The comovement of variance
and mean deviations (volatility clustering relative to trend).
- **Interaction Skewness (Darker Grey):** The comovement of skewness
and mean deviations (asymmetry relative to trend).
2. **Visual Decomposition Logic:** Total Excess Kurtosis is the
primary metric displayed. Since Kurtosis coefficients are not
linearly additive, this indicator calculates the *exact* Total
Kurtosis and partitions the area/ratios based on the additive
Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). This
ensures the displayed total kurtosis remains mathematically accurate.
3. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Displays the *Total Kurtosis* as the main
line, with the background filled by the stacked components.
Shows the *magnitude* of the tail risk.
- **Relative Mode:** Displays the **Contribution Ratios**
of each component (-1.0 to 1.0). This isolates the
*structure/quality* of the risk (e.g., "Is the risk
driven by the trend jumps or by the candle instability?").
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
transforms inputs into logarithmic space, analyzing the
kurtosis of *returns* rather than absolute prices.
(Essential for correct statistical properties).
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all moment calculations, emphasizing
high-participation moves.
5. **Kurtosis Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *Total Kurtosis* line. (Note: This is only visible
in 'Absolute Mode').
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Kurtosis Lines:** The kurtosis lines can be
calculated on a higher timeframe, with standard options
to handle gaps (`Fill Gaps`) and prevent repainting
(`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes comprehensive alerts for:
- Kurtosis magnitude (High Positive / High Negative).
- Character changes (Inter-Bar vs. Intra-Bar dominance).
- Total Kurtosis pivot (High/Low) detection.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Compression Dashboard & EMA Tracker by Herman Sangivera (Papua)Compression & EMA Probability Tracker By Herman Sangivera ( Papua )
Overview
The Compression & EMA Probability Tracker is a specialized price action tool designed to identify "Compression" (CP) zones—areas where price volatility narrows, and liquidity is systematically cleared. These zones often precede explosive breakouts or sharp reversals.
By integrating EMA 9 (Fast) and EMA 21 (Slow), this indicator analyzes the current trend momentum within the compression box and provides a real-time probability assessment of whether the market is likely to continue its trend or undergo a reversal.
How It Works
Compression Detection: Using a lookback period and an ATR-based threshold, the script automatically highlights periods of low volatility with a gray background box. This represents the "coiling" effect of the market.
Trend Alignment (EMA 9/21): * If EMA 9 > EMA 21 and price remains above them, the trend is considered bullish.
If EMA 9 < EMA 21 and price remains below them, the trend is considered bearish.
Real-Time Dashboard: A sleek on-chart panel displays:
Current Status: Identifies Rally, Drop, or Reversal warnings.
Continuation Probability (%): Likelihood of the current trend resuming after the breakout.
Reversal Probability (%): Likelihood of a trend change based on EMA crossovers inside the box.
Key Features
Automatic Box Plotting: Visually defines the range of the compression.
Dynamic Dashboard: High-visibility panel showing trend strength and probabilities.
Highly Customizable: Adjust EMA lengths, ATR sensitivity, and dashboard position to fit your trading style.
How to Trade with this Indicator
Trend Continuation: Look for a breakout in the direction of the EMA alignment (e.g., price breaks above the box while EMA 9 is above EMA 21). This is high-probability when the dashboard shows >70% Trend Probability.
Reversal: Watch for the price to cross back into the box and for the EMA 9 to cross the EMA 21. This shift in momentum often signals a trap or a trend exhaustion.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance (probabilities) does not guarantee future results. Always use proper stop-loss management.
Volume Weighted LR SkewnessThis indicator analyzes market character by decomposing total
skewness (asymmetry) into four distinct, interpretable components
based on a Linear Regression model.
Key Features:
1. **Four-Component Skewness Decomposition:** The indicator
separates market asymmetry based on the 'Estimate Bar Statistics' option.
It leverages the Law of Total Moments to provide an additive
breakdown of the 3rd Statistical Moment:
- **Trend Skewness (Green/Red):** Asymmetry originating from
the slope of the regression line itself. Indicates if the
trend path is geometrically skewed.
- **Residual Skewness (Yellow):** Asymmetry of the noise
around the regression line. Captures "Tail Risk" (e.g.,
sudden spikes against the trend).
- **Within-Bar Skewness (Blue):** Asymmetry derived from the
microstructure of individual bars (requires 'Estimate Bar Statistics').
- **Interaction Skewness (Dark Grey):** Asymmetry caused by the
correlation between price levels and volatility (e.g.,
volatility expanding as price moves in one direction).
*Dominance of this component indicates an unstable, emotional market.*
2. **Visual Decomposition Logic:** Total Skewness is the
primary metric displayed. Since statistical moments are additive,
this indicator calculates the *exact* Total Skewness and partitions
the area to visualize the contribution (weight) of each
structural source to the overall market bias.
3. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Displays the *total* skewness as a
stacked area chart, allowing to see the magnitude of tail risk.
Stacking logic groups components with the same sign to ensure
visual clarity.
- **Relative Mode:** Displays the direct *contribution ratio*
(proportion) of each component relative to the total sum,
ideal for identifying the dominant driver of asymmetry.
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
transforms inputs into logarithmic space, analyzing the
skewness of *returns* rather than absolute prices.
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all regression and moment calculations,
emphasizing high-participation moves.
5. **Skewness Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *total* skewness line. This helps identify extremes in
market sentiment or structural bias.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Skewness Lines:** The skewness lines can be
calculated on a higher timeframe, with standard options
to handle gaps (`Fill Gaps`) and prevent repainting
(`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes comprehensive alerts for:
- Skewness magnitude (High Positive / High Negative).
- Skewness character changes/emerging/fading.
- Total Skewness pivot (High/Low) detection.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Volume Weighted LR CorrelationThis indicator analyzes the structural relationship between two
assets by decomposing the Total Correlation into three distinct,
interpretable components using a Weighted Linear Regression model
and a Hybrid Copula Estimator.
Key Features:
1. **Hybrid Copula Estimator:** Unlike standard correlation, which
often fails on High/Low range data, this indicator fuses two
metrics to ensure mathematical rigor:
- **Magnitude:** Derived from Rogers-Satchell Volatility (robust to trend).
- **Direction:** Derived from Log-Returns.
This allows for precise correlation estimates even on intra-bar data.
2. **Three-Component Correlation Decomposition:** The indicator
separates correlation based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
correlation based on the selected `Source`.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):** The
indicator uses a statistical model ('Estimator') to
calculate *within-bar* correlation.
This separates the relationship into:
- **Trend Correlation (Green/Red):** Correlation of the regression
slopes. Indicates if assets are trending in the same direction.
- **Residual Correlation (Yellow):** Correlation of the noise
around the trend (Cointegration). Indicates if assets
mean-revert together, even if trends differ.
- **Within-Bar Correlation (Blue):** Correlation of the
microstructure (intra-bar volatility).
3. **Visual Decomposition Logic:** Total Correlation is the
primary metric displayed. Since Correlation Coefficients are not
linearly additive, this indicator calculates the *exact* Total
Correlation and partitions the area/ratios based on the additive
Covariance Decomposition. This ensures the displayed total
correlation remains mathematically accurate.
4. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Displays the *Total Correlation* as the main
line, with the background filled by the stacked components
(Trend, Residual, Within). Shows the *magnitude* of the relationship.
- **Relative Mode:** Displays the **Energy Ratios** (-1.0 to 1.0)
of each component using L1-Normalization. This isolates the
*structure/quality* of the relationship (e.g., "Is the
correlation driven by Trend or just by Noise?").
5. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
calculates an **Exponential Regression Curve** (log-space),
creating a constant percentage variance environment. Essential
for comparing assets with different scales (e.g., BTC vs EURUSD).
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all regression and covariance calculations.
6. **Correlation Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (highs and lows) in
the *Total Correlation* line.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
7. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
8. **Multi-Timeframe (MTF) Capability:**
- **MTF Correlation Lines:** The correlation lines can be
calculated on a higher timeframe, with standard options
to handle gaps (`Fill Gaps`) and prevent repainting
(`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
9. **Integrated Alerts:** Includes comprehensive alerts for:
- Correlation magnitude (High Positive / High Inverse).
- Correlation character changes/emerging/fading.
- Total Correlation pivot (High/Low) detection.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
