US Stock Market Performance by Sector[Dots3Red]This indicator displays the annual performance of the U.S. stock market by sector.
Selected major sectors
IND – Industrials
TECH – Technology
HTH – Healthcare
FIN – Financials
COMM – Communication Services
CONSCYC – Consumer Cyclical
CONSSTAP – Consumer Staples
ENERGY – Energy
REAL ESTATE – Real Estate
BASMAT – Basic Materials
The data is presented in a table below the main chart.
Green cell — the sector was bullish during that year
Red cell — the sector was bearish during that year
The table automatically sorts sectors by performance, placing the best-performing sector at the top for each year.
NOTE:
Annual performance is calculated starting from 2020 by default (arbitrarily chosen) and can be adjusted by the user.
Fundamental Analysis
200 EMA Scalping 1 MinuteOnly Scalping in 1 Minute Super accurate, low faults, Strict rule based management, in Nifty 50
Sharpe Ratio [Alpha Extract]A sophisticated risk-adjusted return measurement system that calculates annualized Sharpe Ratio with dynamic color-coded visualization distinguishing return quality across positive and negative performance regimes. Utilizing rolling period calculations with smoothed moving average comparison, this indicator delivers institutional-grade performance assessment with overbought/oversold threshold detection for extreme risk-adjusted return conditions. The system's four-tier color classification combined with histogram fills and background highlighting provides comprehensive visual feedback on whether current returns justify their volatility risk across varying market cycles.
🔶 Advanced Sharpe Ratio Calculation Engine
Implements classic Sharpe Ratio methodology measuring mean daily return divided by return standard deviation with annualization factor for consistent interpretation. The system calculates daily percentage returns, computes rolling mean and standard deviation over configurable periods, applies square root of 365 scaling for annualized comparison, and generates unbounded ratio values where higher positive readings indicate superior risk-adjusted performance.
// Core Sharpe Ratio Framework
Daily_Return = close / close - 1
Mean_Return = ta.sma(Daily_Return, Period)
StdDev_Return = ta.stdev(Daily_Return, Period)
Sharpe_Ratio = (Mean_Return / StdDev_Return) * sqrt(365)
🔶 Dynamic Four-Tier Color Classification
Features sophisticated color logic distinguishing between strong positive returns (green), weakening positive returns (yellow), weakening negative returns (orange), and strong negative returns (red) based on relationship to smoothed average. The system compares current Sharpe against SMA-smoothed baseline, applying green when positive and accelerating, yellow when positive but decelerating, orange when negative but improving, and red when negative and deteriorating for nuanced regime assessment.
🔶 Smoothed Baseline Comparison Framework
Implements SMA smoothing of Sharpe Ratio with configurable period to establish momentum reference line for trend determination within risk-adjusted returns. The system calculates simple moving average of raw Sharpe values, uses this smoothed line as directional benchmark, and determines whether current risk-adjusted performance is strengthening or weakening relative to recent average for color classification logic.
🔶 Extreme Threshold Detection System
Provides overbought and oversold level identification with configurable upper and lower bounds marking exceptional risk-adjusted return extremes. The system defaults to +4.3 for overbought threshold (extremely favorable risk-return profile) and -2.3 for oversold threshold (severely unfavorable risk-return profile), applying dashed horizontal reference lines and background highlighting when Sharpe breaches these statistical extremes requiring attention.
🔶 Histogram Fill Visualization Architecture
Creates gradient-filled histogram between Sharpe Ratio line and zero baseline using dynamic color matching with 30% transparency for intuitive positive/negative return distinction. The system fills area above zero with bullish colors (green/yellow) and below zero with bearish colors (orange/red), providing immediate visual confirmation of whether returns are compensating for volatility risk or destroying risk-adjusted value.
🔶 Background Zone Highlighting Framework
Implements subtle background coloring when Sharpe enters extreme overbought or oversold zones, alerting traders to statistically significant risk-adjusted return conditions. The system applies semi-transparent red background when ratio exceeds +4.3 (exceptionally strong risk-adjusted returns potentially unsustainable) and green background when below -2.3 (severely poor risk-adjusted returns potentially reversionary), creating visual alerts without obscuring price action.
🔶 Annualization Methodology Integration
Utilizes standard square root of time scaling (sqrt(365)) to convert rolling period Sharpe calculations into annualized format for cross-temporal comparison. The system applies this mathematical transformation ensuring Sharpe values represent expected annual risk-adjusted returns regardless of calculation period length, enabling consistent interpretation whether using 100-day or 200-day rolling windows.
🔶 Zero-Line Reference System
Provides critical zero-line plot serving as boundary between positive risk-adjusted returns (capital allocation justified by return/risk profile) and negative risk-adjusted returns (strategy destroying value on risk-adjusted basis). The system emphasizes this threshold as decision point where values above zero suggest continuation while values below zero indicate reconsideration of exposure.
🔶 Momentum-Based Color
Transitions Implements intelligent color switching logic that considers both absolute Sharpe value and its momentum relative to smoothed average, creating four distinct regimes for granular performance assessment. The system enables identification of bullish acceleration (green), bullish deceleration (yellow), bearish improvement (orange), and bearish acceleration (red) for nuanced position management beyond simple positive/negative classification.
🔶 Configurable Period Optimization
Features adjustable calculation period and smoothing length enabling optimization across different trading timeframes and volatility regimes. The system defaults to 150-period calculation (approximately 6-7 months of daily data) with 30-period smoothing, but allows customization from short-term tactical assessment to long-term strategic evaluation based on investment horizon and strategy requirements.
🔶 Performance Optimization Framework
Employs efficient rolling calculations with streamlined daily return processing and optimized standard deviation computation for smooth real-time updates. The system includes minimal computational overhead through single-pass mean and variance calculations, enabling consistent performance across extended historical periods while maintaining accuracy of risk-adjusted return measurements.
This indicator delivers sophisticated risk-adjusted return analysis through classic Sharpe Ratio methodology with enhanced visual classification distinguishing return quality and momentum. Unlike simple return-focused indicators, Sharpe Ratio penalizes volatility ensuring traders evaluate whether returns justify the risk undertaken. The system's four-tier color coding, smoothed baseline comparison, and extreme threshold detection make it essential for portfolio managers and systematic traders seeking objective performance assessment beyond raw price gains. High positive Sharpe values indicate efficient return generation relative to volatility risk, while negative values signal value destruction on risk-adjusted basis requiring strategy reassessment. The indicator excels at identifying periods when risk-taking is rewarded (green zones) versus periods when volatility exceeds returns (red zones) across cryptocurrency, forex, and equity markets for optimal capital allocation decisions.
PEGY RatioThe basic metrics that all indicators descend from are for each bar the Open, High, Low, Close and Volume where the Close is often noted as Price. Then the Price/Earnings ratio entered trading. Price/Earnings is often noted as P/E ratio or PE.
The first major formalisation and widespread use of the P/E ratio came in 1934, when Benjamin Graham and David Dodd introduced it in their landmark book "Security Analysis". Their work established the P/E ratio as a core tool in fundamental analysis and value investing.
Graham’s influence was profound: he used the P/E ratio to help investors judge whether a stock was overpriced or underpriced, and his teachings shaped generations of value investors, including Warren Buffett.
The P/E ratio evolved into modern variants like forward P/E and Shiller CAPE.
There’s no single P/E cutoff that definitively marks a “growth” or “income” stock, but investors commonly treat P/E below about 10–15 as value/income oriented and P/E above about 20–25 as growth oriented. It is important to watch the P/E trend. If the P/E is a low value and reducing in value, then the company may be failing, and it is not good to invest in.
P/E is a relative signal, not an absolute rule. A high P/E usually means the market expects above average future earnings growth; a low P/E often signals lower growth expectations, higher current yield, or elevated risk. Benchmarks vary by sector and cycle: what’s “high” for utilities is low for software. Historical market averages (e.g., S&P 500) help frame whether a multiple is elevated or depressed.
The next step was the PEG ratio which was first introduced in 1969 by Mario Farina, who described it in his book "A Beginner’s Guide to Successful Investing in the Stock Market".
The concept later gained widespread popularity thanks to Peter Lynch, who championed it in his 1989 bestseller "One Up on Wall Street", arguing that a “fairly priced” company tends to have a PEG of about 1. Over 1 is overpriced and below is a bargain.
Later the PEGY ratio, a variation of the PEG ratio that added dividend yield into the valuation came into prominence so that mature, dividend paying companies are treated “fairly” . The PEGY ratio emerged in the 1990s as analysts and portfolio managers began adapting the PEG ratio for dividend paying companies. The concept is a natural extension of Peter Lynch’s PEG logic: If growth matters, and dividends matter, combine them into one valuation metric.
PEGY (Price/Earnings Growth% and Dividend Yield) is a straightforward modification of the PEG ratio that adds dividend yield to the growth term so that mature, dividend paying companies aren’t penalized by low growth rates alone. The formula is typically written as:
PEGY=(Price/Earnings)/(Earnings growth %+Dividend yield%)
Peter Lynch (One Up on Wall Street, 1989) is the most cited printed source that describes a dividend adjusted PEG concept and applies it as a practical screening rule for investors. PEGY is in Chapter “Some Fabulous Numbers”.
If earnings are negative, then the PEGY ratio will be negative, and it is best to invest in companies that make money. That is, positive PEGY ratio.
The PEGY ratio can have different ratios depending upon whether historical data is used (Mario Farina preference) or whether forward looking earnings (Peter Lynch preference) is used in the calculations.
Enough for the history lesson. You can quickly go through your watchlist and determine which stocks have a PEGY Ratio from 0 to 1 and eliminate the others. Then whittle down that list to find stocks travelling from bottom left to upper right on the page. Use any other indicators on that reduced list that your tradng plan uses and there you have your list of stocks in which to invest.
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation
📊 Introduction: Understanding Smart Money Concepts
The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets.
What Makes This Different?
While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you:
Where large players are accumulating or distributing positions
How they engineer liquidity to trigger retail stop losses
When they're shifting from one directional bias to another
Where price inefficiencies exist that institutions will likely revisit
The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals.
The Philosophy Behind Smart Money Concepts
Smart Money Concepts is built on several core principles:
1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move.
2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning.
3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance.
4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins.
This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity.
🎯 Core Features - Deep Dive
1. Market Structure Detection & Visualization
What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics.
How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation.
Visual Presentation:
Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected
Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged
Trading Application: These structure levels serve multiple purposes:
Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends
Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup
Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure
Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries
Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves.
2. Break of Structure (BOS) - Trend Confirmation
What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction.
The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that:
There's sufficient institutional buying/selling to overcome the supply/demand at previous structure
The trend has enough momentum to attract more participants
Stop losses above/below structure have been triggered, providing liquidity for continuation
Signal Characteristics:
Bullish BOS Label: Appears below the bar that closes above the previous swing high
Bearish BOS Label: Appears above the bar that closes below the previous swing low
Confirmation: Requires a full candle close, preventing false signals from wicks
Trading Strategies:
Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break
Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure
Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow
Scaling Strategy: Add to positions on each successive BOS in trending markets
What to Watch For:
Volume: Strong BOS movements should be accompanied by above-average volume
Speed: Rapid price movement through structure suggests institutional urgency
Follow-Through: The best BOS signals see price continue strongly without immediately reversing
Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks
Common Pitfalls:
Not all structure breaks are equal—BOS during ranging markets are less reliable
A BOS immediately followed by a reversal back into the range may indicate a failed breakout
During major news events, structure can be broken temporarily without institutional intent
3. Liquidity Sweep Detection - Spotting Manipulation
What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation.
Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions:
Trigger retail stop losses (creating market orders)
Activate pending buy/sell orders
Fill their large positions at favorable prices
Trap late breakout traders before reversing
Detection Methodology: The indicator identifies sweeps using multiple criteria:
Price must penetrate beyond the structural high/low (creating the sweep)
The candle must close back on the opposite side of the structure (confirming rejection)
The sweep distance is measured against ATR to distinguish manipulation from normal volatility
The sweep multiplier setting allows you to adjust sensitivity based on market conditions
Visual Indicators:
Orange Down Arrows: Mark liquidity sweeps above structural highs
Lime Up Arrows: Mark liquidity sweeps below structural lows
Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area
Persistent Display: Zones remain visible for several bars to maintain context
Trading Applications:
Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep:
Wait for the sweep to complete (candle closes back inside structure)
Look for a Change of Character signal for confirmation
Enter in the direction opposite to the sweep
Place stops beyond the sweep high/low
Target the opposite side of the range or next structural level
Continuation Filtering: Not all sweeps lead to reversals. During strong trends:
Sweeps of minor structure in a trending market often precede continuation
Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation)
Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes.
Advanced Sweep Analysis:
Double Sweeps: When both sides of a range are swept, expect a strong breakout
Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns
Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps
Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation
What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR
✅ Strong rejection candle (long wick, decisive close)
✅ Occurs at a higher timeframe structural level
✅ Creates a Change of Character on the following move
✅ Sweeps an obvious level where retail stops cluster
4. Change of Character (CHOCH) - Major Reversal Signals
What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes.
The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence:
Established Trend: A clear directional bias with multiple BOS in one direction
Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase)
Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase)
This combination shows that institutions have:
Completed their accumulation/distribution at favorable prices (via the sweep)
Shifted their positioning from bullish to bearish (or vice versa)
Begun a new directional campaign
Visual Presentation:
Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control
Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control
Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance
Why CHOCH Signals Are So Powerful:
Trend Reversal Identification: They mark the earliest possible confirmation of a trend change
High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading
Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend
Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment
Trading CHOCH Signals:
The Perfect CHOCH Setup:
Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish)
Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction
CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger
Entry Execution:
Aggressive: Enter immediately on CHOCH confirmation
Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance)
Stop Placement: Beyond the swept liquidity point
Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH
Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes:
Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves
4H CHOCH: Confirms daily direction, provides swing trade opportunities
1H CHOCH: Offers precise entry timing within the higher timeframe trend
15M CHOCH: Used for position scaling and intraday management
Example Trade Flow:
Daily Chart: Bullish CHOCH appears after weeks of downtrend
↓
4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH
↓
1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes
↓
Result: You've entered at the beginning of a major trend with multiple confirmations
CHOCH Quality Grading:
A-Grade CHOCH (Highest Probability):
Occurs at major higher timeframe structure
Following a clear liquidity sweep
Volume spike on the structural break
Multiple timeframe alignment
Creates a large Fair Value Gap on the break
B-Grade CHOCH (Good Probability):
Valid sweep and structure break
Single timeframe signal
Moderate volume
Occurs at minor structure
C-Grade CHOCH (Lower Probability):
Choppy, ranging market context
Weak sweep or unclear structure
Counter to higher timeframe trend
Low volume confirmation
Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break
❌ Ignoring higher timeframe context
❌ Taking every CHOCH regardless of quality
❌ Not waiting for pullbacks on aggressive trends
❌ Placing stops too tight, getting caught in volatility
Advanced CHOCH Concepts:
Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates:
Insufficient institutional conviction for the reversal
Fake-out to grab liquidity in the opposite direction
Need to wait for a higher timeframe CHOCH for confirmation
When a CHOCH fails, it often sets up an even stronger continuation of the original trend.
CHOCH vs BOS Decision Matrix:
If in doubt about trend direction → wait for CHOCH
If confident in trend → trade BOS continuations
After a CHOCH → next signals in the new direction are BOS
5. Fair Value Gaps (FVG) - Institutional Retracement Zones
What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow.
The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to:
Fill additional orders at more favorable prices
Allow the market to "breathe" before the next push
Create support/resistance at the gap for the next move
Restore balance to the order book
FVG Formation Criteria: This indicator uses enhanced FVG detection logic:
Bullish FVG (Upward Gap):
Current candle's low is above the high from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR (filtering minor gaps)
Typically forms on strong bullish momentum candles
Market moved up so fast it left unfilled sell orders
Bearish FVG (Downward Gap):
Current candle's high is below the low from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR
Typically forms on strong bearish momentum candles
Market moved down so fast it left unfilled buy orders
Visual Presentation:
Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top
Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom
Dynamic Management: Gaps automatically removed when filled or expired
Clean Display: Only active, unfilled gaps shown to prevent chart clutter
FVG Trading Strategies:
Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry:
Identify trend direction via CHOCH or BOS
Locate the nearest FVG in the direction of the trend
Set limit orders within the FVG zone
Stop loss beyond the FVG
Target the next structural level or previous swing
Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it:
Signals extreme institutional urgency
Indicates the move is likely to continue strongly
The unfilled gap becomes a "no-go zone" for counter-trend entries
Strategy 3: Multiple FVG Management When multiple FVGs form in sequence:
The first FVG is most likely to be filled
If price skips the first FVG, it signals exceptional strength
Sequential gaps create a "gap ladder" for scaling into positions
FVG Quality Assessment:
High-Quality FVGs (Best Trading Zones):
Large gap size (1.5x+ ATR)
Formed on high volume impulse moves
Aligned with higher timeframe structure
Created during CHOCH or strong BOS
Positioned between current price and key structure
Low-Quality FVGs (Use Caution):
Small gaps (< 0.5 ATR)
Formed during choppy, ranging conditions
Multiple overlapping gaps in the same area
Counter to higher timeframe trend
Very old gaps (50+ bars ago)
FVG Lifecycle Management:
The indicator intelligently manages FVG zones:
Gap Filling:
Bullish FVG is "filled" when price touches the bottom of the gap
Bearish FVG is "filled" when price touches the top of the gap
Filled gaps are automatically removed from the chart
Partial fills count as complete fills (institutions got their orders)
Gap Expiration:
Gaps older than the extension period (default 10 bars) are removed
This keeps the chart clean and focuses on relevant levels
Adjustable from 5-50 bars based on timeframe and trading style
Gap Priority: When multiple gaps exist, closest gap to current price is most relevant
Advanced FVG Concepts:
Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap.
FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries.
Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail.
FVG + Liquidity Sweep Combination: The ultimate entry setup:
Liquidity sweep occurs
CHOCH confirms reversal
Price retraces into FVG created during the CHOCH move
Enter with exceptional risk-reward ratio
FVG Statistics & Probabilities:
Research on FVG behavior shows:
Approximately 70% of FVGs get filled within 20 bars
FVGs formed during CHOCH have 80%+ fill rate
Larger gaps (2x+ ATR) have lower but higher-quality fill rates
Higher timeframe FVGs are more magnetic than lower timeframe
Timeframe Considerations:
Daily FVGs:
Can remain unfilled for weeks
Major institutional zones
Often mark the absolute best entry prices for swing trades
When filled, usually result in strong reactions
4H FVGs:
Typically fill within 3-7 days
Excellent for swing trading
Balance between frequency and reliability
1H FVGs:
Usually fill within 1-3 days
Good for short-term position trading
More frequent signals
15M FVGs:
Often fill same day
Best used for intraday refinement
Should align with higher timeframe gaps
🔧 Customization & Settings Guide
Structure Detection Settings
Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure."
Low Values (3-7):
Identifies minor swings and frequent structure points
More BOS and CHOCH signals
Better for scalping and day trading
Risk: More false signals in choppy markets
Best for: 15M-1H charts, active traders
Medium Values (8-15):
Balanced approach capturing meaningful swings
Default setting works well for most traders
Good signal-to-noise ratio
Best for: 1H-4H charts, swing traders
High Values (16-50):
Only major structural points identified
Fewer but higher-quality signals
Cleaner charts with less noise
Better for trending markets
Best for: 4H-Daily charts, position traders
ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection.
Shorter Periods (7-14):
More responsive to recent volatility changes
Better during high volatility events
May overreact to short-term spikes
Longer Periods (15-30):
Smoother, more stable volatility measurement
Better for swing trading
Reduces sensitivity to short-term noise
Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep.
Low Multiplier (0.5-0.9):
Catches smaller, more frequent sweeps
More signals but lower reliability
Good for scalping or high-frequency trading
Use in ranging markets
Medium Multiplier (1.0-1.5):
Balanced sensitivity
Default 1.2 works for most situations
Good signal quality
High Multiplier (1.6-3.0):
Only major, obvious sweeps detected
Fewer but very high-quality signals
Best for trending markets
Use when you want only the clearest setups
Display Options
Toggle Controls: Each component can be individually enabled/disabled:
Show Market Structure:
Turn off when chart becomes too cluttered
Essential for understanding context, generally keep ON
Disable only when you know structure from higher timeframe
Show Liquidity Zones:
Highlights swept areas with boxes
Can be disabled if you prefer cleaner charts
Keep ON when learning to spot manipulation
Show Break of Structure:
BOS labels can be disabled if trading only reversals
Keep ON for trend following strategies
Show Change of Character:
Core SMC signal, usually keep ON
Only disable if focusing purely on continuation trading
Show Fair Value Gaps:
OFF by default to prevent overwhelming new users
Turn ON once comfortable with basic structure
Can generate many zones on lower timeframes
FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed.
Short Extension (5-10):
Keeps charts very clean
Only shows very recent gaps
Good for day trading
May remove gaps before they fill
Medium Extension (11-25):
Balanced approach
Captures most gap fills
Good for swing trading
Long Extension (26-50):
Shows historical gap context
Better for position trading
Higher timeframe analysis
Can make charts busy on lower timeframes
Color Scheme Customization
Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should:
Clearly distinguish bullish vs bearish elements
Work well with your chart background (dark/light mode)
Be visible but not distracting
Match your personal preference for aesthetics
Default Colors:
Bullish: Cyan (
#00ffff) - visibility and association with "cool" buying
Bearish: Red (
#ff0051) - visibility and universal danger/selling association
FVG Bullish: 85% transparent cyan - visible but not overpowering
FVG Bearish: 85% transparent red - visible but not overpowering
Customization Tips:
Increase transparency if zones overwhelm price action
Use higher contrast colors on light backgrounds
Keep bullish/bearish colors visually distinct
Test colors across different market conditions
Optimization by Market Type
Forex (24-hour markets):
Structure Lookback: 10-15
ATR Period: 14-21
Sweep Multiplier: 1.0-1.5
Best Timeframes: 15M, 1H, 4H
Stocks (Session-based):
Structure Lookback: 8-12
ATR Period: 14
Sweep Multiplier: 1.2-1.8
Best Timeframes: 5M, 15M, 1H, Daily
Note: Gaps at market open/close aren't FVGs
Cryptocurrency (High volatility):
Structure Lookback: 12-20 (filter noise)
ATR Period: 10-14 (responsive to volatility)
Sweep Multiplier: 1.5-2.5 (larger sweeps)
Best Timeframes: 15M, 1H, 4H
Indices (Moderate volatility):
Structure Lookback: 10-15
ATR Period: 14-20
Sweep Multiplier: 1.0-1.5
Best Timeframes: 1H, 4H, Daily
📈 Complete Trading System & Strategies
The Complete SMC Trading Process
Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes:
Identify the prevailing market structure (bullish or bearish)
Mark key swing highs and lows
Note any recent CHOCHs that signal trend changes
Identify major Fair Value Gaps that could act as targets or entry zones
Determine areas of liquidity (obvious highs/lows where stops cluster)
Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe:
Wait for alignment with higher timeframe bias
Look for CHOCH signals if expecting reversal
Look for BOS signals if expecting continuation
Identify liquidity sweeps that create trading opportunities
Note nearby FVGs for entry refinement
Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry:
After higher timeframe signal, wait for lower timeframe confirmation
Enter on FVG fills, structure breaks, or CHOCH signals
Place stop beyond swept liquidity or broken structure
Set targets at next structure level or opposite side of range
Step 4: Management Active trade management increases profitability:
Move stop to breakeven after price moves 1R (risk unit)
Take partial profits at first target (structure level)
Let remainder run to major targets
Trail stop using FVGs or structure breaks in your direction
Exit if a counter-trend CHOCH appears
High-Probability Trading Setups
Setup 1: The Classic CHOCH Reversal
Market Context:
Extended trend in one direction
Price reaching obvious highs/lows where liquidity pools
Setup Requirements:
Liquidity sweep of the high/low
CHOCH signal fires
(Optional) Wait for pullback to FVG
Entry: On CHOCH confirmation or FVG fill
Stop: Beyond swept liquidity
Target: Previous swing in opposite direction
Example (Bullish):
Market in downtrend for 2 weeks
Price sweeps below obvious daily low
Bullish CHOCH fires (breaks previous lower high)
Enter immediately or wait for pullback to bullish FVG
Stop below swept low
Target: Previous lower high, then previous high
Risk-Reward: Typically 1:3 to 1:5+
Setup 2: BOS Continuation with FVG Entry
Market Context:
Established trend with recent CHOCH
Strong momentum in trend direction
Setup Requirements:
Recent CHOCH established trend direction
BOS signal confirms continuation
Wait for pullback into FVG created on the BOS move
Entry: Limit order within FVG zone
Stop: Beyond FVG (invalid if exceeded)
Target: Next structural level
Example (Bearish):
Bearish CHOCH 2 days ago
Price makes BOS breaking new low
Large bearish FVG created during the break
Price retraces into FVG zone
Enter short at FVG fill
Stop above FVG
Target: Next major low or daily FVG below
Risk-Reward: 1:2 to 1:4
Setup 3: Liquidity Sweep Fade
Market Context:
Ranging market between defined highs/lows
Obvious liquidity on both sides of range
Setup Requirements:
Clear range established (minimum 20-30 bars)
Price sweeps one side of range (high or low)
Strong rejection back into range
Entry: After sweep rejection confirmed
Stop: Beyond swept level
Target: Opposite side of range
Example:
Range between 1.0850-1.0920 (EUR/USD)
Price sweeps above 1.0920 to 1.0935
Strong bearish rejection candle back below 1.0920
Enter short at 1.0915
Stop at 1.0940 (above sweep high)
Target: 1.0850 (range low)
Risk-Reward: 1:2.6
Setup 4: Multi-Timeframe CHOCH Alignment
Market Context:
Major trend change occurring
Multiple timeframes showing reversal signals
Setup Requirements:
Daily timeframe shows CHOCH
Wait for 4H CHOCH in same direction
Enter on 1H CHOCH that aligns
Entry: 1H CHOCH confirmation
Stop: Below 4H structure
Target: Daily structural level
Example (Bullish):
Daily bearish trend for months
Daily bullish CHOCH appears
4H shows bullish CHOCH next day
1H bullish CHOCH provides entry
Enter long on 1H signal
Stop: Below 4H swing low
Target: Daily previous high
Risk-Reward: 1:5 to 1:10+
Position: Larger size due to alignment
Setup 5: Failed CHOCH Continuation
Market Context:
Strong trend temporarily looks like reversing
"False" CHOCH creates trap for counter-trend traders
Setup Requirements:
Apparent CHOCH against main trend
Price fails to follow through
Original trend resumes with strong BOS
Entry: On BOS in original trend direction
Stop: Recent swing
Target: Extension of original trend
Example:
Strong daily uptrend
Bearish CHOCH appears (potential reversal)
Price consolidates but doesn't follow through down
Bullish BOS breaks above recent consolidation
Enter long on BOS
Stop: Below failed CHOCH low
Target: New high extension
Risk-Reward: 1:3 to 1:6
Note: Failed reversals often lead to explosive continuations
Risk Management Framework
Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups.
Risk Calculation:
Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points)
Example:
Account: $10,000
Risk: 1% = $100
Entry: 1.0900
Stop: 1.0870 (30 pips)
Position Size: $100 / 30 pips = $3.33 per pip
Lot Size (Forex): 0.33 lots
Stop Loss Placement:
For CHOCH Reversals:
Place stop 5-10 pips beyond swept liquidity
Gives room for volatility while protecting capital
If swept liquidity is violated, setup is invalidated
For BOS Continuations:
Place stop beyond the FVG or structure that provided entry
Typically tighter stops (closer to entry)
Can trail stop to breakeven quickly
For Range Trading:
Stop beyond the swept level
Generally tight stops work well in ranges
Exit quickly if range boundaries break
Take Profit Strategy:
Scaling Out Method (Recommended):
First Target (50% of position): First structural level (1:1 to 1:2)
Second Target (30% of position): Major structure (1:3 to 1:5)
Trail Stop (20% of position): Let run to full extension
Full Exit Method:
Hold entire position to predetermined target
Requires more discipline
Higher reward but also higher risk of giveback
Trade Management Rules:
Breakeven Rule: Move stop to breakeven after 1R profit
Partial Profit Rule: Take partials at structure levels
Trailing Rule: Trail stop
FCF Yield - cristianhkrThis indicator is a fundamental valuation tool that calculates Free Cash Flow Yield in real-time. Unlike standard indicators, this script solves the data gap for European companies reporting semi-annually and allows for short-term projections.
What is FCF Yield?
It is the real "interest rate" a company generates relative to its current market price.
Formula: FCF Yield = (Free Cash Flow / Market Cap) * 100
Key Features:
Timeframe Flexibility: Switch between TTM (Trailing Twelve Months), FY (Fiscal Year), and FQ (Fiscal Quarter).
Smart Fallback System: Essential for European stocks. If you select "Quarter" for a company that only reports semi-annually (like many European ones: Adidas, LVMH, Pluxee), the script automatically detects and uses the Semi-Annual (FH) data instead of showing an error.
Projection/Annualization: Option to annualize short-term data (multiplies Quarters x4 or Semi-Annuals x2) to estimate annual yield based on the last report.
Intuitive Visualization: Green area for positive cash generation and red for cash burn.
Interpretation Guide (Fundamental):
5%: Generally indicates an attractive valuation (the company generates significant cash relative to its price).
< 2%: The company might be overvalued or is a high-growth company reinvesting everything. Negative: The company is burning cash (liquidity risk or early expansion phase).
Asian Liquidity Sweep + NY Reversal [NY Only]Asian Liquidity Sweep + NY Reversal
Concept
Asia builds a tight range → liquidity pool
London / early NY raids that liquidity (stop hunt)
New York delivers the real move in the opposite direction
Sessions utc+3
Asia range: 04:00 – 10:00
Liquidity sweep: London open → pre-NY (≈10:00–14:00)
Execution window: NY Kill Zone 15:00 – 18:00
Step-by-Step Model
Define Asia Range
Mark:
Asia High
Asia Low
Liquidity Sweep (Stop Hunt)
Price must do ONE of the following:
Sweep above Asia High → bullish liquidity taken
Sweep below Asia Low → bearish liquidity taken
NY Reversal Confirmation (Key Part)
Wait for NY Kill Zone and look for:
Strong rejection candle
Displacement / impulsive move back inside range
Optional: small internal structure break on lower TF
Entry Rules (High Probability)
🔻 If Asia High is swept:
Bias: SELL
Entry:
After NY rejection
On pullback to:
Discount zone / FVG
OR Asia High retest
SL: Above sweep high
TP:
Asia Low (TP1)
NY session low / next HTF liquidity (TP2)
If Asia Low is swept:
Bias: BUY
Entry:
NY rejection + displacement
Pullback to imbalance / Asia Low
SL: Below sweep low
TP:
Asia High
Daily high / premium liquidity
arrows/labels-will show when to buy or sell
signal-once per day
Use volume profile (max) for confirmation of entry point
Lets win together
BTC Fundamental Value Hypothesis [OmegaTools]BTC Fundamental Value Hypothesis is a macro-valuation and regime-detection model designed to contextualize Bitcoin’s price through relative market-cap comparisons against major capital reservoirs: Gold, Silver, the Altcoin market, and large-cap equities. Instead of relying on traditional on-chain metrics or purely technical signals, this tool frames BTC as an asset competing for global liquidity and “store-of-value mindshare”, then estimates an implied fair value based on how BTC historically coexists (or diverges) from these benchmark universes.
Core concept: relative market-cap anchoring
The indicator builds a reference-based fair price by translating external market capitalizations into implied BTC valuation using a dominance framework. In practice, you choose one or more reference universes (Gold, Silver, Altcoins, Stocks). For each selected universe, the script computes how large BTC “should be” relative to that universe (dominance ratio), and converts that into an implied BTC price. The final fair price is the average of the implied prices from the enabled universes.
Two dominance modes: automatic vs manual
1. Automatic Dominance % (default)
When enabled, the model estimates dominance ratios dynamically using a 252-period simple moving average of BTC market cap divided by each reference market cap. This produces an adaptive baseline that follows structural changes over time and reduces sensitivity to short-term spikes.
2. Manual Dominance %
If you prefer a discretionary macro thesis, you can directly input dominance parameters for each reference universe. This is useful when you want to stress-test scenarios (e.g., “BTC should converge toward X% of Gold’s market cap”) or align the model with a specific long-term adoption narrative.
Reference universes and data construction
- BTC market cap: pulled from CRYPTOCAP:BTC.
- Gold and Silver market caps: derived from the corresponding futures symbols (GC1!, SI1!) multiplied by an assumed total above-ground quantity (constant tonnage converted to troy ounces). This provides a practical and tradable proxy for spot valuation context.
- Altcoin market cap: pulled from CRYPTOCAP:TOTAL2 (total crypto market excluding BTC).
- Stocks market cap proxy (Σ3): a deliberately conservative equity benchmark built from three mega-cap stocks (AAPL, MSFT, AMZN) using total shares outstanding (request.financial) multiplied by price. This avoids index licensing complexity while still tracking a meaningful slice of global equity beta/liquidity.
Valuation output: overvalued vs undervalued (log-based)
The valuation readout is expressed as a percentage derived from the logarithmic distance between BTC price and the model’s fair price. This choice makes valuation comparable across long time horizons and reduces distortion during exponential growth phases. A positive valuation indicates BTC trading below the model’s implied value (undervalued), while a negative valuation indicates trading above it (overvalued).
Oscillator: relative momentum and regime confirmation
In addition to fair value, the indicator includes a momentum differential oscillator built from RSI(50):
- BTC RSI is compared to the average RSI of the selected reference universes.
- The oscillator highlights when BTC strength is leading or lagging the broader macro benchmarks.
- Color is rendered through a gradient to provide immediate regime readability (risk-on vs risk-off behavior, expansion vs contraction phases).
Visualization and UI components
- Fair Price overlay: the computed fair price is plotted directly on the BTC chart for immediate comparison with spot price action.
- Valuation shading: the area between price and fair price is filled to visually emphasize dislocation and potential mean-reversion zones.
- Oscillator panel: a zero-centered oscillator with filled bands helps you identify persistent trend regimes versus transitional conditions.
- Summary table: a right-side table displays the current valuation (over/under) and, when Automatic mode is enabled, the live dominance ratios used in the model (BTC/GOLD, BTC/SILVER, BTC/ALTC, BTC/STOCKS).
How to use it (practical workflows)
- Macro valuation context: use fair price as a structural anchor to assess whether BTC is trading at a premium or discount relative to external liquidity baselines.
- Regime filtering: combine valuation with the oscillator to distinguish “cheap but weak” from “cheap and strengthening” (and the inverse for tops).
- Mean-reversion mapping: large, persistent deviations from fair value often highlight speculative extremes or capitulation zones; this can support systematic entries/exits, position sizing, or hedging decisions.
- Scenario analysis: switch to Manual Dominance % to model adoption outcomes, policy-driven shifts, or multi-year re-rating assumptions.
Important notes and limitations (read before use)
- This is a hypothesis-driven macro model, not a literal intrinsic value calculation. Results depend on dominance assumptions, proxies, and data availability.
- Gold/Silver market caps are approximations based on futures pricing and fixed supply constants; real-world supply dynamics, above-ground estimates, and spot/futures basis can differ.
- The Stocks (Σ3) benchmark is a proxy and intentionally not “the whole market”. It is designed to represent a large-cap liquidity reference, not total equity capitalization.
- Always validate signals with additional context (market structure, volatility regime, risk management rules). This indicator is best used as a macro layer in a broader decision framework.
Designed for clarity, macro discipline, and repeatability
BTC Fundamental Value Hypothesis by OmegaTools is built for traders and investors who want a clean, data-driven way to interpret BTC through the lens of competing asset classes and capital flows. It is particularly effective on higher timeframes (Daily/Weekly) where macro relationships are more stable and valuation signals are less noisy.
© OmegaTools, Eros
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard
Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations.
Key Features:
Full Company Name: Displays the complete name of the entity.
Market Cap: Shows the current market capitalization.
Sector & Industry: Quickly identifies the sector and industry classification.
Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing).
Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
Trade TrackerThis indicator is a lightweight trade P/L monitor that takes a manual entry price, direction (long/short), position size, and a configurable dollar value per point/tick.
It computes real-time profit/loss by comparing the current close to the entry price, converting the move into points and then dollars based on your size and tick value.
On the last bar, it draws an entry line at the specified price and renders a stacked label at that level showing Buy/Sell, size, dollar P/L (green/red), and the point P/L.
It continuously deletes and redraws the line/labels to keep the chart clean, and it also plots the entry price so the value is visible in the data window and price scale.
P/E Ratio (TTM)This indicator plots the trailing P/E ratio (TTM) using GAAP EPS (TTM) sourced directly from TradingView’s fundamental data. It includes valuation‑zone color coding, yearly labels, and a clean, compressed visual layout suitable for most equities.
The goal is to provide a fast, intuitive view of how expensive or cheap a stock is relative to its historical earnings power.
Note:
The indicator caps P/E values around 120 for visual clarity.
Negative P/E ratios are intentionally excluded, since P/E is undefined when EPS is negative.
You can adjust the cap or remove it entirely if you prefer a full‑range view.
This tool is especially useful for identifying periods when a company is trading at historically elevated or discounted valuation levels.
Time Zones PROGeopbytech – Time Zones PRO (v6)
Geopbytech – Time Zones PRO is a professional market session indicator designed for intraday, scalping, and Smart Money Concepts (SMC) traders who want precise market timing and clean chart context.
This indicator allows you to visualize up to 5 configurable market sessions in a single script, fully adaptable to any timezone and trading style.
5 independent sessions (ON / OFF per session)
Custom session time ranges
Editable timezone (IANA format: America/New_York, Europe/London, UTC, etc.)
Soft and clean background shading
Session start flag (🚩) printed at the exact opening candle
Works on Forex, Indices, Gold, and Crypto
Built with Pine Script v6 (latest version)
Common Use Cases
London Session – Early liquidity grabs and manipulation
New York Killzone – High-probability SMC entries
Asia Range – Range building and target mapping
Custom sessions based on your local timezone
Easy Configuration
All settings are accessible from the indicator panel:
Enable or disable each session
Edit session names and time ranges
Adjust background colors
Select your real local timezone
Toggle session start flags on or off
No need to load multiple indicators — everything is centralized into one professional tool.
Indicator Philosophy
This indicator does NOT provide buy or sell signals.
Its purpose is to provide market context, timing, and structure , helping traders focus only on periods where institutional liquidity is active.
Perfectly compatible with:
Smart Money Concepts (SMC)
Order Blocks
Fair Value Gaps (FVG)
Market Structure
Liquidity Sweeps
Author
Geopbytech – Juan Delgado
Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice.
Always trade with proper risk management.
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity?
FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets.
It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number:
FED Net Liquidity =
FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP)
The goal is simple:
to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
Indian Equities Theme Tracker [EWT] - Sector Rotation HeatmapIdentify where the "Smart Money" is flowing in the Indian Markets.
The Indian Equities Theme Tracker is a powerful visual dashboard designed for NSE traders and investors to monitor sector rotation and relative strength in real-time. By tracking the most liquid Exchange Traded Funds (ETFs), this tool provides a birds-eye view of the Indian economy—from core benchmarks like Nifty 50 and Nifty 500 to high-growth themes like Defence, EV, Tourism, and Energy.
In modern markets, capital doesn't move into all stocks at once; it rotates between sectors. This script helps you spot the leaders and laggards across five different timeframes, ensuring you are always positioned in the strongest themes.
🚀 Key Features :
23+ Essential Themes: Tracks Broad Market, Market Caps (Mid/Small), Sectors (IT, Bank, Auto, Metal), and Narratives (Defence, Tourism, EV, Energy).
Dynamic Performance Sorting: Automatically reorders the table based on your selected lookback (1 Day, 1 Week, 1 Month, 3 Months, or YTD).
Heatmap Logic: Intuitive color coding helps you instantly identify extreme bullishness or bearishness across the board.
Liquidity Focused: Uses the most liquid NSE ETFs (BeES and equivalent) to ensure the data is accurate and reflects tradeable prices.
Pro UI Design: A clean, professional dashboard that can be positioned anywhere on your chart without cluttering your price action analysis.
📊 Themes Included :
Benchmarks: Nifty 500, Nifty 50, Nifty Next 50.
Market Caps: Midcap 150, Smallcap 250.
Sectors: Private & PSU Banks, IT, Pharma, Healthcare, FMCG, Auto, Metals, Infra, Realty.
Thematic/Narratives: Defence, Tourism, Energy, EV & New Age Automotive, Consumption.
Safe Havens: Gold & Silver.
🛠️ How to use :
Timeframe: Switch to the Daily (D) timeframe for the best results.
Settings: Use the inputs to change the table position (Top/Middle/Bottom) and the sorting criteria.
Strategy: Look for themes that are consistently at the top of the "1 Month" and "3 Month" lists—these are your structural leaders. Use "1 Day" to spot quick tactical bounces.
Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Always perform your own due diligence.
Macro 6-PackMacro 6-Pack dashboard: SPX momentum, VIX, HY credit spread, 10Y yield shifts, DXY trend, and 2s10s curve.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
Smart Floors & Ceilings [RSI + Volume] - MarcDuckMarks floors and ceilings based off of RSI and Volume
SPY Options Targets -IV Expected MoveWhat this indicator is?
This tool turns option implied volatility into two things:
1) Expected move levels on the SPY chart for a chosen time horizon
2) Estimated option premium targets if SPY reaches those levels
It is built to answer three trading questions:
1) How far can SPY reasonably move in my holding window
2) What SPY levels should I use for profit targets or invalidation
3) If SPY hits those levels, what option price is a realistic target
What the bands mean on the SPY chart
The bands are expected move levels on the underlying, recalculated each bar from the selected option’s implied volatility.
One sigma band
The teal band is the expected one standard deviation move over the next Horizon minutes. In practice, this is a normal move zone for that holding window.
Two sigma band
The orange band is the expected two standard deviation move over the next Horizon minutes. In practice, this is a large move zone for that holding window.
How to interpret value
If price is near the middle of the bands, the market is behaving normally for that window.
If price approaches the one sigma band, the move is extended for that window.
If price approaches the two sigma band, the move is unusually large for that window and you should expect either strong continuation or sharp mean reversion depending on market context.
What the table means and how to use it
IV
Implied volatility solved from the selected option price. Higher IV widens the bands and increases option targets.
DTE
Days to expiry of the selected option. Near expiry options can change faster and IV can shift quickly.
H move 1 sigma
The projected one sigma SPY move in dollars for the selected Horizon minutes. This is the key number for planning.
Opt at plus 1 sigma and minus 1 sigma
If SPY reaches the one sigma upper band or the one sigma lower band, the indicator estimates what your selected option should be worth at that moment, assuming implied volatility does not change.
Opt at plus 2 sigma and minus 2 sigma
Same idea for the two sigma bands.
Now opt px
Current option price for reference.
.................................................................................................................
How to trade using it?
Step 1 Pick the right option input
Choose the same expiry you plan to trade and pick a liquid contract, ideally at the money or near the money. This makes the IV reading more representative of the current tape.
Step 2 Set the horizon to your holding time
If you typically hold 15 to 30 minutes, set Horizon minutes to 15 or 30.
If you typically hold 60 to 120 minutes, set it accordingly.
This matters because the bands represent expected move for that exact window.
Step 3 Use the bands to define trade planning
For a long bias
Entry is your setup. The bands are used for targets and risk.
Target 1 is the one sigma upper band.
Target 2 is the two sigma upper band if momentum supports continuation.
Invalidation can be defined as losing the mid zone and failing to reclaim, or a clear level based stop. The indicator does not choose your stop. It gives your realistic upside distance.
For a short bias
Target 1 is the one sigma lower band.
Target 2 is the two sigma lower band if momentum supports continuation.
Invalidation can be defined similarly using your structure.
Step 4 Use the option targets as profit taking levels
Once you enter an option trade, ignore random premium swings and anchor to the table.
Common approach
Take partial profit when the option approaches the plus or minus one sigma target value.
Hold a smaller runner for the plus or minus two sigma target value.
If SPY hits the one sigma band but the option is far below the table target, it usually means implied volatility is dropping. Reduce expectations or exit earlier.
If SPY hits the one sigma band and the option is above the table target, it usually means implied volatility expanded. Consider taking profits sooner because this extra premium can mean revert.
Step 5 Use it to choose strikes
Before entering, check whether your desired option profit requires SPY to travel to the two sigma band within your horizon.
If yes, that is a lower probability trade for that window.
If your plan is achievable around the one sigma band, it is typically more realistic.
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Practical examples
Scalp example
Horizon 30 minutes.
If H move 1 sigma is about 1 dollar, then expecting a 3 dollar SPY move in 30 minutes is a two to three sigma expectation and should be treated as a low probability scalp unless a news event is active.
Intraday example
Horizon 120 minutes.
If H move 1 sigma is about 2 dollars, a 2 dollar move is a reasonable target and a 4 dollar move is the stretch target.
Important limitations
Implied volatility changes
The option target prices assume IV stays constant. In real markets IV can change during the move, especially on 0DTE, around news, or during sharp selloffs. Treat option targets as a baseline estimate.
Not a standalone signal
This indicator does not generate buy or sell signals. Combine it with your entry model, structure, or momentum confirmation.
Liquidity matters
Very wide bid ask spreads can distort the inferred IV. Use liquid contracts.
Suggested defaults for SPY
Use a liquid near the money option for the current expiry.
Horizon 30 for scalps, 60 for intraday, 120 for swings.
Keep expiry time at 16:00 New York.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Options involve risk and may not be suitable for all traders.
AuditLens - Profit Quality Analyzer📊 AuditLens - Profit Quality Analyzer
Ever wonder if a company's profits are real or just accounting tricks?
This indicator helps you spot potential earnings manipulation by analyzing the gap between reported profits and actual cash generation.
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🔍 WHAT IT DOES
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Calculates the "Divergence Ratio":
(Net Income - Operating Cash Flow) / Total Assets
• Positive divergence = Profits NOT backed by cash (risky)
• Negative divergence = Cash exceeds profits (healthy "cash cow")
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🚦 SIGNAL GUIDE
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🔴 RED FLAG (>10%): High risk - possible aggressive revenue recognition
🟠 ORANGE: Divergence trending up for 3+ quarters
🟡 YELLOW: Divergence trending up for 2+ quarters
🟢 GREEN (<-5%): "Cash Cow" - strong cash generation
✅ HEALTHY (0 to -5%): Normal profit quality
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📈 HOW TO USE
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1. Add to any stock chart
2. Check the summary table (top right)
3. Look for RED FLAGS before buying
4. Prefer stocks with negative divergence (cash cows)
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⚠️ FAMOUS EXAMPLES
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• Enron (2001): Showed profits but burned cash → Bankruptcy
• Wirecard (2020): €1.9B "cash" that didn't exist → Fraud
• Luckin Coffee (2020): Fake revenue, no cash backing → Delisted
This indicator would have flagged all of them.
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🔗 FULL VERSION
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Want more detailed analysis with:
• 6 advanced audit rules
• Historical trend analysis
• Receivables & Inventory checks
• Detailed reports for any stock
👉 Try the full version FREE: auditlens-check.netlify.app
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📚 THE LOGIC
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Based on forensic accounting principles:
- Companies can manipulate earnings (accruals)
- But cash flow is harder to fake
- Big gap between the two = potential red flag
This is NOT financial advice. Always do your own research.
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Built by AuditLens team 🔍
Questions? DM or comment below.
BTC Spot Premium Index (Coinbase - Binance )Overview
This indicator measures the price difference between Bitcoin (BTC) on Coinbase and Binance, providing insights into the buying pressure from US-based investors versus the global market. A positive premium suggests stronger buying activity on Coinbase, which is often interpreted as a bullish signal for BTC.
Key Features
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Premium Calculation: The core of the indicator is the formula: Coinbase BTC Price - Binance BTC Price.
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Visual Representation: The premium is plotted as an oscillator with a zero line. Positive values are colored green, and negative values are red, making it easy to identify the prevailing market sentiment.
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Moving Average: A customizable moving average (default is a 20-period SMA) is included to help identify the trend of the premium. The MA line is displayed in white.
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Adjustable Parameters: You can adjust the moving average length and type (SMA, EMA, WMA, RMA) to fit your trading style.
How to Use
1.
Identify US Market Sentiment: A sustained positive (green) premium suggests strong buying interest from the US market, which can be a precursor to price appreciation.
2.
Spot Trend Reversals: A crossover of the premium line above the zero line can signal a shift from bearish to bullish sentiment. Conversely, a cross below the zero line may indicate weakening US demand.
3.
Confirm with Moving Average: When the premium line crosses above its moving average, it can signal strengthening momentum. A cross below the MA may suggest a potential slowdown.
Interpretation
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Green Area (Positive Premium): Indicates that BTC is trading at a higher price on Coinbase than on Binance. This is generally considered a bullish sign, as it reflects strong demand from US investors.
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Red Area (Negative Premium): Indicates that BTC is trading at a lower price on Coinbase. This may suggest weaker demand in the US market or stronger selling pressure.
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White Line (Moving Average): Helps to smooth out the premium data and identify the underlying trend. Use it as a dynamic support or resistance level for the premium itself.
This indicator is a powerful tool for gauging market sentiment and can be a valuable addition to any BTC trader's toolkit. However, it should be used in conjunction with other technical analysis tools and not as a standalone signal for making trading decisions.
FDAX MarrellFDAX ONR + Range/Trend Confirm + 15m FVG (CET) — Indicator Description
This indicator is designed for FDAX traders who trade 15m Fair Value Gaps (FVG) using 1m confirmation (CISD/SMC execution) and want to avoid getting chopped in range days.
What it does
Overnight Range (ONR) module (00:00–08:55 CET)
Draws the Overnight box.
Calculates and displays key ON metrics:
ONR – overnight range size
Score – overnight directional efficiency (how “one-way” the move was)
Loc – where price closed inside the overnight range (close location)
Flags a Pre-Range bias when overnight behavior suggests a higher probability of a choppy/session-range environment.
Range vs Trend confirmation (European open logic)
Builds the Opening Range (OR30) box (09:00–09:30 CET).
Tracks TR60 (09:00–10:00 CET) for early volatility expansion.
Confirms the session state:
WAIT – no confirmation yet
CONFIRMED RANGE – conditions point to a balanced/choppy day
CONFIRMED TREND – volatility expansion and acceptance outside OR indicates a trending day
15m FVG overlays
Plots 15m FVG zones (bullish/bearish) as clean extending boxes.
Optional filters:
Show FVGs only when CONFIRMED TREND (to avoid taking FVGs in chop).
Hide FVGs inside the EQ zone (mid-range) to reduce low-quality setups.
Why it’s useful
Range days are where most stop streaks happen when trading FVG + 1m confirmation. This indicator helps you:
Identify when the market is likely to be balanced/choppy
Wait for trend confirmation before taking aggressive FVG plays
Focus only on high-probability FVG locations aligned with session conditions
Best use
Use the indicator on FDAX (EUREX) with 15m / 5m context and execute on 1m.
Prioritize FVGs during CONFIRMED TREND and be selective (or reduce size) during WAIT / CONFIRMED RANGE.
If you want, I can also write a shorter “TradingView public script style” description (2–3 lines + bullet features), or a more marketing/premium description for your community.
StO Price Action - Panel US Economy DataShort Summary
- Displays selected us economic data as a time series graph
- Economic indicator name shown in the upper-right corner
- Designed as a lightweight fundamental context overlay
Full Description
Overview
- Plots economic macro data as a continuous graph
- Combines visual trend context with clear textual identification
Supported Economic Data
- CPI – Consumer Price Index
- CIR – Core Inflation Rate (YoY)
- IRYY – Inflation Rate (YoY)
- IJC – Initial Jobless Claims
- JC4W – Jobless Claims (4-Week Average)
- NFP – Nonfarm Payrolls
- UR – Unemployment Rate
Graph Behavior
- Selected economic series is rendered as a line graph
- Graph color is user-configurable
Label Display
- Full descriptive name of the selected indicator
- Fixed position in the upper-right corner
Usage
- Helps identify macro trends alongside price action
- Useful for bias alignment on higher timeframes
- Works well with Trend-following Systems or higher-timeframe structure analysis
Notes
- Economic data is informational and non-predictive
- Not a signal or timing tool
- Best used as contextual background not standalone input
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume)
AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments.
It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders.
Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC.
🔹 Core Features
Session-Anchored Value Area
Value Area is built only during the selected session
Resets cleanly at session start
Levels develop during the session and can be extended forward
No repainting or shifting due to lookback changes
TPO or Volume Mode
TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data
Volume mode – uses broker volume if preferred
Same logic, different weighting method
Fixed Price Bin Size
Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100)
Produces cleaner, more realistic VAH/VAL levels
Avoids distorted profiles caused by dynamic bin scaling
VAH / VAL / POC Levels
VAH (Value Area High)
VAL (Value Area Low)
POC (Point of Control) (optional)
Lines can be extended to act as forward reference levels
🔹 Trading Signals & Alerts
Value Re-Entry
Identifies false breakouts where price:
Trades outside value
Then closes back inside
Often seen before strong mean-reversion or continuation moves.
Acceptance
Detects initiative activity using:
Multiple consecutive closes outside value
Filters out weak single-candle breaks
Rejection
Flags strong rejection candles:
Large candle body
Wick outside value
Close back inside the value area
These conditions are especially effective on Gold intraday.
🔹 Optional Profile Histogram
Right-side volume/TPO histogram
Buy/sell imbalance visualization
Fully optional to reduce chart clutter and improve performance
🔹 Best Use Cases
Recommended markets
XAUUSD (Gold)
NAS100 / US100
Other index or metal CFDs
Recommended timeframes
5m, 15m, 30m
Suggested settings
Mode: TPO
Value Area: 70%
Bin size:
Gold: 0.10
NAS100: 0.25 or 0.50
🔹 How Traders Use It
Trade rejections at VAH / VAL
Look for acceptance to confirm trend days
Use re-entries to fade failed breakouts
Combine with trend filters, EMA structure, or session context
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
