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. Indicator
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. Indicator
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. Indicator
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. Indicator
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 **
---
Indicator
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 PulseWire'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. Indicator
AlgoForex PULSE Momentum & Volatility CompassAlgoForex PULSE is a single-pane trend, momentum and volatility read-out. It replaces the usual stack of three separate indicators — a moving average, an oscillator and a volatility gauge — with one adaptive framework drawn directly on price.
WHY IT EXISTS
A fixed-period moving average has one setting and two problems: it lags in a trend and whipsaws in a range. Most traders answer this by adding an oscillator in a lower pane and a volatility filter somewhere else, then spend the session moving their eyes between three places. PULSE folds those three jobs into one object on the chart.
HOW THE BASELINE WORKS
The baseline is an adaptive average driven by an efficiency ratio. For the chosen lookback it measures:
• net directional travel = |price now − price N bars ago|
• total travel = the sum of every bar-to-bar move over the same N bars
The ratio of the two is the efficiency ratio. Near 1, almost all movement went one way, so the average is allowed to accelerate toward price. Near 0, price covered a lot of distance and ended up nowhere, so the average slows down and flattens. The smoothing constant is squared, which makes the transition between the two states sharper than a linear blend.
The practical effect: the line tracks trends closely, then stops reacting to noise when the market goes sideways.
AURORA BANDS
Three ATR-scaled layers are drawn on each side of the baseline and filled with the live trend colour. They serve two purposes at once:
• the WIDTH shows current volatility — the cloud breathes as ATR expands and contracts
• the POSITION of price inside the cloud shows how stretched the move is
A close hugging the outer band is an extended move. A close oscillating around the baseline is a market with no commitment.
TREND STATE (with hysteresis)
The trend does not flip the moment price touches the baseline. It requires a close beyond baseline ± (Trend Trigger × ATR), default 0.5× ATR. This buffer is the difference between a handful of meaningful flips per session and dozens of meaningless ones. Raise it for fewer, slower signals; lower it for a more reactive read.
Flips are marked with and labels.
MOMENTUM SCORE (0-100)
Rather than a second pane, momentum is reduced to one number:
Momentum = 55 × normalised position inside the bands + 45 × RSI
The position component is clamped to ±1 so a single spike bar cannot dominate the reading. The result drives three things: the gauge in the dashboard, the candle colour gradient, and the surge markers (small dots) fired when the score crosses the bullish or bearish levels.
CONVICTION
The dashboard shows the raw efficiency ratio as a percentage. This is deliberately kept separate from the momentum score because the two answer different questions:
• Momentum = which direction, how strongly
• Conviction = how clean that movement was
A high momentum score with low conviction is a move fighting through chop. High on both is the condition worth acting on.
SQUEEZE RADAR
Current ATR is compared against its own percentile over a lookback window (default: bottom 25% of the last 100 bars). While ATR sits in that bottom band the background is tinted, marking compression. The bar where ATR climbs back out is marked with a the expansion point.
Compression tells you nothing about direction, only that the range is unusually tight. Pair it with the trend state for a directional bias.
HOW TO USE IT
1. Read the trend colour first — it sets your bias for the session.
2. Check Conviction. Below roughly 20% the market is not paying trend-followers.
3. Wait for price to pull back toward the baseline rather than chasing the outer band.
4. Treat a squeeze release in the direction of the trend as a timing cue, not a signal on its own.
5. Momentum surge dots confirm strength — they are not standalone entries.
SETTINGS THAT MATTER MOST
• Adaptive Length — the responsiveness of the whole system. Lower = faster.
• Trend Trigger ( ATR) — signal frequency. The single most useful dial here.
• Squeeze Percentile — how rare a "squeeze" should be. Lower = stricter.
ALERTS
Bullish trend flip Bearish trend flip Bullish momentum surge Bearish momentum surge Squeeze started Squeeze release.
NOTES
Works on any symbol and any timeframe. The dashboard is bilingual (English) and can be switched in the settings.
This indicator is an analysis tool. It does not predict price and it is not financial advice. No indicator has an edge on its own — use it inside a plan that includes risk management and position sizing. Past behaviour of any tool does not guarantee future results. Indicator
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. Indicator
PING - Regime & Style Fit [Technical-Trades]Every chart timeframe implies a trading style — sub-5-minute charts are scalping territory, 5m–1h is intraday, roughly 2h–daily is swing, weekly and above is position trading — and every market phase treats those styles differently. Many losing streaks are not bad entries; they are a style/conditions mismatch: scalping chop, swing-trading a dead base, fading a tape that is trending.
PING answers one question about whatever chart you have open: do current conditions fit the style this timeframe belongs to?
WHAT THE HUD SHOWS
- Timeframe · style band — which of the four style bands your chart timeframe belongs to (SCALP under 5m · DAY 5m–1h · SWING ~2h–1D · POSITION 1W and above; in-between timeframes round to the nearest class).
- Regime — one of four coarse market characters on this chart timeframe: TREND ↑, TREND ↓, RANGE, or VOL CHOP.
- Character — the two raw measurements behind the call: the Aroon oscillator (−100…+100) and how wide the recent high-low span is versus its own baseline (×).
- Fit — ● FAVORABLE, ◐ MIXED / STAND-BY, or ○ CAUTION for this timeframe's style, plus a one-line read explaining why. A quiet range with an unusually narrow span is additionally tagged coiled — compression that often precedes expansion.
An optional background tint and bar coloring paint the regime directly on the chart.
HOW IT WORKS (THE WHOLE ENGINE, NOTHING HIDDEN)
Two commodity measurements, both read from nothing but the rolling price extremes, computed on the chart timeframe only:
1. Trend + side — the Aroon oscillator (length 25, the indicator's original default, lightly smoothed with a 3-bar average): how recently the 25-bar high was made versus the 25-bar low, on a −100…+100 scale. Fresh highs with stale lows read strongly positive (uptrend); the reverse reads strongly negative. At or above ±70 — the conventional strong-trend line — the tape is called directional, and the sign picks the side.
2. Volatility — the high-low span of the last 40 bars as a percent of price, compared to its own 150-bar average, so "wide" and "narrow" are always relative to this market on this timeframe.
Regime resolution: oscillator magnitude at or above the threshold = trending. Not trending with the span at or above 1.6× its baseline = VOL CHOP (large, directionless swings). Everything else = RANGE, tagged coiled when the span sits at or below 0.5× — half its normal width, compression that often precedes expansion. All thresholds are inputs.
WHAT PING DELIBERATELY DOES NOT DO
No entries, no exits, no levels, no arrows, and no higher-timeframe requests — there is not a single request.security() call in the code. It diagnoses conditions; what you do with that is your process.
HONEST LIMITATIONS
The engine has no hysteresis and no state memory beyond the 3-bar smooth, so bars near a threshold can flip the read back and forth — the cost of keeping the math this simple and fully inspectable. Early chart history defaults to RANGE until the 150-bar span baseline warms up; that is expected, not a bug. The HUD updates on the developing bar like any indicator.
ALERTS (recommend "Once per bar close"; conditions are additionally gated to confirmed bars in code)
- Regime changed
- Fit turned FAVORABLE
- Fit turned CAUTION
Works on any symbol and any timeframe. Educational tool — not financial advice and not a signal service. Indicator
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. Indicator
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. Indicator
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. Indicator
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 PulseWire-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. Indicator
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 PulseWire: 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. Indicator
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).
Indicator
Crypto Market RSI Heatmap [BigBeluga]🔵 OVERVIEW
The Crypto Market RSI Heatmap is a comprehensive, institutional-grade sector momentum matrix built for PulseWire. 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.
Indicator
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. Indicator
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 PulseWire 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 PulseWire 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 PulseWire’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.
Indicator
Reversion Setup - Bollinger Bands + RSI Live Dashboard📊 REVERSION SETUP — Bollinger Bands + Live RSI Dashboard
A focused mean-reversion tool combining Bollinger Bands with a real-time
RSI dashboard — built to spot potential reversal zones without cluttering
your chart or burning extra indicator slots.
✅ Bollinger Bands — fully configurable (period, deviation, source, color)
✅ Live RSI Dashboard — current RSI value, overbought/oversold levels,
and real-time alert status, shown in a clean table instead of a
separate pane
🎯 WHY THIS COMBO
Bollinger Bands highlight when price stretches to a statistical extreme,
while the RSI dashboard confirms whether momentum actually backs up that
move. When price tags a band AND RSI flags overbought/oversold at the
same time, that's your reversion signal — two confirmations, one chart.
🔧 FULLY CONFIGURABLE
— Adjust Bollinger period, deviation, source, and color
— Set your own RSI period and overbought/oversold levels
— Adjust dashboard text size
💡 HOW IT WORKS
The RSI dashboard updates live as new candles form, showing:
— Current RSI value
— Upper/Lower band levels
— Alert status (Overbought ↑ / Oversold ↓ / Neutral →)
🔗 PAIRS WELL WITH
Check out my Trend Setup (EMA 50/100/200 + RSI Dashboard) for the
trend-following counterpart to this mean-reversion tool.
💬 Suggestions for the next setup? Drop a comment below — more tools
coming based on community feedback.
If this helped your charts, a like goes a long way 🙏 Indicator
Indicator
BocchiTheTrader | Quantum Trend Matrix# BocchiTheTrader | Quantum Trend Matrix
## 🚀 OVERVIEW
In modern electronic markets, retail traders suffer from cognitive overload. Managing multiple charts, fragmented timeframes, and dozens of conflicting indicators often leads to analysis paralysis and execution delays.
The **Quantum Trend Matrix** by **BocchiTheTrader** solves this structural problem. It is an enterprise-grade, localized Heads-Up Display (HUD) that synthesizes a high-fidelity technical matrix directly onto your active trading workspace. By evaluating macro trend direction, multi-oscillator momentum, volume health, and volatility boundaries simultaneously, the QTM provides traders with an instantaneous snapshot of market confluence. It functions as a single, centralized source of truth for directional bias, asset strength, and execution validation.
---
## 📐 THE MATHEMATICAL & LOGICAL CORE
The dashboard works as a multi-indicator consensus engine, evaluating individual variables every single tick to update a structural confluence matrix:
* **Tri-Horizon Trend Architecture:** Evaluates directional health by processing price action relative to an optimized Simple Moving Average (SMA) across three distinct temporal planes: Macro-Weekly, Swing-Daily, and Intraday-Current.
* **Linear & Non-Linear Momentum Ensemble:**
* **MACD Line/Signal Cross:** Decodes classic directional velocity shifts.
* **Relative Strength Index (RSI-14):** Evaluates oversold/overbought thresholds based on a centralized 50-level mid-line axis.
* **Stochastic Oscillator (14, 3):** Measures the location of the close relative to the high-low range to catch rapid cyclical swing turns.
* **Gaussian Normalized Fisher Transform:** Applies an algebraic log transform to normalized RSI values, sharpening the turning points into crisp, highly responsive leading triggers.
* **Money Flow Index (MFI-14):** Combines price action with volume to determine institutional capital absorption or distribution.
* **Volatility & Structural Boundaries:**
* **Bollinger Bands (20, 2.0):** Isolates extreme price extensions. If price pierces the lower band, an exhaustion "Buy" state triggers; if it pierces the upper band, a "Sell" state triggers; otherwise, it remains balanced ("Neutral").
* **Trend Strength & Direction Balance (DMI/ADX):**
* **Directional Movement Index (DMI):** Identifies whether the positive ($+DI$) or negative ($-DI$) trend force is dominant.
* **Average Directional Index (ADX):** Quantifies the absolute strength of the move. Values below 25 trigger a "Weak" warning, while values above 25 confirm a true trending market.
* **Dynamic Exponential Ribbon (EMA 20/50):** Monitors the fast-to-slow exponential moving average cross to confirm immediate mechanical trend acceleration.
---
## 🚦 HOW TO TRADE WITH IT
### 🔹 Long-Side Execution Matrix (Confluence Buying)
1. **Macro Validation:** Ensure that the *Daily Trend* and *Current Trend* cells display **Bullish** (Mint Green).
2. **Momentum Alignment:** Look for a cluster of **Buy** signals across leading indicators (specifically *Fisher*, *MACD*, and *RSI*).
3. **Volatility Confirmation:** Verify that the *ADX* row indicates **Trend** ($>25$). This confirms that the bullish move has institutional momentum backing it.
4. **Entry Trigger:** Execute when the *EMA 20/50* row transitions to **Buy**.
### 🔸 Short-Side Execution Matrix (Confluence Shorting)
1. **Macro Validation:** Ensure that the *Daily Trend* and *Current Trend* cells display **Bearish** (Crimson Red).
2. **Momentum Alignment:** Look for a cluster of **Sell** signals across *MACD*, *Stoch*, *MFI*, and *RSI*.
3. **Volatility Confirmation:** If price breaks down past a structural level and *Bollinger* shifts out of neutral into an extreme state or *DMI* reads **Sell**, the downward expansion is confirmed.
4. **Entry Trigger:** Execute when the *EMA 20/50* transitions to **Sell**.
### 🛡️ Risk Management & Trailing Protocol
* **Invalidation Point:** If an established Long trade is running and more than three momentum cells (e.g., MACD, Stoch, Fisher) flip rapidly from **Buy** to **Sell**, it signals an impending distribution phase. Use this as an early warning indicator to tighten stop-losses or harvest partial profits before visual price rotation occurs.
---
## ⚠️ RISK DISCLAIMER
Financial market trading involves substantial risk of capital loss. Quantum Trend Matrix is engineered exclusively as a statistical and analytical workflow assistant. Past performance configurations do not dictate, guarantee, or imply future algorithmic outcomes. Always utilize strict capital allocation and risk mitigation frameworks. Indicator
Indicator
Portfolio Treemap [invincible3]Portfolio Treemap
Portfolio Treemap is a visual portfolio monitoring dashboard designed to help traders and investors track multiple holdings directly on the PulseWire chart.
The indicator allows users to enter up to 20 instruments, including stocks, ETFs, crypto pairs, forex symbols, or other PulseWire-supported assets. For each instrument, the user can define the buy price and number of shares or units held. The script then calculates the live market value, cost basis, unrealized profit/loss, and percentage return using real-time chart data.
The dashboard uses a treemap-style layout where larger boxes represent larger portfolio weight based on the selected ranking mode. Box colors show unrealized performance: green for profitable positions and red for losing positions. The stronger the profit or loss percentage, the stronger the color intensity. Empty cells are blended with the chart background for a cleaner and more professional visual appearance.
Key Features:
• Track up to 20 portfolio instruments
• User-defined portfolio name
• Input symbol, buy price, and shares/units for each holding
• Real-time portfolio value, cost, and unrealized P/L
• Treemap-style visual dashboard
• Profit and loss color gradient
• Green boxes for winning positions
• Red boxes for losing positions
• Dynamic text color for light and dark themes
• Empty cells blend with chart background
• Supports stocks, ETFs, crypto, forex, commodities, and indices
• Adjustable dashboard position and size
• Optional portfolio header
• Multiple box-ranking modes: shares, position value, absolute P/L, and absolute P/L %
How to Use:
1. Add the indicator to your chart.
2. Open the indicator settings.
3. Enter your portfolio name.
4. Select each portfolio symbol.
5. Add your average buy price.
6. Add your number of shares or units.
7. Choose how boxes should be ranked: by shares, position value, absolute P/L, or absolute P/L percentage.
8. Use the dashboard to monitor portfolio performance visually.
Color Logic:
• Green = position is in profit
• Red = position is in loss
• Stronger color = larger percentage move
• Neutral color = near breakeven
• Empty spaces blend with the chart background
Important Notes:
For best results, use instruments quoted in the same currency. Mixing assets quoted in different currencies may make the total portfolio value and P/L less accurate unless the user manually adjusts values.
This indicator is intended for portfolio visualization and monitoring only. It does not provide buy or sell signals and should not be treated as financial advice. Always confirm portfolio values with your broker or exchange.
Indicator
