Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
Фундаментальный анализ
Earnings CountdownAdd to a chart to show a text box with how long to next earnings.
Being updated to add functionality from original open source Pine script
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
PipGuard RollerPipPipGuard RollerPip – Confirmed Swing (H/L) Detector with Visual Guidance
Indicator published by PipGuard.
PipGuard RollerPip is a confirmed swing detector that plots H (swing high) and L (swing low) labels directly on the chart. It includes horizontal guides extending to the current candle and a compact legend showing the latest detected swing.
The logic is designed to identify true structural swings , filtering out market noise and ignoring minor fluctuations that lack technical relevance.
How it Works
• Detection Method (Non-Classical):
Unlike traditional 3-candle or fractal models (e.g., ICT-style structures), RollerPip employs a more refined process. It combines trend dynamics , movement amplitude , volume intensity , and closing behavior within a dynamic bar range .
This approach allows it to detect genuine structural swings moments where price exhaustion or continuation is confirmed while drastically reducing false signals.
• Labels and Guides:
Each confirmed swing generates an H (High) or L (Low) label with a progressive effect that softens over time.
Optional horizontal guides extend the swing level to the current candle, offering a clear visual anchor for ongoing analysis.
• Dynamic Legend:
A mini-legend updates in real-time, showing the most recent swing (H or L) for immediate context of the current market phase.
• Built-in Alerts (Focus):
Alerts trigger only on candle close when a new confirmed swing High or Low is detected.
Notifications automatically include symbol and timeframe , ensuring you never miss a key structural move , even when away from the chart.
How to Use
1. Add the script to your chart.
2. Observe the H/L labels to identify confirmed swing points.
3. Use the guides to maintain a visual reference up to the current bar.
4. Enable alerts (New Swing HIGH / LOW) to receive automatic notifications whenever a new swing is confirmed.
5. Integrate this information into your own technical workflow and risk management system.
EXAMPLE OF USE
EXAMPLE OF USE
Settings
• `Label Size` → Controls the size of H/L markers.
• `Swing → Current Candle Guides` → Enables or disables guide lines.
• `Maximum Guide Length (bars)` → Sets the extension of the visual reference.
• `Dashed Style` → Toggles between solid or dashed line style.
• Integrated Alerts: Two ready-to-use conditions ( New Swing HIGH / LOW ) with formatted messages (ticker + timeframe).
• All visual parameters are preconfigured to ensure a clean, consistent, and professional display.
Limitations
• Swings are confirmed on bar close they validate turning points but do not anticipate them.
• In low-volatility or sideways phases, more frequent swings may appear.
• Past performance does not guarantee future results .
Access
This script is available under invite-only access .
To request access, use the link provided in our Signature below this publication.
Note: This is a technical analysis tool designed to study price structure and movement. It does not constitute investment advice or imply guaranteed outcomes.
Indicator published by PipGuard.
Roboquant RP Profits NY Open Retest StrategyRoboquant RP Profits NY Open Retest Strategy A good strategy for CL
10 Moving Average ExponentialHaving the possibility to add multiple Moving Average Exponential up to 10 with one indicator
Macro Valuation Oscillator (MVO)Macro Valuation Oscillator (MVO) is a macro-relative-strength indicator that compares the current valuation of an asset against three key benchmarks: Gold, USD, and Bond. It helps visualize how the asset performs in relative macro terms over time.
When the MVO line for Gold (yellow) moves below the neutral zone (0), it reflects relative weakness against gold. When it rises above +80, it indicates relative strength or potential overheating compared to gold. The same concept applies to USD (blue) and Bond (purple) lines.
The indicator highlights macro-rotation behavior, showing periods when assets outperform (green) or underperform (red) in relative value. It is mainly intended for daily charts, providing a clear visual framework for assessing long-term macro relationships and timing within broader market cycles.
Sector Analysis [SS]Introducing the most powerful sector analysis tool/indicator available, to date, in Pine!
This is a whopper indicator, so be sure to read carefully to ensure you understand its applications and uses!
First of all, because this is a whopper, let's go over the key functional points of the indicator.
The indicator compares the 11 main sector ETFs against whichever ticker you are looking at.
The functions include the following:
Ability to pull technicals from the sectors, such as RSI, Stochastic and Z-Score;
Ability to look at the correlation of the sector ETF to the current ticker you are looking at.
Ability to calculate the R2 value between the ticker you are looking at and each sector.
The ability to run a Two Tailed T-Test against the log returns of the Ticker of interest and the Sector (to analyze statistically significant returns between sectors/tickers).
The ability to analyze the distribution of returns across all sector ETFs.
The ability to pull buying and selling volume across all sector ETFs.
The ability to create an integrated moving average using a sector ETF to predict the expected close range of a ticker of interest.
These are the highlight functions. Below, I will go more into them, what they mean and how to use them.
Pulling Technicals
This is pretty straight forward. You can pull technicals, such as RSI, Stochastic and Z-Score from all the sector ETFs and view them in a table.
See below for the example:
Pulling Correlation
In order to see which sector your ticker of interest follows more closely, we need to look first at correlation and then at R2.
The correlation will look at the immediate relationship over a specified time. A highly positive value, indicates a strong, symbiotic relationship, which the sector and the ticker follow each other. This would be represented by a correlation of 0.8 or higher.
A strong negative correlation, such as -0.8 or lower, indicates that the sector and the ticker are completely opposite. When one goes up, the other goes down and vice versa.
You can adjust your correlation assessment length directly in the settings menu:
If you want to use a sector ETF to find the expected range for a ticker of interest, it is important to locate the highest, POSITIVE, correlation value. Here are the results for MSFT at a correlation lookback of 200:
In this example, we can see the best relationship is with the ETF XLK.
Analysis of R2
R2 is an important metric. It essentially measures how much of the variance between 2 tickers are explained by a simple, linear relationship.
A high R2 means that a huge degree of variance can be explained between the 2 tickers. A low R2 means that it cannot and that the 2 tickers are likely not integrated or closely related.
In general, if you want to use the sector ETF to find the mean and trading range and identify over-valuation/over-extension and under-extension statistically, you need to see both a high correlation and a high R-Squared. These 2 metrics should be analyzed together.
Let's take a look at MSFT:
Here, despite the correlation implying that XLK was the ticker we should use to analyze, when we look at the R Squared, we see actually, we should be using XLI.
XLI has a strong positive relationship with MSFT, albeit a bit less than XLK, but the R2 is solid, > 0.9, indicating the XLI explains much of MSFT's variance.
Two Tailed T-Test
A two tailed T-test analyzes whether there is a statistically significant difference between 2 different groups, or in our case, tickers.
The T-Test is conducted on the log returns of the ticker of interest and the sector. You then can see the P value results, whether it is significant or not. Let's look at MSFT again:
Looking at this, we can see there is no statistically significant difference in returns between MSFT and any of the sectors.
We can also see the SMA of the log returns for more detailed comparison.
If we were to observe a significant finding on the T-Test metrics, this would indicate that one sector either outperforms or underperforms your ticker to a statistically significant degree! If you stumble upon this, you would check the average log returns to compare against the average returns of your ticker of interest, to see whether there is better performance or worse performance from the sector ETF vs. your ticker of interest.
Analyzing the Distribution
The indicator will also analyze the distribution of returns.
This is an interesting option as it can help you ascertain risk. Normally distributed returns imply mean reverting behavviour. Deviations from that imply trending behaviour with higher risk expectancy. If we look at the distribution statistics currently over the last 200 trading days, here are the results:
Here, we can see all show signs of trending, as none of the returns are normally distributed. The highest risk sectors are XLK and XLY.
Why are they the highest risk?
Because the indicator has found a heavy right tailed distribution, indicated sudden and erratic mean reversion/losses are possible.
Creating an MA
Now for the big bonus of the indicator!
The indicator can actually create a regression based range from closely correlated sectors, so you can see, in sectors that are strongly correlated to your ticker, whether your ticker is over-bought, oversold or has mean reverted.
Let's look at MSFT using XLI, our previously identified sector with a high correlation and high R2 value:
The results are pretty impressive.
You can see that MSFT has rode the mean of the sector on the daily timeframe for quite some time. Each time it over extended itself above the sector implied range, it mean reverted.
Currently, if you were to trade based on Pairs or statistics, MSFT is no trade as it is currently trading at its sector mean.
If you are a visual person, you can have the indicator plot the mean reversion points directly:
Green represents a bullish mean reversion and red a bearish mean reversion.
Concluding Remarks
If you like pair trading, following the link between sectors and tickers or want a more objective way to determine whether a ticker is over-bought or oversold, this indicator can help you.
In addition to doing this, the indicator can provide risk insights into different sectors by looking at the distribution, as well as identify under-performing sectors or tickers.
It can also shed light on sectors that may be technically over-bought or oversold by looking at Z-Score, stochastics and RSI.
Its a whopper and I really hope you find it helpful and useful!
Thanks everyone for reading and checking this out!
Safe trades!
RTPL(lite)RTPL(lite) — Free
Simple, powerful, no cost.
• Auto-detects Wave 5
• Shows TP target
• 400D EMA line
• Golden Cross alert
• Gaussian channel
Works on any chart. No subscription needed.
Full version ($109) → rtpl.gumroad.com/l/rtpl-plus
Sesiones Globales 🌍 Londres / Wall Street / Tokio / SydneyA clean visualization of the four main trading sessions — all shown in Argentina time (UTC−3) for easier global market tracking.
🕒 Sessions covered:
London 🇬🇧 — 05:00 to 13:30
Wall Street 🇺🇸 — 11:30 to 18:00
Tokyo 🇯🇵 — 21:00 to 03:00
Sydney 🇦🇺 — 20:00 to 02:00
✨ Features:
Soft background colors for each market session (non-intrusive and chart-friendly)
“OPEN” and “CLOSE” labels in matching session colors
Correct weekend handling — Tokyo and Sydney extend into early Saturday mornings (no false sessions shown)
Works on any asset — BTC, SP500, FX, or indices
Designed for dark charts and visual clarity
🎯 Why use it:
See where global liquidity overlaps, detect volatility zones, and plan your trades around real session activity — especially helpful for BTC and SP500 traders following institutional flow.
💡 Tip: All times are set to Argentina (UTC−3) by default. Adjust manually if you prefer another timezone.
VOODOORFVGS v1.1Voodoo Doors - Multi-Timeframe FVG & Range Analysis
Voodoo Doors is a comprehensive trading indicator designed to identify and track critical Fair Value Gaps (FVGs) and price ranges
across multiple timeframes. This powerful tool combines time-based FVG detection with Opening/Closing Range analysis to highlight
high-probability trading zones.
Key Features:
🚪 First Presented FVGs (FPVG)
Track up to 3 customizable FVGs that occur at specific times throughout the trading day:
- FPVG 1 (Default: 9:31 AM) - Early session gap detection
- FPVG 2 (Default: 1:31 PM) - Midday reversal zones
- FPVG 3 (Default: 6:15 AM) - Pre-market opportunities
Each FPVG includes:
- Historical tracking (up to 30 days)
- Age labels showing gap freshness
- Customizable fill colors, borders, and mid-lines
- Auto-extension to current bar
- Progressive transparency for older gaps
⚡ 15-Second Lower Timeframe FVGs
Precision intraday analysis during critical hours:
- 10am FVG - Morning volatility capture
- 11am FVG - Late morning momentum shifts
- Real-time detection using 15-second data
- Directional labels (↑/↓) for quick identification
📊 Opening Range (OR)
30-second precision Opening Range levels:
- Default: 9:30 AM market open
- High/Low and Equilibrium (EQ) levels
- Configurable historical tracking (up to 5 sessions)
- Price touch alerts available
- Extended or fixed-length projection
🔴 Closing Range (CR)
End-of-day price action analysis:
- Default: 3:59 PM (15:59)
- Captures final market positioning
- Independent styling from OR levels
- Optional extension into next session
🎯 Custom Range (CUR)
Flexible user-defined range detection:
- Any time, any timeframe
- Perfect for capturing specific news events
- Fully customizable colors and styles
- Alert functionality for level touches
Visual Customization:
Every element is fully customizable:
- Line styles: Solid, Dashed, Dotted
- Individual color controls for fills, borders, and mid-lines
- Adjustable transparency (0-100%)
- Line width controls
- Historical opacity settings
Professional Features:
✅ Non-repainting - all signals are final✅ Multi-timeframe support with automatic detection✅ Efficient array management for
historical data✅ Market session awareness (excludes weekends)✅ Optional information table showing global market open times✅ Alert
system for price touching key levels✅ Up to 500 drawing objects supported
Best Used For:
- ICT trading methodology (FVG mitigation)
- Range breakout/breakdown strategies
- Session transition trading
- Multi-timeframe confluence analysis
- Smart money tracking
Timezone:
Default UTC-4 (New York time) - fully adjustable in settings
Recommended Timeframes:
---
Note: This indicator uses lower timeframe data requests and requires TradingView Premium/Pro+ for full functionality.
Multi-Day SMAmade this script due to the frustration of not having the 5 day SMA added with the 10 20 and 50. I need the 5 SMA for my type of trading to determine when to sell with stocks showing exponential growth.
so heres this: Multi SMA
5 day SMA pink
10 day SMA white
20 day SMA blue
50 day SMA red
200 day SMA green
Crypto Futures Basis Tracker (Annualized)🧩 What is Basis Arbitrage
Basis arbitrage is a market-neutral trading strategy that exploits the price difference between a cryptocurrency’s spot and its futures markets.
When futures trade above spot (called contango), traders can buy spot and short futures, locking in a potential yield.
When futures trade below spot (backwardation), the reverse applies — short spot and go long futures.
The yield earned (or cost paid) by holding this position until expiry is called the basis. Expressing it as an annualized percentage allows comparison across different contract maturities.
⚙️ How the Indicator Works
This tool calculates the annualized basis for up to 10 cryptocurrency futures against a chosen spot price.
You select one spot symbol (e.g., BITSTAMP:BTCUSD) and up to 10 futures symbols (e.g., DERIBIT:BTCUSD07X2025, DERIBIT:BTCUSD14X2025, etc.).
The script automatically computes the days-to-expiry (DTE) and the annualized basis for each future.
A table displays for each contract: symbol, expiry date, DTE, last price, and annualized basis (%) — making it easy to compare the forward curve across maturities.
⚠️ Risks and Limitations
While basis arbitrage is often considered low-risk, it’s not risk-free:
Funding and financing costs can erode returns, especially when borrowing or using leverage.
Exchange or counterparty risk — if one leg of the trade fails (e.g., exchange default, margin liquidation), the hedge breaks.
Execution and timing risk — the basis can tighten or invert before both legs are opened.
Liquidity differences — thin futures may have large bid-ask spreads or slippage.
Use this indicator for analysis and monitoring, not as an automated trading signal.
Disclaimer: Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don't provide any financial advice.
Combined Trading IndicatorsThis indicator is a combination of EMAs (4 Editable EMAs), Quarterly Earnings, OOPs Reversal day, Burst Power Indicator, RS Rating, ADR% Settings and a few more to come.
Basically it is designed for swing traders who are using TradingView's Basic or Essential Program.
Please ignore the %Chg data in QE Table.
Kubera - ScorecardKubera - Scorecard helps you quickly assess a company’s financial strength and investment potential.
It combines key fundamental metrics — ROCE, ROE, ROIC, Debt-to-Equity, and WACC — to judge profitability, efficiency, and risk, presenting them with intuitive color-coded ratings and a final verdict.
The indicator also includes an RSI band and table for momentum insight, helping you spot fundamentally strong stocks with healthy technical setups.
Ideal for swing traders, investors, and beginners who want to identify quality companies at a glance.
Purchasing Power vs Gold, Stocks, Real Estate, BTC (1971 = 100)Visual comparison of U.S. dollar purchasing power versus major assets since 1971, when the U.S. ended the gold standard. Each asset is normalized to 100 in 1971, showing how real value has shifted across gold, real estate, stocks, and Bitcoin over time.
Source: FRED (CPIAUCSL, SP500, MSPUS) • OANDA (XAUUSD) • TradingView (INDEX:BTCUSD/BLX)
Visualization by 3xplain
Stablecoin Liquidity Delta v2 (Aggregate Market Cap Flow)Updated version of Stablecoin Liquidity Delta (Aggregate Market Cap Flow).
Hi All,
This indicator visualizes the bar-to-bar change in the aggregate market capitalization of major stablecoins, including USDT, USDC, DAI, and others. It serves as a proxy for monitoring on-chain liquidity and measuring capital inflows or outflows across the crypto market.
Stablecoins are the primary liquidity layer of the crypto economy. Their combined market capitalization acts as a mirror of the available fiat-denominated liquidity in digital markets:
🟩 An increase in the total stablecoin market capitalization indicates new issuance (capital entering the market).
🟥 A decrease reflects redemption or burning (liquidity exiting the system).
Tracking these flows helps anticipate macro-level liquidity trends that often lead overall market direction, providing context for broader price movements.
All values are derived from TradingView’s public CRYPTOCAP tickers, which represent the market capitalization of each stablecoin. While minor deviations can occur due to small price fluctuations around the $1 peg, these figures serve as a proxy for circulating supply and net issuance across the stablecoin ecosystem.
PO3LHGThe PO3 Dash is built for traders who want clear, confident direction — no confusion, no clutter.
It instantly shows you the trend, market phase, and session bias so you always know whether to ride the move or prepare for reversal setups.
I personally use it on the 1H, 45M, and 30M charts to stay in sync with the higher-timeframe trend, and the 15M to catch early flips and reversals before the crowd sees them.
Whether you’re trading London or New York, this dashboard keeps you locked in with structure — helping you follow momentum, time your entries, and avoid getting caught on the wrong side of the market.
🔥 Simple. Precise. Profitable. A clean visual edge for traders who move with purpose.
Stablecoin Liquidity Delta (Aggregate Market Cap Flow)Hi All,
This indicator visualizes the bar-to-bar change in the aggregate market capitalization of major stablecoins, including USDT, USDC, DAI, and others. It serves as a proxy for monitoring on-chain liquidity and measuring capital inflows or outflows across the crypto market.
Stablecoins are the primary liquidity layer of the crypto economy. Their combined market capitalization acts as a mirror of the available fiat-denominated liquidity in digital markets:
🟩 An increase in the total stablecoin market capitalization indicates new issuance (capital entering the market).
🟥 A decrease reflects redemption or burning (liquidity exiting the system).
Tracking these flows helps anticipate macro-level liquidity trends that often lead overall market direction, providing context for broader price movements.
All values are derived from TradingView’s public CRYPTOCAP tickers, which represent the market capitalization of each stablecoin. While minor deviations can occur due to small price fluctuations around the $1 peg, these figures serve as a proxy for circulating supply and net issuance across the stablecoin ecosystem.
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy)
Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients.
Summary in one paragraph
A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick.
Scope and intent
Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities.
Timeframes: calculation daily by default, trade on any chart.
Default demo: SPY on Daily.
Purpose: convert broad financial conditions into clear swing bias and exits.
Originality and usefulness
Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates.
Failure mode addressed: false starts in chop and early shorts during easy liquidity.
Testability: all knobs are inputs and the table shows components and weights.
Portable yardstick: z scores center at zero so thresholds transfer across symbols.
Method overview in plain language
Base measures
Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes.
Components
EQ US and EQ GLB measure equity tone.
CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score.
RATES2Y uses two year yield, sign flipped.
SLOPE uses ten minus two year yield spread.
USD uses DXY, sign flipped.
VOL uses VIX, sign flipped.
LIQ uses BIL over SPY, sign flipped.
Each component is smoothed by the composite EMA.
Fusion rule
Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one.
Signal rule
Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor.
Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter.
Long exit on cross down of the long exit line or on a fresh short signal.
Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard.
What you will see on the chart
Markers on suggestion bars: L for long, S for short, LX and SX for exits.
Reference lines at zero and soft regime bands at plus one and minus one.
Optional background gradient by regime intensity.
Compact table with component z, weight percent, and composite readout.
Table fields and quick reading guide
Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ.
Z: current standardized value, green for positive risk tone where applicable.
Weight: contribution percent after normalization.
Composite: current index value.
Reading tip: a broadly green Z column with slope positive often precedes better long context.
Inputs with guidance
Setup
Calc timeframe: default Daily. Leave blank to inherit chart.
Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns.
EMA smoothing: 1 to 200. Higher smooths noise and delays signals.
Normalization
Winsorize z at ±3: caps extremes to reduce one off shocks.
Return window for equities: 5 to 260. Shorter reacts faster.
Weighting
Weight lookback: 20 to 520.
Weight mode: Equal or InvVol.
InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more.
Signals
Trade side: Long Short or Both.
Entry threshold long and short: portable z thresholds.
Exit line long and short: soft exits that give back less.
Slope lookback bars: 1 to 20.
Always long floor bfci ≥ X: macro easy mode keep long.
Force short exit when bfci < Y: macro stress guard.
Confirm
Use price trend filter and Price SMA length.
View
Glow line and Show component table.
Symbols
SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed.
Realism and responsible publication
No performance claims. Past is not future.
Shapes can move intrabar and settle on close.
Execution is on standard candles only.
Honest limitations and failure modes
Major economic releases and illiquid sessions can break assumptions.
Very quiet regimes reduce contrast. Use longer windows or higher thresholds.
Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly.
Strategy notice
Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies.
Entries and exits
Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor.
Short rule: bfci cross below short threshold with negative slope and optional price filter.
Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard.
Position sizing
Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital
Commisions
We used a 0.05% comission and 5 tick slippage
Legal
Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Gold THB per Baht (XAU -> Thai baht gold)What it does
This indicator converts international gold prices (XAU) into Thai retail “baht gold” price (THB per 1 baht gold weight) in real time. It multiplies the XAU price (per troy ounce) by USD/THB and converts ounces to Thai baht-weight using the exact gram ratios.
Formula
THB per baht gold = XAU (USD/oz) × USDTHB × (15.244 / 31.1035) × (1 + Adjustment%) + FlatFeeTHB
1 troy ounce = 31.1035 g
1 Thai baht gold = 15.244 g
Conversion factor ≈ 0.490103
USD News Indicator by ModishThe USD News Indicator overlays arrows and labels on TradingView charts to mark key USD economic releases (e.g., NFP, CPI, PCE, FOMC) from Jan-Oct 2025, with red arrows for high-impact (e.g., CPI, NFP) and orange for medium (e.g., ISM PMI). The main purpose of the indicator is to show the impact of the news in different markets upon release and their movement. Customize via inputs: toggle news types (NFP, CPI, etc.), colors, and timezone display (global options like UTC, New York, Nairobi). A top-right table lists upcoming events with dates/times and impacts, auto-updating weekly based on hardcoded schedules.
EMA 20/50/100/200 Multi-Layer Trend Panel 📘 EMA 20/50/100/200 Multi-Layer Trend Panel
A clean and advanced trend structure analyzer designed to help traders monitor short-, medium-, and long-term market momentum simultaneously.
This indicator combines four key EMAs — 20, 50, 100, and 200 — with visual clouds, dynamic color coding, crossover labels, and a powerful real-time summary panel.
🔍 How It Works
Each EMA line changes color depending on its slope direction
→ Green tone = uptrend, Red tone = downtrend.
Detects and labels important crossovers automatically:
20/50 GC → Short-term bullish shift (Golden Cross).
50/200 GC → Long-term strong bullish breakout.
DC labels indicate Death Cross or bearish reversals.
Cloud zones between EMAs visualize the interaction between short- and long-term trends.
A compact top-right panel displays each EMA’s current value, slope direction, and overall trend alignment status (BULL / BEAR / MIXED).
⚙️ Advantages
✅ Tracks trend structure on multiple layers (short → medium → long).
✅ Highlights momentum shifts using dynamic EMA slope coloring.
✅ Provides early visual warnings of trend reversals (GC/DC).
✅ Clean, minimal panel offers an instant multi-EMA overview.
✅ Compatible with multi-timeframe (MTF) analysis — view higher-TF EMAs within lower charts.
✅ Optional bar and background coloring makes trend zones easy to interpret.
💡 Pro Tips
On higher timeframes (1D / 4H), the 50/200 cross defines the macro market direction.
On lower timeframes (5m – 15m), the 20/50 cross helps refine entry timing.
When the panel shows
→ Aligned BULL (20>50>100>200) → Strong trending condition.
→ Mixed → Ranging or transition phase.
Combine with volume or RSI for confluence in entry/exit decisions.
🧭 Purpose
This indicator aims to simplify complex market structure into an elegant, color-coded system — allowing traders to stay aligned with the dominant trend while spotting early reversals across multiple time horizons.
🧩 Ideal For
Swing & position traders confirming long-term bias.
Intraday traders aligning entries with higher-TF EMAs.
Strategy developers seeking multi-EMA trend filters.
Anyone who wants a clean, informative, and unobtrusive visual trend dashboard.
⚠️ Notes
The script supports optional MTF (multi-timeframe) mode — use carefully, as MTF data may repaint during incomplete bars.
No trading system is perfect; always combine with your personal strategy and proper risk management.






















