Mac Sessions High And Low v.1This indicator is mainly for session highs and lows
Just a easy way to see if price sweeps a sessions high or low
Analisis Fundamental
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.
Live P&L IndicatorThis script gives you a simple, no-nonsense way to see your live profit and loss right on your chart. It stays fixed in the center (slightly offset for balance), updating automatically as price moves — so you always know where you stand without checking your account tab.
You can manually set your entry, clear it, or let the script freeze once your take-profit target is hit — perfect for keeping emotions in check when the trade’s already done its job.
Everything’s built to look clean and professional — no clutter, no distractions, just a sleek overlay.
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
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.
Replicating the Larsson Line - Blackscrum IT ConsultingI don't think this will be exactly the Larsson Line, but it seems to be close enough, it tells the story of what is happening in the charts and if you combine it with my fear and greed indicator - you can search for Blackscrum to find it, combine the two and you'll get a good look into the charts.
Nothing is provided with warranty, we all want to do better so check it out and see if its useful for you. www.blackscrum.com.au
Blackscrum.com.au Fear and Greed IndicatorI created this to measure fear and greed and use it in my trading. It actually seems to work quite well. If you like it, check out my website. www.blackscrum.com.au and lets chat about IT for your business.
Apebox COTversion 0.1, pine script 6
dependency: Tradingview cotlib/4
shows the Commitments of Traders (COT) **legacy** report data as published by the CFTC, in absolute value or as a percentage of the OI.
A simple tool, mostly untested.
CB Spot v BN Futs Premium by Chop324Coinbase Spot vs Binance Futures Premium Tracker
What This Indicator Does:
This indicator automatically tracks the price premium or discount between Coinbase spot prices and Binance perpetual futures for any cryptocurrency you're viewing. It works dynamically with whatever ticker you load it on - no manual configuration needed.
How It Works:
The script extracts the base currency from your current chart (BTC, ETH, SOL, etc.) and automatically constructs the corresponding tickers:
Coinbase Spot: COINBASE: USD
Binance Perpetual Futures: BINANCE: USDT.P
It then calculates the simple price difference: Coinbase Spot - Binance Futures
Visual Display:
The premium/discount is plotted as a histogram:
Green columns: Coinbase trading at a premium (higher than Binance)
Red columns: Coinbase trading at a discount (lower than Binance)
Baseline at 0: Represents price parity between exchanges
Why This Matters:
Coinbase premium is a useful market sentiment indicator, particularly for institutional/US retail activity:
Positive premium: Often indicates strong US-based buying pressure
Negative premium: May suggest selling pressure or capital flowing to offshore exchanges
Extreme deviations: Can signal localized supply/demand imbalances or arbitrage opportunities
Usage:
Simply load the indicator on any crypto chart (BTCUSDT, ETHUSDT, SOLUSDT, etc.) and it will automatically display the premium/discount for that asset.
Note: Requires both Coinbase spot and Binance perpetual futures data to be available for the symbol you're viewing.
[R-XIII] Adaptive Momentum Signal(AMS) Adaptive Momentum Signal (AMS) is a momentum-based signal engine designed to identify potential turning zones by detecting structural shifts in price behavior. It works across crypto, futures, FX, equities and index markets, suitable for both intraday and swing systems.
Key features:
Momentum shift detection, not based on trend-following or pattern recognition
Two operating modes: realtime signal or close-confirmed filter
Automatic visual zone highlight for fast decision support
Alert-ready, compatible with automated or discretionary setups
Can be paired with MA filters, volatility models or risk modules
Usage notes:
A signal marks a possible local high or low, not a complete trading system
Extreme or strongly trending markets require additional filtering or risk control
Best used as an entry/exit optimization layer rather than a standalone strategy
Ideal for:
Reversal timing, scaling exits, entry confirmation logic
Replacing subjective market judgment with structured signals
Enhancing existing algos with momentum-based location awareness
Disclaimer: This tool is for technical analysis only, not financial advice. Use with appropriate risk management.
Adaptive Momentum Signal(AMS)是一套基于动态动能结构构建的信号系统,用于识别市场关键转折区间,并在价格动能发生变化时标记潜在高点或低点。适用于加密货币、期货、外汇、美股及指数市场,可用于日内与波段策略。
系统特点:
结构化动能识别,不依赖传统趋势或形态判断
支持实时信号与收盘确认两种模式
自动高亮潜在反转区域,信号可视化清晰
内置警报,可搭配自动化执行或人工观察
可与趋势过滤、均线、风控模块自由组合
使用说明:
信号仅代表阶段性高低点的可能性,不建议完全依赖单一指标下单
极端行情或持续单边趋势中,需要结合过滤条件、仓位控制或手动确认
建议作为“进出场辅助模块”用于策略优化,而非完整交易系统替代品
适用场景:
反转策略、短线切换、止盈止损优化
筛除主观判断,提高进出场一致性
为已有策略加入“动能位置过滤”能力
适合量化开发者、程序化交易者与手动交易者
免责声明:本工具仅为技术分析辅助,不构成投资建议。任何交易决策请自行承担风险。
Moz Halal IndicatorThis indicator displays "halal" for stocks it knows are halal and "not sure" for others on top right corner of the chart
Printing Money by MMFPrinting Money by Mathurin M
Smart money concepts Multi-Timeframe Gold Trading Playbook"
*Identifies institutional liquidity zones, detects Break of Structure (BOS), Change of Character (CHoCH), and provides precise entry/exit signals. Optimized for Gold trading across 1H, 15M, and 5M timeframes with built-in risk management.
Multi-Timeframe Optimization
1H Chart: 20-bar lookback for bias and major swing points
15M Chart: 10-bar lookback for structure refinement
5M Chart: 5-bar lookback for precise entries
Automatically adjusts based on your selection
Smart Money Concepts
Liquidity Zones: Identifies areas where institutional orders accumulate
Break of Structure (BOS): Detects when price breaks key pivot levels
Change of Character (CHoCH): Flags major trend reversals
Retest Entries: Signals optimal entry points after breaks
Trade Management System
Entry Signals: "ENTRY (long/short)" labels at retest zones
Scale/TP Points: "SCALE/TP1" prompts for position management
Risk Calculator: Shows dollar risk per micro contract based on stop loss
Visual
Colored Zones: Red (resistance) and teal (support) liquidity areas
Bias Indicator: Green/red background with bias label (Bullish/Bearish)
Dynamic Lines: Dashed pivot levels that extend in real-time
Zone Expiration: Automatic cleanup of old zones to reduce clutter
M2 Global by CoinMetrikaThe M2 Global Money supply chart from CoinMetrika contains many additional settings.
The indicator is used on the BTC 1D chart on any exchange.
A shift by any number of bars is available. For example, the BTC and M2 correlation index from Coinbase uses a 110-day shift. You can use the same shift or an arbitrary one.
M2 graph smoothing is also available to eliminate noise.
In addition, the composition of the M2 Global by CoinMetrika index is configurable. You can disable the continent or state in the settings so that the index is built without taking it into account.
Reddington SOL/ETH Scalp Reddington Sol/Eth Scalp
Type: Indicator (manual trading helper, Pine v5)
Markets: Crypto futures (recommended: SOLUSDT Perp, ETHUSDT Perp)
Timeframes: 3–5 minutes
Style: Minimalist visual (triangles only) + static table with all levels
What it does
A clean intraday signal tool that locates VWAP pullback entries aligned with higher-timeframe trend and micro-trend quality.
On chart, it draws only entry triangles on the signal bar:
LONG: green triangle at high + 1×ATR
SHORT: red triangle at low − 1×ATR
All actionable numbers live in a static table (top-right):
Signal (LONG/SHORT)
Entry (TVH)
SL
TP1 (optional)
TP2 (main target)
RR (live while in trade; after exit shows last realized RR)
Signals/day (daily signal count)
When no position is open, cells are blank (except Signals/day and the last RR).
Signal logic (high level)
HTF Trend Agreement
EMA200 (1h) and EMA50 (15m) via request.security w/ lookahead_off.
Local Trigger
Price crosses VWAP in trend direction + EMA(5) vs EMA(9) confirmation.
Quality Filters
ATR/volatility band, Volume (SMA20), ADX threshold (micro-trend strength).
Sessions
EU + US windows enabled by default (UTC; configurable).
Anti-Overtrading
Cooldown after SL, daily caps for losers and total signals.
Default behavior: signals are confirmed on bar close (recommended). You may toggle intrabar confirmation in inputs, but use with caution.
How to trade it (manual process)
Timeframe: 3–5m
Symbols: SOL/ETH perpetuals (or other liquid pairs after tuning)
Wait for the triangle on the signal bar.
Read the table’s Entry (TVH): that’s your reference entry (default = close of the signal bar; or VWAP if VWAP-limit is enabled).
SL/TP levels in the table update automatically:
SL = Entry ± ATR × multiplier
TP2 = Entry ± ATR × multiplier
TP1 = 0.5 × TP2 (optional)
Manage risk per your plan (fixed % risk per trade recommended).
Use the RR line to assess reward vs risk; after exit, table keeps the last realized RR.
Respect cooldown and daily caps to avoid revenge trades.
Inputs (key settings)
Mode: Conservative / Balanced / Aggressive (presets for ADX, ATR multipliers, cooldown, daily caps)
Manual Override: customize any parameter on top of the preset
Sessions (UTC): EU window, US window toggles
ADX: period, min threshold
ATR: period; multipliers for SL and TP2; TP1 = 0.5×TP2 toggle
Anti-Overtrading: cooldown bars after SL; max losers/day; max signals/day
Execution:
Confirm on bar close (recommended ON)
VWAP-limit entry (maker idea; reduces slippage but fewer fills)
Alerts: enable + choose “only on bar close” if desired
Alerts (alertcondition)
This indicator provides alert conditions for:
ENTRY LONG
ENTRY SHORT
TP1
TP2
SL
Tip: Run alerts on bar close to avoid intrabar noise. Use your preferred routing to bots/notifications.
Recommended presets (Balanced mode, 3–5m)
SOL (SOLUSDT Perp)
3m
ADX: period 14, min 18–20
ATR: period 14 → SL = ATR × 0.70, TP2 = ATR × 0.90, TP1 = 0.5×TP2 (on)
Sessions: EU 08:00–16:00, US 13:30–20:30 (on)
Anti-overtrading: cooldown 3 bars; max losers/day 2; max signals/day 6
Execution: confirm on close = on; VWAP-limit = on
5m
ADX min ≈ 18, SL = ×0.75, TP2 = ×0.95
ETH (ETHUSDT Perp)
3m
ADX: period 14, min 18–20 (18 often enough on ETH)
ATR: period 14 → SL = ×0.65–0.70, TP2 = ×0.95–1.10 (start at 1.00; go 1.10 in strong trends)
TP1: optional (can be off for faster scalps)
Sessions: EU 08:00–16:00, US 13:30–20:30 (on)
Anti-overtrading: cooldown 3 bars; max losers/day 2; max signals/day 6
Execution: confirm on close = on; VWAP-limit = on
5m
SL = ×0.70, TP2 = ×1.00, ADX min ≈ 18
Day-to-day tweaks
High volatility: raise SL (SOL 0.80 / ETH 0.75), trim TP2 by ~0.05–0.10
Strong trends: increase TP2 by +0.10; keep VWAP-limit on
Flat market: raise ADX min by +2; reduce max signals/day
Pre-session checklist
3m/5m + Balanced preset
EU+US sessions on
SL×ATR / TP2×ATR / ADX min match current volatility
Confirm on close ON; VWAP-limit ON if you prefer maker entries
Cooldown & daily caps set
Repainting/behavior notes
Uses request.security(..., lookahead_off) and bar-close confirmation by default.
No repainting after bar close. If you disable “confirm on close,” intrabar triangles may appear/disappear—use with caution.
This is an indicator, not a strategy; it does not model fills/fees/leverage.
Limitations
Designed for manual trading; not an auto-execution system.
Filters may skip long flat/noisy periods — this is intended to preserve quality.
Performance depends on instrument behavior and your execution/risk rules.
Always forward-test on replay/paper before going live.
Disclaimer (for TradingView publication)
Educational tool only — not financial advice.
Futures and margin trading carry a high level of risk and may not be suitable for all investors. You can lose more than your initial investment. Past performance does not guarantee future results. The author and this script do not provide investment, legal, tax, or financial advice and shall not be liable for any loss or damage arising from the use of this indicator or reliance on the information provided. By using this script, you acknowledge that you are solely responsible for your trading decisions. Always do your own research and test on replay/paper before live trading.
COT Report IndexTradix COT Report Index is a premium sentiment indicator developed by Tradix, designed to visualize institutional positioning from the Commitment of Traders (COT) data published weekly by the CFTC.
It reveals how Commercials, Large Speculators, and Retail Traders are positioned in the market and transforms raw COT data into a clean, normalized 0–100 index. This makes it easy to identify whether a market is in a bullish, neutral, or bearish zone.
Use the Tradix COT Report Index to:
Spot institutional market extremes and potential reversals
Confirm sentiment trends across different asset classes
Time high-probability swing entries when institutional positioning shifts
📊 Best for: swing traders, macro analysts, and anyone looking to combine price action with institutional sentiment.
💡 Developed by the Tradix team
Pristine Adaptive Alpha ScreenerThe Pristine Adaptive Alpha Screener allows users to screen for all of the trading signals embedded in our premium suite of TradingView tools🏆
▪ Pristine Value Areas & MGI
▪ Pristine Fundamental Analysis
▪ Pristine Volume Analysis
💠 Signals Overview
▪ HVY(highest volume in a year) -> Featured in Pristine Volume Analysis
▪ Trend Template -> Inspired by Mark Minervini's famous trend filters
▪ Rule of 100 -> Metrics from Pristine Fundamental Analysis
▪ Bullish 80% Rule -> Featured in Pristine Value Areas & MGI
▪ Bearish 80% Rule -> Featured in Pristine Value Areas & MGI
▪ Break Above VAH -> Featured in Pristine Value Areas & MGI
▪ Break Below VAL -> Featured in Pristine Value Areas & MGI
💠 Signals Decoded
▪ HVY(highest volume in a year)
Volume is an important metric to track when trading, because abnormally high volume tends to occur when a new trend is kicking off, or when an established trend is hitting a climax. Screen for HVY to quickly curate every stock that meets this condition
▪ Trend Template
Mark Minervini's gift to the trading world. Via his book "Think and Trade Like a Stock Market Wizard". Filter for trend template stocks using our tool.
▪ Rule of 100
Pristine Capital's gift to the trading world. The rule of 100 filters for stocks that meet the following condition: YoY EPS Growth + YoY Sales Growth >= 100%
▪ Bullish 80% Rule
If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
▪ Bearish 80% Rule
If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
▪ Break Above VAH
When a security is inside value, the auction is in balance. When it breaks above a value area, it could be entering a period of upward price discovery. One can trade these breakouts with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
▪ Break Below VAL
When a security is inside value, the auction is in balance. When it breaks below a value area, it could be entering a period of downward price discovery. One can trade these breakdowns with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
CHWY broke below the monthly value area on 7/20/23👇
CHWY proceeded to decline -53.11% in the following 64 trading sessions following the monthly VAL breakdown!
💠 Metric Columns
▪ %𝚫 - 1-day percent change in price
▪ YTD %𝚫 - Year-to-date percent change in price
▪ MTD %𝚫 - Month-to-date percent change in price
▪ MAx Moving average extension - ATR % multiple from the 50D SMA -Inspired by Jeff Sun
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low. Readings near 100% indicate close proximity to a 52wk high and readings near 0% indicate close proximity to a 52wk low
▪ Avg $Vol - Average volume (50 candles) * Price
▪ Vol RR - Candle volume/ Avg candle volume
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
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.
Dynamic Buy/Sell Volume Visualizer [wjdtks255]Indicator Description:
The Dynamic Buy/Sell Volume Visualizer separates bullish and bearish volumes and calculates their moving averages with customizable colors and transparency. It dynamically visualizes buying strength relative to selling pressure by plotting a volume ratio line that changes color intensity and line thickness based on volume dominance. Background colors highlight strong buying or selling phases when volumes exceed thresholds. Volume bars and moving averages provide clear market volume context, and horizontal lines mark key neutral and strength levels.
How It Works:
Bull and bear volumes are distinguished by candle direction.
Moving averages (SMA) smooth volume data with user-defined length and customizable visual styles.
The volume ratio (buy volume MA over total MA) reflects buying strength from 0 (full sell) to 1 (full buy).
The volume ratio line’s color and thickness change dynamically according to the ratio’s magnitude.
Background colors alert users when buy or sell volumes surpass thresholds.
Volume bars and moving averages give detailed volume insights, complemented by horizontal lines showing neutral (0.5), strong buy (0.7), and strong sell (0.3) levels.
Trading Method:
Use the volume ratio line to gauge current market pressure; above 0.7 suggests strong buying, below 0.3 indicates strong selling.
Observe background color shifts as quick visual cues for volume surges or declines.
Combine this volume visualization with price actions to time entries and exits.
Customize moving average parameters to align the indicator with your trading style.
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
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• Gaussian channel
Works on any chart. No subscription needed.
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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
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“OPEN” and “CLOSE” labels in matching session colors
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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.






















