インジケーター
Trend Dashboard - Direction and StrengthTrend Dashboard - Direction and Strength.
A single compact table that reads eleven trend, momentum, volatility, structure and volume-flow indicators on up to four timeframes at once. The directional readings are condensed into a score and a categorical verdict for each timeframe, while trend strength is reported separately by the ADX row and never enters the sum, so direction and strength stay two distinct answers. Built for top-down traders who want the confluence check they normally perform by switching charts to happen in one place, on the chart they are already trading.
How it works:
Every indicator for a given timeframe is computed inside one function and delivered by a single request.security call per timeframe, with lookahead disabled, so the table never reads data that was not available at the time of the bar. The four timeframe slots are user-assigned and default to daily, 4 hours, 1 hour and 5 minutes. Column headers are derived from the assigned timeframe itself, so reassigning a slot relabels the column. Market structure is delivered by a second request per timeframe: it tracks confirmed swing highs and lows over a configurable pivot window, registers the direction of the last break, and counts how many continuation breaks have followed the last change of character.
The table is rebuilt on the last bar only and cells are wiped before each refill, so toggling a timeframe off cannot leave stale values in a column that has shifted. Rows are ordered by the weight of the information they carry: structural context first, then macro regime, then medium-term structure, momentum, strength and the local price position, followed by the three context rows and the score and verdict at the bottom. A marker column carries a coloured dot for rows that must not be read as ordinary trend votes: orange for mandatory context that stays outside the score, white for indicators running on simplified parameters or on an approximation, blue for market structure. The script also detects whether the symbol reports volume. On symbols with no volume feed, cumulative volume delta and OBV divergence print a dash instead of a neutral reading, and the volume delta vote is dropped from the score, which lowers the maximum from eight to seven while the verdict thresholds stay absolute.
What it calculates:
- Market structure — direction of the last swing break, with a phase suffix (C, C+1, C+2 and higher) counting continuation breaks since the last change of character.
- EMA mid/slow — macro regime, the golden and death cross relation.
- EMA fast/mid — medium-term trend structure.
- SuperTrend — ATR trailing direction, computed from a configurable ATR length and factor.
- Ichimoku Kumo — price against the cloud built from the 9, 26 and 52 bar ranges.
- MACD — bullish only when the MACD line leads the signal line and the histogram agrees.
- RSI — directional reading around the midline, with the raw value shown in the cell.
- CVD — cumulative volume delta approximated from the position of the close inside the bar range, read as the agreement between flow slope and price slope.
- Price vs fast EMA — the local position of price, the most sensitive of the trend votes.
- ADX and DMI — trend strength with the raw ADX value shown in the cell, and direction from the DMI pair once the threshold is met.
- OBV divergence — price extreme of the window not confirmed by cumulative volume.
- RSI divergence — price extreme of the window not confirmed by momentum.
- Score — the sum of the eight directional votes per timeframe, shown against the maximum available on the symbol.
- Verdict — STRONG BULL, BULL, MIXED, BEAR or STRONG BEAR, derived from absolute score thresholds.
Key features:
- Four independently assignable timeframe slots, each with its own visibility toggle. Hidden columns shift the remaining ones left and are excluded from the alignment alerts.
- Column headers derived from the assigned timeframe, formatted as 1D, 4H, 1H, 5M rather than fixed labels.
- Separation of directional votes from context. Market structure, ADX and the two divergence rows are displayed but never summed into the score, so trend strength and reversal warnings are not confused with direction.
- Automatic handling of symbols without volume: the affected rows print a dash and the score maximum drops to seven, with verdict thresholds left absolute.
- Per-row tooltips that state what the indicator measures, how to read the three states, its role inside the system and its known failure modes.
- Configurable parameters for every indicator: EMA lengths, RSI length and thresholds, MACD triplet, ADX length and threshold, SuperTrend ATR and factor, CVD lookback, OBV and RSI divergence windows, and the market structure pivot window with a choice between candle close and wick confirmation.
- Ten alert conditions: a bullish and a bearish verdict transition for each of the four timeframes, plus full bullish and bearish alignment across all visible timeframes.
- Table position and text size selectable, with all signal and table colours exposed as colour inputs.
Who it's for:
Trend followers, swing traders and intraday traders who work top-down and want the higher timeframe bias, the execution frame and the entry frame visible at the same time. It suits price-action and SMC or ICT workflows that treat break of structure and change of character as the primary context, and momentum-based approaches that need a strength filter before acting on a directional signal. The outcome is one table that answers whether a trend exists, which way it points on each timeframe, and where the timeframes disagree, without stacking a dozen overlays on the chart. インジケーター
Multi Timeframe State Dashboard [Pineify]Multi Timeframe State Dashboard
Overview
This confirmation-aware TradingView dashboard condenses six reference timeframes into one matrix. Each row pairs the last closed state with the forming state and shows its trend, RSI, and ATR-percentile evidence.
Problem Definition
A basic multi-timeframe table colors each timeframe from its latest value. It hides whether a higher-timeframe bar has closed, so apparent agreement can disappear before confirmation. It also treats quiet drift and high-volatility impulse alike. Duplicate inputs overweight one horizon, while a reference below the chart requires a different sampling method. The script separates these cases.
Design Rationale
EMA slope is normalized by ATR so direction is comparable across price and volatility scales. RSI adds bounded momentum around 50; ATR percentile labels energy without choosing direction. A weighted score replaces unrelated votes, while strong trend/RSI opposition becomes CONFLICT rather than false neutrality. The matrix sacrifices each component's full path for scan speed. Pairing confirmed and live states preserves the compact view while making temporal uncertainty observable.
Key Features
Six slots with duplicate and lower-timeframe diagnostics.
CONFIRMED and LIVE states with visible drift.
Impulse, directional, bias, quiet, neutral, and conflict classes.
Closed-bar consensus, optional background, and alignment alerts.
How It Works
Each slot makes a live request with lookahead disabled and a prior-bar request for confirmed higher-timeframe data. When a slot equals the chart timeframe, its current value is confirmed only after that chart bar closes.
EMA change over the slope lookback is divided by ATR and a scale, then clipped to -1 through +1. RSI is centered at 50, divided by 25, and clipped likewise. ATR receives a 0-100 percentile rank. Direction is 55% trend and 45% momentum. Strong opposite components produce CONFLICT. Thresholds create bias or direction. Hot direction becomes IMPULSE; a small quiet score becomes QUIET.
Consensus counts only enabled, unique references equal to or higher than the chart. ALL BULLISH or ALL BEARISH requires every valid confirmed state to share direction. DRIFT counts live states that differ from confirmed partners. WARM-UP remains visible until all rolling histories exist; missing values are not replaced with zero.
How Multiple Indicators Work Together
EMA slope supplies persistent direction, RSI tests momentum support, and ATR percentile separates low-energy drift from expansion. Without slope, brief momentum could define trend; without RSI, a slow average could ignore opposition; without volatility, quiet and impulse states would share a label. The sequence is direction, agreement, then energy. Confirmed/live pairing adds time status, not another signal.
Trading Ideas and Insights
Use confirmed consensus as context for a separate setup. A lower-chart process can ask whether higher horizons are bullish, bearish, or mixed. More DRIFT rows show forming bars challenging closed evidence, not a confirmed reversal. QUIET describes low-energy alignment; IMPULSE describes high ATR rank. Price structure, execution, and risk still need independent rules.
Unique Aspects
The contribution is a confirmation-aware state lattice, not adjacent indicator readings. Every row preserves closed and forming versions of one state, flags their difference, and removes duplicate or lower references from consensus. Volatility changes the class but cannot select bullish or bearish direction. Agreement is therefore auditable as confirmed evidence, developing drift, warm-up, or invalid configuration. The implementation is independent.
How to Use
Set enabled references equal to or higher than the chart timeframe.
Read CONFIRMED for stable context and LIVE for the forming bar.
Check TREND, RSI, and ATR % before interpreting color.
Treat LOWER TF, DUPLICATE, and WARM-UP as diagnostics.
Combine alerts with separate entry, exit, sizing, and invalidation rules.
Disable unused rows so the consensus denominator stays intentional.
Customization
EMA length and slope lookback control directional memory; ATR slope scale controls normalization. RSI length changes momentum response. ATR length and percentile lookback define volatility context. Direction and conflict thresholds set classification strictness. Quiet percentile must remain below hot percentile. Timeframe inputs set horizon coverage. Display controls cover numeric suffixes, table corner, dashboard, and chart background.
Assumptions and Limitations
EMA, RSI, and ATR lag and are parameter-sensitive. ATR percentile is relative, not an absolute risk forecast. LIVE can change on every update; CONFIRMED waits for completed reference bars and adds delay. A newly closed higher-timeframe value appears when the next chart bar exposes it. Data gaps or limited history can distort ranks. Lower references are rejected. It does not model execution, risk, performance, or future prices. Alerts report alignment only.
Conclusion
Only valid, unique, closed-bar states determine consensus; live states explain drift. This invariant keeps six horizons readable while exposing calculations, confirmation status, and failure conditions instead of hiding them behind one color.
インジケーター
Multi EMA SMA Pro - 5/13/20/50/100/200 - MTFMULTI EMA/SMA PRO — 5/13/20/50/100/200 + MTF
Nine independent moving averages in one indicator, each with its own length,
type, timeframe, color and width. Defaults give you the classic 20 / 50 / 100 /
200 on your chart timeframe, with 5 and 13 a click away.
EVERY LINE IS LABELLED
No more guessing which line is which. Each average is tagged at the right edge
with its length — and optionally its type, its timeframe, its current value, and
how far price sits from it in percent. You read "200 D +18.06%" straight off the
chart instead of hovering over lines to find out.
DAILY / WEEKLY / MONTHLY AVERAGES ON ANY CHART
Every slot has a Chart / Daily / Weekly / Monthly / Custom selector, so you can
sit on a 5-minute chart and still see exactly where the daily 200 and the weekly
200 are — the levels that actually decide intraday reversals. Slots 7, 8 and 9
come pre-set to 200 D, 30 W and 200 W. Each higher-timeframe line is tagged with
D, W or M so there is never any ambiguity about what you are looking at. Ask for
a timeframe below your chart and the slot quietly falls back to chart data rather
than returning misleading values.
INFO TABLE
An on-chart panel lists every enabled average, its current value, and how far
price is above or below it in percent, color-coded green and red. It is the
fastest way to tell whether price is extended and due a snap back, or resting on
support. Decimal precision is adjustable.
GOLDEN CROSS / DEATH CROSS, DONE PROPERLY
GC/DC detection is on by default and measured on the DAILY 50 vs 200 no matter
what timeframe you are viewing — so an intraday chart shows the real cross, not a
5-minute imitation of one. Markers carry their own context: "GC 50/200 D".
Lengths, timeframe and MA type are all configurable, or you can point the cross
logic at any two of your plotted lines instead.
EVERYTHING ELSE
- EMA / SMA / WMA / HMA / RMA / VWMA globally, or overridden per line
- Custom source, plot offset, transparency, per-line width and color
- Line / step-line / circles / cross plot styles
- Slope-based coloring (green rising, red falling)
- Ribbon fill between any two averages
- Alerts for price crossing each average, plus golden and death cross
- Palette chosen to stay readable on both light and dark chart backgrounds
A NOTE ON HIGHER-TIMEFRAME DATA
Leave "wait for bar close" off and the daily and weekly lines update live inside
the forming candle, which is usually what you want when trading. The trade-off is
that an intraday cross can appear and then disappear before the session closes.
Turn it on for confirmed, non-repainting values that step one bar late.
If you find this useful, a boost is appreciated. Suggestions and feedback welcome in the comments.
Open-source — feel free to study, fork, and adapt. インジケーター
Volatility Position Risk Planner [Pineify]Volatility Position Risk Planner
Overview
This indicator converts a trade idea into a stress-sized quantity. Its corridor separates target, nominal risk, and reserve; a ledger identifies the binding constraint.
Problem Definition
A basic position size calculator divides account risk by entry-to-stop distance. It ignores fills beyond a stop during gaps, slippage, and per-unit cash costs. A tight stop can also produce notional exposure disproportionate to the account. The result may satisfy nominal loss math while violating another capital limit. This script instead asks what quantity fits both a stated stress-loss budget and an exposure ceiling under the units supplied by the user.
Design Rationale
Technical invalidation and execution uncertainty are separate. The stop says where the setup fails; ATR gap allowance and tick slippage extend a stress boundary. Cash cost remains in currency units. This replaces inflating one ATR multiplier, which would mix stop logic and reserve.
Risk and notional capacity are calculated independently. The smaller candidate is rounded down, leaving some budget unused but avoiding either limit. The target uses stress price distance for a consistent visual scale; it is not a forecast.
Key Features
ATR, structure, or wider-of-both stop logic.
Separate gap, slippage, and cash-cost reserves.
Risk and exposure candidates with a binding constraint.
Step rounding plus utilization and headroom diagnostics.
How It Works
Current close rolls with price; Manual price fixes entry. ATR comes from chart OHLC. Stop distance is ATR times its factor, directional distance to structure, or the wider valid distance. The stop is tick-normalized.
The reserve adds ATR times Gap reserve and slippage ticks, producing a stress edge. Nominal unit risk is stop distance times point value plus cash cost; stress unit risk uses the full distance to that edge. Account size times risk percent, divided by stress unit risk, gives the risk candidate.
Entry times point value estimates unit notional. Account size times Maximum notional exposure, divided by unit notional, gives the exposure candidate. The smaller quantity is rounded down by step. Nominal risk, stress risk, reserve cash, both utilizations, and unused budget are then reconciled. Warm-up, wrongly sided stops, invalid units or prices, and sub-step quantities are rejected.
How Multiple Indicators Work Together
This is a causal chain, not a signal stack. ATR scales stop and gap allowance; structure supplies price invalidation. Point value converts distance into cash risk. Risk budget limits stress loss; exposure limits concentration. Removing ATR ignores current range, removing structure loses chart context, and removing either capital constraint leaves one dimension unchecked. Corridor and ledger expose each link.
Trading Ideas and Insights
Compare the same setup under different volatility, reserve, and exposure assumptions. RISK means stress-loss capacity is tighter; EXPOSURE means concentration controls size; BOTH means candidates are close within half a quantity step. A large amber zone relative to red shows that execution assumptions materially reduce size. Headroom is cash left after rounding, not permission to exceed the constraint.
Unique Aspects
The structural contribution is a two-stage constraint lattice. Technical invalidation and execution overrun first become auditable loss layers. The stress-loss candidate then competes with an independent exposure candidate before step rounding. The ledger reconciles final quantity to both budgets and names the binding one, showing how much risk belongs to the stop, how much to reserve, and when exposure overrides them.
How to Use
Choose direction and a rolling or manual entry.
Select ATR, structure, or combined stop logic; verify stop direction.
Enter reserve, cost, account, point value, step, and exposure data from broker specifications.
Proceed only at PLAN READY; note quantity and binding constraint.
Read amber as a stress boundary, not another order or a guaranteed fill limit.
Customization
ATR length and multiple control the volatility stop. Gap reserve adds a scaled allowance; slippage ticks add a fixed allowance. Cash cost must share the account-currency and quantity convention. Exposure above 100% should be deliberate leverage, not assumed margin. Visual switches hide corridor, candidates, labels, or ledger without altering calculations or alerts. Projection bars change drawing length only.
Assumptions and Limitations
This calculator omits liquidity, partial fills, spreads, rejection, margin tiers, liquidation, currency conversion, financing, tax, and minimum notional. A gap can exceed reserve, so stress risk is a scenario, not maximum loss. Point value, cost, step, currency, and exposure need compatible units; metadata may differ from a broker contract.
Current close, ATR, corridor, and quantity can change intrabar. Manual entry is fixed, but ATR values still move. Confirmed-bar alerts can miss a reversed intrabar touch, and gaps can cross boundaries before processing. Drawings show only the latest plan. The script estimates no probability, return, win rate, or stop quality. Nonstandard charts and illiquid markets can make ATR a poor execution proxy.
Conclusion
This planner separates risk, reserve, and exposure. Reliability still depends on verified units, stop logic, and realistic stress assumptions.
インジケーター
Sweep-Reclaim Dashboard-Entry-Alert Sweep-Reclaim Dashboard tracks four key intraday levels — prior-day high (PDH),
prior-day low (PDL), overnight high (ONH), and overnight low (ONL) — and flags
only the specific failed-breakout pattern this script is built around: price
sweeps through one of these levels and then reclaims it (closes back on the
original side) within a limited number of bars, without accepting beyond it.
WHAT IT DOES
Pre-market: builds PDH/PDL from the regular session and ONH/ONL from the
overnight session, checks whether any two levels sit too close together to be
treated as separate zones ("clustered"), and estimates a stop distance from the
previous day's ATR.
Live: watches each active level for a sweep, then runs every reclaim through
five hard rules before calling it valid:
1. Closes beyond the level did not exceed the configured maximum (more than
that is acceptance, not a sweep, and the setup is dead).
2. Price reclaimed the level within the configured max bar count.
3. Sweep depth fell between a configurable minimum (filters out noise/brushes)
and maximum (filters out sweeps that are actually breakouts).
4. The reclaim bar's close sits deep enough into its own range (a
configurable top/bottom fraction) to show real rejection, not a weak wick.
5. Candle color matches the trade direction, if that filter is enabled.
Valid signals also have to fall inside one of two configurable trading windows
and clear a minimum reward:risk versus the nearest opposing level (which is
used as the target). Only then does the script plot a signal label with entry,
stop, target, and R-multiple, and optionally fire an alert.
DASHBOARD
Toggle between two dashboard modes:
- Inputs only: shows the raw levels, previous-day ATR, the ATR-based stop
estimate, current price, and whether price is inside the overnight range —
deliberately does NOT compute direction or R:R for you, if you want to keep
doing that step by hand.
- Full table: computes direction, target, distance, expected R:R, and a
watch/skip verdict for every active level in real time, plus a running list
of any level currently mid-sweep.
A "Study mode" hides close-counts and rule verdicts so you can practice reading
the setups yourself before letting the script confirm them. A "Debug row" shows
the script's raw internal session/level state, useful for verifying it agrees
with any separate PDH/PDL/ONH/ONL reference indicator on your chart.
VISUAL RISK BOXES
Every valid signal draws an entry line, a stop-loss line, and one or two
target lines (T1 at 2R, T2 at the nearest non-swept opposing level), plus
shaded green/red zones showing the profit and loss areas at a glance. Lines
and zones auto-extend to the right while the trade is still open, and each
line/label turns green with a checkmark when its target is hit, or red with
an X when the stop is hit — so you can see how a signal actually played out
without leaving the chart. Only the most recent signal's box is shown at a
time. Box length, colors, and fills are all configurable.
ALERTS
One configurable pre-market "plan" alert per day listing each active level,
direction, target, and estimated R from the ATR-based stop estimate — and one
alert per valid live signal, if enabled.
NOTES
- The live target/R:R math for a signal excludes any opposing level that has
already been swept during the session; the once-daily plan alert message
does not apply that exclusion, so the two can point at different levels
mid-session — check the live dashboard/signal for the level actually being
traded.
- Originally built and tuned against QQQ on a 5-minute chart. Threshold inputs
(cluster tolerance, sweep depth, stop multiplier) are percentage-of-price
based so they scale across instruments, but re-validate the defaults before
relying on this for other symbols or timeframes.
- This is a decision-support indicator, not an auto-trading strategy: it does
not place orders and carries no backtest/win-rate claims. All signals require
the trader's own risk management and judgment.
- The four session inputs (time zone, RTH session, overnight session, session
days) must match any separate PDH/PDL/ONH/ONL indicator on your chart
exactly, or the two will disagree.
This script is provided for educational and informational purposes. It is not
financial advice, and past patterns matching these rules do not guarantee
future results. インジケーター
Session Stats I EonMetrics Session Stats by EonMetrics
Every market has session folklore: "Asia is quiet", "London sweeps the overnight range", "the New York morning makes the high or low of the day". This tool replaces the folklore with numbers — it measures how each session has actually behaved on YOUR symbol, on YOUR chart's history, and shows the result in one table.
🔶 WHAT THIS TOOL IS AND IS NOT
This is a statistics dashboard, not a signal generator. It draws no entries, no targets, and it does not predict anything. It counts what already happened, so you can judge whether a session tendency on your instrument is real or imagined. All statistics are computed from completed sessions on confirmed bars. The only element that moves intrabar is the TODAY row, which is clearly labeled LIVE while a session is still open.
🔶 WHY THESE METRICS ARE ONE SCRIPT, NOT SEVERAL
Every row of the table answers the same single question — "what does this session usually do here?" — from a different side: how much it moves (range), where it sits in the day's structure (high/low of day), which way it leans (bull close, continuation), and how much participation it carries (volume share). Splitting these apart would leave each number without the context that makes it readable. The TODAY row then compares the current session against that same measured history, which is only possible because the history and the live reading live in one engine.
🔶 WHAT IT MEASURES
For up to four configurable sessions (defaults: Asia, London, NY AM, NY PM — New York time), over up to 500 stored trading days:
- Days (n) — the sample size behind every number in that column. Small samples (under ~20) are flagged in orange, because statistics on a handful of days are weak. If a number matters to you, check its n first.
- Avg Range and Median Range — the session's range expressed as a percent of the daily ATR, so quiet and violent weeks can be averaged together honestly. The median is shown next to the average on purpose: one news day can inflate an average, but it cannot drag a median. A big gap between the two tells you the session's "typical" day is calmer than its average suggests.
- High of Day / Low of Day — how often the session contained the trading day's extreme. A star marks the most frequent session in each row.
- Bull Close — how often the session closed above its open. Near 50% means no directional lean worth talking about.
- Continuation — how often the session repeated the direction of its own previous occurrence. Above 50%: the session tends to continue its behavior day over day; below: it tends to alternate.
- Vol Share — the session's average share of the whole trading day's volume.
- TODAY — the current session's range as a percent of daily ATR, plus its percentile within that session's own history. "62% (88th)" reads: today's London has already covered 62% of a normal day's range, which is larger than 88% of past Londons in the sample.
A weekday filter (Mon-Sun checkboxes) restricts the whole sample to the days you care about — Fridays only, weekdays only, and so on.
🔶 HOW THE NUMBERS ARE BUILT
-------------------------
The trading day rolls over at 18:00 in the selected session timezone, so the Asia session that opens in the evening belongs to the day it actually shapes. The daily ATR used for normalization is built internally from those same trading days (previous completed days only), which keeps the "day" definition consistent on 24/7 markets and means the ATR value is fixed for the whole current day. The script uses no higher-timeframe data requests. Session records are written once, when the session completes on a confirmed bar, and never change afterwards.
🔶 HOW TO USE IT
1. Add it to an intraday chart (1-minute to 1-hour). Let the chart load as much history as your plan allows — more history, bigger sample.
2. Check the Days (n) row first. Then read the table column by column: which session moves, which one sets the day's extremes, which one leans.
3. Use the TODAY row during the session: a high percentile early in the window tells you this session is already unusual relative to its own history.
4. Two alerts are available: one fires when any tracked session closes, one when the live session's range first reaches your chosen percentile (default 90th) of its own history.
🔶 SETTINGS
Four session slots (on/off, name, window, color), session timezone, sample depth, daily ATR length, weekday filter, optional rows (median, continuation, volume share), table position/size/theme, background tint of the active session, and the alert percentile.
🔶 LIMITATIONS
Session statistics describe the past; they are tendencies, not guarantees, and they can change when market conditions change. On symbols without meaningful volume data the Vol Share row will be empty. The tool needs an intraday chart — on daily and higher timeframes there are no bars inside a session window to measure.
This tool is for analysis and education. It is not financial advice, and past behavior of a session does not guarantee its future behavior. Always do your own analysis and manage your own risk.
インジケーター
Multi EMA Ribbon (8 Lines) - Style Zone & Labels### Overview
The **Multi EMA Ribbon (8 Lines) with Trend Dashboard** is an all-in-one trend analysis tool designed to give traders both visual chart intuition and real-time quantitative metrics.
By combining an 8-period Exponential Moving Average (EMA) ribbon with a real-time status dashboard, this script helps you quickly identify trend directions, momentum shifts, volatility squeezes, and dynamic support/resistance levels without cluttering your chart.
---
### Key Features
* **8 Fully Customizable EMAs:** Pre-configured with widely used default lengths (10, 20, 50, 100, 200, 400, 600, 800) to cover micro-scalping up to macro-trend levels.
* **Integrated Real-time Dashboard Table:**
* Displays exact price levels for all 8 EMAs.
* Shows real-time status (`BULL 🠅` or `BEAR 🠇`) based on price position relative to each EMA.
* Features an **Overall Trend Score** (e.g., 8/8 Bull = Strong Trend) for instant high-level bias confirmation.
* Fully customizable position (Top Right, Bottom Left, etc.) and text size.
* **Visual Fill Zones (Ribbon Effect):** Smooth background fills between adjacent EMAs allow you to instantly spot trend expansion, compression (squeezes), and reversals.
* **Fully Configurable in Style Tab:** All filled background zones are native plots, meaning you can toggle them individually or adjust their colors and transparency directly in the "Style" settings.
* **Clean & Dynamic Labels:** Clean numerical period tags project to the right of the current bar (with adjustable offset) to keep the chart clutter-free.
---
### How to Use
#### 1. Visual Chart Ribbon Analysis
* **Bullish Alignment:** When shorter EMAs (10, 20) are layered above longer EMAs (200, 800) and expanding outward, the market is in a strong uptrend.
* **Bearish Alignment:** When shorter EMAs are layered below longer EMAs, the market is in an established downtrend.
* **Compression / Squeeze:** When EMA lines converge tightly, volatility is dropping—often signaling an impending breakout.
* **Dynamic Support/Resistance:** During pullbacks in strong trends, price often tests specific EMA zones (e.g., EMA 20–50 or EMA 200) before resuming the primary trend.
#### 2. Dashboard Table
* **Quick Health Check:** Look at the **Overall Score** row at the bottom of the table:
* **6/8 to 8/8 Bullish (`STRONG`):** High probability long conditions / strong uptrend momentum.
* **0/8 to 2/8 Bullish (`WEAK`):** High probability short conditions / strong downtrend momentum.
* **3/8 to 5/8 (`MIXED`):** Consolidation, choppy market, or transition period.
---
### Inputs & Configuration
* **EMA Settings (Length and Color):** Adjust individual lengths, visibility, and line colors.
* **Display Settings:**
* `Show discreet EMA labels on the right`: Toggle right-side period tags.
* `Label offset to the right (bars)`: Adjust spacing of labels from the last bar.
* `Price Source`: Choose price input (Default: `Close`).
* **Dashboard Table Settings:**
* `Show EMA Dashboard Table`: Enable or disable the table.
* `Table Position`: Choose screen alignment (Top Right, Bottom Right, Top Left, Bottom Left).
* `Table Size`: Select display size (Tiny, Small, Normal).
---
### Disclaimer
This script is created for educational and analytical purposes only. Moving averages are lagging indicators and should always be combined with proper risk management, market structure, and volume analysis. インジケーター
Global Sessions IST - High/Low & Range DashboardOverview
Global Sessions IST is a lightweight, clean, and highly customizable session tracking tool designed specifically for traders operating in Indian Standard Time (IST). It dynamically highlights the active market hours for Asia (Tokyo/Hong Kong), London, and New York, helping you identify liquidity sweeps, session ranges, and key intraday turning points without cluttering your price action.
Key Features
IST Native Alignment: Built from the ground up for Indian Standard Time (UTC+5:30), mapping out global session open and close times accurately.
Minimalist Session Boxes: Visualizes session High, Low, and price movement using soft, customizable box fills and subtle border styles.
On-Chart Mini Dashboard: A real-time summary table positioned in the top-right corner that updates each session's:
Session High
Session Low
Total Point Range
DST (Daylight Saving Time) Toggle: Easily adjust London and New York session times by +1 hour with a single setting toggle during summer/winter shifts.
Fully Customizable Visuals: Toggle session boxes, adjust fill opacity, change session colors, or hide the dashboard entirely for a pure price-action view.
How to Use
Identify Session Ranges: Observe how price builds high and low points during the Asian consolidation phase.
Monitor Session Overlaps: Keep an eye on the high-liquidity London–New York overlap (6:30 PM – 9:00 PM IST) for major breakout or reversal trades.
Analyze Range Expansion: Use the mini dashboard to gauge session volatility in points/pip range before entering trades.
Reflective Thought
"What is night for all beings is the time of awakening for the self-controlled."
True market discipline requires awareness when others are asleep. Keep your charts clean, execution sharp, and risk management paramount. インジケーター
Apex Edge - NQ Correlation HUDApex Edge — NQ Correlation HUD
Note: This script is the HUD only. Screenshots may also show separate Supply & Demand zone and key-level tools running alongside it for extra confluence — those are independent indicators, not part of this script, and aren't required for the HUD to function.
What it does
Apex Edge — NQ Correlation HUD is a compact on-chart dashboard built for trading Nasdaq-100 index products (NQ, MNQ, and similar). Rather than manually flicking between the VIX and individual Mega-Cap Tech charts to gauge whether the broader market agrees with a setup, this indicator brings that context onto your current chart in one glance.
It scores your current instrument's own momentum and structure, then does the same for the VIX and seven Magnificent-7 stocks — live, every bar — and tells you visually which of those names are actually confirming your bias right now versus which aren't.
The HUD: Ticker / Fuel / Confluence
The dashboard is a simple 3-column table:
Ticker — the symbol for that row. Row 1 always reflects whatever chart you're currently on (so it updates automatically if you switch between NQ and MNQ, or any other symbol). Below that: VIX, then the 7 Mag7 names.
Fuel — a 0–10 momentum score for that symbol (see scoring below), shown as a fraction against your configured minimum threshold, e.g. 6/6.
Confluence — a directional vote out of 5, shown as ▲x/▼y, indicating how many of 5 independent components currently lean bullish versus bearish for that symbol.
What it monitors, and why
VIX — the market's fear gauge. It typically moves inversely to equities, so a VIX reading that's rising while your chart is bearish (or falling while your chart is bullish) is a classic confirmation signal. The HUD surfaces VIX's own Fuel and Confluence so you don't have to switch charts to check it.
The 7 Mag7 stocks (defaults: AAPL, MSFT, GOOGL, AMZN, NVDA, META, TSLA — all fully customizable in settings) — these carry substantial weight in the Nasdaq-100 and tend to drive a large share of its movement. When several of them are genuinely moving with your NQ/MNQ chart, that's real confirmation your setup isn't just noise on one instrument; when they're diverging, it's a reason for caution even if your chart alone looks clean.
How each pair offers confluence
A single chart can give a false signal — a stop run, a low-liquidity spike, an isolated headline. Checking whether the broader Nasdaq complex agrees filters a lot of that out. If your NQ/MNQ setup is bearish and the majority of Mag7 names are also showing bearish confluence while correlating with your chart's actual price action, and VIX is leaning bullish (its typical inverse relationship holding up), that's three independent confirmations lining up rather than one chart in isolation.
How the columns are scored
Fuel Score (0–10) is a multi-factor momentum read, built from:
Volume Z-score relative to a rolling average
Candle body dominance within its own range
Where the close sits within the bar's high-low range
ATR expansion versus its own rolling average
Confluence Score (out of 5) is a 5-component directional vote:
LTF trend (Hull moving average)
HTF trend (Hull moving average on a higher timeframe)
LTF RSI position
HTF RSI position
Price structure vs. a rolling range midpoint
Each component casts one bullish or bearish vote; the tally is shown as ▲bullish/▼bearish.
The correlation layer
This is what separates the Mag7 rows from a static watchlist. Each Mag7 ticker's title is colour-coded in real time:
Green — that symbol is BOTH rolling-correlated to your current chart above a threshold you set, AND its own Confluence is currently agreeing with your chart's direction.
Red — either condition fails: it's not correlating closely enough right now, or it's correlating but currently pointing the other way.
This means the HUD isn't just showing you 7 static numbers — it's telling you, live, which of the 7 are actually confirming your bias in this moment versus which are just along for the ride historically. Correlation lookback, the green/red threshold, and the correlation-guide tooltip (with standard statistical strength bands) are all configurable.
Built-in alerts
Two included alert conditions ("HUD Setup: Long Bias" / "HUD Setup: Short Bias") fire when your chart's Confluence bias is shared by a configurable number of the 7 Mag7 symbols AND VIX Confluence is leaning the opposite way. These are deliberately price-agnostic — they tell you when the broader HUD context has aligned, not when to enter. Pair them with your own key-level or zone tools to time actual entries once the alert fires.
Settings
Fuel/Confluence Dashboard toggle, dashboard position, minimum Fuel threshold
Hull MA period and HTF resolution
Multi-Pair HUD toggle, monitor timeframe for the 7 Mag7 rows
VIX symbol, all 7 Mag7 symbols (freely swappable)
Correlation lookback length, correlation threshold, min Mag7 aligned count for alerts
Align it with other confluence indicators to time your entry. Below is an example of the HUD running alongside 2 indicators (Key levels & Supply & Demand zones).
A NOTE ON USE:
Market hours affect the correlation rows. NQ/MNQ trade nearly 24 hours; the Mag7 equities only trade actively during NASDAQ hours (with an extended pre/post-market window beyond that). Outside those hours, correlation can legitimately read n/a for some or all Mag7 rows — that's expected behaviour, not a fault, since a closed/flat equity price has no variance to correlate against. Correlation readings are most meaningful during and immediately around the NASDAQ session; Fuel and Confluence continue working normally at all hours since they don't depend on cross-symbol variance.
This tool is designed to support discretionary trading decisions around Nasdaq-100 index products — it doesn't generate entries or exits on its own, and none of its readings guarantee a particular outcome. Fuel, Confluence, and correlation are all descriptive of current and historical price behaviour, not predictions. As with any tool, backtest and forward-test on a demo account before relying on it in a live or funded environment. Nothing in this script or its description constitutes financial advice. インジケーター
Multi-Timeframe Trend & Consolidation Table### Overview
The **Multi-Timeframe Trend & Consolidation Table** is a lightweight dashboard indicator designed to give traders a quick, multi-timeframe overview of the market trend and consolidation status directly on their chart.
Instead of switching between multiple timeframes or cluttering your chart with dozens of moving averages, this tool consolidates trend data across 10 different timeframes into a clean, customizable table.
---
### Key Features
* **Multi-Timeframe Analysis:** Monitors **1m, 3m, 5m, 10m, 15m, 1h, 4h, 1D, 1W, and 1M** timeframes simultaneously.
* **Customizable EMA Periods:** Set unique Exponential Moving Average (EMA) lengths for every individual timeframe (e.g., EMA 10 for 1m, EMA 50 for 1h, EMA 200 for 1D).
* **Consolidation Detection:** Built-in threshold logic identifies when price is hovering extremely close to the EMA line, signaling potential range-bound/chop market conditions.
* **Dynamic Table UI:** Displays the specific EMA length assigned to each timeframe directly inside the table for clear tracking. Fully customizable position (Top Right, Bottom Left, etc.) and text sizes.
---
### How It Works
The indicator compares the price of each timeframe against its assigned EMA line:
1. **BULLISH 🟢:** Current close price is above the timeframe's EMA (outside the consolidation zone).
2. **BEARISH 🔴:** Current close price is below the timeframe's EMA (outside the consolidation zone).
3. **RANGE 🟡:** Price percentage difference from the EMA is smaller than the set threshold (e.g., within 0.15%), indicating market consolidation or flat movement.
---
### How to Use
1. **Trend Alignment:** Look for timeframes aligning in the same direction (e.g., 1h, 4h, and 1D all green) to trade with the macro trend.
2. **Avoiding Chop:** When lower timeframes show `RANGE 🟡`, it indicates low volatility or moving average compression, warning you to avoid breakout trades or wait for confirmation.
3. **Execution Timeframes:** Tune lower timeframes (1m, 3m, 5m) to fast EMAs for scalp setups, while keeping higher timeframes (1D, 1W) on key levels like the 200 EMA.
---
### Settings & Inputs
* **EMA Lengths per Timeframe:** Set custom EMA periods for all 10 available timeframes.
* **Enable Consolidation Detection:** Toggle range detection on or off based on your strategy preference.
* **Consolidation Threshold (%):** Adjust the distance percentage between close price and EMA to define a range zone (default is 0.15%).
* **Table Display:** Adjust table placement on your screen and text font size. インジケーター
MACD Trend Phase MTF by [Itto Ryu]# MACD Trend Phase MTF by — User Manual (Publication Version)
---
## 1 · Purpose
This indicator answers one question: **"Where are we in the trend lifecycle?"** — not merely "has MACD crossed yet?"
A single MACD can only describe momentum state; it cannot describe trend *phase*, because phase emerges from the relationship between multiple timeframes. This script reads a PPO-normalized MACD across three time layers — a slow timeframe sets the regime, a mid timeframe defines the phase, and the chart timeframe tracks entry timing — then outputs an instantly readable phase name, a multi-timeframe dashboard, and a weighted consensus verdict (MAJOR).
Because everything is normalized to percentages, it works on any market and any symbol: index futures, stocks, crypto, or forex.
## 2 · Methodology
**Engine — PPO (Percentage Price Oscillator):**
```
PPO = (EMA(close,12) − EMA(close,26)) / EMA(close,26) × 100
Signal = EMA(PPO, 9)
Hist = PPO − Signal
```
PPO is used instead of raw MACD so thresholds stay constant across markets and across years (raw MACD is denominated in price units and cannot be compared across symbols).
**Phase state machine (computed on the Phase TF, default 4H):** each timeframe uses only three features:
1. **Regime** — PPO above/below zero
2. **Impulse** — PPO above/below its signal line
3. **Leg-peak memory** — is the latest impulse leg's PPO peak lower than the previous leg's peak? (structural momentum divergence)
Combined with the slow-TF regime, this yields 9 phases:
| Phase | Condition | Meaning |
|---|---|---|
| ESTABLISHED BULL | Slow bull + mid bull + impulse up | Fully aligned uptrend |
| BULL PULLBACK | Mid bull + impulse down + peaks not declining | Correction inside an uptrend — a classic continuation setup |
| WEAKENING BULL | Mid bull + impulse down + lower peaks | Late-stage uptrend — momentum thinning |
| EMERGING BULL | Mid bull but slow TF not yet bull | New trend, not yet confirmed |
| TRANSITION / CHOP | \|PPO\| < chop threshold | No phase — directionless market |
| (4 BEAR phases = mirror) | | BEAR RALLY = the mirror continuation setup |
**Anti-flicker:** the committed phase changes only after the new raw phase persists for N chart bars (default 2) — hysteresis prevents flickering.
**Timing signal:** when the phase is a pullback phase and the chart-TF histogram inflects back in the trend direction (`hist > hist ` after falling, or the mirror), a ▲/▼ triangle prints on the price chart. The idea: the higher timeframe defines *where* momentum entries make conceptual sense; the chart timeframe shows *when* the counter-move is fading.
**MAJOR consensus:** each grid TF scores its phase (Established ±1.0, Pullback ±0.75, Emerging ±0.5, Weakening ±0.25, Chop 0), weighted by timeframe (default 30m×1, 1H×1.5, 4H×2, D×3) → summed into a net % → |net| ≥ 20% = LONG/SHORT lean, ≥ 50% = strong. This is a structured way of reading multi-timeframe agreement at a glance — higher timeframes get louder votes.
## 3 · Defaults (Inputs)
| Input | Default | Rationale |
|---|---|---|
| Regime TF | D | Slowest layer; only its zero-line side is used |
| Phase TF | 240 (4H) | Phase-defining layer — roughly 4–6× the chart TF works well |
| Fast / Slow / Signal | 12 / 26 / 9 | Standard values, identical on every TF — deliberately untuned |
| Chop threshold | 0.10% | \|PPO\| below this = directionless market |
| Phase confirm bars | 2 | Hysteresis against phase flicker |
| Grid TFs | 30m / 1H / 4H / D | Dashboard rows |
| Weights | 1 / 1.5 / 2 / 3 | Higher timeframes get louder votes |
| Major bias / Strong | 20% / 50% | Verdict thresholds |
| Dashboard size | Middle | Tiny / Middle / Large |
All defaults are starting points, not optimized values — adjust them to your market and timeframe structure.
## 4 · Visual Elements
| Element | Meaning |
|---|---|
| Histogram columns (pane) | Chart-TF PPO − Signal; solid color = accelerating, faded = fading |
| Blue / orange lines (pane) | Chart-TF PPO / Signal |
| Pane background color | Current phase (green = bull family, red = bear family, orange = weakening, gray = chop) |
| ▲ / ▼ on the price chart | Timing markers — phase-gated momentum inflections |
| TF grid table | Phase per timeframe + ● dot in the L / S / H column |
| MAJOR row | Weighted consensus verdict + net % |
| Timing row | Timing status ("wait" / "TIMING NOW") |
| ⚠ row | Warns when chart TF ≥ Phase TF (view a lower TF, e.g. 1H) |
## 5 · Who This Is For / NOT For
**For:** traders studying trend-pullback structure who execute manually and use indicators as context filters; anyone who wants a one-glance answer to "is this market trending, correcting, weakening, or going nowhere?"
**NOT for:** scalpers far below the phase TF (higher-TF data updates too slowly to matter); anyone expecting a fully automatic buy/sell system (this is decision support, not a bot); extended sideways markets (it will mostly show CHOP — which is the correct reading: no trend phase exists).
## 6 · How to Use (Study Playbook)
1. Open the chart one or more steps **below the Phase TF** (e.g. 1H chart with a 4H phase TF).
2. Use the background color and phase label as context: trend-following ideas align with ESTABLISHED phases, continuation setups form during PULLBACK / RALLY phases, and WEAKENING or CHOP suggest standing aside.
3. Check the **MAJOR** row — study how often lower and higher timeframes agree before strong moves, and how disagreement resolves.
4. The ▲/▼ triangles mark where a counter-trend swing's momentum fades *while the higher timeframe still points with the trend* — the classic pullback-entry concept. Observe how these behave on your market before acting on any of them.
5. Momentum-inflection signals are, by nature, short-horizon events — they describe the next swing, not the next month. Re-evaluate whenever the phase changes.
6. Alerts: alert dialog → Condition = "MACD Phase" → choose "Phase changed", "Major bias changed", "Long timing" or "Short timing" → recommended trigger **Once per bar close**.
7. WEAKENING is best studied as a position-management state (momentum thinning), not a reversal signal.
## 7 · Common Mistakes
- ❌ Treating ESTABLISHED phases as entry signals — by the time everything is aligned, much of the move has often happened; the pullback phases are where continuation logic actually applies.
- ❌ Taking every triangle in both directions on every market — different markets have different structural drifts; study each side's behavior on your instrument first.
- ❌ Expecting momentum-inflection signals to define long swings — their information decays quickly.
- ❌ Viewing on a chart TF larger than the Phase TF (the ⚠ row will warn you).
- ❌ Reading MAJOR % as a probability — it is a weighted vote score (a structured prior), not a measured probability.
- ❌ Changing several inputs at once — you lose track of what actually changed the behavior.
## 8 · For Educational Purposes Only
This indicator is published **for educational purposes only**. It is a tool for studying how momentum, trend phase, and multi-timeframe structure interact — it is **not** a trading system, does not generate financial advice, and makes **no claim of profitability**. No performance figures are stated or implied; past behavior of any signal, on any market, does not guarantee future results. Before risking real capital on any concept illustrated here, do your own testing on your own market, timeframe, and cost structure, and consult a licensed financial professional where appropriate. You alone are responsible for your trading decisions.
## 9 · Disclosure Block
- **Pine version:** v6
- **Repaint:** NO on closed bars — every HTF value uses only fully closed bars (`security(expr , lookahead_on)` idiom); historical bars are never redrawn. Note: current-bar table values and signals update until the bar closes — use alerts set to "Once per bar close".
- **Chart type:** standard candles only (no Heikin Ashi / Renko / Range — synthetic prices distort PPO).
- **Originality:** fully original code — the phase state machine, leg-peak memory, and weighted MTF consensus were written from scratch, not adapted from any open-source script.
- **This indicator is create for educational purposes only — not investment advice or recommendation or professional advice, you are on your own risk **
---
インジケーター
Volatility Regime Classifier [AFD]
**What it does**
It answers one question: *is this symbol moving more, or less, than it usually does?*
It measures how far this symbol's own bars have been travelling, ranks that against its recent history, and states the answer as a percentile from 0 to 100 plus a named tier — **QUIET**, **NORMAL**, **ELEVATED** or **EXTREME**. Alongside it you get how the recent stretch compares with the longer one, whether the reading is rising or falling, and a plain-English line saying what that amounts to.
Everything comes from the chart you have open. No VIX, no options data, no implied volatility, no other symbol, and no `request.*()` call of any kind — so it behaves the same on a currency pair, a small-cap, a future or a crypto chart, none of which have an index volatility proxy to borrow.
**How it works**
Realized volatility is measured over three rolling windows — short, mid and long — and one **Sensitivity** setting picks them: Fast 5/15/30, Normal 10/30/60, Slow 20/60/120. Fast is the default.
Four estimators, and this choice matters more than any other setting:
- **Parkinson** (default) — reads the bar's high-low range.
- **Garman-Klass** — reads the range and the open-to-close move.
- **Close-to-close** — reads the dispersion of returns.
- **ATR** — a plain N-bar average of true range. **Not Wilder's smoothing**, so it will
not match TradingView's built-in ATR at the same length. Deliberate, not a bug.
Parkinson is the default because of a specific failure of the close-to-close default it replaced. Close-to-close measures how *scattered* returns are; a chart reader measures how *far* price went. A clean one-way slide has every return pointing the same way, so its dispersion is genuinely low — and a choppy bounce covering the same ground scores higher than the slide did. Range-based estimators read what the eye reads.
The short-window reading is ranked against the last **400 bars** to give the percentile, and the tier follows from that rank with a **band around each boundary**, so a reading parked on a threshold does not flip back and forth on sampling noise. The panel tells you when the band is holding a tier back.
There is a second route into EXTREME, and it exists because a percentile is self-normalising: roughly a tenth of all bars sit in the top tier however quiet the year has actually been. So a bar is also called EXTREME when the short window reaches a set multiple of the long one, whatever its rank. The multiple differs per estimator, because the four do not put that ratio on the same scale.
On intraday charts the **session-gap return is excluded**. It spans a close and the next open, so it is not a return over one bar of trading, and leaving it in made every session open read as a volatility event that never happened. It is dropped, not zeroed.
**How to use it**
Add it and read the dashboard. It starts compact at four rows; switch **Compact dashboard** off for the full nine, which name every window, bound and setting actually in force rather than the defaults. Hover the marker at the end of the line for a glossary of every number, also built from your current settings.
- **The percentile line** in the lower pane, tier zones shaded behind it.
- **Price-chart markers** — the bar column painted when a tier you have chosen is reached, or a box spanning the whole episode. EXTREME is marked by default; QUIET, NORMAL, ELEVATED and RISING are all available, and a marked tier always beats RISING so an overlapping bar's colour is never an accident of ordering.
- **The market context box** on the price chart, at the corner you pick or off. A headline names the character of the tape — `RANGE EXPANDING`, `RANGE COMPRESSING`, `WIDE AND HOLDING` and eight others — over a line naming what to re-check, a line stating what the short-to-long ratio amounts to in words, and a standing line reading **`Size only - this says nothing about direction.`**
That last line has no off switch, and the vocabulary above it never uses the words "up or "down". `EXPANDING` is equally what a hard rally and a hard sell-off look like.
**Three alerts**, all evaluated on confirmed bars only: the regime tier changed, the short-vs-baseline state changed, and the EXTREME tier was entered.
**Repainting**
The script reads nothing but the current chart's own bars. There are no `request.*()` calls, no higher-timeframe data and no `barmerge.lookahead_on` anywhere in it, so there is no future data for it to borrow. Once a bar closes, its reading is settled and does not change afterwards.
The bar still forming is the ordinary exception, and it is worth being explicit about: its high, low and close are still moving, so the reading on it moves too, and the tier on the live bar can change before the bar is done. The three alert conditions are gated to confirmed bars for that reason. Drawn elements — the panel, the context box, the episode box — are drawn at the last bar and update with it.
**Why it is original**
It is built for the **Pine Screener**, which is unusual in this category. The first ten plots are the contract — percentile, tier code, ratio, short-vs-baseline code, acceleration tier, regime-changed flag, the two raw RV levels, the percentile's sample count, and a flag saying whether the outputs are fully defined — so you can rank or filter a whole watchlist by volatility regime instead of reading one chart at a time. Zero `request.*()` calls, and the warmup is sized to fit the Screener's 500-bar window.
The other difference is that **the regime is a number, not a colour.** The visual layer is drawn *from* the percentile and never replaces it; every tinted panel row still states its value in words, and the whole visual layer switches off without a single reported number changing.
**Limitations**
- **It says nothing about direction, and it is not a signal.** No entries, no exits, no targets, no probability, win-rate or expectancy language anywhere in the script. It describes what has already happened on the chart in front of you.
- **It needs history.** At the default Fast preset the percentile is undefined until bar 404 and shows blank until then. The size-based EXTREME route is defined from bar 30, so **a bar can legitimately show an EXTREME tier beside a blank percentile row** — the panel says which is which, and the `Outputs fully defined` plot flags it.
- **A percentile is relative to this symbol's own recent history.** QUIET on one instrument and QUIET on another are not the same absolute amount of movement. The panel carries the absolute RV level next to the rank for exactly this reason.
- **ATR here is a simple average, not Wilder's**, as above.
**Licence:** Mozilla Public License 2.0. インジケーター
3EMA Filter [LTW]📈 3EMA Filter
This indicator visualizes real-time trend intensity using a multi-timeframe Exponential Moving Average (EMA) structure, projects future price trajectories based on momentum slopes, and quantifies fast-to-slow moving average divergence via an integrated real-time dashboard.
Instead of looking backward at static historical support and resistance levels on lower timeframes, you can instantly read real-time trend acceleration and price divergence right here and now to build powerful, forward-looking trading strategies.
⚙️ Key Features & Customization
▪️ Dynamic EMA Ribbon & Crossover Signals (Default: 50, 100, 200)
Utilizes dynamic colored ribbon filling between EMA 1, 2, and 3 to provide an immediate visual assessment of trend alignment (bullish/bearish) and momentum strength. Highlights Golden Cross and Dead Cross events between the fast and middle lines with distinct markers and optional background highlighting.
▪️ Slope-Based Future Trajectory Projection
Calculates the current momentum slope of each moving average at the latest bar to project future EMA trajectories 'n' bars forward. Allows traders to visually gauge whether trend momentum is currently accelerating or flattening out, aiding in the early detection of potential inflection points and trend reversals. (Supports customizable styles: Solid, Dotted, Dashed).
▪️ High-Visibility Divergence Dashboard
Automatically calculates and displays the Current, Maximum, and Minimum price divergence (%) between the fast moving average (EMA1) and the slow moving average (EMA3) over a selectable timeframe (1D, 1W, 1M). Engineered with a crisp, high-contrast design to immediately evaluate overbought and oversold market pressure across both Dark and Light themes.
▪️ Keep Charts Clean & Focus on Operability (Limit Display to Recent "n" Bars)
We approached this feature with the mindset of focusing on practical 'Operability' and responsiveness in real-time trading rather than just simple readability. By limiting the indicator display to the most recent 'n' bars, it reduces computational waste and eliminates visual clutter from historical bars, allowing you to react immediately to pure candlestick price action.
💡 How to Use & Trading Strategies
Provides a clean, forward-looking analytical framework that eliminates hindsight bias on lower timeframes.
1. Focusing on Acceleration & Divergence on Lower Timeframes
Unless you are analyzing macro moving averages like the 200-day or 200-week MAs on daily or weekly charts, tracing historical MA support and resistance lines on lower timeframes (such as intraday minute or hourly charts) often offers little practical synergy in real-time trading. This indicator departs from static historical mapping and is used strictly to read real-time "EMA Divergence" and the "Momentum Acceleration" of the current trend.
2. Preventing Curve-Fitting & Hindsight Bias (Hidden Picture Puzzles)
The integrated Bar Limit feature is deliberately designed to stop traders from falling into the trap of "playing hidden picture puzzles"—retroactively forcing indicators to fit historical price action. It eliminates hindsight bias, ensuring your analytical focus remains 100% locked on present market dynamics and future trajectory projections.
📌 Summary
A practical, all-in-one indicator designed to shift your focus away from static historical support/resistance and toward real-time trend acceleration and divergence. Through slope-based future projections, a high-visibility divergence dashboard, and an operability-focused Bar Limit feature, you can eliminate hindsight bias and trade with high reliability by focusing entirely on active market dynamics. インジケーター
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
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
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.
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