SPDR Sectors TableThis script generates an interactive and customizable SPDR Sectors Table designed to monitor and analyze the performance of the 11 main sectors of the S&P 500 via sector-specific ETFs. It offers a dynamic overview of daily or periodic sector movements, making it a valuable tool for traders, analysts, and investors implementing sector rotation strategies.
█ DEFINITIONS
SPDR Sectors ETFs are exchange-traded funds managed by State Street Global Advisors, which divide the S&P 500 into the following 11 sectors:
- Communication Services (XLC)
- Consumer Discretionary (XLY)
- Consumer Staples (XLP)
- Energy (XLE)
- Financials (XLF)
- Health Care (XLV)
- Industrials (XLI)
- Materials (XLB)
- Real Estate (XLRE)
- Technology (XLK)
- Utilities (XLU)
These ETFs aim to replicate the performance of their respective sectors as defined by the Global Industry Classification Standard (GICS). The funds are periodically rebalanced to match changes in the S&P 500 composition, offering an accurate snapshot of sectoral trends.
█ INDICATOR
The table displays each sector's ticker and full name, following official GICS terminology and SPDR color coding. It also shows percentage performance, calculated daily on intraday charts or based on the selected time frame.
Users can sort the table by either percentage performance or the relative weight of each ETF in the S&P 500. The default weight values reflect data updated as of 17 April 2025, and can be manually adjusted based on the most recent sector weightings available on the official SPDR website.
Analisi fondamentale
MÈGAS ALGO : CNA (Cognitio Analysis) [INDICATOR]Overview
The CNA (Cognitio Analysis) is a comprehensive financial analysis tool designed to evaluate the overall health and potential of a market or company based on fundamental metrics. It aggregates data across five key metric groups—**Growth**, **Profitability**, **Cash Flow**, **Income**, and **Valuation**—to provide a final interpretation of market conditions. The indicator dynamically adapts to the selected fiscal period (Quarter, Year, or Trailing Twelve Months) and delivers insights into dominant trends and conflicting signals.
Key Features
1. Customizable Fiscal Period:
- Users can select between "Quarter", "Year", or "Trailing Twelve Months" (TTM) to analyze data for their desired timeframe.
2. Dynamic Table Visualization:
- Displays raw metric values, aggregated scores, and the final interpretation in an intuitive
table.
- Highlights the final interpretation with dynamic background colors (`color.teal` for bullish,
`color.red` for bearish, etc.).
3. Comprehensive Data Integration:
- Pulls financial data using TradingView's `request.financial()` function for metrics like
revenue, earnings, margins, and valuation ratios.
4. Normalization and Scoring:
- Normalizes data to create a consistent scoring system, ensuring accurate comparisons across
metrics.
How It Works
1. Metric Group Analysis
- Growth Metrics: Measures revenue growth, earnings per share (EPS) growth, and tax
efficiency.
- Profitability Metrics: Analyzes net profit margin, return on equity (ROE), and EBITDA margin.
- Cash Metrics: Assesses operating cash flow margin, free cash flow to operating cash flow
ratio, and cash flow coverage.
- Income Metrics: Examines gross profit margin, operating profit margin, and EBIT margin.
- Valuation Metrics: Evaluates price-to-earnings (P/E), price-to-sales (P/S), and enterprise
value-to-EBITDA (EV/EBITDA).
2. Dynamic Scoring System
- Metrics are normalized to ensure consistency across different scales.
- A geometric mean is used to calculate scores for each metric group, ensuring that all metrics
within a group contribute equally to the final score.
3. Dominant Trend Identification
- Scores from all five metric groups are aggregated to determine the **dominant trend** of the
market.
- The dominant trend is categorized as:
- Bullish: Strong fundamentals across most metrics.
- Bearish: Weak fundamentals across most metrics.
- Neutral: Balanced conditions with no clear direction.
- Unclear: Mixed signals dominate, requiring further monitoring.
4. Conflicting Signals Interpretation
- The indicator identifies scenarios where metrics conflict (e.g., high growth but low valuation).
- These conflicting signals provide nuanced insights into market conditions, highlighting rare opportunities or potential risks.
How to Use the Indicator
1. Select Fiscal Period:
- Choose between "FQ", "FY", or "TTM" to analyze data for the desired timeframe.
2. Review Metric Scores:
- Examine the scores for each metric group (Growth, Profitability, Cash, Income, Valuation) to
understand the underlying performance.
3. Interpret Final Output:
- The final interpretation provides a summary of the dominant trend and conflicting signals,
helping users make informed decisions.
4. Dynamic Coloring:
- Use the dynamic background colors in the table to quickly identify market sentiment
(bullish, bearish, neutral, or mixed).
Applications
- Identifying Opportunities:
- Look for bullish dominant trends combined with undervalued growth opportunities for
potential long positions.
- Avoiding Risks:
- Watch out for bearish dominant trends with overvaluation alerts to avoid potential losses.
- Monitoring Neutral Markets:
- Use the indicator to identify neutral markets and wait for clearer signals before making
decisions.
Conclusion
The CNA (Cognitio Analysis) is a powerful tool for traders and investors seeking to make informed decisions based on fundamental analysis. By combining detailed metric evaluations, dynamic scoring, and sentiment-based interpretations, this indicator provides a comprehensive view of market conditions. Whether you're identifying undervalued opportunities, avoiding overvalued risks, or monitoring neutral markets, this indicator equips you with the insights needed to navigate complex financial landscapes.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outc
MACD Liquidity Tracker SystemMACD Liquidity Tracker System
🔹 Enhanced MACD with candle coloring, entry markers, and customizable signal logic.
🧠 Features:
This tool combines a color-coded MACD histogram with signal-based candle colors and small shape markers (🔼🔽) for clear market momentum and entry visualization.
📊 Visuals:
MACD Histogram (Sub-panel):
4 dynamic colors to show momentum direction:
🔹 Bright Blue = MACD > 0 & rising (strong bullish)
🔹 Dark Blue = MACD > 0 & falling (weakening bullish)
🔹 Bright Magenta = MACD < 0 & falling (strong bearish)
🔹 Dark Magenta = MACD < 0 & rising (weakening bearish)
Price Candles (Main Chart):
🔹 Bright Blue = Active Long signal
🔹 Bright Magenta = Active Short signal
Entry Markers:
🔼 Blue triangle (below candle) = Start of Long
🔽 Magenta triangle (above candle) = Start of Short
⚙️ System Types (select in settings):
Normal:
🔹 Long = MACD > 0
🔹 Short = MACD < 0
Fast: (Based on histogram color)
🔹 Long = Bright Blue OR Dark Magenta
🔹 Short = Dark Blue OR Bright Magenta
Safe:
🔹 Long = Only Bright Blue
🔹 Short = All other colors
🔔 Alerts:
Alerts trigger only on the first bar of a new Long/Short signal.
Easy to set up using TradingView’s alert system.
📌 How to Use:
Add the indicator to your chart
Open settings and select a System Type
Adjust MACD parameters if needed
Use histogram color + candle color for momentum and signal confirmation
Set alerts for clean entries if desired
💡 Ideal for traders seeking visual clarity and flexible MACD-based strategies.
Stock metrics and valueThis indicator shows:
- the valuation metrics for a stock on a table on top right: PE, EPS, dividend, ROIC, ROE, ROA, EPS growth, FCF growth, Equity growth, revenue Growth
- the fair value and the value with 50% margin of safety as chart lines
The lines will be red when they are above the current price and red when they are below the current price.
The colors on the table will be red when the values are below 10% and green when they are above, that means when everything is green the metrics for the stock are good.
Buffett Indicator (Wilshire 5000 / GDP)The Buffett Indicator (Wilshire 5000 / GDP) is a macroeconomic metric used to assess whether the U.S. stock market is overvalued or undervalued. It is calculated by dividing the total market capitalization (represented by the Wilshire 5000 Index) by the U.S. Gross Domestic Product (GDP). A value above 1 (or 100%) may indicate an overvalued market, while a value below 1 suggests potential undervaluation. This indicator is best suited for long-term investment analysis.
Gas/Oil SpreadGas/Oil Spread Analyzer with Static Overbought/Oversold Zones
This indicator measures the spread between the actual price of natural gas and its oil-based equivalent, derived from a defined oil/gas ratio. It helps traders identify potential mispricings and mean-reversion opportunities between the two energy commodities.
Key Features:
- Calculates spread: Gas Price – Oil-Based Equivalent Price
- Supports dynamic or static oil/gas ratio
- Plots a smoothed version of the spread (SMA)
- Displays static overbought and oversold zones to highlight extreme deviations
Use Cases:
- Detect overvalued or undervalued gas relative to oil
- Spot potential reversion setups in intermarket trading
- Evaluate energy market dislocations and hedging opportunities
Oil/gas ratio MAOil/Gas Ratio-Based Equivalent Price
This indicator calculates the gas-equivalent price based on the current oil price and a defined oil/gas ratio. It helps identify relative overvaluation or undervaluation of natural gas compared to oil.
Features:
- Choose between a static or dynamic (SMA-based) oil/gas ratio
- Displays the fair value of gas derived from oil prices
- Works with any oil ticker symbol (e.g. BRENT, USOIL, etc.)
Useful for traders analyzing intermarket relationships and looking for relative value signals between energy commodities.
AI-123's BTC vs Gold (Lag Correlation)
DISCLAIMER
I made this indicator with the help of ChatGPT and using what I have learned so far from The Pine Script Mastery Course, LOTS of edits based on what I have learned so far had to be made as well as additions and modifications to my liking thanks to what I have learned so far. I am aware this already exists but I have done my best to make a first ever script/indicator while learning how to properly publish as well, so please bear that in mind.
Overview
This indicator analyzes the correlation between Bitcoin (BTC) and Gold (XAUUSD), with a customizable lag applied to the Gold price, providing insight into the macro relationship between these two assets.
It is designed for traders and investors who want to track how Bitcoin and Gold move in relation to each other, particularly when Gold is lagged by a specific number of days.
Key Features:
BTC and Gold (Lagged) Price Overlay: Display Bitcoin (BTC) and Gold (XAUUSD) prices on the chart, with an adjustable lag applied to the Gold price.
Rolling Correlation Calculation: Measures the correlation between Bitcoin and lagged Gold prices over a customizable lookback period.
Adjustable Lag: The number of days that Gold is lagged relative to Bitcoin is fully customizable (default: 20 days).
Customizable Correlation Length: Allows you to choose the lookback period for the correlation (default: 50 days), providing flexibility for short-term or long-term analysis.
Normalized Plotting: Prices of Bitcoin and Gold are normalized for better visual alignment with the correlation values. BTC is divided by 1000, and Gold by 100.
Correlation Scaling: The correlation value is amplified by 10 for better visual clarity and comparison with price data.
Zero Line: Horizontal line representing a correlation of 0, making it easier to identify positive or negative correlation shifts.
Maximum Correlation Lines: Horizontal lines at +10 and -10 values for extreme correlation scenarios.
Input Settings:
Gold Symbol: Customize the Gold ticker (default: OANDA:XAUUSD).
Bitcoin Symbol: Customize the Bitcoin ticker (default: BINANCE:BTCUSDT).
Lag (in trading days): Adjust the number of trading days to lag the Gold price relative to Bitcoin (default: 20).
Correlation Length (days): Set the number of days over which the rolling correlation is calculated (default: 50).
How to Use:
Price Comparison: The BTC (Spot) and Lagged Gold plots give you a side-by-side visual comparison of the two assets, normalized for clarity.
Correlation Line: The correlation line helps you gauge the strength and direction of the relationship between BTC and lagged Gold. Positive values indicate a strong positive correlation, while negative values indicate a negative correlation.
Visual Analysis: Watch how the correlation shifts with changes in lag and correlation length to identify potential market dynamics between Bitcoin and Gold.
Potential Applications:
Macro Trading: Track how Bitcoin and Gold behave in relation to each other during periods of economic uncertainty or inflation.
Sentiment Analysis: Use the correlation data to understand the sentiment between digital and traditional assets.
Strategic Timing: Identify potential opportunities where Bitcoin and Gold show a strong correlation or diverge based on the lag adjustment.
Understanding Macro Trends/Correlations.
Disclaimer:
This indicator is for informational purposes only. The correlation between Bitcoin and Gold does not guarantee future performance, and users should conduct their own research and use risk management strategies when making trading decisions.
Notes: This script uses historical data, so results may vary across different timeframes.
Customization options allow users to adjust the lag and correlation length to better fit their trading strategy.
Future Enhancements: Additional Correlation Line: A second correlation line for different lengths of lag or different assets.
Color-Coding of Correlation: Future updates may include color-coded correlation strength, visually indicating positive or negative correlation more effectively.
PRIME 2.0PRIME 2.0 — Precision Entry Tool
PRIME 2.0 is a smart price action-based indicator designed for intraday traders who want to catch high-probability moves during the London session. It uses a combination of market structure shifts (CHOCH – Change of Character) and session-based timing to identify potential entries.
🔍 Key Features:
Session-Based Logic: Activates after the London market opens, filtering noise from other sessions.
CHOCH Detection: Spots shifts in market structure by identifying crossover and crossunder of candle highs/lows.
Visual Entry Points: Plots real-time entry points based on structure change.
🧠 Who Is It For?
Scalpers and day traders
Traders who follow Smart Money Concepts (SMC)
Anyone looking to improve entry precision without clutter
⚠️ Disclaimer:
This indicator does not generate buy/sell signals or exit points. It is meant to be used as a tool within a broader trading strategy. Combine it with your own risk management and market knowledge for best results
Balancelink : Partition Function 1.0This script computes the partition function values 𝑝(𝑛) using Euler’s Pentagonal Number Theorem and displays them in a horizontally wrapped table directly on the chart. The partition function is a classic function in number theory that counts the number of ways an integer 𝑛 can be expressed as a sum of positive integers, disregarding the order of the summands.
Key Features
Efficient Calculation:
The script computes 𝑝(𝑛) for all orders from 0 up to a user-defined maximum (set by the "End Order" input). The recursive computation leverages Euler’s Pentagonal Number Theorem, ensuring the function is calculated correctly for each order.
Display Range Selection:
Users can select a specific range of orders (for example, from 𝑛 = 100 to 𝑛 = 200 to display.) This means you can focus on a particular segment of the partition function results without cluttering the chart.
Horizontally Wrapped Table:
The partition values are organized into a clean, horizontal table with a customizable number of columns per row (default is 20). When the number of values exceeds the maximum columns, the table automatically wraps onto a new set of rows for better readability.
Medium Text Size:
The table cells use a medium (normal) text size for easy viewing and clarity.
How to Use
Inputs:
Start Order (n): The starting index from which you want to display the partition function (default is 100).
End Order (n): The ending index up to which the partition function values will be displayed (default is 200).
Max Columns Per Row: Determines how many results are shown per row before wrapping to the next (default is 20).
Calculation:
The script calculates all 𝑝(𝑛) values from 0 up to the specified "End Order". It then extracts and displays only the values in the chosen range.
Visualization:
The computed values are shown in a neatly arranged table at the top right of your TradingView chart, making it simple to scroll through and inspect the partition function values.
Use Cases
Educational & Research:
Ideal for educators and students exploring concepts of integer partitions and number theory.
Data Analysis & Pattern Recognition:
Useful for those interested in the behavior and growth of partition numbers as 𝑛 increases.
Retirement Portfolio Dashboard1. Set It Up
Paste the script into the Pine Script editor in TradingView
Add to chart (use a daily chart for any TSX ticker)
Configure the inputs on the right panel:
Choose your ETF tickers (default: VFV, XAW, XIC)
Enter your target allocations (U.S., Global, Canada, Cash)
Set your current portfolio value and contribution plan
Adjust your expected return and rebalance trigger
📊 2. What It Tracks
💼 Allocation Overview
Target vs. actual % for each asset class
CAD value of each component
Performance YTD based on Jan 2nd start
Drift % to see how far each asset has deviated
📈 Growth Forecast
Future value projection with contributions
Weighted return (based on typical historical returns)
Inflation-adjusted real return (assuming 2% inflation)
⚠ Rebalancing
If any drift exceeds your set threshold (e.g., 5%), the script:
Highlights the issue in red
Displays "⚠ Rebalance Suggested"
Triggers a TradingView alert if you've activated it
🔔 3. Set Up Alerts
Go to Alerts > Create Alert
Choose your script from the dropdown
Under Condition, select "Rebalance Alert"
Choose your desired alert type (popup, email, webhook, etc.)
✅ 4. How to Use It Effectively
Task What to Do
Monitor allocations Check dashboard weekly or monthly
Spot imbalances Use Drift % and Status (green/red)
Forecast retirement growth Adjust contributions, return rate, and horizon
Prepare to rebalance Use alerts when drift > threshold
Tune assumptions Change expected returns or inflation rate as needed
💡 Tips
You can edit return assumptions (e.g., make Global equity more conservative)
Use this on a “blank” ticker (like TSX:XIC) so you don't overlay the chart
Copy values from your broker or retirement account to update real allocations
OverUnder Yield Spread🗺️ OverUnder is a structural regime visualizer , engineered to diagnose the shape, tone, and trajectory of the yield curve. Rather than signaling trades directly, it informs traders of the world they’re operating in. Yield curve steepening or flattening, normalizing or inverting — each regime reflects a macro pressure zone that impacts duration demand, liquidity conditions, and systemic risk appetite. OverUnder abstracts that complexity into a color-coded compression map, helping traders orient themselves before making risk decisions. Whether you’re in bonds, currencies, crypto, or equities, the regime matters — and OverUnder makes it visible.
🧠 Core Logic
Built to show the slope and intent of a selected rate pair, the OverUnder Yield Spread defaults to 🇺🇸US10Y-US2Y, but can just as easily compare global sovereign curves or even dislocated monetary systems. This value is continuously monitored and passed through a debounce filter to determine whether the curve is:
• Inverted, or
• Steepening
If the curve is flattening below zero: the world is bracing for contraction. Policy lags. Risk appetite deteriorates. Duration gets bid, but only as protection. Stocks and speculative assets suffer, regardless of positioning.
📍 Curve Regimes in Bull and Bear Contexts
• Flattening occurs when the short and long ends compress . In a bull regime, flattening may reflect long-end demand or fading growth expectations. In a bear regime, flattening often precedes or confirms central bank tightening.
• Steepening indicates expanding spread . In a bull context, this may signal healthy risk appetite or early expansion. In a bear or crisis context, it may reflect aggressive front-end cuts and dislocation between short- and long-term expectations.
• If the curve is steepening above zero: the world is rotating into early expansion. Risk assets behave constructively. Bond traders position for normalization. Equities and crypto begin trending higher on rising forward expectations.
🖐️ Dynamically Colored Spread Line Reflects 1 of 4 Regime States
• 🟢 Normal / Steepening — early expansion or reflation
• 🔵 Normal / Flattening — late-cycle or neutral slowdown
• 🟠 Inverted / Steepening — policy reversal or soft landing attempt
• 🔴 Inverted / Flattening — hard contraction, credit stress, policy lag
🍋 The Lemon Label
At every bar, an anchored label floats directly on the spread line. It displays the active regime (in plain English) and the precise spread in percent (or basis points, depending on resolution). Colored lemon yellow, neither green nor red, the label is always legible — a design choice to de-emphasize bias and center the data .
🎨 Fill Zones
These bands offer spatial, persistent views of macro compression or inversion depth.
• Blue fill appears above the zero line in normal (non-inverted) conditions
• Red fill appears below the zero line during inversion
🧪 Sample Reading: 1W chart of TLT
OverUnder reveals a multi-year arc of structural inversion and regime transition. From mid-2021 through late 2023, the spread remains decisively inverted, signaling persistent flattening and credit stress as bond prices trended sharply lower. This prolonged inversion aligns with a high-volatility phase in TLT, marked by lower highs and an accelerating downtrend, confirming policy lag and macro tightening conditions.
As of early 2025, the spread has crossed back above the zero baseline into a “Normal / Steepening” regime (annotated at +0.56%), suggesting a macro inflection point. Price action remains subdued, but the shift in yield structure may foreshadow a change in trend context — particularly if follow-through in steepening persists.
🎭 Different Traders Respond Differently:
• Bond traders monitor slope change to anticipate policy pivots or recession signals.
• Equity traders use regime shifts to time rotations, from growth into defense, or from contraction into reflation.
• Currency traders interpret curve steepening as yield compression or divergence depending on region.
• Crypto traders treat inversion as a liquidity vacuum — and steepening as an early-phase risk unlock.
🛡️ Can It Compare Different Bond Markets?
Yes — with caveats. The indicator can be used to compare distinct sovereign yield instruments, for example:
• 🇫🇷FR10Y vs 🇩🇪DE10Y - France vs Germany
• 🇯🇵JP10Y vs 🇺🇸US10Y - BoJ vs Fed policy curves
However:
🙈 This no longer visualizes the domestic yield curve, but rather the differential between rate expectations across regions
🙉 The interpretation of “inversion” changes — it reflects spread compression across nations , not within a domestic yield structure
🙊 Color regimes should then be viewed as relative rate positioning , not absolute curve health
🙋🏻 Example: OverUnder compares French vs German 10Y yields
1. 🇫🇷 Change the long-duration ticker to FR10Y
2. 🇩🇪 Set the short-duration ticker to DE10Y
3. 🤔 Interpret the result as: “How much higher is France’s long-term borrowing cost vs Germany’s?”
You’ll see steepening when the spread rises (France decoupling), flattening when the spread compresses (convergence), and inversions when Germany yields rise above France’s — historically rare and meaningful.
🧐 Suggested Use
OverUnder is not a signal engine — it’s a context map. Its value comes from situating any trade idea within the prevailing yield regime. Use it before entries, not after them.
• On the 1W timeframe, OverUnder excels as a macro overlay. Yield regime shifts unfold over quarters, not days. Weekly structure smooths out rate volatility and reveals the true curvature of policy response and liquidity pressure. Use this view to orient your portfolio, define directional bias, or confirm long-duration trend turns in assets like TLT, SPX, or BTC.
• On the 1D timeframe, the indicator becomes tactically useful — especially when aligning breakout setups or trend continuations with steepening or flattening transitions. Daily views can also identify early-stage regime cracks that may not yet be visible on the weekly.
• Avoid sub-daily use unless you’re anchoring a thesis already built on higher timeframe structure. The yield curve is a macro construct — it doesn’t oscillate cleanly at intraday speeds. Shorter views may offer clarity during event-driven spikes (like FOMC reactions), but they do not replace weekly context.
Ultimately, OverUnder helps you decide: What kind of world am I trading in? Use it to confirm macro context, avoid fighting the curve, and lean into trades aligned with the broader pressure regime.
Fair value and MOSShowing the fair value and margin of safety for a Stock.
Works best with 12 months timeframe.
The calculations are based on historical data for multiple years, up to 10 years.
You will see the following as numbers at the indicator line:
- Forward EPS Growth in %
- Forward PE Calculated
- Forward PE Estimated
The two lines will be shown in green if they are above the current price and in red if the price is bellow the lines.
- The upper line shows the fair value of the stock, calculated with 15% (or 4x in 10 years) expected EPS growth for your investment.
- The lower line shows the margin of safety, calculated at 50% of the fair value.
You can adjust the values at "Forward EPS Growth in %" and "Expected future PE" in order to show your fair price and the price with margin of safety.
Simple Fundamental Analysis Fundamental Analysis
This indicator provides comprehensive fundamental analysis directly on your chart, displaying key financial metrics in a color-coded table format. It goes beyond basic metrics by calculating fair value estimates and generating buy/sell signals based on overall fundamental health.
Key features:
14 essential fundamental metrics including EPS, P/E Ratio, PEG Ratio, and valuation ratios
Fair value calculation (PE × EPS) showing potential under/overvaluation
Value gap percentage to quickly identify investment opportunities
Color-coded values (green for healthy, red for concerning)
Automatic buy/sell/neutral signals based on overall fundamental analysis
Percentage rating showing the strength of buy/sell signals
This tool helps traders and investors make informed decisions based on fundamental data rather than just technical indicators. Perfect for value investors looking to identify fundamentally sound companies trading at attractive prices.
Disclaimer
This indicator is provided for informational and educational purposes only. The buy/sell signals and fundamental analysis presented are not investment advice or recommendations to buy, sell, or hold any security.
The financial data used is sourced from TradingView's database and may not always be current or accurate. Some metrics may be unavailable for certain stocks, which could affect the overall rating. Different industries have different norms for "good" metrics - what's healthy for one sector may not be for another.
The fair value calculation uses a standard PE ratio of 15, which may not be appropriate for all companies or industries. High-growth companies typically command higher multiples, while mature companies may trade at lower multiples.
Past performance is not indicative of future results. Always conduct your own research and consider consulting a financial advisor before making investment decisions.
Constant Valuation Multiple LevelsThis indicator adds price levels at constant multiples based on your preferred valuation metric. The settings provides options for setting this metric while Operational Income is the default one.
This indicator is not perfect as it relies on historical earnings data but does not have forecast data (not available in pinescript), thus its not a guide for future price level. It also does not account for "adjusted" earnings which may skew levels for some quarters.
However this script provides a quick way to see the stock price against your preferred valuation multiple to see if it's undervalued and worth investigating further for quality and earnings forecast.
Days Live CounterThis quite simply tracks how many days an asset has been on Trading View for.
The indicator calculates the day count based on the timestamp of the first visible bar in your current chart view. Since monthly charts generally load data from further back in time than daily or intraday charts, they'll show a larger day count.
This isn't a bug in the indicator - it's correctly counting the days from the first bar it can see in each timeframe.
BeSight Mega SpotBeSight Mega Spot – Zone Based Price Grid Indicator
สคริปต์นี้ถูกออกแบบมาเพื่อช่วยเทรดเดอร์มองเห็นโซนราคาสำคัญที่ราคาอาจเกิดปฏิกิริยา โดยอ้างอิงจากระดับราคาที่ลงท้ายด้วย 0 และ 5 (เช่น 1350, 1355, 1360 เป็นต้น) ซึ่งมักเป็นระดับที่มีการตั้งคำสั่งซื้อขายจำนวนมากในตลาด
BeSight Mega Spot – Zone-Based Price Grid Indicator
This indicator is designed to help traders visualize key price zones where the market often reacts, based on price levels ending with 0 or 5 (e.g., 1350, 1355, 1360). These levels are commonly used for pending orders, liquidity, or price clustering zones.
It displays horizontal grid lines at fixed step intervals (default: every 5 points), covering the entire visible price range of the chart. Each price level is labeled for better clarity and planning.
🟦 Blue lines: Price levels ending in 0
⬜ Gray lines: Price levels ending in 5
This tool is useful for identifying potential institutional behavior zones, price consolidation, accumulation/distribution areas, or psychological support/resistance levels.
🧠 Notes:
- This indicator is not a buy/sell signal tool or predictive system.
- It works best when used in conjunction with other technical tools such as Supply/Demand zones or Smart Money Concepts (SMC) analysis.
- Compatible with all instruments: stocks, futures, forex, crypto, etc.
✅ How to use:
1. Add the indicator to your chart
2. Observe how price interacts with the 0/5 grid zones
3. Use the lines to assist with breakout, retest, or reversal planning
4. Combine with price action or other indicators for higher precision
✨ Developed by BeSight – A Community Of Traders
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อินดิเคเตอร์นี้จะแสดงเส้นแนวนอนแบบตาราง (Grid) ที่แบ่งช่วงราคาออกเป็นระยะ ๆ ตามค่าที่ผู้ใช้กำหนด เช่น ทุก ๆ 5 จุด และครอบคลุมช่วงราคาทั้งหมดของกราฟ โดยแสดงเป็นเส้นแบบ dotted พร้อมป้ายราคาเพื่อให้มองเห็นได้ชัดเจน
🟦 เส้นสีน้ำเงิน: แสดงระดับราคาที่ลงท้ายด้วย 0
⬜ เส้นสีเทา: แสดงระดับราคาที่ลงท้ายด้วย 5
เหมาะสำหรับผู้ที่ต้องการดูโซนราคา "หยุดพัก / เก็บของ / เปิดโพซิชัน" ซึ่งอาจสะท้อนพฤติกรรมของผู้เล่นรายใหญ่หรือสถาบันในตลาด
🧠 ข้อควรรู้:
- อินดิเคเตอร์นี้ไม่ได้บอกจุดเข้าเทรดหรือการคาดการณ์ แต่ช่วยในการวางแผนแนวรับ-แนวต้านร่วมกับเครื่องมือวิเคราะห์อื่น ๆ
- รองรับทุกสินทรัพย์ที่มีหน่วยราคาคงที่ (หุ้น, ฟิวเจอร์ส, ฟอเร็กซ์, คริปโต ฯลฯ)
✅ วิธีใช้งาน:
1. เพิ่มอินดิเคเตอร์นี้ลงบนกราฟ
2. ใช้เส้น Grid เป็นแนวประกอบในการดูพฤติกรรมราคา เช่น การหยุดลง, การเบรกแนว, การกลับตัว
3. ผสมผสานกับโซน Demand/Supply หรือโซน SMC เพื่อความแม่นยำ
✨ พัฒนาโดย BeSight – คอมมูนิตี้ของเทรดเดอร์ตัวจริง
Buffett Indicator with Historical Bubbles (Clean)The Buffett Indicator is a trusted macroeconomic gauge that compares the total US stock market capitalization to the nation’s GDP. Popularized by Warren Buffett, this metric highlights periods of overvaluation and undervaluation in the market.
This tool offers a clean and accurate visualization of the Buffett Indicator, enhanced with historical bubble annotations for key market events:
Dot-com Bubble (2000)
Global Financial Crisis Peak (2007)
COVID-19 Pre-crash Peak (2020)
Post-COVID Bull Market Peak (2021)
Features:
Dynamic Buffett Ratio (%) calculation using Wilshire 5000 Index as the market cap proxy.
Customizable GDP input for accuracy (update quarterly).
Visual thresholds for fair value, undervaluation, and overvaluation zones.
Historical event markers for educational and analytical context.
Optimized to display clearly across all timeframes: Daily, Weekly, Monthly.
How to Use:
Manually update the GDP input as new data is released.
Use this indicator for macro-level market sentiment analysis and valuation tracking.
Combine with other tools and risk management strategies for comprehensive market insights.
Disclaimer:
This indicator is for educational purposes only. It does not constitute financial advice. Always perform your own research and analysis.
Version: 1.0
we ask Allah reconcile and repay
#BuffettIndicator #MarketValuation #MacroAnalysis #BubbleDetector #LongTermInvestor #USMarket #Wilshire5000 #TradingViewScript
The Silver Lining – GSR🍯 This tool converts the Gold/Silver Ratio (GSR) into a precision timing lens for short-term traders operating inside digital silver markets. It reveals structural dominance, trend exhaustion, and regime inflection by comparing the GSR to its smoothed baseline and historical percentile rhythm. On high timeframes (1D+), it reflects macroeconomic sentiment shifts 📈.
🧐 The lower the timeframe, the higher the alpha; the 15m and 1h charts are where you will the hidden pots of gold. For LTF traders, it becomes a hyper-responsive bias filter — especially when paired with volatility-based confirmation systems like SUPeR TReND 2.718, as shown.
🧠 The core logic compares the GSR (gold ÷ silver) against a user-defined moving average (VWMA or EMA). A color-coded fill shifts based on direction: amber when gold leads, teal when silver gains strength. Percentile bands (20th, 50th, 80th) map structural zones — helping traders anchor trades based on confluence, not hype.
📊 In the example chart, four theoretical long trades are shown on the 1h chart, manually drawn on the 15m timeframe. Each begins when the GSR reverses from the 80th percentile or breaks below its MA. The trades occur precisely as silver tested support, with confirmation from SUPeR TReND’s trend shift. Although idealized, these aren’t guesses — they are compression-to-expansion sequences backed by macro relative strength flow. Several yielded gains exceeding 4%.
🏆 Best-case long trades occur when GSR rotates down through the 50th percentile and silver catches a reactive bid. Shorts appear when GSR rises through the upper percentile band while silver fails to hold key intraday levels. The percentile bands function like behavioral tiers:
🥈 Below 20th = Silver Dominance
⚠️ Around 50th = Crossover Area
🥇 Above 80th = Gold Dominance
🥈 Why silver? It’s faster, more emotional, and more manipulated than gold — which paradoxically makes it more tradable on low timeframes. Its range-bound nature is ideal for rinse-and-repeat systems. Because we trade the derivative (XAGUSD), there’s no friction or delivery constraint — just price action, clean and liquid.
⚖️ The underlying strategy isn’t just technical; it’s alchemical. The system begins with short-term trading in digital silver and funnels gains into physical gold — converting volatility into wealth. Over time, this establishes a perpetual motion model: when profits allow, trade silver, extract value, cash out and convert into gold. The account stays active, and the hedge keeps growing.
🔁 The Silver Lining isn’t a signal engine. It’s a structural overlay. It tells you when the market’s invisible bias is shifting — so your tactics stay aligned with macro rhythm.
🌊 Silver moves fast. Gold moves first. The Silver Lining helps you bridge that gap — with clarity, confluence, and edge.
Risk-On vs Risk-Off Meter (Pro)Risk-On vs Risk-Off Meter (Pro)
This macro-based tool analyzes capital flows across key assets to gauge overall market risk sentiment. It does not use ES, SPY, or stock data directly—making it a powerful confirmation tool for ES traders looking to align with macro forces.
🔹 Core Idea:
Tracks capital rotation between copper/gold, bonds, dollar, crude oil, VIX, and yield spreads to generate a normalized risk score (0–1). This score reflects whether macro money is flowing into risk or safety.
🔹 Use:
Use this indicator as confirmation of directional bias when scalping or day trading ES.
– Green Zone (>0.75): Risk-On environment. Favor long setups.
– Red Zone (<0.45): Risk-Off. Favor short setups or stand aside.
– Yellow Zone: Neutral, use caution.
– Divergence Alerts: Signals when ES price disagrees with macro risk trend—potential reversals or exhaustion zones.
HOT TO USE
– Combine with your existing price action or order flow signals
– Avoid trading against the macro sentiment unless strong setup
– Use divergence as a heads-up for fading or exiting trades
This gives you a macro-informed lens to validate or filter your entries.
Risk-On / Risk-Off ScoreRisk-On / Risk-Off Score (Macro Sentiment Indicator)
This indicator calculates a custom Risk-On / Risk-Off Score to objectively assess the current market risk sentiment using a carefully selected basket of macroeconomic assets and intermarket relationships.
🧠 What does this indicator do?
The score is based on 14 key components grouped into three categories:
🟢 Risk-On Assets (rising = appetite for risk)
(+1 if performance over X days is positive, otherwise –1)
NASDAQ 100 (NAS100USD)
S&P 500 (SPX)
Bitcoin (BTCUSD)
Copper (HG1!)
WTI Crude Oil (CLK2025)
🔴 Risk-Off Assets (rising = flight to safety)
(–1 if performance is positive, otherwise +1)
Gold (XAUUSD)
US Treasury Bonds (TLT ETF) (TLT)
US Dollar Index (DXY)
USD/CHF
USD/JPY
US 10Y Yields (US10Y) (yields are interpreted inversely)
⚖️ Risk Spreads / Relative Indicators
(+1 if rising, –1 if falling)
Copper/Gold Ratio → HG1! / XAUUSD
NASDAQ/VIX Ratio → NAS100USD / VIX
HYG/TLT Ratio → HYG / TLT
📏 Score Calculation
Total score = sum of all components
Range: from –14 (extreme Risk-Off) to +14 (strong Risk-On)
Color-coded output:
🟢 Score > 2 = Risk-On
🟠 –2 to +2 = Neutral
🔴 Score < –2 = Risk-Off
Displayed as a line plot with background color and signal markers
🧪 Timeframe of analysis:
Default: 5 days (adjustable via input)
Calculated using Rate of Change (% change)
🧭 Use Cases:
Quickly assess macro sentiment
Filter for position sizing, hedging, or intraday bias
Especially useful for:
Swing traders
Day traders with macro filters
Volatility and options traders
📌 Note:
This is not a buy/sell signal indicator, but a contextual sentiment tool designed to help you stay aligned with overall market conditions.
Metatrader CalculatorThe “ Metatrader Calculator ” indicator calculates the position size, risk, and potential gain of a trade, taking into account the account balance, risk percentage, entry price, stop loss price, and risk/reward ratio. It supports the XAUUSD, XAGUSD, and BTCUSD pairs, automatically calculating the position size (in lots) based on these parameters. The calculation is displayed in a table on the chart, showing the lot size, loss in dollars, and potential gain based on the defined risk.
AltSeasonality - MTFAltSeason is more than a brief macro market cycle — it's a condition. This indicator helps traders identify when altcoins are gaining strength relative to Bitcoin dominance, allowing for more precise entries, exits, and trade selection across any timeframe.
The key for altcoin traders is that the lower the timeframe, the higher the alpha.
By tracking the TOTAL3/BTC.D ratio — a real-time measure of altcoin strength versus Bitcoin — this tool highlights when capital is rotating into or out of altcoins. It works as a bias filter, helping traders avoid low-conviction setups, especially in chop or during BTC-led conditions.
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It works well on the 1D chart to validate swing entries during strong altcoin expansion phases — especially when TOTAL3/BTC.D breaks out while BTCUSD consolidates.
On the 4H or 1D chart, rising TOTAL3/BTC.D + a breakout on your altcoin = high-conviction setup. If BTC is leading, fade the move or reduce size. Consider pairing with the Accumulation - Distribution Candles, optimized for the 1D (not shown).
🔍 Where this indicator really excels, however, is on the 1H and 15M charts, where short-term traders need fast bias confirmation before committing to a move. Designed for scalpers, intraday momentum traders, and tactical swing setups.
Use this indicator to confirm whether an altcoin breakout is supported by broad market flow — or likely to fail due to hidden BTC dominance pressure.
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🧠 How it works:
- TOTAL3 = market cap of altcoins (excl. BTC + ETH)
- BTC.D = Bitcoin dominance as % of total market cap
- TOTAL3 / BTC.D = a normalized measure of altcoin capital strength vs Bitcoin
- BTCUSD = trend baseline and comparison anchor
The indicator compares these forces side-by-side, using a normalized dual-line ribbon. There is intentionally no "smoothing".
When TOTAL3/BTC.D is leading, the ribbon shifts to an “altseason active” phase. When BTCUSD regains control, the ribbon flips back into BTC dominance — signaling defensive posture.
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💡 Strategy Example:
On the 1H chart, a crossover into altseason → check the 15M chart for confirmation. Consider adding the SUPeR TReND 2.718 for confirmation (not shown). If both align, you have trend + flow confluence. If BTCUSD is leading or ribbon is mixed, reduce exposure or wait for confirmation. Further confirmation via Volume breakouts in your specific coin.
⚙️ Features:
• MTF source selection (D, 1H, 15M)
• Normalized ribbon (TOTAL3/BTC.D vs BTCUSD)
• Cross-aware fill shading
• Custom color and transparency controls
• Optional crossover markers
• Midline + zone guides (0.2 / 0.5 / 0.8)
