Kyokutan-Ashi◈ Description
The Kyokutan-Ashi is a unique indicator designed to visualize the exact price deviation (noise) that standard Heikin-Ashi (HA) calculations normally smooth out and hide. By completely stripping away the trend component, it isolates pure market volatility and overextension.
◈ The Math Behind It (Why this calculation & Expected Output)
The core logic subtracts the Heikin-Ashi values from standard Japanese candlestick values. The purpose of this calculation is to extract the pure "difference" (noise) between the actual price and the smoothed trend, and then reconstruct it based on a chosen anchor point.
【 Calculation Example 】
Current actual candle: open = 100, high = 105, low = 95, close = 102
Previous HA candle: haOpen = 98, haClose = 100
Settings: Anchor Point = "Open", Multiplier = 1.0
haClose = (100 + 105 + 95 + 102) / 4.0 = 100.5
haOpen = (98 + 100) / 2.0 = 99
Subtract HA from standard values to isolate the noise.
rawOpen = 100 - 99 = 1
rawClose = 102 - 100.5 = 1.5
Add the isolated noise to the baseline (Anchor = Open: 100).
antiOpen = 100 + 1 = 101
antiClose = 100 + 1.5 = 101.5
【 Actual Output 】
A small bullish candle from 101 to 101.5 is plotted on the chart. Although the actual price moved from 100 to 102, removing the trend component reveals that the "pure overextension" (deviation) is only 0.5.
◈ Key Features
Pure Deviation Visualization: Shows only how far the actual price is stretching away from the Heikin-Ashi smoothed price.
Anchor & Base Settings: Choose where to project the deviation (Open, Close, or HL2).
Deviation Multiplier: Scale the noise up or down to easily spot extreme market extensions.
Chart-Type Independent: Built with robust data handling. Even if you change your main chart view to Heikin-Ashi, Renko, or Kagi, Kyokutan-Ashi always forcefully retrieves standard raw price data in the background to guarantee accurate deviation calculations.
◈ Why Use It
Use it in combination with other charts or indicators to extract your own unique noise and trading edges. When Kyokutan-Ashi prints unusually large candles, it signals that the actual price is violently snapping away from the smoothed trend — often indicating exhaustion, potential mean-reversion, or hidden volatility.
◈ Author's Note
While Kyokutan-Ashi was developed independently to address the loss of actual price data in Heikin-Ashi, I later discovered "BERLIN Candles" by lejmer. He had already recognized this critical issue and beautifully engineered a hybrid solution long before I did. I want to express my deepest respect for his foresight and pioneering work in tackling this specific problem.
Indicator
Market Correlation Visualizer (Z-Score)Market Correlation Visualizer (Z-Score & % Var)
OVERVIEW
The Market Correlation Visualizer is a multi-asset analysis tool designed for intraday traders and quant analysts. Instead of relying on static correlation tables, this script plots real-time relative performance across up to 8 benchmark assets (Indices, Volatility, Commodities, Bonds, and Crypto) directly on your chart panel.
By standardizing assets through either Z-Score (Standard Deviations) or Percentage Change, you can instantly spot institutional imbalances, intermarket divergences, and statistical overextensions before they manifest on price action alone.
KEY FEATURES
Dual Engine Calculation:
Z-Score Normalization scales price movements based on rolling standard deviation. It identifies when an asset is statistically overbought/oversold relative to its peers.
Daily % Change Anchor normalizes performance from a customizable anchor time (e.g. Daily Open) to track pure percentage strength or weakness throughout the session.
Smart Right-Hand Labels:
Clean, dynamic labels automatically lock onto the right boundary of the indicator panel, displaying the ticker name and exact current reading. No need to memorize line colors.
Statistical Excess Zones (+/- 2.0 SD):
Visual upper and lower threshold bands immediately highlight extreme mean-reversion zones when using Z-Score mode.
Selective Visibility Filters:
Toggle up to 8 custom symbols on or off directly from the settings menu to keep your workspace uncluttered.
Error-Handled Security Fetching:
Built with robust fallback logic to ensure smooth performance across various brokers without breaking the chart panel if a specific ticker fails to load.
HOW TO USE FOR INTRADAY TRADING
Spotting SMT / Intermarket Divergences:
Watch key correlated pairs (e.g. ES vs NQ). If one index makes a new high while the visualizer line on the other fails to confirm, a liquidity sweep or SMT divergence is in play.
Mean-Reversion & Arbitrage:
When an asset crosses outside the +/- 2.0 Standard Deviation band while others remain neutral, it indicates an overextended asset prone to snapping back toward the zero-line.
Volatility Confirmation:
Track VIX against equity futures (ES, NQ). If ES hits a new low but the VIX line fails to push upward, the selling momentum lacks institutional backing.
DEFAULT TICKERS INCLUDED
Asset 1: TVC:VIX (Volatility)
Asset 2: CME_MINI:ES1! (S&P 500)
Asset 3: CME_MINI:NQ1! (Nasdaq 100)
Asset 4: COMEX:GC1! (Gold)
Assets 5 to 8 (Optional): NYMEX:CL1! (Crude Oil), CBOT:ZB1! (30Y Bonds), CME_MINI:RTY1! (Russell 2000), BINANCE:BTCUSDT (Bitcoin).
All inputs can be fully customized in the script settings. Indicator
Confluence Context - Regime Filter + Market Structure🎯 CONFLUENCE CONTEXT — REGIME FILTER + MARKET STRUCTURE
Your signal tool tells you WHEN. This tells you WHETHER.
Confluence Context — Regime Filter + Market Structure is the companion layer that sits on top of whatever you already trade and answers the one question that wrecks most setups: does the context actually agree? It draws no zones and fires no entries — it reads the environment, scores it, and hands you a single glance-readable verdict. 📊
🔥 WHY IT EXISTS
Most signal tools fire identically in every environment — trending, ranging, dead, or violent. The killer is the clean-looking signal taken in the wrong context: a breakout in a dead session, a continuation against structure, a trend entry while volatility is flatlined. Confluence Context — Regime Filter + Market Structure gates your entry with the four things signal tools love to ignore.
🧩 THE FOUR LAYERS
📐 Market Structure — Swing pivots labeled BOS (Break of Structure, with the trend) and CHoCH (Change of Character, against it), with a running bias: Bullish, Bearish, or Neutral. Confirmed-bar only, capped label history so the chart doesn't clutter.
🌊 Volatility Regime — ATR vs its own moving average, sorting the tape into Low, Normal, or Extreme. This is the regime filter — it tells you whether you're in the environment your strategy was actually built for. Flip on H1 mode to inherit a higher-timeframe regime read from the prior closed 60-min bar, no repaint.
🕐 Session Filter — London / New York / Asia with pair presets (JPY, USD majors, AUD/NZD) or fully custom windows + timezone. Reads the live wall clock, so it flips to "Closed" the moment the market closes instead of freezing on the last in-session bar.
📈 Trend — Price vs a configurable EMA. Simple, and it earns its weight.
These four checks are fused into two weighted tallies instead of shipped as four separate indicators because context only breaks down as a whole — a bullish structure read means nothing if the session is dead and volatility is flat. Splitting them apart would just recreate the blind spot this indicator exists to close.
⚡ HOW THEY STACK (the scoring engine)
Every layer casts a weighted vote into TWO independent tallies — a bull score and a bear score, scored separately so you can actually see when context is fighting itself instead of just being quiet. A fifth slot — External Zone Hit — is a manual toggle (bull and bear separately) you flip the moment YOUR zone or level tool confirms a touch. That's what makes this a companion, not a standalone: it lets your existing setup feed the one input it can't infer.
🎯 THE HIGHLIGHTER
Clear your threshold on the dominant side and the Highlighter collapses both scores into one verdict — Stacked Long, Leaning Long, Balanced, Leaning Short, or Stacked Short. Paint it on the candles, the background, or both. Two candle modes: Verdict Tint paints every bar by net confluence, or BOS/CHoCH Candle paints only the single bar where a structure break confirms, in that event's own label color — a quieter option if you just want structure flips to pop. It confirms context, it doesn't call trades, so it speaks BULLISH / BEARISH, never BUY / SELL.
📋 THE LIVE TABLE
A full breakdown, not just a verdict — all six weighted conditions get their own row with a pass/fail check for both bull and bear, plus ATR, active session, and bias/regime context underneath. An optional oversized headline row sits on top: CONTEXT: BULLISH · Stacked Long · 9 / 2. Six position options, so it never collides with your other panels.
🔔 ALERTS
Structure breaks, all four regime transitions, session opens and full-close, and confluence threshold crosses — all confirmed-bar only. The threshold alerts carry a full payload (symbol, timeframe, direction, score, bias, ATR, session, regime, timestamp) so your webhook or notification has enough context to act on without opening the chart. An optional toggle also alerts when a score drops back below threshold.
🛠️ HOW TO USE IT
Slap it on top of whatever you trade. Tune the EMA, regime multipliers, and session windows to your instrument. Read the verdict off the table or the candle tint — filter your primary signal so you only pull the trigger when context agrees, or let the confluence alert ping you when the dominant side clears threshold.
⏱️ BEST TIMEFRAMES
Built to shine on M15 through H4 — enough structure to mean something, fast enough to act on.
♾️ The whole idea: it stays useful after it's been on your chart for a while.
Repaint policy: structure, regime, and score history evaluate on confirmed bars; the HTF regime read uses a closed-bar offset and doesn't repaint; the session display is live by design and doesn't touch history. Settings are starting points, not advice — tune them to your market and validate before risking capital. Indicator
Forex Liquidity Map [invincible3]b]Forex Liquidity Glow Map
The Forex Liquidity Glow Map is a visual currency-rotation dashboard designed to estimate where relative strength and trading activity are moving across the major Forex market.
The indicator analyzes all 28 unique currency pairs formed from:
USD, EUR, GBP, JPY, CHF, CAD, AUD, and NZD
Instead of evaluating one pair in isolation, it combines information from every relationship connected to each currency. This produces an aggregated flow score for all eight currencies and helps identify the strongest and weakest areas of the Forex market.
Calculation Model
Each Forex pair is evaluated using:
• ATR-normalized price momentum
• Relative tick-volume activity
• Fast-versus-slow trend structure
• Volatility expansion
• Directional breadth
• Score smoothing
• Flow acceleration
A positive pair score strengthens the base currency and weakens the quote currency. A negative pair score strengthens the quote currency and weakens the base currency.
Each currency’s final score is calculated from its seven connected pair relationships.
Because spot Forex is decentralized, the indicator uses PulseWire broker-feed tick volume as an activity proxy. It does not represent centralized institutional order flow.
Forex Liquidity Map
The circular map displays the eight major currencies as nodes.
• Node value: Aggregated currency-flow score
• Node size: Average relative activity across connected pairs
• River direction: Weaker currency toward stronger currency
• River width: Estimated strength of liquidity rotation
• River color: Leading currency in that relationship
• Arrow: Direction of relative capital rotation
A positive score indicates relative strength or estimated inflow. A negative score indicates relative weakness or estimated outflow.
Water Flow Matrix
The scatter matrix shows each currency according to:
• Horizontal position: Current flow score
• Vertical position: Flow acceleration
• Bubble size: Relative pair activity
• Bubble color: Currency identity
The four matrix conditions are:
• Accelerating inflow: Positive flow with positive acceleration
• Weakening inflow: Positive flow with negative acceleration
• Accelerating outflow: Negative flow with negative acceleration
• Weakening outflow: Negative flow with positive acceleration
This helps distinguish a currency that is merely strong from one whose strength is actively increasing.
Dashboard and Pair Ranking
The dashboard includes:
• Currency strength ranking
• Current flow score
• Relative tick activity
• Momentum condition
• Inflow, outflow, or balanced status
• Ranked breakdown of all 28 Forex pairs
• Strongest and weakest currencies
• Best relative-strength pair
• Market confirmation percentage
• Current Forex-rotation regime
For example, when GBP is the strongest currency and AUD is the weakest, the dashboard may identify GBPAUD as the primary relative-strength opportunity.
Update Modes
Confirmed bars only uses completed calculation-timeframe candles. The rivers, matrix, rankings, and signals remain fixed while the current candle is forming.
Live uses the active candle and updates as price and tick volume change. This provides faster information but may change before candle close.
Confirmed mode is recommended for stable analysis and alerts. Live mode is intended for intrabar monitoring.
Display Features
• Responsive bar-index geometry
• Stable layout across intraday and higher timeframes
• Dark and Bright theme presets
• Fully opaque dashboard cells
• High-contrast currency colors
• Adjustable map and matrix dimensions
• Adjustable river threshold
• Optional arrows, glow, tooltips, tables, and signals
• Configurable PulseWire Forex-feed prefix
Interpretation
The indicator is most useful for:
• Finding strongest-versus-weakest currency combinations
• Confirming directional pair setups
• Monitoring broad Forex rotation
• Detecting strengthening or weakening flows
• Avoiding pairs where both currencies have similar strength
• Comparing pair-level movement with broader currency-level confirmation
The output should be used as a market-structure and relative-strength tool , not as a standalone entry system.
Execution decisions should also consider price structure, volatility, liquidity conditions, risk management, and scheduled economic events. Indicator
Zone Radar [DefinedEdge]Price spends most of its time going nowhere. Zone Radar finds those stretches automatically, draws the range while it's still forming, and tells you the moment it breaks and how hard.
🎯 What it does
Zone Radar watches for price coiling inside a bounded range. When a genuine consolidation forms, it marks the zone with its support and resistance, then tracks it live. The instant price closes decisively outside the range, it flags the break and scores its strength from 0 to 100. Strong breaks get a bold label and a projected target.
It is a context and breakout tool, not a signal service. It shows you where the market is compressed and when that compression releases. What you do with that read is yours.
🧭 How a zone is found
A range only qualifies when two things are true at once:
Price stays inside an ATR normalised band for a minimum number of bars, so the width adapts to any symbol or timeframe on its own.
Price does not drift across that band from one side to the other, which filters out slow trends pretending to be ranges.
Once a zone is confirmed the box breathes to hug the real range, but it is capped at the width it formed with. That cap is what makes a breakout meaningful: a close beyond it is a true expansion out of compression, not just another bar inside the noise.
💥 Break strength (0 to 100)
Every break is graded on four things that separate a real breakout from a fake one:
Displacement how far beyond the edge it closed, in ATR
Range expansion the break bar's range against its recent average
Volume surge participation on the break (auto adjusted on symbols with no volume data, like spot FX)
Coil quality how long and tight the range was, since a longer coil breaks harder
Breaks at or above your Strong threshold get the bold badge plus a measured move target: the height of the range projected from the breakout point. Broken edges stay on the chart as polarity support and resistance for the retest.
⚙️ Under The Hood
Signals fire on the close of the breakout bar. No repainting, ever.
Fully adjustable: range length, width, break sensitivity, strength threshold, and how much history stays on the chart.
Works on any market and any timeframe. Tuned nicely for intraday out of the box.
🔔 Alerts
Zone formed, break up, break down, strong break up, strong break down. Wire any of them into your workflow.
📝 Notes
Lower timeframes produce far more zones than higher ones, so only the most recent are kept drawn to stay within platform limits. Raise the zone cap if you want more history, or drop to a higher timeframe for a cleaner chart. The ATR based settings are a starting point, not gospel. Tune them to how your instrument actually moves. 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
FVG Displacement & Fill Scoring [SlatinaTrades]📦 FVG Displacement & Fill Scoring — not every gap earns a box.
Most FVG tools draw every three-candle gap and call it a day. Chart full of boxes, no way to tell which one was actually worth anything. This one scores the displacement that created each gap, tracks its fill lifecycle bar by bar, then bins every completed zone into quartiles and reports whether the score actually separated the good gaps from the noise — on your symbol, your timeframe.
Bidirectional. Context only — no entries, no stops, no targets, no risk anywhere in the file.
THE MECHANICS
📐 Displacement score (0–100) — a weighted composite of gap size (in ATR), displacement-candle range (in ATR), and body/range ratio. Every weight and every normalization point ("gap ATR = full score at X") is a user input.
🔍 Measure-only probes — structure-break (did the displacement candle take out the most recent confirmed pivot?) and volume ratio (displacement volume vs. average) are computed, exported to alerts, and binned in the harness — kept out of the composite until they earn a place.
🚦 Regime, as a flag, not a gate — an HTF SMA direction read. It never blocks a zone from forming or scoring. It only tags the sample so the harness can slice regime-aligned vs. counter-regime.
🔁 Fill lifecycle — every zone moves FRESH → TAGGED → HALF → FULL, with an INVALIDATED branch. Box opacity fades with state so a glance tells you what's live and what's already resolved.
📊 Separation harness — completed zones get binned into quartiles by displacement score, and the table reports mean favorable excursion (ATR-at-tag units) per quartile against a baseline — with a minimum-sample trust flag so a 6-sample bin doesn't get read as gospel. Four slice filters (All / Regime-aligned / Counter-regime / Struct-broke / No-struct) let you test whether the score actually separates outcomes under a given condition.
🎨 Visuals — inline labels capped to the top-scoring live zones (anti-overlap nudge or cascade, optional leader lines), a 50% midline at the half-fill threshold, a callout arrow on the displacement candle, and a dashboard panel. Resolved zones stop drawing the moment they fill or invalidate — the harness still counts them, they just get out of the way.
🚫 Non-repainting — one request.security call, lookahead off. Detection, fill-state transitions, and alerts are all gated by barstate.isconfirmed. One honest exception: the regime read looks at the developing HTF bar in realtime, since it's a flag-only context tag, never a signal — worth knowing if you're auditing for repaint.
🔔 Alerts — FVG born, FVG fill change, FVG any event. Each carries a JSON payload (direction, score, state, structure flag, volume ratio, zone bounds, fill depth) for webhook consumption.
📐 Built for
Any symbol and timeframe where FVGs form — bidirectional, so demand and supply gaps are both first-class. Optional session filter narrows detection to a chosen window if you only want gaps born inside specific hours. Give the harness enough history to clear your minimum-sample threshold before trusting the quartile read.
⚙️ Note
Context tool, not a signal generator.
Built to pass one test: still useful after it's been on your chart a while. — SlatinaTrades Indicator
Edge Profiler - Self-Learning Signal StatisticsAlmost every indicator answers one question: when should I enter. Edge Profiler answers the two questions that actually decide whether an entry is tradable: how far did this exact setup historically go against me before it resolved, and how long did it usually take.
It does that by keeping a record of its own signals on the symbol and timeframe you have open, and turning that record into a stop distance, a target and an expected holding time.
WHAT IT MEASURES
For every signal it has ever produced on the current chart, the script stores four numbers:
MAE, Maximum Adverse Excursion. How far price travelled against the signal before the signal resolved, measured in ATR units so the value is comparable across symbols and volatility regimes.
MFE, Maximum Favourable Excursion. How far price travelled in favour, in the same units.
Duration. How many bars the signal remained the active one.
Outcome. The signal-to-signal return, again in ATR units.
The last N signals are kept, older ones are dropped, so the statistics describe the current regime rather than a market that no longer exists. The sample size is adjustable.
WHAT IT DERIVES
Data Stop. Entry minus the 80th percentile of historical MAE, times the ATR at entry. Read plainly, this is a stop level that 80 percent of past signals on this chart never reached. The percentile is adjustable, so 90 gives a wider and safer stop, 70 a tighter and more aggressive one.
Data Target. Entry plus the median historical MFE. A level that half of past signals reached before resolving. Also adjustable by percentile.
Expected duration. The median bar count of past signals. The panel shows the age of the open signal as a percentage of that median, which flags a move that has already outlived what this setup normally delivers.
Expectancy. The average signal-to-signal return in ATR units. Positive means the engine has historically produced more favourable resolution than adverse on this chart. Negative is a warning, and it is deliberately shown rather than hidden.
Win rate. The share of stored signals whose signal-to-signal return was positive.
WHY EXCURSION STATISTICS AND NOT A BACKTEST
A backtest tells you what a complete rule set produced, and it is only as honest as its exit assumptions. Excursion statistics measure something narrower and more robust: the shape of the move that follows a trigger, independent of any exit rule. That makes the numbers usable no matter how you personally manage the trade. If the median adverse excursion on this chart is 0.4 ATR and you are risking 0.15 ATR, the data is telling you the stop is inside the noise, and no entry technique will fix that.
BRING YOUR OWN SIGNAL
Three transparent entry engines are included, and the statistics profile whichever one is selected:
Volatility Trail. An ATR trailing stop that flips direction when price closes through it. Default.
EMA Cross. Close crossing a single exponential moving average.
Donchian Breakout. Close breaking the highest high or lowest low of the last N bars.
Switching the engine reprofiles everything from scratch on the same chart, which makes it easy to see which of the three has the cleaner statistical footprint on the instrument you actually trade. Two engines with the same win rate can have very different adverse excursion, and that difference is what decides whether a stop survives.
ON THE CHART
Entry line, Data Stop line and Data Target line for the currently open signal.
Shaded risk zone between entry and stop, reward zone between entry and target.
Triangles at each signal.
Bars tinted by the active signal direction.
A panel with the full statistics and the live state of the open signal, including its running MAE and MFE so you can see in real time whether the current move is behaving like its own history or not.
ALERTS
Long signal.
Short signal.
Open signal has moved further against entry than the historical stop percentile.
Open signal has outlived the median duration.
SETTINGS THAT MATTER
Entry Engine. Which signal gets profiled.
Sample Size. How many past signals are kept. Smaller adapts faster and is noisier, larger is more stable and slower to react to a regime change.
Minimum Sample. Statistics stay hidden below this count instead of showing numbers built on four observations. Default 15.
Stop Percentile. The single most consequential setting. It is the trade-off between stop survival and risk size.
READING IT HONESTLY
These are descriptive statistics of past signals on one chart. They are not a forecast and they carry no guarantee. A sample of 20 signals is a hint, not evidence. Statistics drawn from a trending period will misprice risk the moment the market goes sideways, and the percentile you choose is an assumption about how much you are willing to be wrong before you are stopped. Load enough history for the sample to fill, check that expectancy is positive before you take the levels seriously, and treat a negative expectancy reading as the script telling you this engine has no edge here.
This is an analysis tool, not financial advice, and not a trading system on its own. Use it with your own risk management and position sizing. Past behaviour of any method does not guarantee future results. Indicator
Hype Check - Swing: Big Move. Or just HYPE?Is this move actually unusual?
Big candle. Big volume. Everyone suddenly has a thesis.
Cool.
A 4% move in PLTR and a 4% move in KO are not the same event. Over the
last two years PLTR did that once every 4 sessions. KO, once every 125.
Your screener paints both the same shade of green.
something special? NAH.
████░░░░░░ HOLDING THE LOWS
-7.3% from the peak
normal? yes · a normal stretch for QQQ
who's winning nobody · both sides matched
the crowd growing into the fall
next floor 658.20 · 3.4% below, tested twice
above you nothing until 712.40 · 4.6% up
but it closed well off the lows
YEAH . Something unusual is happening.
KINDA . Worth watching. Not enough for a decision.
NAH . Looks dramatic. Statistically, it isn't.
Then it names what the chart is actually doing: BREAKING DOWN, SNAPPING
BACK, HOLDING THE LOWS, COILING, GRINDING UP, RANGE BOUND, and a few more.
THREE THINGS IT DOES DIFFERENTLY
It measures the move, not the calendar. A three day collapse doesn't get
averaged away inside a 20 day window, and a bounce off the low doesn't
erase the fall that came before it.
It sizes levels in the stock's own daily range. Early versions put a
"level" 0.6% away on a stock that routinely moves 8% in a day. Useless.
Now a level only counts if price would have to work to reach it, and the
ones price has turned at more than once are drawn solid.
It will tell you nothing is happening . Most days that is the honest
answer, and most tools won't say it.
YEAH does not mean buy. It means pay attention. A rare move can continue,
reverse or stall, and a great looking setup can still be a bad trade.
No predictions. No magic arrows. No fake certainty.
Rare is not the same as actionable.
Daily swing charts. Free and open source.
Not financial advice.
Indicator
Intraday Price Path Signature - London New York Tokyo WindowsOverview
Intraday Price Path Signature is a time-window price-action study for traders who want to examine how price movement develops inside selected intraday focus periods, including windows commonly monitored around the Tokyo/Asia, London and New York opens.
A conventional session highlighter mainly answers when a regional session is active. This indicator addresses a different question: how was price travel distributed and directed inside the selected window?
Each enabled window is divided into four equal clock-time phases, P1 through P4. The script measures the amount, direction and efficiency of price travel in each phase, classifies the completed sequence, and compares its phase concentration with prior occurrences of the same named window.
The result is a compact price-path signature rather than a broad session background, a set of session levels, or a buy/sell signal. It can be used to research London, New York, Tokyo/Asia or custom focus windows sometimes described by traders as kill zones, without assuming that any time window guarantees a particular outcome.
What makes this different
Most session tools focus on time identification through background shading, open/close markers, session ranges or active-session status. This script focuses on the internal formation of price movement inside a narrower research window.
Its main analytical differences are:
- Four-phase decomposition of every enabled window.
- True-range-style gross price travel that includes gaps between consecutive sampled bars.
- Directional-efficiency filtering so a phase is not called upward or downward merely because it finishes slightly above or below its start.
- A deterministic completed-window classification based on path efficiency, direction alignment, phase concentration and direction changes.
- Independent rolling comparisons for each named window and each matching phase.
- A completed phase strip that states the full P1-P4 sequence directly on the chart.
- A fixed panel that keeps live analytical context away from the candle area.
Core calculation
For each bar inside a focus window, gross bar travel is calculated as:
Gross bar travel = max(high - low, abs(high - previous sampled close), abs(low - previous sampled close))
The first sampled bar uses its own high-low range. This is a bar-based, true-range-style approximation of movement. It includes gaps, but it does not reconstruct the exact tick-by-tick path inside a candle.
The accumulated travel is divided among four equal clock-time phases:
Phase share = phase gross travel / completed-window gross travel
A phase share identifies which quarter of the configured time window contained the greatest portion of measured price travel. It is not a volume measure.
Phase direction is filtered by directional efficiency:
Phase directional efficiency = abs(phase close - phase open) / phase gross travel
When efficiency reaches the configurable threshold, the phase is classified as upward or downward according to its net displacement. When it does not, the phase is classified as rotational. This distinguishes an efficient directional move from a phase that travels extensively but finishes near its starting point.
The completed window also receives a path-efficiency value:
Window path efficiency = abs(window close - window open) / completed-window gross travel
Completed path classifications
A completed window is assigned one descriptive classification. When more than one condition is true, the first matching classification in the following priority order is used:
- Persistent rise or Persistent fall: sufficient window path efficiency and enough phase travel aligned with the completed direction.
- Rotational path: the phase sequence contains the configured number of directional changes and does not qualify as persistent.
- Front-loaded rise or Front-loaded fall: the first two phases contain the configured share of total travel.
- Late acceleration up or Late acceleration down: the final two phases contain the configured share of total travel.
- Phase concentration: one phase contains the configured dominant share of total travel.
- Evenly distributed: the difference between the largest and smallest phase shares remains within the configured tolerance.
- Mixed path: no earlier classification is satisfied.
These labels describe the completed structure under the selected thresholds. They are not forecasts, probabilities or trade recommendations.
Reading the completed phase strip
The default chart annotation is a two-line phase strip for each completed focus window. An example is:
● ASIA P1↑ P2↔ P3↓ P4↑
Front-loaded rise · Peak P2 35.8%
The first line shows the phase sequence:
- P1 through P4 identify the four equal clock-time phases.
- ↑ means the phase completed with sufficient upward directional efficiency.
- ↓ means the phase completed with sufficient downward directional efficiency.
- ↔ means the phase was rotational or did not meet the directional-efficiency threshold.
- · means the phase was not sufficiently observed.
The second line states the completed path classification and identifies the phase containing the largest share of gross price travel. The strip color identifies the configured window. By default, Asia is cyan, London is amber and New York is pink.
Completed strips are anchored to the final bar of their own window and rendered in front of the price chart. Their bodies extend to the left of the anchor so later bars to the right are less likely to pass underneath a historical strip.
The default Auto opposite close placement puts an upward-closing window below its protected price envelope and a downward-closing window above it. Automatic clearance considers the completed-window range, twelve preceding bars, opening and closing gaps, sampled internal gaps, the first bar after completion, local bar range, ATR and a small window-specific lane offset.
This system is designed to reduce candle overlap during normal chart use, including gap conditions. Because labels have a fixed screen-space size while chart scale and zoom remain user-controlled, extreme chart compression can still change the apparent distance between a label and nearby bars. Additional clearance is available in the settings.
Reading the fixed panel
The default bottom-left panel displays only enabled windows and keeps live detail away from the candles.
FOCUS shows the window icon, short code and configured local hours.
STATUS shows whether the window is live, closed or waiting. A live row also shows current completion progress.
PATH identifies the current phase and developing direction sequence while a window is live. After completion, it shows the most recent path classification.
PULSE shows four activity blocks representing the relative gross-price-travel share of P1 through P4. Taller block characters indicate a larger share. PULSE is a price-travel distribution, not volume or order flow.
CTX shows the developing price range during a live window. After completion, it shows the peak phase, its share and, when available, its empirical percentile. A diamond followed by a number is the percentile rank of that peak phase against the same phase of earlier occurrences of the same named window.
Independent historical comparison
Asia P1 is compared only with earlier Asia P1 observations. London P3 is compared only with earlier London P3 observations. New York, London Close and Custom maintain their own independent histories. Data from different named windows or different phase positions is not mixed.
The default rolling baseline contains 24 eligible completed windows and requires at least six prior samples before displaying percentiles. The current completed observation is ranked before it is added to its own history, so it does not inflate its own percentile. Tied values use a mid-rank treatment.
These percentiles are descriptive empirical ranks from the available rolling sample. They are not probabilities of future direction, continuation or reversal.
The following observations are excluded from the rolling baseline:
- A window first encountered after its configured start time because chart history began partway through it.
- A completed window with fewer than the required number of observed phases.
- A window with no measurable gross price travel.
- A window sampled on a chart environment that does not meet the selected timeframe or chart-type requirements.
Default focus windows
Asia Open: 09:00-10:00, Asia/Tokyo, enabled.
London Open: 08:00-10:00, Europe/London, enabled.
New York Open: 09:30-11:00, America/New_York, enabled.
London Close: 15:00-16:30, Europe/London, disabled by default.
Custom Focus: 12:00-13:00, Etc/UTC, disabled by default.
The default day mask is Monday through Friday. Each window has its own IANA timezone, so London and New York follow their selected local daylight-saving rules. These times are configurable research references, not universal exchange, broker or instrument schedules.
Display modes and customization
Phase strip is the publication default. It shows completed phase strips and the fixed panel without broad session shading.
Phase strip + adaptive lens adds a very light live background lens whose hue and transparency respond to the current phase direction and concentration.
Research detail enables optional legacy pulse blocks, block captions and larger research summaries.
Panel only removes bar-anchored chart annotations and leaves the fixed panel.
Users can adjust window names, codes, icons, hours, days, timezones, colors, panel placement, strip clearance, retention limits, analytical thresholds, historical lookback, minimum sample count, visual modes and alerts.
Suggested use
This indicator is intended for intraday research. Five-minute charts generally provide the clearest balance between phase detail and readability. The default maximum timeframe is 15 minutes and can be changed by the user.
Possible research questions include:
- Did most movement occur early or late in the selected window?
- Was the path persistent, rotational, evenly distributed or dominated by one phase?
- Did the largest phase have an ordinary or unusual share relative to recent matching windows?
- Do different instruments show different path signatures around the same local open?
- Does a custom focus period behave differently from the standard Asia, London or New York defaults?
The study can be applied to liquid intraday markets where time-of-day behavior is relevant, including FX, index products, futures, equities and cryptocurrencies. Users should adapt the configured times to the instrument and data feed being studied.
Alerts
Optional informational alerts are available for focus-window start, focus-window completion and unusually high phase concentration relative to the selected historical percentile threshold. Alerts describe an observed state. They are not entry or exit signals.
Limitations and data behavior
- The calculation uses chart bars, not tick data, and cannot reconstruct the exact intrabar route taken by price.
- PULSE measures price travel, not traded volume, liquidity or order flow.
- Historical percentiles depend on the amount and quality of chart history currently available.
- Missing bars, illiquid periods and data-feed differences can change phase sampling.
- Holidays, early closes, exchange-specific breaks and broker-specific schedules are not detected automatically.
- Live panel values develop as new bars arrive and are not final until the window completes.
- Completed phase strips are created from information available when the window ends. The script does not use future bars or lookahead data.
- No higher-timeframe price request is used; calculations are based on the current chart bars and configured local times.
- A standard chart type is required by default. Transformed chart types can alter measured paths and are therefore disabled unless the user overrides the requirement.
- Classification results depend on the selected thresholds. Changing inputs recalculates historical results under the new configuration.
- Automatic label clearance reduces overlap but cannot control every possible screen layout, zoom level or manual chart-scale compression.
What this indicator does not do
- It does not generate buy or sell signals.
- It does not provide entries, exits, targets, stops or position sizing.
- It does not predict the next phase or the next session.
- It does not claim a win rate, accuracy rate or profitability improvement.
- It is not a strategy or a backtest system.
- It is not financial advice.
Use the output as descriptive context alongside independent analysis and risk management. Indicator
SuperTrend (Based on Historical Volatility)The SuperTrend (Based on Historical Volatility) is an advanced trend-following and trailing stop-loss indicator designed to solve a common problem with traditional trend lines-
False flips during choppy, ranging markets.
By analyzing price efficiency, bar-to-bar price shifts, and volume conviction, this indicator dynamically adjusts its distance from the price to protect you from noise while keeping you in the true trend.
Standard SuperTrend vs. Historical Volatility SuperTrend
How a Normal SuperTrend Works:
A standard SuperTrend uses a simple formula: it takes the median price (High + Low) / 2 and offsets a line using the Average True Range (ATR) multiplied by a fixed, static number (like 2 or 3). It plots this line above or below the price. If the price simply closes across this line, the trend flips. Because the multiplier is static, it often gets chopped up and produces false signals when a market moves sideways.
How This Indicator Works:
This version does not use a static multiplier or standard ATR. Instead, it uses a Variance Engine to calculate a dynamic offset. When the market is trending cleanly, the band tightens to trail price closely. When the market is choppy and inefficient, the indicator automatically expands the multiplier to give the price more room to breathe. Furthermore, this SuperTrend will not flip its trend just because a single candle closed across the line; it requires high volume, a deep price push, or prolonged time beyond the line to confirm a true reversal.
How It Measures Volatility
To create this dynamic, breathing band, the script calculates volatility using three primary metrics:
Efficiency Ratio (Noise Measurement): It calculates the net price change over your chosen Lookback period and divides it by the total absolute distance the price traveled bar-by-bar. This tells the script if the market is trending directly or moving erratically.
Price Shift: It measures the absolute change in the average candle price (ohlc4) from one bar to the next.
Volume & Depth Profiling: It measures the current volatility percentage (High-to-Low depth) and compares current volume against the Moving Average of volume to identify true market conviction.
How to Use the Lookback Settings
The Lookback input is the most important setting for determining how this indicator behaves. Rule of thumb: A higher lookback means a more stable trend.
For Trailing Stop-Loss (Swing/Active Trading): Use a low Lookback period like 7 or 20. This keeps the line highly responsive. You must adjust this number slightly to find what fits perfectly for the specific stock or asset you are trading.
For Broad Trend Analysis: If you are trying to analyze the overarching macro trend of an asset, use a high Lookback period, such as 500 or more.
For Intraday Trading (1min, 5min, 15min charts): It is highly recommended to use extreme Lookback lengths of 1000 to 2000. Because intraday timeframes are incredibly noisy, a massive lookback allows the indicator to truly understand how the stock moves historically, filtering out micro-fluctuations and plotting a highly stable, accurate intraday trend direction.
Visual Features
The indicator includes aesthetic options to suit your chart style:
Fill Styles: Choose between a standard Ribbon, a fading Gradient Zone, a Safety Cloud, or turn fills off entirely.
Color Themes: Select between Classic Professional (Mint/Crimson), Dragon Ball Z (Orange/Purple), or Neon Light (Cyan/Magenta).
Indicator
NeuPortal - Forecast: sealed distributions, not pathsDraws a forecast as a DISTRIBUTION at a stated horizon, never as a path.
What it plots, from values you enter yourself:
— median for the horizon
— core 50% zone (25th–75th percentile of the asset's own historical moves over the same horizon)
— wide 80% band (10th–90th percentile)
— the seal: a vertical line at the bar the forecast was fixed on, so left of it is observed and right of it was unknown
— an explicit invalidation level
— a computed daily read (ADX, DI, RSI, MACD, %B, EMA structure, ATR) taken from the chart itself, so the table cannot drift from the price it sits on
There is deliberately no diagonal anywhere. A line drawn from today's price to a future price is read as a claimed route, and a distribution at a horizon is not a route. The size of the expected move is stated as a vertical dimension bracket instead.
Free, open source, no gating, no signals, no DMs.
Educational content — not financial advice. Indicator
Reversal Scalper 2.0- Adib NooraniReversal Scalper - Smoothed Stoch & ATR Trend Filter
Hey everyone, I originally put this script together to help me scalp XAUUSD and Indian equities on lower timeframes, specifically to solve a problem I was having with standard momentum oscillators.
We all know the main issue with using a regular Stochastic for scalping: it’s great for spotting exhaustion, but when a strong trend kicks in, the oscillator just stays pegged in the overbought or oversold zones. If you try to trade those reversal signals blindly, you just get run over by the trend.
To fix this, I created a mashup that combines a smoothed Stochastic with a custom ATR-based structural trend ribbon. The whole point of combining these two indicators is to use the ATR bands to define the actual market structure, and only take the Stochastic reversal signals when the trend filter confirms that the push is actually exhausted.
How the math works:
First, the bottom oscillator (what I call the Reversal Strength Meter) is based on a standard 8-period Stochastic. But to cut out the erratic noise you usually get on the 1m or 5m charts, I ran it through a 5-period Simple Moving Average. It gives a much cleaner read on momentum.
Second, the background trend filter uses a long-term ATR (100-period, halved) multiplied by a deviation factor (default is 3). The script looks back at recent swing highs and lows to project a volatility channel. I linked this channel to the bar colors so you don't need to look at messy lines on your chart.
How to trade with it:
If the price breaks hard outside the ATR channel, the candles change color (white for a strong push up, black for a strong push down). When you see this, it means the trend is expanding—do not look for reversals, even if the Stochastic is at an extreme.
For Longs: Wait for a strong downward push that turns the candles black. Let the smoothed Stochastic dip below the 20 level. You only enter long when the candles go back to their normal color (showing the structural selling pressure has stopped) AND the stochastic crosses firmly back up above 20.
For Shorts: Wait for a bullish push that turns the candles white. Let the stochastic ride up above 80. Your short trigger is when the candles return to normal and the stochastic crosses back down below 80.
I left the inputs open so you can adjust the Stochastic lengths and the ATR deviation factor depending on what timeframe or asset you are trading. Hope this helps you guys filter out the fake outs. Indicator
Market Regime Engine [NQ Labs] WHAT THIS ANSWERS
Almost every indicator tells you WHAT the market is doing. Very few tell you
whether the current market has enough exploitable structure to be worth
risking money on at all. The Market Regime Engine is built for that second
question: should I be trading this right now, and if so, what style of
approach do current conditions actually favour?
It is not a signal generator. It produces no entries. It is a filter you run
underneath whatever you already trade.
WHY IT IS BUILT THIS WAY
Two design decisions separate this from a conventional regime or trend filter.
1. EVERY AXIS IS PERCENTILE-RANKED AGAINST ITS OWN HISTORY.
Most regime tools use fixed thresholds - an ADX of 25, an ATR multiplier of 3.
Those numbers are calibrated to whatever the author tested on. They are the
reason a tool behaves sensibly on one instrument and nonsensically on the
next. Here, each axis is ranked against its own recent distribution on the
current symbol and timeframe, so a 65th-percentile reading carries the same
meaning on a crypto pair as it does on an FX major. Nothing needs retuning
per market.
2. THE THREE AXES ARE ORTHOGONAL BY DESIGN.
Many "confluence" tools stack three views of momentum and present the
agreement as confirmation. Correlated inputs agreeing is not evidence. These
three measure genuinely different properties:
DIRECTIONAL EFFICIENCY - net distance travelled divided by the total path
walked to get there. A value near 1 is a straight line. A value near 0 means
price ended where it started after a great deal of work. This is the most
direct available answer to "is there a trend here", and it is independent of
direction.
VOLATILITY STATE - ATR ranked against its own history. Not "is volatility
high" in absolute terms, but "is volatility high for this instrument".
RETURN PERSISTENCE - lag-1 autocorrelation of log returns. Positive means an
up bar tends to be followed by an up bar, so momentum approaches have
something to work with. Negative means the market reverts. Near zero means
returns carry no usable memory.
THE SCORING LOGIC
The Tradeability Score (0-100) rests on one idea:
Efficiency is the signal. Volatility is the cost of being wrong.
Volatility only hurts you when there is no direction to exploit.
So the noise penalty is the product of how little direction exists and how
violent the market is. It approaches zero inside a strong trend no matter how
wild conditions get - because volatility inside a trend is opportunity, not
noise - and it peaks precisely where traders are most reliably ground down:
low efficiency combined with high volatility. That specific combination is
what the engine exists to flag.
THE FIVE REGIMES
TREND Efficiency high. Directional. Follow it.
VOLATILE CHOP Efficiency low, volatility high. No direction, maximum cost
of being wrong. The state that does the damage.
COIL Efficiency low, volatility low. Compression. Wait.
RANGE Efficiency low, volatility middling. Edges are tradeable.
TRANSITION Efficiency mid-range. No clean read. Reduce size.
A raw regime read must hold for a configurable number of consecutive bars
before it is confirmed. Without that filter, readings that straddle a
threshold flip back and forth for single bars.
REGIME MATURITY - THE PART I HAVE NOT SEEN ELSEWHERE
The engine records the length of every completed regime run on the current
chart and reports the current run against that learned baseline, together with
the sample size behind it.
A trend at 0.3x its typical duration and a trend at 2.4x are not the same
trade, even though every conventional indicator prints the identical reading
for both. A compression that has lasted three times longer than compressions
normally last on this instrument is a different proposition to one that
started six bars ago.
The sample size (n=) is shown deliberately. Below the configured threshold the
cell dims, because a baseline built from two observations is not evidence and
should not be dressed up as though it were.
HOW TO USE IT
The engine is a gate, not a trigger. The intended workflow:
1. Read the Verdict first. STAND DOWN means your edge, whatever it is, is
probably not present. The most valuable output of this tool is the trades
it talks you out of.
2. Read the Regime and Favoured Style. Trend-following systems belong in
TREND. Mean-reversion belongs in RANGE, and only when Persistence confirms
the market is actually reverting rather than merely quiet. COIL means the
setup has not arrived yet. VOLATILE CHOP means nothing you own works here.
3. Read Persistence before choosing an approach. If it reads Random, the
market has no memory to exploit in either direction, and both momentum and
mean-reversion are coin flips.
4. Use vs Typical for position management, not entry. An extended regime is
not a reversal signal. It is a reason to stop adding and to tighten what
you already hold.
5. Let the ribbon and score do the work on the price chart. The dashboard can
be forced onto the main pane so the engine occupies a pane without costing
you chart real estate.
SETTINGS THAT ACTUALLY MATTER
RANKING LOOKBACK is the important one. It must span several complete regime
cycles on your timeframe or every axis will rank near the middle and
everything will read TRANSITION. 250 bars on a daily chart is roughly a year -
a real baseline. 250 bars on a 5-minute chart is under a day, and is not.
On intraday timeframes, raise it substantially.
MINIMUM REGIME RUN trades responsiveness for stability. Higher values give a
calmer read and a cleaner duration baseline at the cost of confirming changes
later. Set it to 1 to see the unfiltered classification.
CHOP PENALTY controls how hard low-efficiency volatility is punished. Set it
to 0 and the score becomes pure efficiency rank.
EFFICIENCY and VOLATILITY thresholds are percentiles, not raw values. They do
not need adjusting per instrument. That is the point.
LIMITATIONS - STATED PLAINLY
- This is a lagging, descriptive tool. It classifies conditions that have
already formed. It does not forecast, and it cannot tell you a regime is
about to end.
- Confirmation costs lag. A genuine regime change registers a few bars late by
design. That is the price of not flickering.
- The maturity baseline is learned from visible chart history and rebuilds
whenever settings, symbol, or timeframe change. It is not persistent memory.
Early in a chart, or for a rarely-occurring regime, the sample is thin. The
n= value tells you when to discount it.
- On intraday equity charts, overnight gaps inflate ATR and distort the
persistence reading. Daily and above, or extended hours, handle this better.
- Autocorrelation is a weak statistic on short samples. Persistence readings
close to zero should be read as "no information", not as a subtle signal.
- Efficiency is directionless. TREND tells you a trend exists, not which way
it points. Pair it with something that reads direction.
- No regime classification is correct at the moment it matters most, which is
the turn. Nothing here changes that.
This script is open-source. Read the code, disagree with it, improve it.
This is an analytical tool for studying market conditions. It is not financial
advice, and it does not generate trade recommendations. Trading involves risk
of loss. Indicator
Multi-Timeframe Squeeze Board LiteWhat it shows
Multi-Timeframe Squeeze Board — Lite answers one question at a glance: "Where is this symbol compressed, and which way is momentum leaning, on every timeframe that matters?" For the chart's symbol it displays a compact table with one row per timeframe — 15m, 1h, 4h, Daily, Weekly — and two readings per row:
- Sqz — the TTM Squeeze compression state as a colored dot, using the standard three-level cascade: orange = high squeeze (deepest compression), red = mid squeeze, black = low squeeze, green = no squeeze (volatility released / normal).
- Mom — the squeeze momentum oscillator as a colored arrow using the classic 4-color scheme: aqua = positive and rising, blue = positive but falling, yellow = negative but rising, red = negative and falling. The arrow points up when momentum is increasing bar-over-bar and down when it is decreasing.
A stacked squeeze (orange/red dots on several adjacent timeframes) marks a market coiling across horizons; the momentum colors tell you which side the pressure is building on.
How it works
Each row runs the full TTM Squeeze calculation on its own timeframe via request.security() with lookahead = barmerge.lookahead_off (no future data, ever):
1. Bollinger Bands: SMA(close, 20) basis, 2.0 × population standard deviation.
2. Keltner Channels: the same SMA(close, 20) basis, with band width = SMA of True Range over 20 bars (simple average of TR — not Wilder's ATR) at three multipliers: 1.0, 1.5, 2.0.
3. A squeeze is on when the Bollinger Bands sit fully inside the Keltner Channel on both sides. The narrower the Keltner band that still contains the BB, the deeper the compression — hence the 1.0-multiplier band defines the high squeeze, 1.5 the mid, 2.0 the low.
4. Momentum is the linear regression of price's deviation from the average of the Donchian midline and the SMA, over the same 20 bars.
By default the board evaluates confirmed bars only: every row shows the last fully closed bar of its timeframe, so a dot or arrow never changes after it appears. See Limitations for the tradeoff.
Inputs
- Squeeze length — lookback for BB, KC and momentum (default 20, the canonical TTM setting).
- Confirmed HTF bars only — ON (default): stable, non-repainting readings that lag up to one bar of each row's timeframe. OFF: rows track the still-forming higher-timeframe bar — more current, but the reading can flip until that bar closes.
- Table position / Table size — where the board sits and how large it renders.
How to use it
Apply it to a 15m chart (or lower) so all five rows populate. Scan the Sqz column top-to-bottom: multiple orange/red dots stacked across timeframes indicate multi-horizon compression — historically the precondition for expansion moves. Then read the Mom column for directional lean while the compression resolves. The board is a context tool: it tells you where energy is stored, not when or in which direction it must release.
Limitations — please read
- Confirmed-bar lag: with the default non-repainting mode, the Weekly row updates once per week, the Daily row once per day, etc. That is the honest cost of stability. Turning the toggle off shows the live forming bar instead, and those readings can change until the bar closes.
- Rows below the chart's timeframe show "–": Pine's request.security() cannot reliably reconstruct lower-timeframe series, so instead of showing a possibly wrong dot the board declines to show one. Use a 15m chart to see everything.
- A squeeze has no direction. Compression means stored energy, not a buy or sell signal. The momentum color is a lean, not a prediction.
- Warm-up: each timeframe needs about 20 bars of history before its row populates (shown as "·" until then).
This board covers one symbol — the chart's.
Indicator
AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management.
This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present.
The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use.
The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions.
AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias.
One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move.
The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement.
Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades.
AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them.
The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic.
Main features include:
• Buy, Sell, and Exit labels
• Teal and pink AlgoZ Pro visual theme
• Price action and market structure based signals
• Internal support and resistance break logic
• Optional BOS / CHoCH structure markings
• EMA trend filtering
• ADX trend strength filter
• Chop and range filter
• Candle quality filter
• Trend lock system
• Countertrend signal protection
• Auto pip size detection
• Auto adjustment for JPY and non-JPY forex pairs
• ATR-based auto pair tuning
• Dynamic stop logic
• Runner-style trade management
• Breakeven / profit lock logic
• Trailing stop logic for stronger moves
• Dead-trade exit protection
• Optional bar coloring
• Optional entry and stop lines
• Optional status table
Recommended default use:
1-minute EUR/USD forex chart.
Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions. Indicator
Two Sigma Factor Composite [JOAT]TWO SIGMA FACTOR COMPOSITE
A tribute to the multi-factor approach pioneered by Two Sigma — long-only, long/short, and risk-premia funds that decompose returns into orthogonal factor exposures, normalise each factor onto the same statistical scale, and combine them into a single signed score. Two Sigma Factor Composite builds five canonical factors (Momentum, Quality, Value, Volatility, Mean-Reversion), Z-normalises each against a rolling baseline, sum-normalises the user-controllable weights, and outputs a composite score with signal labels, factor sparklines on the chart, and a rolling hit-rate backtest.
The five factors
Each factor is computed independently and Z-normalised over a configurable window (default 100 bars) with optional outlier clipping (default ±4σ):
Momentum — return / volatility over the configurable momentum window (default 50 bars). The classic "trend" factor.
Quality — inverse of recent realised volatility (default 50-bar window). Lower volatility = higher quality; an asset that has been calmer is treated as higher quality, consistent with academic factor research.
Value — deviation from a long mean (default 200-bar SMA). Negative deviation = "cheap" (positive value factor exposure); positive deviation = "expensive". The classical cross-sectional value definition, adapted to time series.
Volatility — percentile rank of recent realised volatility (default 20-bar stdev percentile-ranked over 252 bars). High vol = negative factor; low vol = positive factor.
Mean-Reversion — signed deviation from a 20-bar mean (default). Captures short-term reversion bias.
Each factor's window is independently configurable. All five outputs are Z-scores capped at ±4σ to prevent any single outlier from dominating the composite.
Sum-normalised weights
Five weight sliders (default 1.0 each) are normalised internally so any positive combination is valid. Default equal weight is the most defensible baseline; tune individual weights to bias the composite. Want a pure momentum + quality read? Set the others to 0.1 and Momentum/Quality to 2.0. The composite reshapes itself live.
Signal engine — bounded composite with three tiers
The composite is bounded by the clipping cap. The signal engine layers three thresholds:
Buy — composite crosses above the buy threshold (default +1.0σ).
Sell — composite crosses below the sell threshold (default −1.0σ).
Extreme Bull / Extreme Bear — |composite| crosses ±2.0σ. The script's strongest read.
A configurable signal cooldown (default 10 bars) prevents clustering.
Factor sparklines (the signature visual)
The script renders inline sparklines on the chart for all five factors — small line plots that visually show each factor's recent Z trajectory. Configurable base offset (vertical position below zero), row spacing, amplitude, and per-row transparency mapping. At a glance you see which factors are driving the composite and which are flat.
When all five sparklines lean the same way, the composite is high-confidence. When they disagree, the composite is a weighted compromise — the sparklines tell you the truth that a single number cannot.
Visual system
Composite line (configurable width, default 3px) with sign-coloured fill toward zero (configurable transparency).
Threshold lines at ±buyTH and ±extremeTH (configurable transparency).
Buy / Sell labels on chart on threshold crosses.
Factor sparklines — five inline Z-trajectory plots in the pane.
Optional chart-background override to follow chart.bg_color.
A locked Emerald Night palette: vivid green bull / vivid red bear / sage mid on a deep emerald background — strict 2-hue discipline with bg. No third colour invented anywhere; all variations are transparency-only.
Dashboard
Monospaced table positionable to any of eight corners. Surfaces:
Composite Z value and sign.
Per-factor Z rows (Momentum / Quality / Value / Volatility / Mean-Reversion).
Factor agreement percentage (how many factors agree with composite sign).
Last signal direction with bars-ago.
Weight configuration in use.
Backtest stats row — rolling forward-N-bar hit rate (configurable lookahead, default 10 bars). The script's own performance audit.
Alerts
Five alert conditions, each independently controllable:
BUY Cross (composite crosses above buy threshold)
SELL Cross
Extreme Bull (composite > +2.0σ)
Extreme Bear (composite < −2.0σ)
Low Factor Agreement (% of factors agreeing falls below the configurable threshold, default 40%) — the script's "no edge" warning.
How to read it
Three reads, in order of conviction:
Extreme score with high factor agreement (e.g. composite > +2.0σ AND agreement > 80%) — the highest-conviction read the script produces. Four or five factors are pointing decisively one way, and the composite is at a statistical extreme.
Buy / Sell with sparkline confirmation — visual confirmation that the directional read is being driven by multiple factors, not just one. If the composite is bullish but only the Momentum sparkline is leaning, the read is fragile; if Momentum + Quality + Value + Mean-Reversion all lean, the read is robust.
Low Agreement alert — stand-aside signal. The factors disagree internally; the composite is a wash. Wait for re-alignment.
Suggested settings
Defaults (momentum 50 / quality vol 50 / value 200 / vol 20/252 / MR 20, Z window 100, ±4σ clip, ±1.0 buy/sell, ±2.0 extreme, 10-bar cooldown) are tuned for daily charts on broad indices — the timeframes where factor approaches are statistically meaningful. For lower timeframes drop all windows proportionally. For weekly+ keep defaults; factor reads on weekly are the canonical institutional horizons.
Originality / what's reused
The factor-investing framework is published academic finance — Fama-French 1992, Carhart 1997, AQR 2013, and many others. The five factors used here (Momentum, Quality, Value, Volatility, Mean-Reversion) are the canonical institutional factor set. The implementation here — the five-factor pipeline with each factor's window independently configurable, the rolling Z-normalisation with outlier clipping, the sum-normalised five-weight composition, the bounded-composite signal engine with three-tier thresholds, the inline factor sparklines render in the same pane, the rolling forward-bar hit-rate backtest, and the strict 2-hue alpha-only palette — is JOAT-original. No third-party code reused. The script is a tribute to Two Sigma-style factor-composite portfolio construction, not a direct replication of any proprietary Two Sigma model.
Limitations
The five factors are computed from chart data only — they are time-series proxies of the cross-sectional factors used in true multi-asset portfolios. The Z-normalisation needs the window populated; early bars give a warm-up read. The forward-N-bar hit-rate backtest is descriptive of recent signal behaviour under the current settings; it is not a predictive metric. Factor exposures historically underperform for extended periods — the dashboard's agreement row and the low-agreement alert exist specifically to warn you when the model is breaking down.
—
-made with passion by jackofalltrades
Indicator
Bridgewater All-Weather [JOAT]BRIDGEWATER ALL-WEATHER
A tribute to Ray Dalio's All-Weather framework — the macro-regime engine that classifies the current environment along two orthogonal axes : growth (rising or falling) and inflation/volatility (rising or falling) — and maps the resulting quadrant to the asset class that historically performs best in that regime. Bridgewater All-Weather distils that idea into a Pine script: a quadrant classifier built on Z-scored growth and volatility proxies, a 2×2 mini-chart rendered on the chart itself, a regime-tinted background, a rotation-event label, and a Suggested-JOAT-Indicator row that names the best companion script for the current quadrant.
The four quadrants
Q1 — Growth UP, Vol DOWN — Risk-On / Equities regime. Blue.
Q2 — Growth UP, Vol UP — Inflation / Commodities regime. Gold.
Q3 — Growth DOWN, Vol DOWN — Disinflation / Bonds regime. Sage.
Q4 — Growth DOWN, Vol UP — Crisis / Gold regime. Pink.
The asset-class analogues are Dalio's institutional defaults; they can be toggled off if you want pure regime classification without the asset overlay.
Growth and Vol proxies
Macro frameworks need macro inputs. The script approximates the two factors purely from chart data so it runs on any instrument:
Growth proxy — long-window smoothed return (default 100-bar EMA-smoothed return). Z-scored against a long baseline (default 252 bars, the trading-year canonical).
Volatility proxy — rolling standard deviation of returns over the volatility window (default 100 bars). Z-scored against the same baseline.
A configurable Z dead-zone (default ±0.10) treats small Z values as neutral and refuses to register quadrant changes until the Z moves clearly off zero. This eliminates flicker between adjacent quadrants when the signal is genuinely uncertain.
Minimum-bars-hold filter
A quadrant must persist for at least N bars (default 3) before a rotation is committed. This prevents whipsaw classification when growth and volatility cross their respective zero lines on the same bar.
Mini 2D quadrant chart
The script's signature visual: a 2×2 grid rendered directly on the chart (anchored to any of four corners, with configurable cell size in bars and price-height in ATR units). The currently-active quadrant is highlighted in its quadrant colour; the other three are muted. At a glance you see the entire four-state regime classification mapped to its asset analogue. The four hues appear simultaneously only in the mini chart — by design — because elsewhere the script obeys strict one-active-quadrant colour discipline.
Visual system
Background tint by active quadrant (configurable transparency, default 92 institutional-subtle).
Quadrant badge — right-side floating label showing the active quadrant with its colour. Configurable corner.
Rotation label — drops a label on the chart every time the quadrant changes.
Mini 2D quadrant chart (the signature) — 2×2 grid in the chosen corner.
Hidden growth-Z and vol-Z line plots — for users who want to see the underlying scores in the Data Window or feed them to alerts. Off by default.
A locked Sapphire palette: one hue per quadrant (Q1 blue, Q2 gold, Q3 sage, Q4 pink). Because only one quadrant is active at a time, the chart only ever shows one family + the muted background. The strict 4-hue discipline only appears in the mini chart.
Suggested JOAT Indicator row
The dashboard exposes a Suggested Indicator row that names the best-fit companion from the JOAT suite per quadrant. Defaults:
Q1 (risk-on) → Quantum Trend Matrix (trend amplification in a benign environment).
Q2 (inflation) → Liquid Reversal Engine (mean-reversion bands in a volatile-up regime).
Q3 (disinflation) → Smart SR Zones (structure-focused reads in a calming environment).
Q4 (crisis) → Z-Score Flow Pro (extreme-statistics regime for risk-off conditions).
Every suggestion is user-configurable.
Dashboard
Monospaced table, positionable to any of nine corners, with optional row-gradient. Surfaces:
Active quadrant with asset analogue.
Growth Z value and direction.
Vol Z value and direction.
Bars in current quadrant.
Last rotation: from → to with bars-ago.
Suggested JOAT Indicator (toggleable).
Alerts
Three alert conditions, each independently controllable:
Any Quadrant Rotation
Entered Q4 (Risk-Off / Crisis) — the most actionable single alert; usually accompanies risk-off moves across asset classes.
Entered Q1 (Risk-On) — off by default; useful for trend-following entry timing.
How to read it
Three reads, in order of conviction:
Q4 entry — the highest-priority macro alert. Growth is falling and volatility is rising — historically the regime in which risk assets sell off, gold rallies, and defensive positioning wins. Reduce risk exposure regardless of the chart-timeframe signal.
Sustained Q1 — the trend amplifier. The market is in a healthy growth/calm environment; momentum tools have their largest edge. The mini chart visually confirms the regime.
Rotation between adjacent quadrants (e.g. Q1 → Q2 or Q3 → Q4) — regime-transition warning. The market is rotating along one of the two axes; this often precedes the larger directional move.
Suggested settings
Defaults (growth 100 / vol 100 / baseline 252 / dead-zone 0.10 / 3-bar hold) are calibrated to daily charts on broad indices. For lower timeframes drop windows proportionally. For weekly+ raise to 200 / 200 / 500. The dead-zone is the single most important anti-flicker input; widen if your instrument has noisy growth/vol behaviour.
Originality / what's reused
The All-Weather framework is Ray Dalio / Bridgewater Associates' published macro philosophy — a public conceptual framework, not proprietary code. The implementation here — the chart-data-only growth and volatility proxies, the Z-baseline normalisation with dead-zone gate, the minimum-bars-hold rotation filter, the 2×2 mini-chart render in chart units with ATR-scaled cell height, the per-quadrant single-hue palette discipline, the suggested-JOAT-indicator dashboard row, and the rotation-event label engine — is JOAT-original. No third-party code reused. The script is a tribute , not a direct replication of any proprietary Bridgewater model.
Limitations
The growth and volatility proxies are computed from chart data only — they are approximations, not the macroeconomic series an actual All-Weather portfolio uses. The Z-baseline assumes 252 bars approximates a trading year; on non-daily timeframes the interpretation shifts (e.g. on 1H, 252 bars is roughly 10 trading days). The quadrant classification is descriptive of recent chart behaviour, not of the broader macro environment — pair with macro context for serious portfolio decisions.
—
-made with passion by jackofalltrades
Indicator
Advanced Volatility1. Normalized ATR (%) - The Blue Line
What it is: The standard Average True Range (ATR) divided by the current closing price.
Why it matters: It tells you exactly what percentage the asset moves on an average bar. If the nATR is 2.0%, you know the asset swings roughly 2% per candle. This is incredibly useful for setting dynamic stop losses and take profits that scale mathematically with the asset's price, rather than guessing arbitrary dollar amounts.
2. BB Width (%) - The Orange Line
What it is: The distance between the Upper and Lower Bollinger Bands, divided by the Middle Band.
Why it matters: This acts as a highly effective "Squeeze" proxy. Volatility is cyclical; it contracts, then it expands. When you see the Orange line drop to extremely low historical levels, it means the Bollinger Bands are pinching tight. This contraction indicates that energy is building up, and a massive breakout/expansion move is imminent.
3. Historical Volatility (%) - The Fuchsia Line
What it is: A strict statistical calculation heavily used in options pricing (often referred to as HV or Realized Volatility). It calculates the standard deviation of logarithmic returns over a period, and annualizes it (multiplying by √252 trading days).
Why it matters: It gives you the "true" statistical variance of the asset. A rising Fuchsia line means the market is becoming highly chaotic and unpredictable, while a falling line means the market is returning to a stable, directional grind.
By layering all three of these metrics on one panel, you can easily spot when a market has compressed to zero (all lines dropping near the Zero Base) right before a massive trend erupts! Indicator
Indicator
Adaptive SuperTrend -, Regime Filter & Buy/Sell Signals [LunqFX]Adaptive SuperTrend is a self-tuning trend indicator for PulseWire that fixes the biggest flaw of the classic SuperTrend: a fixed multiplier that whipsaws in choppy markets and lags in fast ones. This version makes the SuperTrend multiplier adaptive — it automatically widens in high volatility and tightens in low volatility — and layers a regime filter and a momentum filter on top to deliver clean, non-repainting Buy/Sell signals with an automatic take-profit / stop-loss ladder and live performance stats. It works on forex, crypto, stocks, indices, futures, gold (XAUUSD) and Bitcoin (BTCUSD), on any timeframe, for scalping, day trading and swing trading. Built in Pine Script v6. Keywords: adaptive supertrend, supertrend, trend, trend following, buy sell signals, regime filter, ATR trailing stop, volatility, momentum, take profit, stop loss, risk reward, trend reversal, no repaint, scalping, day trading, swing trading.
◆ WHY ADAPTIVE
A normal SuperTrend uses one fixed multiplier for every market and every condition, so it gets shaken out in volatile phases and reacts too slowly in calm ones. Adaptive SuperTrend ranks current volatility against its own recent history (0–100%) and maps that onto a multiplier range — wide when the market is wild, tight when it is calm — with zero manual tuning. The same settings behave sensibly on EURUSD, BTCUSD and the S&P 500.
◆ WHAT IT DOES
Adaptive trend line + fill — a volatility-adjusted trailing stop that flips turquoise (up) / magenta (down).
Filtered Buy/Sell signals — a trend flip only fires as a signal when two filters agree.
Auto TP/SL ladder — on every signal it draws the stop (on the trend line) and TP1 / TP2 / TP3 at 1R / 2R / 3R, so you get a complete trade plan instantly.
Conviction Score 0–100 — one number summarising how strong the current setup is.
Live win-rate stats — the script tracks its own past signals on the fly.
Neon trend candles + a clean live dashboard.
◆ HOW IT WORKS (the concepts)
Adaptive multiplier: ATR is ranked by percentile over a lookback window; the percentile sets the SuperTrend multiplier between your min and max.
SuperTrend core: the standard trailing-stop formula, flipping direction when price closes beyond the band.
Regime filter (Kaufman Efficiency Ratio): directional travel divided by total path = how trending vs choppy the market is. Signals are blocked in low-efficiency (range) conditions to cut false signals.
Momentum check: a flip is only taken when price is on the matching side of its momentum EMA.
Conviction Score: a weighted blend of trend efficiency, momentum agreement and trend-line slope (0–100).
Live stats: each signal is tracked sequentially — a “win” = price reaches TP1 (1R) before the stop — with no lookahead.
◆ HOW TO USE IT
Take BUY / SELL labels in the direction of the new trend; the SL and TP1/2/3 ladder give you the exact plan and risk/reward.
Favour signals with a high Conviction Score and a TRENDING regime; stand aside when the dashboard shows RANGE.
Manage the trade to TP1/TP2/TP3 or trail with the adaptive line.
Tune Min/Max multiplier for tighter or looser stops and Efficiency threshold for how strict the range filter is.
Combine with your own support/resistance, structure or higher-timeframe bias for confluence.
◆ SETTINGS
Adaptive Trend: ATR length, min/max multiplier, volatility window.
Regime Filter: on/off, efficiency length, trend threshold.
Momentum Check: on/off, momentum EMA.
Visuals: trend fill, glow, neon candles, Buy/Sell labels.
Trade Levels & Stats: auto TP/SL ladder, live signal stats.
Panel: show/hide, position, background, accent.
◆ ALERTS
Buy signal · Sell signal · Trend flip up · Trend flip down.
◆ ORIGINALITY
The SuperTrend trailing-stop formula is a standard, public technique, implemented here from scratch. The adaptive volatility-percentile multiplier, the regime filter integration, the Conviction Score, the R-based TP/SL ladder and the live win-rate engine are my own original work. No third-party or copied code is used.
◆ LIMITATIONS
This is a trend/volatility tool, not a complete system — always confirm with price action and risk management.
Like all trend-following tools, it can chop in tight ranges; the regime filter reduces but cannot eliminate this.
The fixed-R stop in the ladder is a planning aid (constant 1R), separate from the trailing adaptive line — they are different stops by design.
The live win-rate is the indicator’s own TP1-vs-stop estimate; if a single bar tags both the stop and TP1 it is counted as a win, so treat the stat as indicative, not exact.
Past performance and live stats do not guarantee future results.
◆ NON-REPAINTING
Trend, regime, signals and stats are computed from confirmed bar data with no security() lookahead. A signal printed on a closed bar stays. As with any live tool, the forming bar updates in real time and settles on close.
Adaptive SuperTrend is an educational analysis tool, not financial advice. Always do your own research and manage risk. © LunqFX. Indicator
Price Action Bands | Trend & Volatility [RadixAlgo]🔶 About the Indicator
Price action often looks simple after the move is complete, but while the market is moving, traders usually need more context to understand whether price is trending, overextended, pulling back, or simply moving inside normal volatility. This price action indicator was built to make this context easier to read directly on the chart.
It combines a dynamic moving average baseline with upper and lower volatility bands, giving traders a structured way to follow trend direction, measure price extension, analyze volatility, and observe how price reacts around key dynamic support and resistance zones.
At the center of the indicator is a customizable trend baseline that can be calculated with different moving average types, including SMA, EMA, HMA, RMA, WMA, SWMA, and VWMA. The baseline changes color based on the current trend state, helping users distinguish bullish and bearish market conditions without adding unnecessary visual noise.
Around this baseline, the indicator plots adaptive volatility bands using either ATR or Standard Deviation. The upper red bands highlight areas where price may be extended to the upside, while the lower green bands show where price may be stretched to the downside.
This isn’t one of those indicators that tries to tell you exactly when to buy or sell. It’s more like a lens that helps you see what the market is actually doing in real time. Sometimes you’ll notice price hugging the bands during a strong trend, other times it drifts back toward the baseline after stretching too far.
That’s where the real insight comes from. You can tweak the moving average type, adjust how wide the bands are, or smooth things out depending on how fast or slow you like to read the chart. Whether you’re watching quick intraday moves or letting a swing trade develop over days, it naturally adapts to your style without forcing a rigid system on you.
🔶 How It Works
The logic behind Price Action Bands | Trend & Volatility starts with a dynamic trend baseline. This baseline is the central reference point of the indicator and acts as the main structure around which price action is interpreted.
Instead of forcing every market into one fixed moving average model, the indicator allows traders to choose between several moving average types, including SMA, EMA, HMA, RMA, WMA, SWMA, and VWMA.
Each one reads the market slightly differently. SMA provides a classic and balanced view of the average price, EMA reacts faster to recent price changes, HMA is smoother while still being responsive, RMA is useful for softer trend tracking, WMA gives more importance to recent candles, SWMA creates a smoother short-term baseline, and VWMA includes volume in the calculation, making it useful when traders want the trend line to reflect both price and trading activity.
After the baseline is calculated, the indicator compares it with a smoothed version of itself. This creates the trend state logic. When the baseline is positioned above its smoothed signal line, the market is treated as being in a bullish trend state, and the trend area is highlighted in blue.
When the baseline moves below the smoothed signal line, the market is treated as being in a bearish trend state, and the trend area is highlighted in orange. This does not mean that the indicator is generating automatic buy or sell signals. Instead, it gives traders a cleaner way to understand whether the current price action is aligned with bullish pressure or bearish pressure.
The second major part of the indicator is the volatility band system. Around the trend baseline, the script builds upper and lower bands that expand and contract based on market conditions. These bands can be calculated using either ATR or Standard Deviation. ATR measures the actual range of price movement and is useful for understanding how much the market is moving from candle to candle.
It is especially helpful in volatile markets, breakout phases, and fast price movements. Standard Deviation, on the other hand, measures how far the baseline or price behavior is spread from its average condition. This makes it useful for identifying statistical price extension, compression, and overextended market areas.
The indicator uses two band levels on each side of the baseline: inner bands and outer bands. The inner bands represent a moderate volatility zone, while the outer bands represent a more extreme price extension area. When price moves into the upper red bands, it shows that price is stretched above the trend baseline.
This can happen during strong bullish continuation, aggressive breakout movement, or an overextended upside condition. When price reaches the lower green bands, it shows that price is stretched below the trend baseline. This can appear during strong bearish continuation, downside volatility expansion, or an overextended sell-side move.
The upper and lower bands should not be read as simple overbought and oversold levels. This is where the indicator becomes more than just a basic band framework. Price can touch an upper band and continue higher if the trend is strong, or it can leave the upper band and return toward the baseline when momentum starts to fade.
The same logic applies to the lower bands. A move into the lower band can signal strong bearish pressure, but if price exits the band and begins moving back toward the baseline, traders may start watching for a possible reaction, correction, or mean-reversion move. The value comes from reading the relationship between price, the baseline, the trend state, and the volatility zones together.
In bullish conditions, traders usually focus on how price behaves around the blue trend baseline, the upper volatility bands, and pullbacks toward the central structure. A bullish market may show price holding above the baseline, reacting from it, or expanding toward the upper bands as volatility increases. In this environment, pullbacks toward the baseline can help traders evaluate whether the trend is still supported, while movement into the upper bands can show momentum expansion or price extension.
In bearish conditions, the logic is reversed. Traders watch how price behaves below the baseline, how it reacts around the orange trend state, and whether downside movement reaches the lower green bands. Pullbacks toward the baseline may act as areas where bearish pressure returns, while movement into the lower bands can show strong downside volatility or stretched price action.
Because the indicator does not place automatic signals on the chart, the trader remains responsible for interpreting the setup. A breakout, pullback, exit from band, or trend continuation condition is not defined by one single line touch. It is read through context: the color of the trend baseline, the position of price relative to the baseline, the distance between price and the bands, and the way candles react after entering or leaving a volatility zone. This makes the tool flexible for different strategies, including trend-following, breakout trading, pullback trading, volatility analysis, and mean-reversion analysis, while still keeping the chart visually clean.
🔶 Input Parameters
🔹Moving Average Type
Selects the moving average used as the main trend baseline. The available options are SMA, EMA, HMA, RMA, WMA, SWMA, and VWMA. Each moving average type reacts differently to price movement, so traders can choose the one that best matches their trading style.
🔹Moving Average Period
Defines the length of the moving average baseline. Higher values create a smoother and slower trend line, while lower values make the baseline react faster to recent price changes.
🔹Trend Smoothing Period
Controls the smoothing of the trend signal line. Lower values make the trend state more sensitive to changes, while higher values create a smoother and more stable trend reading.
🔹Band Method
Determines how the volatility bands are calculated. Traders can choose between ATR and Standard Deviation. ATR measures market range and movement, while Standard Deviation measures price dispersion around the baseline.
🔹ATR Period
Sets the lookback period for the ATR calculation. This option is active when the Band Method is set to ATR. A shorter period reacts faster to volatility changes, while a longer period creates a smoother volatility reading.
🔹Standard Deviation Period
Sets the lookback period for the Standard Deviation calculation. This option is active when the Band Method is set to Standard Deviation. It controls how price dispersion is measured for the volatility bands.
🔹Band Smoothing Period
Smooths the upper and lower bands to reduce short-term fluctuations. Higher values make the bands more stable, while lower values make them more responsive to recent market movement.
🔹Inner Band Multiplier
Controls the distance of the inner bands from the trend baseline. The inner bands represent the closer volatility zone and can help traders observe moderate price extension.
🔹Outer Band Multiplier
Controls the distance of the outer bands from the trend baseline. The outer bands represent a wider volatility zone and can help traders identify stronger price extension or more extreme market movement.
🔶 Summary
Price Action Bands | Trend & Volatility brings trend direction, price action analysis, and volatility bands into one clean chart-based framework. By combining a customizable moving average baseline with adaptive upper and lower bands, the indicator helps traders understand whether price is following the current trend, pulling back toward dynamic support and resistance, expanding with volatility, or moving into an overextended area. The colored trend baseline gives a quick view of bullish or bearish market conditions, while the ATR and Standard Deviation band methods allow the volatility zones to adapt to different market structures, trading styles, and timeframes.
This indicator is not designed to replace trader judgment with automatic buy and sell signals. Instead, it gives users a practical way to interpret trend-following setups, breakout conditions, pullback opportunities, exit-from-band behavior, mean-reversion zones, and volatility expansion directly on the chart. With flexible settings for moving average type, moving average period, trend smoothing, band method, band smoothing, and inner or outer band multipliers, Price Action Bands can be adjusted for scalping, intraday trading, swing trading, and broader market analysis while keeping the chart readable and focused on real price action.
Indicator
Squeeze Momentum Pro - TTM Squeeze, Volatility Breakout & MomentSqueeze Momentum Pro - TTM Squeeze, Volatility Breakout & Moment is a modern volatility squeeze and momentum indicator for PulseWire that shows you exactly when the market is coiling (building energy) and the precise moment that energy fires into a trend. It combines the classic TTM Squeeze concept — Bollinger Bands contracting inside the Keltner Channel — with a multi-tier compression engine (Squeeze Pro) and a glowing momentum histogram, so you can trade breakouts, momentum, trend continuation and volatility expansion on any market and any timeframe: forex, crypto, stocks, indices, futures, gold (XAUUSD), Bitcoin (BTCUSD), NASDAQ, S&P 500, oil and more. Built in Pine Script v6, it adds neon momentum candles, rare high-conviction squeeze fire signals and a live dashboard — a clean, professional upgrade over a plain squeeze momentum oscillator. Keywords: squeeze momentum, squeeze pro, TTM squeeze, volatility squeeze, momentum indicator, Bollinger Bands, Keltner Channel, breakout indicator, volatility breakout, momentum oscillator, trend, buy sell signals, scalping, day trading, swing trading, no repaint.
◆ WHY THE SQUEEZE WORKS
When Bollinger Bands contract inside the Keltner Channel, volatility is compressing — the market is coiling like a spring. Low volatility is always followed by high volatility. The squeeze tells you a big move is building; the momentum histogram tells you which direction it is most likely to release. Trading the release of a squeeze is one of the highest-reward, lowest-risk setups in technical analysis.
◆ WHAT IT DOES
3 compression tiers (Squeeze Pro): HIGH (BB inside KC x1.0, tightest coil), MID (x1.5), LOW (x2.0), and EXPANSION (bands released). Tier is shown by colour-coded dots on the zero line.
Neon momentum histogram: linear-regression momentum that glows brighter as it extends and dims as it fades — instant read of strength and direction.
Squeeze Fire signals: rare, high-conviction arrows that fire only when a real coil (HIGH/MID) releases — filtered to remove noisy weak releases.
Neon momentum candles: your chart candles are tinted by momentum (turquoise up / magenta down).
Live dashboard: State, a unique Coil Energy gauge (stored energy of the coil), Momentum strength, Signal and Bias.
◆ HOW IT WORKS (under the hood)
Bollinger Bands (length/multiplier) measure compression; Keltner Channel (ATR-based) is the volatility reference. A squeeze is active when both BB edges sit inside the KC edges.
Three KC multipliers create three compression tiers so you can tell a mild coil from a maximum-tension coil.
Momentum is a linear regression of price versus the average of the Donchian midline and the moving average (LazyBear method).
The script tracks the tightest tier reached during each coil; a fire is only flagged when the coil reaches your chosen tier and then releases — so arrows mean something.
Coil Energy accumulates from how long and how tightly price has been compressed, and discharges on release — a unique read of stored breakout potential.
◆ HOW TO USE IT
Wait for a squeeze (especially a HIGH tier — tightest spring). The dashboard shows State and rising Coil Energy.
On the Squeeze Fire arrow, enter in the direction of the histogram colour (teal = long, magenta = short).
Stay in while momentum keeps extending (bars growing, bright colour); exit as momentum fades (bars shrinking, dim colour) or flips across the zero line.
Use Fire on release from to control signal frequency: HIGH only (rare, strongest) → MID+ → Any (more signals).
Works on all symbols and timeframes; combine with your own support/resistance, structure or trend tools for confluence.
◆ SETTINGS
Squeeze Engine: BB length & multiplier, KC length, KC multipliers for HIGH/MID/LOW tiers.
Momentum: linear-regression length.
Fire Signals: release tier threshold (HIGH only / MID+ / Any).
Histogram / Candles: glow, tint chart candles by momentum, optional squeeze-zone shading, fire markers.
Panel: show/hide, position, background, accent colour.
◆ ALERTS
Squeeze Fire Long / Short
High Squeeze started (maximum compression)
Momentum crossed zero
◆ LIMITATIONS
This is a momentum/volatility tool, not a complete system — always confirm with price action and risk management.
On forex and crypto, volatility (ATR) and momentum reflect the data feed of your broker/exchange; results can vary slightly between feeds.
A squeeze signals that a move is building, not its direction with certainty — the momentum colour gives the probable bias, not a guarantee.
With "HIGH only" some calm instruments may rarely reach the tightest tier; loosen the KC HIGH multiplier or switch to "MID+" if you want more signals.
◆ NON-REPAINTING
Every value comes from confirmed bar data with no lookahead and no security() smoothing tricks. A signal printed on a closed bar stays. As with any live tool, the current forming bar updates in real time and settles on close.
Squeeze Momentum Pro - TTM Squeeze, Volatility Breakout & Moment is an educational analysis tool, not financial advice. Always do your own research and manage risk. © LunqFX. Indicator
