EdgeXplorer - Phantom FlowPhantom Flow by EdgeXplorer
Phantom Flow is a high-precision, visual market structure toolkit inspired by core ICT (Inner Circle Trader) concepts — including Order Blocks (OBs), Fair Value Gaps (FVGs), Market Structure Shifts (MSS), Liquidity Zones, Killzones, and Balance Price Ranges (BPRs). Designed for real-time clarity and SMC-aligned trading, this tool enhances raw ICT theory with practical execution features: extended zone logic, session filters, and pivot-sensitive rendering.
Whether you’re swing trading on HTF or scalping intraday moves in New York or London, Phantom Flow gives you a clean, structured lens through which to interpret price behavior — without clutter or noise.
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🔍 What Does Phantom Flow Do?
This indicator maps out multiple price action phenomena in one system. It detects and plots:
• Order Blocks (OBs) — potential institutional footprints
• Fair Value Gaps (FVGs) — inefficiencies or imbalance zones
• Market Structure Shifts (MSS) — directional break points
• Liquidity Zones — buy-side and sell-side wick traps
• Balance Price Ranges (BPRs) — overlap zones from opposing FVGs
• Killzones (Sessions) — session-specific high-probability windows
Each element is toggleable, color-coded, and drawn directly on the chart, creating an intuitive visual environment to identify potential setups or confirm directional bias.
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⚙️ How It Works – Technical Breakdown
1. Pivot Engine
Phantom Flow uses ta.pivothigh() and ta.pivotlow() with a configurable lookback period to establish reactive swing points for structure and liquidity logic.
2. Market Structure Shifts (MSS)
MSS logic checks for breaks above prior highs or below prior lows:
• If price closes above a previous pivot high, it flags a bullish MSS.
• If price closes below a previous pivot low, it flags a bearish MSS.
Each MSS is marked with a line and label at the structure break.
3. Order Blocks (OBs)
When a swing high or low is confirmed:
• A bearish OB is plotted between the open and high of the pivot bar.
• A bullish OB is plotted between the low and open of the pivot bar.
OB zones are drawn as transparent boxes that project forward several candles.
4. Fair Value Gaps (FVGs)
Imbalance zones are defined when:
• A bullish FVG occurs if the current low is above the high from two candles ago, and price closed bullish.
• A bearish FVG occurs if the current high is below the low from two candles ago, and price closed bearish.
These are visualized as boxes with “FVG” labels.
5. Balance Price Ranges (BPRs)
If both a bullish and bearish FVG overlap in the same bar:
• A gray BPR box is plotted to represent the zone where those inefficiencies cancel or compress into a range.
Useful for tracking potential accumulation or consolidation.
6. Liquidity Zones (Wick Detection)
Using ATR-based wick thresholds:
• Buy-side Liquidity is identified where long lower wicks form beneath pivot lows.
• Sell-side Liquidity is identified where long upper wicks form above pivot highs.
These zones indicate where stop hunts or liquidity grabs may occur.
7. Killzones (Sessions)
Two sessions are visualized using background colors:
• New York Killzone (default: 7:00–9:00 EST) — yellow background
• London Killzone (default: 2:00–5:00 GMT) — blue background
Sessions are dynamically aligned with your chart’s timeframe and location.
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📈 What Each Visual Element Represents
Element Meaning
Green OB Box Bullish order block (potential demand zone)
Red OB Box Bearish order block (potential supply zone)
Teal FVG Box Bullish fair value gap (imbalance to the upside)
Maroon FVG Box Bearish fair value gap (imbalance to the downside)
Gray BPR Box Balance price range — compression of opposing gaps
Blue Liquidity Zone Buy-side liquidity below a swing low
Orange Liquidity Zone Sell-side liquidity above a swing high
Lime Line + Label Bullish Market Structure Shift (MSS ↑)
Fuchsia Line + Label Bearish Market Structure Shift (MSS ↓)
Yellow / Blue Background Killzone time blocks for NY or London
All shapes are bounded in time and logic — there are no arbitrary plots.
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📊 Inputs & Settings Explained
Input Description
Execution Mode (Live / Backtest) Determines whether to run real-time or backtest-friendly calculations
Pivot Sensitivity (lookback) Controls how far back to look for pivots — higher values = stronger swing filters
Show MSS Toggle to display Market Structure Shift lines and labels
Show OB Toggle to display Order Block zones from swing points
Show FVG Toggle to visualize Fair Value Gaps as they appear
Show Liquidity Zones Displays wick-based buy/sell-side liquidity traps
Show BPR Zones Highlights overlapping bullish and bearish FVGs as compression zones
Show Killzones Enables session-based background highlighting for NY/London
Color Settings
Customize each visual element with transparency-controlled colors for OBs, FVGs, MSS lines, liquidity zones, and killzones.
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🧠 How Traders Can Use Phantom Flow
Phantom Flow is not a signal generator. It’s a market narrative visualizer. Here’s how to integrate it into your approach:
• OB + FVG = Confluence: Look for fair value gaps forming around order blocks. These often suggest institutional entry zones.
• MSS + Liquidity = Trap Setup: Market structure shifts occurring after price taps liquidity often signal reversals or fakeouts.
• BPRs = Choke Points: If opposing FVGs compress, expect consolidation or expansion shortly after.
• Killzones = Context Windows: Use sessions to filter signal quality. For example, only trade FVGs during the London/NY overlap.
This tool works best when layered with:
• BOS/CHOCH detection
• Premium/Discount logic
• Risk-based execution models
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🧪 Optional Use Case Ideas
• Intraday scalping based on NY/London killzone + MSS
• Swing trading off HTF OB + LQ zones
• Fade or trend-continuation setups using FVGs + BPR
• Combine with displacement candles or volume to validate zones
Fundamental Analysis
Price Ranged FVG📌 Price Ranged FVG
Is a clean and efficient tool designed to detect Fair Value Gaps (FVGs) with adjustable filters and structural context. It’s especially useful for traders looking to filter out insignificant gaps and focus on high-probability areas, particularly around swing breaks or structural shifts.
🧠 What is a Fair Value Gap (FVG)?
A Fair Value Gap appears when there’s a price imbalance between candles — typically after a strong move — where the market skips over certain price levels without trading there. These zones can act as potential areas for price to return to (mean reversion), or serve as support/resistance depending on market structure.
🔍 FVG Detection Types
You can choose between three different detection modes under the "FVG Detection" input:
Same Type: Only detects FVGs where the last 3 candles are in the same direction (all bullish or all bearish).
All: Detects any FVG, regardless of candle direction.
Twin Close: Detects FVGs only when the last two candles are in the same direction and close accordingly — offering a stricter confirmation.
🎯 FVG % Filters
To filter out noise or insignificant gaps, this indicator includes:
Minimum FVG % Filter: Ignores FVGs smaller than your specified percentage of the current close.
Maximum FVG % Filter: Ignores overly large gaps that may be unreliable or caused by anomalies.
These filters help focus on relevant FVGs that are more likely to act as reaction zones.
🏛 Structural Context (Swing Highs and Lows)
The indicator plots swing highs and swing lows with dots to provide structure-based context:
Set Swing Strength to 3 for detecting internal structure (shorter-term moves).
Use a higher setting like 5 to focus on external structure (more significant highs/lows).
These levels can help you determine whether an FVG is forming within a consolidation, breakout, or key structural transition.
✅ Use Case (My Personal Workflow)
I personally use this indicator to:
Filter out weak or irrelevant FVGs using the % filters.
Watch for price interaction at swing breaks — especially when an FVG aligns with a break in internal or external structure.
Refine entry and exit planning in confluence with other tools or strategies.
⚠️ Disclaimer
This indicator is not financial advice. It is a technical analysis tool intended to support your own decision-making process. Always do your own research and risk management.
Asset Premium/Discount Monitor📊 Overview
The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities.
🎯 Use Cases
Perfect for analyzing:
NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin
NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin
NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector
Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector
Any two correlated assets where relative value matters
Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile.
🔧 How It Works
Core Calculation
Ratio Analysis: Calculates the price ratio between your asset and the correlated asset
Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this.
Premium Measurement: Measures current deviation from historical average as a percentage
Statistical Context: Provides percentile rankings and standard deviation bands
The Math
Premium % = (Current Ratio / Historical Average Ratio - 1) × 100
🎨 Customization Options
Correlated Asset: Choose any symbol for comparison
Lookback Period: Adjust historical baseline (50-1000 days)
Smoothing: Reduce noise with moving average (1-50 days)
Visual Toggles: Show/hide bands and percentile lines
Color Themes: Customize premium/discount colors
📊 Interpretation Guide
Premium/Discount Reading
Positive %: Asset trading above historical relationship (premium)
Negative %: Asset trading below historical relationship (discount)
Near 0%: Asset at fair value relative to correlation
Percentile Ranking
90%+: Near recent highs - potential selling opportunity
10% and below: Near recent lows - potential buying opportunity
25-75%: Normal trading range
Signal Classifications
🔴 SELL PREMIUM: Asset expensive relative to recent range
🟡 Premium Rich: Moderately expensive, monitor for reversal
⚪ NEUTRAL: Fair value territory
🟡 Discount Opportunity: Moderately cheap, potential accumulation zone
🟢 BUY DISCOUNT: Asset cheap relative to recent range
🚨 Built-in Alerts
Extreme Premium Alert: Triggers when percentile > 95%
Extreme Discount Alert: Triggers when percentile < 5%
⚠️ Important Notes
Works best with highly correlated assets
Historical relationships can change - monitor correlation strength
Not investment advice - use as one factor in your analysis
Backtest thoroughly before implementing any strategy
🔄 Updates & Future Features
This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Dex Stoch RSI + WaveTrend Dots [Enhanced]Wave indicator with RSI and dots signaling. dots signals when its over bought or over sold but it also follows the rsi trend when bullish or bearish momentum is coming.
Market to NAV Premium Arbitrage Alpha IndicatorMARKET TO NAV PREMIUM ARBITRAGE ALPHA INDICATOR
A quantitative tool for identifying statistical mispricings between market capitalization and net asset value (NAV), designed specifically for arbitrage strategies and alpha generation in Bitcoin-holding companies like MicroStrategy (MSTR), companies or SPACS used mostly to hold crypto, Bitcoin ETFs, and other NAV-based instruments. Can probably be also used in certain spin-offs.
📊 KEY FEATURES:
✅ Real-time Premium/Discount Calculation
• Automatically retrieves market cap data from TradingView
• Calculates precise NAV based on underlying asset holdings
• Formula: (Market Cap - NAV) / NAV × 100
✅ Statistical Analysis Framework
• Historical percentile rankings (customizable lookback period)
• Standard deviation bands (2σ) for extreme value detection
• Smoothing options to reduce noise
✅ Multi-Source Market Cap Detection
• Priority system: TradingView data → Calculated → Manual override
• Automatic fallback mechanisms for data reliability
✅ Advanced NAV Modeling
• Basic NAV: Asset holdings + cash
• Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field
• Support for any underlying asset (BTC, ETH, etc.)
📈 TRADING APPLICATIONS:
🎯 Pairs Trading Signals
• Long/Short opportunities when premium reaches statistical extremes
• Mean reversion strategies based on historical ranges
• Risk-adjusted position sizing using percentile ranks
🎯 Arbitrage Detection
• Identifies when market pricing significantly deviates from fair value
• Quantifies the magnitude of mispricing for profit potential
• Historical context for timing entry/exit points
🔧 CONFIGURATION OPTIONS:
• Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEED MANUAL INPUT
• Asset Quantity: Precise holdings amount. NEED MANUAL INPUT
• Cash Holdings: Additional liquid assets. NEED MANUAL INPUT
• Market Cap Mode: Auto-detect, calculated, or manual
• Advanced Adjustments: Business value, debt, preferred shares
• Display Settings: Lookback period, smoothing, custom colors
🎯 PERFECT FOR:
• Quantitative traders focused on statistical arbitrage
• Institutional investors monitoring NAV-based instruments
• Bitcoin ETF and MSTR traders seeking alpha generation
• Risk managers tracking premium/discount exposures
• Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
🔗 CONNECT & SUPPORT:
Follow for updates and additional quantitative trading tools. Feedback and suggestions welcome!
EdgeXplorer // Swing SequenceEdgeXplorer - Swing Sequence
Swing Sequence is an advanced structural mapping indicator designed to detect and visualize internal swing formations, sequence logic, and multi-leg transitions directly on the chart. This tool is particularly useful for traders applying Smart Money Concepts (SMC), Wyckoff theory, or Elliott-style structure recognition, where the accuracy of pivot timing, internal leg evaluation, and pattern tracking is mission-critical.
Instead of drawing arbitrary zig-zags, this indicator uses real market structure to extract and label potential bullish or bearish reversal sequences, including optional point 5 confirmations and internal double-top/double-bottom logic — all in real time.
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🔍 What Does Swing Sequence Do?
Swing Sequence dynamically identifies structured pivot points and evaluates swing sequences composed of up to 6 labeled legs (A, B, 1, 2, 3, 4) and an optional 5th confirmation point. Once a valid bullish or bearish pattern is recognized based on defined structural rules, it plots:
• Pivot labels (A through 5)
• Swing zones or boxes outlining the full formation
• Optional pathlines to visualize swing flow
• Dotted projection lines for context
It also uses internal logic to detect double-point confirmations, creating a highly structured, rule-based method for visualizing potential reversals or continuations.
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⚙️ How It Works – Technical Breakdown
1. Pivot Detection
The script calculates two sets of pivots:
• External Swings using Swing Pivot Length (len)
• Internal Swings using Internal Pivot Length (ilen)
Both use high/low extremities to determine directional bias (BULL or BEAR).
2. Sequence Evaluation
Once enough pivots are collected (at least six), the algorithm attempts to construct valid sequences:
• Bullish: A → B → 1 → 2 → 3 → 4 (+ optional 5)
• Bearish: A → B → 1 → 2 → 3 → 4 (+ optional 5)
Each candidate is evaluated using logical price containment, directional flow, and a unique “point 4 beyond point 2” condition (optional).
3. Double Point Logic
If enabled, the indicator looks for a second internal pivot that aligns in price proximity with point 4 (adjustable via Strict Double-Top/Bottom and ATR-based Threshold), allowing traders to require confirmation before considering a sequence valid.
4. Sequence Validation
Sequences are only plotted if:
• All structural rules are met
• There’s no overlap with a previously plotted sequence
• Optional filters (like show/hide point 5) are satisfied
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📈 What You See on the Chart
Visual Purpose
Labels A–5 Marks each structural point in the sequence. Label 5 is optional.
Colored Box Encapsulates the swing structure:
• Green Box → Bullish sequence
• Red Box → Bearish sequence
Dotted Lines Horizontal projection from each swing point to end of sequence
Polyline (Path) (Optional) Connects all swing points to show flow
Auto-Coloring Box and line colors change based on bullish or bearish pattern, unless overridden
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📊 Inputs & Settings Explained
Detection Settings
Input Description
Swing Pivot Length (len) Controls the lookback for external high/low pivots. Larger values = broader swings
Internal Pivot Length (ilen) Controls lookback for internal swing structure — used for validation and double-point logic
4 Beyond 2 Forces point 4 to go beyond point 2 for sequence to be valid
Show Point 5 Toggles whether point 5 is included in plotted sequences
Strict Double-Top/Bottom Enables stricter proximity matching between internal pivots (uses absolute levels vs. price containment)
Threshold Sets sensitivity of double-point matching, scaled by ATR(200) for dynamic precision
Display Settings
Input Description
Path Plots a polyline that connects all labeled points in a sequence
Boxes Toggles the shaded swing box zone
Line Color Default color for path and projection lines when auto-coloring is disabled
Auto-Color Automatically changes box and label colors based on trend direction
Show Lines Toggles horizontal dotted projection lines from each swing point
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🧠 How to Read & Use Swing Sequence
Swing Sequence is a visual structural analyzer, not a signal tool. Here’s how to interpret what you see:
Bullish Sequence Example
A (high)
↓
B (low)
↓
1 → 2 → 3 → 4 (lower highs/lows)
↓
5 (double bottom)
Interpretation: Price is forming a potential reversal base. Confirmation at point 5 adds confluence for long setups.
Bearish Sequence Example
A (low)
↑
B (high)
↑
1 → 2 → 3 → 4 (higher highs/lows)
↑
5 (double top)
Interpretation: Market may be topping out. Point 5 adds structural symmetry and possible short confluence.
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🧪 Use Cases & Strategy Integration
• 🔍 Smart Money Traders: Use the sequences to identify where price is structurally exhausting liquidity or forming distribution/accumulation
• 🔄 Reversal Traders: Use point 5 or sequence completion as part of your entry filter
• 🎯 Structure-Based Confirmation: Use Swing Sequence to validate bias after FVG, OB, or BOS breaks
• 📏 Target Zones: Swing boxes can define range-based targets, stop zones, or breaker levels
FutureObitz Official Bank Levels// © 2025 FutureObitz - Custom version for private use
This Bank Levels indicator automatically calculates daily high, low, mid, and premium/discount zones using dynamic ranges.
Ideal for intraday traders using supply/demand, liquidity concepts, and institutional levels. Labels are cleanly aligned and update once per day for minimal chart clutter.
This version was customized for my personal trading style and refined for visual clarity.
Revenue, Income, Profit, Debt & Cash Flow (FQ)Revenue, Net Income, Gross Profit, Net Debt & Free Cash Flow (FQ)
show basic financial number
Shavarie Gordon’s Phantom Trigger The Phantom Trigger is a precision-engineered confluence indicator developed by Shavarie Gordon — the result of 7 years of trading experience distilled into one clean, powerful tool.
This system filters out noise and focuses only on high-quality trades, combining three powerful elements:
🔹 Momentum Bend Detection – custom logic to detect shifts in directional strength
🔹 Delta Volume Pressure – smoothed order flow showing who’s in control (buyers vs sellers)
🔹 RSI Bend Confirmation – micro-level reversal insight from RSI (length 1 by default)
When all three align, the Phantom Trigger activates:
📈 Line bends up → high-probability buy
📉 Line bends down → high-probability sell
Key Features:
Built for confluence-based traders who want sniper accuracy
Filters out random or weak setups — no low-quality trades
Perfect for scalping, swing, or smart intraday positioning
Lightweight, non-repainting, and easy to read
👑 Final Note:
This tool isn’t for guessing — it’s for traders who wait, confirm, and strike.
Every signal reflects the precision and patience of a 7-year trading journey.
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice. Use at your own discretion and always apply risk management.
🟢 RSI + MACD Bullish Divergence Scannerrsi/macd bullish divergence enter off green bubble. size accordingly.
Custom Time LinesMarks out London and Asia Session open times and close times to help when trading New York Session
BTC/ETH RatioThis indicator allows us to calculate altcoin and bitcoin season from the btc divided by eth ratio. The golden ratio is 37!
Greer Value Yields Line📈 Greer Value Yields Line – Valuation Signal Without the Clutter
Part of the Greer Financial Toolkit, this streamlined indicator tracks four valuation-based yield metrics and presents them clearly via the Data Window, GVY Score badge, and an optional Yield Table:
Earnings Yield (EPS ÷ Price)
FCF Yield (Free Cash Flow ÷ Price)
Revenue Yield (Revenue per Share ÷ Price)
Book Value Yield (Book Value per Share ÷ Price)
✅ Each yield is compared against its historical average
✅ A point is scored for each metric above average (0–4 total)
✅ Color-coded GVY Score badge highlights valuation strength
✅ Yield trend-lines Totals (TVAVG & TVPCT) help assess direction
✅ Clean layout: no chart clutter – just actionable insights
🧮 GVY Score Color Coding (0–4):
⬜ 0 = None (White)
⬜ 1 = Weak (Gray)
🟦 2 = Neutral (Aqua)
🟩 3 = Strong (Green)
🟨 4 = Gold Exceptional (All metrics above average)
Total Value Average Line Color Coding:
🟥 Red – Average trending down
🟩 Green – Average trending up
Ideal for long-term investors focused on fundamental valuation, not short-term noise.
Enable the table and badge for a compact yield dashboard — or keep it minimal with just the Data Window and trend-lines.
Greer Book Value Yield📘 Script Title
Greer Book Value Yield – Valuation Insight Based on Balance Sheet Strength
🧾 Description
Greer Book Value Yield is a valuation-focused indicator in the Greer Financial Toolkit, designed to evaluate how much net asset value (book value) a company provides per share relative to its current market price. This script calculates the Book Value Per Share Yield (BV%) using the formula:
Book Value Yield (%) = Book Value Per Share ÷ Stock Price × 100
This yield helps investors assess whether a stock is trading at a discount or premium to its underlying assets. It dynamically highlights when the yield is:
🟢 Above its historical average (potentially undervalued)
🔴 Below its historical average (potentially overvalued)
🔍 Use Case
Analyze valuation through asset-based metrics
Identify buy opportunities when book value yield is historically high
Combine with other scripts in the Greer Financial Toolkit:
📘 Greer Value – Tracks year-over-year growth consistency across six key metrics
📊 Greer Value Yields Dashboard – Visualizes multiple valuation-based yields
🟢 Greer BuyZone – Highlights long-term technical buy zones
🛠️ Inputs & Data
Uses Book Value Per Share (BVPS) from TradingView’s financial database (Fiscal Year)
Calculates and compares against a static average yield to assess historical valuation
Clean visual feedback via dynamic coloring and overlays
⚠️ Disclaimer
This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Greer EPS Yield📘 Script Title
Greer EPS Yield – Valuation Insight Based on Earnings Productivity
🧾 Description
Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula:
EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100
This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is:
🟢 Above its historical average (potentially undervalued)
🔴 Below its historical average (potentially overvalued)
🔍 Use Case
Quickly assess valuation attractiveness based on earnings yield.
Identify potential buy opportunities when EPS% is above its long-term average.
Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy:
📘 Greer Value – Tracks year-over-year growth consistency across six key metrics
📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics
🟢 Greer BuyZone – Highlights long-term technical buy zones
🛠️ Inputs & Data
Uses fiscal year EPS data from TradingView’s built-in financial database.
Tracks a static average EPS Yield to compare current valuation to historical norms.
Clean, intuitive visual with automatic color coding.
⚠️ Disclaimer
This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW.
Key points about trading value:
Market Activity and Liquidity: A high trading value indicates an active and liquid market.
Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock.
Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable.
Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment.
In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
Quarterly Revenue & Growthinspired by TrendSpider. Monitoring a company's earning revenue quarter by quarter.
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite
Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion.
Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points.
Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean.
🎯 Key Features
✅ Dynamic Swing Low Anchoring
Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period.
Provides context for trend progression and overextension relative to structural lows.
✅ Standard Deviation Bands
Plots up to +5σ deviation bands to visualize levels of overextension.
Extended bands (+3σ to +5σ) can be toggled for simplicity.
✅ Conditional Zone Fills
Colored background fills show when price is inside each valuation zone.
Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory.
✅ Divergence Detection
VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates.
Low Volume Retest: Highlights weak re-tests of VWAP on low volume.
Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ.
✅ Volume Fallback
If volume is unavailable, uses high-low range as a proxy.
✅ Highly Customizable
Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences.
🛠️ How to Use
Identify Buy and Sell Zones
Price in the fair value band (±1σ) suggests equilibrium.
Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits.
+4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups.
Monitor Divergence Signals
Use slope divergence and deviation failures to look for confluence with overextension.
Low volume retests can flag rallies lacking conviction.
Adapt Swing Lookback
30–50 bars: Faster re-anchoring for swing trading.
75–100 bars: More stable anchors for longer-term trends.
🧭 Best Practices
Combine the anchored VWAP with higher timeframe structure.
Confirm signals with other tools (momentum, volume profiles, or trend filters).
Use extended deviation zones as context, not as standalone signals.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
RISK## Main Purpose
The indicator calculates and displays risk levels based on margin requirements and daily settlement prices, helping traders visualize their potential risk exposure.
## Key Features
**Inputs:**
- **Margin for Calculation**: The CME long margin requirement for the asset
- **HTF Margin Line**: An anchor point for higher timeframe margin calculations
**Core Calculations:**
1. **Settlement Price Tracking**: Captures daily settlement prices during specific session times (6:58-6:59 PM ET for close, 6:00-6:01 PM ET for new day open)
2. **Risk Percentage**: Calculates `margin / (point value × settlement price)` - with special handling for Micro contracts (symbols starting with "M") that uses 10× point value
3. **Risk Intervals**: Determines price intervals representing one margin unit of risk
## Visual Display
The indicator plots multiple risk levels on the chart:
- **Settlement price** (orange circles)
- **Globex open** (green circles)
- **Upper/Lower Risk levels** (red circles) - one and two risk intervals away
- **Subdivision levels** (blue crosses) - 25%, 50%, and 75% of each risk interval
- **MHP+ level** (black crosses) - HTF anchor adjusted by risk percentage
- **HTF Anchor** (black crosses)
## Practical Use
This helps futures traders:
- Visualize how far price can move before hitting margin calls
- See risk levels relative to daily settlements
- Plan position sizing and risk management
- Understand exposure in terms of actual margin requirements
The indicator essentially transforms abstract margin numbers into concrete price levels on the chart, making risk management more visual and intuitive.
Shavarie's Sniper LineShavarie’s Sniper Line is a precision confirmation tool built for high-quality entries — not noisy signals.
It activates only when all 3 conditions agree:
🔁 Momentum bend detection
💧 Money Flow Index (MFI) pressure
🔺 Delta volume strength (emulated from price/volume flow)
When all conditions align, the Sniper Line shifts to:
+1 for potential buy zone
-1 for potential sell zone
0 when neutral — no action
Best used in combination with supply/demand zones, Heikin Ashi, or larger trend structures. Built for traders who value patience, precision, and massive R:R setups.
Intermarket Analisis V.1What is Intermarket Analysis?
Intermarket analysis looks at how various asset classes influence each other. The key idea is that markets are interconnected, and movements in one can signal or predict movements in another. For example:
Stocks and Bonds: Rising bond yields (e.g., US 10-year Treasury) often pressure stock prices downward.
Commodities and Forex: A rising US Dollar (USD) typically weakens gold (XAU/USD) prices due to their inverse relationship.
Forex and Equities: Strong economic data boosting equities might strengthen the USD.
This method helps you confirm trends, anticipate reversals, or avoid false signals in your EMA 10/20 crossover strategy.
Key Intermarket Relationships
USD Index (DXY) and Gold (XAU/USD):
Correlation: Inverse. When DXY rises (stronger USD), gold often falls, and vice versa.
Indicator: Track DXY on a separate chart. Use a 50-period SMA or RSI to spot overbought/oversold conditions in USD strength.
Application: If your EMA 10/20 gives a buy signal on gold but DXY is overbought (RSI > 70), it might be a false signal—wait for DXY to cool off.
US 10-Year Treasury Yields and Equities (e.g., S&P 500):
Correlation: Inverse. Higher yields increase borrowing costs, pressuring stocks.
Indicator: Use a 200-day EMA on yields (e.g., ^TNX) and compare with S&P 500’s 50-day EMA.
Application: If yields are trending up (above 200 EMA) while your EMA 10/20 signals a stock buy, consider it risky—cross-check with macro data.
Crude Oil (WTI/Brent) and Gold:
Correlation: Positive. Both are inflation hedges, so they often move together during economic uncertainty.
Indicator: Apply a MACD (12, 26, 9) on oil prices to confirm trend direction.
Application: If oil’s MACD shows a bullish crossover and your gold buy signal aligns, it strengthens the case for a trend.
Bond Yields and USD:
Correlation: Positive. Rising yields support a stronger USD.
Indicator: Use a Stochastic Oscillator (14, 3, 3) on DXY to spot momentum shifts.
Application: If Stochastic is overbought on DXY and yields are high, a gold sell signal from EMA 10/20 might be more reliable.
How to Apply Intermarket Analysis to Your EMA 10/20 Strategy
Your current strategy uses EMA 10/20 crossovers for entry/exit, with SL at swing low/high and no TP until an opposite crossover. Here’s how to integrate intermarket analysis:
Confirmation: Before acting on a buy signal (EMA 10 > EMA 20), check if DXY is weakening (e.g., below 50 SMA) or oil is rising (MACD bullish). This supports a gold uptrend.
Divergence Warning: If your EMA 10/20 buy signal occurs but DXY is trending up (strong USD) or yields are spiking, it might indicate a false breakout—hold off.
Macro Context: On July 02, 2025, 08:30 PM WIB, watch for upcoming US Jobless Claims (3-4 July). A weak report could boost gold and weaken USD, aligning with your buy signal.
Opening Range Breakout🧭 Overview
The Open Range Breakout (ORB) indicator is designed to capture and display the initial price range of the trading day (typically the first 15 minutes), and help traders identify breakout opportunities beyond this range. This is a popular strategy among intraday and momentum traders.
🔧 Features
📊 ORB High/Low Lines
Plots horizontal lines for the session’s high and low
🟩 Breakout Zones
Background highlights when price breaks above or below the range
🏷️ Breakout Labels
Text labels marking breakout events
🧭 Session Control
Customizable session input (default: 09:15–09:30 IST)
📍 ORB Line Labels
Text labels anchored to the ORB high and low lines (aligned right)
🔔 Alerts
Configurable alerts for breakout events
⚙️ Adjustable Settings
Show/hide background, labels, session window, etc.
⏱️ Session Logic
• The ORB range is calculated during a defined session window (default: 09:15–09:30).
• During this window, the highest high and lowest low are recorded as ORB High and ORB Low.
📈 Breakout Detection
• Breakout Above: Triggered when price crosses above the ORB High.
• Breakout Below: Triggered when price crosses below the ORB Low.
• Each breakout can trigger:
• A background highlight (green/red)
• A text label (“Breakout ↑” / “Breakout ↓”)
• An optional alert
🔔 Alerts
Two built-in alert conditions:
1. Breakout Above ORB High
• Message: "🔼 Price broke above ORB High: {{close}}"
2. Breakout Below ORB Low
• Message: "🔽 Price broke below ORB Low: {{close}}"
You can create alerts in TradingView by selecting these from the Add Alert window.
📌 Best Use Cases
• Intraday momentum trading
• Breakout and scalping strategies
• First 15-minute range traders (NSE, BSE markets)
