Currency Strength Meter [ForexCracked]🔵 OVERVIEW
A currency strength meter that ranks the eight major currencies against each other in real time, and then tells you the one thing you actually opened it for: which pair to trade right now.
It reads all 28 major crosses, so every currency is measured across all seven of its pairs, not just against the dollar.
🔵 WHAT MAKES THIS ONE DIFFERENT
Almost every strength meter measures each pair's percent change and averages it. That has a flaw nobody talks about: a 40 pip move in a quiet pair and a 40 pip move in a violent one are treated as the same event, when they are not remotely the same event.
This meter measures every move in ATR units instead. A currency only scores highly if it has moved far relative to how far that pair normally moves. Quiet pairs stop being drowned out by naturally volatile ones, and the ranking stops flattering whichever currency happens to be paired with the wildest counterpart that week.
🔵 WHAT IT SHOWS
• A live ranking of USD, EUR, GBP, JPY, CHF, AUD, NZD and CAD, strongest to weakest
• Each currency's strength in ATR units, so the numbers mean something rather than being an index
• Whether each currency is strengthening or weakening against its own recent reading, not just where it sits
• The Best Pair line: long the strongest currency, short the weakest
• The Spread: the distance between strongest and weakest
🔵 THE SPREAD (read this one first)
The spread is the gap between the strongest and the weakest currency. It answers a question most traders skip: is anything actually happening?
A wide spread means currencies are genuinely diverging and a strength-based trade has something to work with. A narrow spread means everything is drifting together, the ranking is mostly noise, and the best trade is usually no trade. Check the spread before you trust the ranking.
🔵 HOW TO USE
• Read the spread. If it is small, the ranking is not telling you much, so wait.
• Take the Best Pair as a starting point, not an entry. It tells you where the divergence is, not when to get in.
• Prefer a currency that is both highly ranked and still strengthening over one that is highly ranked and already fading, since the second one has usually made its move.
• Confirm the pair on the chart with your own entry method. A strength meter frames the trade. It does not time it.
• Lengthen the Lookback for swing trading and shorten it for intraday.
🔵 SETTINGS
• Strength Lookback: how many bars back the move is measured over (default 24)
• ATR Length: the volatility yardstick every move is divided by (default 14)
• Symbol Prefix: leave blank on most charts. If the pairs do not load, set it to your data provider, for example OANDA: or FX:
• Show Ranking Table: toggles the strongest-to-weakest table in the top right (default on)
• Plot Strength Lines: toggles the eight strength curves in the pane (default on)
⚠️ DISCLAIMER
Relative strength tells you which currencies are moving and which are not. It does not tell you when to enter, and strong currencies reverse. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes. Not financial advice. インジケーター
インジケーター
Market Regime & Risk DashboardAn analytics and risk dashboard. It tells you what state the market is in and how much to risk. It does NOT generate buy or sell signals and makes no claim of edge.
What it shows
- Volatility regime: realized volatility bucketed by its own percentile history (Low / Normal / High / Extreme)
- Realized volatility and its percentile rank
- Trend regime: Kaufman Efficiency Ratio bucketed into Trending / Mixed / Choppy
- ATR % of price, an ATR-based stop distance, and a fixed-fractional position size for your chosen risk percent
- Drawdown from the recent high
How to read it
Volatility regime drives position sizing: in Extreme regimes the same percent risk implies a far smaller position, and the dashboard does that maths for you. The trend regime is descriptive, not predictive.
Honest by design
- No buy/sell signals, no alpha claim. This is a measurement tool, not a prediction.
- Non-repainting: every value is a function of confirmed closes, no request.security, no future data. The current forming bar updates in real time, which is normal, not historical repaint.
- Every number is defined, with its limitations stated.
Open-source and MIT licensed.
Disclaimer: impersonal educational and analytics tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions. インジケーター
MTF Bias TableScript name
QE — MTF Bias Table
Short description
Multi‑timeframe trend bias dashboard. Compares fast vs. slow MA alignment across 5m through 1M to classify each timeframe as bullish or bearish at a glance.
Description
QE — MTF Bias Table is a non‑repainting, multi‑timeframe trend dashboard built for traders who need higher timeframe context before entering lower timeframe setups. It evaluates fast vs. slow moving average alignment across eight timeframes (5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M) and prints a clean, color‑coded table directly on the chart.
The indicator is intentionally designed to pair with order‑flow, structure, and liquidity tools. It does not predict direction; it answers one question: “Is this timeframe aligned bullish or bearish?”
How it works
Fast MA > Slow MA = Bullish alignment (green “▲ BULL”)
Fast MA < Slow MA = Bearish alignment (red “▼ BEAR”)
All MTF requests use lookahead disabled to prevent repainting. The script reads a fresh close‑based value at each higher timeframe candle, so the bias state is stable and reflects the confirmed bar, not the developing one.
Configurable inputs
Fast MA Length (default 20)
Slow MA Length (default 50)
MA Type (EMA or SMA)
Why use this
Instantly see if your entry timeframe aligns with the daily/weekly bias
Avoid counter‑trend entries when the HTF is stacked against you
Use it as a filter: only trade setups that agree with the higher timeframe bias
Compact table design with minimal chart clutter
Tags
multi-timeframe
trend
bias
dashboard
Usage note
This is a bias filter, not an entry system. Combine it with your own structure, liquidity, and confirmation models for a complete trading plan. インジケーター
Helix Lucky MTF Bias and Breakout DashboardHelix Lucky MTF Trend and Breakout Dashboard
📊 Overview
Helix Lucky MTF Trend and Breakout Dashboard is an overlay indicator designed to organize trend, momentum, breakout context, key levels, and multi-timeframe alignment into one chart-based dashboard.
The purpose of the script is not to combine unrelated indicators into a single display. The script separates market analysis into distinct layers so each component has a specific role:
1. Trend structure
2. Momentum confirmation
3. Breakout context
4. Multi-timeframe alignment
5. Key level awareness
6. Setup scoring
7. Optional visual confirmation tools
The result is a confluence-based workflow that helps traders review whether multiple independent conditions are aligned before making a trading decision.
🧩 How the Main Components Work Together
The script uses moving averages, VWAP, MACD, ZLSMA, UT Bot logic, Supertrend, ADX, RSI, and Opening Range Breakout logic as separate inputs within the same framework.
The moving average group provides basic trend structure by comparing shorter-term and longer-term averages. The default structure uses a fast EMA, medium EMA, and long SMA, but users can configure the moving average types and lengths.
VWAP provides session or higher-period price-location context. It can be anchored to the session, day, week, month, quarter, or year and may be displayed with standard deviation or percentage-based bands.
MACD is used as a momentum confirmation layer. The script includes a minimum separation filter so very small MACD differences can be filtered out instead of being treated the same as stronger momentum shifts.
ZLSMA is optional and can be used as an additional trend-direction filter.
The UT Bot component is used as the primary chart label engine. It uses an ATR-based adaptive trailing stop. The script adjusts the trailing distance using volatility, momentum, and volume conditions, then produces Buy or Sell labels when price crosses the trailing stop and the configured filters allow the signal.
Supertrend provides a separate trend-regime layer. This gives the user a second way to compare the UT Bot label against a broader trend condition.
ADX is used to evaluate whether trend strength is above the user-selected threshold. RSI can be used either in a classic 30/70 bias mode or with custom pullback zones.
The Opening Range Breakout component tracks whether price is above, below, or inside the selected opening range window. This helps separate trend-following conditions from range-bound conditions.
🧠 Why This Is More Than a Simple Mashup
Each component is assigned a different purpose. The script is designed so the same tools are not all treated as equal standalone signals.
Trend tools identify direction.
Momentum tools evaluate confirmation.
Volume and relative volume help evaluate participation.
Opening Range Breakout logic identifies range expansion.
The Bias Table compares selected conditions across multiple timeframes.
The Price Point Dashboard displays important reference levels and live context.
The scoring layer organizes these conditions into a rule-based summary.
This structure allows the script to reduce chart clutter while still showing how the underlying conditions agree or disagree.
🕒 Multi-Timeframe Bias Table
The Multi-Timeframe Bias Table displays up to eight selectable timeframes, including 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, and Daily.
Each row evaluates one condition, such as moving average structure, price relative to VWAP, MACD alignment, Supertrend direction, ZLSMA slope, RSI condition, ADX threshold, Opening Range Breakout status, and longer-period bias.
The table also includes an average agreement reading. This reading is not a prediction and does not represent a win rate. It simply shows how many selected conditions are aligned across the active timeframes.
By default, the script can hide timeframes below the current chart timeframe. This is intended to reduce lower-timeframe noise when viewing higher-timeframe charts.
📍 Price Point Dashboard
The Price Point Dashboard displays reference levels and market context in one location. These can include prior day high, prior day low, prior day close, pivot levels, moving averages, 52-week high, Fibonacci reference levels, VWAP information, Opening Range Breakout status, ATR, gap percentage, relative volume, and other selected dashboard fields.
The dashboard is intended to help users see where price is trading relative to important reference levels without manually adding each level to the chart.
📈 Trend Strength Score
The Trend Strength Score is a rule-based 0 to 100 score that measures how strongly the current bar aligns with selected bullish trend conditions.
The score uses five weighted components:
- EMA alignment
- VWAP location
- MACD alignment
- Supertrend direction
- ADX strength
The score is a summary of internal conditions only. It does not predict future price movement.
🎯 Trade Probability Score
The Trade Probability Score is a rule-based 0 to 100 setup-quality score. It is calculated from twelve weighted factors:
- Multi-timeframe alignment
- EMA stack
- VWAP location
- Price relative to the 200-period moving average
- MACD alignment
- Supertrend direction
- ADX strength
- Relative volume
- Opening Range Breakout status
- Relative strength versus a selected benchmark
- Volatility state
- Position relative to key levels
The score is intended to summarize confluence. A higher score means more of the script’s internal conditions are aligned. It does not mean that a trade will be profitable, and it should not be interpreted as a guaranteed probability of success.
💧 Liquidity Sweep Detection
The script can detect liquidity sweep conditions by checking whether price moves beyond a recent swing high or swing low and then closes back inside that level.
A Sweep High label indicates that price moved above a recent high and then closed back below that level.
A Sweep Low label indicates that price moved below a recent low and then closed back above that level.
These labels are intended to identify possible rejection behavior around recent swing points. They should be used as context, not as standalone trade signals.
⚖️ Relative Strength
The script includes relative strength comparison against configurable benchmark symbols. The default benchmarks are QQQ and SPY.
Relative strength is calculated by comparing the current symbol’s intraday return against the benchmark’s intraday return. A positive value means the current symbol is outperforming the benchmark over that comparison period. A negative value means it is underperforming.
🌡️ Volatility State
The Volatility State feature classifies the current volatility environment as Squeeze, Normal, or Expansion.
This is based on Bollinger Band width compared with Keltner Channel width and recent volatility behavior.
Squeeze indicates compressed volatility.
Normal indicates a standard volatility environment.
Expansion indicates that volatility has increased relative to recent conditions.
This feature is included to help users understand whether price is consolidating, behaving normally, or expanding in volatility.
🕯️ Candlestick Pattern Labels
The script includes optional candlestick pattern labels. These patterns are detected on the same timeframe as the chart. They are not calculated from a separate hidden timeframe.
Optional labels include:
- Bullish Engulfing
- Bearish Engulfing
- Hammer
- Shooting Star
- Morning Star
- Evening Star
- Inside Bar
- Tweezer Top
- Tweezer Bottom
- Doji
- Dragonfly Doji
- Gravestone Doji
- Sweep High
- Sweep Low
These labels are intended as additional context. They should not be treated as standalone entries without reviewing trend, momentum, volatility, and key-level context.
🛑 Suggested Stop Loss and Take Profit Reference Lines
The script can plot suggested stop loss and take profit reference lines after a UT Bot label appears.
The stop line is calculated from internal structure such as the UT Bot stop, Supertrend, VWAP, moving average, Donchian floor, and a minimum ATR-based risk floor depending on settings and context.
Take profit reference lines are based on R-multiple distances from the suggested stop. These are visual planning tools only. They do not place trades, manage positions, or execute orders.
🧭 How to Use the Script
A typical workflow is:
1. Select the chart timeframe and market being reviewed.
2. Review the Multi-Timeframe Bias Table to understand directional alignment.
3. Check whether the chart is trending, ranging, breaking out, or consolidating.
4. Review the Price Point Dashboard for key levels and market context.
5. Watch for a UT Bot Buy or Sell label if labels are enabled.
6. Compare the label direction with Supertrend, MACD, VWAP, ADX, and the Bias Table.
7. Review the Trend Strength Score and Trade Probability Score as confluence summaries.
8. Use the suggested stop and take profit reference lines only as visual planning tools.
9. Apply independent risk management and confirm the setup with your own analysis.
🌍 Timeframes and Markets
The script can be applied to different chart timeframes and TradingView-supported markets. Lower timeframes may produce more signals and more noise. Higher timeframes may produce fewer signals but can provide broader context.
The Multi-Timeframe Bias Table is intended to help users avoid looking at a single timeframe in isolation.
⚠️ Important Limitations
This script is an indicator, not a strategy. It does not place trades, backtest trades, manage orders, or connect to a brokerage account.
The scoring systems are rule-based summaries of current chart conditions. They are not win-rate models, machine-learning predictions, or guarantees of future results.
Signals, labels, and dashboard values can vary by symbol, timeframe, liquidity, volatility, and user settings.
The Bias Table is a live context dashboard and may update while the current bar is forming. This is expected behavior because some values are based on developing bar data.
The “Draw visuals only on bar close” setting gates the UT Bot entry visuals and suggested stop/take-profit drawings to confirmed bars. It does not freeze every live dashboard value while a bar is developing.
Liquidity Sweep labels can be gated to bar close using the Bar Close Only setting.
The script is designed for standard chart analysis. Signals on non-standard chart types may behave differently because those chart types can use synthetic price construction.
No signal, score, table reading, or label should be used as a guarantee of future price movement. Users should apply their own analysis and risk management.
🧾 Credits and Inspiration
This script was inspired by the concept of combining a multi-timeframe bias table, trend labels, and a price-level dashboard into one overlay.
The current script is a ground-up Pine Script v6 implementation with additional architecture, including the rule-based Trade Probability Score, Trend Strength Score, liquidity sweep detection, relative strength comparison, volatility state classification, configurable dashboards, candlestick pattern labels, and suggested risk-reference lines.
The script also uses common technical analysis concepts such as moving averages, VWAP, MACD, RSI, ADX, ATR, Supertrend-style trend logic, and Opening Range Breakout logic. These common concepts are organized into a single decision-support framework rather than presented as separate standalone indicators. インジケーター
DMI & ADX Enhanced Trend Dashboard (with Long/Short Status)
概述
本脚本在经典的 Wilder DMI（趋向指标）与 ADX（平均趋向指数）基础上，进行了实用性增强。它不仅在副图区清晰绘制了 +DI、-DI 与 ADX 三条曲线，还在图表右上角集成了一个智能状态看板（Dashboard），将枯燥的数值转化为 “做多 / 做空 / 不交易” 的直观文字信号，极大提升了复盘效率和实时盯盘的便捷性。
核心计算逻辑
严格遵循 Wilder 标准算法，使用 RMA（Wilder 移动平均）对真实波幅（TR）和方向运动（DM）进行平滑处理，确保指标反应的稳定性和经典性。+DI 与 -DI 分别代表多头与空头的力量方向，ADX 则量化了当前趋势的绝对强度（数值越高，趋势越强）。
智能看板（Dashboard）信号规则
1. 趋势过滤：当 ADX > 设定阈值（默认 20）时，认定市场存在明显趋势，进入交易逻辑判断。
2. 多空判定：若 +DI > -DI 且 ADX 大于阈值，看板显示“做多”（绿色背景）。若 -DI > +DI 且 ADX 大于阈值，看板显示“做空”（红色背景）。
3. 观望警示：当 ADX 低于阈值时，视为市场处于震荡或无趋势状态，看板显示“不交易（趋势偏弱）”（灰色背景），建议投资者空仓观望，规避频繁止损。
参数自定义建议
ADX 平滑长度（默认 14）：控制 ADX 线的平滑度，数值越大曲线越平缓。
DI 周期长度（默认 14）：影响 +/-DI 对价格变化的敏感度。
趋势阈值（默认 20）：核心风控参数。对于波动较大的品种（如加密货币），建议调高至 25；对于股票或外汇，保持 20 即可。
适用场景
本指标非常适合中长线趋势跟踪策略，能有效帮助交易者过滤掉震荡行情的噪音，只在趋势明确时提供方向性参考。请注意，本工具为分析型指标，不包含未来函数，信号稳定。
Overview
This script enhances the classic Wilder DMI (Directional Movement Indicator) and ADX (Average Directional Index) with practical improvements. It not only clearly plots the +DI, -DI, and ADX curves in the indicator pane, but also integrates a smart dashboard in the top-right corner of the chart. This dashboard translates the raw numerical values into intuitive textual signals — "Long", "Short", or "No Trade" — greatly improving the efficiency of both backtesting analysis and real-time monitoring.
Core Calculation Logic
The script strictly follows Wilder's standard algorithm, using RMA (Wilder's Moving Average) to smooth True Range (TR) and Directional Movement (DM), ensuring stable and classic indicator responses. +DI and -DI represent the directional strength of bulls and bears respectively, while ADX quantifies the absolute strength of the current trend — the higher the value, the stronger the trend.
Smart Dashboard Signal Rules
1. Trend Filter: When ADX > the set threshold (default 20), the market is considered to have a clear trend, and the trading logic is activated.
2. Long/Short Determination: If +DI > -DI and ADX is above the threshold, the dashboard displays "Long" (with a green background). If -DI > +DI and ADX is above the threshold, the dashboard displays "Short" (with a red background).
3. Caution/Wait Signal: When ADX is below the threshold, the market is considered range-bound or trendless. The dashboard displays "No Trade (Weak Trend)" (with a gray background), suggesting that traders should stay on the sidelines to avoid frequent stop-losses.
Parameter Customization Suggestions
ADX Smoothing Length (default 14): Controls the smoothness of the ADX line. Higher values result in a smoother, less reactive curve.
DI Period Length (default 14): Affects the sensitivity of +DI and -DI to price changes.
Trend Threshold (default 20): A critical risk management parameter. For more volatile instruments (e.g., cryptocurrencies), consider raising it to 25. For stocks or forex, keeping it at 20 is generally suitable.
Application Scenarios
This indicator is ideally suited for medium-to-long-term trend-following strategies. It effectively helps traders filter out noise during choppy, sideways markets, providing directional references only when a clear trend is present. Please note that this is an analytical tool with no built-in future functions, ensuring stable and reliable signals.
インジケーター
Ultimate Matrix HUD v8🎯 Ultimate Matrix HUD — Multi-Symbol Direction + Sector Rotation Dashboard
What it is: An all-in-one heads-up display that answers three questions at a glance — Which way is my stock going? How much conviction is behind it? And is the money flowing into its sector? It scans up to 6 tickers of your choice plus ranks all 11 market sectors, right on your chart. Built for desktop and phone.
📊 What You're Looking At
The HUD has two panels:
1️⃣ Watchlist Panel — your 6 chosen tickers, one row each:
Column Meaning
TICKER The symbol being scanned
BIAS Direction + conviction: 🟢 LONG / 🔴 SHORT (strong, ≥70%), 🟡 WEAK L/S (building, 40–69%), ⚪ NEUTRAL
REGIME Market character: ⚡ DAY (volatile/intraday), 🌊 SWING (calm/trending), ➖ RANGE (chop)
TREND A mini score-history sparkline (▁▂▃▄▅▆▇█) with an arrow — ↗ = conviction strengthening, → = flat/fading
SECTOR The ticker's sector, its live rotation quadrant color, and rank (e.g. Tech 🟢#2)
2️⃣ Sector Rotation Panel — all 11 sectors ranked by relative strength:
Column Meaning
SECTOR Short label (Tech, Fin, Enrgy, Hlth, etc.)
QUADRANT 🟢 Leading, 🟡 Weakening, 🔴 Lagging, 🔵 Improving
STR/MOM The two RRG axes — Strength / Momentum
RANK Position 1–11, with 🥇🥈🥉 for the top three
🧠 How the Bias Score Works
Each ticker is graded 0–100% on four pillars:
Macro Trend (40 pts) — Higher-timeframe EMA structure (fast vs slow) confirms the big-picture direction.
Momentum (30 pts) — RSI in the healthy trend zone (not overextended).
Volume Confirmation (30 pts) — A volume spike in the direction of the move = real participation.
A score of ≥70% lights up 🟢 LONG or 🔴 SHORT. Between 40–69% it's a building 🟡 WEAK signal. Below that, ⚪ NEUTRAL.
🔄 How Sector Rotation Works (RRG Model)
Every sector is measured against a benchmark (default SPY, fully customizable) on two axes:
Strength — is it outperforming the benchmark over the long window?
Momentum — is that outperformance accelerating or fading?
Those two combine into the classic Relative Rotation Graph quadrants:
Quadrant Meaning Play
🟢 Leading Strong and accelerating Prime hunting ground for longs
🟡 Weakening Strong but losing steam Take profits / tighten stops
🔴 Lagging Weak and still falling Avoid longs / short candidates
🔵 Improving Weak but turning up Early rotation — watchlist for entries
Money typically rotates clockwise: Improving → Leading → Weakening → Lagging.
The STR/MOM column shows the two raw axes (e.g. 3.2 / 1.1 = outperforming and accelerating). Classic rotation flow is clockwise: Improving → Leading → Weakening → Lagging.
✅ The A+ Setup — Reading a Row in One Glance
The whole point is confluence. Your strongest trade lines up all three:
text
Copy
🟢 LONG (100%) + ▇█ ↗ + Tech 🟢#1
direction conviction money flow
That's a strong signal, still strengthening, in the #1 leading sector. Conversely, a 🟢 LONG whose sector reads 🔴#10 is a red flag — you'd be fighting the rotation.
⚙️ Setup (One-Time, ~2 Minutes)
Watchlist: Enter your 6 tickers and pick each one's sector from the dropdown. Set crypto/forex to None (their sector tag will show —).
Benchmark: Default SPY. Swap to QQQ (tech-relative), IWM (small-cap), or any symbol.
Mode: Choose Watchlist, Sector Rotation, or Both.
Display: Position, text size, transparency, colors, borders, and toggle any column on/off.
⚠️ Sector assignment is manual — Pine Script can't reliably auto-detect a stock's sector for scanned symbols. It's a 30-second, one-time setup and gives you 100% accurate, self-controlled tagging.
🔔 Discord Alerts (Optional)
The HUD can push formatted alerts to Discord on two events:
Bias Flip — a ticker crosses into 🟢 LONG or 🔴 SHORT
Momentum Strengthening — conviction starts accelerating (↗)
Each alert includes the ticker, bias, regime, trend, and its sector context:
text
Copy
NASDAQ:AAPL
Bias: 🟢 LONG (100%)
Regime: ⚡ DAY
Trend: ▇█ ↗
Sector: Tech 🟢#2
To wire it up:
In Discord: Server Settings → Integrations → Webhooks → New Webhook, copy the URL.
In TradingView: click the alarm clock ⏰ → Create Alert on this indicator.
Set Condition = Ultimate Matrix HUD, and under Notifications → Webhook URL, paste your Discord webhook.
Set the alert message to {{plot}} or leave default — the indicator sends its own JSON payload.
Alerts fire on bar close for reliability (no repaint-driven false pings).
📱 Mobile Tips
Set Text Size = Tiny/Small and bump Panel Transparency so price stays visible.
Hide columns you don't need (Regime, Trend, or Sector) to slim the panel.
Use Watchlist-only mode on phone for the cleanest view; switch to Both on desktop.
⚠️ Important Notes & Limitations
Live-bar values are provisional. All scores, ranks, and quadrants settle on bar close — treat the forming bar as an estimate.
Not financial advice. This is a decision-support dashboard, not a signal-to-blindly-trade. Always confirm with your own analysis and risk management.
Sector features are equity-focused. Set non-equity symbols (crypto/forex) to None.
Best on liquid symbols with real volume data — thinly traded names may give noisy volume/regime reads.
Timeframe: Works on any, but shines on 15m–4H for swing/intraday. Benchmark & windows are fully tunable in settings. インジケーター
Technical 4x4 MatrixTechnical 4x4 Matrix:
Can Rethinking Common Sense Bring New Insights?
Description:
Does reviewing existing common sense bring new insights? The "Technical 4x4 Matrix" challenges the traditional way we view technical analysis. Instead of stacking endless line charts or reading boring data tables, this indicator reimagines 16 classic technical indicators (RSI, MACD, Bollinger Bands, etc.) by projecting them onto a unified, 4x4 analog meter interface directly on your chart.
By standardizing completely different mathematical models into a single visual language, we can uncover hidden confluences and macro alignments that isolated indicators often miss.
To make this matrix function, the script performs heavy data normalization and correlation calculations behind the scenes. Here is why these calculations are used and what they actually output:
1. Data Normalization Engine (The Analog Meters)
Why it's used: You cannot simply average an RSI (measured 0 to 100) with a MACD (absolute price differences). To create a unified "Average Flow," every indicator must be converted to a uniform scale.
The Calculation: The script uses a custom normalization formula:
Normalized Value = (Current Value - Min Value) / (Max Value - Min Value)
Actual Output Value: Regardless of the indicator's native scale, the output value for every single meter is strictly constrained between 0.0 (Absolute Cold/Oversold) and 1.0 (Absolute Hot/Overbought). For example, a neutral RSI of 50 outputs exactly 0.5.
2. Master HUD Crosshair (Macro Correlation)
Why it's used: To determine if the current micro price action is actually aligned with the macro trend, rather than just reacting to short-term noise.
The Calculation:
First, it creates a ratio: Macro Ratio = SMA(Close, 250) / SMA(Close, 1)
Next, it calculates the correlation between the closing price and this ratio over 20 periods, scaling it for the HUD's Y-Axis:
Y-Axis Ratio = (Correlation + 1.0) / 2.0
Actual Output Value: The raw correlation ranges from -1.0 to 1.0. After scaling, the final Y-Axis output is a coordinate between 0.0 and 1.0. The X-Axis is the simple average of all active 0.0 to 1.0 normalized indicators. If the crosshair intersects at (0.8, 0.8), it outputs a mathematically backed signal of strong macro and micro bullish alignment.
16 togglable indicators rendered as square analog meters with dynamic needle tracking and LED status lights.
Garbage Collection: Efficient array clearing prevents memory leaks and visual ghosting.
Master Crosshair: A central HUD that tracks the aggregated flow of all 16 indicators (X-axis) against macro-trend correlation (Y-axis).
インジケーター
Crypto Market RSI Heatmap [BigBeluga]🔵 OVERVIEW
The Crypto Market RSI Heatmap is a comprehensive, institutional-grade sector momentum matrix built for TradingView. It consolidates relative strength metrics for up to 20 cross-sectional crypto assets into a single, highly readable multi-group pane. Instead of forcing you to open dozens of browser tabs or flip back and forth between charts, this system runs concurrent structural background queries to map real-time market overbought expansions and oversold depressions using an advanced, color-gradient visual framework.
🔵 FEATURES
The indicator tracks cross-asset momentum cycles through an isolated data processing engine:
1 — Multi-Asset Matrix Architecture
Modular Asset Grouping: Assets are automatically split into 4 distinct structural sectors (Group A through Group D). Each section handles up to 5 completely customizable tickers, allowing you to organize setups by Layer 1s, DeFi, Memes, or Major pairs.
Independent Timeframe Anchors: Every group has an isolated execution timeframe filter ( Timeframe ). This allows you to monitor short-term scalping momentum in one sector while simultaneously tracking macroscopic daily trend structures in another.
Dynamic Highlight Tracking: The background matrix scans the active workspace. The exact asset loaded on your current open chart is highlighted with a custom accent marker ( Current Chart Asset Highlight ) so you never lose your visual anchor.
2 — Momentum Filters & Statistical Computations
Flexible Core Oscillators: The engine isn't limited to standard RSI calculations. Users can instantly toggle between a classic Relative Strength Index, Money Flow Index (MFI) to capture volume distribution, or a fast-response Stochastic RSI.
Group Average Horizon Lines: Dotted real-time horizontal baselines calculate the mean historical mathematical score of each active group, providing an instant look at overall sector health.
Real-Time Cluster Stats: A live sub-label maps out the active average, minimum, and maximum value points for every cluster directly across the base of the indicator workspace.
// 3-Point Color Gradient Engine & Highlighting Mechanism
color dynamicCoinColor = colorMidYel
if coinRSI >= 50.0
dynamicCoinColor := color.from_gradient(coinRSI, 50.0, 75.0, colorMidYel, colorMaxRed)
else
dynamicCoinColor := color.from_gradient(coinRSI, 25.0, 50.0, colorMaxGrn, colorMidYel)
bool isActiveChartAsset = str.contains(str.split(symbol, ":").last(), syminfo.ticker)
if isActiveChartAsset
dynamicCoinColor := colorActive
🔵 HOW TO USE
Using the system to gauge sector rotation requires a systematic analysis flow:
Evaluating Sector Divergences: Monitor the separate group structures to identify relative market leaders and laggards. When Group A’s average baseline pushes deeply into the upper red expansion zone while Group B remains pinned inside the lower green oversold region, money is explicitly rotating out of one pocket and into the other.
Tracking Active Momentum Continuations: Watch the trailing dashed historical lines to catch velocity expansions. Assets that break heavily out of the neutral 50 level and carry an institutional-grade gradient color shift provide high-probability breakout opportunities.
Isolating Market Anomalies: Use the bottom statistics panel to hunt down structural outliers. If a major sector average is floating heavily at a overbought 75 reading, but an individual coin within that exact cluster is sitting at a depressed 35 minimum level, you have found an inefficiencies setup.
🔵 NOTES
Why this implementation is unique:
It completely replaces standard, bulky multi-pane monitor clusters by arranging up to 20 assets side-by-side using a clean, space-staggered horizontal charting layout.
The dual-layer label framework overlays readable ticker identifiers directly on top of real-time momentum tracking nodes, preserving chart real estate without sacrificing readability.
It bridges standard price-derived momentum structures with user-defined asset lists, creating a bespoke internal crypto index tracking workspace.
インジケーター
EMA Pro+ Suite# EMA Pro+ Suite
**A multi-layer EMA confluence framework for reading market state at a glance.**
---
## What It Is
EMA Pro+ Suite is an overlay indicator built around three exponential moving averages — a Fast (10), Mid (20), and Slow (50) EMA — organized into a structured three-layer state engine that tells you the current market regime, momentum direction, and whether price is in or out of alignment with that regime. Rather than treating each EMA in isolation, the suite reads them together as a system and surfaces a single, coherent market state at all times.
A corner dashboard table updates in real time, giving you an instant read on bias, momentum, alignment, EMA slopes, and price extension — without having to scan the chart manually.
---
## How It Works
The indicator evaluates three distinct layers on every bar:
**Layer 1 — Bias (Trend Regime)**
Defined by price relative to the 50 EMA. Price above = bullish bias. Price below = bearish bias. This is the macro filter — it determines which direction setups should be taken in.
**Layer 2 — Momentum**
Defined by the 10 EMA relative to the 20 EMA. When the fast EMA is above the mid EMA, momentum is bullish. When below, momentum is bearish. Momentum alignment with bias is the confirmation layer.
**Layer 3 — Price vs Fast EMA**
When bias and momentum are aligned but price is on the wrong side of the 10 EMA, the indicator flags a potential pullback or exhaustion condition. In a full bull regime, price dipping below the 10 EMA may represent a high-quality entry opportunity — or an early warning of trend exhaustion. Context determines which.
**Slope Engine**
Each EMA is evaluated for slope using a configurable lookback. RISING / FLAT / FALLING is displayed per EMA in the dashboard. A momentum flip on flat EMAs carries significantly less weight than one on rising or falling EMAs — this is critical for filtering out noise in ranging conditions.
**Price Distance from 50 EMA**
Tracks how extended price is from the slow EMA as a percentage. Large positive or negative readings flag mean reversion risk.
**Bar & Background Coloring**
- Green background + green bars = full bull alignment
- Red background + red bars = full bear alignment
- Yellow bars = conflicting bias and momentum (mixed / transitional state)
- Aqua bars = bull regime, price pulling back below 10 EMA
- Fuchsia bars = bear regime, price popping above 10 EMA
**Cross Signals**
- `M↑` (green) — 10 EMA crossed above 20 EMA in bull zone. Aligned, higher conviction.
- `M↓` (red) — 10 EMA crossed below 20 EMA in bear zone. Aligned, higher conviction.
- `M↑ 🐻` (orange) — Bullish momentum flip firing in bear zone. Counter-trend, lower conviction.
- `M↓ 🐂` (orange) — Bearish momentum flip firing in bull zone. Counter-trend, lower conviction.
**Multi-Timeframe Support**
All three EMAs can be calculated on a higher timeframe and plotted on the current chart. Use this to anchor your bias to the HTF structure while reading entries on a lower timeframe.
---
## Possible Ways to Use It
**Trend Following**
Wait for full alignment — green background, green bars, all three slopes RISING. Only look for long entries. Use the 10 EMA pullback (aqua bars) as a potential entry trigger. Reverse logic for shorts.
**Momentum Flip Entries**
Use aligned `M↑` / `M↓` signals (green/red) as entry triggers when bias and slope confirm. Discard or fade counter-trend orange signals unless you have a specific reason to trade against the regime.
**Regime Filter for Other Systems**
Use the bias layer (price vs 50 EMA) as a filter for another strategy. Only take long signals from your primary system when EMA Pro+ shows bull bias, and vice versa.
**HTF Confluence**
Set the EMA Timeframe to a higher timeframe (e.g. 4H or Daily) while trading on a 15m or 1H chart. The dashboard will show the HTF regime, giving you a structural anchor for your intraday reads.
**Avoiding Chop**
When all three slopes read FLAT and bars are yellow (mixed alignment), the market is in a transitional or ranging state. Consider standing aside or reducing position size until a clear regime re-establishes.
**Mean Reversion Awareness**
When Dist 50 shows a large positive or negative reading, price is extended from the slow EMA. In trending markets this can persist — but it raises the bar for adding to positions and flags potential snapback risk.
---
## Settings
| Setting | Description |
|---|---|
| EMA Timeframe | Blank = current chart timeframe. Enter any TF (e.g. 60, 240, D) for MTF mode. |
| Fast / Mid / Slow EMA Length | Default 10 / 20 / 50. Fully adjustable. |
| Slope Lookback | Number of bars used to calculate EMA slope. Increase on lower timeframes to reduce flat readings. |
| Show EMA Lines | Toggle the three EMA plots. |
| Show Bias Background | Toggle the green/red background tint. |
| Color Bars by State | Toggle bar coloring. |
| Show Cross Signals | Toggle M↑ / M↓ labels on chart. |
| Show Dashboard Table | Toggle the corner HUD. |
| Table Position | Top Right / Top Left / Bottom Right / Bottom Left. |
| Bar Close Reminder Alert | Fires a reminder alert on every bar close to check the setup. |
---
## Alerts
- Momentum Flip Bullish — Bull Zone (aligned)
- Momentum Flip Bullish — Bear Zone (counter-trend)
- Momentum Flip Bearish — Bear Zone (aligned)
- Momentum Flip Bearish — Bull Zone (counter-trend)
- Price Reclaimed 50 EMA (bias flipped bullish)
- Price Lost 50 EMA (bias flipped bearish)
- Bull Pullback Signal (bull regime, price below 10 EMA)
- Bear Pullback Signal (bear regime, price above 10 EMA)
- Bar Close Reminder
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. All trading involves substantial risk of loss. Past performance of any signal, strategy, or system is not indicative of future results.
EMA Pro+ Suite is a tool to assist with technical analysis — it does not predict price, guarantee accuracy, or remove the inherent uncertainty of financial markets. No indicator eliminates risk. You are solely responsible for your own trading decisions.
Always conduct your own research, apply proper risk management, and consider consulting a licensed financial professional before making any trading decisions. Only trade with capital you can afford to lose. インジケーター
Endogenous Macro Heatmap [invincible3] Endogenous Macro Heatmap
The Endogenous Macro Heatmap is a multi-factor macroeconomic dashboard designed to show the internal economic condition of a selected country in a compact table format directly on the chart.
Unlike cross-country or exogenous comparison models, this indicator focuses on domestic macro conditions : growth, production, demand, liquidity, rates, inflation, employment, fiscal position, debt pressure, and central bank balance sheet behavior.
The goal is to help traders, investors, and macro analysts quickly assess whether a country’s internal economic backdrop is improving, neutral, weakening, or entering a stress phase.
The indicator uses a heatmap structure so that changes in the macro environment can be understood visually. Stronger readings are shown through the positive color gradient, weaker readings through the negative color gradient, and balanced or transition zones through the neutral color.
What This Indicator Measures
The heatmap tracks a broad set of endogenous macro variables, including:
GDP year-over-year growth
Manufacturing production / manufacturing index
New orders or capacity utilization
Building permits, construction output, construction orders, or housing starts depending on the selected country
Retail sales year-over-year
Money supply
10-year government bond yield
Interest rate
Inflation year-over-year
Employment-related data
Debt-to-GDP
Government budget
Central bank balance sheet
Because macro data availability differs across countries, the script automatically substitutes certain fields where required. For example, some countries may use construction output, construction orders, housing starts, or capacity utilization depending on what is available in the TradingView economic database.
Supported Countries
The dashboard currently supports:
United States
United Kingdom
Euro Area
Germany
France
Italy
Canada
Japan
China
Australia
South Korea
New Zealand
Each country uses its corresponding TradingView economic code where available.
Composite Macro Score
The final Score column converts multiple macro readings into a single composite score from 0 to 100.
The score is grouped into four macro blocks:
1. Growth Block
Includes GDP, manufacturing, new orders, construction/building activity, retail sales, and employment.
This block has the largest weight because real economic momentum is the primary driver of macro regime strength.
2. Liquidity Block
Includes money supply and central bank balance sheet data.
This block helps identify whether domestic liquidity conditions are expanding or contracting.
3. Tightness Block
Includes 10-year yield and interest rate conditions.
This block helps measure whether financial conditions are becoming easier or tighter.
4. Stability Block
Includes inflation, debt/GDP, and government budget data.
This block helps detect macro pressure from inflation, fiscal stress, or excessive debt burden.
The composite score is weighted as follows:
Growth: 45%
Liquidity: 20%
Tightness: 20%
Stability: 15%
Score Interpretation
The score is displayed as a clean numeric value without extra symbols, making the table easier to read.
General interpretation:
70–100: Strong macro condition
55–69: Positive / improving condition
45–54: Neutral / transition condition
30–44: Weak condition
Below 30: Stress condition
The score should not be interpreted as a direct buy or sell signal. It is a macro regime filter designed to provide context.
Heatmap Color Logic
The table uses a simple and consistent three-color structure:
Positive color: stronger or favorable macro readings
Neutral color: balanced or mid-range readings
Negative color: weaker or unfavorable macro readings
The color system is intentionally matched with the Exogenous Heatmap style, allowing both dashboards to be used together with a consistent visual language.
Each macro field also includes an **Up Good** setting. This allows the user to define whether higher values are favorable or unfavorable for each metric.
For example:
Higher GDP growth is generally positive.
Higher manufacturing activity is generally positive.
Higher liquidity can be positive.
Higher inflation, debt, or rates may be interpreted differently depending on the user’s macro framework.
This flexibility allows the heatmap to be adapted for different economic regimes and analytical preferences.
Auto and Manual Scaling
The indicator includes an automatic macro gradient scale.
When auto scaling is enabled, the heatmap normalizes each metric based on the visible historical table range. This makes the table visually adaptive and easier to compare across different periods.
Manual scaling is also available for users who prefer fixed macro ranges.
This is useful when comparing the same country across different time periods or when the user wants a stable visual reference.
Timeframe and History Controls
Users can select the table period:
Yearly
Quarterly
Monthly
Weekly
Daily
The data can be fetched by:
A fixed number of periods
A selected start date
This gives flexibility for short-term macro monitoring as well as longer-term economic cycle analysis.
Table Customization
The dashboard includes several table display settings:
Show or hide table
Select table position
Select table size
Customize positive, neutral, and negative colors
The table automatically adapts to the chart background and foreground colors for better readability on both dark and light chart themes.
How to Use
This indicator is best used as a macro context tool.
A practical workflow:
1. Select the country you want to analyze.
2. Choose the table period, such as monthly or quarterly.
3. Review the color trend across the macro fields.
4. Watch whether growth, liquidity, tightness, and stability are improving or deteriorating together.
5. Use the composite score as a broad internal macro regime filter.
6. Combine the macro backdrop with price action, trend, liquidity, sector rotation, and risk management.
For example:
A rising score with improving growth and liquidity may support a risk-on environment.
A falling score with weakening growth and tightening conditions may warn of macro deterioration.
A neutral score may indicate a transition period where markets can become more sensitive to new economic data.
Suggested Use Cases
This heatmap can be useful for:
Macro regime analysis
Country-level economic monitoring
Risk-on / risk-off context
Equity index analysis
Bond market context
Currency market macro background
Sector rotation research
Long-term investment cycle analysis
Comparing domestic conditions with external macro pressure when used together with an exogenous heatmap
Important Notes
Economic data can be revised, delayed, or unavailable depending on the country and TradingView’s data coverage.
Some fields may not exist for every country, so the script uses alternative fields where possible.
The heatmap is designed for macro analysis and educational research. It does not predict price direction by itself and should not be used as a standalone trading system.
Always combine macro signals with technical analysis, market structure, liquidity conditions, and proper risk management.
Disclaimer
This script is for educational and analytical purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any asset.
Markets are influenced by many factors beyond macroeconomic data, including positioning, liquidity, earnings, policy changes, geopolitical events, and sentiment. Use this tool as one layer of a broader decision-making process.
インジケーター
Reversion Setup - Bollinger Bands + RSI Live Dashboard📊 REVERSION SETUP — Bollinger Bands + Live RSI Dashboard
A focused mean-reversion tool combining Bollinger Bands with a real-time
RSI dashboard — built to spot potential reversal zones without cluttering
your chart or burning extra indicator slots.
✅ Bollinger Bands — fully configurable (period, deviation, source, color)
✅ Live RSI Dashboard — current RSI value, overbought/oversold levels,
and real-time alert status, shown in a clean table instead of a
separate pane
🎯 WHY THIS COMBO
Bollinger Bands highlight when price stretches to a statistical extreme,
while the RSI dashboard confirms whether momentum actually backs up that
move. When price tags a band AND RSI flags overbought/oversold at the
same time, that's your reversion signal — two confirmations, one chart.
🔧 FULLY CONFIGURABLE
— Adjust Bollinger period, deviation, source, and color
— Set your own RSI period and overbought/oversold levels
— Adjust dashboard text size
💡 HOW IT WORKS
The RSI dashboard updates live as new candles form, showing:
— Current RSI value
— Upper/Lower band levels
— Alert status (Overbought ↑ / Oversold ↓ / Neutral →)
🔗 PAIRS WELL WITH
Check out my Trend Setup (EMA 50/100/200 + RSI Dashboard) for the
trend-following counterpart to this mean-reversion tool.
💬 Suggestions for the next setup? Drop a comment below — more tools
coming based on community feedback.
If this helped your charts, a like goes a long way 🙏 インジケーター
インジケーター
BocchiTheTrader | Quantum Trend Matrix# BocchiTheTrader | Quantum Trend Matrix
## 🚀 OVERVIEW
In modern electronic markets, retail traders suffer from cognitive overload. Managing multiple charts, fragmented timeframes, and dozens of conflicting indicators often leads to analysis paralysis and execution delays.
The **Quantum Trend Matrix** by **BocchiTheTrader** solves this structural problem. It is an enterprise-grade, localized Heads-Up Display (HUD) that synthesizes a high-fidelity technical matrix directly onto your active trading workspace. By evaluating macro trend direction, multi-oscillator momentum, volume health, and volatility boundaries simultaneously, the QTM provides traders with an instantaneous snapshot of market confluence. It functions as a single, centralized source of truth for directional bias, asset strength, and execution validation.
---
## 📐 THE MATHEMATICAL & LOGICAL CORE
The dashboard works as a multi-indicator consensus engine, evaluating individual variables every single tick to update a structural confluence matrix:
* **Tri-Horizon Trend Architecture:** Evaluates directional health by processing price action relative to an optimized Simple Moving Average (SMA) across three distinct temporal planes: Macro-Weekly, Swing-Daily, and Intraday-Current.
* **Linear & Non-Linear Momentum Ensemble:**
* **MACD Line/Signal Cross:** Decodes classic directional velocity shifts.
* **Relative Strength Index (RSI-14):** Evaluates oversold/overbought thresholds based on a centralized 50-level mid-line axis.
* **Stochastic Oscillator (14, 3):** Measures the location of the close relative to the high-low range to catch rapid cyclical swing turns.
* **Gaussian Normalized Fisher Transform:** Applies an algebraic log transform to normalized RSI values, sharpening the turning points into crisp, highly responsive leading triggers.
* **Money Flow Index (MFI-14):** Combines price action with volume to determine institutional capital absorption or distribution.
* **Volatility & Structural Boundaries:**
* **Bollinger Bands (20, 2.0):** Isolates extreme price extensions. If price pierces the lower band, an exhaustion "Buy" state triggers; if it pierces the upper band, a "Sell" state triggers; otherwise, it remains balanced ("Neutral").
* **Trend Strength & Direction Balance (DMI/ADX):**
* **Directional Movement Index (DMI):** Identifies whether the positive ($+DI$) or negative ($-DI$) trend force is dominant.
* **Average Directional Index (ADX):** Quantifies the absolute strength of the move. Values below 25 trigger a "Weak" warning, while values above 25 confirm a true trending market.
* **Dynamic Exponential Ribbon (EMA 20/50):** Monitors the fast-to-slow exponential moving average cross to confirm immediate mechanical trend acceleration.
---
## 🚦 HOW TO TRADE WITH IT
### 🔹 Long-Side Execution Matrix (Confluence Buying)
1. **Macro Validation:** Ensure that the *Daily Trend* and *Current Trend* cells display **Bullish** (Mint Green).
2. **Momentum Alignment:** Look for a cluster of **Buy** signals across leading indicators (specifically *Fisher*, *MACD*, and *RSI*).
3. **Volatility Confirmation:** Verify that the *ADX* row indicates **Trend** ($>25$). This confirms that the bullish move has institutional momentum backing it.
4. **Entry Trigger:** Execute when the *EMA 20/50* row transitions to **Buy**.
### 🔸 Short-Side Execution Matrix (Confluence Shorting)
1. **Macro Validation:** Ensure that the *Daily Trend* and *Current Trend* cells display **Bearish** (Crimson Red).
2. **Momentum Alignment:** Look for a cluster of **Sell** signals across *MACD*, *Stoch*, *MFI*, and *RSI*.
3. **Volatility Confirmation:** If price breaks down past a structural level and *Bollinger* shifts out of neutral into an extreme state or *DMI* reads **Sell**, the downward expansion is confirmed.
4. **Entry Trigger:** Execute when the *EMA 20/50* transitions to **Sell**.
### 🛡️ Risk Management & Trailing Protocol
* **Invalidation Point:** If an established Long trade is running and more than three momentum cells (e.g., MACD, Stoch, Fisher) flip rapidly from **Buy** to **Sell**, it signals an impending distribution phase. Use this as an early warning indicator to tighten stop-losses or harvest partial profits before visual price rotation occurs.
---
## ⚠️ RISK DISCLAIMER
Financial market trading involves substantial risk of capital loss. Quantum Trend Matrix is engineered exclusively as a statistical and analytical workflow assistant. Past performance configurations do not dictate, guarantee, or imply future algorithmic outcomes. Always utilize strict capital allocation and risk mitigation frameworks. インジケーター
インジケーター
Portfolio Treemap [invincible3]Portfolio Treemap
Portfolio Treemap is a visual portfolio monitoring dashboard designed to help traders and investors track multiple holdings directly on the TradingView chart.
The indicator allows users to enter up to 20 instruments, including stocks, ETFs, crypto pairs, forex symbols, or other TradingView-supported assets. For each instrument, the user can define the buy price and number of shares or units held. The script then calculates the live market value, cost basis, unrealized profit/loss, and percentage return using real-time chart data.
The dashboard uses a treemap-style layout where larger boxes represent larger portfolio weight based on the selected ranking mode. Box colors show unrealized performance: green for profitable positions and red for losing positions. The stronger the profit or loss percentage, the stronger the color intensity. Empty cells are blended with the chart background for a cleaner and more professional visual appearance.
Key Features:
• Track up to 20 portfolio instruments
• User-defined portfolio name
• Input symbol, buy price, and shares/units for each holding
• Real-time portfolio value, cost, and unrealized P/L
• Treemap-style visual dashboard
• Profit and loss color gradient
• Green boxes for winning positions
• Red boxes for losing positions
• Dynamic text color for light and dark themes
• Empty cells blend with chart background
• Supports stocks, ETFs, crypto, forex, commodities, and indices
• Adjustable dashboard position and size
• Optional portfolio header
• Multiple box-ranking modes: shares, position value, absolute P/L, and absolute P/L %
How to Use:
1. Add the indicator to your chart.
2. Open the indicator settings.
3. Enter your portfolio name.
4. Select each portfolio symbol.
5. Add your average buy price.
6. Add your number of shares or units.
7. Choose how boxes should be ranked: by shares, position value, absolute P/L, or absolute P/L percentage.
8. Use the dashboard to monitor portfolio performance visually.
Color Logic:
• Green = position is in profit
• Red = position is in loss
• Stronger color = larger percentage move
• Neutral color = near breakeven
• Empty spaces blend with the chart background
Important Notes:
For best results, use instruments quoted in the same currency. Mixing assets quoted in different currencies may make the total portfolio value and P/L less accurate unless the user manually adjusts values.
This indicator is intended for portfolio visualization and monitoring only. It does not provide buy or sell signals and should not be treated as financial advice. Always confirm portfolio values with your broker or exchange.
インジケーター
Strong Reversal Signals | ProjectSyndicateStrong Reversal Signals automatically identifies high-probability, non-repainting reversal setups formed after liquidity grabs, then ranks every signal 0–10 with a star strength score so you can instantly see the strongest trades. It calculates adaptive take-profit and stop-loss zones based on Average Daily Range (ADR), after each sweep, and presents a complete statistical breakdown — including win rate by strength tier — on a non-intrusive dashboard to provide a quantifiable, rankable edge.
⭐ Star Strength Ranking (0–10) — every signal is scored across five independently-tested factors (trend context, rejection-wick depth, volatility regime, mean proximity, and sweep depth) and labeled with 1–4 stars. The ranking was validated symbol-out across multiple GBP datasets, so the stars genuinely separate win rate rather than just decorating the chart.
🧠 NRP Liquidity-Grab Reversal Engine — uses a non-repainting pivot/HTF/session engine to detect liquidity sweeps, ensuring signals are stable and never repaint.
🎯 ADR-Adaptive TP/SL Zones — automatically calculates and plots uniform-width TP1, TP2, and SL zones as a percentage of the 10-day ADR, so the strategy dynamically adapts to any asset's volatility. Every historic signal keeps its full zone set on the chart.
🎨 Clean Green/Maroon Theme — BUY Reversal labels are green and SELL Reversal labels are maroon, each carrying its star rank, with fully opaque labels anchored clear of the candles for instant, unobstructed visual confirmation.
📊 Win-Rate-by-Strength Dashboard — a complete statistical overview: real-time ADR10, total trades, wins/losses, total R, expectancy, TP2 hits, the last 10 outcomes, and a dedicated Win Rate By Strength table showing the live win rate and sample size for each star tier (★ through ★★★★).
✅ Strength-Gated Display & Trading — a single "Minimum Stars To Plot" input lets you hide weaker setups and focus only on the strongest, while the dashboard keeps tracking every tier in the background.
🔔 Star-Ranked Alerts — get a single, detailed alert per signal including direction, star rank and strength tier (ELITE/STRONG/MODERATE/WEAK), symbol, timeframe, entry, SL, TP1, and TP2 — formatted for automated trading. A dedicated "Alert Minimum Stars" setting lets you fire alerts on strong setups only.
🔧 Fully Customizable — control everything from liquidity source , pivot length, and the five strength weights to TP/SL percentages, zone width and height, label and dashboard sizes, colors, and the star thresholds for plotting and alerts.
🎯 Why this algo is unique: Standard reversal and ZigZag indicators repaint and offer subjective signals with no statistical backing — and crucially, they treat every signal as equal. This algorithm provides an objective, non-repainting signal engine and ranks each setup by measured strength, with the ranking validated out-of-sample so the strongest signals demonstrably win more often. It builds a complete, quantifiable framework around each reversal with adaptive ADR risk management and a dashboard that proves performance per strength tier on the chart you are trading.
🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any M5/M10/M15/M30/H1. The ADR-based zones and strength engine adapt from M5 scalping to H4 swing trading.
🎯 How to use this? Watch the Win-Rate-by-Strength table to see which tiers perform best on your asset/timeframe, then prioritize ★★★★ setups (or set "Minimum Stars To Plot" to 4). Adjust the TP/SL percentages to your risk tolerance, and favor signals that align with the higher-timeframe trend.
⚠️ IMPORTANT NOTICE: This indicator identifies statistically-backed, strength-ranked reversal signals. The published win rates are historical, measured on specific GBP M10 data and a fixed target geometry — past performance does not guarantee future results, and figures will vary by symbol, timeframe, and settings. The system also wins small per trade relative to its stop (high win rate, modest reward-to-risk), so position sizing matters. It should NOT be used as a standalone entry signal. Always combine it with your own strategy, price action analysis, and risk management. インジケーター
Gold Macro Dashboard [invincible3]Gold Macro Indicator Dashboard
A professional macro-driven gold dashboard designed to evaluate the broader gold market regime using automatically sourced TradingView data. The indicator combines real yields, dollar strength, rate expectations, risk-off demand, gold breadth, and confirmation ratios into a single 0–100 Gold Macro Score.
The model uses a fixed daily macro timeframe, so dashboard readings stay consistent across intraday, daily, and weekly charts.
Main Features
Fixed Daily macro scoring
0–100 Gold Macro Score oscillator
Macro Regime classification
Macro Strength score
Real Yield driver
DXY / US Dollar driver
Gold liquidity proxy
US 2Y rate outlook
VIX risk-off signal
Cross-currency gold breadth
Gold/Silver ratio
Gold/S&P 500 ratio
Copper/Gold ratio
US 10Y–2Y yield spread
Crypto-style clean dashboard layout
Dark/light theme adaptive colors
No manual macro inputs
Score Interpretation
80–100: Strong Bull
60–80: Bullish
40–60: Neutral
20–40: Bearish
0–20: Strong Bear
How It Works
The composite score is weighted as follows:
Real Yield 10Y: 30%
US Dollar DXY: 25%
Gold liquidity proxy: 15%
US 2Y rate outlook: 10%
Risk-Off VIX: 10%
Gold breadth: 10%
Gold breadth checks whether gold is trending higher across major currencies, including XAUUSD, XAUEUR, XAUJPY, XAUGBP, and XAUCNH.
Use Case
This indicator is designed for traders and investors who want a macro-level view of gold’s trend quality. It can help identify whether gold strength is supported by broad macro conditions or only short-term price movement.
Disclaimer
This is an educational macro model only. It is not financial advice and should not be used as a standalone buy or sell signal. Always combine it with your own risk management, technical analysis, and market research. インジケーター
XRS Market Conditions DashboardXRS Market Conditions Dashboard is a compact on-chart dashboard designed to help traders quickly assess current market conditions without cluttering the chart.
This tool displays several key market-read metrics in one simple table:
• ADR – Shows the current daily range compared to the average daily range using a locked 1D calculation.
• Chop Risk – Combines ADX, efficiency ratio, structure agreement, and ATR compression into a simple chop-risk score.
• ADX Strength – Measures trend strength and highlights stronger trend environments.
• ATR Range – Displays current ATR in points.
• Delta Bias – Estimates candle-position-based directional pressure.
• Volume Flow – Compares current volume against recent average volume and percentile ranking.
The dashboard is intended to help identify whether the market is trending, compressed, extended, volatile, or potentially choppy. It can be used as a quick confluence tool alongside price action, VWAP, liquidity levels, session highs/lows, and other auction-market concepts.
Settings are customizable, including dashboard position, font size, opacity, ADR lookback, ADX thresholds, ATR settings, volume thresholds, and chop-score structure inputs.
This indicator does not generate buy or sell signals. It is intended for market context, trade filtering, and discretionary analysis only.
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice. Trading involves risk. Use at your own discretion.
インジケーター
Crypto: Macro Heatmap [invincible3]Crypto Macro Heatmap is an automatic market-regime dashboard designed to summarize crypto macro conditions using liquidity, leverage, breadth, and risk-participation metrics.
The indicator converts multiple market data sources into normalized 0–100 scores and displays them in a structured heatmap table. It is built to help traders quickly understand whether the broader crypto environment is risk-on, neutral, or risk-off.
Main dashboard sections:
1. Liquidity
Tracks Global M2, total crypto market cap, USDT dominance, and BTC volume confirmation. Higher liquidity scores generally suggest stronger macro support for crypto markets.
2. Leverage
Tracks open interest pressure, funding-risk proxy, liquidation-risk proxy, and OI acceleration. Higher leverage scores mean higher stress or crowding risk.
3. Breadth
Tracks TOTAL2, TOTAL3, BTC dominance, ETH dominance, and altcoin participation. This section helps identify whether market strength is broad or concentrated.
Key features:
* Fully automatic scoring
* No manual market-score inputs
* Dashboard show/hide checkbox
* Light/dark chart theme detection
* Composite regime score
* Regime meter
* Market phase detection
* Risk-state classification
* Confidence score
* Section delta versus 7 days ago
* Fixed-width heatmap layout for cleaner visual alignment
The composite score combines liquidity support, market breadth, and leverage-adjusted risk into one regime reading. The dashboard is intended for macro context and regime analysis, not direct buy or sell signals.
Use this tool as a higher-timeframe market filter together with your own technical analysis, risk management, and trading system.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always do your own research and manage risk carefully.
インジケーター
Session Edge Profiler | Flux ChartsGENERAL OVERVIEW:
The Session Edge Profiler is a statistical dashboard indicator that profiles up to five configurable trading sessions (Asia, London, NY AM, NY Lunch, NY PM by default) across the available completed trading days loaded on the chart. The indicator records each session's range, volume, directional outcome, and smart money structure (Fair Value Gaps, swing breaks, higher highs, lower lows) on every completed day, then surfaces the resulting statistics in a configurable on-chart dashboard with progress bars and best value markers.
For every metric, the indicator filters history by the selected weekdays. Range-based metrics are normalized against the previous daily ATR for cross-volatility comparison, while volume, directional, extreme, and structure metrics are calculated directly from completed session records. The indicator also computes percentile rankings of the current session range against its historical distribution. Session boxes can be plotted for visual reference, and a live label tracks the active session's running range against its historical average and percentile rank in real time. The indicator is statistical, session based, dashboard driven, and includes one alert condition for sessions exceeding the 90th percentile of their historical range distribution.
WHAT IS THE THEORY BEHIND THE INDICATOR?:
Markets do not move uniformly across the day. Each trading session carries different participant types, different volume profiles, and different structural behaviors. The Asia session tends to be range bound and accumulative. The London session frequently sweeps overnight liquidity. NY AM often produces the largest expansions of the day. NY Lunch is typically the lowest volume window. NY PM frequently reverses or extends NY AM moves into the close.
These tendencies are widely cited but rarely measured per instrument. The Session Edge Profiler quantifies them. By recording per session statistics across the historical window available on the chart, and by filtering by selected weekdays, the indicator builds an empirical profile of how each session has actually behaved on a specific symbol rather than relying on generalized assumptions. The result is a session level statistical profile that can be compared against the current session in real time, identifying when a given session is behaving unusually large, unusually quiet, or consistent with its historical edge.
SESSION EDGE PROFILER FEATURES:
◇ Session tracking with customizable times, names, and colors
◇ Statistical dashboard with up to thirteen configurable metrics
◇ ATR normalized range comparison across sessions
◇ Today percentile ranking of the live session range
◇ Daily extremes tracking (HOD %, LOD %)
◇ Directional statistics (Bull %, Continuation %)
◇ Volume profiling (Vol Share %, Avg Vol)
◇ Smart money structure analytics (FVGs, Swing Breaks, FVG Survival, HH, LL)
◇ Active session live label with real time percentile and average comparison
◇ Session range boxes with current and historical display
◇ Weekday filtering applied uniformly across all statistics
◇ Dashboard theming (Dark or Light), nine position options, and five text sizes
◇ High percentile range alert
SESSION TRACKING AND RANGE BOXES:
🔹What is Session Tracking?
Session Tracking is the foundation of the indicator. Five configurable session windows are monitored on every bar. When price enters a session window, the indicator opens an active tracking object that records the session's high, low, open price, total volume, and structural events. When price leaves the session window, the active object is closed and its values are committed to the historical record for that session.
🔹Why is Session Tracking important?
Every statistic computed by the indicator depends on accurately segmenting the trading day into sessions. Without a reliable session lifecycle, range comparisons, HOD/LOD attribution, volume share, and structure counts would be inconsistent. The session lifecycle also defines what gets drawn on the chart: the live range box for the current session and, optionally, persistent boxes for historical sessions.
🔹How is Session Tracking detected and calculated?
Every bar is checked against the configured session time windows in New York time. The moment price enters a session window, a new session opens: the session's high, low, open, and volume start fresh, and the FVG, swing break, HH, and LL counters reset to zero. While the session is active, the high updates to the running maximum, the low updates to the running minimum, and volume accumulates with each new bar. When price leaves the session window, the session is closed: the final high, low, open, close, and volume are committed and the session is marked complete for the day.
A trading day boundary is determined by shifting time forward by 6 hours and comparing the resulting calendar date in New York time. This shift causes a new day to register at 18:00 NY time, aligning the trading day with the start of the Asia session at 19:00 NY. When a new trading day begins, the completed session statistics from the previous day are added to each session's history along with the weekday they were recorded on, the daily fields reset, and a new tracking cycle begins.
🔹Settings: Sessions Group
◇ Enable Toggle: Turns the session on or off. Disabled sessions are excluded from the dashboard, the live label, and all calculations.
◇ Session Name: Custom label used in the dashboard column header, on the session box, and in the active session label. Defaults: Asia, London, NY AM, NY Lunch, NY PM.
◇ Session Time: The session window in NY time using HHMM,HHMM format. Defaults: Asia 1900,0200, London 0200,0830, NY AM 0830,1200, NY Lunch 1200,1330, NY PM 1330,1600.
◇ Session Color: Color applied to the dashboard column header (when active), the session box border and background, and the active session label.
🔹Customization
Display Group
◇ Show Session Ranges: When enabled, plots a translucent box around the current session showing its running high and low, with the session name labeled in the top left corner. Historical session boxes are also retained on the chart for visual reference.
◇ Show Active Session Stats: When enabled, plots a live label next to the most recent bar of the active session displaying the session name, current range, current range as a percentage of historical average, and current percentile rank.
◇ Label Size: Sets the text size of the active session label. Options: Tiny, Small, Normal, Large, Huge.
STATISTICAL DASHBOARD:
🔹What is the Statistical Dashboard?
The Statistical Dashboard is a configurable table that summarizes the historical statistical profile of every enabled session. Rows correspond to metrics. Columns correspond to sessions. Each cell shows the metric value for that session, optionally rendered with a unicode progress bar and a star marker (★) for the session with the highest value on metrics where "highest" is the meaningful target.
🔹Why is the Statistical Dashboard important?
The dashboard is where the indicator's measurements surface. Rather than requiring a trader to scroll through chart history and visually estimate session behavior, the dashboard reduces the entire weekday filtered history of every session to a compact table of directly comparable numbers. The header line shows the active weekday filter and the maximum number of historical days used in any cell, providing immediate context for the statistical sample size.
🔹How is the Statistical Dashboard calculated?
On the most recent bar of the chart, the indicator reviews each enabled session's stored history. For every past session, it checks whether the weekday it was recorded on is included in the selected weekday filter. If yes, the session contributes to the running totals: range sums, volume sums, HOD/LOD counts, bull counts, continuation counts, FVG counts, swing break counts, HH counts, LL counts, and volume share. After the review, totals are converted to averages or percentages and written to the dashboard cells.
Best value markers are computed by tracking the maximum value across all enabled sessions for the metrics where "highest" is the intended target: Avg Range, HOD %, LOD %, Avg FVGs, and FVG Survival %. For metrics where directional bias matters (Bull %, Continuation %) or where higher is not strictly better (Vol Share %, Avg Swing Breaks, Avg HH, Avg LL), no best marker is shown.
[Screenshot: Full dashboard table screenshot in Dark Mode with every metric row enabled. Header line showing the active weekday filter and sample size, column headers in each session's color, progress bars rendered in percentage cells, and the SMART MONEY divider row visible separating the structural metrics from the range and directional metrics above.
🔹Settings: Dashboard Group
◇ Show Dashboard: Master toggle for the entire dashboard. When disabled, no table is rendered.
◇ Theme: Dark Mode or Light Mode. Controls background, row, header, and text colors. The best value highlight cell uses a deeper accent color on the selected theme.
◇ Position: Table placement on the chart. Options cover all nine combinations of vertical (Top, Middle, Bottom) and horizontal (Left, Center, Right) anchoring.
◇ Text Size: Tiny, Small, Normal, Large, Huge. Affects every cell.
◇ Show Progress Bars: When enabled, percentage and percentile cells render an 8 segment unicode bar alongside the numeric value, scaling from 0% to 100%. When disabled, only the numeric value is shown.
🔹Customization
Metric Toggles
Each of the following dashboard rows can be independently shown or hidden:
◇ Avg Range (ATR%)
◇ Vol Share %
◇ Avg Vol
◇ HOD %
◇ LOD %
◇ Bull %
◇ Continuation %
◇ Today Percentile
◇ Avg FVGs
◇ Avg Swing Breaks
◇ FVG Survival %
◇ Avg HH
◇ Avg LL
🔹Signal Colors
◇ High: Color applied to high tier values (Today Percentile at or above 75, FVG Survival at or above 70). Default: green.
◇ Mid: Color applied to mid tier values (Today Percentile between 25 and 75, FVG Survival between 40 and 70). Default: orange.
◇ Low: Color applied to low tier values (Today Percentile at or below 25, FVG Survival below 40). Default: red.
ATR NORMALIZED RANGE STATISTICS:
🔹What is ATR Normalized Range?
The Avg Range (ATR%) metric expresses each session's average range as a percentage of the daily Average True Range. A value of 45% means the session, on average, covered 45% of a full day's ATR.
🔹Why is ATR Normalized Range important?
Raw range values cannot be compared across instruments or across volatility regimes. A 200 point range means very different things in calm versus volatile markets. Normalizing by daily ATR removes that distortion: the resulting percentage is directly comparable between sessions, between symbols, and between months of history.
🔹How is ATR Normalized Range calculated?
For each completed session, the raw range (session high minus session low) is divided by the daily ATR value of the previous completed day. The daily ATR uses a configurable length (default 14) and is always read from the previous daily bar, which means the value is fixed for the entire current trading day and never repaints. The session's normalized range is stored alongside its weekday in the history. When the dashboard renders, the indicator averages all normalized ranges from sessions whose weekday passes the filter, then multiplies by 100 to produce the displayed percentage.
🔹What is Today Percentile?
Today Percentile expresses where the current session's live range sits within the historical distribution of that same session's past ranges. The comparison stays within the session: today's London is compared only against past Londons, today's NY AM only against past NY AMs, and so on, all filtered by the selected weekdays. A value of 80 means the live range is larger than 80% of past occurrences of the same session on those weekdays.
🔹How is Today Percentile calculated?
For each enabled session, the indicator computes the current normalized range (current session range divided by daily ATR). It then walks through that session's own past history, counting how many past sessions have a normalized range less than or equal to the current value, while skipping any past session whose weekday is not enabled in the filter. The percentile is the percentage of qualifying past sessions at or below the current value.
The cell color reflects the tier: at or above 75 uses the High color, at or below 25 uses the Low color, otherwise the Mid color. The numeric value is rendered with an ordinal suffix (1st, 2nd, 3rd, 4th, and so on) for readability, and the progress bar segments scale from 0 to 100.
🔹Settings:Filters Group
◇ ATR Length: Lookback for the daily ATR used in normalization. Range: 5 to 50. Default: 14.
DAILY EXTREMES TRACKING:
🔹What are HOD % and LOD %?
HOD % measures how often a given session contained the day's highest price. LOD % measures how often it contained the day's lowest price. Both are expressed as a percentage of the total weekday filtered days in history.
🔹Why are HOD/LOD statistics important?
Knowing which session historically sets the daily extreme on a given instrument helps frame intraday liquidity expectations. A session with a high HOD % is the session that most frequently posts the day's selling extreme. A session with a high LOD % most frequently posts the day's buying extreme. On many instruments NY AM dominates both, but the ratio shifts by symbol and by weekday, which is why measuring rather than assuming is useful.
🔹How are HOD % and LOD % calculated?
While the trading day is in progress, the indicator continuously tracks the day's running high and running low across all bars, not just within session windows. When a new trading day begins, every completed session from the previous day is checked: if the session's recorded high matches the day's high, that session is tagged as the HOD session; if its low matches the day's low, it is tagged as the LOD session. These tags are stored with the session in history. When the dashboard renders, it counts how many sessions in the weekday filtered history carry each tag and converts those counts to percentages. The session with the highest HOD % across all enabled sessions receives a star marker, and the same applies to LOD %.
DIRECTIONAL STATISTICS:
🔹What are Bull % and Continuation %?
Bull % is the percentage of historical sessions that closed higher than they opened. Continuation % is the percentage of historical sessions whose direction matched the previous occurrence of the same session.
🔹Why are directional statistics important?
Bull % captures the session's directional skew. A session with Bull % consistently above 60% on a particular instrument and weekday set has a measurable upward tendency. Continuation % captures the session's persistence: a high continuation rate means the session frequently extends the previous day's same session direction, while a low rate suggests the session tends to reverse the prior day's bias.
🔹How are Bull % and Continuation % calculated?
For each completed session, Bull is true when the session's close (the chart close at the bar where the session ended) exceeds its open. Continuation is true when the previous occurrence of the same session was bullish in the same direction (both bullish or both bearish). The very first occurrence in history has no previous reference and is excluded from the continuation calculation. The dashboard divides the bullish session count by the total session count for Bull %, and the matched continuation count by the continuation eligible count for Continuation %.
No best value marker is shown for either metric, since "highest" is not inherently better: directional bias and continuation are interpretive measurements rather than competitive ones across sessions.
VOLUME PROFILING:
🔹What is Volume Profiling?
The indicator tracks two volume metrics per session: Vol Share % (the session's average share of total daily volume) and Avg Vol (the session's average absolute volume).
🔹Why is Volume Profiling important?
Volume distribution across the day reveals participant activity. Sessions that historically account for a disproportionate share of daily volume are the sessions where flow is most concentrated. Sessions with low volume share (typically NY Lunch) are statistical low conviction windows where moves are more likely to be lower quality.
🔹How is Volume Profiling calculated?
While each session is active, the indicator accumulates bar volume into the session's running total. When the trading day rolls over, total day volume is computed as the sum of all completed session volumes for that day. Each session's Vol Share is then computed as its session volume divided by total day volume, multiplied by 100, and saved into the session's history alongside the absolute volume. When the dashboard renders, Avg Vol is the simple weekday filtered mean of recorded session volumes, and Vol Share % is averaged across the weekday filtered history.
SMART MONEY STRUCTURE ANALYTICS:
🔹What are the Smart Money metrics?
The Smart Money section of the dashboard surfaces four structural counters per session:
◇ Avg FVGs: average number of Fair Value Gaps formed during the session.
◇ Avg Swing Breaks: average instances where the close pierces a previously confirmed pivot high or pivot low.
◇ FVG Survival %: percentage of FVGs that were not invalidated within the same session in which they formed.
◇ Avg HH and Avg LL: average count of new higher highs and lower lows in pivot structure during the session.
🔹Why are Smart Money metrics important?
These metrics quantify the structural activity of each session. High FVG counts indicate aggressive displacement and gap creation. High Swing Break counts indicate liquidity sweeps and structural inflection. FVG Survival measures how often gaps formed during the session are respected (not immediately filled in the opposite direction), giving a session level reliability score for the FVG concept. HH and LL counts profile each session's tendency to extend structure in one direction versus the other.
🔹How are Smart Money metrics calculated?
A Fair Value Gap is detected as a 3 bar pattern: a bullish FVG forms when the current bar's low sits above the high from two bars ago, and a bearish FVG forms when the current bar's high sits below the low from two bars ago. Whenever an FVG forms during an active session, the session's FVG counter increments and the gap level (the high from two bars ago for a bullish FVG, the low from two bars ago for a bearish FVG) is added to a list of active gaps for that session, along with its direction.
On every later bar within the same session, the indicator checks each active gap. If price closes below a bullish FVG's level, or closes above a bearish FVG's level, the gap is treated as invalidated and removed from the active list, and the session's invalidation counter increments. At the end of the session, FVG Survival % is computed as the count of total FVGs minus invalidated FVGs, divided by total FVGs, expressed as a percentage. The cell is color coded by tier: at or above 70 uses High, at or above 40 uses Mid, otherwise Low.
Swing breaks use a configurable pivot strength (default 5 bars on each side). When a pivot high confirms and price subsequently closes above that pivot level, a bullish swing break fires and the pivot is consumed (cleared from active tracking). The same applies symmetrically for pivot lows. Each break increments the active session's Swing Break counter.
HH and LL counts use the same pivot detection. When a new pivot high confirms with a level greater than the session's previous tracked pivot high, the session's HH counter increments. When a new pivot low confirms with a level less than the session's previous tracked pivot low, the LL counter increments.
🔹Settings: Filters Group
◇ Pivot Strength: Bars on each side required to confirm a pivot high or pivot low for the swing break and HH/LL calculations. Range: 2 to 20. Default: 5. Higher values produce fewer, more significant pivots; lower values produce more frequent, noisier pivots.
ACTIVE SESSION LIVE LABEL:
🔹What is the Active Session Live Label?
A floating label that appears next to the most recent bar of the active session, displaying live statistics for the session currently in progress.
🔹Why is the Active Session Live Label important?
The dashboard summarizes completed historical sessions. The live label answers a different question: how does the session that is currently developing compare to history, right now? It allows a trader to see, mid session, whether the current session is tracking above, near, or below its average range and what percentile it currently occupies, without waiting for the session to close.
🔹How is the Active Session Live Label calculated?
The label content includes the session name, the live range (current session high minus current session low), the ratio of the live normalized range to the historical average normalized range expressed as a percentage, and the current percentile. The percentile is computed by iterating the session's weekday filtered history and counting how many records have a normalized range at or below the live value.
The label position updates every bar to track the right edge of the current session at its current high. When the session ends, the label is deleted.
🔹Settings
◇ Show Active Session Stats: Toggle for the label.
◇ Label Size: Sets text size. Options: Tiny, Small, Normal, Large, Huge.
WEEKDAY FILTERING:
🔹What is Weekday Filtering?
A set of seven toggles (Sunday through Saturday) that determines which weekdays contribute to every statistic on the dashboard, the live label, and the alert condition.
🔹Why is Weekday Filtering important?
Session behavior is not uniform across the week. Monday open behavior differs from midweek behavior. Friday afternoon often shows reduced participation. By filtering history to only the selected weekdays, traders can profile each session under conditions that match the current trading day, rather than averaging in unrelated days.
🔹How is Weekday Filtering applied?
Each session in history is tagged with the weekday it was recorded on. Every calculation in the dashboard, the live label, and the alert checks that weekday against the user's selection and skips any session whose weekday is not enabled. The dashboard header line displays a compact label of the active filter: "All" when every weekday is enabled, "Weekdays" when only Monday through Friday are enabled, or a custom combination such as "M/Tu/W" otherwise. The header also shows the largest number of sessions any column was able to use after filtering, which serves as the sample size indicator.
🔹Settings: Filters Group
◇ Sun, Mon, Tue, Wed, Thu, Fri, Sat: Individual toggles. Defaults: Mon, Tue, Wed, Thu, Fri enabled; Sun and Sat disabled.
ALERTS:
🔹What alerts are available?
A single alert condition is provided:
◇ Range > 90th Percentile: Fires when an active session's current normalized range exceeds the 90th percentile of its weekday filtered historical normalized range distribution.
🔹When does it fire?
On every bar where at least one enabled, active session has a current normalized range above which 90% of its history sits. The alert fires once per qualifying bar, allowing traders to be notified when a session is in the process of becoming statistically large relative to its own history.
IMPORTANT NOTES:
◇ All session times are evaluated in New York time regardless of the chart's display timezone. Adjust session times if profiling instruments where session timing conventions differ from the defaults.
◇ Trading day boundaries are anchored to 18:00 NY time (the 6 hour shift before midnight) so that the Asia session opens at the start of each new trading day. This is the convention used for HOD/LOD attribution and for pushing completed session records to history.
◇ Daily ATR is always read from the previous completed daily bar. This means the value used for normalization is fixed for the current trading day and does not repaint as new bars print, while still giving the live percentile calculations a stable reference.
◇ The session history for each session is built progressively as the chart loads. Sessions on the very first day on the chart cannot contribute to continuation statistics because no earlier occurrence of the same session exists to compare against.
◇ Best value markers (★) are shown only on metrics where "highest" is the meaningful target: Avg Range, HOD %, LOD %, Avg FVGs, and FVG Survival %. Other metrics intentionally omit the marker.
◇ FVG Survival counts gaps that survive to the end of the session in which they formed. A gap that survives the session but is invalidated on a later day is still counted as survived for the session that created it.
UNIQUENESS:
The Session Edge Profiler distinguishes itself from common session indicators in several ways. Most session tools plot boxes and stop there, while this indicator extends session tracking into a full statistical profile with thirteen configurable metrics per session, reducing the entire history of every session to a single, scannable table. Range comparisons use ATR normalization rather than raw point values, making the dashboard meaningful across volatility regimes and instruments without per chart recalibration, and percentile ranking of the live session against history provides a single number answer to a question many traders ask intuitively: is this session unusually large or unusually small for this time and this weekday? FVG and swing break tracking are integrated into the session profile rather than treated as separate indicators, allowing direct comparison of which session produces the most structural activity and how reliable that structure tends to be on a given instrument. FVG Survival % quantifies a concept that is rarely measured anywhere else: how often each session's FVGs actually hold within their own session, converting a qualitative idea into a session level reliability score. Weekday filtering applies uniformly to every statistic on the dashboard, the live label, and the alert, allowing traders to profile sessions only on days that match the current trading day rather than diluting the sample with unrelated weekdays. Best value markers and progress bars make the dashboard scannable at a glance, with the strongest session per metric immediately visible without parsing numbers. Finally, the active session live label provides real time positional context that complements the historical dashboard: the dashboard answers what a session usually does, while the label answers what the session is doing right now, with both views driven by the same underlying statistical model. インジケーター
RSI Divergence: Out-of-Sample Optimizer [LuxAlgo]The RSI Divergence: Out-of-Sample Optimizer indicator is a comprehensive backtesting and optimization tool designed to identify the most effective RSI period for trading price-RSI divergences within a specified historical window and validate those results through out-of-sample and forward testing.
🔶 USAGE
The script is divided into three distinct chronological phases to simulate a professional quantitative workflow:
🔹 In-Sample (IS) Optimization
During this period (highlighted by the first background gradient), the script simulates dozens of RSI periods simultaneously. It calculates divergence signals and trade outcomes for every period within the user-defined range (e.g., RSI 2 to 50). The "best" period is selected based on your chosen Optimization Metric, such as Net Profit or Profit Factor.
🔹 Out-of-Sample (OOS) Validation
Once the best RSI period is identified in the IS phase, the script "locks" that parameter and applies it to the next segment of data (the OOS period). This tests whether the strategy’s performance was due to genuine market alpha or simply "curve-fitting" to historical noise.
🔹 Forward Testing
The Forward period represents the most recent data leading up to the current bar. The script continues using the parameter validated during the OOS phase to show how the strategy is performing in the current market environment.
🔶 DETAILS
🔹 Divergence Detection
The script identifies regular bullish and bearish divergences. A bullish divergence occurs when price makes a lower low while the RSI makes a higher low. A bearish divergence occurs when price makes a higher high while the RSI makes a lower high. The script uses pivot lookback settings to confirm these peaks and troughs.
🔹 Trade Execution Logic
Trades are entered on the bar following a confirmed divergence. Stop loss and take profit levels are calculated using an ATR (Average True Range) multiplier to account for market volatility. Users can also enable "Exit on Opposite Signal" to close trades if a contrary divergence appears before hitting a price target.
🔹 Sensitivity Analysis (Heatmap)
The dashboard includes a "Sensitivity Table" that acts as a heatmap. It displays every RSI period tested during the In-Sample phase. Darker green cells indicate superior performance, while darker red cells indicate poorer performance based on the selected optimization metric. This allows you to see if your "best" setting is an outlier or part of a robust cluster of profitable periods.
🔶 SETTINGS
🔹 Optimization & Backtest Ranges
In-Sample Start/End: Defines the historical window used to find the best performing RSI period.
Out-of-Sample Start/End: Defines the validation window where the best IS period is tested on unseen data.
Min/Max RSI Period: The range of RSI lengths the script will simulate (e.g., 2 to 50).
Optimization Metric: The primary KPI used to rank RSI periods (e.g., Sharpe Ratio, Win Rate, Net Profit).
🔹 Divergence Settings
Pivot Left/Right Bars: The number of bars required on either side of a point to confirm a local high or low in the RSI.
Max Divergence Bars: The maximum distance allowed between two pivots to qualify as a divergence.
🔹 Trade Rules
Stop Loss/Take Profit ATR Multiplier: Controls the distance of exit levels based on recent volatility.
Exit on Opposite Signal: When enabled, a long trade will close immediately if a bearish divergence is detected.
🔹 Dashboard
Extra Dashboard Metric 1/2: Allows you to add two additional performance statistics to the dashboard (e.g., Z-Score or Average Trade) alongside the default metrics.
Dashboard Position/Size: Adjusts the UI elements to fit your screen resolution and preference.
インジケーター
インジケーター
