Entry + TP + SL Box (dynamic )The purpose of creating this indicator is to quickly draw the entry price range box, price target box, and price loss box.
Penunjuk Pine Scriptยฎ
Analisis Fundamental
Auto Pivot Entry SL TPDescription:
The Auto Pivot Entry SL TP indicator automatically detects Pivot Highs and Pivot Lows to generate precise BUY and SELL trade setups.
When a Pivot Low forms, a BUY setup is displayed with Entry, Stop Loss, and multiple Take Profit (TP1โTP3) levels.
When a Pivot High forms, a SELL setup is displayed with Entry, Stop Loss, and multiple Take Profit (TP1โTP3) levels.
Key Features:
Automatic detection of pivots for trade entries.
Clear visualization of Entry, SL, and TP levels directly on the chart.
Flexible Risk-Reward ratio settings for customizable targets.
Works on all symbols and timeframes.
This tool is designed for traders who want a simple yet effective method to plan trades using price action pivot points combined with predefined risk management (SL & TP levels).
Penunjuk Pine Scriptยฎ
60 ์ ์ ๊ฐ ์โ60-Day New Low Shortโ is a momentum breakdown setup that sells short when price prints a fresh 60-day low, betting that failed support will extend the downtrend.
Entries are usually taken on the breakdown close (or next open) with confirmation like rising volume, relative weakness, and price below the 50/200-day MAs.
Manage risk with a stop above the recent swing high or 20-day high; take profits via ATR-based targets or a trailing stop, and avoid trades near major catalysts (earnings/news).
Penunjuk Pine Scriptยฎ
123Scalp-AHTDetector de patrones con confirmaciรณn para scalping.
Identifica Hammer/Shooting Star, Engulfing, Morning/Evening Star y Doji. Genera BUY/SELL con Entry/SL/TP (1R/1.5R/2R), opciรณn 1-bar exit, filtro EMA, y alertas. Render Classic o Anchored (ABS) anclado al precio. No repinta tras la confirmaciรณn; pensado para intradรญa/scalping.
Scalp Pattern Signals โ fast pattern/confirmation for intraday.
Detects Hammer/Shooting Star, Engulfing, Morning/Evening Star, and Doji. Produces BUY/SELL with Entry/SL/TP (1R/1.5R/2R), optional 1-bar exit, EMA trend filter, and alerts. Choose Classic or Anchored (ABS) rendering (anchored to price). No repaint after confirmation; built for scalping/intraday.
Penunjuk Pine Scriptยฎ
Multi-Asset Trend Background [SwissAlgo]Multi-Asset Trend Background
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Purpose
This indicator colors the chart background green (uptrend) or red (downtrend) to show the broad phases of a selected asset or ratio (for example SP500, or Gold), regardless of the current ticker on the chart (for example BTC).
The aim is not to generate signals, but to show when the selected asset (such as SP500 or Gold) was in a sustained uptrend or downtrend, so you can compare another chart (for example BTC) against that backdrop.
It helps frame price action in context, highlighting how macro drivers often align with or diverge from other markets.
From mid-2016 to late-2017, the SP500 was in a clear uptrend โ Bitcoin rallied strongly in the same period, showing alignment between equities and crypto risk-taking.
When Gold trended higher, the SP500 often weakened, reflecting their tendency to move inversely in longer cycles.
As HYG/TLT turned down in early 2020, QQQ also struggled โ illustrating how credit risk appetite is linked to equity performance.
During periods of DXY strength, Gold frequently showed the opposite trend, consistent with the historical dollarโgold relationship.
When RSP/SPY trended down, rallies in the S&P 500 were driven by a narrow group of large-cap stocks, while a rising ratio indicated broad market participation.
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Why it May Help You
Provides context for asset correlations.
Helps identify whether a chart is moving with or against its macro environment.
Useful for cycle mapping and historical study of market phases.
Filters noise and emphasizes established trends rather than short swings.
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How it Works
You select an asset or ratio from a dropdown.
The script calculates a mid-term moving average, then measures its slope, slope change, and slope acceleration to quantify the trendโs direction and consistency.
A longer-term moving average filter defines whether the long-term backdrop is bullish or bearish.
Background Coloring rules:
Green = slope strongly positive in line with long-term uptrend, or downtrend showing constructive reversal signs.
Red = slope strongly negative in line with long-term downtrend, or uptrend showing weakening slope.
No shading = neutral or mixed conditions.
This slope-based approach avoids the limitations of simple MA crosses, aiming to capture broad, consistent trend phases across different assets, with a mid/long-term view.
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Assets You Can Select
EQUITIES โ good reference to gauge risk appetite in financial markets
SP500 = broad benchmark. Uptrend = strength in US equities signalling risk-on conditions; downtrend = weakness, risk-off market phase.
NASDAQ = tech and growth stocks. Uptrend = technology/growth leadership, risk appetite; downtrend = tech underperformance and fading risk appetite.
DOW = industrial and value stocks. Uptrend = industrial/value strength/economic strength; downtrend = weakness in traditional sectors and potential economic downturn.
RUSSELL2000 = small caps. Uptrend = typical in risk-on environments and FOMO; downtrend = small-cap underperformance, "flight to safety".
COMMODITIES โ proxies for inflation, industry, and safe-haven demand.
GOLD = safe-haven. Uptrend = defensive demand rising/risk-off/inflation fears; downtrend = weaker demand for safety.
SILVER = partly industrial, partly safe-haven. Uptrend = stronger industrial cycle, or precious metals demand and risk appetite.
COPPER = industrial barometer. Uptrend = stronger industrial activity; downtrend = economic slowdown concerns.
CRUDE OIL = energy prices. Uptrend = rising energy/inflation pressures; downtrend = weaker demand or supply relief.
NATURAL GAS = volatile energy prices. Uptrend = higher energy costs and inflation pressure; downtrend = easing energy conditions.
BONDS / FX โ monetary policy, credit, and risk appetite signals.
TLT = long-term US bonds. Uptrend = falling yields (bond demand)/flight to safety; downtrend = rising yields (risk on)
HYG = high-yield credit. Uptrend = strong credit appetite; downtrend = risk aversion in credit markets.
DXY = US dollar index. Uptrend = dollar strength (weaker EUR, GBP, SEK, etc); downtrend = dollar weakness.
USDJPY = carry trade proxy. Uptrend = stronger USD vs JPY (risk appetite); downtrend = JPY strength (risk-off).
CHFUSD = Swiss franc. Uptrend = franc strength (defensive flow); downtrend = franc weakness.
YIELD INVERSION = US10YโUS02Y. Uptrend = curve steepening; downtrend = inversion deepening (higher recession risk).
HOME BUILDERS = US housing sector. Uptrend = housing sector strength (risk on); downtrend = weakness (risk off).
EURUSD = euro vs dollar. Uptrend = euro strength (risk appetite); downtrend = euro weakness (risk aversion).
CRYPTO โ digital asset benchmarks.
BITCOIN = digital gold. Uptrend = BTC strength; downtrend = BTC weakness.
CRYPTO_TOTAL = entire crypto market cap. Uptrend = broad crypto growth; downtrend = contraction.
CRYPTO_ALTS = altcoin market cap. Uptrend = altcoin expansion (often โalt seasonโ); downtrend = contraction.
RATIOS โ relative measures to extract macro signals.
COPPER/BTC = compares industrial cycle vs Bitcoin cycle. Uptrend = copper outperforming BTC; downtrend = BTC outperforming copper. Seems aligned with BTC macro tops and bottoms in the mid/long run.
RSP/SPY = market breadth (equal-weight vs cap-weighted). Uptrend = strong broad participation in market growth; downtrend = narrow leadership (fewer stocks leading the growth).
PCE/CPI = Fedโs inflation measure (PCE) vs consumer perceived inflation (CPI). Uptrend = PCE rising faster than CPI; downtrend = CPI running hotter than PCE. Fluctuates around 1; values above 1 may indicate hawkish Fed stands, values < 1 may indicate more dovish Fed stands.
HYG/TLT = credit vs bonds. Uptrend = risk appetite (high-yield outperforming long-term
treasury bonds); downtrend = risk aversion.
GOLD/SILVER = defensive vs cyclical metals. Uptrend = gold outperforming (risk-off tilt); downtrend = silver outperforming (risk-on tilt).
EURUSD/BTC = fiat vs crypto. Uptrend = EUR strengthening vs BTC; downtrend = BTC strengthening vs EUR. In general, the BTC trend is aligned EUR/USD trend.
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Limitations
Trend detection may lag by design to reduce noise.
Ratios rely on the availability and session rules of their components.
Background colors update on bar close; intra-bar values may differ.
Parameters are fixed and may not suit all assets equally.
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Disclaimer
This script is for educational and research purposes only. It does not provide financial advice or trade recommendations. Historical trend alignment does not guarantee future outcomes. Use with additional independent analysis.
Penunjuk Pine Scriptยฎ
Future 8 AM MarkerThis simple script marks the 8:00 AM New York open on the chart each day. Itโs especially useful in Replay Mode to track price reactions and practice setups around this key time.
Penunjuk Pine Scriptยฎ
Mykung's Financial Table (Revenue, EPS, Net margin)A compact fundamentals dashboard that displays the last **8 fiscal quarters** for the current symbol. Itโs designed for clarity (minimal decimals) and flexible presentation, with a dynamic column layout and accurate quarter labels.
## What it shows
**Columns (left โ right):**
`Quarter | Revenue | YoY % | QoQ % | EPS | YoY % | QoQ % | `
* **Quarter** โ formatted as `YYYY Q#` (e.g., `2025 Q2`).
Labels are derived from **fiscal period end dates** for accuracy.
* **Revenue** โ compact notation (K/M/B/T), **no decimals**.
* **EPS** โ uses **Diluted EPS** by default and falls back to **Basic EPS** if Diluted is unavailable. Displayed with **2 decimals**.
* **Net Margin** โ displayed with **1 decimal**.
*Note:* Its YoY/QoQ columns represent **percentage-point** changes (absolute differences), not relative percent changes.
* **YoY % and QoQ %** โ shown as **integers** (no decimals). Positive values are colored green; negative values red.
## Key features
* **Accurate quarter labels** from fundamentals (`FISCAL_PERIOD_END_DATE` โ fallback `FINANCIAL_END_TIME`).
* **Dynamic layout:**
* Show all 10 columns (include Net Margin group), or
* Hide Net Margin to render a **7-column** table automatically.
* **Row order:** **Oldest at top โ Latest at bottom** (chronological reading).
* **Customization:**
* Table position (nine presets: corners/centers).
* Text size.
* Table background color.
* **Header colors** (text & background) โ also applied to the **Quarter** column cells for visual grouping.
* **Body text color** for data cells.
## Inputs (Settings)
* **Table Position** โ place the table anywhere on the chart.
* **Text Size** โ auto/tiny/small/normal/large/huge.
* **Table Background** โ overall table BG color.
* **Header Background Color** โ header & Quarter column background.
* **Header Text Color** โ header & Quarter column text color.
* **Body Text Color** โ data cells text color.
* **Show Net Margin Group (Cols 7โ9)** โ toggle between 10-col or 7-col layout.
## Calculations
* **QoQ %** = $(Current โ Previous) / |Previous|$ ร 100
* **YoY %** = $(Current โ 4Q Ago) / |4Q Ago|$ ร 100
* **Net Margin YoY / QoQ** = **difference in percentage points** (e.g., 12.4% โ 10.9% = โ1.5pp)
## Notes & limitations
* Requires symbols with **quarterly fundamentals** on TradingView. If a field is unavailable, it shows **N/A**.
* Fundamentals are updated by TradingView; values may refresh after earnings filings.
* Works on any chart timeframe; data comes from **fundamentals**, not price bars.
* Colors are indicative only and not investment advice.
**Built for readability**: minimal decimals (EPS 2dp, Net Margin 1dp), integer percentages, and compact revenue formattingโso you can scan eight quarters at a glance.
Penunjuk Pine Scriptยฎ
Big Moโs Glaskugel โ Macro Drawdown Risk (v1.1.2)What it does / what you see
An at-a-glance drawdown-risk oscillator that blends several macro US signals.
โข A smooth, color-blended line (greenโorangeโred) shows the scaled risk score (0โ100).
โข Subtle shading marks โre-steepen warning windowsโ (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down).
โข A compact status table summarizes: overall risk level, Yield Curve (10yโ3m), Credit Stress (Baaโ10y), Economy (LEI), and Valuation (CAPE).
Data used & why
Yield Curve (10yโ3m) โ FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns.
Credit Stress โ FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions.
Economy (LEI) โ ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration.
Valuation (CAPE) โ SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk.
VIX spikes โ optional boost that recognizes sudden risk repricings.
Important disclaimer
This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong.
That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past.
Key customization / tweaks
Weights for each component (Yield, Credit, LEI, VIX, CAPE).
Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels.
Re-steepen boost: enable/disable, base points, half-life decay.
Shading behavior: cool-down bars to โunwarn,โ max warning duration, only shade when risk โ green.
Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds.
Status table: position, and a snapshot mode to view values at a chosen historical time.
Penunjuk Pine Scriptยฎ
The Debasement IndexOVERVIEW
The Debasement Index measures asset prices relative to monetary debasement, providing a currency-neutral view of underlying economic fundamentals. Unlike traditional inflation metrics, it captures the sole impact of money supply expansion on asset valuations across different monetary regimes.
Key Innovation: Divides any asset by the ratio of Broad Money Supply (M2/M3) to Real GDP, reducing the impact of excess money creation on asset prices.
HOW IT WORKS
โข Input 1: Select any symbol/asset for analysis (default: close price)
โข Region: Choose country/currency for debasement calculation
โข Display: Purple line overlay on main chart
Formula: Asset Price รท Debasement Index
i.e.
Formula: Asset Price รท (Money Supply / Real Output / last result (to rebased the index))
The indicator calculates neutralised security prices for each supported region:
โข Numerator: M2/M3 money supply data
โข Denominator: Real GDP (inflation-adjusted economic output)
โข Number: rebases the index to the last updated value of the selected security
Supported Regions: US, UK etc. (regions may change based on availability)
DATA SOURCES
FRED (Federal Reserve Economic Data), TradingView Economics data feeds
INTERPRETATION
Rising Ratio: Asset outperforming monetary debasement (genuine value creation)
Falling Ratio: Asset underperforming relative to currency dilution (fundamental value loss)
Trend Analysis: Long-term slopes reveal whether assets maintain purchasing power against monetary expansion
The purple line represents the performance of the selected security after filtering out monetary noise, exposing fundamental economic trends that raw prices often obscure.
Take special note that most indices do not provide the total return, and the total return is necessary to understand actual value gains and losses.
APPLICATIONS
โข Asset Allocation: Compare real returns across different monetary environments
โข Cross-Country Analysis: Evaluate assets in countries with varying monetary policies
โข Regime Identification: Spot asset price transitions that raw price measurements might obfuscate
โข Value Assessment: Distinguish between monetary-driven and fundamental price movements
THEORETICAL FOUNDATION
Inspired by Anna Schwartz's monetary framework, the index attempts to measure currency dilution and remove that impact on the selected asset prices. It is a systematic attempt to filter out โmonetary noiseโ from financial data. The index addresses limitations of traditional inflation measures by:
1. Using real GDP (not nominal) to avoid circular causation of money creation
2. Capturing asset price effects beyond goods and services
3. Providing regime-aware analysis across monetary systems
LIMITATIONS
โข Requires reliable M2/M3 and GDP data (scope and quality vary by country)
โข Rebasing factors need periodic adjustment
โข Most effective for medium to long-term analysis
โข Not suitable for short-term trading signals
Note: This indicator reveals trends rather than providing entry/exit signals. Combining debasement-adjusted indices with comprehensive fundamental analysis can reframe and enhance your insights, providing a more complete understanding of price developments over time.
Penunjuk Pine Scriptยฎ
NQโ2Y CorrelationThis indicator tracks the relationship between the Nasdaq futures (NQ) and the US 2-Year Treasury yield (US02Y). The two typically move in opposite directions. This tool highlights when that relationship breaks down, and when moves become stretched to extremes. This can be useful for traders to find inflection points in price representing either overbought or oversold extremes.
Key Features
Residual Z-Score: Shows how far NQโs returns deviate from what would be expected given moves in the 2Y. Useful for spotting stretched conditions (+/- 2ฯ bands).
Correlation Tracking: Fast and slow correlations between NQ and inverted 2Y returns. Helps identify regime shifts in the relationship.
Same-Direction Signals: Green dots mark when NQ and 2Y both move strongly in the same direction (rare alignment). Red dots mark strong opposing moves.
Alerts: Triggers available for residual stretches, correlation flips, and significant same-direction or opposite moves.
Usage
Monitor Z-Score to identify when the equityโrates linkage is stretched beyond typical bounds. I typically use this on the H1 or H4 timeframe.
Watch for correlation regime shifts to spot changing market dynamics. Typically price falling into support or moving into resistance as there is a false correlation or a flip.
Same-direction dots help flag unusual synchronized moves between risk assets and yields - these are especially useful for identifying false moves.
Penunjuk Pine Scriptยฎ
FX 2Y Spread AutoWhat it does
Plots the 2-year government bond yield spread for the current FX pair and timeframe youโre viewing.
Spread = Yield(Base currency) โ Yield(Quote currency), shown in percentage points (pp).
How it works
Display & own scale
If you overlay it on price, pin the indicator to its own scale so it doesnโt flatten against the FX price scale.
Where to find it: Hover the indicatorโs label, click More (โฏ) โ Pin to scale โ choose Left or Right.
Automatically maps each currency to its 2Y benchmark:
USDโUS02Y, EURโDE02Y, CADโCA02Y, CHFโCH02Y, GBPโGB02Y, AUDโAU02Y, NZDโNZ02Y, JPYโJP02Y
(EUR is represented by Germanyโs 2Y Schatz: DE02Y.)
Pulls yields from TVC: symbols (e.g., TVC:US02Y, TVC:DE02Y) using the chartโs timeframe.
Many yield series are daily; on intraday charts the script forward-fills the last daily value so you always see a continuous line.
Interpretation (rule of thumb)
Spread โ (Base yields rising relative to Quote) โ supports pair up (base currency appreciation).
Spread โ โ supports pair down.
Short-end spreads (2Y) mainly reflect policy expectations; price can still diverge short-term due to risk sentiment, commodities (e.g., oil for CAD), positioning, or different maturities driving the move.
Examples
EURUSD โ DE02Y โ US02Y
USDJPY โ US02Y โ JP02Y
EURCAD โ DE02Y โ CA02Y
โ ๏ธ Disclaimer
This indicator is for informational and analytical purposes only. It does not constitute financial advice, a trading signal, or a guarantee of future performance. Always perform your own research and consult with a qualified financial advisor before making trading decisions.
Penunjuk Pine Scriptยฎ
Beta Zones [MMT]Beta Zones
Overview
The Beta Zones indicator is a multi-timeframe analysis tool designed to identify and visualize price ranges (zones) across different timeframes on a TradingView chart. It draws boxes to represent high and low price levels for each enabled timeframe, helping traders spot key support and resistance zones, track price movements, and assess market signals relative to these zones. The indicator is highly customizable, allowing users to toggle timeframes, adjust colors, and control historical visibility.
Features
Multi-Timeframe Support : Tracks up to five user-defined timeframes (default: 15m, 1H, 4H, 1D, 1W) to display price zones.
Dynamic Price Boxes : Draws boxes on the chart to represent the high and low prices for each timeframe, updating dynamically as new bars form.
Signal Indicators : Provides directional signals (โฒ, โผ, โ) based on the previous close relative to the current box's top and bottom.
Customizable Display : Includes options to show or hide historical boxes, adjust box colors, and configure a summary table.
Summary Table : Displays a table with timeframe status, price range, and signal information for quick reference.
Settings
Timeframes
Enable/Disable : Toggle each timeframe (e.g., 15m, 1H, 4H, 1D, 1W) to display or hide its respective zones.
Timeframe Selection : Choose custom timeframes for each of the five slots.
Color Customization : Set unique fill and border colors for each timeframe's boxes (default colors: green, blue, orange, purple, red).
Display
Max Historical Boxes : Limit the number of historical boxes per timeframe (default: 1, max: 50).
Show History : Toggle visibility of historical boxes (default: false, showing only the latest box).
Min Box Height : Ensures boxes have a minimum height in ticks (default: 1.0, currently hardcoded).
Table
Show Table : Enable or disable the summary table (default: true).
Background Color : Customize the table's background color.
Header Color : Set the color for the table's header row.
Text Color : Adjust the text color for table content.
Table Columns
Timeframe : Displays the selected timeframe (e.g., 15m, 1H).
Color : Shows the color associated with the timeframe's boxes.
Status : Indicates if the timeframe is "Active" (valid and lower than the chart's timeframe), "Invalid" (enabled but not lower), or "Disabled".
Range : Shows the price range (high - low) of the current box.
Signal : Displays โฒ (price above box), โผ (price below box), or โ (price within box) based on the previous close.
How to Use
Add to Chart : Apply the indicator to your TradingView chart.
Configure Timeframes : Enable desired timeframes and adjust their settings (e.g., 15m, 1H) to match your trading strategy.
Analyze Zones : Use the boxes to identify key price levels for support, resistance, or breakout opportunities.
Monitor Signals : Check the table's "Signal" column to gauge price direction relative to each timeframe's zone.
Customize Appearance : Adjust colors and historical box visibility to suit your preferences.
Ideal For
Swing Traders : Identify key price zones across multiple timeframes for entry/exit points.
Day Traders : Monitor short-term price movements relative to higher timeframe zones.
Technical Analysts : Combine with other indicators to confirm support/resistance levels.
Penunjuk Pine Scriptยฎ
MSMT _ Position Size CalculatorFor apes who don't wanna do math. This is a position size calculator in USD value. You enter how much you want to risk per trade in dollars. It automatically shows your USD position size, in real time on the candle your watching or the previous candle position.
Penunjuk Pine Scriptยฎ
Economic Profit (Fixed & Labeled) โ Rated + PeersFRAC (Fundamental-Rated-Asset-Calculate)
FRAC is a fundamentals-driven tool designed to measure whether a company is creating or destroying shareholder value. Unlike surface ratios, FRAC uses Economic Profit (ROIC โ WACC) as its engine, showing whether a business truly outperforms its cost of capital.
๐น What FRAC Does
Calculates ROIC (Return on Invested Capital) vs. WACC (Weighted Average Cost of Capital).
Shows whether a company is creating or destroying shareholder value.
Uses tiered color coding for clarity:
๐ต Superior (Aqua Blue) โ Top tier; best of the best.
๐ฃ Elite (Purple) โ Strong value creation.
๐ข Positive (Green) โ Solid, creating shareholder value.
๐ก Marginal (Yellow) โ Barely covering cost of capital.
๐ด Negative (Red) โ Value destruction.
๐น Composite Ranking System (1โ4)
FRAC also assigns each company a Composite Rank so you can compare multiple names side by side. The rank works like this:
Rank 1 โ Superior (๐ต Aqua Blue)
Best possible rating; wide gap between ROIC and WACC.
Rank 2 โ Elite (๐ฃ Purple)
Strongly positive; above-average capital efficiency.
Rank 3 โ Positive (๐ข Green)
Creating value but only moderately; not a top compounder.
Rank 4 โ Marginal/Negative (๐ก/๐ด)
Weak or destructive; either barely covering WACC or losing money on capital.
โ
How to Use the Ranks
When comparing a set of peers (e.g., NVDA, AMD, INTC):
FRAC will display each companyโs color rating + composite rank (1โ4).
You can instantly see who is strongest vs. weakest in the group.
Best decisions = overweight Rank 1 & 2 companies, avoid Rank 4 names.
๐น Key Inputs Explained
Risk-Free Asset โ Typically the 10-Year US Treasury yield (US10Y).
Corporate Tax Rate โ Effective tax rate for the companyโs country (e.g., USCTR).
Expected Market Return โ Historical average ~8โ10%, adjustable.
Beta Lookback Period โ Controls how far back Beta is calculated (longer = more stable, shorter = more reactive).
๐ These must be set correctly for FRAC to calculate WACC accurately.
๐น Example Comparison
NVDA: ROIC 25% โ WACC 7% = +18% โ ๐ต Superior โ Rank 1
AMD: ROIC 17% โ WACC 8% = +9% โ ๐ฃ Elite โ Rank 2
INTC: ROIC 11% โ WACC 9% = +2% โ ๐ข Positive โ Rank 3
FSLY: ROIC 5% โ WACC 10% = โ5% โ ๐ด Negative โ Rank 4
๐น Why It Matters
Buffett said: โThe best businesses are those that can consistently generate returns on capital above their cost of capital.โ
FRAC turns that into a visual + numeric rating system (1โ4), making comparisons across peers simple and actionable.
๐น Credit
FRAC was created by Hunter Hammond (Elite x FineFir), inspired by corporate finance models of Economic Profit and Economic Value Added (EVA).
โ ๏ธ Disclaimer: FRAC is a research framework, not financial advice. Always pair with full due diligence.
Penunjuk Pine Scriptยฎ
RoyalGold TRW Indicator | Oxford+ (Adaptive)Update version of the original Oxford with some new features and new updates
Penunjuk Pine Scriptยฎ
A best Seasonality Monthly IndicatorSeasonality Monthly is a custom indicator designed for TradingView that calculates and displays monthly seasonality performance as a table overlay on the chart.
Key aspects and functionality:
It requires the timeframe to be either monthly or daily; otherwise, it throws an error.
The user can set the starting year (default 2015) from which the seasonality statistics begin.
It collects monthly percentage change data (close to close returns) for each month and year dynamically using request.security.
Data is stored in a two-dimensional matrix representing years by months, accumulating returns for each month over the years.
The table is drawn on the chart showing monthly returns for each year, with cells colored green for positive returns and red for negatives.
The bottom rows of the table show summary statistics per month:
AVG: Average monthly returns
SUM: Sum of returns
+ive: Count of months with positive returns over total counts
WR: Win rate (ratio of positive months)
Text sizes and colors are customizable via inputs.
Uses Pine Script v5 features like matrix, table API, and new runtime error handling.
This script is useful for visualizing historical monthly seasonality patterns for any symbol on TradingView.
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The Seasonality Monthly Pine Script indicator is a powerful tool designed for TradingView that enables traders to analyze and visualize the historical seasonal performance of an asset on a monthly basis. This script focuses on identifying recurring monthly patterns by accumulating monthly percentage returns over multiple years, providing insights that help traders understand when certain months tend to perform better or worse historically.
The script requires the chart to be set to either a daily or monthly timeframe to ensure accurate calculations and data retrieval. It uses the request. security function to fetch monthly data, extracting each bar's year, month, and monthly price change percent based on close-to-close returns. These returns are then accumulated into a matrix data structure, organizing the percentage changes for each year and month to build a comprehensive historical dataset.
A dynamic table is constructed and displayed on the chart, showing a detailed breakdown of percentage changes each month for every year starting from a customizable start year (default is 2015). Each cell in the table is color-codedโgreen for positive monthly returns and red for negativeโmaking it visually easy to interpret seasonal trends. This immediate visual feedback is valuable for traders looking to identify strong or weak months historically.
Beyond just the yearly data, the script calculates aggregate statistics for each month, which are displayed in summary rows at the bottom of the table. These include the average monthly return, the sum of returns, the count of positive-return months versus total months ("+ive"), and the win rate (WR), which is the proportion of positive months over the total number of months observed. These statistics assist traders in quantifying the strength and consistency of monthly seasonal effects.
The script also includes user customization options such as the starting year for seasonality analysis and adjustable text size for better readability. It incorporates modern Pine Script v5 features like runtime error handling, matrix operations, and the enhanced table API for efficient and clear display.
Overall, This is a practical indicator that helps traders incorporate seasonality insights into their decision-making process, potentially improving timing entries and exits by leveraging historical monthly market behaviors. It is particularly useful for spotting cyclic tendencies and planning strategies around historically strong or weak months, adding a valuable dimension to technical analysis.
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US Liquidity-Weighted Business Cycle๐ BTC Liquidity-Weighted Business Cycle
This indicator models the Bitcoin macro cycle by comparing its logarithmic price against a log-transformed liquidity proxy (e.g., US M2 Money Supply). It helps visualize cyclical tops and bottoms by measuring the relative expansion of Bitcoin price versus fiat liquidity.
๐ง How It Works:
Transforms both BTC and M2 using natural logarithms.
Computes a liquidity ratio: log(BTC) โ log(M2) (i.e., log(BTC/M2)).
Runs MACD on this ratio to extract business cycle momentum.
Plots:
๐ด Histogram bars showing cyclical growth or contraction.
๐ข Top line to track the relative price-to-liquidity trend.
๐ด Cycle peak markers to flag historical market tops.
โ๏ธ Inputs:
Adjustable MACD lengths
Toggle for liquidity trend line overlay
๐ Use Cases:
Identifying macro cycle tops and bottoms
Timing long-term Bitcoin accumulation or de-risking
Confirming global liquidity's influence on BTC price movement
Note: This version currently uses US M2 (FRED:M2SL) as the liquidity base. You can easily expand it with other global M2 sources or adjust the weights.
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NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a visual trading HUD for Nasdaq 100 (NQ) futures. It helps traders quickly track key setup elements: session & previous day levels, 5M FVG, retests, 1M MSS, and 1M FVG inside MSS.
Each step can be manually ticked, and a Trade Score shows setup strength at a glance. The checklist table sits on top of all chart elements for easy reference without interfering with your analysis.
Features:
Step-by-step NQ trading checklist
Manual inputs with visual โ
/โ
Trade Score for quick setup confirmation
Table overlay always on top of the chart
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Earnings & Fundamentals TableShows the Earnings Comparison and Other important data. Will keep updating
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Credit Spread Alpha SignalCredit Spread Alpha Signal: Complete Description
Introduction and Purpose
The Credit Spread Alpha Signal is a custom indicator developed for TradingView, designed to monitor the credit spread between High Yield (HY) bond yields and the 10-Year US Treasury yield (US10Y). This indicator serves as an advanced macroeconomic tool for traders and investors, helping to identify shifts in risk sentiment, monetary policy adjustments, or financial stress in the economy. It combines credit market data with statistical analysis to generate inverted buy and sell signals, where wider spreads (deteriorated conditions) are seen as buy opportunities (green), and tight spreads (risk-on) as sell opportunities (red).
The script is original, inspired by macroeconomic concepts, and visualizes data intuitively with histograms, background colors, and signal arrows. It is particularly useful for portfolio traders seeking confirmation signals or early warnings, integrating seamlessly into charts of stocks, bonds, or crypto assets.
Key Concepts
- HY Spread : Calculated as the difference between the High Yield Corporate Effective Yield (symbol: BAMLH0A0HYM2EY) and the US10Y Yield. Wider spreads indicate higher credit risk and economic deterioration (buy opportunity in the inverted logic). Tight spreads reflect market optimism (risk-on, sell opportunity).
- Inverted Signal Logic : Unlike traditional interpretation, here widening spreads (stress) trigger green and buy arrows (โ below the chart), suggesting entry into long positions during panics. Compressing spreads trigger red and sell arrows (โ above the chart), indicating exit during optimism peaks.
- Visual Highlights : Green for spread > +2.2ฯ (financial stress, buy); Red for spread < low threshold (risk-on, sell); Optional orange for recession risk (inverted curve + high spread, strong buy).
The indicator uses statistics like simple moving average (SMA) and standard deviation for dynamic thresholds, making it adaptable to different market periods.
How It Works: Internal Calculations
1. Data Sources : Uses `request.security` to fetch daily data ("D") from US10Y, US02Y (for inverted curve), and HY Yield.
2. Spread Calculation : `spread_hy = hy_yield - us10y`.
3. Statistics :
- Average (SMA) of the spread over the last `sma_length` days (default: 120).
- Standard deviation (stdev) over the same period.
- High threshold: `avg_spread_hy + std_mult * std_spread_hy` (default: multiplier 2.2).
- Low threshold: Editable value (default: 1.5%).
4. Conditions :
- High stress (green/buy): `spread_hy > high_threshold`.
- Compression (red/sell): `spread_hy < low_threshold`.
- Recession risk (orange/strong buy, optional): Inverted curve (`us10y < us2y`) + spread > `recession_spread_threshold`.
5. Crossings for Signals :
- Buy (green โ below): Crossover above high threshold (`ta.crossover`).
- Sell (red โ above): Crossunder below low threshold (`ta.crossunder`).
These calculations are processed bar by bar, ensuring real-time updates.
Visual Elements
- Histogram : Plots the spread as columns (`plot.style_columns`), dynamically colored: Light green (90% transparency) for stress/buy; Light red (90%) for compression/sell; Gray for neutral; Orange for recession.
- Reference Line : Horizontal red line at zero for benchmark.
- Background Coloring : Applies color to the main chart (overlay=true via force_overlay): Light green for buy, Light red for sell, Orange for recession, no color for neutral.
- Signal Arrows : โ Green below the bar for buy (widening_cross); โ Red above the bar for sell (compressed_cross).
- Floating Legend : Label in the lower panel explaining thresholds and conditions, dynamically updated with editable values.
Editable Settings (Inputs)
- SMA Period (days) : Default 120; adjusts the horizon for average and standard deviation.
- Standard Deviation Multiplier : Default 2.2; sets sensitivity of the high threshold (e.g., 2.2ฯ for moderate alerts).
- Low Threshold for Compression (%) : Default 1.5; level to detect risk-on/sell.
- Enable Recession Risk? : Default false; activates combined condition of inverted curve + high spread.
- Spread Threshold for Recession (%) : Default 2.0; level for recession (visible if enabled).
These inputs allow customization via the TradingView interface, without editing the code.
Integrated Alerts
The indicator includes alert conditions (`alertcondition`) for notifications in TradingView:
- "ALERT: HY Spread High": Spread exceeds threshold - financial stress (Buy).
- "ALERT: HY Spread Compressed": Spread compressed - risk-on conditions (Sell).
- "ALERT: HY Spread Widening (Buy)": Crossover above - buy opportunity in stress.
- "ALERT: HY Spread Compressed (Sell)": Crossunder below - sell opportunity in risk-on.
- "ALERT: Recession Risk (Strong Buy)": Inverted curve + high spread - high recession risk, consider buy (if enabled).
Set up alerts for email, SMS, or webhook notifications.
Usage Tips and Considerations
- Recommended Timeframe : Daily ("D"), but works on others; data is forced to daily for consistency.
- Practical Application : Add to charts of indices like SPY or QQQ to correlate with market moves. Test on historical periods (e.g., 2020 for widening, 2021 for compressing) to validate signals.
- Limitations : Relies on external data (US10Y, HY Yield), which may have delays; spreads are typically positive. Not financial advice โ use with complementary analysis.
- Advanced Customization : Adjust thresholds for volatile markets; enable recession for more robust macro signals.
This indicator transforms credit data into actionable alpha, helping navigate economic cycles with visual precision. For support or modifications, refer to the source code or TradingView community.
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EMA Vision โ MTF InsightEMA Calculation Timeframe: Compute the EMA on any timeframe (e.g. Chart, 1H, 4H, 1D) while viewing on your chartโs timeframe.
Confirmed or โDevelopingโ EMA: Choose between plotting EMA values only after the higher timeframe bar closes (no repaint) or allowing real-time updates mid-bar, mirroring the โWait for timeframe closesโ behavior.
Clean Multi-TF Overlays: Visualize EMAs from up to three higher timeframes (1H, 4H, 1D) on any chartโeach using native plots to stay anchored and accurate, just like built-in EMAs.
Optional Visual Smoothing Line: Add a secondary โsmoothingโ MA line (using SMA, EMA, SMMA, WMA, or VWMA) without altering the core EMAโkeeps you visually aligned with built-in styling.
Superior Accuracy: No repainting, no misalignmentโjust clean EMA values that reflect exactly what youโd see in TradingViewโs standard EMA with the same settings.
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Quarterly Theory โQ1,Q2,Q3,Q4The Quarterly Theory Indicator is a trading tool designed to visualize the natural time-based cycles of the market, based on the principles of Quarterly Theory, popularized by the Inner Circle Trader (ICT). The indicator divides market sessions into four equal โquartersโ to help traders identify potential accumulation, manipulation, and distribution phases (AMD model) and improve the timing of entries and exits.
Key Features:
Quarter Divisions (Q1โQ4):
Each market session (e.g., NY AM, London, Asia) is divided into four quarters.
Vertical lines mark the beginning of each quarter, making it easy to track session structure.
Optional labels show Q1, Q2, Q3, and Q4 directly on the chart.
True Open (Q2 Open):
The True Open is the opening price of Q2, considered a key reference point in Quarterly Theory.
A horizontal red line is drawn at the True Open price with a label showing the exact value.
This line helps traders filter bullish and bearish setups:
Buy below the True Open if the market is bullish.
Sell above the True Open if the market is bearish.
Session Awareness:
The indicator can automatically detect market sessions and reset lines and labels for each new session.
Ensures that only the current sessionโs True Open and quarter lines are displayed, reducing chart clutter.
Timeframe Flexibility:
Works on any chart timeframe (1-minute to daily).
Maintains accurate alignment of quarters and True Open regardless of the timeframe used.
Purpose of Quarterly Theory:
Quarterly Theory is based on the idea that market behavior is fractal and time-driven. By dividing sessions into four quarters, traders can anticipate potential market phases:
Q1: Initial price discovery and setup for the session.
Q2: Accumulation or manipulation phase, where the True Open is established.
Q3: Manipulation or Judas Swing phase designed to trap traders.
Q4: Distribution or trend continuation/reversal.
By visualizing these quarters and the True Open, traders can reduce ambiguity, identify high-probability setups, and improve their timing in line with the ICT AMD (Accumulation, Manipulation, Distribution) framework.
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