2nd Day Stock Scanner2ND DAY STOCK SCANNER
A Pine Screener-ready indicator that flags stocks having an "in play" session — the kind of session that sets up a classic 2nd Day Play. Run it across a watchlist or the broader market to build a daily list of names worth watching for continuation the next session.
THE 2ND DAY PLAY CONCEPT
A stock becomes "in play" when a catalyst — earnings, guidance, an FDA decision, an upgrade/downgrade, a contract win, a short squeeze, breaking news — pulls in enough participants that the stock trades with unusual size and unusual range for a full session. That session (Day 1) prints levels — the high and the low — that carry real weight, because so many market participants transacted around them.
On the next session (Day 2), those Day 1 levels often become the reference points for continuation: a break above Day 1's high can trigger fresh buying from traders who missed the move or are adding to winners; a break below Day 1's low can do the same on the short side. This is the "2nd Day Play" — trading the follow-through, using yesterday's range as the map.
This indicator's job is to find Day 1: the session that qualifies as genuinely "in play," so you know which names to build a Day 2 plan around.
WHAT IT FLAGS
A session qualifies as a match when ALL of the following are true on that bar (daily timeframe):
1. Outsized move — the close is up or down at least a configurable % (default 3%) versus the prior day's close.
2. Strong directional close — the close falls within the top or bottom 20% (configurable) of the day's own high-low range. An up day closing near its high, or a down day closing near its low, signals conviction rather than a fade.
3. Elevated relative volume (RVOL) — volume exceeds a configurable % of the average volume over the prior N days (default: 100% of a 50-day average, i.e. above-normal turnover).
4. Volatility expansion — the day's true range exceeds the recent Average True Range (default 14-period), meaning the stock moved more than its own normal volatility would suggest.
By default the script also requires the move direction, close location, and volume/volatility expansion to all point the same way (an up move that closes strong = bullish match; a down move that closes weak = bearish match). This directional-alignment requirement can be turned off in settings if you want looser matching.
READING THE OUTPUT
- Scan Match (0/1): the combined signal; this is the one to filter on for a general watchlist.
- Bullish Match / Bearish Match (0/1): directional versions, useful for building separate long and short watchlists.
- Pct Change, Range Position %, RVOL %, Range minus ATR: the underlying metrics, useful for sorting and sanity-checking why a name matched.
- On a chart: a green/red background tint, a triangle marker, and a small "2D up / 2D down" label mark matching sessions; an info table in the corner shows live values for the current bar.
- Alerts: "Bullish 2nd Day Scan," "Bearish 2nd Day Scan," and "Any 2nd Day Scan Match" fire on chart instances of the script (Pine Screener itself does not push alerts — see setup notes below).
SETTINGS
- Min |% change| — default 3% — minimum move vs. prior close
- Top/Bottom % of range — default 20% — how close to the high/low the close must be
- Min RVOL % — default 100% — volume vs. average volume threshold
- Avg volume lookback — default 50 bars — window for the volume average
- ATR length — default 14 — window for the volatility baseline
- Require direction match — default on — whether move direction must match close location
WHEN IT'S MOST VALUABLE
This indicator is a filter, not a trade signal. It's most useful run at or after the close (or scanned intraday for names already meeting the criteria in real time) to surface candidates that just had a genuine catalyst day — the kind of session worth carrying onto tomorrow's watchlist. It's less useful, and can produce false positives, on thinly traded or low-priced names where volume and range statistics are naturally erratic, or around known binary events (earnings, FDA dates) where a gap can satisfy the range/volume criteria without real intraday conviction. Always confirm a match against the news/catalyst driving the move, and build your own Day 2 execution plan (breakout, pullback, opening-range tactics) around the flagged levels — the scanner finds the candidates, it doesn't time the entry.
SETTING UP THE PINE SCREENER
1. In PulseWire, open Pine Screener (left toolbar, or Products > Screeners > Pine Screener).
2. Pick your universe from the Watchlist dropdown — a saved watchlist, or one of PulseWire's broader market lists.
3. Load this script from the script-select dropdown next to the watchlist selector.
4. Click the script's name/settings icon to open its Settings dialog inside the Screener. This is a separate instance from any chart — inputs you change on a chart do not carry over, and vice versa. Set your thresholds here and click Apply.
5. Use the + button to add the columns you want visible: Scan Match, Bullish Match, Bearish Match, Pct Change, Range Position %, RVOL %, Range minus ATR.
6. Click on the Scan Match column pill and set a filter, e.g. "Greater than 0.5" (since the output is 0 or 1, this isolates matches). Use Bullish Match / Bearish Match instead if you want a directional-only list.
7. Click Scan. Sort by any column to review results, and use the unfiltered metric columns to see why each name matched.
8. For live, per-symbol alerts during the session, add the script to that symbol's chart individually and create an alert from one of its three alert conditions — the Screener is a point-in-time scan, not a persistent alert engine.
DISCLAIMER
For informational and educational purposes only — not financial advice. This scanner identifies stocks meeting a set of historical price/volume conditions; it does not predict future performance. Always do your own research and manage your own risk. Indicator
FVG Profiles [TradingIQ]Hello Traders!
🔹 FVG Profiles
FVG Profiles is a fair value gap analysis tool designed to go beyond simply drawing FVG boxes on the chart.
Instead of treating every fair value gap the same, this indicator evaluates each FVG using:
gap size
volume behind the gap
time-of-day context
remaining unfilled volume
active FVG clustering
bullish vs bearish FVG dominance
master histogram structure
local maxima gap zones
It focuses on answering a deeper question:
Where are the most important active imbalance zones on the chart?
And more importantly:
Which gaps still have meaningful volume left behind them?
🔹 What the indicator shows
🔸 Bullish & Bearish Fair Value Gaps
The indicator detects both bullish and bearish fair value gaps directly on the chart.
A bullish FVG is detected when price leaves an upside imbalance.
A bearish FVG is detected when price leaves a downside imbalance.
These gaps are then tracked as active zones until they are mitigated, expired, or fully consumed by later price action.
This allows you to see:
where bullish imbalances formed
where bearish imbalances formed
which FVGs are still active
which FVGs have been partially filled
which FVGs have been fully mitigated
🔸 Time-of-Day Filtering
One of the most important parts of this indicator is that it does not only ask:
“Did a fair value gap form?”
It also asks:
“Was this fair value gap meaningful compared to what normally happens at this time of day?”
The script tracks rolling time-of-day statistics for both:
volume
gap height
This helps compare the current FVG against historical activity from the same time of day.
The goal is to avoid treating normal market noise the same as statistically meaningful imbalance.
🔸 Gap Strictness & Volume Strictness
The indicator includes strictness filters for both gap size and volume.
These filters use z-score style thresholds to determine whether a new FVG is significant enough to display.
Available strictness levels include:
None
Low
Medium
High
Extreme
Higher strictness means fewer gaps will qualify.
Lower strictness means more gaps will be shown.
This allows you to choose whether you want a broader view of market imbalance or only the most statistically significant FVGs.
🔸 Remaining FVG Volume
Each detected FVG begins with an initial volume value.
As future candles trade back into the FVG zone, the script estimates how much of that gap volume has been consumed.
This allows each FVG to behave more like a living zone instead of a static box.
The indicator tracks:
initial FVG volume
remaining FVG volume
partial mitigation
full mitigation
bullish remaining volume
bearish remaining volume
As price overlaps the FVG, the remaining volume is reduced proportionally.
This helps show whether a gap is still meaningful or whether it has already been mostly consumed.
🔸 FVG Box Visualization
Active fair value gaps are displayed directly on the chart.
The FVG boxes update as the gap is mitigated.
When volume remains inside the zone, the box continues to show the active imbalance area.
When the FVG is fully mitigated or expires, it is removed from the chart.
Optional volume text can also be displayed inside the FVG box.
This helps you quickly see:
how much volume remains in the gap
which gaps are still active
which zones are being consumed
where price is interacting with imbalance
🔸 Master FVG Histogram
The Master Histogram is the main profile-style visualization.
Instead of only looking at individual FVGs, the indicator aggregates all active FVG zones into a single histogram.
This histogram shows where active bullish and bearish FVG volume is clustered across price.
It helps answer:
Where is active imbalance volume concentrated right now?
The histogram is drawn to the right of price and can be customized with:
number of bins
histogram offset
maximum width
KDE smoothing bandwidth
transparency
bullish colors
bearish colors
🔸 Bullish vs Bearish FVG Dominance
The Master Histogram separates bullish and bearish FVG volume.
Each price bin is colored based on whether bullish or bearish FVG volume is dominant at that level.
This allows you to quickly identify:
bullish imbalance clusters
bearish imbalance clusters
zones where one side dominates
areas where active FVG volume is concentrated
Instead of asking only:
“Where is the nearest fair value gap?”
you can ask:
“Where are active FVGs clustering across the chart?”
🔸 KDE Smoothing
The histogram includes optional smoothing using an Epanechnikov Kernel Density Estimation model.
This helps reduce noisy, blocky histogram behavior and creates a smoother profile of active FVG concentration.
Higher bandwidth creates a smoother histogram.
Lower bandwidth keeps the histogram closer to the raw FVG volume distribution.
This is useful when you want the histogram to behave more like a profile instead of a fragmented set of isolated bins.
🔸 Gap Zones / Local Maxima
The indicator can also detect local maxima inside the Master Histogram.
These are price areas where active FVG volume is locally concentrated compared to nearby bins.
When enabled, the indicator projects these levels left across the chart as Gap Zone lines.
This helps highlight:
major active imbalance clusters
high-concentration FVG zones
potential reaction areas
levels where multiple active gaps may overlap
The Gap Zone Percentile setting controls how selective these lines are.
A higher percentile shows fewer, more significant zones.
A lower percentile shows more potential gap zones.
🔹 How to read it
Each FVG box represents an active imbalance.
The Master Histogram shows where active FVG volume is concentrated across all currently tracked gaps.
The Gap Zone lines highlight local peaks in the active FVG volume profile.
Together, these views help shift your thinking from:
“There is a fair value gap here.”
to:
“This is where active imbalance volume is still concentrated.”
🔹 Example interpretations
large bullish FVG + high remaining volume → active upside imbalance still present
bearish FVG cluster above price → potential overhead imbalance zone
histogram peak near current price → price is trading into concentrated active gap volume
gap zone line aligns with structure → possible high-interest reaction area
FVG box fading or disappearing → gap has been consumed, mitigated, or expired
many active gaps clustered together → imbalance zone may be more important than a single isolated FVG
🔹 Why this indicator is useful
FVG Profiles gives you a structured way to analyze fair value gaps as dynamic volume zones.
It helps you see:
which FVGs are still active
which gaps have meaningful volume behind them
where FVG volume is clustering
whether bullish or bearish imbalance dominates a zone
how price is consuming active gaps over time
where local maxima gap zones appear
Instead of only drawing static FVG boxes, this tool attempts to quantify and profile the active imbalance still remaining in the market.
🔹 Best use cases
tracking active fair value gaps
finding clustered imbalance zones
filtering out insignificant gaps
studying FVG mitigation
identifying potential reaction levels
combining FVG analysis with market structure
enhancing liquidity, imbalance, or price-action models
🔹 Inputs you can customize
Master Profile Bins
Histogram Right Offset
Histogram Max Width
KDE Smoothing Bandwidth
Max FVGs
Max FVG Age
Gap Strictness
Volume Strictness
Time-of-Day Memory Length
Show FVG Boxes
Show Master Histogram
Show Gap Zones
Gap Zone Percentile
Show FVG Volume Text
Master Alpha
bullish and bearish histogram colors
gap zone color
🔹 Important note
This script uses volume, gap size, and time-of-day statistics to evaluate fair value gaps.
This means:
FVG significance depends on the selected strictness settings
time-of-day averages depend on the available chart history
volume behavior can vary between symbols and sessions
the Master Histogram only represents currently active tracked FVGs
gap zones are analytical reference levels, not predictive signals
This indicator is not a trading system by itself.
It is a framework for analyzing where active fair value gap volume remains and how those imbalances cluster across price.
Closing Notes
FVG Profiles is built to turn fair value gaps from static boxes into a more complete imbalance profile.
It helps you see not only where gaps formed, but where active FVG volume still remains.
As always, thank you PulseWire! Indicator
GMS Session Rays (Sydney/Asia/London/NY)A lightweight Pine v6 indicator that plots the previous completed session’s High and Low for the four major sessions—Sydney, Asia, London, New York—so you always see the most actionable structure levels without chart clutter. Lines auto-update at the end of each session and extend right as horizontal rays. Labels are clean, stack automatically to avoid overlap, and can be placed on the left or right side of the chart.
What it shows
Previous session High/Low for each enabled session (not the current live session).
Right-extended rays at those prices, updated when the session closes.
Optional labels per session (e.g., “sydney high”, “london low”), with auto-stacking to prevent overlaps.
Customization
Per-session toggles: show/hide each session; show/hide labels per session.
Style controls: color, width, and line style (Solid/Dotted/Dashed) per session.
Label controls: global on/off, Left/Right placement, bars offset, Y-offset (in ticks), size (Tiny/Small/Normal), auto-stacking with adjustable step.
Session windows: editable HHMM-HHMM for Sydney/Asia/London/NY.
Timezone: set a single indicator timezone (default America/New_York).
Only Today mode: clears older rays daily to keep charts minimal.
How it works (under the hood)
Tracks High/Low only while a session is active; when it ends, those values are frozen and plotted as the previous session levels. Indicator
Strong COT Report Dashboard | ProjectSyndicateStrong COT Report Dashboard takes the CFTC Commitments of Traders Legacy report and turns it into a live, side-by-side positioning matrix for up to 12 futures markets at once. Every Tuesday's release refreshes the whole grid with Non‑Commercial (large speculator) and Commercial (hedger) positioning, three COT indices, flip%, weekly OI change, a derived bias state, a synthesized scenario/outlook narrative, and an N‑week Flip% heat strip — all rendered in a compact Bloomberg amber terminal. The whole tool runs on one idea: raw NC net contracts mean nothing on their own — but when you can see 26‑week, 52‑week and 156‑week COT indices next to each other, the direction of last week's change, where OI is going, and how flip% has moved across the last eight weeks, positioning tells you exactly which end of the curve every market is at.
This is a positioning matrix, not a signal generator. It tells you which markets are stretched, which are turning, which are building fresh trend, and which are stuck in the middle — for equities, metals, energies, crypto, the dollar, and optionally FX crosses, softs and VIX, all on one screen.
🟢🔴 Summary how to use this more details below, read entire guide. Two clean reads: fade the extreme, or ride the build. Prefer markets tagged TOP RISK / BOTTOM SETUP for the fade, and markets tagged Building Long / Building Short with an aligned 52w index and OI expansion for the trend. The Scenario / Outlook column and the Flip% heat strip tell you at a glance whether positioning is at an inflection point or grinding in a regime. Runs on Daily or Weekly chart only.
⚠️ CHART TIMEFRAME — Weekly COT data is only accumulated on Daily or Weekly charts. Load this on any intraday chart and it will halt with a runtime error. Use Daily as the default; Weekly compresses the same view and works too.
🧱 CFTC Legacy — the only source of truth — Every row is pulled from the official CFTC Commitments of Traders Legacy report via PulseWire's LibraryCOT, one release per week, Tuesday for the prior Tuesday's snapshot. You choose Futures Only or Futures and Options at the top of the settings. Nothing here is estimated, projected or derived from price — the whole grid is real reported contracts.
📐 24-Market Universe · 12 Active at a Time — Twelve markets ship enabled by default: ES · NQ · YM · RTY · NKD · GC · SI · HG · CL · NG · BTC · DX. Twelve more sit hidden and ready: 6E · 6J · 6B · 6A · 6C · 6S · ETH · PL · ZW · ZC · ZS · VX.
⚠️ HARD 12-MARKET CAP — PulseWire caps the number of external data requests a script can make, and this dashboard uses five requests per market (OI + NC longs + NC shorts + Com longs + Com shorts). Twelve markets is the ceiling — any market you toggle on beyond that limit is silently skipped in list order.
▪️ To swap in a hidden market: first DISABLE at least one of the 12 default markets (e.g. turn off NKD or DX), then ENABLE the hidden one you want (e.g. 6E Euro FX or ETH Ether).
▪️ If you toggle on a hidden symbol and it doesn't appear on the dashboard, you're over the 12-market cap — go back and switch off one of the defaults first.
▪️ The two groups in settings are just organizational — the cap applies across both groups combined.
BTC / NQ / GC snapshot
🏷️ The Column Set — Every market gets its own row. Left to right:
▪️ Market — ticker + full name.
▪️ NC Net — Non‑Commercial net position in contracts (longs − shorts). The core large-spec read.
▪️ ΔNet W — change in NC net vs the prior COT week. This is the momentum column.
▪️ L% / S% — NC longs and shorts as % of open interest. Concentration read.
▪️ Flip% — NC Long% − Short%. Positive = specs net long, negative = specs net short. The regime tag.
▪️ Ix26 / Ix52 / Ix3Y — COT stochastic indices of NC net over 26, 52 and 156 weeks. 0 = most short in the window, 100 = most long. Ix52 is the year-context read; Ix3Y is the cycle read.
▪️ Com Net / CIx52 (optional) — Commercial net and its 52-week index. Hedgers usually sit opposite the specs — when they don't, that's a signal.
▪️ ΔOI% — weekly open interest change. Rising OI + rising net = real build; falling OI + rising net = short-covering, not conviction.
▪️ Bias — one-word positioning state: TOP RISK, BOTTOM SETUP, Building Long, Building Short, or a neutral trend tag. Colored by conviction.
▪️ Scenario / Outlook — a synthesized read that fuses extremes, streaks, regime flips, OI mechanics and cycle divergence into one line. HOVER the cell for the full narrative.
◆ Flip% Heat Strip — the signature panel — Set the strip to N weeks (up to 12) and every row gains N extra cells — one per prior COT week — heat-mapped on an amber/red axis around zero. Positive flip% (specs net long) burns amber; negative (specs net short) burns red; intensity scales to the flip scale you set. Read left to right along a row and you see the last 2-3 months of positioning at a glance:
▪️ A row that goes red → red → red → dim → amber → amber has just flipped regime from net-short to net-long.
▪️ A row that stays deep amber for 8 weeks is a crowded long — the fade candidate.
▪️ A row of soft mixed colors is regime chop — leave it alone.
XAU / DX / SI snapshot
🔥 The Bias Engine — Every row is auto-graded into a positioning state:
▪️ TOP RISK — 52w NC index at an extreme high and specs crowded long. The fade candidate.
▪️ BOTTOM SETUP — 52w NC index at an extreme low and specs crowded short. The mean-reversion setup.
▪️ Building Long / Building Short — indices are trending in one direction with OI expansion. The ride-the-build read.
▪️ Neutral trend tags — for markets sitting mid-range without directional conviction.
TOP RISK burns red, BOTTOM SETUP burns amber-hot, builds burn steady amber, neutral goes dim. You are reading the state of every market with your peripheral vision before you read a single number.
📋 Bloomberg Amber Terminal — Pure black background, amber-gradient text, alternating row shading, monospaced font, thin dark-amber frame, muted header row. Numeric coloring is gradient-driven — COT indices burn hotter at extremes, signed values shift from amber to red as they turn negative, flip% cells run their own heat map. Weekly release dates render in a compact format so the whole grid stays scannable.
🔔 Native Alerts — Alert on 52w COT Index Extremes fires once per new COT week when any market's NC 52w index crosses into the ≥80 zone (spec long extreme) or ≤20 zone (spec short extreme). One alert covers every enabled market — you get a message with the ticker, the direction and the index level. Enable it once and the dashboard tells you when a positioning inflection has actually printed, not before.
ES / CL / RTY snapshot
🔧 Fully Customizable — 12+12 market toggles, Futures Only vs Futures and Options source, max weekly history stored, dashboard position/size, text size, top offset padding, Commercial columns on/off, Flip% heat strip length 0-12 and its scale, alert toggle, and the entire Bloomberg amber palette flows automatically from the theme — nothing to fight with.
🎯 Why this is different — Most COT tools give you one market on a subchart with a couple of moving averages, or a wall of numbers with no visual weighting. This one pulls 12 markets into a single grid, indexes each of them across three timescales, tags the state, writes an outlook line, and heat-strips the last 8-12 weeks of flip% into a row you can read horizontally. The chart itself does the filtering — you see instantly which two or three markets deserve deeper work this week.
🚀 Apply on a Daily or Weekly chart of any symbol — the dashboard is independent of the chart symbol, so load it on your favorite index or continuous futures contract and it will fill regardless.
🎯 How To Trade It — Two Approaches
Everything hinges on the bias state and the index columns. Raw NC Net alone is noise; a market tagged TOP RISK with Ix52 ≥ 80 and 6 straight amber weeks in the heat strip is where the real information sits.
◾ 1 FADE THE EXTREME — trade the reversion
This is the classic COT read. Specs are crowded to one side, indices are pinned near an extreme, and the Bias column has flagged it.
▪️ Setup: a market tagged TOP RISK or BOTTOM SETUP, with Ix52 ≥ 80 or ≤ 20, and the Flip% heat strip showing several consecutive weeks in the same regime (crowd conviction). CIx52 pointing opposite (commercials leaning the other way) strengthens the read.
▪️ Trigger: this dashboard is not the trigger. Go to the chart of that market and wait for your own reversal confirmation — price rejection, structure break, momentum divergence.
▪️ Stop: beyond the most recent swing that made the extreme.
▪️ Targets: mean-reversion targets — the 52w index moving back through 50, or price returning to a mid-range value area.
⚖️ The cleanest version: NC Ix52 ≥ 85, Com Ix52 ≤ 15 (they disagree hard), Flip% has been extreme for 6+ weeks in the heat strip, and ΔNet W just printed its first meaningful flip against the trend. That's a positioning exhaustion signal.
◾ 2 RIDE THE BUILD — trade with the trend
The mirror case, and the one that matters when nothing is extreme yet.
▪️ Setup: a market tagged Building Long or Building Short. NC net is trending, ΔNet W has been consistently positive (or negative), ΔOI% is expanding (real money coming in, not short-covering), and the Flip% heat strip shows a clean color gradient in one direction.
▪️ Trigger: enter on your chart in the direction of the build on any of your own continuation setups.
▪️ Stop: on a decisive break of the ongoing structure.
▪️ Targets: run it until the Bias column flips to TOP RISK / BOTTOM SETUP — that is your exit warning. Positioning has become the trade instead of driving it.
⚖️ Watch ΔOI%. A build with rising OI is a real institutional position; a build with falling OI is specs chasing an old move — those don't last.
Rule of thumb: ⭐ Market tagged TOP RISK / BOTTOM SETUP with an extreme Ix52 → prepare to fade on price confirmation. ⭐ Market tagged Building X with expanding OI and a clean heat strip → trade continuation with the build. ⭐ Anything mid-range, no color in the heat strip, neutral bias → no trade, look elsewhere.
⚠️ IMPORTANT NOTICE: Strong COT Report Dashboard renders CFTC Legacy COT data and derives descriptive positioning states from it. The Bias column, the Scenario / Outlook narrative and the 0-100 COT indices are descriptive conviction readouts built from reported positioning — they are not backtested win-rates, and this indicator tracks no trade outcomes and reports no performance statistics. COT data is released weekly with a Tuesday-for-Tuesday delay, so the dashboard is a structural read, not a real-time signal. This is decision support, not a standalone trade trigger. Always combine it with your own strategy, price-action confirmation and risk management. Past positioning does not guarantee future results. Indicator
Classic Pattern EngineIs a chart-pattern detection tool built around confirmed swing pivots.
The script identifies selected classic chart-pattern structures and draws them directly on the chart. It is designed as a visual pattern-mapping tool, not as an automated trading system.
What the script detects
Reversal patterns:
- Double Top
- Double Bottom
- Triple Top
- Triple Bottom
- Head and Shoulders
- Inverted Head and Shoulders
Continuation / structure patterns:
- Rectangles
- Ascending Triangle
- Descending Triangle
- Symmetrical Triangle
- Rising Wedge
- Falling Wedge
- Bull Flag
- Bear Flag
- Bullish Pennant
- Bearish Pennant
How it works
The script uses confirmed pivot highs and pivot lows to build a swing structure. It then compares the most recent confirmed swings against geometric conditions such as:
- Similarity of highs or lows
- Pattern height relative to ATR
- Slope of upper and lower boundaries
- Convergence or parallel behavior
- Pattern duration
- Flag or pennant context when applicable
Each detected pattern receives a quality score. This score is based on the geometry of the pattern, such as symmetry, height, similarity of key swing points, slope behavior, and structure fit. The score is intended to help users filter weaker shapes from cleaner structures.
Entry, Stop, and Target levels
The script can display Entry, Stop, and Target reference levels for detected patterns.
These levels are geometric references derived from the detected pattern structure. They are not trade recommendations.
The script can also track the state of the detected setup:
- Pending: the pattern is detected but entry has not been triggered
- Active: entry level has been reached
- Target Hit: price reached the target reference level
- Stop Hit: price reached the stop reference level
- Expired: the setup remained unresolved beyond the selected time window
The Entry label can also show an estimated R:R value based on the distance between Entry, Stop, and Target.
Main settings
Detection:
- Pivot strength
- Equality tolerance in ATR
- Minimum pattern height
- Minimum pattern quality
- Maximum pattern length
Display:
- Show only latest pattern
- Show pattern lines
- Show entry / stop / target levels
- Show R:R in entry label
- Fade inactive levels after result
- Entry / stop / target projection length
- Pattern line width
- Entry / stop / target line width
- Entry / stop / target label size
Colors:
- Pattern colors
- Entry line color
- Stop line color
- Target line color
- Entry text color
- Stop text color
- Target text color
- Resolved / inactive level styling
How to use
Use the indicator as a visual assistant for identifying and reviewing chart-pattern structures.
A detected pattern means the required swing geometry has formed. It does not mean that the pattern will complete successfully or that price will reach the target.
Users can choose to display only the latest pattern for a clean chart, or keep more visual history by changing the display settings.
Repainting note
This script uses confirmed pivot highs and confirmed pivot lows. A pattern can only be detected after the required pivot confirmation bars have passed.
For this reason, pattern drawings may appear on earlier swing points after confirmation. This is a normal confirmation delay caused by pivot-based detection.
The script does not use lookahead. Entry, stop, target, and state labels update only as new bars develop after a pattern has been detected.
Limitations
Chart patterns are geometric interpretations of price structure. Different traders may classify the same structure differently.
The displayed Entry, Stop, Target, and R:R values are reference levels calculated from the pattern geometry. They should not be treated as financial advice, trading instructions, or guaranteed outcomes.
The indicator is intended for chart analysis, education, and visual pattern review. Indicator
1 HR Fair Value GapIt draws 1-hour fair value gaps on your chart, no matter what timeframe you're looking at.
A fair value gap is a 3-candle imbalance: price moves so fast that the first and third candles don't overlap, leaving a gap. The code checks confirmed 1-hour candles and finds two kinds — bullish (gap up, `h3 < l1`) and bearish (gap down, `l3 > h1`).
When it finds one, it does two things: draws a colored box marking the gap, and draws a line at the 50% midpoint of that gap extended 24 hours to the right. The midline is the part you actually trade off of — where price is likely to return and react.
The `bars24h` piece just makes "24 hours" translate correctly to any chart, since 24 hours is 288 bars on a 5-minute chart but only 24 bars on a 1-hour chart. And the age-out at the bottom stops tracking each midline once it's 24 hours old, so old levels drop off.
That's the whole thing — pure levels, no signals, no bias, no alerts. Indicator
Volatility Squeeze Breakout [JOAT]Volatility Squeeze Breakout
Finds volatility compression — when Bollinger Bands contract inside the Keltner Channel — and signals the directional release with a built-in energy gauge.
What it is
Markets alternate between coiling and expanding. This indicator detects the coil using the classic squeeze relationship between two well-known volatility envelopes, quantifies how much energy has built up, and then signals the breakout in the direction momentum actually resolves. It is an original implementation with a charge model and full trade framing, not a bare squeeze dot script.
How it works
• The squeeze — a squeeze is on when the Bollinger Bands (price standard deviation) contract entirely inside the Keltner Channel (ATR-based). This means realised volatility has fallen below its typical range and the market is compressing.
• Charge / energy — while the squeeze persists, the tool tracks how long and how tightly the market has been coiled and expresses it as a 0–100 charge. A longer, tighter coil stores more potential energy for the eventual expansion.
• Momentum direction — a smoothed momentum measure determines which way the coil is leaning, so the breakout is read directionally rather than as a neutral event.
• The release — a Buy fires when the squeeze releases with rising positive momentum; a Sell fires when it releases with falling negative momentum. The release is a discrete event, and a minimum-gap control prevents repeated prints around the same break.
Trade levels
On a signal, a red risk box marks entry to the ATR stop and a green reward box marks entry to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable energy-gauge panel shows the squeeze state, the charge that had accumulated at the moment of release, the momentum direction, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; volatility cycles exist at every scale.
• Watch the charge build during a squeeze, then act on the release in the momentum direction.
• Higher charge readings indicate a longer coil, which some traders treat as a higher-quality setup — but a big coil can still resolve in either direction, so the momentum gate matters.
Settings
Bollinger length and multiplier, Keltner length and ATR multiplier, momentum length, release and charge options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The squeeze concept is public domain; the value added here is the charge model that turns coil duration and tightness into a readable energy figure, the directional momentum gate on the release, and the integrated non-repainting trade framing — combined and explained so a trader can see exactly why each breakout is flagged.
Notes and limitations
• Squeeze breakouts can fail or fake out; a release does not guarantee follow-through.
• The charge measures compression, not direction — always confirm with the momentum reading and your own context.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Daily Bias Structure MapDaily Bias Structure Map
An automated market-structure tool that reads swing highs/lows the same way a discretionary ICT-style trader would — and marks up your chart with the exact levels you'd draw by hand: origin, break of structure, liquidity target, and equilibrium.
What it does
The indicator tracks pivot highs and lows in real time. When price closes back through the most recent unbroken pivot, it registers a break of structure (BOS) and flips bias — then automatically plots:
- BOS line— the swing that was just broken, confirming the shift in bias
- Origin line — the opposing swing that started the current leg
- Liquidity target— the next untapped swing beyond the BOS, i.e. the level price is being drawn toward
- Equilibrium (50%)- the midpoint between origin and liquidity target
- Premium / Discount zones— labeled above and below equilibrium, so you can see at a glance whether price is in a favorable zone to enter with bias, or extended and better left alone
- Structure trendline— connects the origin swing to the most recent higher low (in a bullish leg) or lower high (in a bearish leg), extended forward
- Bias label — a pinned box in the top-left corner showing BULLISH / BEARISH / NEUTRAL, updating live as structure shifts
All levels and the bias label recalculate and redraw automatically on every new BOS, so the chart never gets cluttered with stale lines.
**How to use it**
1. Add it to your higher-timeframe chart (daily or 4H is standard) to establish directional bias before session trading.
2. Treat BULLISH as "look for longs only," BEARISH as "look for shorts only" — the model works best when you don't fight the labeled bias.
3. Use the premium/discount split to time entries: buy from discount in a bullish bias, sell from premium in a bearish bias, rather than chasing price mid-range.
4. Drop to a lower timeframe (5–15m) for your actual trigger (liquidity sweep + MSS + FVG/OB entry) once bias is established here.
5. Enable alerts for "Bullish BOS" / "Bearish BOS" to get notified the moment structure shifts, without watching the chart.
**Settings**
- *Pivot Lookback* — controls how significant a swing must be to register (higher = fewer, more major swing points; lower = more responsive but noisier)
- Toggle equilibrium, premium/discount labels, liquidity target, origin line, and trendline independently
- Customizable bullish/bearish colors and label text size
**Notes**
Pivots confirm with a lookback delay (standard for any swing-based tool), so the most recent 1–2 candles' structure may adjust slightly as new bars print. This is a bias/context tool, not a standalone entry signal — pair it with your own lower-timeframe confirmation and risk management. Not financial advice. Indicator
Liquidity Sweep Hunter & Targets | AlphaScript⚡ Liquidity Sweep Hunter & Targets
Tracks the High and Low of the Asia and London sessions, tells you exactly what happened to each level, and plots a risk-defined trade framework when a level is swept during the New York session.
This indicator is an upgrade to the : Session Sweep Detector
🔍 What it does
When a session closes, its High and Low become fixed liquidity levels. The indicator draws each level from the exact candle that printed the extreme and watches it until the same session opens again the next day.
Each level resolves in exactly one of three ways:
⚡ SWEEP — price wicks through the level but the bar closes back on the original side. A liquidity raid: stops were taken, but the level held on a closing basis.
💥 BREAK — a bar closes through the level. This is not a sweep, and the indicator never labels it as one. Breaks are displayed separately (and can be hidden) so the two events are never conflated.
🛡️ Untouched — the level survives its full watch window without either event.
First qualifying event wins: one outcome per level, per session, per day. If a bar both pierces and closes through a level, it counts as a break — a close through the level can never be a sweep.
🎯 NY Sweep Targets
When a session level is swept during the New York session, the indicator plots a risk-defined framework:
-Entry at the sweep bar's close
-Stop beyond the sweep wick or beyond the swept level (your choice), plus a tick buffer
-Four fully configurable R-multiple targets (default 1R / 1.5R / 2R / 3R)
-Optional risk / reward zone shading
A Low swept = bullish framework (targets above); a High swept = bearish (targets below). The targets are risk-multiple geometry measured from your entry and stop — planning levels for trade management, not predictions of where price will go.
📖 How to read the chart
-Solid colored lines are session levels, each starting at the candle that actually made the High or Low, so the line points at the liquidity itself.
-Every level line extends to the same right edge, so the name/price labels line up in a clean column.
-When a level is swept or broken, a tag prints at the event bar marking exactly where it happened.
-Previous sessions' levels remain on the chart as reference, with an option to keep or hide their labels.
⚙️ Settings
-Toggle each level independently (Asia High/Low, London High/Low), with per-session colors and fully configurable session hours (New York time; defaults: Asia 18:00–04:00, London 03:00–12:00).
-Minimum wick penetration filter (in ticks) to ignore marginal pokes when qualifying sweeps. Does not apply to breaks.
-Full control over the target framework: stop anchor, buffer, four R-multiples, line styles, colors, and optional risk/reward fills.
-Control how many previous sessions stay on the chart, whether previous-session labels are shown, and optional transparency for past levels.
🔔 Alerts
Per-level sweep alerts (Asia High/Low, London High/Low), combined "Any Sweep" and "Any Break" alerts, and an "NY Sweep Setup" alert that fires when a target framework is plotted. All alerts fire on the close of the event bar.
📌 Notes and limitations
-Designed for intraday timeframes (1 minute to 30 minutes). On higher timeframes, sessions span too few bars for meaningful detection.
-Session times are defined in New York time (America/New_York) and handle the midnight crossover correctly. If you use another session-levels indicator, match the session hours so both tools agree on where the levels are.
-The target framework is a trade-management and planning tool. Entry, stop, and R-targets are geometry based on the sweep — use your own analysis and risk management to decide whether and how to act on a setup.
-Sweep-vs-break classification depends on your chart timeframe: a wick-through-and-reclaim on a 15m bar may resolve as a break on 1m if an intermediate bar closed beyond the level. Neither reading is wrong — they answer different questions.
✅ Why no repaint
-Events are evaluated on confirmed (closed) bars only. A sweep or break tag will never appear intrabar and then vanish.
-Levels are only armed after their session has fully completed. A session High that is still forming cannot be "swept" — price touching it would simply extend it — so no detection runs until the level is final.
-No request.security() calls are used anywhere. All session tracking is chart-timeframe stat Indicator
Adaptive Momentum Ribbon [JOAT]Adaptive Momentum Ribbon
An eight-layer moving-average ribbon whose colour is driven by live momentum and whose compression flags the coil before the move.
What it is
A single moving average tells you very little. A ribbon of them, fanned by speed, tells you three things at once: direction (the colour), strength (how wide it fans) and turning points (where it squeezes and flips). This indicator builds that ribbon and adds a momentum core and a compression detector so the ribbon is not just decorative — it gates the signals.
How it works
• The ribbon — eight exponential moving averages from fast to slow, with an optional light second smoothing pass for cleaner turns. When the fast layers sit above the slow layers the stack is bullish, and vice versa.
• Momentum core — a rate-of-change normalised by ATR and then smoothed. This value is mapped onto a colour gradient, so a strong trend glows saturated while a fading one drifts toward neutral. The same value gates entries, so you buy strength rather than every flip.
• Compression detector — the width between the fastest and slowest ribbon lines is ranked as a percentile over a lookback window. A low percentile means the market is coiled; a move out of that coil is the tradable expansion. Coils are highlighted so you can see energy building.
• Flip signals — a Buy prints when the ribbon flips up out of (or just after) a compression with positive momentum; a Sell is the mirror. Because a flip requires the stack to actually reverse, signals are naturally spaced, and a minimum-gap control adds a further safeguard against clustering.
Trade levels
Each signal draws a red risk box to the ATR-based stop and a green reward box to the third target, with inner target lines and right-edge price labels for entry, stop and every take-profit at your chosen R multiples.
The dashboard
An adjustable panel shows trend direction, a block-gradient momentum meter with a signed headline value, the compression state (coiled or expanded), a 0–100 conviction estimate, the current signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on all assets and timeframes; the ribbon adapts to whatever data it is given.
• Use the coil highlight to prepare for a move and the flip-with-momentum signal to time it.
• Require the coil filter for cleaner, fewer signals in choppy markets, or relax it for more responsive trend entries.
Settings
Base length and layer step, source, optional smoothing, momentum length and smoothing, signal momentum gate, compression window and percentile threshold, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The combination is the point: a speed-fanned ribbon, an ATR-normalised momentum gradient that both colours the ribbon and filters signals, and a percentile-ranked compression model that isolates coils. Together they turn a familiar visual into a structured, non-repainting trend-and-expansion tool.
Notes and limitations
• Moving averages lag by nature; the ribbon confirms trend, it does not call exact tops or bottoms.
• In strong one-way trends the compression filter may keep you out of some continuation entries — that is the intended trade-off for fewer false flips.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Strong NQ ORB Breakouts | ProjectSyndicateSTRONG NQ ORB Breakouts catches the moment the Nasdaq session resolves its opening range — and instead of treating every push past a line as a trade, it waits for a genuine close beyond the range, tags the direction, and ranks the breakout 0–10 with a star score. The first block of the session builds a range; price then has to actually close outside it, in agreement with momentum and — if you want it — the higher-timeframe trend, before a signal arms. Every setup gets a structural stop, fixed R-based targets with a ⅓/⅓/⅓ scale-out and break-even after the first bank, and is tracked live on a full statistics dashboard — including end-of-session time-stops — so you can see exactly how the logic behaves on the instrument and timeframe you trade.
🧠 Opening-Range Core — the core idea. At the start of the session the engine records the high and low of a configurable opening window, 60 minutes by default. That band is the opening range: the session's first agreed value area. A signal fires on the release — the bar that closes beyond the range high for a long or the range low for a short inside the trade window — and the direction is set by that break. In Auto mode the range anchors to the instrument's own daily session open (the first bar of the day), so it locks to the real NAS100 / NQ open regardless of your feed's server clock; a Custom session-plus-timezone mode is there if you'd rather define the window by hand. Signals are evaluated on the bar's close and are fixed once that bar closes — the range and the break do not repaint.
📈 Range Mapping & ADR Context — while the opening window is live, the engine continuously tracks the developing high, low, and width of the range, then freezes it the moment the window ends. The finished range is measured in points and expressed as a percentage of the instrument's Average Daily Range, a non-repainting daily read, so you instantly see whether the session is coiling tightly or has already burned its move. A clean, proportionate range is a loaded session; an over-wide one is a day that has already spent itself.
🎯 Structural Stop + R-Based Scale-Out — risk (R) is measured from an ATR distance by default — the strongest basis on NAS100 M5 — or against the opposite range edge or the range midline if you prefer, then floored and capped by ATR so it can never collapse into a meaningless stop or balloon into a wide one. TP1, TP2, and TP3 are set at clean R multiples and default to a balanced 1R / 2R / 3R, fully adjustable. The trade model is an honest ⅓ scale-out: one third banks at each target, and after TP1 the remaining two thirds ride with the stop moved to break-even. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled levels, and filled TP / SL zone boxes, with an R-tagged result label on exit.
🎚️ Conviction Controls — a small set of dials sets how serious a breakout must be before it counts: the 0–10 Minimum Strength gate, an optional Range-vs-ADR window that skips days whose range is too tight or too wide, a Close-vs-Wick breakout trigger, and Max One Trade Per Day. By design the day-skipping filters are off by default — no days are hidden — so you first see the raw, unfiltered behavior. Tighten them for fewer, higher-quality fires; loosen them for more activity. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment + Session Gating — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. Entries are confined to the trade window after the range forms, and the per-day cap spaces out tickets so one volatile session can't stack trades. Anything still open at the session close is flattened by an end-of-session time-stop — and that exit is booked and counted honestly, never quietly dropped.
🧲 Liquidity Magnet — the engine maps resting liquidity by tracking confirmed swing pivots above and below price and marking each as swept or unswept as price trades through it. When a breakout fires, it projects the nearest opposing unswept pool as a dotted magnet line — the pocket of liquidity the move is naturally drawn toward — and the dashboard reports the distance to the nearest pools up and down in ATR terms. It's context for where the breakout wants to go.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across breakout-native factors: expansion-candle body strength, candle range vs ATR, momentum alignment over short and medium lookbacks, volume confirmation, clean penetration beyond the range edge, RSI agreement, higher-timeframe EMA alignment, and intraday bias of close versus the session open. A companion direction-probability read blends penetration, momentum, RSI, session bias, and HTF position into an up/down percentage. Treat the score as a confluence / cleanliness read for ranking setups — it describes how textbook a breakout is, not a guaranteed outcome. Note: on the test data, filtering to "strong only" actually *reduced* win rate, so the stars default to a context tool rather than a hard gate.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current session state of waiting / forming OR / range set / armed / trade active, the live opening-range size and its ADR percentage, the magnet distance up and down, the active bias and trade, the live strength and direction-probability meters, total win rate and closed-trade count, profit factor, average R per trade, total R, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL / EOD outcome breakdown. Every filled trade that reaches an outcome is counted — winners, stop-outs, break-even runners, and time-stops alike — so the numbers are computed live from the real signals on your current symbol and timeframe rather than a figure printed in a description.
🎨 Clean Themed Visuals — a Midnight institutional palette, with Emerald, Ice Blue, Gold Black, and Aqua Violet alternates, shades the opening-range box, the ORH / ORL / midline levels, the per-trade SL / TP ladder, the liquidity pools and magnet, and the dashboard to one coherent look, so quality and direction read at a glance. The range box is drawn over the window where it formed and projected forward with point-labeled edges; long and short trades are color-keyed; a faint tint marks the active opening window. A shelf-length and max-drawn-trades control keep the chart clean — the right-edge zones never stretch into oversized towers, tickets snap back to the exit bar on close so labels never float away, and only the most recent N tickets stay drawn while the statistics remain cumulative over the whole history.
🔔 Detailed Alerts — fires on long / short opening-range breakouts, plus TP3, protected partial-TP, and stop-loss events, formatted for manual or automated use.
🔧 Fully Customizable — every component is exposed: the range anchor (Auto session-open or Custom), the opening-range minutes, timezone, and trade window; the ATR length, stop basis of ATR / opposite edge / midline with risk cap and floor; the three R targets, break-even-after-TP1 toggle, Close-vs-Wick trigger, and one-trade-per-day cap; the ADR gate with min/max band, minimum strength, and HTF alignment filter and timeframe; the liquidity pivot length, pool display, and magnet toggle; the point definition for the dashboard; all five themes; and every label, dashboard, zone, and projection toggle.
🎯 Why this is different — most ORB tools just draw two lines at a fixed clock time and leave everything after that to you. This one anchors the range to the real Nasdaq open, sizes the break against the instrument's own ADR so a tight coil and a blown-out day aren't treated alike, can demand momentum, volume, penetration, and trend confirmation before it fires, anchors risk sensibly, then layers a genuine ⅓/⅓/⅓ scale-out with break-even, a liquidity magnet, an objective 0–10 ranking, and a live, honest statistics panel — one that counts stop-outs and end-of-session exits in full — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — built and validated for NAS100 / NQ on the M5 timeframe, where the default OR 60m · ATR×1.0 stop · 1R/2R/3R model was developed. The ATR-based stop and ADR sizing adapt to volatility automatically, and the session windows can be re-pointed to a different open if you want to run the same engine elsewhere. It works on other index CFDs and futures, but the defaults are tuned for the Nasdaq open.
🎯 How to trade it
- Apply it to NAS100 / NQ on M5 and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit your feed, you'll see it.
- Start with the day-skipping filters off to see raw behavior; add the HTF Trend Alignment and Range-vs-ADR gates when you want to trade only with the larger trend and skip dead or already-spent sessions.
- Wait for a NQ ORB LONG / NQ ORB SHORT label — it marks a confirmed close beyond the opening range, with the star score, direction probability, and Entry, SL, and TP1/2/3 already plotted.
- Manage the trade with the plotted levels: the structural SL defines your risk, one third banks at each R target with the stop moving to break-even after TP1, and any position still open at the trade-window close is flattened by the time-stop.
- Use Minimum Strength and Max One Trade Per Day to set your tempo, and read the liquidity magnet for a sense of where the move is being drawn.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by instrument, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model includes a ⅓ scale-out, break-even after TP1, and an end-of-session time-stop, so some trades close at a fraction of a target rather than a full win or loss — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
ICT Liquidity Sweep & Structure [JOAT]ICT Liquidity Sweep and Structure
A smart-money workflow that maps resting liquidity, detects stop-hunt sweeps, and reads market structure shifts on one clean overlay.
What it is
This tool organises several well-known smart-money / ICT concepts into one coherent, non-repainting engine and — importantly — explains how the pieces reinforce each other rather than just stacking them. The premise: price is drawn to pools of resting orders (old highs and lows), often sweeps them to trigger stops, and then reveals its true intent through a structure break. The indicator makes each of those steps visible and gates its signals on their confluence.
How it works
• Liquidity levels — confirmed swing highs and lows (pivots) are drawn as buy-side liquidity (above old highs) and sell-side liquidity (below old lows) lines, each labelled with its price. These mark where stops are likely resting.
• Liquidity sweeps — a sweep is detected when price trades through one of these levels and then closes back on the original side, i.e. the level was raided but not accepted. This is the classic stop-hunt footprint and is the setup trigger.
• Market structure (BOS / CHoCH) — the engine tracks the live sequence of swings. A Break of Structure confirms trend continuation; a Change of Character is the first counter-break that flips the internal bias. Both are labelled on confirmed closes.
• Fair value gaps — three-bar imbalances left by displacement are drawn as zones and used as entry confluence, since price often rebalances them.
• Confluence gate — a Buy requires a bullish sequence (a sweep of sell-side liquidity followed by a bullish structure shift, optionally aligned with a fair-value gap); a Sell is the mirror. Buy and Sell are made mutually exclusive so both never print on the same bar, and a minimum-spacing control prevents clustering.
Trade levels
Each signal renders a red risk box from entry to stop and a green reward box from entry to the third target, with inner target dividers and right-edge labels for entry, stop and each take-profit at your R multiples. The stop is anchored to the structure that produced the signal, not to a fixed distance.
The dashboard
An adjustable panel summarises the current structural bias, the most recent liquidity event, the nearest untapped level, a conviction estimate, the active signal, and a live first-target-before-stop tally computed only on closed bars.
How to use it
• Suitable for any asset and timeframe; the concepts are scale-independent, though very low timeframes produce more noise.
• Use the liquidity lines to anticipate where price may be drawn next, and wait for a sweep-plus-structure confluence rather than acting on a raw level touch.
• Combine with a higher-timeframe bias for directional filtering.
Settings
Pivot strength, liquidity extension, sweep sensitivity, fair-value-gap minimum size, structure options, risk multiple and target R multiples, plus full colour and dashboard controls.
Originality and usefulness
Rather than plotting isolated ICT drawings, this engine chains them into a single logical sequence — liquidity, sweep, structure shift, imbalance — and only signals when that sequence agrees. The description of why those components belong together, and the confirmed-bar evaluation that keeps them honest, is what distinguishes it from a generic structure plotter.
Notes and limitations
• Structure and sweeps are defined algorithmically; discretionary traders may mark them slightly differently.
• Signals confirm on bar close, which trades a small amount of immediacy for stability and no repainting.
• The on-chart tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Strong Biotech Screener | ProjectSyndicateStrong Biotech Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of 40 leading biotech names by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the year's biotech leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
🧬 Curated 40-Name Biotech Universe — the screener watches a hand-picked list of 40 high-momentum biotech, pharma, and life-sciences stocks in one place. Instead of flipping through forty charts, you see every name's performance and risk profile side by side and immediately spot who is leading and who is rolling over.
🗓️ Six-Timeframe Performance — each stock is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week catalyst pop from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every name is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list — which matters especially in biotech, where single-name volatility is extreme.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 names in the screener, so it tells you how a stock moves relative to this specific biotech cohort rather than a broad index. Beta above 1 swings harder than the group; below 1 is steadier. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each name's price action is before you size into it — essential in a sector where binary trial and FDA events can move a stock 50% in a session.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns with a single setting. Rank by YTD to find the year's biotech leaders, by Week to catch what is moving on fresh catalysts, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on PulseWire, with a clean merged title heading and an alternating-row layout for easy reading. Delisted or halted tickers degrade gracefully to blank rows rather than breaking the panel.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for forty leading biotech names on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the biotech leadership group as a whole. Use it for top-down scanning, rotation ideas, and risk screening before you drill into an individual name's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. The 40-name universe is a snapshot of the year's momentum leaders and will drift over time; the board re-ranks live, but membership is fixed until updated. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Biotech is an especially high-risk sector driven by binary clinical and regulatory events — always pair the screener with your own analysis and risk management. Indicator
Indicator
Whale Order Flow Radar [JOAT]Whale Order Flow Radar
Reconstructs institutional order-flow pressure from standard OHLCV and flags the footprints large participants leave behind — without needing tick or bid/ask data.
What it is
Most volume tools only tell you that "a lot traded". They do not tell you who was aggressive or which side absorbed the flow. This indicator estimates aggressor pressure from the one thing every chart gives you — the open, high, low, close and volume of each bar — and turns it into a readable map of accumulation, distribution and absorption. It is an original engine built from scratch; it is not a wrapper around a built-in volume study.
How it works
The calculations are transparent and each one is standard statistics applied in a specific way:
• Whale prints — every bar's volume is converted to a z-score against a rolling mean and standard deviation (default 50-bar window). A bar is only tagged as a whale print when its volume is a statistical outlier and it closes with conviction (the close lands in the upper or lower third of the bar's range). Requiring both filters separates genuine directional size from random spikes.
• Delta proxy — each bar's volume is split into buy volume and sell volume by where price closed inside its own range (close near the high = buyers dominated, close near the low = sellers dominated). Delta is buy minus sell. This is a bounded, non-repainting estimate of aggressor delta; it is a proxy, not true tick delta, and the description is honest about that.
• Cumulative delta — the running sum of the delta proxy, with an optional reset per session or week so it does not drift indefinitely.
• Absorption — high volume combined with an unusually small range flags a passive iceberg soaking up flow. These are marked separately because they often precede reversals rather than continuations.
• Pressure oscillator — a smoothed, volume-normalised delta that drives the colour system and gates the signals so you are reading strength, not every wiggle.
The signals
A Buy prints when a bullish whale print lands while the cumulative delta and an optional trend filter both agree; a Sell is the mirror. Everything is evaluated on the confirmed bar, so a printed signal does not repaint. A minimum-bar spacing control keeps Buy and Sell labels from stacking on lower timeframes.
Trade levels
When enabled, the most recent signal draws an ATR-based ladder: a stop level and three take-profit levels at your chosen R multiples, each labelled with its price on the right edge, so the intended risk and reward are visible at a glance.
The dashboard
A compact panel reports the current trend bias, the pressure reading, a 0–100 conviction estimate for the latest print, the active signal state, and a live win tally (how often the first target was reached before the stop, measured only on already-closed bars with no lookahead). The panel position and text size are adjustable.
How to use it
• Works on any symbol and any timeframe that provides volume; on symbols with no real volume the delta components are less meaningful, which is noted here honestly.
• Treat whale prints and absorption as context, not as automatic entries — combine them with your own structure read.
• Use the trend filter to only take prints in the direction of the higher-level bias, or turn it off for counter-trend fade setups.
• The conviction score and win tally are on-chart context to help you filter, not a performance promise.
Settings
Volume baseline window, whale z-score threshold, conviction fraction, absorption threshold, delta smoothing and reset, trend filter length, ATR risk multiple and target R multiples, plus full visual and dashboard controls.
Originality and usefulness
The value here is the specific combination: a dual-filter whale detector (outlier volume and close-in-range conviction), a bounded close-based delta proxy with cumulative tracking, a separate absorption model, and a normalised pressure oscillator that ties them together into one non-repainting signal. That blend, and the reasoning for it, is what makes it more than a standard volume histogram.
Notes and limitations
• The delta and pressure figures are estimates derived from OHLCV, not exchange order-flow data. They approximate aggressor behaviour; they do not measure it directly.
• No indicator predicts the future. Signals can and will fail, especially in thin or news-driven conditions.
• The win tally reflects only what has already happened on the loaded chart and is not a forecast of future results.
• This is an educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
Indicator
Session Sweep Detector | AlphaScript🎯Session Sweep Detector
Tracks the High and Low of the Asia and London sessions and tells you exactly what happened to each level — using strict, transparent definitions.
🔍What it does
When a session closes, its High and Low become fixed liquidity levels.
This indicator draws each level from the exact candle that printed the extreme and watches it until the same session opens again the next day.
Each level resolves in exactly one of three ways:
⚡ SWEEP — price wicks through the level but the bar closes back on the original side. A liquidity raid: stops were taken, but the level held on a closing basis.
💥BREAK — a bar closes through the level. This is not a sweep, and the indicator never labels it as one. Breaks are displayed separately (and can be hidden) so the two events are never conflated.
🛡️Untouched — the level survives its full watch window without either event.
First qualifying event wins: one outcome per level, per session, per day. If a bar both pierces and closes through a level, it counts as a break — a close through the level can never be a sweep.
📖How to read the chart
-Solid colored lines are session levels. Each line starts at the candle that actually made the High or Low, so the line points at the liquidity itself.
-Live levels (still being watched) project ahead of price with a name and price label.
-After a sweep or break, the tag prints at the event bar and the line continues a configurable number of bars past the event before freezing — so you can see the reaction.
-Levels that were never touched freeze when their watch window ends.
⚙️Settings
-Toggle each level independently (Asia High/Low, London High/Low), with per-session colors and fully configurable session hours (times in New York time; defaults: Asia 18:00–04:00, London 03:00–12:00).
-Minimum wick penetration filter (in ticks) to ignore marginal pokes when qualifying sweeps. Does not apply to breaks.
-Control how many previous sessions' levels and tags remain on the chart, with optional transparency for past levels.
-Optional Opening Range Block overlay (off by default): draws the opening range of the New York, London, or Asia session with configurable duration, breakout arrows, mid line, and previous-range history. Note: ORB breakout detection and alerts only run while the ORB display is enabled.
🔔Alerts
Per-level sweep alerts (Asia High/Low, London High/Low), combined "Any Sweep" and "Any Break" alerts, and ORB breakout alerts. All alerts fire on the close of the event bar.
📌 Notes and limitations
-Designed for intraday timeframes (1 minute to 30 minutes). On higher timeframes, sessions span too few bars for meaningful detection.
-Session times are defined in New York time (America/New_York) and handle the midnight crossover correctly. If you use another session-levels indicator, match the session hours so both tools agree on where the levels are.
-Sweep-vs-break classification depends on your chart timeframe: a wick-through-and-reclaim on a 15m bar may resolve as a break on 1m if an intermediate bar closed beyond the level. Neither reading is wrong — they are answers to different questions — but be aware of it when comparing timeframes.
✅Why no repaint
-Events are evaluated on confirmed (closed) bars only. A sweep or break tag will never appear intrabar and then vanish.
-Levels are only armed after their session has fully completed. A session High that is still forming cannot be "swept" — price touching it would simply extend it — so no detection runs until the level is final.
-No request.security() calls are used anywhere. All session tracking is chart-timeframe state. Indicator
KEY LEVEL SMC - Order BlockThe "KEY LEVEL SMC - Order Block" is a specialized institutional technical analysis tool optimized for PulseWire v6. It automatically detects, highlights, and projects Order Blocks (OB) using strict algorithmic price action and structural efficiency logic.
This indicator is specifically engineered for traders utilizing Smart Money Concepts (SMC) and Order Flow mechanics to maintain an objective view of institutional supply and demand zones.
### 📐 How It Works (Algorithmic Logic):
Unlike standard engulfing indicators, this script applies a strict filter requiring the immediate displacement to leave a structural imbalance (Fair Value Gap/Inefficiency) behind. The signal evaluates a 3-candle sequence:
1. **Bullish Order Block Configuration:**
- The setup identifies a specific institutional down-candle followed by aggressive upward displacement.
- A valid signal is triggered only if the opening price of the current setup candle is within or below the previous candle's body, closes above the previous candle's open, and the subsequent candle's low fails to mitigate the high of the initial candle (confirming an immediate structural imbalance).
- **Zone Boundaries:** The automated box marks the lowest point between the two initial candles as the bottom zone, and the open price of the setup candle as the top zone.
2. **Bearish Order Block Configuration:**
- The setup tracks an institutional up-candle followed by sharp downward displacement.
- Trigger criteria mandate that the setup candle opens within or above the previous body, closes below the previous open, and the subsequent candle's high leaves an unmitigated gap below the previous candle's low.
- **Zone Boundaries:** The automated box spans from the highest point of the displacement candles to the open price of the setup candle.
### 💻 Key Features & Customization:
* **Dynamic Box Array Management:** The script utilizes dynamic arrays (`box `) to plot and track multiple historical zones simultaneously. To ensure peak chart performance without causing lag, it features an automated memory cleanup loop governed by the "Maximum Box Displayed" parameter.
* **Real-time Extensions:** Zones remain active and extend dynamically to the right with each new bar until the price action fully mitigates or invalidates the defined structural level.
* **Dark-Mode Optimized UI:** Built-in customized color groups allow traders to seamlessly adjust candle overlays and box transparencies to fit professional dark layout themes perfectly.
### 🛑 Disclaimer & Use Case:
This tool is intended for professional intraday and swing trading strategies across major pairs, indices, and metals. It works best when combined with higher-timeframe order flow alignment and key Fibonacci expansion target objectives. Indicator
GRAM RSI Strategy [3Commas]GRAM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for GRAM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
Swing traders accumulating GRAM on deep RSI flushes rather than chasing momentum.
Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 78 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If GRAM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 2.21% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within GRAM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: GRAM / USDT — strategy is portable to any GRAM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 3, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,822.76 USDT (+3.82%)
Max Equity Drawdown: 2,283.04 USDT (2.21%)
Total Closed Trades: 78
Percent Profitable: 69.23% (54 / 78)
Profit Factor: 4.791
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 2.21%. Keep in mind the 78-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Strong Liquidity Outlook | ProjectSyndicateStrong Liquidity Outlook tracks the two opposed states of liquidity — the voids price must fill and the order shelves price must sweep — scores them on a single 0–10 scale, merges them where they agree, and projects a forward route through them. Every number on the panel is measured, not invented.
🟥🟩 IMPORTANT INFO: Because zone height, reach and distance are all ATR-derived, the engine self-calibrates to each symbol. Start on M5–H1. On daily charts raise Min Gap Size (%), as intraday voids become noise.
🧲 Two Draw Engines, One Scoreboard — the core of this tool. Most level tools track one thing. This one tracks the two opposed states of liquidity and forces them to compete on the same 0–10 scale. Imbalance zones are the voids — bar-to-bar gaps where no trade occurred, an absence price is drawn back to fill. Stop-pool zones are the opposite — dense shelves of resting orders sitting above swing highs and below swing lows, ATR-sized and volume-weighted. A gap is a vacuum; a pool is a wall. Both pull price, for opposite reasons, and until now you had to run two indicators to see them together.
🎯 Confluence Merging — where the real levels come from. Overlapping same-side zones do not stack into visual mush. They fuse. When a gap opens into the same pocket a stop pool already occupies, the two merge into one confluence zone, their volume mass adds, their scores compound, and the zone is tagged ×2 or ×3 on the chart. The levels that survive this merge are the ones two independent mechanisms agree on — and they rise to the top of the ranked panel automatically. No manual confluence hunting.
⭐ 0–10 Zone Strength Score. Every zone is graded on a transparent weighted blend of five factors: volume pressure at formation, zone size relative to ATR, number of tests it has survived, confluence depth, and proximity to current price. Optional idle decay bleeds a zone's score toward a floor while price ignores it, so a stale level cannot masquerade as a live one. Strong zones render sharp and opaque; weak ones fade. Every weight is exposed in settings.
♻️ Live Zone Lifecycle — INTACT → CONSUMED % → FILLED / SWEPT. A zone above price is eaten from its floor upward. A zone below price is eaten from its ceiling down. The script renders that literally: the bright remainder is the unworked part of the void, the dimmed slice behind it is what price has already consumed, and the label reports the exact percentage. When price closes fully through, an imbalance is marked FILLED and a pool is marked SWEPT. Every fresh re-entry — not just the first — counts as a new test and feeds the score.
🗺️ Scenario Builder — the powerful new part. This is not a hand-drawn arrow. The script walks your live zone map forward from the last bar and assembles a route from surveyed levels:
1 · TRIGGER — the nearest qualifying zone in the trigger direction. Price runs the stops first.
2 · REVERSE — a retrace of that leg. If a real zone sits within your ATR tolerance of that level, the waypoint snaps onto it and is flagged ⚑.
3 · RETEST — a partial recovery that deliberately fails short of the trigger extreme.
4 · TARGET — the strongest-scoring zone on the far side of price. Not the flashiest, not the furthest. The highest-graded one.
5 · EXTENSION — the next zone beyond target, if one exists.
Trigger direction defaults to Auto, taken from the live net-pull bias. Bars-per-leg are allocated proportionally to price travel, so steep legs stay steep and the path never looks synthetic.
🧮 Honest Path Confidence (0–100), never a fake "chance". Here is the rule the entire script is built on: if a leg is not anchored to a real, scored zone, it is drawn hollow and labelled as projected. If no zone exists on the far side, the target falls back to a measured move — and it says so, the vertex is drawn unfilled, and the confidence meter is cut. An unsnapped reverse waypoint is dimmed. Path Confidence is the mean of the trigger and target zone scores, penalized for anything unanchored. It is labelled confidence in the levels, not probability of the path. You will never see an invented "87% chance price reaches this target." The path is level geometry rendered forward. It re-solves every tick as zones score up, decay, or get swept — a current-state projection, not a committed forecast.
📊 Five-Slide Dashboard — every figure measured. A compact panel that auto-rotates (or pins to one slide) with ●○○○○ position pips.
OVERVIEW — regime, live zone counts by side, elite count, a tug-of-war net-pull meter, and the nearest zone above and below with strength bars and real distance.
TOP ZONES — the eight highest-scored live zones, ranked, each with type icon, confluence multiplier, price, and a score meter.
STATISTICS — this is the part nobody else ships. Gap fill rate, pool sweep rate, average bars to resolution, and post-resolution reaction rate, each with its own meter and its raw hits / total count exposed beside it.
PRESSURE — zone mass by side, estimated volume split, net delta above and below, and how many zones are partially eaten.
SCENARIO — the full waypoint list with prices, move-to-target in % and ATR, an approximate R multiple, the confidence meter, and an explicit anchoring readout.
📐 Statistics That Cannot Lie To You. Every zone ever detected stays in the denominator. Retiring a stale zone from the chart never removes it from the fill-rate sample. The reaction test — did price travel back n × ATR within n bars after a fill or sweep? — scores each resolution exactly once, hit or miss, and both numbers are shown. Samples under 20 events are flagged THIN — read with care rather than dressed up as a rate. Volume and delta figures are derived from bar geometry, not tick data, and the panel states that on its own row.
🔬 Non-Repainting By Construction. Gaps are read off closed bars only. Pivot-confirmed pools lag by your Pivot Right setting — that is confirmation lag, not repainting, and nothing is ever redrawn backwards once a zone is placed. All state mutations happen on bar close.
🎨 Clean Themed Visuals. Dashed borders on imbalance zones, solid on stop pools, so you read the type at a glance. Midlines on elite zones. Nearest-zone rails extending to current price. The scenario path renders as a three-pass polyline — two soft glow layers under a crisp core — with diamond waypoint markers, a terminal arrowhead, and dotted trigger/target rails.
🔔 Built-In Alerts. New imbalance zone, new stop-pool zone, zone tested, imbalance filled, stop pool swept, elite zone approach, and scenario trigger reached — each firing on bar close, formatted for manual or automated use.
🔧 Fully Customizable. Both detectors toggle independently. Gap size floors in both % and ATR. Pivot sensitivity, pool height and offset. All five score weights, decay rate and floor. Merge threshold, stale-zone retirement, reaction window and size. The complete scenario filter set — path detail, trigger direction, waypoint score floor, projection length, retrace and retest ratios, snap tolerance. Plus every colour, label, meter and panel option.
🎯 Why this is different. Most liquidity tools show you one kind of level and attach a fabricated probability to it. This one tracks both kinds — the voids and the walls — scores them on one honest scale, merges them where they agree, then projects a route through them and tells you which parts of that route are real. Then it grades its own zones against history and shows you the fill rate, the sweep rate, and the reaction rate, with the raw counts, including when the sample is too thin to trust.
🧭 How to trade it. Read the panel before the chart. The net-pull meter tells you which side the field is leaning. The TOP ZONES slide tells you which levels have actually earned attention. Treat the scenario trigger as where liquidity gets taken and the target as the logical objective — and check the anchoring row first. A solid, snapped path into a high-scored target is a clean roadmap. A hollow TARGET (projected) vertex means the market has no graded level behind that move, and you should size accordingly. Cross-check the STATISTICS slide for your symbol: if gaps on your instrument fill 38% of the time, trade them like a 38% event.
⚠️ Important. This is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Everything it displays is descriptive of current zone strength, real distance, and measured historical behaviour. Path Confidence is a read on the quality of the levels involved, not a forecast of price. Volume-pressure figures are geometric estimates, not tick data. Historical rates describe what has happened on the loaded chart and do not predict what will happen next; thin samples are flagged for exactly that reason. Behaviour varies by symbol, timeframe, and configuration. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Ineficient market
The setup
The 1-2-3 pattern (price-structure reversal, in the Joe Ross / Zeiierman lineage) marks three alternating pivots: an extreme, a pullback, and a second extreme that fails to exceed the first — a Higher-Low for longs, a Lower-High for shorts. Entry fires on confirmation of the 3rd pivot (no waiting for a breakout, which cuts lag). On top of that sits a volatility gate: signals only trigger when relative volatility is compressed (ATR% ≤ its own moving average). Trades resolve on a small fixed TP, a wide SL, and a time-stop.
The inefficiency
This isn't about "predicting direction" — direction is free and doesn't pay. The edge is a short-term overreaction at structure pivots: after price prints a failed extreme, it tends to give back a small, fast fraction of the move. In compressed volatility that give-back is more reliable and less noisy. The edge is statistical and regime-conditional — not a silver bullet.
Why the exit looks "wrong" (and why that's the whole point)
The counterintuitive part: small TP + wide SL + no trailing, no break-even, no touching the trade. We tested active management extensively (move to BE, trailing, tight stops at the "normal MAE") and every version destroys the edge — because 1–3% adverse excursion is normal even on winners, and any tight stop sits exactly where noise wanders. Holding through that swing is what captures the reversion. It's fire-and-forget by design, not by laziness.
How we found it (the differentiator)
This wasn't reverse-engineered from a pretty chart. It survived:
- Random-matched placebo — the same exit engine fired on random bars vs. the real signal, proving the edge lives in the signal, not the short TP.
- Path-dependent backtesting — simulating the exact order of intra-trade events, not aggregate stats (which mislead).
- Conditional MAE analysis — measuring how win probability decays as a trade digs, which set the wide SL and killed the temptation of tight stops.
Inputs: prd (pivot lookback) · ATR ratio max (volatility gate) · TP % · SL % · time-stop · direction (long/short).
Disclaimer: For research/education, not financial advice. Past performance does not guarantee future results. The edge is conditional on regime and costs — test with your own commission/slippage before any live use. Strategy
Opening Delta Supply Demand HybridOpening Delta Supply Demand Hybrid
This indicator combines Daily Supply and Demand zones, LVN confluence, Money Flow high-trade zones, and Opening Delta dominance pressure.
It detects important supply and demand areas from daily price and volume behavior. The zones stay active until price fully breaks them with a candle close. A supply zone is invalidated only when price closes above it, and a demand zone is invalidated only when price closes below it.
The Opening Delta model measures buyer and seller pressure from the session open. It tracks delta strength, dominance, RVOL, candle quality, superior delta, and dominance flips. If real volume delta is unavailable or returns zero, the indicator can use a candle-volume fallback to keep signals working.
BUY signals appear when price rejects a demand zone and Opening Delta confirms buyer strength. SELL signals appear when price rejects a supply zone and Opening Delta confirms seller strength. The indicator blocks signals when the global strength favors the opposite side.
It also includes a Money Flow High Trade Zone, which highlights the price area with the highest money flow activity from the daily profile.
Main features:
Daily Supply and Demand zones
LVN confluence
Money Flow high-trade zone
Opening Delta buyer/seller pressure
Dominance strength table
BUY and SELL confirmation arrows
Alerts for hybrid signals and delta conditions
Configurable filters for stricter or more aggressive signals
How To Use
Add the indicator to your chart and choose the market/session you trade.
Set the session start time to match your market open.
For example, US index futures usually use 9:30 New York time for the cash open.
Watch the supply and demand zones:
Demand zones are potential bounce areas.
Supply zones are potential rejection areas.
Zones remain active until price fully breaks them with a candle close.
Use the Opening Delta table to read market control:
BUYERS means buyer pressure is stronger.
SELLERS means seller pressure is stronger.
BALANCED means there is no clear dominance.
Look for confirmed signals:
A BUY signal appears when price rejects a demand zone and buyer pressure confirms the bounce.
A SELL signal appears when price rejects a supply zone and seller pressure confirms the rejection.
Avoid trading against the strength:
If price touches demand but strength favors sellers, the indicator blocks the BUY signal.
If price touches supply but strength favors buyers, the indicator blocks the SELL signal.
Use the Money Flow High Trade Zone as an important reaction area.
This zone shows where the highest money flow activity occurred in the daily profile.
Adjust the filters:
Use stricter settings for fewer but stronger signals.
Disable some confirmations for more aggressive signals.
Lower the cooldown if you want more frequent arrows.
Basic Rule
Buy only when price reacts from demand and Opening Delta supports buyers.
Sell only when price reacts from supply and Opening Delta supports sellers. Indicator
Edo Order BlocksEdo Order Blocks — Displacement-Detected Order Blocks Scored 0-100, with Active / Tested / Mitigated States and a Strongest-Block Panel
An order block is the last opposite candle before an impulse that breaks away from a level — the last bearish candle before a sharp move up, or the last bullish candle before a sharp move down. In the Smart Money Concepts approach, that candle marks a zone where institutional activity was left unfilled, so when price returns to it, it becomes a natural reference of supply or demand. The problem with most order block tools is that they draw every zone, cluttering the chart with references that never mattered. Edo Order Blocks takes the opposite approach: it scores each zone and draws only the ones that earn it.
Edo Order Blocks detects order blocks by displacement, scores each one from 0 to 100 on objective quality factors, filters out the weak ones, and tracks every surviving zone through its full life — from Active to Tested to Mitigated. Everything is validated on closed bars, so the indicator does not repaint. It is the order-block specialist of the Edolab structure family, designed to pair with Edo Smart Money Map, which maps the BOS / CHoCH structure around these zones.
DISPLACEMENT DETECTION
A new order block is triggered by a displacement: a confirmed candle that closes beyond the highest high (bullish) or lowest low (bearish) of the last N bars, in the direction of its own body. The Displacement Lookback input (10 by default) sets how many bars define that range. This impulse-based trigger captures the moment price breaks away with conviction, which is precisely when an order block is left behind. From the impulse, the indicator looks back up to the Origin Lookback (15 by default) to find the last opposite candle — the origin of the move — and draws the zone between its high and low.
THE QUALITY SCORE
Every candidate order block is scored from 0 to 100 before it is drawn, combining four objective factors: body strength (the candle's body relative to ATR), volume strength (volume relative to its 20-period average), displacement strength (how far the close pushed beyond the range, in ATR units), and trend alignment (whether the block sits on the right side of the EMA 50). Body and volume weigh 30% each, displacement and trend alignment 20% each. The Minimum Score input (40 by default) acts as a filter: only blocks that score at or above it ever reach the chart. Raise it to keep only the highest-conviction zones; lower it to see more. The score is printed on each block's label, so its quality is visible at a glance.
ORDER BLOCKS AND THEIR LIFE
Each drawn zone is a box between the high and low of the origin candle, labelled Bull OB or Bear OB with its score, extended to the right as a live reference. To keep the chart clean, only the most recent blocks per side are kept, up to Max Order Blocks per side (8 by default); older ones are removed as new ones appear.
THREE STATES: ACTIVE, TESTED, MITIGATED
Unlike a simple active/used flag, Edo Order Blocks tracks three states, evaluated on every closed bar. Active: a fresh zone price has not touched since creation — a solid box extending to the right. Tested: price has tapped the zone but not closed through it — the border turns solid and bold, marking that the zone has been challenged and held. Mitigated: price has closed through the zone — the box turns dashed, fades and stops extending, recording that the zone has been consumed. The Touch Mode input decides what counts as a test: Wick (default) marks it as soon as a wick reaches the zone, while Close requires a candle to close inside it. A bullish block is mitigated when price closes below its base; a bearish block, when price closes above its top. Each transition fires its own alert.
INFORMATION PANEL
The panel condenses the read into a compact table. It shows the number of active order blocks on each side, the Strongest OB — the highest-scoring active block, with its side, score and price level — and the active Minimum Score filter. The Strongest OB row is the quickest way to find the single zone the indicator rates highest right now. The panel sits in any of the four chart corners (Top Right by default), comes in three sizes (Tiny / Small / Normal) and two themes (Dark / Light), and can be hidden entirely.
NO REPAINTING
Displacement is validated on closed bars only, using the highest/lowest of completed candles offset by one bar, so a zone never appears or disappears intrabar. A wick that pierces a level but closes back inside generates nothing — the indicator waits for the close. This removes the false zones that clutter tools which react instantly, at the cost of confirming each block once the impulse has completed. There are no higher-timeframe functions: all logic runs on the current chart timeframe.
CONFIGURATION
The inputs are grouped by block. Detection sets the displacement lookback, the origin lookback and the minimum score. Order Blocks sets the maximum per side and the touch mode (Wick / Close). Style exposes the bull and bear colours, the zone opacity, whether the score is shown on the label, the label size and the Dark/Light theme. Panel controls panel visibility, position and size. The defaults are calibrated to work without adjustment on stocks, crypto, forex, indices and futures, on any timeframe — the only input most users tune is the Minimum Score, to make the indicator more or less selective.
ALERTS
Six predefined alerts cover the full life of a zone: New Bull OB and New Bear OB fire when a fresh order block above the score threshold is created; Bull OB Tested and Bear OB Tested fire when price first taps a zone; and Bull OB Mitigated and Bear OB Mitigated fire when price closes through a zone and consumes it. The new-block alerts flag fresh references, the tested alerts fire exactly when a zone is challenged, and the mitigation alerts mark when a reference is spent. All alerts fire on bar close, consistent with the indicator's anti-repaint validation.
HOW TO READ IT
A clean reading uses the score and the states together. High-score zones are the references worth watching: a Bull OB scored 80 sits on a strong-bodied, high-volume, trend-aligned impulse, a far more reliable demand zone than one scored 45. Watch the Active-to-Tested transition: when price returns to an active block and taps it, the zone is being challenged — the bold border marks the moment of reaction. A Tested block that holds and sends price away keeps its relevance; a Mitigated one has been consumed and steps aside. The Strongest OB panel row points to the single best active zone at any time, and pairing Edo Order Blocks with Edo Smart Money Map places these scored zones inside the broader BOS / CHoCH structure for full context.
OPEN SOURCE
Edo Order Blocks is published as a free open source indicator. The full Pine Script is publicly accessible on PulseWire for study, adaptation and integration into any workflow. Part of the Edolab Markets free tools ecosystem alongside Edo Smart Money Map, Edo Liquidity Zones, Edo ZigZag Auto Fib SR, Edo Multi Stoch and more available on PulseWire.
This indicator is a technical analysis tool for educational and informational purposes only. It does not generate automatic buy or sell signals and should not be considered financial advice. Trading financial markets involves significant risk of capital loss. Past performance does not guarantee future results. Always use proper risk management.
Indicator
Indicator
