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
Fundamental Analysis
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.
..................................................................................................................
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.
━━━━━━━━━━━━━━━━━━━━━━━━
🔍 WHAT IT DOES
━━━━━━━━━━━━━━━━━━━━━━━━
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")
━━━━━━━━━━━━━━━━━━━━━━━━
🚦 SIGNAL GUIDE
━━━━━━━━━━━━━━━━━━━━━━━━
🔴 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
━━━━━━━━━━━━━━━━━━━━━━━━
📈 HOW TO USE
━━━━━━━━━━━━━━━━━━━━━━━━
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)
━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ FAMOUS EXAMPLES
━━━━━━━━━━━━━━━━━━━━━━━━
• 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.
━━━━━━━━━━━━━━━━━━━━━━━━
🔗 FULL VERSION
━━━━━━━━━━━━━━━━━━━━━━━━
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
━━━━━━━━━━━━━━━━━━━━━━━━
📚 THE LOGIC
━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━
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
•
Premium Calculation: The core of the indicator is the formula: Coinbase BTC Price - Binance BTC Price.
•
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.
•
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.
•
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
•
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.
•
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.
•
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.
Thick Wick OverlayI have a hard time seeing the wick and made a simple overlay indicator to create a "thicker wick". You can change the thickness and wick color to your desired color and thickness.
HazMeed Session Highs/Lows)Marks out Asia Session Highs and Lows
Marks out London Session Highs and Lows
Marks out NYAM Session Highs and Lows
Ichimoku Multi-BG System by Pranojit Dey (Exact Alignment)It shows trend of different levels with the help of Ichimoku, VWAP, SMA and Pivot. Use it as a strong confluence for any entry. Lets trade guys...
Performance Table: Standard DCA | Last 6-12-24-48MThis indicator visualizes Standard Dollar-Cost Averaging (DCA) performance across multiple time horizons (6M, 12M, 24M, 48M).
It summarizes invested capital, current portfolio value, net profit, and return percentage in a compact table, allowing quick comparison of short- and long-term DCA outcomes.
Designed for long-term investors, it helps evaluate how consistent periodic investments perform over time without relying on market timing.
The indicator is asset-agnostic and works on any symbol supported by TradingView.
Key use cases:
Long-term portfolio tracking
DCA strategy validation
Performance comparison across periods
Educational and analytical purposes
This tool focuses on clarity and realism, avoiding over-optimization and short-term noise.
--
I hope this table helps investors better understand long-term DCA performance.
Feedback and suggestions for improvement are always welcome.
EMA 6/50 Cross + ADX 20 + AlertsThis indicator is designd to filter noise off the EMA cross with the ADX greater than 20 condition.
BTC 4H v5.5 Breakout - Retest (Perp) + Anti-Chop + Riskmy sdfgsdgsdg
fgsdgsdgs
FGsdgsdfgsdgs
fgsdgdsfgsdgsdgsdg
sfdgsdgf dfgsgsgsdgs. sdgsfsgsdg
ICT First FVG Per Session - Big Boss TradersICT First FVG Per Session like per session FVG Asia FVG london First P FVG and New york first P FVG






















