JAM ALGO Signals
"Remove the filters to view signals, then customize the parameters to your preference and enjoy using the indicator!" ✅
JAM ALGO Signals
Description:
🚀 Advanced Trading Signals with Risk Management & Alerts
This indicator is a complete all-in-one tool for traders seeking precise entries and exits with built-in risk management and real-time statistics. It combines RSI and EMA-based analysis, projected Take Profit (TP) and Stop Loss (SL) levels, customizable filters, and premium alerts directly on your TradingView chart.
✨ Key Features:
Entry Signals 🔹
Buy & Sell signals based on price action and RSI conditions.
Trend confirmation via EMA (200 and optional 50-period filters).
Visual signals: Labels, Arrows, Triangles, or Text.
Risk Management (RR) ⚖️
Define Stop Loss (SL) and multiple Take Profit levels (TP1, TP2, TP3) based on risk ratio (R).
Configurable projection bars to visualize target levels.
Colored zones for TP & SL, with optional borders for clarity.
Premium Alerts 🔔
Alerts for BUY / SELL signals, TP1 / TP2 / TP3, and SL hits.
Instant notifications when levels are reached.
Advanced Filters 🛡️
EMA50 Trend Filter: confirms short-term trend.
RSI Direction Filter: ensures momentum alignment.
Volatility Filter (ATR14 > Range): ensures enough market movement.
Candle Size Filter: avoids entries on too small candles.
SL Overlap Filter: prevents trades overlapping existing SL levels.
Real-Time Statistics 📊
Total trades, wins (TP1), and losses (SL).
Winrate (%), cumulative profit, and average RR ratio.
Optimizes strategy tracking directly on the chart.
Customizable Visuals 🎨
TP & SL line colors and styles (solid, dashed, dotted).
Fully adjustable signal labels (color, size, type).
Configurable stats table with background & text colors.
🔥 Advantages:
Complete tool for day trading and swing trading.
Clear visualization of critical risk/reward levels.
Automatic alerts for fast reaction without constant monitoring.
Integrated statistics for performance evaluation and strategy improvement.
Recommended for:
Traders using price action, intraday strategies, scalping, or swing trading, who want advanced risk management with visual signals and performance analytics on TradingView.
Fundamental Analyse
Warpath Structure + Liquidity Tool (Updated - V3)Warpath visually organizes the key elements required to trade Gold professionally:
1. Market Structure Clarity
Automatically labels HH / HL / LH / LL on major pivot points (current chart timeframe). Makes directional bias immediately obvious. Helps prevent counter-trend trading in strong expansions.
2. Liquidity Sweep Detection (Wick-Only)
Highlights true liquidity sweeps using wick behavior (no breakout guessing). Marks the sweep wick with user-defined colors. Draws a swept-zone box that extends forward to show where liquidity was taken. Designed to identify fuel vs reversal behavior in trends.
3. Key Session Levels
Automatically plots:
Asian High / Low
Previous Day High / Low
Equal Highs / Equal Lows from current timeframe and higher timeframes (1H / 4H / Daily)
These levels represent where price is likely to react, not where trades should be forced.
4. Multi-Confluence HTF Bias Dashboard
Small dashboard showing bias for 15M, 1H, 4H, and Daily timeframes. Each timeframe bias is calculated using four confluence factors:
EMA Stack: 8/21/50 alignment and price position relative to EMAs
Structure: Recent HH/HL vs LH/LL pivot behavior
Price Patterns: Engulfing candles, hammers, double bottoms/tops, break of structure
Momentum: Recent candle direction and close trend
Displays a confluence score (e.g., "BULLS (4)") so you can see signal strength, not just direction. Overall bias weights higher timeframes more heavily for smarter alignment.
5. Trade Positioning Dashboard
Replaces basic overbought/oversold readings with actionable positioning context:
Range Position: Shows exactly where price sits within the selected range (Previous Session, Previous Day, or Weekly) as a percentage. Zones include Deep Discount (0-25%), Discount (25-40%), Equilibrium (40-60%), Premium (60-75%), and Deep Premium (75-100%).
VWAP Deviation: Displays distance from VWAP in standard deviations (σ). Readings beyond ±1.5σ indicate meaningful extension. Readings beyond ±2σ suggest caution on continuation and potential mean reversion.
Trade Favor: Combines HTF bias alignment, range position, and VWAP deviation into a single directional score. Displays as "LONGS ●●●○" or "SHORTS ●●○○" so you know at a glance whether conditions favor continuation or reversal.
6. Continuation Reload Awareness (Strong Trend Environments)
Built to handle markets that:
Remain overbought
Stay in premium
Sweep buy-side liquidity repeatedly
The multi-confluence scoring system catches trend continuation setups (like higher lows forming with bullish momentum) even before swing structure fully confirms. Supports compression → expansion continuation behavior. Prevents missed participation during multi-day trends without abandoning discipline.
Seasonality Scanner by thedatalayers.comThe Seasonality Scanner automatically detects seasonal patterns by scanning a user-defined number of past years (e.g., the last 10 years).
Based on this historical window, the indicator identifies the strongest seasonal tendency for the currently selected date range.
The scanner evaluates all valid seasonal windows using two filters:
• Hit Rate - the percentage of profitable years
• Average Return - the highest mean performance across the analyzed period
The best-scoring seasonal setup is displayed directly on the chart, including the exact start and end dates of the identified pattern for the chosen time range.
Users can define the period they want to analyze, and the indicator will automatically determine which seasonal window performed best over the selected history.
Recommended Settings (Standard Use)
For optimal and consistent results, the following settings are recommended:
• Search Window: 20-30
• Minimum Length: 5
• Time Period: from 2015 onward
• US Election Cycle: All Years
These settings provide a balanced and reliable baseline to detect meaningful seasonal tendencies across markets.
This indicator helps traders understand when recurring seasonal patterns typically occur and how they may align with ongoing market conditions.
This indicator is intended to be used exclusively on the daily timeframe, as all calculations are based on daily candles.
Using it on lower timeframes may result in inaccurate or misleading seasonal readings.
Seasonality by thedatalayers.comThe Seasonality Indicator calculates the average historical performance of the currently selected asset by analyzing a user-defined number of past years (e.g., the last 10 years).
The number of years included in the calculation can be adjusted directly in the settings panel.
Based on this historical window, the indicator creates an average seasonal curve, which represents how the market typically behaved during each part of the year.
This averaged curve acts as a forecast for the upcoming months, highlighting periods where the market has shown a consistent tendency in the past.
Traders can use this seasonal projection to identify times of higher statistical likelihood for upward or downward movement.
The indicator works especially well when combined with the Seasonality Analysis Tool, which helps identify specific historical windows and strengthens overall seasonal decision-making.
This indicator must be used exclusively on the daily timeframe, as all calculations are based on daily candle data.
Other timeframes will not display accurate seasonal structures.
The Seasonality Indicator provides a clear, data-driven view of recurring annual patterns and allows traders to better understand when historical tendencies may influence future price action.
Trading Asset Comparison Oscillator by thedatalayers.comThe Trading Asset Comparison Oscillator compares the currently opened asset with a user-selected reference symbol to identify periods of relative overvaluation and undervaluation.
The concept is based on the idea that markets constantly seek fair value. When an asset becomes mispriced relative to a meaningful benchmark, it often moves back toward equilibrium.
This indicator measures that relationship and transforms it into an easy-to-read oscillator:
• Green Zone (Undervalued) - The selected asset is undervalued compared to the reference symbol.
This reflects potential upward pressure as markets tend to correct undervaluation over time.
• Red Zone (Overvalued) - The asset is overvalued relative to the reference symbol.
This may indicate a higher likelihood of downward movement as price seeks rebalancing.
Users can set any reference instrument they consider relevant-commodities, indices, currency pairs, or other assets. The oscillator quantifies the valuation difference based on a configurable cycle length.
The recommended setting is Cycle = 10, which provides a balanced and responsive signal
structure.
Since this indicator relies on broader valuation dynamics, it is designed to be used exclusively on the daily timeframe. Lower timeframes may not reflect true fundamental value relationships.
The Asset Comparison Oscillator helps traders identify when an asset appears cheap or expensive relative to another, offering an additional layer of fundamental context to support directional trading decisions.
COT Index by thedatalayers.comThe COT Index transforms the weekly COT net positions of Commercial traders into a normalized mathematical model.
Instead of displaying raw net positioning, the COT Index processes the data through a cyclical normalization algorithm (commonly using a 26-week or alternatively a 52-week cycle).
This makes it easier to identify bullish or bearish extremes in Commercial activity.
The index is plotted as a color-coded line:
• Green Zone - Commercials are mathematically classified as bullish.
Historically, bullish Commercial positioning often aligns with upward market pressure.
• Red Zone - Commercials are mathematically classified as bearish.
This typically corresponds with increased downward pressure in the underlying market.
• Neutral Zone - Neither bull nor bear dominance; positioning is mid-range.
Since COT data is published only once per week and the COT Index is built on cyclical multi-week analysis, the indicator is intended to be used exclusively on the weekly timeframe.
Using lower timeframes will not reflect the structure of the data accurately.
The selected cycle length (typically 26 weeks, optionally 52 weeks) determines how net positions are compared and normalized, and can influence how quickly extreme zones appear.
The COT Index provides an objective way to interpret Commercial trader sentiment and to identify potential directional bias in the market.
COT Net Positions by thedatalayers.comCOT Net Positions by thedatalayers.com visualizes the net positioning of different trader groups based on the weekly Commitments of Traders (COT) reports published by the CFTC every Friday.
The indicator processes the raw COT data by calculating Long positions minus Short positions for each trader category. This results in the net position of every group per report.
The script then plots these net positions continuously over time, based on every available COT release. This creates a clear and easy-to-read visualization of how different market participants are positioned.
The indicator displays the three primary COT categories:
• Commercials
• Non-Commercials
• Non-Reportables
By observing how these trader groups shift their positioning, traders can better understand market sentiment and identify potential directional biases or changes in underlying market pressure.
This tool is designed to help traders incorporate positioning data into their analysis and to better interpret how institutional and speculative flows evolve over time.
This indicator is intended to be used exclusively on the weekly timeframe.
COT data is published once per week by the CFTC and therefore only updates weekly.
Using this script on lower timeframes may result in misleading visualization or irregular spacing between data points.
For correct interpretation, please apply it on 1W charts only.
Dragon Smart Detector [Sentiment & Flow HUD]Dragon Smart Detector is a professional-grade contextual analysis tool designed to answer the most critical questions in trading: "Is the market driven by Fear or Greed?", "Is Smart Money stepping in?", and "Is the current breakout genuine?".
Instead of lagging indicators or simple buy/sell arrows, this tool provides a Head-Up Display (HUD) that analyzes the internal dynamics of price and volume in real-time.
1. 🧠 How It Works (The Core Logic)
This indicator combines technicals and fundamentals into four distinct metrics:
A. Market Sentiment (The Mood)
Quantifies crowd psychology using a hybrid algorithm of RSI (14) and Bollinger Bands.
EXTREME FOMO 🔥 (Red): Price is overextended beyond the upper band with high RSI. Indicates the crowd is euphoric. Risk Level: High.
EXTREME FEAR 😱 (Cyan): Price is panicking below the lower band with low RSI. Often marks a potential reversal bottom (Capitulation).
GREED / ANXIETY: Intermediate states of the market.
B. Volume Winner & Flow (The Battle)
Since accurate "Order Flow" data is not universal across all feeds, this script uses Price Spread Analysis to estimate aggressive pressure.
BULLS: Close price is near the High of the candle $\rightarrow$ Accumulation/Buying Pressure.
BEARS: Close price is near the Low of the candle $\rightarrow$ Distribution/Selling Pressure.
Flow Display: Shows the estimated percentage of Buying vs. Selling volume for the current session.
C. Volume Strength (RVOL)
Relative Volume compares the current volume against the 20-period simple moving average.
1.0x: Average volume.
> 2.0x (Orange): Volume is double the average. Significant activity.
> 3.0x (Pink/Magenta): Institutional Activity. Massive volume spike indicating Smart Money participation.
D. Float Rotation (The "Dragon" Metric)
Calculates what percentage of the company's available shares have been traded today.
Smart Data Fetch: The script automatically attempts to load FLOAT_SHARES. If unavailable (common with ETFs or some Indices), it intelligently switches to TOTAL_SHARES as a backup.
Why it matters: High rotation (e.g., > 2%) accompanied by a price increase suggests a massive changing of hands, often validating a strong breakout.
2. 🎯 How to Trade (Strategy Guide)
Scenario 1: The "Dragon Breakout" (Momentum)
Condition: Price is breaking a key resistance level.
Check HUD:
WINNER: Must be BULLS.
VOL STRENGTH: Should be > 1.5x (Orange) or > 3.0x (Pink).
ROTATION: High rotation confirms the breakout is supported by fresh demand.
Action: Enter the trade with confidence.
Scenario 2: The "Capitulation Buy" (Reversal)
Condition: Price is dropping sharply.
Check HUD:
SENTIMENT: Must show EXTREME FEAR 😱 (Cyan).
WINNER: Wait for the "Winner" status to flip from BEARS to BULLS (indicating a wick/rejection of lows).
Action: Look for long entries or reversal patterns.
Scenario 3: The "FOMO Trap" (Risk Management)
Condition: Price is rallying, but you are late to the party.
Check HUD:
SENTIMENT: Shows EXTREME FOMO 🔥.
FLOW: Shows BEARS winning (selling into strength/wicks).
Action: Do NOT buy. Tighten stop-losses or take partial profits.
3. ⚙️ Settings & Features
Smart Backup Data: Automatically handles N/A data for NASDAQ/NYSE tickers (like TSLA, NVDA) by switching data sources.
Manual Float: Allows you to manually input share count (in Millions) for penny stocks or local markets where data is missing.
Minimalist Mode: Hides Fundamental rows (Float/Rotation) if you only want to see Sentiment and Flow.
Visuals: Modern Neon/Borderless interface designed for dark mode charts.
Disclaimer
This indicator is for educational and informational purposes only. "Volume Flow" and "Winner" are estimates based on Price Action logic, not Level 2 data. Fundamental data relies on TradingView's financial database. Past performance does not guarantee future results.
Tip: Add this to your favorites ⭐️ and boost 🚀 if you find it useful in your daily trading!
Numanti - FairRate EUR/USD Fair ValueFairRate | EUR/USD Fair Value Indicator
Know When EUR/USD Is Overpriced or Underpriced
Price tells you where the market *is*. Fair value tells you where it *should be*.
EUR/USD doesn't move randomly. Interest rates, yield curves, risk appetite, and equity flows drive where the pair trades over time. When price strays too far from these fundamentals, it tends to snap back.
FairRate shows you exactly how far price has strayed.
How It Works
The indicator calculates a fair value for EUR/USD based on macroeconomic variables updated weekly. It then measures the deviation between current price and fair value in standard deviations (the z-score).
> +2σ --> EUR significantly overvalued — watch for pullback
+1σ to +2σ --> EUR above fair value
-1σ to +1σ --> Near equilibrium
-1σ to -2σ --> EUR below fair value
< -2σ --> EUR significantly undervalued — watch for bounce
The bigger the deviation, the stronger the fundamental pressure for mean reversion.
What You See on the Chart
- Fair Value Line — Where EUR/USD "should" be trading
- ±1σ and ±2σ Bands — Normal and extreme deviation zones
- Info Panel — Current fair value, z-score, and signal status
When price pushes into the outer bands, fundamentals are stretched. That's where opportunities often emerge.
Model Quality
This isn't a typical indicator or curve-fitted approach. It's a proper econometric model:
- R² > 80% — Fundamentals explain most of EUR/USD movement
- Out-of-sample validated — Works on data the model never saw
- Updated weekly — Fresh estimates every Friday
- Research-backed — Methodology documented in white paper
How Traders Use It
Mean Reversion
When z-score hits extreme levels (±2σ), look for reversal setups. Combine with your technical analysis for entries.
Trend Confirmation
If price is trending AND fundamentals support it (z-score moving in trend direction), that's a stronger move.
Risk Filter
Avoid counter-trend trades when z-score is near zero — there's no fundamental reason to expect a reversal.
Context Layer
Add fundamental context to pure price action. Know whether you're trading with or against the macro backdrop.
### What This Is NOT
- Not a buy/sell signal generator
- Not a timing indicator
- Not a substitute for technical analysis
FairRate is a fundamental layer — one piece of the puzzle that tells you whether EUR/USD is cheap, expensive, or fairly priced right now.
The Model
Built on peer-reviewed econometric methodology. The model captures the fundamental drivers that institutional desks use to assess currency valuation — not a black-box indicator or curve-fitted pattern.
Add FairRate to your EUR/USD analysis. Know where fundamentals stand.
© 2025 Numanti. All rights reserved.
Z-Score & StatsThis is an advanced indicator that measures price deviation from its mean using statistical z-scores, combined with multiple analytical features for trading signals.
Core Functionality-
Z-Score Calculation Engine:
The indicator uses a custom standardization function that calculates how many standard deviations the current price is from its rolling mean. Unlike simple moving averages, this provides a normalized view of price extremes. The calculation maintains a sliding window of data points, efficiently updating mean and variance values as new data arrives while removing old data points. This approach handles missing values gracefully and uses sample variance (rather than population variance) for more accurate statistical measurements.
Statistical Zones & Visual Framework:
The indicator creates a visual representation of statistical probability zones:
±1 Standard Deviation: Encompasses about 68% of normal price behavior (green zone)
±2 Standard Deviations: Covers approximately 95% of price movements (orange zone)
±3 Standard Deviations: Represents 99.7% probability range (red zone)
±3.5 and ±4 Thresholds: Extreme outlier levels that trigger special alerts
The z-score line changes color dynamically based on which zone it occupies, making it easy to identify the current market extremity at a glance.
Advanced Features:
Volume Contraction Analysis
The script monitors volume patterns to identify periods of reduced trading activity. It compares current volume against a moving average and flags when volume drops below a specified threshold (default 70%). Volume contraction often precedes significant price moves and is factored into the optimal entry detection system.
Momentum-Based Direction Model:
Rather than just showing current z-score levels, the indicator projects where the z-score is likely to move based on recent momentum. It calculates the rate of change in the z-score and extrapolates forward for a specified number of bars. This creates a directional arrow that indicates whether conditions are bullish (negative z-score with upward momentum) or bearish (positive z-score with downward momentum).
Divergence Detection System:
The script automatically identifies four types of divergences between price action and z-score behavior :-
Regular Bullish Divergence: Price makes lower lows while z-score makes higher lows, suggesting weakening downward pressure
Regular Bearish Divergence: Price makes higher highs while z-score makes lower highs, indicating exhaustion in the uptrend
Hidden Bullish Divergence: Price makes higher lows while z-score makes lower lows, confirming trend continuation in an uptrend
Hidden Bearish Divergence: Price makes lower highs while z-score makes higher highs, confirming downtrend continuation
The system uses pivot detection with configurable lookback periods and distance requirements, then draws connecting lines and labels directly on the chart when divergences occur.
Yearly Statistics Tracking:
The indicator maintains historical records of maximum z-score deviations over yearly periods (configurable bar count). This provides context by showing whether current extremes are unusual compared to typical annual ranges. The average yearly maximum helps traders understand if the current market is exhibiting normal volatility or exceptional conditions.
Mean Reversion Probability:
Based on the current z-score magnitude, the indicator calculates and displays the statistical probability that price will revert toward the mean. Higher absolute z-scores indicate stronger mean reversion probabilities, ranging from 38% at ±0.5 standard deviations to 99.7% at ±3 standard deviations.
Comprehensive Statistics Table:
A customizable on-chart table displays real-time statistics including:
Current z-score value with directional indicator
Predicted z-score based on momentum
Current year's maximum absolute z-score
Historical average yearly maximum
Mean reversion probability percentage
Zone status classification (Normal, Moderate, High, Extreme)
Directional bias (Bullish, Bearish, Neutral)
Active divergence status
Volume contraction status with ratio
Optimal setup detection (combining extreme z-scores with volume contraction)
Optimal Entry Setup Detection:
The most sophisticated feature identifies high-probability trading setups by combining multiple factors. An "Optimal Long" signal triggers when z-score reaches -3.5 or below AND volume is contracted. An "Optimal Short" signal appears when z-score exceeds +3.5 AND volume is contracted. This combination suggests extreme price deviation occurring on low volume, often preceding strong reversals.
Alert System:
The script includes a unified alert mechanism that triggers when z-score crosses specific thresholds:
Crossing above/below ±3.5 standard deviations (extreme levels)
Crossing above/below ±4 standard deviations (critical levels)
Alerts fire once per bar with confirmation (previous bar must be on opposite side of threshold) to avoid false signals.
Practical Application:
This indicator is designed for mean reversion traders who seek statistically significant price extremes. The combination of z-score measurement, volume analysis, momentum projection, and divergence detection creates a multi-layered confirmation system. Traders can use extreme z-scores as potential reversal zones, while the direction model and divergence signals help time entries more precisely. The volume contraction filter adds an additional layer of confluence, identifying moments when reduced participation may precede explosive moves back toward the mean.
Chart Attached: NSE GMR Airports, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
NIFTY T1 & T2 Strategy (65% SL, 15:15 Exit)Time based trading strategy without any indicator and reflecting operators move
VX-Time Quadrant Overlay (Quarterly Cycles) by Ikaru-s-The Time Quadrant Overlay is a purely time-based visualization tool designed to structure market time into repeating quarterly cycles across multiple timeframes.
It does not generate trade signals, entries, or bias.
Its sole purpose is to provide time context, so price action can be interpreted within a clear cyclical framework.
What this indicator does
The indicator divides time into four repeating quarters (Q1–Q4) and displays them simultaneously across different time horizons, such as:
Weekly
Daily (6-hour quarters)
90-minute cycles
Micro cycles (within 90-minute structure)
Each row represents a different time cycle, allowing traders to see time alignment, transitions, and overlaps at a glance.
Quarter Structure
Each cycle follows the same repeating sequence:
Q1 – Early phase
Q2 – Expansion / “True Open” phase
Q3 – Continuation
Q4 – Late phase / Transition
The quarters are visualized using color-coded boxes, making it easy to see:
where the market currently is in time
when a new quarter begins
when multiple cycles align or diverge
Quarter Start Marker
An optional Quarter Start Marker (vertical dashed line) can be enabled to highlight the start of a selected quarter (default: Q2).
This is intended as a time reference, not a signal:
useful for planning
useful for contextualizing reactions to levels
useful for session and cycle awareness
How to use it (practical)
This tool is best used to:
provide time structure to existing analysis
plan around upcoming time transitions
contextualize reactions to levels or areas
understand where price is acting within a cycle
It works well alongside:
discretionary price action
session-based trading
futures and index markets
any methodology that respects time as a variable
Customization
The indicator is fully customizable:
Enable / disable individual cycles
Adjust box transparency and history depth
Toggle labels and pane labels
Enable / disable quarter start markers
Select which quarter to highlight
This allows the tool to remain clean on higher timeframes and detailed on lower ones.
Important Notes
This is a visual framework, not a strategy.
No claims of predictive power are made.
Time structure does not replace risk management or execution logic.
The indicator is designed to adapt across markets, but interpretation remains discretionary.
Final Thoughts
Time is often treated as secondary to price.
This tool exists to make time visible, structured, and easy to work with — nothing more, nothing less.
Swing Elite Valuation ToolSwing Elite Macro Valuation
This indicator provides intermarket valuation analysis by measuring how an asset is priced relative to key macroeconomic instruments. Rather than analyzing price in isolation, it contextualizes current levels against bonds, the dollar, and gold — the three pillars of macro market structure.
The Concept Behind Macro Valuation
Assets don't move in a vacuum. Equities, commodities, and currencies maintain dynamic relationships with macro instruments. When the S&P 500 rises while bonds (ZB1) also rally, that's a different signal than when stocks rise while bonds sell off. Similarly, an asset's relationship to the dollar index (DXY) and gold (GC1) reveals whether price moves reflect genuine strength or simply dollar weakness.
This indicator quantifies these relationships by normalizing relative performance into a 0-100 scale, making it easy to identify when an asset is historically overvalued or undervalued relative to macro conditions.
How Valuation Is Calculated
The indicator computes a ratio between the charted asset and each comparison instrument, then normalizes this ratio as a percentage move from a historical baseline. Two modes are available: Short-term mode captures recent sentiment shifts and is useful for tactical positioning, while Long-term mode evaluates deeper macro positioning for swing trades and portfolio decisions.
The normalized reading places current valuation within historical context. A reading near 88+ suggests the asset is overvalued relative to that macro instrument — price has extended beyond typical ranges. Readings below 10 indicate undervaluation, where the asset may be oversold relative to macro conditions.
Dynamic vs Manual Thresholds
Users can select between manual threshold levels or automatic dynamic bands. Auto-levels calculate overvalued and undervalued zones using standard deviation from the mean, adapting to each asset's historical volatility. Manual mode allows fixed thresholds for traders who prefer consistent reference points across different instruments.
Multi-Instrument Flexibility
While defaults include ZB1 (30-year Treasury futures), DXY (dollar index), and GC1 (gold futures), any symbol can be substituted. This allows analysis against silver, currency futures, sector ETFs, or any instrument relevant to your trading thesis. Each comparison instrument displays independently with color-coded status: readings in overvalued territory appear red, undervalued zones show green, and neutral conditions display blue.
Practical Application
This tool serves traders who incorporate intermarket analysis into their decision-making. When an asset shows overvalued readings against multiple macro instruments simultaneously, it suggests price has extended relative to the broader macro environment — a potential mean reversion setup. Conversely, undervaluation across multiple macro comparisons can highlight value opportunities where price hasn't kept pace with supportive macro conditions.
The dashboard table provides at-a-glance status for each comparison, while alert conditions enable notifications when valuation crosses key thresholds.
KIMATIX LITE AbsorptionThis indicator highlights absorption intensity directly on the chart using numeric sigma values only.
It is a deliberately reduced, signal-agnostic visualization designed to expose where significant absorption occurs, without adding levels, lines, or trade logic.
What you see
Numeric sigma values on candles
Each number represents the strength of absorption measured in standard deviations (σ).
Color-coded context
Green numbers below price → sell-side absorption
Red numbers above price → buy-side absorption
Only values that exceed the Minimum Sigma threshold are displayed.
No lines, zones, triangles, or alerts are shown — only the raw absorption magnitude.
How it works (LITE Version)
Absorption is derived from volume relative to candle structure
Values are normalized and filtered using:
A fixed statistical lookback
Wick dominance rules to avoid noise
Only statistically significant events (σ ≥ threshold) are visualized
All other calculations run silently in the background.
Intended use
This Lite version is meant to:
Identify areas of aggressive participation or defense
Spot potential absorption during trends or ranges
Provide context for liquidity, exhaustion, or hidden interest
It is not a trading system and does not generate entries or exits.
Use it as a contextual layer alongside your own execution logic.
The full version is distributed separately.
More information can be found here:
whop.com
KIMATIX LITE Trading TableThe KIMATIX LITE Trading Table is a structured decision-support overlay that condenses complex market logic into a single, easy-to-read table.
Table fields explained
* BUY / SELL when a valid setup is active
* NONE when no qualified setup exists
Includes the live status: ACTIVE, TP1, TP2, or STOP.
ENTRY
The calculated entry price based on confirmed signal logic.
STOP
The risk-defined stop level derived from ATR structure.
TP1 / TP2
Pre-calculated profit targets based on fixed R-multiples.
MGMT
Displays trade management guidance when applicable
(e.g. instruction to move stop-loss to break-even after TP1).
Intended use
This indicator is not an execution tool.
It is meant to:
* Maintain situational awareness
* Enforce structured trade management
* Reduce emotional or impulsive decision-making
* Complement existing execution workflows
No alerts, chart drawings, or execution triggers are provided in this version.
The full version is distributed separately.
More information can be found here:
whop.com
VP + Fib + AVWAP + Graded Signals An indicator for the discretionary trader
Avwap, Fib and VP is all you need.
Graded signals for conviction.
LQ plots w/filled - 0x/Gh0stLiquidity Indicator
This indicator identifies significant swing highs and swing lows based on user-defined pivot strength and projects them forward as potential liquidity and reaction levels.
When a valid swing forms, the script:
1. Draws a horizontal level at the swing price
a. Optionally extends that level forward in time
b. Visualizes the level as a line and/or price box
c. Tracks the level until price interacts with or fills it
2. When price trades back through a level:
a. The level is marked as filled
b. A clear X marker is drawn at the point of fill
c. The level is optionally removed or hidden based on user settings
3. Useful for:
a. Designed for traders who focus on:
1. Market structure
2. Liquidity targets
Swing-based support and resistance
Identifying where price has already “paid” liquidity
This tool is structure-driven, it highlights where price has reacted and where it has not, letting YOU, the trader decide how to act.
Forexsebi - NASDAQ Psychological Levels - TrendflowTrendflow is an advanced TradingView indicator combining psychological price levels with trend and multi-timeframe analysis.
The indicator automatically plots psychological levels in around the current price. Each level is visualized using horizontal lines and price zones (boxes) to clearly highlight potential support and resistance areas.
Psychological Levels – Trendflow ist ein fortschrittlicher TradingView-Indikator , der wichtige psychologische Preislevel mit einer klaren Trend- und Multi-Timeframe-Analyse kombiniert.
Trend Analysis with SMAs
SMA 50 & SMA 200 plotted directly on the chart
Individually toggleable
Clear color separation for fast trend recognition
Multi-Timeframe SMA Trend Table
Trend status (BULLISH / BEARISH / NEUTRAL) across:
5M, 15M, 1H, 4H, 1D
Logic: Price relative to SMA 50 & SMA 200
Color-coded, easy-to-read table
Info Box
Current Gold price
Nearest psychological level above and below price
Alert System
Alerts when price approaches a psychological level
User-defined alert distance
USDT Market Cap Change [Alpha Extract]A sophisticated stablecoin market analysis tool that tracks USDT market capitalization changes across daily and 60-day periods with statistical normalization and gradient intensity visualization. Utilizing z-score methodology for overbought/oversold detection and dynamic color gradients reflecting change magnitude, this indicator delivers institutional-grade market liquidity assessment through stablecoin flow analysis. The system's dual-timeframe approach combined with statistical normalization provides comprehensive market sentiment measurement based on capital inflows and outflows from the dominant stablecoin.
🔶 Advanced Market Cap Tracking Framework
Implements daily USDT market capitalization monitoring with dual-period change calculations measuring both 1-day and 60-day net capital flows. The system retrieves real-time CRYPTOCAP:USDT data on daily timeframe resolution, calculating absolute dollar changes to quantify stablecoin supply expansion or contraction as primary market liquidity indicator.
// Core Market Cap Analysis
USDT = request.security("CRYPTOCAP:USDT", "D", close)
USDT_60D_Change = USDT - USDT
USDT_1D_Change = USDT - USDT
🔶 Dynamic Gradient Intensity System
Features sophisticated color gradient engine that intensifies visual representation based on change magnitude relative to recent extremes. The system normalizes current 60-day change against configurable lookback period maximum, applying gradient strength calculation to transition colors from neutral tones through progressively intense blues (negative) or reds (positive) based on flow direction and magnitude.
🔶 Statistical Z-Score Normalization Engine
Implements comprehensive z-score calculation framework that normalizes 60-day market cap changes using rolling mean and standard deviation for objective overbought/oversold determination. The system applies statistical normalization over configurable periods, enabling cross-temporal comparison and threshold-based regime identification independent of absolute market cap levels.
// Z-Score Normalization
Change_Mean = ta.sma(USDT_60D_Change, Normalization_Length)
Change_StdDev = ta.stdev(USDT_60D_Change, Normalization_Length)
Z_Score = Change_StdDev > 0 ? (USDT_60D_Change - Change_Mean) / Change_StdDev : 0.0
🔶 Multi-Tier Threshold Detection System
Provides four-level regime classification including standard overbought (+1.5σ), standard oversold (-1.5σ), extreme overbought (+2.5σ), and extreme oversold (-2.5σ) thresholds with configurable adjustment. The system identifies market liquidity extremes when stablecoin inflows or outflows reach statistically significant levels, indicating potential market turning points or trend exhaustion.
🔶 Dual-Timeframe Flow Visualization
Features layered area plots displaying both 60-day strategic flows and 1-day tactical movements with distinct color coding for instant flow direction assessment. The system overlays short-term daily changes on longer-term 60-day trends, enabling traders to identify divergences between tactical and strategic capital flows into or out of stablecoin reserves.
🔶 Gradient Color Psychology Framework
Implements intuitive color scheme where red gradients indicate capital inflow (bullish for crypto as USDT supply expands for buying) and blue gradients show capital outflow (bearish as USDT is redeemed). The intensity progression from pale to vivid colors communicates flow magnitude, with extreme colors signaling statistically significant liquidity events requiring attention.
🔶 Background Zone Highlighting System
Provides subtle background coloring when z-score breaches overbought or oversold thresholds, creating visual alerts without obscuring primary data. The system applies translucent red backgrounds during overbought conditions and blue during oversold states, enabling instant regime recognition across chart timeframes.
🔶 Configurable Normalization Architecture
Features adjustable gradient lookback and statistical normalization periods enabling optimization across different market cycles and trading timeframes. The system allows traders to calibrate sensitivity by modifying the window used for maximum change detection (gradient) and mean/standard deviation calculation (z-score), adapting to volatile or stable market regimes.
🔶 Market Liquidity Interpretation Framework
Tracks USDT supply changes as proxy for overall cryptocurrency market liquidity conditions, where expanding market cap indicates fresh capital entering crypto markets and contracting cap suggests capital flight. The system provides leading indicator properties as large stablecoin inflows often precede major market rallies while outflows may signal distribution phases.
🔶 Why Choose USDT Market Cap Change ?
This indicator delivers sophisticated stablecoin flow analysis through statistical normalization and gradient visualization of USDT market capitalization changes. Unlike traditional market sentiment indicators that rely on price action alone, this tool measures actual capital flows through the dominant stablecoin, providing objective assessment of market liquidity conditions. The combination of dual-timeframe tracking, z-score normalization for overbought/oversold detection, and intensity-based gradient coloring makes it essential for traders seeking macro-level market assessment and regime change detection across cryptocurrency markets. The indicator excels at identifying liquidity extremes that often precede major market reversals or trend accelerations.
ICT Candle Reading PROICT Candle Reading – Visual Clean
This indicator is designed to provide a clean and precise price reading, based on ICT and Smart Money Concepts, without cluttering the chart.
Its purpose is to help traders identify real institutional zones, understand market intention, and improve entry timing, using pure price action.
🔹 What does this indicator show?
🟢 Fair Value Gaps (FVG / Imbalances)
Detects market inefficiencies created by impulsive moves.
Displayed as clean and minimal boxes extended into the future.
Useful as mitigation, reaction, or continuation zones.
🟠 Liquidity Sweeps
Highlights liquidity grabs above recent highs or below recent lows.
Drawn using dashed horizontal lines.
Helps identify market manipulation before the true move.
🔵 Displacement Candles
Identifies candles with dominant bodies, showing institutional momentum.
Marked with small symbols to keep the chart clean.
Useful to confirm impulse starts or shifts in market intent.
🎯 Indicator Philosophy
❌ No lagging indicators
❌ No chart clutter
✅ Real ICT concepts
✅ Clean candle reading
✅ Suitable for scalping, intraday, and swing trading
⚙️ Customization
Each concept can be enabled or disabled individually.
Zone extension length is adjustable.
Optimized for 15M, 1H, and 4H timeframes.
📈 How to use
This indicator does not provide automatic buy/sell signals.
It is best used with:
Higher timeframe bias
Market structure
Session timing (London / New York)
Proper risk management
🧠 Final Notes
ICT Candle Reading – Visual Clean helps you see the market from an institutional perspective, focusing only on what truly matters: price, liquidity, and intent.
HTF Fair Value Gaps🔍 What This Indicator Does
1. Multi-Timeframe Fair Value Gap Mapping
Displays Fair Value Gaps from:
1H
4H
Daily (optional)
These HTF FVGs are projected onto lower timeframes (5M / 15M) so you can:
trade in alignment with HTF imbalance,
avoid entering directly into opposing zones,
understand where reactions are likely.
2. Bullish & Bearish FVG Clarity
Bullish FVGs highlight areas of inefficiency below price
Bearish FVGs highlight areas of inefficiency above price
Zones are color-coded and extend forward for clarity
This helps traders immediately identify:
pullback targets in trends,
continuation zones,
areas of potential reaction or acceleration.
3. Clean, Non-Cluttered Visualization
No lower-timeframe noise
No redundant boxes
HTF gaps only — intentional and selective
This keeps execution charts readable and focused.
Warpath Structure + Liquidity ToolWarpath visually organizes the key elements required to trade Gold professionally:
1. Market Structure Clarity
Automatically labels HH / HL / LH / LL on major pivot points (current chart timeframe)
Makes directional bias immediately obvious
Helps prevent counter-trend trading in strong expansions
2. Liquidity Sweep Detection (Wick-Only)
Highlights true liquidity sweeps using wick behavior (no breakout guessing)
Marks the sweep wick with user-defined colors
Draws a swept-zone box that extends forward to show where liquidity was taken
Designed to identify fuel vs reversal behavior in trends
3. Key Session Levels
Automatically plots:
Asian High / Low
London High / Low
New York High / Low
Previous Day High / Low
Includes Equal Highs / Equal Lows from:
current timeframe
higher timeframes (1H / 4H / Daily)
These levels represent where price is likely to react, not where trades should be forced.
4. HTF Bias Dashboard (Minimal & Clean)
Small dashboard in the corner showing:
15M bias
1H bias
4H bias
Daily bias
Keeps higher-timeframe alignment visible without clutter
5. Premium / Discount & Market State Awareness
Uses previous session equilibrium (50%) with a neutral buffer
Helps frame:
premium vs discount
neutral vs expansion environments
Designed for context, not entry signals
6. Continuation Reload Awareness (Strong Trend Environments)
Built to handle markets that:
remain overbought
stay in premium
sweep buy-side liquidity repeatedly
Supports compression → expansion continuation behavior
Prevents missed participation during multi-day trends without abandoning discipline
FVG + Inversion + MidlineThis is a rough version. Still in works.
Off Mode - Shows bullish and bearish FVGS
Only Mode - Only shows inverted FVGs in white (those above price are usually resistance zones and below tend to be support with the more recent and higher timeframe ones being most relevant)
Blended - Shows Both
You can adjust the amount of zones to be shown to modify the lookback period.
You can also adjust the price range by a standard deviation of 100% to only cover a specific price range.
Rest of the features are still being cleaned or irrelevant for the most part.
