Previous Day Regular Session OHLC LevelsPrevious Day RTH OHLC Levels
This indicator displays the most recent completed regular trading session’s Open, High, Low, and Close levels on an intraday chart.
It was built for traders who keep extended-hours data visible but still want clean reference levels from the regular session only. For U.S. equities, the default regular session is set to 09:30 to 16:00, and the default after-hours session is set to 16:00 to 20:00.
What it shows
PDH: Previous regular-session high
PDL: Previous regular-session low
PDC: Previous regular-session close
PDO: Previous regular-session open
The indicator tracks the current regular session’s OHLC values during the day. When after-hours begins, it locks those values and displays them as the prior completed regular-session levels.
Why use it
These levels can be useful as reference points for intraday context, especially when viewing premarket or after-hours price action. They can help show whether price is trading above or below the prior regular-session range, open, or close.
Settings
Regular session: default 0930-1600
After-hours session: default 1600-2000
Show or hide solid OHLC lines
Show or hide right-side labels
Adjust label offset, label size, and line width
Important notes
This is not a buy or sell signal. It does not predict direction. It simply plots prior regular-session OHLC reference levels.
For best results, use it on intraday charts with extended-hours data enabled. It is designed around U.S. equity market hours. Indicator
PivotalX Sessions - Asia, London and New YorkTHE CLEANEST sessions indicator built around the three sessions that matter most: Asia, London, and New York.
Most session indicators try to display everything - Sydney, Tokyo, Shanghai, Frankfurt, NYSE - until the chart becomes unreadable. This one keeps it to the golden three, drawn as clear high/low range boxes with the levels traders actually reference.
WHAT IT DRAWS
A range box for each session, expanding in real time as new highs and lows print
Solid session high and low lines in the session color so the key levels stand out
Optional 50% midline (off by default) for traders who reference the session midpoint
A clean info table showing each session's open and close time, live Open/Closed status, and the active timezone
LEVELS THAT KEEP WORKING AFTER THE CLOSE
Choose how each finished session's high and low project forward:
None: levels end with the session
Until next session (default): levels extend as reference until that session runs again - for example, the completed Asia high and low stay on the chart through London
Until broken: each level extends until price trades through it, then freezes at the break
BUILT-IN ALERTS
Nine alert conditions, available from the standard alert dialog:
Session opened (Asia / London / New York)
Session high broken (Asia / London / New York)
Session low broken (Asia / London / New York)
Break alerts arm only when a session completes, so they fire when price takes out a finished session's high or low - not on every new high inside a live session. Each level fires once, then retires when that session next opens.
DST-SAFE BY DESIGN
Each session is anchored to its home city timezone (Tokyo, London, New York), so daylight saving is handled automatically. The boxes never drift an hour when clocks change and you never need to adjust the settings twice a year. Japan has no DST, so the Asia session is stable year-round.
YOUR TIMEZONE, YOUR CLOCK
Pick your timezone in the settings and the info table converts all session times to your local clock - Sydney, Singapore, Dubai, London, New York and more. Changing the table timezone never moves the boxes; they are anchored to each city and always sit in the correct place on the chart.
KEPT CLEAN ON PURPOSE
Show last N days control (default 15) so old sessions do not pile up
Session inputs hidden from the chart status line for a tidy header
A clear on-chart notice if the indicator is added to a Daily or higher timeframe, since sessions can only be drawn on intraday charts
Indicator
PivotalX Sessions - Asia, London and New YorkA clean sessions indicator built around the three sessions that matter most: Asia, London, and New York.
Most session indicators try to display everything - Sydney, Tokyo, Shanghai, Frankfurt, NYSE - until the chart becomes unreadable. This one keeps it to the golden three, drawn as clear high/low range boxes with the levels traders actually reference.
WHAT IT DRAWS
A range box for each session, expanding in real time as new highs and lows print
Solid session high and low lines in the session color so the key levels stand out
Optional 50% midline (off by default) for traders who reference the session midpoint
A clean info table showing each session's open and close time, live Open/Closed status, and the active timezone
LEVELS THAT KEEP WORKING AFTER THE CLOSE
Choose how each finished session's high and low project forward:
None: levels end with the session
Until next session (default): levels extend as reference until that session runs again - for example, the completed Asia high and low stay on the chart through London
Until broken: each level extends until price trades through it, then freezes at the break
BUILT-IN ALERTS
Nine alert conditions, available from the standard alert dialog:
Session opened (Asia / London / New York)
Session high broken (Asia / London / New York)
Session low broken (Asia / London / New York)
Break alerts arm only when a session completes, so they fire when price takes out a finished session's high or low - not on every new high inside a live session. Each level fires once, then retires when that session next opens.
DST-SAFE BY DESIGN
Each session is anchored to its home city timezone (Tokyo, London, New York), so daylight saving is handled automatically. The boxes never drift an hour when clocks change and you never need to adjust the settings twice a year. Japan has no DST, so the Asia session is stable year-round.
YOUR TIMEZONE, YOUR CLOCK
Pick your timezone in the settings and the info table converts all session times to your local clock - Sydney, Singapore, Dubai, London, New York and more. Changing the table timezone never moves the boxes; they are anchored to each city and always sit in the correct place on the chart.
KEPT CLEAN ON PURPOSE
Show last N days control (default 15) so old sessions do not pile up
Session inputs hidden from the chart status line for a tidy header
A clear on-chart notice if the indicator is added to a Daily or higher timeframe, since sessions can only be drawn on intraday charts
Indicator
Range Fuel GaugeRANGE FUEL GAUGE — HOW MUCH OF TODAY'S RANGE IS LEFT, AS EXACT PRICES
Every instrument has a typical daily range. Once today's session has consumed most of it, breakout odds statistically fade and mean-reversion setups gain relevance. This indicator turns that idea into two things you can actually trade with: a live fuel gauge and two concrete price levels.
WHAT IT SHOWS
- Fuel panel — how much of the typical daily range today has already used (e.g. "79% used"), with a 10-segment bar that shifts green → amber → red, plus today's range, the typical range, and the points still left
- Upper room level — day low + typical range: the statistical ceiling for today if this session behaves like a typical recent session
- Lower room level — day high − typical range: the statistical floor on the same basis
- A side's room level automatically hides once that side of the range is fully consumed
HOW IT WORKS
1. The indicator stores the high-low range of the last N completed sessions (default 20)
2. Typical range = the Nth percentile of those ranges (default P80, adjustable 50-95)
3. Fuel used = today's developing range ÷ typical range
4. Room levels are simple arithmetic from today's day high / day low and the typical range — they tighten as the day's range expands
HOW TRADERS USE IT
- Fuel below 60% (green) — the day still has energy; breakout and continuation trades have statistical room
- Fuel 60-90% (amber) — range maturing; trail tighter, be selective with fresh breakouts
- Fuel above 90% (red) — the typical range is nearly spent; chasing moves is statistically poor, fade setups toward the day's value become relevant
- Room levels act as realistic intraday targets — for example, a long taken mid-session can use the upper room price as a statistically grounded objective
NOTES
- The room levels are statistical references built from this symbol's own recent history — they are not a forecast, and price can and does exceed them on trend days
- Historical ranges come only from completed sessions and never change after the fact; today's reading updates live as the session develops (by design)
- Alert included: fires when today's range crosses 100% of the typical range
- Panel position is selectable (8 positions); prices are shown as integers
- Works on any symbol; designed for intraday timeframes
This is an original implementation in Pine Script v6. The percentile logic and level arithmetic are fully described above.
Educational tool for market context — not financial advice. Indicator
Visible Range Support and Resistance [BigBeluga]🔵 OVERVIEW
Visible Range Support and Resistance is a dynamic support/resistance tool that analyzes price structure only within the visible range of your chart. It detects key levels based on clustered pivots inside a binned vertical range and highlights zones where price has historically reacted. The tool adjusts in real-time as you pan or zoom, offering adaptive precision at any scale.
🔵 CONCEPTS
Pivot Clustering: Price highs/lows are collected into horizontal "bins" across the visible chart range. If multiple pivots align within a bin, that area is marked as a potential support or resistance zone.
Visible Range Only: Calculations are limited strictly to the bars currently visible on the chart. Zooming or panning changes the result.
Bin System: The visible high-to-low range is divided into 100 horizontal zones (bins) to group pivots and detect confluence.
Multi-Threshold Detection: Users can enable two separate S/R detection levels with different pivot count thresholds for more nuanced signals. The more pivot points a level has, the thicker and richer the color.
Directional Context: Labels include arrows (▲ or ▼) to show whether the current price is above (support) or below (resistance) each zone.
Range Boundaries: The top and bottom of the visible range are marked with dashed lines and labeled as Top Range and Bottom Range .
🔵 FEATURES
Detects S/R zones based on the number of pivots found within each price bin.
100 horizontal bins divide the visible price range, allowing high resolution detection.
Only uses data from visible bars—zooming out recalculates the indicator for more data.
Customizable number of pivot confirmations (e.g., 2, 3, 4, 5) before a level is shown.
5 Pivots
Dual-level detection lets you show stronger and weaker zones separately.
Automatically colors support (green) and resistance (blue) with dynamic intensity.
Labels show pivot count and direction (support/resistance).
Automatic cleanup of overlapping levels for visual clarity.
Dashed top/bottom range markers help define the visible scope.
Session SMA calculates from the visible range start (from the chart edge)
Visible range bars count
🔵 HOW TO USE
Zoom in for precise intra-range support and resistance zones based on current structure.
Zoom out to load more pivot data and identify long-term levels.
Use the pivot threshold (e.g., 3 or 4) to control signal strength—higher = stronger levels.
Watch for price reactions or breakouts around high-pivot zones to identify key areas.
Combine with trend, volume, or order flow tools to confirm the relevance of each S/R zone.
Adjust line and label colors for better contrast with your chart theme.
🔵 CONCLUSION
Visible Range Support and Resistance is a smart, range-sensitive tool for mapping meaningful horizontal levels. By scanning only what you see on the screen, it provides an adaptive edge to traders focused on real-time price action. Whether you’re scalping short-term zones or zooming out for macro structure, this tool flexes with your view to keep the most relevant levels front and center. Indicator
Helios v3 Live Regime Signal ToolHelios v3 — User Guide
Introduction
Helios v3 is a daily-timeframe market regime classifier and signal tool for PulseWire. It tells you three things at a glance: what regime an asset is in (five states from Strong Bull to Strong Bear), whether a systematic entry or exit signal has fired, and — just as importantly — when a signal has been deliberately blocked because conditions make it a bad trade.
The core is a four-component trend score: MACD posture, the spread between the close-average and open-average, raw momentum, and position relative to a long moving average. Each component votes +1, 0, or −1, producing a score from −4 to +4 that maps to the regime. On top of that core, v3 adds two confirmation components the original lacked — volume participation (OBV trend) and relative strength against Bitcoin — and two protective gates: a realised-volatility cap that suppresses signals in conditions where trend-following historically fails, and an extension gate that refuses to buy parabolas or sell capitulation lows.
The philosophy: the regime tells you what the market is doing; the signals tell you when the system would act; the gates tell you when acting would be chasing. Transitions matter more than states — a slip from Strong Bull to Moderate Bull is information before any signal fires.
This is a decision-support tool, not financial advice. It describes price behavior; position sizing, risk, and the final call remain yours.
Installation
Open PulseWire and load any chart, then set the timeframe to Daily (the tool is designed and calibrated for daily bars; volatility math assumes them).
Open the Pine Editor (bottom panel).
Delete any placeholder code, paste the entire contents of chameleon_v3_live.pine, and click Save (name it anything).
Click Add to chart. You should see colored bars, a regime label top-right, and the dashboard bottom-left.
To create alerts: click the three dots on the indicator name → Add alert, then pick a condition from the dropdown (see Alerts section below).
Choosing the right settings
Step 1 — Pick the volatility profile
Open the indicator settings and set Volatility Profile. This single dropdown switches all core parameters (MACD lengths, SMA, momentum lookback, confirmation days) and the volatility cap together:
Profile
90D Vol range
Vol cap
Typical assets
LV
under 50%
60%
S&P 500, Nasdaq, blue-chip stocks, major indices, BTC in calm regimes
MV
50–70%
80%
BTC and ETH in normal conditions, large-cap growth stocks
HV
71–90%
100%
Mid-cap cryptos (SOL-tier), volatile tech stocks, leveraged ETFs
SHV
over 90%
130%
Small-cap cryptos, meme coins, new listings, stocks in parabolic phases
You don't need to guess: the dashboard's 90D Vol row shows the asset's current volatility and prints ✓ Suitable or ✗ Use telling you which profile to switch to. Check it whenever you load a new asset, and re-check holdings every few weeks — volatility regimes drift, and an asset that was MV six months ago may be HV now.
Rule of thumb by asset class: indices and megacap equities → LV. Bitcoin and Ethereum → start with MV, follow the dashboard. Altcoins → HV or SHV, follow the dashboard. Anything freshly listed or in a mania phase → SHV.
Step 2 — Set the relative-strength benchmark (alts and stocks)
The RS benchmark input defaults to BINANCE:BTCUSDT, which is correct for altcoins: it asks "is this coin actually outperforming Bitcoin, or just riding its beta?" On a Bitcoin chart the component switches itself off automatically and the score range adapts.
For equities, change the benchmark to something meaningful — SP:SPX or NASDAQ:NDX — so the component measures strength against the relevant index instead of against Bitcoin. If you'd rather not use relative strength at all, untick Use Relative Strength vs benchmark.
Step 3 — Leave the gates alone (at first)
The defaults — buys blocked above z = 2.5, sells blocked below z = −2.5, auto vol cap on — are sensible starting values. Run the tool for a few weeks before adjusting anything. If you later find the vol gate too strict on a specific asset, untick Auto vol cap by profile and set a manual cap; that is the intended escape hatch, but use it knowingly — the gate exists because trend signals taken in extreme volatility have historically been the worst ones.
Reading the chart day to day
Bar colors = live regime. Bright green (Strong Bull, score +3 to +4), light green (Moderate Bull, +1 to +2), yellow (Neutral, 0), light red (Moderate Bear, −1 to −2), bright red (Strong Bear, −3 to −4). The top-right box states the regime in words.
Watch transitions, not states. Promotion into bright green is a confirmed breakout. Bright green fading to light green means the trend is losing a component — open the dashboard and see which one. Yellow rolling to light red to bright red is a regime change in progress. Climbing out of bright red suggests bear exhaustion and a possible base.
The dashboard is the diagnosis panel. It shows each component's current vote (MACD / Spread / Momentum / SMA, then Volume and Relative Strength), the total score against its maximum, the confirmation streak progress, the extension z-score, the vol gate status, your position state, and what size a signal would carry if it fired right now. The most useful daily habit: when a regime weakens, check whether volume (OBV) confirmed the move or diverged from it. Price-up with OBV voting −1 is a hollow rally; price flat with OBV voting +1 is quiet accumulation.
Triangles are signals:
Solid green triangle "FULL" — buy signal at full conviction: score at least +5 and price not extended (z below 1.5).
Lighter green triangle "HALF" — valid buy, but either the score is at the minimum threshold or price is somewhat extended. The system suggests half size.
Solid red triangle "SELL" — exit signal: score collapsed to −4 or worse for the required confirmation days.
Grey hollow triangle "BLK" — a blocked signal. Score and streak fully qualified, but a gate refused it: either realised vol is above the cap, or price is too extended (buys above z 2.5, sells below z −2.5). Blocked buys are worth tracking — when the same setup later fires at lower extension, it is typically the highest-quality entry the system produces.
Signal mechanics, for reference: a buy requires the extended score (core four components plus volume plus relative strength) to hold at +4 or better for the confirmation period — 2 consecutive days on LV/MV, 3 on HV/SHV — with the vol gate open and extension acceptable. Sells mirror this at −4. The system tracks one position state (long or flat) and will not repeat signals while in a position.
Alerts
Five alert conditions are available from the alert dialog:
BUY (full size) — highest-conviction entries.
BUY (half size) — valid but qualified entries.
SELL — confirmed regime breakdown exit.
Signal blocked — conditions met but gated; useful as a "watch this asset" ping.
Regime change — fires on any of the five-state transitions; the best low-noise alert for assets you hold but aren't actively trading.
A practical configuration: regime-change alerts on every core holding, plus buy/sell alerts on the handful of assets you'd actually trade systematically.
Honest limitations
The tool is a trend follower; it will always be late at exact tops and bottoms by design, and it loses money in choppy sideways ranges through whipsaw — the confirmation days and gates reduce this but cannot eliminate it. The volatility cap means some assets in extreme conditions produce no signals at all; that silence is itself the message. Backtested statistics on systems like this rest on a small number of historical trades, so treat any past-performance figure as descriptive, not predictive. And no indicator knows about news, unlocks, earnings, or liquidity events — the regime score is an input to judgment, not a replacement for it.
Indicator
Indicator
Indicator
Momentum Saturation Zones [JOAT]Momentum Saturation Zones
Introduction
Momentum Saturation Zones is an open-source indicator that detects when momentum has reached an extreme and then begins pulling back, marks the price level where that extreme occurred as a zone, and tracks the zone's structural validity until price either respects or invalidates it. The premise is that momentum peaks and troughs at significant price levels leave structural imprints — areas where the market demonstrated conviction — that subsequently act as reference points for support or resistance.
The key differentiator from a simple overbought/oversold indicator is the composite strength scoring: a zone is only created when a configurable minimum score is reached, incorporating the momentum extreme level, the magnitude of the pullback, volume at the peak bar, and whether a divergence is present.
Core Concepts
1. Multi-Source Momentum
The momentum signal is selectable from five sources: RSI, Rate of Change (normalized), MFI, Stochastic RSI, or a composite average of all four. The composite mode averages RSI, normalized ROC, MFI, and StochRSI into a single signal, reducing single-indicator noise while retaining each component's contribution:
float momSeries = (rsiRaw + rocNorm + mfiRaw + stochD) / 4.0
2. Adaptive Pullback Detection
The saturation trigger fires when momentum has pulled back from a rolling peak by more than a configurable percentage threshold. The threshold is adaptive — scaled by the current ATR relative to its 50-bar average. In high-volatility regimes the required pullback is larger; in low-volatility regimes it is smaller. This prevents premature triggers in noisy markets and late triggers in calm ones.
3. Composite Strength Scoring (0-100)
Each potential zone is scored before creation. The score combines four components: how extreme the momentum peak was (0-40 points), how far beyond the threshold the pullback reached (0-20 points), the volume ratio at the peak bar relative to average (0-20 points), and whether momentum divergence is present (0-20 points). Only zones meeting the minimum score gate are created:
float extrem = math.max(0.0, math.min(40.0, (peakAbsMom - 50.0) * 40.0 / 50.0))
float pbScore = math.max(0.0, math.min(20.0, (actualPb - adaptPct) * 2.0 + 10.0))
float volScore = math.max(0.0, math.min(20.0, (volRatio - 1.0) * 20.0))
float divScore = bearDiv and i_useDiv ? 20.0 : 0.0
4. Zone Anchor Logic
Bear resistance zones are anchored at the candle high of the peak bar with the zone extending upward by one ATR multiple — the bottom edge sits exactly at the candle high so price must reach up to touch the zone. Bull support zones are anchored at the candle low of the trough bar with the zone extending downward — the top edge sits at the candle low so price must come back down to touch it.
5. Zone Lifecycle and Touch Counting
Each zone tracks how many times price has returned to it (touch counter displayed in the label). When price closes beyond the invalidation offset, the zone is deleted entirely — no ghost boxes remain. A proximity check before creation prevents duplicate zones from stacking at the same price level.
Features
Five momentum sources: RSI, ROC, MFI, StochRSI, or Composite average
Adaptive pullback threshold: ATR-normalized trigger scaled to current volatility regime
Composite strength scoring (0-100): Extremity, pullback depth, volume, and divergence components
ATR-anchored zones: Three-layer gradient zones (outer, mid, core) with center line
Proper candle anchoring: Resistance bottoms at candle high; support tops at candle low
Touch counting: Zone labels update each time price retests the zone
Proximity deduplication: No duplicate zones within 1.5 ATR of same-side existing zones
Clean invalidation: Zones deleted entirely on invalidation — no ghost boxes
Divergence detection: Momentum divergence contributes bonus points to strength score
Candle coloring: Candles tinted when price is inside or within 0.5 ATR of a valid zone
Dashboard: Momentum value, pullback threshold, volatility regime, active zone count, and directional strength scores
Input Parameters
Momentum Configuration:
Momentum Source: RSI, ROC, MFI, StochRSI, or Composite (default: Composite)
Momentum Length: Period for all momentum calculations (default: 14)
Peak Lookback Bars: Rolling window for peak/trough detection (default: 50)
Saturation Trigger:
Adaptive ATR Threshold toggle (default: on)
Pullback % from Peak: Required pullback to trigger (default: 10%)
RSI Overbought/Oversold: Absolute extreme levels for gate (default: 70/30)
Cooldown Bars: Minimum bars between zone creation events (default: 10)
Zone Settings:
Max Active Zones: Simultaneous zone cap (default: 4)
ATR Length: ATR period for zone sizing (default: 14)
Zone Width (x ATR): Zone height as ATR multiple (default: 1.0)
Invalidation Offset %: Margin beyond zone for invalidation trigger (default: 0.3%)
How to Use This Indicator
Step 1: Read the Zone Strength
Zones display their strength score (0-100) in the label. Higher-scoring zones represent confluences of multiple factors and are historically more likely to produce price reactions.
Step 2: Use Touch Count for Context
A zone touched twice and holding is more significant than a freshly-created zone. A zone touched three or more times that eventually breaks is exhausted — expect the break to accelerate.
Step 3: Watch for Candle Color Changes Near Zones
The candle coloring activates when price enters the zone or comes within 0.5 ATR of it. This provides a passive alert that price is approaching a structural reference.
Indicator Limitations
Momentum peaks do not always coincide with price extremes — the zone is placed at the price of the peak momentum bar, which may differ from the highest/lowest price in the lookback
In strongly trending markets, zones on the trend side may be repeatedly invalidated as trend continues
The strength score is a composite heuristic, not a backtested predictor of zone success rate
Originality Statement
The composite strength scoring system — combining momentum extremity, pullback depth, volume, and divergence into a single 0-100 gate — applied to zone creation is the original analytical contribution. The proper candle-edge anchoring (resistance bottom at candle high, support top at candle low), proximity deduplication, and clean deletion on invalidation are implementation details not present in most published support/resistance zone indicators.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum saturation zones are historical reference levels and do not predict future price reactions. Trading involves substantial risk of loss.
-Made with passion by jackofalltrades
Indicator
Sessions + Killzones [HermesCore]WHAT THIS INDICATOR DOES
Sessions + Killzones tracks the three desk sessions: Asia, London and New York, plus an optional custom window. While a session is open you see it as a live box. When it closes, its high and low become levels. Each level gets a simple 0 to 6 quality score, and from then on the script tracks what price does with it: swept, run, or held.
Every outcome feeds a statistics engine. It answers the core question of this script: what does the next session usually do with the levels of the previous one? Measured on your own chart, with sample sizes shown.
Killzones are the windows where institutional activity concentrates, around the desk opens. They render as background shading, set in New York time per ICT convention (Inner Circle Trader, the school this session vocabulary comes from). The dashboard shows which session and which killzone are active right now, each with a countdown. It also covers the daily window where nothing is open. I gave that window a name: the Dead Zone.
WHY IT IS DIFFERENT
Most session indicators draw boxes and stop. The few that score sessions usually hide how the score works. My rules are:
- A level gets its score at birth and the score never changes. It is built only from facts about how the session formed: range, volume, how clean the extreme was, and confluence with key levels. What happens later is shown by the lifecycle markings, not by changing the score.
- A sweep and a run are two different events. A wick beyond the level that closes back inside is a sweep. That is information: stops were taken and price came back. A close beyond the level plus a 0.1 ATR buffer (Average True Range, a standard volatility measure) is a run. The level is consumed.
- The statistics are counted honestly. A pair like "AS.H in LDN" only counts what happens while London is actually open. Levels that die before their judging session opens are not counted at all. The dashboard shows the n for every pair, so you always see how much evidence sits behind a percentage.
- Sessions are boxes, because their range matters: it becomes levels. Killzones are background shading, because only their timing matters. Two layers, two visual languages.
- Everything updates on confirmed bars only. No intrabar flicker. No levels that appear and disappear within the same candle.
HOW TO READ THE CHART
- Live session box: bright, thick border, session tag in the corner. Closed boxes fade into quiet history.
- Session levels: horizontal lines starting at the bar that set the extreme. A label like "LDN.H A S:5" reads: London session high, grade A, score 5. The abbreviations: AS is Asia, LDN is London, NY is New York, .H is the high, .L is the low.
- Gold color with a soft glow and larger text: the grade is A or S. Those are the premium sessions.
- Thick border on a level: it was swept. The label gets a "swept" suffix.
- Grey line without text: the level was run. It stays as quiet history, or you can have runs deleted.
- Levels expire when the next session of the same type closes. Yesterday's Asia high stops mattering once today's Asia delivers a fresh one.
- Killzone shading: vertical background bands for Asia, London, NY AM, and optionally London Close. All set in New York time.
- Dotted horizontal line: the midnight open at 00:00 New York.
- Dotted vertical lines to the right of price: the projected next open of each session, in session color. The chart version of the dashboard countdown. They respect the Weekdays Only filter.
- Neutral horizontal lines: previous day high and low (PDH, PDL) and previous week high and low (PWH, PWL), always from the last completed day and week. When a daily and a weekly level are equal they merge into one line with a combined label.
- Session midlines (CE, consequent encroachment, simply the middle of the range): dotted at the middle of each closed session, turning solid gold with a label like "AS CE" on the first touch. On by default.
- Killzone range lines: when a killzone closes, its high and low freeze as dashed lines in the killzone color. They carry no score, no lifecycle and no statistics. They are pure context and expire when the next killzone of the same type closes. On by default.
THE SCORE
Every component is measured at session close against the average of the last 20 sessions of the same type. Asia is always compared with Asia, London with London.
- Range: the session range is more than 1.2x its own average, +2
- Volume: the session volume is above its own average, +2
- Clean extreme: the high or low was set in the first half of the session and never revisited within 0.1 ATR, +1
- Key confluence: the level lies within 0.25 ATR of PDH, PDL, PWH or PWL, +1
Grades: S (6), A (5), B (4), C (3), D (0 to 2). There is no strength filter on purpose. A day produces at most six levels, which is scarce enough to show them all and let the grade speak.
SEQUENCE STATISTICS
Six pairs, following the natural hand-off: Asia levels are judged by London, London levels by New York, New York levels by the next Asia. For each pair the dashboard shows the swept share, run share, held share, and n, the number of judged levels behind those percentages. Held means the judging session closed without resolving the level. The optional custom session gets the full level lifecycle but stays out of these statistics.
This is regime information. If "AS.H in LDN" shows 36 percent swept while the lifetime base is 45, London is currently respecting Asia highs more than usual. An alert can warn you when a pair crosses 70 percent swept.
THE DEAD ZONE
Between the New York close and the Asia open, nothing is open. I named that window the Dead Zone, and it does real work here. Liquidity is thinnest there. A New York level that gets run inside the Dead Zone disappears before Asia ever gets to judge it. That is why the New York pairs always show a smaller n: n only counts levels that survived until their judging session opened. The dashboard names the Dead Zone when you are in it and counts down to the next open. Neutral shading, on by default, makes it visible on the chart. It is defined as "no session live", so it stays correct through every daylight saving (DST) change, and with Weekdays Only on, the whole weekend becomes one long Dead Zone.
DASHBOARD
Session now with a closing countdown, or Dead Zone with an opening countdown. Range and volume of each session against its own average, live sessions marked. The six pairs with percentages and n. Active level count, the lifetime swept versus run ratio, and Killzone now with its own countdown. Heat bars are proportional everywhere.
HOW I USE IT
My preferred timeframes, in order:
- 15m is the home base. Sessions are 30 plus bars wide, so the clean extreme component means something. The 09:30 New York open lands exactly on a bar. And the chart loads the most history, which gives the statistics their highest n.
- 5m is the execution frame. Sweeps and runs resolve on bar closes, so 5m shows the fight around a level in finer detail, and killzones become readable blocks. The cost is sample size: the statistics run on roughly a third of the history, so I treat those percentages as indicative and keep the regime read on 15m.
- 1h works but is the edge case. Hourly bars cut off the 09:30 New York open, and a six bar session makes the score coarse. Above 1h the script draws nothing on purpose.
On 15m I read the dashboard first: which session is live, how its range compares with average, and what the pair stats say about the current regime. Levels graded A or S from a session that expanded on volume are the ones I treat as real liquidity references, especially with key confluence. Then I watch how the next session treats them. A sweep, thick border, stops taken and price rejected, is a different trade than a clean run. I drop to 5m for execution around those levels and during killzones. I do not use this above 1h, and the script will tell you the same.
The way I think about it: session highs and lows are liquidity pools with a clock attached. Equal highs can form anywhere, but a session extreme tells you which desk made the level, when it stops being defended, and, through the statistics, what usually happens to it next.
SETTINGS THAT MATTER
- Sessions: four windows, each with its own IANA timezone (Asia/Tokyo, Europe/London, America/New_York by default). These are real timezone names, not UTC offsets, so daylight saving is handled automatically. The sessions simply follow their local clocks.
- Weekdays Only: off by default. Crypto trades the weekend, and weekend sessions usually grade D by themselves on thin range and volume. Turn this on and everything restricts to Monday through Friday: the weekend becomes one long Dead Zone, Friday New York levels wait for Monday Asia, and the countdown switches to a days format.
- Max Session Boxes: 42 keeps two weeks of session history for a zoomed-out view, 6 keeps two days for intraday focus.
- Run Levels Become: greyed history or deleted. Your choice of how loud the past is.
- Focus Fade: levels more than 6 ATR away from price render dimmed, gold glow included, so your eye goes to what is in play.
- Killzones: four windows in New York time, each with its own color. London Close is off by default. Killzone Range Lines adds the frozen high and low of each completed killzone as dashed lines.
- Timeframe guard: above 60 minutes the script draws nothing and says why. This is an intraday tool, and pretending otherwise would only produce misleading levels.
ALERTS
Session Opened, Session Closed, New A/S Session Level, Session Level Swept, Session Level Run, Killzone Started, Session Midline Tapped, Sweep Rate Threshold (a pair crossing 70 percent swept with n of at least 10).
CALCULATION DETAILS
- All state changes happen on confirmed bars. Sweeps, runs and statistics never repaint within a bar.
- Sessions use Pine session strings with full IANA timezone support. Without a day filter, Pine fires sessions on all seven days. That is correct for 24/7 markets, and it is what the Weekdays Only toggle changes.
- The rolling averages for range and volume use the last 20 completed sessions of the same type, calculated before the current session is added. A session is never compared with itself.
- A sweep needs a wick beyond the level with the close back inside the 0.1 ATR buffer. A run needs a close beyond the level plus the buffer. A first sweep marks the level, a later run still resolves it.
- Outcomes are only recorded while the judging session is open. A level that survives its judge counts as held at the judge's close.
- The statistics are computed from the bars your chart loads. They reload per chart timeframe. 15m loads the most history and gives the highest n. On 5m the same engine runs on roughly a third of the sample, treat those percentages as indicative.
HONEST LIMITATIONS
- The statistics describe the past, they do not predict. They tell you what this chart did over the loaded history, not what it will do next.
- n differs per pair by design. Levels run inside the Dead Zone leave the population before their judging session opens, which is why the New York pairs carry a smaller n. That is honest counting, not a bug.
- Statistics depend on the chart timeframe and the loaded history, so two timeframes show different percentages. Neither is wrong, they measure different samples.
- With Weekdays Only off, weekend sessions are part of the statistics. With it on, both n and the percentages change, because you measure a different market. Neither setting is the truth, they answer different questions.
- Scores compare a session with its own rolling history, so the first 20 sessions of each type on a fresh chart carry less reliable scores while the averages fill up.
- On 1h charts bar alignment can cut off session opens (there is no 09:30 bar on an hourly chart). That is part of why the timeframe guard sits at 60 minutes.
ORIGINALITY
The session and killzone concepts come from the public ICT vocabulary and from years of session-based intraday trading. Every line of code, the scoring system, the sweep versus run grammar, the judged-while-open statistics engine, the Dead Zone concept and the visual language are my own work.
Questions and suggestions are welcome in the comments. If the stats surprise you on your market, that is usually the most interesting place to start reading.
Indicator
Swing GuideSwing Guide
Swing Guide is a clean and beginner-friendly market structure tool designed to help traders read swings, trend shifts and pullback zones directly on the chart.
The script connects important swing highs and swing lows with a simple visual line, then labels each structure point in a clear and intuitive way.
STRUCTURE LABELS
High+ = Higher High
Price made a new high above the previous swing high.
Low+ = Higher Low
A pullback held above the previous swing low.
High- = Lower High
A bounce failed below the previous swing high.
Low- = Lower Low
Price broke below the previous swing low.
These labels help traders quickly understand whether the market is building bullish structure, bearish structure, a possible shift, or a temporary pullback.
WHAT THE INDICATOR SHOWS
• Swing line connecting key market structure points
• Compact High+ / Low+ / High- / Low- structure labels
• Current market condition in the dashboard
• Bullish or bearish structure context
• Last important structure point
• Preferred directional bias
• Current structure-based risk state
DASHBOARD
The dashboard summarizes the current market structure in simple words.
Now
Shows the current market condition, such as Uptrend, Downtrend, Healthy Pullback, Weak Bounce or Possible Reversal.
Structure
Summarizes the broader structure context: Bullish, Bearish, Bullish Shift or Bearish Shift.
Last Point
Shows the latest structure point: New High, Higher Low, Lower High or New Low.
Bias
Gives a simple context reading: Long Preferred, Short Preferred or Wait.
Risk
Highlights the current structure risk, such as Trend Extension, Pullback Zone, Weak Recovery or Breakdown.
MAIN SETTINGS
Swing Sensitivity
Controls how many swing points are detected.
Lower values show more swings and more detail.
Higher values filter out smaller moves and keep the chart cleaner.
Repaint Forming Leg
When enabled, the latest swing leg updates live as price develops. This gives the classic real-time swing guide look, but the last leg can move until the structure is confirmed.
When disabled, the script draws only confirmed swing legs. This reduces movement after printing, but the latest swing may appear with a delay.
Structure Label Transparency
Adjusts how soft or visible the High+ / Low+ / High- / Low- labels appear on the chart.
HOW TO USE
Swing Guide is designed as a visual map of market structure.
It can help traders understand where the market is making higher highs, higher lows, lower highs or lower lows.
A bullish structure is usually built with High+ and Low+ points.
A bearish structure is usually built with High- and Low- points.
A possible structure shift may appear when the market starts breaking the previous sequence of highs and lows.
The dashboard is intended to simplify this reading and provide a quick summary of the current structure.
Indicator
Elaris Absorption Zones ProElaris Absorption Zones Pro
Elaris Absorption Zones Pro is an advanced price-action and volume analysis indicator designed to identify potential absorption events where aggressive market orders are absorbed by opposing passive liquidity.
The indicator focuses on situations where price attempts to break an important level but fails to continue, suggesting that significant limit orders may be absorbing the incoming buying or selling pressure.
Unlike traditional breakout indicators that look for continuation, this tool is designed to highlight failed auctions, rejection events, and potential liquidity absorption zones that may lead to reversals, pullbacks, or reduced directional momentum.
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What Is Absorption?
Absorption occurs when aggressive participants repeatedly attempt to push price through a level using market orders, but opposing limit orders absorb that pressure and prevent further movement.
Examples include:
• Buyers aggressively pushing above resistance but failing to achieve continuation.
• Sellers aggressively pushing below support but failing to achieve continuation.
• Large rejection wicks appearing after a breakout attempt.
• High volume with limited price progress (Effort vs Result imbalance).
These conditions can indicate the presence of significant liquidity providers defending a price area.
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How The Indicator Works
The indicator combines multiple confirmation layers:
Market Structure Analysis
The script monitors:
• Confirmed swing highs and swing lows
• Recent trading ranges
• Failed breakout attempts
Price must first attempt to break an important structural level before absorption conditions can be evaluated.
Rejection Analysis
The indicator evaluates:
• Upper wick size
• Lower wick size
• Body-to-range relationship
Large rejection wicks combined with small candle bodies may indicate strong opposing liquidity.
Volume Confirmation
Volume is evaluated using:
• Relative volume
• Volume moving averages
• Optional volume Z-score analysis
This helps identify situations where participation is elevated compared to normal market activity.
Effort vs Result Model
One of the core components of the indicator is Effort vs Result analysis.
High volume combined with poor directional progress can indicate that incoming orders are being absorbed rather than successfully moving the market.
Absorption Scoring
Every detected signal receives a strength score based on:
• Rejection quality
• Relative volume
• Candle efficiency
Higher scores generally indicate stronger absorption characteristics.
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Features
✔ Bullish absorption detection
✔ Bearish absorption detection
✔ Failed breakout recognition
✔ Confirmed swing structure analysis
✔ Range breakout absorption detection
✔ Relative volume filters
✔ Volume Z-score filtering
✔ Effort vs Result analysis
✔ Absorption strength scoring
✔ Optional absorption zones
✔ Zone retest detection
✔ Dashboard with live metrics
✔ Alert conditions
✔ Non-repainting confirmation mode
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Bullish Absorption
Bullish absorption may occur when:
1. Price breaks below support.
2. Sellers attempt continuation.
3. Price quickly returns above the level.
4. A strong lower rejection wick forms.
5. Volume confirms elevated participation.
This may suggest that passive buyers absorbed the selling pressure.
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Bearish Absorption
Bearish absorption may occur when:
1. Price breaks above resistance.
2. Buyers attempt continuation.
3. Price closes back below the level.
4. A strong upper rejection wick forms.
5. Volume confirms elevated participation.
This may suggest that passive sellers absorbed the buying pressure.
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How To Use
Many traders use absorption signals as:
• Early reversal warnings
• Liquidity sweep confirmations
• Support and resistance confirmation
• Market structure confirmation
• Trade management tools
For best results, consider combining absorption signals with:
• Trend analysis
• Market structure
• Higher timeframe context
• Risk management rules
• Additional confirmation tools
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Non-Repainting
When "Confirm Only After Candle Close" is enabled, signals are generated only after a candle has fully closed.
Confirmed swing levels are based on completed pivot structures.
This helps reduce signal instability and prevents intrabar repainting behavior.
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Important Notes
This indicator does not use Level II, order book, footprint, or exchange matching engine data.
Because PulseWire Pine Script does not have direct access to actual market order flow, absorption is estimated using a combination of price action, rejection behavior, volume analysis, and structural breakout failure characteristics.
As with all trading tools, signals should be used as part of a complete trading plan and not as standalone buy or sell recommendations.
Indicator
Kalman Trend Filter [JOAT]Kalman Trend Filter
Introduction
Kalman Trend Filter is an open-source trend detection indicator that applies a two-state Kalman filter to price, tracking both the filtered price level and its velocity simultaneously. Unlike exponential moving averages — which apply a fixed exponential decay to past data — the Kalman filter dynamically adjusts its responsiveness based on the ratio of process noise to measurement noise. When price is moving consistently in one direction, the filter trusts new measurements more heavily. When price is noisy, it trusts its own model more heavily.
The practical result is a trend line that responds faster than an equivalent EMA during genuine trends while remaining smoother during chop. The velocity state is the direct indicator of trend direction and strength — it is what drives signal generation and candle coloring.
Core Concepts
1. Two-State Kalman Filter
The filter tracks two quantities: price (position state) and the rate at which price is changing (velocity state). The prediction step projects both states forward using simple kinematic equations. The correction step updates them based on how much the current close deviates from prediction:
// Prediction
float xPred = xEst + vEst
float pPred = pEst + qNoise
// Kalman gain
float kGain = pPred / (pPred + rNoise)
// Correction
float xEst = xPred + kGain * (close - xPred)
float vEst = vEst + kGain * (close - xPred)
The process noise (qNoise) and measurement noise (rNoise) parameters control how much the filter trusts its own momentum model versus new price data.
2. Velocity as Trend Proxy
The velocity state is the most analytically useful output. Positive velocity means the filtered price is accelerating upward; negative means downward. The magnitude of velocity indicates trend strength. Velocity crossing zero is a higher-quality trend reversal signal than a moving average crossover because it reflects the momentum of the filtered series, not the level.
3. Gradient Candle Coloring
Candles are painted using a two-sided gradient driven by the velocity state. Strongly positive velocity produces bright cyan candles; strongly negative produces bright magenta. Near-zero velocity transitions to neutral. The gradient intensity scales with velocity magnitude rather than applying a binary color switch.
4. Velocity Oscillator
The velocity state is plotted as a separate sub-indicator below the main chart, providing a visual oscillator that crosses zero at trend reversals. Unlike momentum oscillators derived from price differences, this oscillator represents the Kalman filter's internal estimate of trend rate — it is inherently smooth without additional EMA smoothing.
Features
Two-state Kalman filter: Tracks price level and velocity simultaneously
Configurable noise parameters: Process and measurement noise control filter responsiveness
Filtered price line overlay: Smooth trend line drawn on the price chart
Velocity oscillator: Kalman velocity state as a zero-line oscillator
Velocity zero-cross signals: Bull and bear signals when velocity crosses zero
Gradient candle coloring: Cyan for upward velocity, magenta for downward, scaled by magnitude
Dashboard: Current filtered price, velocity, trend state, and noise parameters
Alerts: Velocity zero-cross and extreme velocity alerts
Input Parameters
Kalman Engine:
Process Noise (Q): How much the filter trusts its own velocity model (default: 0.01)
Measurement Noise (R): How much the filter trusts new price measurements (default: 1.0)
Initial Velocity: Starting velocity state (default: 0.0)
Display:
Show Filter Line toggle
Show Velocity Oscillator toggle
Show Candle Color toggle
How to Use This Indicator
Step 1: Read Velocity Direction
Positive velocity (oscillator above zero, cyan candles) indicates the filter is trending upward. Negative velocity (below zero, magenta candles) indicates downward trend. The magnitude tells you how strong.
Step 2: Use Velocity Zero-Cross as Trend Change Signal
When velocity crosses from negative to positive, the filter's internal momentum model has flipped bullish. This is more reliable than a price crossover because it reflects the rate of change of the filtered series.
Step 3: Tune Noise Parameters to Timeframe
On faster timeframes, increase Q slightly (0.02–0.05) to make the filter more responsive. On weekly charts, reduce Q (0.001–0.005) for a smoother, slower-adjusting filter.
Step 4: Combine with Regime Context
The Kalman filter performs best in trending regimes. Combine with Fractal Dimension Oscillator: when FDO shows a trending regime, Kalman velocity direction provides the trend bias.
Indicator Limitations
The Kalman filter assumes a linear motion model; non-linear price dynamics (sudden gaps, news events) produce temporary distortion in the filter state
Optimal Q and R values are instrument and timeframe dependent; no universal setting works everywhere
Velocity zero-crosses during low-volatility consolidation can produce frequent false signals
Originality Statement
The two-state Kalman filter implementation combined with a velocity-driven gradient candle coloring system, a dedicated velocity oscillator, and dual-input noise parameter configuration in a single publication is the original contribution here. Most published Kalman filter scripts on PulseWire implement a single-state position filter with no velocity tracking and no gradient visualization.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Kalman filter outputs are mathematical estimates based on prior observations and do not predict future price. Trading involves substantial risk of loss.
-Made with passion by jackofalltrades
Indicator
Open Grid MatrixHave you ever paid close attention to the open price?
It is more than just the first traded price of a session or timeframe.
It often becomes the boundary between bullish and bearish intent, a line where conflicting expectations, positioning, and reactions collide.
This indicator was built to visualize those open prices across multiple timeframes in a clean and practical way.
Open Grid Matrix displays the open levels of several key timeframes on a single chart, allowing you to track how price behaves around them in real time. These levels often act as subtle but important reference points for continuation, rejection, hesitation, and momentum shifts.
In addition to the horizontal open lines, the indicator also plots vertical marker lines. These are aligned with repeating interval structures, especially the common 30-minute rhythm where scheduled data releases, market transitions, liquidity shifts, and session-based reactions often cluster.
What this indicator does
* Plots multiple timeframe open prices on one chart
* Extends each open line forward until the next open of the same timeframe
* Displays vertical interval markers to help frame timing structure
* Lets higher timeframe opens stand out more clearly with thicker line settings
* Uses distinct colors for each timeframe so you can quickly separate lower and higher timeframe references
Why open prices matter
Open prices are often overlooked compared to highs, lows, or closing levels, but they can be highly useful because they represent a reset point in market participation.
They can help you identify:
* bullish or bearish acceptance around a level
* hesitation and indecision zones
* intraday reaction points
* higher timeframe directional references
* areas where multiple opens begin to cluster together
How to read it
Lower timeframe opens can help with short-term structure and execution.
Higher timeframe opens can serve as broader directional anchors.
For example:
* lower timeframe open lines can highlight intraday balance shifts
* daily and weekly opens can act as strong reference zones
* monthly opens can provide a wider structural boundary
* vertical interval lines can help you anticipate moments where timing itself becomes important
Who it is for
This tool is designed for traders who like to read the chart through structure, timing, and reaction rather than relying only on conventional indicators.
It is especially useful for traders who want to keep important session and timeframe opens visible at all times without manually drawing them.
Open Grid Matrix is a visual framework for traders who believe that where price opens often matters just as much as where price moves. Indicator
Entropic Structure Bands [JOAT]Entropic Structure Bands
Introduction
Entropic Structure Bands is an open-source overlay indicator that dynamically selects the best-fitting Ordinary Least Squares regression window from recent structural pivots and surrounds that regression channel with entropy-adjusted deviation bands. The key innovation over standard regression channel indicators is twofold: the window length is selected optimally each bar by searching through available pivot anchors for the highest R² × log(N) quality score, and the band width is modulated by the current Shannon entropy of log returns — widening during chaotic periods and tightening during orderly ones.
Core Concepts
1. Optimal Regression Window Search
Rather than using a fixed lookback, the indicator records the bar index of every confirmed pivot high and low. Each bar, it tests several candidate windows anchored at recent pivots and selects the one that maximizes a performance score: R² multiplied by the natural log of the window length. This rewards both fit quality and window depth simultaneously:
float score = r2 * math.log(float(N))
// highest score wins; window updates every bar
if trial.perfScore > bestScore
bestScore := trial.perfScore
bestMdl := trial
The regression channel therefore adapts to where significant price structure has occurred, not to an arbitrary fixed period.
2. Shannon Entropy Modulation
Shannon entropy of the log return distribution is computed using a histogram-binning approach. Low entropy means returns are concentrated — price is moving in an organized, directional way. High entropy means returns are evenly distributed — chaotic, noisy conditions. Band width scales with entropy:
float entAdjDev = bestMdl.stdErr * (1.0 + entNorm * 0.8)
When entropy is low (below the configurable threshold), the market is classified as orderly and signals are enabled. This prevents signals from firing into chaotic conditions where regression bands have less predictive value.
3. Trend-Confluence Signal Logic
Signals require simultaneous alignment of six conditions: regression slope direction, price position relative to midline, recent pullback to the inner band, momentum confirmation, optional HTF slope alignment, optional ADX trending gate, and optional RSI gate. Each condition is individually toggleable. This multi-factor gate replaces simple band-crossover logic with a structured confluence requirement.
4. Forward Projection
The regression channel extends forward by a configurable number of bars beyond the right edge of the chart. A projection target label marks the estimated price at the end of the projection window based on the current slope and intercept. This gives visual context for where the regression model expects price to be if the current trend continues.
5. Z-Score Candle Coloring
Each candle's position within the channel is expressed as a Z-score (standard deviations from the regression midline). Candles far above the midline (overbought extension) are tinted bear-color; candles far below (oversold extension) are tinted bull-color. This provides immediate visual context for where price stands within its current regression structure.
Features
Dynamic regression window: Optimal window selected each bar from pivot anchor scan
R² quality gate: Configurable minimum R² prevents low-fit windows from being used
Entropy-adjusted bands: Band width scales with Shannon entropy of log returns
Multi-factor signal gate: Six independently configurable confluence conditions
Forward projection: Channel extended beyond right edge with target label
Z-score candle coloring: Candles painted by standard deviation position in channel
Inner and outer bands (±1σ, ±2σ): Gradient-filled channel layers
Glow-effect midline: Double-drawn center line with transparency for depth
10-row dashboard: R², entropy, Z-score, duration, HTF alignment, ADX, RSI, signal state
JSON webhook alerts: Alert messages formatted as JSON with EP, TP, SL, and R²
Input Parameters
Regression Engine:
Pivot Scan Horizon: Number of pivots to evaluate as regression anchors (default: 20)
Pivot Sensitivity: Left/right bars for pivot confirmation (default: 5)
Min R² Quality Gate: Minimum fit quality to use a window (default: 0.50)
Band Multiplier 1/2: Inner and outer band standard deviation multiples (default: 1.0, 2.0)
Entropy System:
Entropy Lookback: Bars for entropy calculation (default: 20)
Entropy Bins: Histogram bins for return distribution (default: 10)
Low Entropy Threshold: Threshold below which market is classified as orderly (default: 2.5)
How to Use This Indicator
Step 1: Read the Slope Bias
Check the dashboard's Slope Bias row. BULLISH or BEARISH indicates the current regression direction. This is the primary directional input.
Step 2: Check Entropy State
LOW (orderly) entropy is the condition under which signals are most reliable. HIGH entropy warns that the regression model is operating in a chaotic environment.
Step 3: Wait for Signal Labels
LONG and SHORT labels appear only when the full confluence gate is satisfied. Each label shows entry price, TP1, TP2, stop loss, and R² quality.
Indicator Limitations
Regression channels repaint historically when the optimal window shifts to a new anchor; use the confirmed-bar signals for non-repainting entry logic
In markets with very few pivots, the scan horizon may find suboptimal windows with low R²
Shannon entropy requires sufficient lookback to produce stable estimates
Originality Statement
The dynamic pivot-anchored regression window search using R² × log(N) scoring, combined with Shannon entropy-modulated band width and a six-condition confluence signal gate, is the original analytical architecture of this publication. No existing published Pine Script regression channel indicator implements adaptive window selection from pivot anchors with entropy modulation in this manner.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Regression channels are mathematical models of past price behavior and do not predict future price. Trading involves substantial risk of loss.
-Made with passion by jackofalltrades
Indicator
Dual Profile Structure Map [JOAT]Dual Profile Structure Map
Introduction
Dual Profile Structure Map is an open-source session volume profile indicator that computes Point of Control, Value Area High, Value Area Low, and Initial Balance levels for the current session and displays them as a horizontal histogram overlaid on price. Unlike fixed-range or visible-range profiles, this indicator uses time-based session segmentation — the profile represents only the bars within the current trading day, updating continuously as each bar closes.
The profile answers a specific question: where was the majority of trading activity concentrated in the current session, and what are the structural reference levels that follow from that activity? The Initial Balance (the range of the first hour of the session) provides context for whether subsequent price behavior is an extension or a rejection.
Core Concepts
1. Volume Profile Calculation
Price range is divided into configurable bins. Each bar's volume is allocated to the bins that overlap its high-low range, proportionally by the fraction of the bar that falls within each bin. The result is an array of volume-at-price values for the session:
for b = 0 to nBins - 1
float binLo = profileLow + b * binSize
float binHi = binLo + binSize
float overlap = math.min(high, binHi) - math.max(low, binLo)
if overlap > 0
vol_at_bin += volume * (overlap / (high - low))
2. Point of Control and Value Area
The Point of Control (POC) is the bin with the highest volume — the price level where the most trading occurred. The Value Area is computed using the standard 70% rule: starting from the POC, adjacent bins are added to the value area (choosing the higher-volume adjacent bin each time) until 70% of session volume is captured. The resulting Value Area High (VAH) and Value Area Low (VAL) define the range where value was accepted.
3. Initial Balance
The Initial Balance uses the high and low of the first configurable number of bars after session open (default: first 4 bars on a 15-minute chart = first hour). IB High and IB Low are drawn as horizontal lines across the chart. Price trading above IB High is bullish extension; below IB Low is bearish extension; inside the IB is balance.
4. Histogram Rendering
Volume bins are rendered as horizontal bars extending leftward from the right edge of the session. Bar width is proportional to relative volume. The POC bin uses a distinct color. Value area bins use a softer fill. Bins outside the value area use the dimmest fill. This creates the standard volume profile "bell curve" visualization.
Features
Session volume profile: Real-time per-session histogram updated bar by bar
Point of Control (POC): Highest-volume price bin with labeled line
Value Area (VAH/VAL): 70% volume concentration band with boundary lines
Initial Balance High/Low: First-session-period range with horizontal level lines
Configurable bin count: Controls granularity of the volume distribution
Session reset logic: Profile resets at each new session boundary
Candle coloring: Candles painted by position relative to POC and value area
Dashboard: Current POC, VAH, VAL, IB range, and session volume total
Input Parameters
Profile Configuration:
Number of Bins: Price level granularity for the profile (default: 24)
IB Bars: Number of bars defining the Initial Balance period (default: 4)
Session Type: Trading session boundary for profile reset
Display:
Histogram Width: Maximum bar width in chart bars (default: 30)
Show POC Line toggle
Show Value Area toggle
Show Initial Balance toggle
Show Candle Color toggle
How to Use This Indicator
Step 1: Identify the POC
The POC is the fair value anchor for the session. Price gravitating toward the POC during a pullback indicates healthy trend behavior. Price unable to hold above or below the POC suggests indecision at current levels.
Step 2: Use Value Area for Range Context
Value area acceptance means price is spending time within the 70% volume zone — a range-bound state. Value area rejection (price rapidly leaving VAH or VAL and not returning) indicates directional conviction.
Step 3: Trade Initial Balance Extensions
A close above IB High with follow-through is a bullish extension signal. A close below IB Low is bearish. Range expansion beyond the IB indicates participants accepting new value outside the opening equilibrium.
Step 4: Watch POC as Support or Resistance
On future pullbacks, the prior session's POC often acts as structural support or resistance. The indicator's persistent level lines provide these reference points across sessions.
Indicator Limitations
Volume profile interpretation requires practice; mechanical rules based on profile levels without context produce poor results
On instruments with irregular volume distribution (low-liquidity sessions, gaps), profiles may cluster into unrepresentative patterns
The 70% value area rule is a convention from Market Profile theory, not a mathematically proven optimal threshold
Originality Statement
The combination of a real-time session volume profile with Initial Balance tracking, candle coloring by value area position, and a live-updating dashboard in a single Pine Script v6 publication provides a self-contained session structure tool. The session-adaptive profile calculation using proportional volume allocation across bins is implemented from first principles, not adapted from another published script.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Volume profile levels are historical references and do not guarantee future price reactions. Trading involves substantial risk of loss.
-Made with passion by jackofalltrades
Indicator
Hourly Inflection Levels/ pivot pointsThis indicator finds the price levels where the hourly chart has repeatedly turned, and draws them as support/resistance zones — regardless of what timeframe your chart is on. It pulls 1-hour data via request.security, so the same zones appear whether you're viewing a 5-minute, 1-hour, or 4-hour chart.
How it works
1. Pivot detection. On the hourly series it locates two kinds of turning points:
Wick pivots — pivot highs/lows based on candle high/low (where price actually reached).
Body pivots — pivot highs/lows based on max(open, close) / min(open, close) (where price closed the swing).
2. Intensity filter. Each pivot is scored by how far price travelled inside its pivot window (the displacement between the pivot and the opposite extreme). Weak, shallow pivots are discarded via the Min Inflection Intensity threshold, so only meaningful inflections survive.
3. Cross-type merging into zones. Every qualified pivot — wick or body, high or low — is pooled together, sorted by price, and merged: any pivots within the Merge / Zone Tolerance of each other collapse into a single zone. The zone's boundaries become the highest and lowest merged price; each merge adds one to the zone's touch count, and the zone keeps the strongest intensity of its members.
4. Display. Zones that have been touched at least Min Touch Count times are drawn as boxes, optionally extended to the right, with a label showing the level's mid-price, touch count, and intensity %. Levels touched fewer times are hidden.
Inputs
Lookback Period — how many days of hourly history to scan (rolling window; old levels are pruned automatically).
Pivot Left/Right Bars — sensitivity of pivot detection.
Min Touch Count — how many pivots must fall in a zone for it to be shown.
Min Inflection Intensity — minimum swing strength for a pivot to count.
Merge / Zone Tolerance — how close pivots must be to merge into one zone.
Wick / Body toggles — choose which pivot types feed the zones.
Display — extend zones right, show labels, zone color, border width.
Reading the zones
A zone with a high touch count and high intensity marks a price area the market has reacted to strongly and repeatedly over the past month — prime candidates for support, resistance, and reaction levels.
Note: Zones are confluence levels built from past hourly pivots, not signals. They don't repaint historically (pivots are confirmed), but the active set updates as new hourly bars form and old ones age out of the lookback window. Indicator
Pivot Range (CPR) with Next-Day Prediction📌 Pivot Range (CPR) with Next-Day Prediction
This indicator plots the Central Pivot Range (CPR) based on Mark Fisher's Pivot Range methodology, with a key enhancement — it previews tomorrow's CPR as soon as the current trading session ends, so you don't have to wait for the next day's first candle.
How it works:
- During market hours: Displays today's CPR (Pivot, BC, TC) calculated from the previous day's High, Low, and Close.
- On the last candle of the session: Automatically switches to show tomorrow's CPR using the current day's completed HLC data.
What is CPR?
The Central Pivot Range consists of three levels:
- Pivot (P) = (High + Low + Close) / 3
- Bottom Central (BC) = (High + Low) / 2
- Top Central (TC) = (Pivot − BC) + Pivot
CPR helps identify key support/resistance zones, trend direction, and potential breakout/reversal areas for the upcoming session.
Features:
✅ Next-day CPR prediction right at session close — no waiting until market open
✅ Toggle daily pivots on/off via settings
✅ Works on any intraday timeframe (1m, 5m, 15m, 1H, etc.)
✅ Works on any market/exchange — session detection is automatic
✅ Pine Script v6
Best used on: Intraday timeframes for day trading and swing trading setups. Indicator
Time Acceptance Profile TPO LevelsTIME ACCEPTANCE PROFILE — TPO-STYLE LEVELS THAT WORK WITHOUT VOLUME
Volume profile tools fail on index spot charts — NIFTY, BANKNIFTY and SENSEX spot have no volume data at all. This indicator solves that by profiling TIME instead of volume: it counts how many bars touched each price bin during the session. Where price spent the most time is where the market found acceptance — and those levels act as the day's strongest reference points.
WHAT IT PLOTS
- Time POC — the price row with the highest time count today (gold line)
- Value Area (VAH / VAL) — the price band containing ~70% of today's time, expanded outward from the POC (teal box)
- Time Histogram — the full time-at-price distribution drawn to the right of price, POC row highlighted
- Prior-Day POC / VAH / VAL — yesterday's completed levels, frozen at the day close and extended across today (dashed)
HOW IT WORKS
1. The day's range is divided into N price bins (default 24)
2. Every bar adds one time-unit to each bin its high-low range touched
3. The bin with the maximum count = Time POC
4. The Value Area expands outward from the POC, adding the larger neighbouring bin until 70% of total time is covered
5. At the session change, the completed profile is frozen into prior-day levels — these never repaint
HOW TRADERS USE IT
- Prior-day POC acts as a magnet/pivot — rejections and reclaims there are high-information events
- Open outside yesterday's Value Area = imbalance day; watch for continuation away from value or a rotation back to Y-POC
- Open inside the Value Area = balance day; VAH/VAL rotation setups become relevant
- Thin rows in the histogram (low time) mark prices the market rejected — price tends to move quickly through them
NOTES
- Designed for intraday timeframes; shows a warning otherwise
- Today's POC and Value Area update as the session develops (by design); prior-day levels are fixed and never repaint
- Alerts are available on prior-day POC / VAH / VAL crosses — static levels only, alert-safe
- Price labels round to integers by default (toggle off for low-priced symbols)
- No volume data is used anywhere — works identically on spot indices, futures, stocks and crypto
This is an original implementation in Pine Script v6. The time-binning, POC selection and value-area expansion logic are fully described above.
Educational tool for market context — not financial advice. Indicator
Market Regime RSI MatrixMarket Regime RSI Matrix (MRM)
Market Regime RSI Matrix (MRM) is a multi-timeframe momentum and market context framework designed to transform traditional RSI analysis into a broader market regime model.
Rather than relying on a single RSI reading from the active chart timeframe, this indicator combines RSI measurements from multiple independent timeframes into a weighted composite engine called the Master RSI. It then evaluates the degree of agreement between those timeframes, estimates the persistence of the current market condition, classifies the prevailing market regime, and visualizes these relationships through adaptive momentum zones and dashboard components.
The objective of this script is not to generate isolated buy or sell signals, but to provide a structured view of how momentum is distributed throughout the market across multiple horizons.
📊 How It Works
The indicator is built around a hierarchical momentum framework composed of several interconnected modules.
Multi-Timeframe Master RSI Engine
At the core of the indicator is the Master RSI, a composite momentum value constructed from up to ten independent RSI calculations.
Each timeframe can be individually selected and assigned its own weight.
The composite value is calculated as:
Master RSI =
Σ(RSI × Weight) / Σ(Weight)
This allows shorter-term traders to emphasize lower timeframes, while swing traders can prioritize higher timeframe momentum.
Unlike traditional RSI implementations, the resulting Master RSI represents the collective behavior of multiple market participants operating on different time horizons.
🤝 Consensus Engine
Momentum strength alone does not necessarily imply broad market participation.
To address this, the script measures how many monitored timeframes agree on directional bias.
Each timeframe contributes to a bullish or bearish count according to whether its RSI is above or below the equilibrium level:
Bullish TF:
RSI ≥ 50
Bearish TF:
RSI < 50
Consensus is then calculated as:
Consensus Score =
|Bull TF − Bear TF| / Total TF × 100
Higher values indicate stronger alignment among market participants.
For example:
Consensus = 90%
9 timeframes bullish
1 timeframe bearish
suggests broad agreement across the monitored horizons.
Lower values indicate disagreement and fragmented market participation.
📈 Trend Strength Module
The indicator estimates momentum persistence by smoothing the Master RSI through two exponential moving averages:
Fast Trend EMA = EMA(Master RSI, 5)
Slow Trend EMA = EMA(Master RSI, 13)
The distance between these two curves provides an estimate of directional intensity.
Trend conditions are classified into:
• Weak
• Moderate
• Strong
• Very Strong
This framework helps distinguish between stable trends and environments where momentum lacks conviction.
🎯 Probability Engine
The Probability Engine combines several independent components into a unified score designed to estimate the persistence of the current market condition.
Inputs include:
• Consensus alignment
• Trend strength
• Master RSI positioning
• Dynamic Fibonacci context
The model aggregates these components using weighted contributions:
Probability Score =
Consensus × 40%
+ Trend Strength × 30%
+ Fibonacci Context × 20%
+ RSI Position × 10%
The resulting value is expressed as a percentage.
Higher scores indicate that the current market condition exhibits stronger internal agreement within the framework.
The Probability Score is intended as contextual information and should not be interpreted as a prediction of future price movement.
📐 Adaptive Fibonacci Momentum Zones
Instead of relying on fixed RSI thresholds such as 30 and 70, the script constructs dynamic Fibonacci zones using the observed Master RSI range.
The calculation window automatically adapts to the chart timeframe through the Adaptive Lookback Engine.
Typical lookback behavior:
Lower timeframes:
Longer observation windows
Higher timeframes:
Shorter observation windows
Standard Fibonacci ratios are then projected throughout the observed Master RSI range:
0.000
0.236
0.382
0.500
0.618
0.786
1.000
These zones serve as contextual momentum regions rather than predictive targets.
The indicator additionally estimates the corresponding price levels associated with each momentum zone, allowing users to compare momentum structure with actual price location.
🌡️ Multi-Timeframe RSI Heatmap
To improve readability, the script provides a visual heatmap displaying RSI values from every monitored timeframe.
Each row represents one timeframe and its current RSI value.
Color intensity reflects the relative position of the RSI within its momentum range, allowing users to quickly identify:
• Broad directional alignment
• Divergence between short-term and long-term momentum
• Emerging transitions in participation
The heatmap is intended to complement the Consensus Engine by providing a more granular view of internal market structure.
🧭 Market State Engine
One of the defining components of the framework is the Market State Engine.
Rather than describing conditions simply as bullish or bearish, the indicator classifies the market into five distinct regimes:
Bull Trend
Occurs when:
• Consensus is elevated
• Trend strength is positive
• Probability is high
• Master RSI maintains strong momentum
This environment suggests broad participation and directional persistence.
Bear Trend
Occurs when:
• Consensus is elevated
• Trend strength is negative
• Probability is high
• Master RSI reflects persistent downside momentum
This environment suggests coordinated selling pressure across timeframes.
Accumulation
Occurs when:
• Consensus is limited
• Probability remains subdued
• Master RSI operates below equilibrium
This condition may represent balance-building phases where directional conviction has not yet emerged.
Distribution
Occurs when:
• Consensus remains weak
• Probability remains subdued
• Master RSI operates above equilibrium
This condition may indicate loss of participation following sustained advances.
Transition
Any market environment not satisfying the criteria above is classified as Transition.
These phases often occur during regime changes, trend exhaustion, or evolving participation dynamics.
⚙️ Customization Options
Users can configure:
• Up to ten independent RSI timeframes
• Individual timeframe weights
• RSI calculation length
• Signal smoothing length
• Adaptive or manual Fibonacci lookback
• Fibonacci visualization settings
• Heatmap visibility
• Dashboard display preferences
This flexibility allows the framework to adapt to different asset classes, trading styles, and analytical objectives.
📖 How To Use
Possible applications include:
Use Consensus as a directional filter.
Higher Consensus values suggest broader market agreement.
Monitor Probability before acting on directional setups.
Increasing Probability may indicate strengthening market conditions.
Use Market State to identify the dominant regime.
Trend environments and transitional environments often require different decision-making approaches.
Observe the Heatmap for internal divergence.
Conflicting lower and higher timeframe momentum may signal weakening participation.
Use Fibonacci Momentum Zones as contextual reference areas.
These regions are intended to frame momentum behavior rather than provide precise price targets.
The indicator is designed to complement existing analytical processes and may be combined with price action, market structure, volume analysis, or individual risk management techniques.
💡 Originality
This script represents an original framework that integrates weighted multi-timeframe momentum aggregation, participation consensus measurement, adaptive momentum zoning, probability modeling, and market regime classification into a unified analytical dashboard.
Its primary innovation lies in treating RSI not as an isolated oscillator, but as a distributed representation of market participation across multiple horizons.
The combination of:
• Weighted Master RSI construction,
• Consensus-based participation analysis,
• Adaptive Fibonacci momentum zones,
• Composite probability estimation,
• Multi-timeframe heatmap visualization,
• and Market State classification,
forms a cohesive framework designed to improve contextual awareness rather than generate deterministic trading signals.
This complete implementation was developed as an integrated analytical model and is not derived from any previously published PulseWire script.
⚠️ Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument.
All calculations are derived from historical market data and mathematical transformations of price behavior. Technical analysis is inherently uncertain, and past performance does not guarantee future results.
Users should conduct their own research and apply appropriate risk management before making trading decisions. Indicator
Multi-TF Overlapping FVGThis indicator automatically detects Fair Value Gaps (FVGs) across multiple timeframes and identifies high‑confluence overlap zones known as clusters. These clusters highlight areas of institutional imbalance where price often reacts with precision. The tool continuously tracks FVGs from 1m, 5m, 10m, 15m, 30m, and 60m charts, dynamically forming and updating clusters as new gaps appear or become mitigated.
Key Features
Multi‑Timeframe FVG Detection
Scans up to six timeframes for bullish and bearish FVGs in real time.
Cluster Formation Logic
Builds a cluster when a 1‑minute FVG aligns with enough higher‑timeframe gaps, creating a strong confluence zone.
Dynamic Filtering System
Allows filtering clusters by time decay, price proximity, ATR‑based distance, or edge‑proximity wake‑up logic.
Mitigation Tracking
Monitors each FVG for partial or full mitigation using wick or close logic. Clusters update or expire automatically.
Exclusivity and Consumption Options
Controls whether higher‑timeframe FVGs can be reused by multiple 1m seeds or permanently consumed.
Adaptive Rendering
Boxes extend dynamically, labels update automatically, and clusters remain visible briefly after mitigation for clarity.
Debug Panel
Displays real‑time counts of FVGs per timeframe and active clusters for verification and troubleshooting.
How to Use This Indicator
Identify High‑Probability Zones
Clusters represent areas where multiple timeframes agree on imbalance, often acting as strong support, resistance, or liquidity targets.
Monitor Mitigation Behavior
Observe how price interacts with cluster edges. Partial fills, full fills, and rejections can signal continuation or reversal.
Integrate With Your Strategy
Use clusters as entry zones, take‑profit targets, stop‑loss buffers, or directional confirmation.
Adjust Filters to Match Your Style
Scalpers may prefer tighter ATR filters and shorter time windows, while swing traders may widen the range to capture larger structures.
Who This Indicator Is For
Traders seeking automated multi‑timeframe FVG detection
Those who want high‑confluence imbalance zones without manual charting
Traders using institutional concepts such as imbalance, mitigation, and liquidity
Anyone wanting a clean, dynamic, and customizable FVG clustering tool Indicator
ORB Retest Pro v3 + Smart ZonesORB Retest Pro v3 + Smart Zones is a customizable Opening Range Breakout indicator built for traders who want clean ORB structure, retest-based entries, and real-time smart money confluence on the chart.
The indicator maps the Opening Range High, Low, Mid, and ORB box, then waits for price to break the range and retest it before printing a signal. This helps filter out weaker breakout candles and focuses on more structured continuation setups.
In addition to ORB logic, the script detects and displays real-time Fair Value Gaps (FVGs), Inversion Fair Value Gaps (IFVGs), Order Blocks (OBs), and Breaker Blocks using customizable zone boxes. Zones can be shown or hidden individually, colors can be fully customized, and broken zones can automatically remove themselves from the chart to keep the layout clean.
A key feature of this indicator is its smart zone behavior. When enabled, broken FVGs can automatically convert into IFVGs, allowing the chart to reflect changing market structure instead of leaving outdated zones on screen. You can also keep zones from previous sessions visible and control the number of days to look back, making it useful for both intraday and multi-session analysis.
The indicator is designed to work well on futures and stocks, with adjustable session times, timezone settings, and an optional timeframe filter so the ORB can be tailored to different markets and trading styles.
Features
Custom Opening Range session
Adjustable timezone
ORB high, low, mid, and box
Break + retest signal logic
Optional reclaim / rejection close confirmation
ATR displacement filter
Minimum breakout distance in ticks
Retest must occur within a user-defined number of bars
One signal per side per day or one total signal per day
Real-time FVG, IFVG, OB, and Breaker detection
Fully customizable zone colors and visibility
Optional automatic removal of broken zones
Optional FVG to IFVG conversion
Ability to keep previous-day zones on the chart
Adjustable lookback period
Confluence-based signal coloring
Built-in alerts
Best use
This indicator is best used on intraday charts such as 1m, 3m, 5m, and 15m, especially for traders who want to combine Opening Range Breakout structure with smart money zone confluence.
Notes
FVG, IFVG, Order Block, and Breaker logic are rule-based and designed for consistent automation inside Pine Script. They may not match every discretionary interpretation exactly, but they provide a structured and practical framework for real-time chart analysis.
Indicator
S/R & Liquidity ProOverview
DT S/R & Liquidity Pro is a clean, multi-layer Support and Resistance toolkit that maps three distinct sources of structural memory onto a single chart: pivot-based liquidity zones, daily session anchors, and psychological round numbers. Each layer is independently toggleable, all lines extend right of the last bar, and nothing repaints.
How It Works
Layer 1 — Pivot Liquidity S/R
The indicator scans historical bars for confirmed swing highs and swing lows using a configurable lookback window. Each confirmed pivot is treated as a liquidity zone — a price where a meaningful number of participants were previously stopped out, filled, or reversed. These levels tend to act as magnets on subsequent approaches because trapped positions and pending orders cluster there.
Only the most recent N levels are kept on chart (adjustable input labeled Max Historical Levels), which prevents the chart from becoming a graveyard of every pivot ever made. Lines are color-coded: resistance in red, support in green by default.
What makes a pivot significant: the lookback (Pivot Strength) sets how many bars must form on each side of the high or low before it is confirmed. Higher values = fewer, higher-quality levels. Lower values = more granular intraday structure.
Layer 2 — Session Anchor Levels
Three automatic levels anchor each trading day:
Daily Open — Algos and institutional order flow are benchmarked against this level throughout the day. Reclaims and rejections at the daily open are among the most repeatable intraday setups.
Previous Day High (PDH) — A magnet for liquidity sweeps and breakout/breakdown setups, particularly in the first 90 minutes of the session.
Previous Day Low (PDL) — One of the most watched levels by professional desk traders and algorithms.
These levels update automatically at each new session. No manual input required.
Layer 3 — Psychological Round Numbers
Optional grid of horizontal levels spaced at a user-defined interval (default: every $10). Round numbers attract options strike clustering, retail stop placement, and institutional limit orders. Useful as a secondary confirmation layer, not a primary setup trigger.
Painted as faint dotted lines to minimize visual weight while remaining visible when warranted.
Recommended Inputs by Trading Style:
Scalping / Active Day Trading (1m – 15m chart)
Pivot Strength (Lookback): 5 – 7 — Captures granular intraday swing points; lower bars confirm faster
Max Historical Levels: 4 – 5 — More nearby levels needed for tight intraday decision-making
Show Session Levels: On — Daily Open is a primary intraday reference — essential
Show Previous Day H/L: On — PDH/PDL sweeps are bread-and-butter scalp setups
Show Round Numbers: Optional — Enable on high-priced instruments (e.g., SPX, TSLA) where $5–$10 intervals cluster options strikes
Round Number Step: 5.0 – 10.0 — Match to the instrument's typical daily range
Swing Trading (1H – Daily chart)
Pivot Strength (Lookback): 15 – 25 — Filters intraday noise; only confirms swing-level structural highs/lows
Max Historical Levels: 2 – 3 — On higher timeframes, only the most recent major levels matter
Show Session Levels: Optional — Daily Open is less relevant on a weekly hold; PDH/PDL retain value as weekly structure markers
Show Previous Day H/L: On — Still useful; overnight gaps into PDH/PDL are structural events on swing timeframes
Show Round Numbers: On — Psychological levels matter more over multi-day holds as price cycles through them repeatedly
Round Number Step: 10.0 – 25.0 — Larger intervals appropriate for instruments moving $10–$50 per week Indicator
