Digital Credit Market ValueDigital Credit Frontier
Script for tracking total notional value and total market value for the Digital Credit Market. Needs be manually updated. You can open it twice to get the total value in one pane and the oscillator in the other pane.
ניתוח פונדמנטאלי
GVI – Guendogan Valuation IndexGlobalization-adjusted valuation indicator modeling rising international revenue exposure since 1990. Includes a long-term fair-value framework.
Stock Valuation & Analysis (Zeiierman)█ Overview
Stock Valuation & Analysis (Zeiierman) is a hybrid fundamental–technical framework that delivers a complete company valuation system directly inside TradingView. Instead of manually digging through years of financial statements, the system automates the full valuation process, allowing traders and investors to understand a stock’s true value, fair price, and risk-adjusted opportunity at a glance.
The script projects intrinsic value zones directly onto the price chart, then layers trend structure, signals, and exhaustion regimes around them to create a unified decision-making environment.
At its core, the system builds a quantitative valuation backbone using several coordinated models:
an adaptive DCF engine that updates fair value based on changing fundamentals
sector-aligned valuation models that compare earnings, sales, enterprise value, and book metrics
smart handling for unusual balance-sheet structures such as cash-heavy or early-stage companies
stabilized value floors based on liquidity and cash-per-share dynamics
an automated financial processor that organizes multi-year statements into a consistent valuation framework
On top of this valuation, the script overlays:
visual valuation zones (Premium, Fair, Discounted, Undervalued)
a rolling ZVWAP line showing where trading activity is anchored
a multi-mode adaptive trend engine
a non-linear signal generator
an overbought and oversold regime detector
an analyst-consensus summary panel
Note: This tool is designed specifically for stocks on the daily timeframe. If used on unsupported markets or timeframes, it will display a clear warning.
⚪ Why This One Is Unique
Most valuation tools stop at static multiples or a single DCF pass. This script instead uses a more intelligent, multi-layered valuation architecture that adapts to the underlying asset and market context.
It:
Uses multiple forms of discounted cash flow analysis and automatically selects the most suitable valuation approach for the stock. When traditional DCF is not optimal, the system applies alternative but comparable valuation methods. This adaptive behavior is the basis for the “Intelligent” designation.
Uses valuation multiples as the basis for fair value assessments.
Projects valuation into dynamic chart zones that expand or contract relative to your chosen margin of safety, producing premium, fair, discounted, and deeply undervalued bands that evolve as conditions change.
Adds a Rolling ZVWAP that adjusts to shifting volume distributions and recent price drift, helping to identify where aggregate positioning and cost basis may be clustering.
Includes an adaptive trend core capable of self-tuning across a range of sensitivities, selecting the configuration that historically performed most reliably, and using that as a live trend intelligence layer.
Wraps everything in a regime-aware OB/OS engine and a unified alert router, enabling valuation, positioning, trend, and signal events to flow through one consolidated alert stream for simpler automation.
█ Main Features
⚪ 1. Dual Valuation Engine With Intelligent Chart Projection
The indicator evaluates a company’s fair value using two coordinated valuation models, then projects the result directly onto the price chart as adaptive valuation zones.
Intelligent DCF Valuation Engine
Builds a forward-looking free-cash-flow profile using earnings power, cash generation, capital intensity, working-capital behavior, and tax structure. It then projects these flows, applies terminal adjustments, and converts the result into an equity fair value.
Adaptive Multiples-Based Valuation
Tracks the most commonly used valuation metrics. Each metric provides its own fair-value projection, and the engine identifies the one most consistent with the company’s fundamental profile — delivering the best match to intrinsic value.
Margin of Safety Control
A dedicated slider widens or tightens valuation outcomes based on your preferred risk profile, enabling more conservative or aggressive interpretations with a single adjustment.
Dynamic Valuation Zones (Premium → Undervalued)
Once the valuation is finalized, the script constructs four intelligent price regions:
Premium, Fair Value, Discounted, and Undervalued. These zones scale with your Margin of Safety and are drawn as translucent, forward-projected price bands. The result is a clear, evolving valuation map that updates with each new bar and visually anchors price within its current fundamental context.
⚪ 2. ZVWAP — Zeiierman Volume-Weighted Anchor Price
This enhanced VWAP model distinguishes between institutional-style flows and retail-style activity, offering a deeper look into capital positioning. It adapts continuously, revealing where dominant buying or selling pressure may be anchored. Depending on your setting, it can emphasize institutional-style flows or a blend of retail and institutional movement. This line helps you quickly see whether the price is trading above or below the dominant executed volume over the recent window.
⚪ 3. Trend and Price-Movement Intelligence
A multi-mode trend engine ensures flexibility and robustness across different trading styles:
Intelligent Trend: Runs a series of internal trend models, gauges their historical stability and responsiveness, and automatically promotes the best-performing configuration as the trend line.
Percentage Trend: Flips trend when price moves a fixed percentage from a reference, ideal for swing-style regime detection.
MA Trend: A classic moving-average trend line that switches bias on crossovers.
⚪ 4. Signal Framework (Buy / Sell / Trend Signals)
A dedicated signal engine analyzes price extremes and internal oscillations to produce actionable signals. Frequency settings (Frequent, Quick, Fast, Moderate, Long-Term) determine how selective the engine becomes. Signals can operate independently or in alignment with the active trend filter.
⚪ 5. Overbought / Oversold Regime Zones
A volatility-aware OB/OS engine transforms price movement into a smooth internal oscillator. It highlights extended regimes using semi-transparent zones labeled “Overbought” or “Oversold,” expanding and contracting with volatility. Zones automatically clear once conditions normalize, avoiding stale signals.
⚪ 6. Analyst Ratings & Price Target Panel
A structured table displays external analyst expectations, including:
Highest and lowest price targets
Average or consensus rating (Buy, Sell, Weak Buy, Weak Sell, Neutral)
Color-graded rating and target fields for immediate clarity
This adds an external benchmark to complement the internal valuation system.
█ How to Use
⚪ Intrinsic Value Estimation
Quickly determine whether a stock is undervalued or overvalued based on DCF and Multiple models.
Valuation Models
Intelligent DCF: Best for fundamentally driven companies where earnings quality, cash flow, and balance sheet strength matter.
Multiple Valuation: Ideal for faster, relative pricing using sector-aware multiples.
Risk-Adjusted Investing: Apply the Margin of Safety to find entries that match your preferred risk level.
Valuation Zones
Premium: Price is above intrinsic value. Common area to lock in gains, tighten stops, or avoid new longs.
Fair Value: Neutral territory. Suitable for monitoring or gradual accumulation.
Discounted: Below fair value. Potential opportunity zone when trend and technical conditions begin to improve.
Undervalued: Deep discount. High-interest area when valuation, trend improvement, oversold conditions, and signals start aligning.
⚪ Professional-Level Price Analysis
Use ZVWAP and trend tools to time entries with institutional buying pressure by visualizing where the majority of recent trading volume is anchored.
Price above ZVWAP + bullish trend → strong institutional support, trend continuation setups.
Price below ZVWAP + bearish trend → strong institutional selling pressure, trend continuation.
Price crossings relative to ZVWAP often act as:
pullback completion points.
early signs of shifting value zones.
⚪ Timing Your Entries
1. Choose a Trend Mode
Intelligent Trend: Runs several trend configurations, evaluates their past stability, and selects the most reliable one as the active trend.
Percentage Trend: Flips trend only when price moves by a defined percentage.
MA Trend: Classic moving average for straightforward trend mapping.
2. Use Signals in Sync With the Trend
Set Trend Signals to ensure entries match the active trend:
In an uptrend → Long signals highlight continuation setups.
In a downtrend → Short signals highlight continuation setups.
Adjust frequency based on style:
Frequent / Quick for active traders
Moderate / Longterm for swing and position traders
⚪ Overbought / Oversold Zones
Overbought zones identify where upside movement is stretched, often aligning with Premium or upper Fair Value regions. These areas can signal trend maturity, potential pullbacks, or moments where taking partial profits becomes prudent.
Oversold zones highlight areas where downside momentum is becoming exhausted, especially when price is already trading within Discounted or Undervalued valuation regions. These zones can mark early stages of a potential reversal or simply the lower boundary of a strong trend where buyers might step back in.
Because both conditions can appear during strong trends, investors should monitor price behavior closely:
In strong uptrends, overbought zones can indicate trend strength rather than immediate reversal. Traders may choose to ride the trend while managing risk.
In downtrends, oversold zones can serve as continuation points or emerging reversal signals depending on how the price reacts.
Both zones can be used as entry or exit timing aids, especially when combined with valuation zones, ZVWAP behavior, and trend direction.
⚪ A nalyst Comparison
Use the built-in analyst ratings and target prices to validate or challenge your valuation. When your intrinsic estimate aligns with analyst consensus, conviction strengthens; when it diverges, it highlights potential opportunities or risks worth investigating.
█ How It Works
⚪ Intelligent Valuation
Uses multiple forms of discounted cash flow analysis and automatically selects the most appropriate valuation approach for each stock. When a traditional DCF is not the best fit, the system switches to alternative but comparable valuation models. This adaptive process is what defines it as an “Intelligent” system.
⚪ Multiples Framework
When using multiple-based valuation, the engine evaluates a set of evolving market multiples and aligns them with sector expectations. Historical ranges, peer context, and balance-sheet components help anchor each metric, allowing identical ratios to be interpreted differently across industries. The system then chooses the estimate that best reflects the company and how the market has recently valued similar conditions.
⚪ ZVWAP
The Rolling ZVWAP line acts as a dynamic, volume-weighted anchor that reacts to shifts in participation intensity. It highlights where capital is clustering, whether flows lean toward institutional or retail, and how price behaves around these anchor points. This produces a clearer view of positioning pressure and trend strength than traditional VWAP lines.
⚪ Adaptive Trend Framework
The trend system provides three complementary modes:
Percentage Mode reacts to meaningful percentage-based displacements,
MA Mode tracks equilibrium through a moving-average backbone, and
Intelligent Trend evaluates multiple internal configurations, promotes the historically most stable one, and uses it as the active trend reference. This multi-engine design ensures that trend direction reflects the most reliable behavior for the current market environment.
⚪ Signal Engine
The signal layer continuously interprets price structure, curvature, and momentum to identify high-quality long and short opportunities. Signals can run independently or be filtered through the active trend for cleaner, regime-aligned entries. Frequency modes allow you to tune selectivity from rapid responses to high-conviction, slower-moving signals.
⚪ Overbought / Oversold Regime Zones
The OB/OS engine identifies volatility-adjusted exhaustion zones that highlight where price is stretched or depleted. These regions can mark early reversal points, continuation areas in strong trends, or places where investors monitor price closely to decide whether to hold, trim, or add exposure. They integrate naturally with valuation, trend, ZVWAP, and signals to refine timing and risk management.
⚪ Analyst Sentiment
The Analyst Ratings layer collects analyst recommendations and target prices, normalizes them into a weighted sentiment index, and displays the result as a color-graded panel. This gives you an immediate sense of how professional research is positioning itself relative to the system’s intrinsic valuation baseline.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Stock Fundamentals (Zeiierman)█ Overview
Stock Fundamentals (Zeiierman) is designed for investors who want a clear, visual, and efficient way to understand a company’s overall fundamental profile directly on the chart. Instead of digging through dozens of ratios or scanning multiple websites, the tool combines fundamental data, price behavior, and analyst expectations into a single intuitive visual system that can be understood at a glance.
A multi-axis “fundamental spider chart” presents the company across six core dimensions: value, quality, financial health, future prospects, dividend strength, performance, and volatility behavior. Each axis represents a structural aspect of company quality, allowing you to see strengths, weaknesses, and imbalances in one immediate view.
Alongside the spider chart, a compact PE and Return panel shows where current valuation and analyst expectations sit within their historical ranges, giving context for whether the stock is cheap, expensive, stretched, or positioned for growth.
The goal is simple: make fundamental analysis accessible, fast, and insightful for every investor, from beginner to advanced. Stock Fundamentals (Zeiierman) transforms dense data into a structured visual profile suited for stocks on the daily timeframe, allowing you to interpret company quality as easily as you read price action.
Important: This script is designed for STOCK symbols on the DAILY timeframe. On anything else, it will show an explicit warning instead of a spider chart.
⚪ Why This One Is Unique
Most fundamental overlays rely on static ratios or simple tables, but this script takes a far more comprehensive approach. It builds a multi-dimensional scoring system across Value, Health, Future, Dividend, Performance, and Volatility, then maps these dimensions into a geometric spider chart with clearly labeled axes so you can interpret company quality visually rather than through scattered numbers.
An Overall Score from 0 to 10 is computed by aggregating these dimensions and is displayed using a smooth gradient from your selected color palette. Performance scoring is based on yearly return statistics such as returns, volatility, Sharpe ratio, max drawdown, and alpha versus a benchmark, giving the score a foundation in real multi-year behavior rather than short-term noise.
Dividend quality is evaluated through yield, growth, payout behavior, free-cash-flow coverage, leverage, and the company’s EPS trend, creating a deeper view of dividend strength than raw yield alone. Future expectations are incorporated through a forward-looking model that compares projected earnings and revenue paths to the current price using a nonlinear scoring method.
A dedicated PE Sentiment and Return Estimate panel places the stock’s PE, current price, and analyst targets along a graded strip, helping you see valuation and expected upside or downside in a meaningful context.
█ Main Features
⚪ 1. Company Overview Score
Stock Fundamentals (Zeiierman) evaluates a company across six core dimensions: Value, Health, Future, Dividend, Performance, and Volatility. Each dimension is scored individually and combined into a single Overall Score (0–10) displayed beside the spider chart. The score cell uses a smooth gradient to reflect weak-to-strong company quality at a glance.
⚪ 2. Fundamental spider chart Visualization
The individual scores are mapped into a six-axis polygon, known as the fundamental spider chart. Each arm of the spider chart represents one of the core dimensions:
Dividend – quality, growth, coverage, and stability
Performance – multi-year risk-adjusted returns
Volatility – long-term price stability
Value – earnings yield, ROIC, and valuation appeal
Health – solvency, balance-sheet strength, and overall safety
Future – forward growth potential relative to current price
The axes extend from weak at the center to strong at the outer boundary, creating a color-filled shape that makes strengths, weaknesses, and imbalances instantly visible. The spider chart and the overall score work together to provide a fast, intuitive snapshot of company fundamentals.
⚪ 3. PE Sentiment Bar
A horizontal PE Sentiment bar shows where the company’s current P/E sits within its historical low-to-high range. The bar is color-graded to indicate whether the valuation leans cheap or expensive, with a marker precisely showing today’s position.
⚪ 4. Return Estimate Bar
The Return Estimate bar compares the current price against analyst expectations:
lowest target
highest target
average target
current price marker
A percentage estimate displays potential upside or downside to the average target. The bar is visually graded using the same palette for fast interpretation.
█ How to Use
⚪ Quick Stock Screening
Investors can rapidly assess company quality before deep research, saving significant time.
⚪ Comparing Opportunities
Easily compare two or more companies using their overall scores and key sentiment visuals.
⚪ Portfolio Reassessment
Use the Stock Fundamentals to monitor existing holdings and identify potential risks or strong performers.
⚪ Sentiment-Based Entries
Combine PE Sentiment and Return Estimate data to evaluate whether a stock is currently undervalued or overextended.
█ How It Works
⚪ Fundamental Dimensions and Scoring
Stock Fundamentals (Zeiierman) evaluates a company across six primary dimensions: Value, Health, Future, Dividend, Performance, and Volatility. Each dimension is assessed through its underlying behaviors rather than a single ratio, producing a more balanced and realistic view of company strength.
Value reflects how attractive the company is relative to its earnings power and capital efficiency.
Health measures balance-sheet strength, operational resilience, and the company’s ability to withstand financial stress.
Future estimates the growth potential implied by projected business expansion versus current pricing.
Dividend evaluates reliability, sustainability, and the stability of historical payouts.
Performance summarizes long-term return quality and risk-adjusted behavior.
Volatility indicates the consistency of price behavior, highlighting stability versus choppiness.
Each category is converted into a normalized score and combined into an overall weighted score (0–10), providing a fast yet reliable snapshot of company quality.
⚪ Value Engine
The Value dimension reflects both the company’s earnings attractiveness and how effectively it uses capital. Instead of relying on a single valuation ratio, the engine blends multiple valuation signals with an estimate of capital efficiency, producing a stable value intensity score. This approach rewards companies that combine strong earnings power with efficient capital use, while preventing extreme outliers from dominating.
⚪ Health Engine
The Health dimension evaluates how structurally sound the business is. It draws from indicators that capture financial resilience, balance-sheet strength, stability, and operational robustness. For financial institutions or bank-like profiles, the system shifts toward metrics that emphasize asset efficiency and solvency buffers. The result is a single robustness score that adapts to the company’s business model.
⚪ Performance Engine
Performance is based on long-term behavior rather than short-term swings. The system evaluates multi-year return characteristics, consistency, risk-adjusted efficiency, and resilience during adverse market periods. Each of these behaviors is transformed into a smooth score, then combined into a single Performance dimension that reflects “quality of returns,” not just raw gains.
⚪ Dividend Engine
The Dividend dimension assesses both reward and reliability. It considers payout behavior over several years, historical stability, growth tendencies, coverage strength, and overall sustainability. It also evaluates whether the company’s financial structure supports long-term dividends rather than simply rewarding high yield. All of these factors combine into a dividend score that balances attractiveness with durability.
⚪ Future Growth Engine
The Future dimension estimates how well the company’s projected business expansion aligns with current price levels. It builds a simplified projection of growth potential and assesses whether that trajectory reasonably supports the stock’s valuation. The closer the company appears to “growing into” its price, the higher the future score. This dimension effectively acts as a growth runway estimator.
⚪ Volatility Node
The Volatility dimension reflects how stable or turbulent the stock has been over a broad timeframe. Its purpose is descriptive rather than judgmental: a high volatility score indicates choppy behavior, while a lower score suggests consistency. Although this measurement is displayed as part of the spider chart, it is intentionally excluded from the Overall Score to avoid penalizing growth-oriented or cyclical companies unfairly.
⚪ PE Sentiment
The company’s current P/E ratio is placed within its historical low-to-high range. The panel uses a smooth gradient from “cheap” to “expensive,” with a clear marker showing exactly where today’s valuation sits relative to past conditions.
⚪ Return Estimate
Analyst expectations are displayed on a similar range-based strip. Markers show the lowest, highest, and average analyst targets, alongside a marker for the current price. A projected percentage return is calculated relative to consensus expectations, offering a simple visual cue for whether analysts see meaningful upside or downside.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Stock Management (Zeiierman)█ Overview
Stock Management (Zeiierman) gives investors a complete, real-time view of their portfolio directly inside TradingView. It tracks performance, allocation, volatility, and dividends in one unified interface, making it easy to understand both how your portfolio is performing and how it behaves in terms of risk and exposure.
Rather than analyzing each chart in isolation, Stock Management (Zeiierman) turns TradingView into a lightweight portfolio cockpit. You can define up to 20 stock positions (ticker, shares, average cost), and the tool will:
Normalize all positions into a single user-selected currency
Calculate live position value, PnL, PnL%, and daily movement
Compute total portfolio value, performance, and volatility
Optionally generate a risk-parity style Recommended Allocation
Display upcoming dividend amounts, ex-dates, and pay-dates for your holdings
All of this appears as clean on-chart tables, including a main portfolio table, an optional dividend table, and an optional summary panel, allowing you to manage your portfolio while still watching price action. It is a visual portfolio layer built entirely around your own inputs, integrated seamlessly into the TradingView environment.
⚪ Why This One Is Unique
Most investors rely on basic broker dashboards that show position values but provide little insight into risk, exposure, or how each holding interacts with the rest of the portfolio. Stock Management (Zeiierman) goes far beyond that by building an intelligent, unified portfolio layer directly inside TradingView.
It automatically normalizes global holdings into a single reporting currency using live FX data, stabilizes allocation with a volatility-aware weighting engine, and structures your information through an adaptive column framework that highlights performance and risk in real time. A weighted summary blends portfolio movement, volatility, and long-horizon behavior into a clean snapshot, while dividend schedules and projected payouts are fully integrated into the same interface.
█ Main Features
⚪ 1. Portfolio Tracker
The core of Stock Management (Zeiierman) is a dynamic, real-time portfolio table that brings all key position data into one intelligent view. Each holding is displayed with:
Ticker
Sector
Price
Average Paid Price
Shares
Position Value
Position Weight
Profit & Loss
Profit & Loss %
Today % Change
Recommended Allocation
The table updates continuously with market prices, giving investors an immediate understanding of performance, exposure, and risk across all positions.
⚪ 2. Dividend Information
Dividend data for your holdings is automatically fetched, organized, and presented alongside your positions. This includes dividend amount, ex-date, and pay-date, along with projected payouts based on your share count. All dividend-related information is integrated directly into the portfolio view, so you can plan cash flow without switching tools.
⚪ 3. Portfolio Summary
A dedicated summary panel consolidates the entire portfolio into a single snapshot: total value, total PnL, YTD %, today’s change, and overall volatility. The volatility reading is particularly valuable, providing a quick gauge of your portfolio’s risk level and how sensitive it may be to market movement.
⚪ 4. Portfolio Weight Recommendation
An intelligent weighting engine reviews your current allocations and highlights where your portfolio is overexposed or underweighted. It offers recommended allocation levels designed to reduce concentration risk and improve balance, giving you a clearer path toward a more stable long-term positioning.
█ How to Use
⚪ Performance Tracking
Quickly assess your entire portfolio’s profit, loss, daily movement, and volatility from one centralized dashboard. The summary panel gives you an instant read on how your holdings are performing and how sensitive they are to market swings.
⚪ Dividend Management
Monitor upcoming dividend amounts, ex-dates, and pay-dates directly inside your portfolio table. This ensures you never miss a payout opportunity and can plan your expected cash flow with complete clarity.
⚪ Risk Management & Optimization
Use portfolio-wide volatility and the intelligent Recommended Allocation engine to identify imbalances in your holdings. These insights help you adjust position sizes, reduce concentration risk, and maintain a more stable long-term portfolio profile.
⚪ Currency Comparison
Switch between different base currencies to evaluate performance in local or international terms. All positions are automatically normalized using live FX data, making global portfolio management effortless.
█ How It Works
Stock Management (Zeiierman) continuously gathers price, currency, dividend, and volatility data for every ticker you track. All values are automatically converted into your selected reporting currency, so global holdings remain comparable in one unified view.
It builds a live portfolio snapshot of each bar, updating position values, PnL, daily returns, YTD performance, and overall volatility. This gives you an always-current understanding of how your portfolio is performing and how each holding contributes to risk and exposure.
An intelligent, volatility-aware allocation model generates recommended portfolio weights and position sizes, helping you identify where you may be overexposed or underweighted. Dividend information is integrated directly into the table, projecting future payouts and highlighting upcoming ex-dates and pay-dates.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
##Liquidity weighted Supertrend with MA Ribbon by AngelVery useful 2 indicators in 1. 2 liquidity weighted supertrends; all customizable settings to your likings and a 4 ma ribbon. MA 1 and 2 gives you buy/sell signal on the crossover and added a background trend color change for easy visual of price trend! enjoy!
Ultimate Algo ProUltimate Algo Pro एक multi-layered market analysis system है जो price behavior, volatility structure और trend dynamics को combine करके साफ़ तथा actionable trading signals प्रदान करता है।
इसका उद्देश्य market conditions को simplify करके traders को स्पष्ट दिशा और disciplined decision-making में मदद देना है।
Core Features
Market strength और directional shifts को identify करने वाला dynamic signal engine
Momentum shifts पर आधारित automatic long/short indications
Price structure के अनुसार adaptive zones और reaction levels
Volatility को ध्यान में रखकर बनाया गया risk framework, जिसमें automated levels शामिल हैं
Trend environment समझने के लिए optimized visual component
Compact dashboard जो system status को एक नज़र में दिखाता है
Use Case
यह system short-term से लेकर medium-term trading तक किसी भी style में इस्तेमाल किया जा सकता है।
Script का उद्देश्य
✔ clearer signals
✔ reduced noise
✔ structured trade planning
provide करना है ताकि trader को market flow बेहतर समझ आए।
BTC Macro Heatmap (Fed Cuts & Hikes)🔴 1. Red line – Fed Funds Rate (policy trend)
This line tells you what stage of the monetary cycle we’re in.
Rising red line = the Fed is hiking → liquidity is tightening → money leaves risk assets like BTC.
Flat = pause → markets start pricing in the next move (often sideways BTC).
Falling = easing / cutting → liquidity returns → bullish environment builds.
The rate of change matters more than the level. When the slope turns down, capital starts seeking yield again — BTC benefits first because it’s the most volatile asset.
💚 2. Dim green zones – detected cuts
These are data-based easing events pulled directly from FRED.
They show when the actual effective rate began moving down, not necessarily the exact meeting day.
Think of them as the Fed’s “foot off the brake” — that’s when risk markets begin responding.
🟩 3. Bright green lines – official FOMC cuts
These are the real policy shifts — the Fed formally changed direction.
After these appear, BTC historically transitions from accumulation → markup phase.
Look at 2020: the bright green lines came right before BTC’s full reversal.
You’re seeing the same thing now with the 2025 lines — early-stage liquidity return.
🟠 4. Orange line – DXY (US Dollar Index)
DXY is your “risk-off” gauge.
When DXY rises, global investors flock to dollars → BTC usually weakens.
When DXY peaks and starts dropping, it means risk appetite is coming back → BTC rallies.
BTC and DXY are inversely correlated about 70–80% of the time.
Watch for DXY lower highs after rate cuts — that’s your macro confirmation of a BTC-friendly environment.
🟦 5. Aqua line – BTC (normalized)
You’re not looking for the price itself here, but its shape relative to DXY and the Fed line.
When BTC curls up as the red line flattens and DXY rolls over → that’s historically the start of a major bull phase.
BTC tends to bottom before the first cut and explode once DXY decisively breaks down.
🧠 Putting it together
Here’s the rhythm this chart shows over and over:
Fed hikes (red line rising) → BTC weakens, DXY climbs.
Fed pauses (red line flat) → BTC stops falling, DXY tops.
Fed cuts (dim + bright green) → DXY turns down → BTC begins long recovery → bull cycle starts.
EPS & Sales - MarketSmith/MarketSurge StyleThe EPS & Sales indicator is designed for traders and investors who rely on earnings power and revenue growth as key components of their decision-making process. Inspired by the style and structure of MarketSmith and MarketSurge, this script brings a complete fundamental snapshot directly onto your chart, allowing you to analyze quarterly performance without leaving the TradingView platform. Instead of switching between data sources or relying on disconnected tools, this indicator consolidates multiple layers of information—EPS, sales, estimates, growth rates, surprises, gross margin, ROE, and more—into one integrated visual framework.
At the core of the script is its ability to detect each earnings report by observing changes in TradingView’s earnings data. Once an earnings event is identified, the indicator captures the new EPS and sales values, fetches historical data, and organizes it into a structured quarterly timeline. In doing so, it reconstructs up to eight quarters of earnings and revenue progression, letting you follow a company’s financial trajectory at a glance. The script distinguishes between actual EPS and standardized EPS, intelligently compensating for missing data by back-filling where appropriate. This blended approach results in a data representation closer to the conventions used by IBD/MarketSmith.
One of the signature components of the indicator is its Weekly Earnings Table. This panel displays EPS values, EPS growth both year-over-year and quarter-over-quarter, EPS surprises relative to analysts’ estimates, and revenue figures scaled dynamically into millions or billions. It also includes sales growth rates, sales surprises, and optional rows for gross margin and return on equity. The table is color-formatted using alternating bands for improved readability, and users may choose between a classic bordered table and a more modern “HeadBand” style. Thematic presets allow the display to mimic either the MarketSmith legacy look or the newer MarketSurge aesthetic.
For daily charts, the indicator provides a streamlined HeadBand Table focused on the most recent four quarters. This condensed version shows EPS versus the same quarter a year ago, EPS percentage change, sales and sales growth, and optional ROE or gross margin. It also highlights the next scheduled earnings date, making this tool particularly useful for traders managing risk around upcoming reports.
In addition to the tables, the script can annotate the price chart itself. At each earnings bar, it may draw an arrow or numeric label indicating the EPS percentage change, with the option to include sales percentage change as well. These annotations adopt intuitive color coding, using green for positive numbers and red for negative ones, and they follow the same ±999% cap used by MarketSmith to manage extreme values. Users looking for a cleaner chart can disable the arrow graphics entirely and show only the percentage digits.
The script also includes a series of safeguards to handle the messy realities of earnings data. It mitigates issues caused by irregular reporting schedules, addresses TradingView data gaps, corrects duplicated values, and handles negative EPS figures with an optional “#” prefix indicating calculations based on negative-to-positive transitions. Users may choose to remove this prefix or force the indicator to always display percentage changes even when the company is unprofitable.
Overall, the EPS & Sales indicator is not a trading system but a research and visualization tool. It is built for traders who follow growth-oriented strategies—especially those influenced by CANSLIM or Mark Minervini’s SEPA approach—and who want to see fundamental acceleration alongside price movement. By embedding quarterly financial performance directly into the chart, the script enables faster, more informed analysis and brings the essential components of fundamental evaluation into the heart of technical workflow.
100+ BTC Tracker + 182-Day Dormant (6-Month HODL)Instantly see what the biggest Bitcoin whales are doing — and exactly how much of the supply has been completely untouched for 6 full months or longer (182+ days), the strictest and most respected definition of true HODLing.
What this indicator shows you in real time:
Number of wallets holding ≥100 BTC (~15,800 whales)
Total Bitcoin controlled by these whales (~3.25 million BTC)
6-Month Dormant Supply — Bitcoin that hasn’t moved in 182+ days (~14.1 million BTC)
6-Month Dormant % — What percentage of circulating supply is truly locked away
Why 182 days matters:
The 6-month threshold (≈182 days) is the industry-standard cutoff used by Glassnode, CryptoQuant, and analysts worldwide to define ultra-long-term holders. These are the coins least likely to ever hit exchanges — the ultimate measure of conviction and scarcity.
Key features:Live or fallback? — Instantly know if you’re seeing real-time on-chain data (green) or verified backup values (yellow)
Works on free accounts — No paid data subscription required (though it becomes even more accurate with Glassnode/CryptoQuant add-ons)
Clean, non-intrusive design — Three bold plots + sleek dark table in the top-right corner
Always up to date — Fallback values manually verified as of November 21, 2025
Perfect for:
Spotting whale accumulation/distribution phases
Tracking real Bitcoin scarcity during bull or bear markets
Confirming long-term holder conviction before big moves
Add it to any BTC chart and instantly understand who really controls Bitcoin — and how much of it is locked away forever by the strongest hands in crypto.
GT3_Trades Sessions Highs & LowsThis indicator automatically identifies and displays the session highs and lows for the three major global market sessions: Asia, London, and New York. It is designed for intraday traders who rely on session-based structure, liquidity levels, and volatility windows. The script dynamically tracks and plots the highest and lowest price reached during each session and extends these levels forward on the chart for strong visual clarity.
Key Features
Session-Based Highs & Lows
Calculates and updates the high and low for each session (Asia, London, New York) in real time as price develops within the session window.
Fully Customizable Display Options
Traders can individually toggle the visibility of each session’s high and low levels.
Line colors, styles (Solid, Dashed, Dotted), and thickness are also user-configurable.
Accurate Timezone Handling
Session times are defined using user-selected timezone settings (default UTC+3), ensuring session boundaries match the trader’s desired market timing.
Automatic Daily Reset
At the start of each new trading day, the indicator clears the previous levels and begins tracking fresh highs and lows for the new day.
Dynamic Line Drawing
Each level is plotted using real Pine Script line objects, which update automatically as new highs or lows form. Once created, each line extends forward to the right—providing clear, persistent references for potential liquidity zones, breakouts, and reversions.
Efficient Tracking Logic
The script keeps track of the bar index where each high/low occurs and updates the line endpoints in real time. Historical levels are not reused, ensuring clean, uncluttered visuals.
How It Helps Traders
Identifies liquidity pools and sweep areas based on session extremes.
Highlights intraday structure shifts when price breaks or respects session highs/lows.
Provides a clear overview of volatility cycles across the global trading day.
Helps detect potential reversal or continuation setups when interacting with session boundaries.
Ideal For
Intraday and scalping strategies
ICT-based session analysis
Liquidity, sweep, and FVG traders
Forex, indices, crypto, and commodities
PIPSTA - Sniper - ICT Advancedpipsta sniper is a multi-asset ict-inspired indicator designed for intraday traders who follow liquidity concepts, london sweeps, and new york kill zone execution. it works across nq/es futures, gold/xauusd, and forex pairs using adaptive logic and dynamic thresholds so the behaviour fits each market naturally. the focus is simple: track liquidity, identify sweeps, wait for the kill zone window, and trigger clean automated setups.
the indicator monitors asian, london, and pre-market sessions using new york time. it records each session’s high and low, updates them in real time, and draws them on the chart. these levels reset at the start of every trading day. london highs and lows are especially important: when price breaks past a london level by a defined threshold specific to the asset, the indicator marks it as a sweep. once a sweep occurs, the level label updates, colours change, and the info panel reflects the sweep status. this gives traders clear structure for liquidity bias.
the new york kill zone (9:35–9:55 am et) is highlighted on the chart. this is the only zone where trade signals are allowed. the indicator waits for price to show either a spike-fade reversal after a sweep or a momentum breakout after a sweep. spike-fade signals appear when price forms a short-term extreme and reverses at the close of the bar, while breakout signals appear when price breaks a recent 10-bar range with direction aligned to liquidity taken earlier in the morning. both require a prior london sweep to avoid random entries.
when a signal is triggered, the tool automatically sets up entry, stop, and target levels. the entry happens at the bar close. the target and stop distances adjust based on which asset you selected (futures, gold, forex). the script draws the entry line, take-profit line, stop line, and also places a marker showing buy or sell direction. a trade table appears on the bottom right of the chart showing the signal type, entry price, stop distance, target distance, and real-time risk-to-reward ratio. if alerts are enabled, the trader will receive notifications for entry, stop hit, target hit, and automatic exit at 10:00 am et.
the built-in info panel provides live trading context:
• asset type currently selected
• session status (asian, london, pre-market, ny open, kill zone, etc)
• london sweep status (high swept, low swept, or both)
• current new york time displayed in am/pm format
• active sweep threshold and target parameters
• next expected market event such as asian open, london open, pre-market, ny open, kill zone start, session exit, or rth close
this gives traders a structured, real-time look at the market environment so they always know where they are within the trading day.
recommended usage:
• ensure the correct asset type is selected
• wait for london sweeps to occur (high, low, or both)
• watch for setups only inside the kill zone between 9:35 and 9:55 am et
• use the provided entry, stop, and target levels or refine according to your own risk rules
• always close trades by 10:00 am et since the morning algorithmic behaviour tapers off
• keep position sizing reasonable and follow your own risk management
important notes:
• the script does not place trades for you; it only signals
• it is tuned for intraday behaviour in the new york morning session
• performance outside the kill zone is intentionally limited
• sweep detection uses simplified logic for reliability and speed
• signals work best when combined with your own higher-timeframe bias or personal confirmation
this indicator is ideal for traders who follow ict concepts, smart money models, liquidity sweeps, kill zone execution, and structured session trading. it provides clean visuals, automated signals, and a complete on-screen trade model, making it easy to follow institutional trading behaviour without overcomplicating the chart.
Best strategy for scalpingThis is a next-generation Machine Learning–powered trading strategy designed for high-accuracy intraday and swing trading. It combines adaptive trend filters, probability-weighted entries, and dynamic SL/TP logic to deliver consistent, noise-free signals.
No repainting.
Customizable risk settings.
Built for serious traders who want stable performance with low drawdown.
Invite-only access only.
Scalper Pro Pattern Recognition & Price Action📘 Scalper Pro Pattern Recognition & Price Action
Overview
Scalper Pro is a dynamic multi-layer trend recognition and price action strategy that integrates Supertrend, Smart Money Concepts (SMC), and volatility-based risk control.
It adapts to market volatility in real time to enhance entry precision and optimize risk.
⚠️ This script is for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
Detect structural market shifts (BOS / CHoCH) automatically.
Identify Order Blocks (OB), Fair Value Gaps (FVG), and key liquidity zones.
Plot dynamic Take-Profit (TP) and Stop-Loss (SL) levels based on ATR.
Avoid low-volatility (sideways) conditions using ADX filtering.
Combine trend-following signals with structural confirmation.
✨ Key Features
Supertrend Entry Signals — Generates precise buy/sell markers based on price crossovers with the Supertrend line.
Order Block Detection — Automatically plots both Internal and Swing Order Blocks for smart money insights.
Fair Value Gap Visualization — Highlights inefficiency zones in bullish or bearish structures.
Market Structure Labels — Marks Break of Structure (BOS) and Change of Character (CHoCH) points for clear trend shifts.
Dynamic Risk Levels — Automatically generates TP/SL lines and price labels using ATR-based distance.
📊 Trading Rules
Long Entry:
• Price crosses above the Supertrend (ta.crossover(close, supertrend))
• ADX above sideways threshold (trend condition confirmed)
• Optional confirmation from a bullish BOS or CHoCH
Short Entry:
• Price crosses below the Supertrend (ta.crossunder(close, supertrend))
• ADX above threshold
• Optional confirmation from a bearish BOS or CHoCH
Exit (or Reverse):
• Opposite Supertrend crossover
• Price hits TP/SL lines
• Trend shift confirmed by internal BOS/CHoCH
💰 Risk Management Parameters
Stop Loss & Take Profit based on ATR × risk multiplier
ATR Length: 14 (default)
Risk %: 3% per trade
Sideways Filter: ADX < 15 → no trade zone
TP1–TP3 = Entry ± (ATR × 1~3)
⚙️ Indicator Settings
Supertrend Module:
ATR Length: 10
Factor: nsensitivity × 7
ADX Module:
ADX Length: 15
Sideways Threshold: 15
EMA Set:
EMA (5, 9, 13, 34, 50) × Volatility Factor (3)
SMA Filter:
SMA(8) & SMA(9) for short-term trend confirmation
Smart Money Concepts Module:
Displays BOS/CHoCH, Order Blocks, FVGs, Equal Highs/Lows, and Premium/Discount zones
🔧 Improvements & Uniqueness
Integrates Supertrend momentum with Smart Money Concepts (SMC) structural analysis.
Dual detection layers: Internal (micro) and Swing (macro) structures.
ATR-driven auto labeling for entry, stop, and profit targets.
Premium/Discount and Equilibrium zones visualized on the chart.
Built-in ADX filter to skip low-trend market conditions.
✅ Summary
Scalper Pro Pattern Recognition & Price Action merges classical trend-following with modern market structure analytics.
It combines momentum detection, volatility control, and smart money mapping into one cohesive framework.
Unified trend, structure, and risk visualization.
Auto-marked BOS/CHoCH, OB, FVG, and liquidity zones.
Usable for scalping, intraday, or swing trading setups.
⚠️ This strategy is based on historical data and designed for educational use only.
Always apply sound risk management and forward testing before live trading.
Enhanced ML-FRAMA with HTFCore Concept
FRAMA (Fractal Adaptive Moving Average) is an adaptive moving average that automatically adjusts its sensitivity based on market volatility using fractal geometry. This indicator enhances it with Machine Learning predictions and multi-timeframe analysis.
Key Components:
1. ML-Enhanced FRAMA
ML Enhancement: Uses machine learning to adjust FRAMA's sensitivity
Dynamic Adaptation: ML predictions modify the smoothing constant based on market conditions
2. Machine Learning System
Three ML Models Combined:
K-Nearest Neighbors (KNN): Finds similar historical patterns
Trend Model: Uses EMA crossovers for trend detection
Momentum Model: Combines RSI, ROC, and volume for momentum
Features Used:
RSI, MACD, ATR, Rate of Change
Volume ratio and momentum
VWAP deviation
Higher timeframe RSI
Daily EMA trend
3. Higher Timeframe Integration
HTF1: 1-hour timeframe
HTF2: 4-hour timeframe
Confluence Trading: Requires agreement across multiple timeframes
4. Visual Features
Support/Resistance Circles: Dynamic levels based on ATR volatility
Color Coding:
Green: Bullish signals
Red: Bearish signals
Purple/Orange: HTF indicators
Trend Detection: Colors change based on direction
Requirements for Bullish Signal:
Price crosses above ML-FRAMA
ML prediction > 60% bullish
High confidence (>30%)
Volume 20% above average
Both HTF timeframes bullish
Performance Tracking:
Adaptive Weights: Automatically adjusts model weights based on recent accuracy
Dynamic K: Adjusts KNN neighbors based on market volatility
Outlier Detection: Filters unusual bars from training data
Trading Philosophy:
Multi-Timeframe Confirmation
Avoids false signals by requiring HTF agreement
Reduces noise by focusing on higher probability setups
Volume Confirmation
Requires above-average volume for valid signals
Volume momentum adds conviction
Machine Learning Edge
Learns from historical patterns
Adapts to changing market conditions
Combines multiple analysis techniques
Use Cases:
Trend Following: ML-FRAMA as dynamic support/resistance
Breakout Trading: Price crosses with volume and HTF confirmation
Mean Reversion: Support/resistance circles as reversal zones
Swing Trading: HTF confluence for higher probability setups
Strengths:
Adaptive: Adjusts to market volatility
Multi-timeframe: Reduces false signals
Volume-confirmed: Adds conviction
ML-enhanced: Learns from market behavior
Visual: Clear support/resistance levels
Ideal For:
Swing traders looking for high-probability entries
Trend followers wanting adaptive moving averages
Technical analysts who value multi-timeframe confirmation
Traders who want machine learning without complexity
The indicator essentially creates a "smart" adaptive moving average that learns from the market and only provides signals when multiple timeframes and technical factors align.
YieldCurve SuiteYieldCurve Suite – Spot & Forward Yield Curve Visualizer
YieldCurve Suite is a comprehensive tool for visualizing and comparing two yield curves across multiple countries and dates. It provides a clear, data-driven view of interest-rate structures for macro, fixed-income, and cross-asset analysis.
Key Features
Displays Spot Curves and 1Y Forward Curves
Optional US Future Curve integration
Compare two regions or two different dates (current or historical)
Automatic calculation of:
Forward yields via cubic spline interpolation
2Y–10Y slopes for Spot and Forward curves
Use Cases
Track how yield curves evolve over time
Compare countries (e.g., US vs. EU)
Monitor market expectations through forward-curve dynamics
Analyze steepening/flattening trends in the term structure
YieldCurve Suite provides a clear and intuitive visual framework for exploring global interest-rate structures—ideal for traders and analysts seeking deeper macro insight.
Momentum Master v1# Momentum Master v1 - Multi-Strategy Trading System
## SCRIPT OVERVIEW
Momentum Master v1 is a multi-strategy trading system that integrates 6 distinct trading methodologies (EMA Crossover, RSI Mean Reversion, Breakout, MACD Crossover, Bollinger Bands, Volume Breakout) through a shared risk management pipeline. This script implements a proprietary integration framework that creates synergistic value beyond what individual indicators provide, combining advanced technical analysis techniques with institutional flow analysis.
## TECHNICAL METHODOLOGY
### Multi-Strategy Signal Generation Framework
The script operates on a shared execution framework where all six trading strategies share the same risk management system, but each strategy uses its own unique entry logic:
1. **EMA Crossover System**: Detects momentum shifts using configurable fast/slow EMA periods (Standard 9/21, Fast 7/17, Slow 13/26, or Custom)
2. **RSI Mean Reversion**: Identifies overbought/oversold conditions for counter-trend opportunities
3. **Breakout Detection**: Captures price breakouts from consolidation zones
4. **MACD Crossover**: Uses MACD line crossovers to confirm trend changes
5. **Bollinger Bands**: Trades bounces from band extremes and breakouts
6. **Volume Breakout**: Confirms moves with above-average volume
**Why This Integration Creates Unique Value:**
This is not a simple indicator mashup. The proprietary integration framework creates synergistic value through:
- **Shared Risk Management**: All strategies share ATR-based stop loss calculation and multiple take profit levels (TP1-TP6 with ratios 1:2, 1:4, 1:6, 1:8, 1:10, 1:12)
- **Adaptive Confidence Scoring**: The system evaluates market context from multiple perspectives simultaneously
- **Shared Filter System**: Optional filters (RSI extremes, ADX trend strength, Volume confirmation, POC proximity) apply uniformly across all strategies
## FLOW ANALYSIS INTEGRATION
### Fair Value Gap (FVG) Retracement Validation
The script implements proprietary FVG detection with retracement validation logic:
- **200-bar lookback** with **20% ATR tolerance** for gap identification
- **Retracement confirmation**: Signals can require price to retrace into a recent FVG before entry (optional filter)
- **Size filtering**: Only displays FVGs above minimum ATR threshold (configurable)
- **Visual tracking**: Shows last N FVGs with color-coded boxes (bullish green, bearish red)
**How FVG Integration Enhances Strategy Signals:**
When a strategy generates a signal, the FVG system validates whether price has recently retraced into an institutional order flow gap. This adds a layer of confirmation that the move is supported by institutional activity, not just retail momentum.
### Order Block Detection with Directional Alignment
- **Institutional accumulation/distribution zones**: Identifies the last bullish/bearish candle before a significant move
- **Directional filter**: Optional setting to only allow trades aligned with the most recent order block direction
- **ATR-based size filtering**: Filters out noise by requiring minimum order block size
- **Visual display**: Shows order blocks as colored boxes extending N bars forward
**Integration Logic:**
Order blocks represent areas where institutions accumulated or distributed positions. When a strategy signal occurs near an order block, it indicates higher probability that the move will continue in the block's direction.
### Multi-Timeframe POC (Point of Control) Analysis
The script calculates and displays POC levels from multiple timeframes:
- **Volume Profile POC**: Highest volume price over last N bars (configurable lookback)
- **Session POC**: Point of control for current trading session
- **Daily POC**: Daily volume-weighted average price
- **Weekly POC**: Weekly volume-weighted average price (optional)
**POC Proximity Filtering:**
Optional filters allow signals only when price is within X ATR of a POC level. This ensures entries occur at statistically significant price levels where liquidity is concentrated.
## FIBONACCI EXTENSION SYSTEM
### Dynamic Fibonacci Calculation
- **Swing-based detection**: Automatically identifies swing highs and lows using configurable lookback period
- **Extension levels**: Calculates Fibonacci extension levels (0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0, 2.618)
- **Retracement levels**: Shows standard retracement levels (0.236, 0.382, 0.5, 0.618, 0.786)
- **Negative levels**: Optional negative Fibonacci levels (-0.27, -0.618) for extended targets
**How Fibonacci Enhances Risk Management:**
Take profit levels are automatically calculated using Fibonacci extension mathematics. The system identifies the swing structure and projects potential reversal zones, allowing traders to set targets based on mathematical probability rather than arbitrary price levels.
## LIQUIDITY ZONE DETECTION
### Buy and Sell Side Liquidity
- **Swing-based liquidity zones**: Identifies recent swing highs (sell-side liquidity) and swing lows (buy-side liquidity)
- **Configurable lookback**: Adjustable period for liquidity zone detection
- **Visual display**: Horizontal lines extending N bars forward to show liquidity targets
- **Maximum zones**: Limits display to most recent N zones to avoid chart clutter
**Trading Application:**
Liquidity zones represent areas where stop losses are likely clustered. Price often moves to "sweep" these liquidity zones before reversing, creating high-probability entry opportunities.
## RISK MANAGEMENT SYSTEM
### ATR-Based Stop Loss Calculation
- **Dynamic stop placement**: Stop loss calculated using ATR (Average True Range) with configurable multiplier
- **Adaptive to volatility**: Stop loss automatically adjusts to current market volatility conditions
- **Configurable ATR period**: Default 14-period ATR, adjustable from 5-30 periods
- **SL multiplier**: Adjustable from 0.5x to 10x ATR for different risk profiles
### Multiple Take Profit Levels
The system supports up to 6 take profit levels with fixed risk-reward ratios:
- **TP1**: 1:2 risk-reward ratio
- **TP2**: 1:4 risk-reward ratio
- **TP3**: 1:6 risk-reward ratio
- **TP4**: 1:8 risk-reward ratio (optional)
- **TP5**: 1:10 risk-reward ratio (optional)
- **TP6**: 1:12 risk-reward ratio (optional)
**Why Multiple TP Levels:**
This allows partial profit-taking at key Fibonacci extension levels while letting winners run. The system tracks win rates for each TP level, helping traders optimize their exit strategy.
## SIGNAL FILTERS (OPTIONAL ENHANCEMENTS)
### RSI Extreme Filter
- **Avoid overbought/oversold extremes**: Prevents entries when RSI is in extreme zones (default: >70 overbought, <30 oversold)
- **Configurable thresholds**: Adjustable RSI levels and calculation period
- **Purpose**: Reduces false signals in exhausted moves
### ADX Trend Strength Filter
- **Avoid choppy markets**: Only allows trades when ADX indicates trending conditions (default: ADX > 20)
- **Configurable threshold**: Adjustable ADX minimum value (10-50)
- **Purpose**: Filters out low-probability trades in ranging markets
### Volume Confirmation
- **Volume multiplier**: Requires volume above X times average (default: 1.1x)
- **Purpose**: Ensures moves are supported by institutional participation
### POC Proximity Filters
- **Volume POC filter**: Only enter when price is near Volume Profile POC
- **Session POC filter**: Only enter when price is near Session POC
- **Daily POC filter**: Only enter when price is near Daily POC
- **Weekly POC filter**: Only enter when price is near Weekly POC
- **Proximity threshold**: Configurable ATR multiplier for "near" definition (default: 2.0x ATR)
---
## DIVERGENCE DETECTION
### MFI (Money Flow Index) Divergence
- **Bullish divergence**: Price makes lower low, MFI makes higher low (potential reversal up)
- **Bearish divergence**: Price makes higher high, MFI makes lower high (potential reversal down)
- **Configurable lookback**: Adjustable period for divergence detection (default: 100 bars)
- **Minimum bars between divergences**: Prevents duplicate signals (default: 10 bars)
- **Advanced thresholds**: Separate thresholds for RSI, price, and MFI divergence strength
**Note**: Divergence detection is visual-only and does not filter trades. It provides additional market context for discretionary traders.
## MARKET CONTEXT TOOLS
### Session High/Low Lines
- **Recent session extremes**: Displays horizontal lines for session high and low
- **Configurable lookback**: Adjustable period for session calculation (default: 10 bars)
- **Purpose**: Identifies key intraday support/resistance levels
### Swing Point Detection
- **Automatic swing identification**: Marks significant swing highs and lows
- **Visual reference**: Helps identify market structure and trend direction
### Signal Overview Table
Real-time technical analysis overview:
- **Current RSI**: Relative Strength Index value
- **ATR**: Current Average True Range
- **ADX**: Average Directional Index (trend strength)
- **EMA status**: Current fast/slow EMA relationship (Bullish/Bearish/Neutral)
- **POC levels**: Current price relative to POC levels
- **Confidence score**: Calculated confidence percentage based on confluence
- **Volume trend**: Current volume trend direction
## CHART DISPLAY OPTIONS
### Entry/SL/TP Lines
- **Visual trade management**: Displays entry price, stop loss, and all take profit levels as horizontal lines
- **Configurable length**: Lines extend N bars forward (default: 30 bars)
- **Color-coded**: Different colors for entry, stop loss, and each TP level
### Win/Loss Labels
- **Trade verification**: Displays up to 500 individual win/loss labels on chart
- **Visual feedback**: Green labels for wins, red labels for losses
- **Performance tracking**: Helps verify strategy performance visually
## USAGE INSTRUCTIONS
### Initial Setup
1. **Select Strategy Mode**: Choose your preferred trading strategy from the dropdown (EMA Crossover, RSI Mean Reversion, Breakout, MACD Crossover, Bollinger Bands, Volume Breakout, or Disabled)
2. **Configure Risk Management**:
- Set ATR Length for stop loss calculation (default: 14)
- Set SL ATR Multiplier (default: 1.0)
- Enable additional TP levels if desired (TP4-TP6 are optional)
3. **Adjust Strategy Parameters**: Each strategy has its own settings group. Configure EMA periods, RSI settings, MACD parameters, etc., based on your selected strategy.
### Recommended Settings by Market Type
**Forex/Crypto (High Volatility)**:
- EMA Mode: Fast (7/17) or Custom (3/21)
- SL ATR Multiplier: 1.5-2.0
- Enable FVG retracement filter
- Enable Order Block directional filter
**Stocks (Moderate Volatility)**:
- EMA Mode: Standard (9/21)
- SL ATR Multiplier: 1.0-1.5
- Enable ADX filter to avoid choppy markets
- Enable Volume confirmation
**Indices (Lower Volatility)**:
- EMA Mode: Slow (13/26)
- SL ATR Multiplier: 0.8-1.2
- Enable POC proximity filters
- Enable RSI extreme filter
### Advanced Configuration
1. **Enable Optional Filters**: Navigate to "Signal Filters" section and enable filters that match your trading style
2. **Configure Market Analysis Tools**: Adjust FVG, Order Block, Fibonacci, and POC settings in their respective sections
3. **Customize Display**: Toggle chart display options to show/hide various elements based on your preference
---
## WHY THIS INDICATOR COMBINATION CREATES UNIQUE VALUE
### Multi-Layered Confluence Analysis
This script is not a simple indicator mashup. It implements a proprietary integration framework that creates synergistic value through three layers of analysis:
**Layer 1: Fibonacci Mathematics**
- Golden Zone identification (61.8%-78.6% retracement zone) using three-point trend-based calculation
- Extension targets based on swing structure mathematics
- Statistically significant retracement areas where price is likely to reverse
**Layer 2: Institutional Flow Analysis**
- Fair Value Gaps (FVGs) identify order flow gaps where price must return
- Order Blocks mark institutional accumulation/distribution zones
- Multi-timeframe POC analysis shows where liquidity is concentrated
- Liquidity zones identify where stop losses cluster
**Layer 3: Multi-Strategy Signal Generation**
- Six different entry methodologies provide multiple perspectives
- Shared risk management ensures consistent position sizing
- Adaptive confidence scoring evaluates confluence from all three layers
- Optional filters allow customization for different market conditions
### Proprietary Integration Framework
The unique value comes from how these components work together:
1. **Strategy generates signal** → 2. **FVG/Order Block validates institutional support** → 3. **POC confirms liquidity level** → 4. **Fibonacci provides target zones** → 5. **Risk management calculates optimal SL/TP placement**
This creates a complete trading system, not just a collection of indicators.
---
## TECHNICAL SPECIFICATIONS
- **Pine Script Version**: v6
- **Chart Type**: Overlay (displays on price chart)
- **Max Bars Back**: 5000 (for historical analysis)
- **Max Labels**: 500 (for win/loss tracking)
- **Compatibility**: Works on all timeframes and instruments
- **Performance**: Optimized for real-time execution
---
## DISCLAIMER
This script is a technical analysis tool and does not constitute financial, investment, trading, or other types of advice. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. The script's signals are based on mathematical calculations and should be used in conjunction with your own analysis and risk management practices.
---
## SUPPORT AND ACCESS
This is an invite-only script. To request access:
1. Visit: www.pinescriptedge.com
2. Include your TradingView username and brief trading experience
3. Access will be reviewed and granted within 24 hours
**Note**: TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
---
## VERSION INFORMATION
**Momentum Master v1** - Initial release with multi-strategy framework and institutional flow analysis integration.
For updates and new features, follow the script or check the author's profile for version announcements.
Pivot Fib 4H — EAStrategy uses the pivot standard to open position, it has well define entry and exit point with SL, it also has a proper money management plan, maximum 4 trades a day, each trade risk 0.5% of the account, I have it EA version of it also.
Multi-Asset % Performance Table | v2.1 | TCP Multi-Asset % Performance Table | v2.1 | TCP
ESSENTIAL SUMMARY:
Multi-Asset % Performance Table eliminates the need to manually draw and manage individual "Price Range" tools for every asset. It automatically tracks up to 15 tickers independently in a single dashboard, calculating a TOTAL SCORE (Portfolio Average) for you. Unlike manual drawings, it supports a Global Range while allowing Custom Dates for specific assets, ensuring each ticker is calculated based on its own precise entry/exit. The Smart Visuals dynamically draw the correct date lines only for the ticker you are currently viewing, keeping your chart automatic, accurate, and clutter-free.
FUL DESCRIPTION:
📊 What is this tool?
The Multi-Asset % Performance Table is a powerful portfolio dashboard designed to track the percentage performance of up to 15 different assets simultaneously.
Instead of checking tickers one by one or manually drawing price ranges, this indicator aggregates everything into a single, clean table. It allows you to compare the ROI (Return on Investment) of a basket of coins or stocks over a specific time period and calculates an aggregate TOTAL SCORE (Average %) for your selection.
🚀 Key Features
15 Asset Slots: Monitor up to 15 different tickers (Crypto, Stocks, Forex, etc.) in one view.
Global vs. Custom Dates: Set a "Global" start/end date for the whole portfolio, but override specific assets with Custom Dates if they entered the portfolio at a different time.
Smart Visuals: Automatically draws vertical dashed lines on your chart representing the start and end dates of the ticker you are currently viewing.
Total Score Calculation: Calculates the average percentage change of your portfolio. You can dynamically include or exclude specific assets from this average using the settings.
Status Column: A quick visual reference (✔ or ✘) in the table showing which assets are currently included in the Total Score calculation.
⚙️ How it Works
Data Fetching: The script pulls "Close" prices from the Daily timeframe to ensure accuracy across long periods.
Smart Matching: The visual lines automatically detect which asset you are viewing. For example, if you are looking at BTCUSDT and have custom dates set for it, the vertical lines will jump to those specific dates. If you view a ticker not in your list, it defaults to the Global dates.
Visual Protection: The script uses advanced logic to ensure only one set of range lines appears on the chart at a time, keeping your workspace clean.
🛠️ Instructions & Settings
1. Setting up your Assets
Open the Settings (Cogwheel icon).
Under ASSET 1 through ASSET 15, enter the tickers you want to track (e.g., BINANCE:BTCUSDT).
Include in Avg?: Uncheck this if you want to see the asset in the table but exclude it from the "TOTAL SCORE" average.
2. Defining Time Ranges
Global Settings: Set the Global Start and Global End dates at the top. This applies to all assets by default.
Custom Dates: If a specific asset (e.g., Asset 4) was bought on a different day, check the "Custom Dates?" box for that asset and enter its specific Start/End time.
3. Reading the Table
The table appears on the chart (default: Bottom Right) with three columns:
Asset: The name of the ticker.
% Change: The percentage move from Start Date to End Date. (Green = Positive, Red = Negative).
Inc: Shows a ✔ if the asset is included in the Total Score average, or a ✘ if excluded.
4. The Visual Lines
Two vertical dashed lines will appear on your chart.
Note: These lines are visual references only. You cannot drag them to change the dates. To change the dates, you must use the Settings menu.
💡 Tips
Hover for Details: Hover your mouse over the % Change value in the table to see a tooltip showing the exact Start Price and End Price used for the calculation.
Resolution: The script defaults to 1 Day resolution for optimal accuracy on historical data.
v2.1 | TCP - Custom Built for Precision Performance Tracking
Nifty50 Sector Weightage PerformanceNifty50 Sector Weightage Performance is a comprehensive market analysis indicator that visualizes the composition and daily performance of all 15 sectors in the Nifty 50 index. This powerful tool provides real-time insights into sector movements, helping traders and investors identify market trends, understand sector rotation, and make informed trading decisions.
The indicator combines sector weightage data with daily percentage changes to calculate a weighted market sentiment score, displayed through an intuitive visual progress bar that indicates whether the market is moving towards bullish or bearish territory.
Comprehensive Sector Coverage
- Tracks all 15 sectors of the Nifty 50 index. Some broad indices because of request limit on Tradingview.
- Displays real-time sector weights and daily percentage changes
- Color-coded visualization for quick performance assessment
Complete Sector Breakdown
1. Financial Services (36.76%)
- Symbol: NSE:BANKNIFTY
- Largest sector in Nifty 50
- Uses Bank Nifty index for comprehensive financial sector representation
2. Oil, Gas & Consumable Fuels (10.26%)
- Individual Stocks(weighted average):
- RELIANCE (8.71%)
- ONGC (0.81%)
- COALINDIA (0.74%)
3. Information Technology (9.98%)
- Symbol: NSE:CNXIT
- Represents IT sector performance through CNX IT index
4. Automobile & Auto Components (6.83%)
- Individual Stocks (weighted average):
- M&M (Mahindra & Mahindra) - 2.77%
- BAJAJ_AUTO (Bajaj Auto) - 0.84%
- EICHERMOT (Eicher Motors) - 0.79%
- MARUTI (Maruti Suzuki) - 1.77%
- TATAMOTORS (Tata Motors) - 0.66%
5. Fast Moving Consumer Goods (6.52%)
- Symbol: NSE:CNXFMCG
- Uses CNX FMCG index for consumer goods sector
6. Telecommunication (4.96%)
- Symbol: NSE:BHARTIARTL
- Uses Bharti Airtel as representative stock
7. Healthcare (4.27%)
- Symbol: NSE:CNXPHARMA
- Pharmaceutical sector represented by CNX Pharma index
8. Construction (3.98%)
- Symbol: NSE:LT
- Uses Larsen & Toubro as representative stock
9. Metals & Mining (3.64%)
- Symbol: NSE:CNXMETAL
- Metals sector through CNX Metal index
10. Consumer Services (2.63%)
- Individual Stocks (weighted average):
- ETERNAL (Eternal) - 1.8%
- TRENT (Trent) - 0.82%
11. Consumer Durables (2.47%)
- Individual Stocks (weighted average):
- TITAN (Titan Company) - 1.36%
- ASIANPAINT (Asian Paints) - 1.11%
12. Power (2.37%)
- Individual Stocks (weighted average):
- NTPC (NTPC Limited) - 1.32%
- POWERGRID (Power Grid Corporation) - 1.05%
13. Construction Materials (2.07%)
- Individual Stocks (weighted average):
- ULTRACEMCO (UltraTech Cement) - 1.18%
- GRASIM (Grasim Industries) - 0.89%
14. Services (2.00%)
- Individual Stocks (weighted average):
- INDIGO (Interglobe Aviation) - 1.06%
- ADANIPORTS (Adani Ports) - 0.93%
15. Capital Goods (1.28%)
- Individual Stock:
- BEL (Bharat Electronics) - 1.28%
Sector Performance Calculation
- Single Index Sectors: Uses direct index/symbol percentage change
- Multi-Stock Sectors: Calculates weighted average based on individual stock weights and their percentage changes
- Formula: Weighted Average = Σ(Stock Weight × Stock % Change) / Total Sector Weight
Data Source
Nifty 50 Index: www.niftyindices.com
Nifty Sector Weightage MatrixSector-weighted view of the Nifty 50 index. This script highlights how much each sector contributes to the index along with real-time sector trend. Essential for index traders looking to understand sector impact, rotations, and leadership.
Bitcoin vs M2 Global Liquidity (Lead 3M) - Table Ticker═══════════════════════════════════════════════════════════════
Bitcoin vs M2 Global Liquidity - Regression Indicator
═══════════════════════════════════════════════════════════════
TECHNICAL SPECS
• Pine Script v6
• Overlay: false (separate pane)
• Data sources: 5 M2 series + 4 FX pairs (request.security)
• Calculation: Rolling OLS linear regression with configurable lead
• Output: Regression line + ±1σ/±2σ confidence bands + R² ticker
CORE FUNCTIONALITY
Aggregates M2 money supply from 5 central banks (CN, US, EU, JP, GB),
converts to USD, applies time-lead, runs rolling linear regression
vs Bitcoin price, plots predicted value with confidence intervals.
CONFIGURABLE PARAMETERS
Input Controls:
• Lead Period: 0-365 days (default: 90)
• Lookback Window: 50-2000 bars (default: 750)
• Bands: Toggle ±1σ and ±2σ visibility
• Colors: BTC, M2, regression line, confidence zones
• Ticker: Position, size, colors, transparency
Advanced Settings:
• Table display: R², lead, M2 total, country breakdown (%)
• Ticker customization: 9 position options, 6 text sizes
• Border: Width 0-10px, color, outline-only mode
DATA AGGREGATION
Sources (via request.security):
• ECONOMICS:CNM2, USM2, EUM2, JPM2, GBM2
• FX_IDC:CNYUSD, JPYUSD (others: FX:EURUSD, GBPUSD)
• Conversion: All M2 → USD → Sum / 1e12 (trillions)
REGRESSION ENGINE
• Arrays: m2Array, btcArray (dynamic sizing, auto-trim)
• Window: Rolling (lookbackPeriod bars)
• Lead: Time-shift via array indexing (i + leadPeriodDays)
• Calc: Manual OLS (covariance/variance), no built-in ta functions
• Outputs: slope, intercept, r2, stdResiduals
CONFIDENCE BANDS
±1σ and ±2σ calculated from standard deviation of residuals.
Fill zones between upper/lower bounds with configurable transparency.
ALERTS
5 pre-configured alertcondition():
• Divergence > 15%
• Price crosses ±1σ bands (up/down)
• Price crosses ±2σ bands (up/down)
TICKER TABLE
Dynamic table.new() with 9 rows:
• R² value (4 decimals)
• Lead period (days + months)
• M2 Global total (trillions USD)
• Country breakdown: CN, US, EU, JP, GB (absolute + %)
• Optional: Hide/show M2 details
VISUAL CUSTOMIZATION
All plot() elements support:
• Color picker inputs (group="Couleurs")
• Line width: 1-3px
• Transparency: 0-100% for zones
• Offset: M2 plot has +leadPeriodDays offset option
PERFORMANCE
• Max arrays size: lookbackPeriod + leadPeriodDays + 200
• Calculations: Only when array.size >= lookbackPeriod + leadPeriodDays
• Table update: barstate.islast (once per bar)
• Request.security: gaps_off mode
CODE STRUCTURE
1. Inputs (lines 7-54)
2. Data fetch (lines 56-76)
3. M2 aggregation (line 78)
4. Array management (lines 84-95)
5. Regression calc (lines 97-172)
6. Prediction + bands (lines 174-183)
7. Plots (lines 185-199)
8. Ticker table (lines 201-236)
9. Alerts (lines 238-246)
DEPENDENCIES
None. Pure Pine Script v6. No external libraries.
LIMITATIONS
• Daily timeframe recommended (1D)
• Requires 750+ bars history for optimal calculation
• M2 data availability: TradingView ECONOMICS feed
• Max lines: 500 (declared in indicator())
CUSTOMIZATION EXAMPLES
• Shorter lookback (200d): More reactive, lower R²
• Longer lookback (1500d): More stable, regime mixing
• No bands: Set showBands=false for clean view
• Different lead: Test 60d, 120d for sensitivity analysis
TECHNICAL NOTES
• Manual OLS implementation (no ta.linreg)
• Array-based lead application (not plot offset)
• M2 values stored in trillions (/ 1e12) for readability
• Residuals array cleared/rebuilt each calculation
OPEN SOURCE
Code fully visible. Modify, fork, analyze freely.
No hidden calculations. No proprietary data.
VERSION
1.0 | November 2025 | Pine Script v6
═══════════════════════════════════════════════════════════════
Liquidity Sweep + BOS Retest System — Prop Firm Edition🟦 Liquidity Sweep + BOS Retest System — Prop Firm Edition
A High-Probability Smart Money Strategy Built for NQ, ES, and Funding Accounts
🚀 Overview
The Liquidity Sweep + BOS Retest System (Prop Firm Edition) is a precision-engineered SMC strategy built specifically for prop firm traders. It mirrors institutional liquidity behavior and combines it with strict account-safe entry rules to help traders pass and maintain funding accounts with consistency.
Unlike typical indicators, this system waits for three confirmations — liquidity sweep, displacement, and a clean retest — before executing any trade. Every component is optimized for low drawdown, high R:R, and prop-firm-approved risk management.
Whether you’re trading Apex, TakeProfitTrader, FFF, or OneUp Trader, this system gives you a powerful mechanical framework that keeps you within rules while identifying the market’s highest-probability reversal zones.
🔥 Key Features
1. Liquidity Sweep Detection (Stop Hunt Logic)
Automatically identifies when price clears a previous swing high/low with a sweep confirmation candle.
✔ Filters noise
✔ Eliminates early entries
✔ Locks onto true liquidity grabs
2. Automatic Break of Structure (BOS) Confirmation
Price must show true displacement by breaking structure opposite the sweep direction.
✔ Confirms momentum shift
✔ Removes fake reversals
✔ Ensures institutional intent
3. Precision Retest Entry Model
The strategy enters only when price retests the BOS level at premium/discount pricing.
✔ Zero chasing
✔ Extremely tight stop loss placement
✔ Prop-firm-friendly controlled risk
4. Built-In Risk & Trade Management
SL set at swept liquidity
TP set by user-defined R:R multiplier
Optional session filter (NY Open by default)
One trade at a time (no pyramiding)
Automatically resets logic after each trade
This prevents overtrading — the #1 cause of evaluation and account breaches.
5. Designed for Prop Firm Futures Trading
This script is optimized for:
Trailing/static drawdown accounts
Micro contract precision
Funding evaluations
Low-risk, high-probability setups
Structured, rule-based execution
It reduces randomness and emotional trading by automating the highest-quality SMC sequence.
🎯 The Trading Model Behind the System
Step 1 — Liquidity Sweep
Price must take out a recent high/low and close back inside structure.
This confirms stop-hunting behavior and marks the beginning of a potential reversal.
Step 2 — BOS (Break of Structure)
Price must break the opposite side swing with a displacement candle. This validates a directional shift.
Step 3 — Retest Entry
The system waits for price to retrace into the BOS level and signal continuation.
This creates optimal R:R entry with minimal drawdown.
📈 Best Markets
NQ (NASDAQ Futures) – Highly recommended
ES, YM, RTY
Gold (XAUUSD)
FX majors
Crypto (with high volatility)
Works best on 1m, 2m, 5m, or 15m depending on your trading style.
🧠 Why Traders Love This System
✔ No signals until all confirmations align
✔ Reduces overtrading and emotional decisions
✔ Follows market structure instead of random indicators
✔ Perfect for maintaining long-term funded accounts
✔ Built around institutional-grade concepts
✔ Makes your trading consistent, calm, and rules-based
⚙️ Recommended Settings
Session: 06:30–08:00 MST (NY Open)
R:R: 1.5R – 3R
Contracts: Start with 1–2 micros
Markets: NQ for best structure & volume
📦 What’s Included
Complete strategy logic
All plots, labels, sweep markers & BOS alerts
BOS retest entry automation
Session filtering
Stop loss & take profit system
Full SMC logic pipeline
🏁 Summary
The Liquidity Sweep + BOS Retest System is a complete, prop-firm-ready, structure-based strategy that automates one of the cleanest and most reliable SMC entry models. It is designed to keep you safe, consistent, and rule-compliant while capturing premium institutional setups.
If you want to trade with confidence, discipline, and prop-firm precision — this system is for you.
Good Luck -BG






















