NQ/MNQ 1-Minute Scalping ToolkitThe Máximo NQ/MNQ 1-Minute Scalping Toolkit is an intraday overlay designed to help traders analyze liquidity, volume-driven price reactions, and important session levels on Nasdaq futures.
The indicator combines several forms of short-term market context in a single chart. It is designed primarily for the 1-minute NQ and MNQ charts, although it may also be used on other intraday timeframes.
Main features
Volume-based buy and sell zones: Identifies areas where elevated volume and candle dominance may indicate aggressive buying or selling.
Active and destroyed zones: Extends relevant zones forward and can retain invalidated zones for historical context.
Volume bubbles: Highlights significant buyer or seller candles and displays their estimated notional value.
Repeated wick levels: Detects consecutive wicks near the same price, identifying potential support, resistance, or liquidity areas.
Session opening ranges: Displays the 15-minute opening-range high, low, and opening price for the Asia, London, and New York sessions.
Previous-day levels: Shows the previous day’s high and low during the current trading day.
VWAP: Provides an intraday benchmark for price location and mean-reversion context.
Customizable EMAs: Includes configurable fast and slow exponential moving averages, set to 9 and 21 by default.
Adjustable display window: Allows users to control how many hours of historical insights remain visible.
Suggested use
The toolkit is intended to provide context rather than standalone entry signals. Traders can look for confluence between:
Buy or sell zones
Opening-range levels
Previous-day highs and lows
Repeated wick levels
VWAP and EMA positioning
Elevated-volume candles
For example, a volume-based buy zone forming near VWAP or a previous-day low may deserve additional attention. Likewise, a sell zone near an opening-range high or repeated upper-wick level may indicate potential resistance. Indicador
Fair Value Gap (FVG) Statistics with Placebo Control█ OVERVIEW
On the same instrument, measured against a 50% baseline, fair value gaps looked significantly profitable in one period and significantly unprofitable in another. Both readings were artifacts of a baseline that was never 50%.
This indicator measures what actually happens after price returns to a gap, then compares the result against fake, or placebo, zones of the same size placed at bars where no gap occurred. Because a hit rate tells you nothing until you know what a meaningless zone scores on the same chart.
The following description consists of two parts. Part 1 is written in plain English and covers everything most readers need. Part 2 contains the full methodology and results for anyone who wants to examine the numbers in detail.
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PART 1 — WHAT THIS IS AND WHY
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█ THE PROBLEM
Zone-based tools are everywhere: fair value gaps, order blocks, breakers, imbalances. Yet almost none of them tell you how often a zone actually led anywhere. And when a number is quoted, it is often built on one of three flawed foundations.
1. The zone is counted before it could have been known.
This problem is easiest to see with order blocks. An order block is commonly defined as the last opposite candle before a move that breaks structure. That means the block cannot be identified until the structure break occurs, often several bars later. Yet it is drawn back on the earlier candle as though it had been known at the time.
Any hit rate measured from that earlier candle therefore counts a zone that nobody could actually have traded.
Fair value gaps suffer less from this problem because their three-bar pattern completes quickly, but the same principle applies: a zone becomes active only when it becomes knowable, and nothing before that bar should be counted.
2. Failed zones disappear.
Many tools remove a zone from the chart once price has passed through it. That makes sense for keeping a chart clean. It is disastrous for statistics, because the zones being removed are disproportionately the ones that failed.
Count only what remains on the chart and you are counting the survivors.
3. The hit rate is compared with 50%.
This is the most important problem, and it is extremely common.
The reasoning seems straightforward: if the target and stop are equally far from the entry, then no edge should mean a 50/50 outcome.
But a rule that enters when price reaches a level inherits a baseline from the way price moves. That baseline is not necessarily 50%. It changes with the instrument, direction, and market conditions. Across the three markets tested here, it ranged from roughly 45% to 55%.
A hit rate by itself therefore tells you very little.
What matters is how the same measurement performs on zones that have no informational meaning at all.
█ WHAT THIS INDICATOR DOES
For every real fair value gap the indicator identifies, it also generates placebo zones of the same height, direction, and distance from price, anchored at bars where no fair value gap occurred.
Real and placebo zones are then measured by exactly the same rules.
The difference between them — real minus placebo — is the result that matters.
If real gaps perform like the placebo zones, then the pattern is not adding anything, regardless of how attractive the raw hit rate may look.
The placebo comparison does not ask whether fair value gaps win more than 50% of the time.
It asks a harder question:
Do fair value gaps perform better than comparable zones that carry no fair value gap information at all?
█ HOW THE COMPARISON IS KEPT FAIR
Statistical libraries for Pine already exist, and many indicators will draw fair value gaps. What is not otherwise available is a matched control built into the measurement itself, so that every figure the indicator reports arrives together with the baseline it should be judged against.
Three design choices make that possible, and they only work together.
A matched placebo control. Each placebo zone has the same height, the same direction, and the same distance from price as the real zone it is meant to compare with. Both are scored by identical rules.
Confirmation-honest timing. A zone enters the sample only when it becomes knowable, never earlier. Every confirmed zone remains in the sample from that point onward, including zones that fail immediately.
Bias controls that are reported rather than hidden. Cases that are genuinely difficult to score — such as bars that touch both exits and trades that never resolve — are counted and displayed for real and placebo zones side by side. Ambiguous cases are treated conservatively rather than silently discarded.
The combination matters. A matched control is useful only if both sides are measured under the same timing and scoring rules.
█ WHAT THE TESTS FOUND
Across three asset classes, three timeframes, and two separate periods — fourteen measurements in total — fair value gaps showed no detectable advantage over size-matched zones placed at meaningless bars.
The difference remained below about one percentage point of hit rate, and none of the fourteen individual measurements reached conventional statistical significance.
That is a bound on what was observed, not a claim that the true effect is exactly zero.
A different market or a different period could produce a different result. That is precisely why the comparison is built into the tool rather than left as an assumption or a footnote.
The broader conclusion is more useful:
A hit rate quoted without its baseline does not tell you whether something works. On the same instrument, measured against 50%, this pattern looked significantly profitable in one period and significantly unprofitable in another. Both readings were created by the baseline, not by the gaps.
That lesson applies to zone-based tools generally, not only to fair value gaps.
If you take one thing from this script, take that.
█ HOW IT WAS TESTED
A single result on a single chart is easy to produce and easy to overinterpret. Before publication, the same measurement was therefore repeated while changing one assumption at a time.
Three asset classes — crypto, currencies, and equity index futures
Three timeframes — 5 minutes, 30 minutes, and 1 hour
Two separate, non-overlapping time periods
Three different target and stop distances
Two different limits on how long a trade could remain open
Each of these choices is partly arbitrary. If a finding appears only under one particular setting, it may belong to the setting rather than to the market.
Fourteen separate measurements were made in total.
Two standard statistical tools are used. A confidence interval shows the range in which the underlying value plausibly lies, which is more informative than a single headline estimate. Results from independent markets are also combined so that their evidence can be considered together rather than one chart at a time.
The measurement procedure was additionally checked against artificial data for which the correct answer was known in advance. This allowed the method itself to be tested independently of any market result.
█ HOW TO READ AND USE THE INDICATOR
Add the indicator to any chart. It works on any symbol and any timeframe and needs no configuration to produce a result.
The panel
By default, the panel shows a compact view: the number of zones found, the number revisited by price, the hit rate with its confidence interval, the placebo baseline, and the difference between real and placebo.
Turn off Compact panel for the full breakdown: wins, losses, unresolved cases, the direction split, and side-by-side rates for the cases that are hardest to score.
Everything used to produce the headline result is available for inspection.
Reading the result
Check the sample size first. Below roughly 1000 resolved zones, the confidence interval is usually too wide to conclude much. Recognizing that the sample is inconclusive is a valid result, not a failure of the indicator. Lower timeframes and longer histories both increase the sample.
Then read real − placebo . That is the headline result.
A positive number means the gaps outperformed the placebo zones. A negative number means they underperformed them.
The z-score beside it indicates how far the observed difference sits from what chance alone can produce. As a rough guide, an absolute z-score below 2 is not conventionally distinguishable from noise.
The raw hit rate is shown for context, not as the answer. Judging the pattern from that number alone is the mistake this indicator is designed to expose.
Setting up a measurement
To measure a specific period, turn on Limit to date range and set the dates.
The panel reports the sample actually achieved. This can be shorter than the requested period if the chart has not loaded enough historical data, so scroll left when necessary to load more history.
To check whether a result depends on your choice of exits, change Barrier size and run the measurement again. A finding that appears only at one setting may belong to the setting rather than to the pattern.
As a chart indicator
Zones are drawn as they form and can also be used in the usual visual way.
A zone that price has not yet returned to is drawn solid and continues extending to the right while it remains open.
When price reaches the zone, the box stops extending and fades to a dotted outline. The width of a completed box therefore shows how long that gap survived before price returned to it, while the chart makes it easy to see which zones remain active.
Turning off Draw real zones leaves only the statistics panel.
█ SETTINGS
Measurement — Risk unit selects whether exit distance scales with ATR or with the zone's own height. Barrier size sets that distance. Time limit controls how many bars a trade may remain open before being recorded as unresolved.
Entry price and Evaluate exits on the entry bar provide alternative scoring conventions so their effect can be measured rather than assumed. Both are labeled where they introduce a known bias.
Minimum zone height filters out small gaps. Exclude overlapping zones and Overlap lookback prevent several gaps created by the same move from being treated as independent observations.
Sample — restricts the measurement to a date range, entered as year, month, and day so the sample remains reproducible.
Placebo control — Placebos per zone sets how many comparison zones each real zone generates; more placebos produce a tighter estimate of the baseline. Placebo offset controls how far from the original bar the comparison zones are anchored.
Validation — replaces market price with a random walk so the measurement can be checked against data whose correct answer is known in advance rather than only against real markets.
Display — Compact panel shows the headline rows only; turning it off reveals the full breakdown. Draw real zones toggles the boxes on the chart.
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PART 2 — DETAILED ANALYSIS
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█ HOW A ZONE IS SCORED
A gap becomes active on the bar after its three-bar pattern closes. From that point onward, every confirmed zone remains in the sample, including zones that fail immediately.
When price returns to a zone, the entry is recorded at that bar's close , not at the zone edge.
This matters more than it may appear.
A touch condition means that price reached or passed the edge, so the bar may have overshot it by an unknown amount. Assuming a fill at the edge while beginning the measurement only from the following bar would start the trade from an artificial price and can systematically distort the result.
Two exits are then placed at equal distances on either side of the entry. Because the exits are symmetric, real and placebo zones can be compared directly.
If one bar touches both exits, its open, high, low, and close do not reveal which level was reached first. Those cases are shown separately and counted as losses, making the published result the conservative one.
Zones that reach neither exit within the time limit are excluded from the hit-rate calculation. They did not resolve, so they provide no evidence for either outcome.
█ RESULTS
Results below use the following settings. The sample ends 1 August 2026.
SETTING VALUE
Risk unit (R) ATR(14) at confirmation
Barrier 2.0 R each side
Time limit 100 bars after entry
Entry close of the touch bar
Overlapping zones excluded
Placebos per zone 3
Three markets, 30-minute charts, 2025-01-01 to 2026-08-01:
INSTRUMENT RAW NAIVE z PLACEBO REAL-PLAC
BTCUSDT 49.5% -0.67 49.0% +0.5
EURUSD 51.4% +1.65 51.7% -0.2
ES1! 49.2% -0.92 49.9% -0.7
POOLED -0.04
The panel on the chart above is not restricted to that fixed window — it runs to the most recent bar — so its figures differ slightly from the table. That is expected: it is a different sample, not a different result.
Read the raw column alone and the markets appear different: 49.5% for crypto versus 51.4% for currencies, a spread of 1.9 percentage points.
Now look at the placebo column. Its spread is 2.7 points.
The apparent difference between markets is therefore better explained by the baseline than by the fair value gaps themselves.
One example makes the problem especially clear:
BTCUSDT, 1 hour, calendar year 2024
Raw hit rate 54.0% (n = 1390)
Naive z vs 50% +2.95 "significant"
Placebo baseline 51.5%
Real minus placebo +2.5% z 1.49, not sig.
Against an assumed 50% baseline, a 54% hit rate gives a p-value near 0.003 — exactly the kind of number that can look compelling when published in isolation.
Against its observed control baseline, however, the evidence is not statistically significant.
The same indicator, on the same instrument, over a different period and with a tighter target, produced a raw hit rate of 48.4% with a z-score of -2.25 — apparently significant in the opposite direction.
Both apparent conclusions arise from comparing with an assumed 50% baseline rather than the observed control baseline.
█ ROBUSTNESS
DIMENSION TESTED RESULT
Barrier size 1R / 2R / 3R no change
Time limit 50 / 100 bars no change
Asset class crypto / FX / index no change
Timeframe 5m / 30m / 1h no change
Period 2024 / 2025-26 no change
Across fourteen separate estimates of real minus placebo, the largest result was 1.49 standard errors from zero.
With fourteen estimates, even if the true effect were zero, the largest absolute result would be expected to reach roughly 1.9 standard errors by chance alone.
Pooled across three independent markets, the estimate was -0.04 percentage points, with a 95% interval of approximately -1.2 to +1.1 points.
█ LIMITATIONS
One symbol and one timeframe can be analyzed per chart. Pine cannot pool results across markets, so each chart represents one sample rather than proof by itself. The pooled figures reported above were combined separately.
Trading costs are not included. Entries assume execution at the bar close with no spread, commission, or slippage. Real-world trading costs would make absolute performance worse.
Ambiguous bars are counted as losses. This lowers both real and placebo hit rates by roughly the ambiguous-case rate and therefore tends to cancel when the difference between them is calculated.
The bull and bear rows should not be interpreted independently in a trending market.
The placebo control matches zone size, direction, and distance from price, but it cannot match the fact that a real gap forms immediately after a strong move in the same direction.
For example, in an uptrend, a fake bearish zone is more likely to be run over by the prevailing trend, whereas a real bearish gap can only form after an actual downward move. These effects work in opposite directions and largely cancel in the combined result.
For that reason, the total should be treated as the primary statistic rather than the directional split.
This limitation was identified during testing and is the main known weakness of the methodology.
Finally, all results come from a sample. Another market or another period may produce a different estimate. That uncertainty is the reason the placebo comparison is built into the indicator rather than assumed away.
█ METHOD AND PRIOR WORK
None of the statistics here are new, and it is worth being clear about that.
Assigning a treatment to units or moments where it did not actually occur, then checking that no effect appears, is a standard falsification test in causal inference, where it is usually called a placebo test. The placebo zones in this indicator are that idea applied to bars instead of subjects.
The trading application is not new either. David Aronson's Evidence-Based Technical Analysis (2006) argues that a rule should be judged against the returns of random entry signals rather than against zero, and uses Monte Carlo permutation and White's Reality Check to do it.
The scoring rule — a target, a stop, and a time limit, whichever is reached first — is the triple-barrier method described by Marcos López de Prado.
What this script adds is not the method but its availability. The control is generated and scored automatically alongside the real zones, on any chart and any symbol, so the baseline arrives together with the number instead of requiring a separate study that most people will never run.
█ OPEN SOURCE
The source is open. Every figure above can be reproduced — or shown to be wrong — by anyone who wants to check it.
Order blocks are next, measured by the same rule: from the bar that breaks structure, not from the earlier candle on which the block is drawn.
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SMC Analytics Pro Hey traders! 👋
Finding a clean, non-lagging Smart Money Concepts (SMC) indicator on TradingView can be frustrating. Most public scripts end up squishing your chart scale , lagging your browser, or cluttering your screen with hundreds of overlapping boxes. 😩
So I decided to code a complete, ultra-precise Smart Money Concepts engine in Pine Script v5—rebuilt from the ground up to keep your charts smooth, clean, and 100% accurate! 🚀✨
The Core Idea: Institutional trading isn't about guessing where price is going—it's about tracking where bank liquidity lives. This indicator maps out market structure, institutional order blocks, and imbalance gaps without crowding your price action.
🔥 Key Features That Make This Unique
Dual Structure Architecture: Automatically plots both Internal Structure (micro scalp breaks) and Swing Structure (macro trend breaks) so you never trade against the major market trend.
Structure-Triggered Order Blocks (OB): No more clutter! OBs are drawn only when a real Break of Structure (BOS) or Change of Character (CHoCH) occurs at the origin of the impulse move.
Real-Time Mitigation Engine: When price retraces and touches an Order Block or fills a Fair Value Gap (FVG), the zone automatically vanishes in Present Mode to keep your chart tidy.
Fixed Chart Scale Guarantee: Unlike other SMC scripts that distort your vertical price scale and make candles look flat, this indicator keeps your chart scaling perfectly proportioned on every single timeframe! 📈
Fair Value Gaps (FVG): Identifies genuine 3-candle imbalance gaps where big money stepped in with aggressive market orders.
Liquidity Pools (EQH / EQL): Highlights Equal Highs and Equal Lows where retail stop losses are sitting waiting to be swept.
Dynamic Equilibrium (50%) Level: Displays the exact 50% midpoint of the active swing range so you always know if you're buying in Discount or selling in Premium .
🛠️ How to Use This in Your Trading Setup
Identify the Macro Trend: Look for solid green/red BOS lines and check if swing points are making Higher Highs (HH) or Lower Lows (LL).
Wait for Price to Enter a Zone: Look for price to retrace back down into an unmitigated Bullish Order Block or fill a Bullish FVG below the Equilibrium (50%) line.
Look for Internal Confirmation: Drop down to a lower timeframe and wait for a dashed iBOS / CHoCH break in your direction before taking the trade! 🎯
⚡ Multi-Timeframe Compatibility
Whether you are scalping the 1-minute chart on CAPITALCOM:NAS100 , day trading Forex on the 15-minute, or swing trading Crypto on the Daily, the logic adapts dynamically to any market and timeframe! 🌍
Inputs can be customized in the settings panel—feel free to tweak the pivot lookbacks to match your personal trading style.
If you find this indicator helpful for your daily analysis, please hit the Boost button 🚀 and leave a comment below! Happy trading! 🙌 Indicador
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SMC Swing Structure + Order Blocks + CHoCH VolumeOrderBlock Radar — SMC Swing & Volume CHoCH
A Smart Money Concepts (SMC) toolkit that maps market structure and order blocks the way institutional order flow is typically read — without drowning your chart in noise from minor pivots.
What it does:
📊 Swing Structure (BOS / CHoCH) — Tracks the market's real trend using major swing highs and lows, not every small wiggle. A break with the trend is marked BOS (Break of Structure); a break against the trend is marked CHoCH (Change of Character) — the earliest, most reliable signal that momentum may be shifting.
📦 Order Blocks — Automatically plots the last opposing candle before each structural break — the classic "footprint" of where smart money likely entered before the move. Boxes extend forward and auto-delete once price mitigates them, so your chart only shows blocks that are still relevant.
🔊 Volume-Confirmed CHoCH — Not all character changes are equal. This indicator checks volume against its recent average at the moment of a CHoCH — when a break comes with a volume spike, it's tagged separately ("CHoCH ⚡Vol") and fires its own dedicated alert, helping you filter high-conviction reversals from low-volume fakeouts.
🔔 Built-in Alerts — Six alert conditions ready to go: bullish/bearish CHoCH, bullish/bearish CHoCH with volume confirmation, and bullish/bearish BOS. Set them once and get pinged the moment structure shifts.
Customizable settings:
Swing pivot sensitivity (how "major" a swing needs to be to count)
Optional internal (minor) structure overlay for extra context
Order block count limits, lookback range, and mitigation method (wick vs. close)
Volume average length and spike threshold
Full color and label control
How to use it: Best used as a structural context tool — combine CHoCH signals with your own entry confirmation (order block retest, FVG fill, liquidity sweep, etc.) rather than trading the label in isolation. Works on any timeframe and asset class; higher timeframes and liquid instruments tend to give the cleanest structure.
This is a technical analysis tool, not financial advice — always manage risk and confirm signals with your own strategy. Indicador
Market Structure with ATR trailing stop [EDGE]Market Structure with ATR trailing stop — Multi-Timeframe Structure + ATR Trailing Stop.
A precision market-structure tool that goes beyond a simple pivot indicator by combining SMC-style swing detection, multi-timeframe CHoCH/BOS tracking, and a school-standard ATR trailing stop — all adapted automatically to the chart timeframe.
How it works:
The indicator scans pivot highs and lows using an SMC-calibrated Length (automatically picked for the current timeframe or set manually). Each broken pivot is classified as CHoCH (character change, phase start) or BOS (continuation) using your chosen breakout method — Wick, Body, or 2-Close confirmation. The same logic is mirrored across D1, H4, H1 and M5 in a summary table, so you always see whether the higher timeframes agree with the current one.
What it calculates:
- Swing pivots with HH / HL / LH / LL classification (optional labels)
- CHoCH / BOS counter — "UP (C)", "UP (C+1)", "DOWN (C+2)" — showing phase maturity per timeframe
- Trend direction on D1 / H4 / H1 / M5 in one summary table
- ATR trailing stop with EMA basis and one-directional ratcheting
- Live ATR% with a dynamic percentile-based "normal range" window
- Distance to trailing stop in %
Key features:
- Auto Length by timeframe (SMC standard: M5 = 7, H1 = 15, H4 = 20, D1 = 30 …)
- Three breakout modes: Wick (early), Body (default), 2-Close (conservative)
- Auto ATR multiplier and EMA basis per timeframe — sourced from Raschke, Carter, Chandelier Exit, Minervini, Wilder and Weinstein school standards
- Multi-timeframe trend dashboard with CHoCH/BOS phase counter
- Dynamic ATR% range (percentile lookback) — instant read on whether volatility is normal, muted or hot
- Configurable trailing-stop history window (2 or 10 last ranges)
- Optional HH / HL / LH / LL swing labels
- Fully customizable up/down colors
- Built-in alerts: trend flip up, trend flip down, stop touch up, stop touch down
- Disabled on timeframes below 5M with an on-chart notice — the indicator is calibrated for 5M and above
Who it's for:
Traders who want a single, opinionated structure tool that reads the market the same way institutional and SMC playbooks do — with automatic parameters that respect every timeframe, a clean multi-TF dashboard, and a trailing stop built from real trading-school standards rather than arbitrary defaults. Indicador
MTF SMC / ICT Market State Engine# MTF SMC / ICT Market State & Reversal Dashboard
A multi-timeframe market-structure dashboard designed for traders using **Smart Money Concepts (SMC), ICT, liquidity and price-action analysis**.
The indicator combines structural information across **1D, 4H, 15M and 1M** into a single compact dashboard, helping traders identify the current **directional bias, market stage, liquidity condition and potential reversals** without having to manually compare multiple timeframes.
### What the Dashboard Shows
For each timeframe, the dashboard displays:
* **Bias** — Bullish, Bearish or Neutral
* **Structure** — HH/HL, LH/LL, BOS, MSS or CHOCH
* **Market Stage** — Accumulation, Liquidity Build, Manipulation, Confirmed Shift, Expansion, Retracement, Continuation, Exhaustion, Distribution or Reversal
* **Liquidity** — BSL, SSL, EQH, EQL and recently swept liquidity
* **Reversal State** — Normal, Reversal Warning, Reversal Developing or Confirmed Reversal
* **Structural Confidence** — Low, Medium or High
### Multi-Timeframe Bias
The indicator treats each timeframe according to its role in the market hierarchy:
**1D → Macro Bias**
**4H → Primary/Intraday Bias**
**15M → Setup & Market Structure**
**1M → Execution Structure**
This allows the indicator to distinguish between a genuine trend reversal and a simple lower-timeframe retracement.
For example:
**1D Bullish → 4H Bullish → 15M Bearish → 1M Bearish**
may be classified as:
> **HTF BULLISH / LTF RETRACEMENT**
rather than incorrectly changing the overall bias to bearish.
### Reversal Detection
The indicator does not treat every liquidity sweep or MSS as a confirmed reversal.
Reversal conditions progress through four stages:
**Normal → Reversal Warning → Reversal Developing → Confirmed Reversal**
A stronger reversal requires multiple structural factors such as:
* Liquidity sweep
* Displacement
* MSS/CHOCH
* Protected high/low violation
* Structural follow-through
This helps separate **liquidity manipulation and retracement** from an actual change in market structure.
### Market-State Engine
Rather than displaying disconnected SMC signals, the indicator interprets them as part of a market cycle:
**Accumulation → Liquidity Build → Manipulation → Confirmed Shift → Expansion → Retracement → Continuation → Exhaustion → Reversal**
The purpose is to answer four key questions:
> **What is the market direction?**
> **What stage is the market currently in?**
> **Where is the relevant liquidity?**
> **Is the market continuing, retracing or beginning a reversal?**
### Designed for SMC / ICT Traders
The indicator is intended as a **market-analysis and decision-support tool**, not an automatic trading system.
It does not attempt to predict future price or provide guaranteed buy/sell signals. Instead, it organizes multi-timeframe structural information into a clear framework so traders can make more consistent discretionary decisions.
**Primary workflow:**
**1D Bias → 4H Structure → 15M Setup → 1M Confirmation → Liquidity → Market Stage → Reversal Status**
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MTF Daily Bias DashboardOverview
The "MTF Daily Bias Dashboard" is a streamlined, non-intrusive utility designed specifically for Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies. Multi-timeframe analysis is the backbone of finding high-probability setups, but constantly switching between charts to check the higher-timeframe narrative can lead to missed lower-timeframe entries.
This indicator solves that problem by providing a clean, customizable on-chart dashboard that displays real-time, objective market bias across three different timeframes simultaneously.
Core Features
Objective Bias Detection: Bias is determined mechanically using a customizable Exponential Moving Average (EMA) and price action closes, removing emotion and guesswork from your directional bias.
Multi-Timeframe Synchronization: By default, it tracks the Daily (1D), 4-Hour (4H), and 15-Minute (15m) timeframes, giving you a complete top-down narrative at a glance.
Non-Repainting Logic: The multi-timeframe data is pulled securely, ensuring that historical signals remain accurate and current data does not repaint past the current candle formation.
Dynamic Visual Dashboard: A color-coded table (Green for Bullish, Red for Bearish) provides immediate visual confirmation of market alignment.
How It Works
The indicator evaluates the current price action against your chosen baseline (EMA).
Bullish (Green):Price closes above the EMA, and the current candle closes higher than the previous candle.
Bearish (Red): Price closes below the EMA, and the current candle closes lower than the previous candle.
Confluence: When all three timeframes show the same color, you have high-probability directional alignment, perfect for looking for lower-timeframe sweeps, order blocks, or fair value gaps in the direction of the trend.
Customization & Settings
Timeframes: Fully adjustable inputs allow you to change the three monitored timeframes to fit your specific trading model (e.g., Weekly/Daily/1H or 4H/1H/5m).
Dashboard Positioning: You can move the dashboard to any corner of your chart to ensure it never obstructs current price action.
Trend Logic: Adjust the EMA length used to calculate the bias to make the indicator more or less sensitive to recent price action.
Who is this for?
This tool is ideal for SMC, ICT, and pure price action traders who rely on the daily narrative but execute on intraday timeframes. It keeps you aligned with the macro trend while you focus on micro executions. Indicador
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GEEN Smart Signal What it does
GEEN Smart Signal is not a single-indicator tool. It combines several classic analysis engines into one weighted Decision Engine that scores every trade candidate from 0 to 100, then only prints signals that pass a minimum confidence threshold. Every signal comes with a full breakdown showing exactly why it was accepted.
How it works
A signal candidate is generated by an ATR trailing-stop flip (with optional Heikin Ashi smoothing of the calculation source). The candidate is then evaluated by 8 engines, each contributing a weighted score:
Market Structure (20 pts) — pivot-based HH/HL/LH/LL classification, BOS and CHoCH detection
Trend (20 pts) — EMA 50/100/200 stack, classified into 5 states from strong bullish to strong bearish
Momentum (15 pts) — RSI position + ADX strength, used as confirmation only
Volume (15 pts) — current volume vs. 20-bar average, rewarding volume spikes
Liquidity (10 pts) — liquidity sweeps of prior swings, price inside a Demand/Supply zone or FVG, and Premium/Discount location vs. equilibrium
Volatility (10 pts) — ATR vs. its average, filtering out dead markets
Multi-Timeframe (10 pts) — 1H/4H/D trend alignment (closed-bar data only)
Risk (10 pts) — estimated reward-to-risk toward the nearest opposing swing
The total is normalized to 100. Below the minimum threshold (default 60) the signal is rejected (WAIT). 60–75 prints as weak, 75–85 as good, above 85 as strong. Clicking any signal arrow shows the per-engine score breakdown, entry, ATR stop, and 1R/2R/3R targets.
Chart elements
Structure labels (HH/HL/LH/LL, BOS, CHoCH), auto Order Blocks with mitigation removal, Fair Value Gaps, Equal Highs/Lows (EQH/EQL), session Kill Zones (Asia/London/New York, with an optional session filter), a main panel (decision, confidence, trend, momentum, risk, entry/SL/TP, RR, 5-timeframe view, active session, SMT check vs. a correlated symbol), and a monthly statistics panel that tracks how many signals reached TP1/TP2/TP3 or hit the stop — so you can measure performance yourself on any symbol and timeframe.
Anti-repaint design
Signals are confirmed on bar close only, higher-timeframe data uses closed bars with lookahead off, and structure breaks are evaluated on confirmed closes.
How to use
Works on any symbol and timeframe. Start with defaults, or raise the minimum confidence and enable the London/New York session filter for intraday trading. Alerts are included for buy/sell and for strong (85+) signals. This tool is for educational purposes and is not financial advice; no indicator guarantees results — always use proper risk management. Indicador
Strong MTF Liquidity Matrix | ProjectSyndicateStrong MTF Liquidity Matrix
Strong MTF Liquidity Matrix puts four higher-timeframe charts on one screen and reads the same institutional map on every one of them — order blocks, fair value gaps, and resting liquidity — then ranks each zone by strength so you know which level actually matters. It's a command deck: your main chart stays clean while four live mini-panels track the structure above you, and the liquidity pools that price is really hunting sit directly on your candles.
Most multi-timeframe tools make you flip between charts. This one stops the flipping.
🔲 Four-Panel MTF Engine — the core. Four independent mini-charts render right on your pane — M30 · H1 · H2 · H4 by default, each one fully configurable to any timeframe (drop to seconds or push to Daily). Every panel fetches its own higher-timeframe candles, keyed on the HTF bar's own time, so the zones are invariant to your master chart timeframe — switch your main chart from M30 to H1 to D1 and the panels don't move. The last candle in each panel tracks the live, forming HTF bar tick by tick.
🟩 Order Block Detection — real ICT logic, per timeframe. Each panel runs a swing-pivot + displacement scan: the last opposing candle before an impulsive move that clears your displacement multiple becomes the order block. Bull OBs from swing-low reversals, bear OBs from swing-high reversals — detected natively on every one of the four timeframes at once.
🟥 Fair Value Gap Detection — the imbalance map. True three-candle FVGs on each timeframe, with an optional ATR gap filter so only gaps worth trading survive. Bullish and bearish gaps rendered in the original green/red palette, distinct from the order blocks, on all four panels simultaneously.
🧲 Universal Zone Height — the accuracy differentiator. Raw OB/FVG zones come in wildly different sizes and clutter the read. Every zone is normalized to one clean height — ATR-based or a fixed percentage of price — so the panels stay legible and every zone carries equal visual weight. Fair value framed; noise removed.
🔢 0–10 Strength Ranking — the power-ranking. Every zone earns a live grade, printed inside the shaded box (OB 8.5, FVG 6.0). Order blocks score on displacement force, zone height and age; fair value gaps score on gap size versus ATR. Set a minimum strength floor and the weak zones simply don't draw — only the levels that earned attention survive.
🌊 Liquidity Heatmap — resting pools on your main chart. Buy-side and sell-side liquidity, seeded from fractal swing highs and lows across two pivot passes, drawn as heat-weighted boxes whose opacity scales with liquidity weight (volume × range). Strong pools glow, weak ones stay faint. When price trades through a pool it's consumed — the zone freezes and fades to show exactly what's already been taken. Colours locked 100% to the OB/FVG palette: buy-side green, sell-side red.
🏷️ Clean Liquidity Labels — above the zone, never in the way. Each resting pool is tagged with its side (BSL/SSL), price, weight and distance from current price — anchored above the zone at its left edge so labels never overlap the fills and never protrude past the level. Read the map without the mess.
🧹 Clean-Chart Discipline — dashboard off by default. No stat panel competing with price. The liquidity dashboard exists — nearest SSL/BSL, hottest level, pool counts, consumed tally — but it's switched off out of the box. Turn it on only if you want it.
🎨 Fully Themed & Configurable. Neutral-gray candles that let the coloured zones pop, custom OB/FVG/liquidity colours, panel size and spacing, right-offset from live price, 2× timeframe labels, per-panel OB/FVG toggles, adjustable swing length, displacement, mitigation type (Touch / Full Fill / 50% Fill), gap filter, zone-height method, strength floor, pivot lengths, heat contrast, pool extension and cap.
🔒 Honest, Non-Repainting Core. Panel history is built from confirmed higher-timeframe bars only; the live forming candle refreshes as it builds — inherent to showing a real-time HTF candle, not a defect — while every closed bar is fixed. Liquidity pools consume on confirmed interaction and don't un-consume to flatter the chart. The 0–10 strength score is a descriptive ranking framework for directing attention, not a backtested edge.
🔔 Native Alerts — new sell-side pool and new buy-side pool formation.
🎯 Why this is different. MTF tools make you tab between charts and reconcile the structure in your head. Profile tools show you liquidity and leave the map disconnected from your entries. Strong MTF Liquidity Matrix holds all four higher timeframes in view at once, marks the order blocks and fair value gaps on every one of them, grades each so you know which to trust, and lays the liquidity price is actually hunting directly on your candles — so you read where structure sits, how strong it is, and where price is being pulled, at a glance.
🚀 Apply to Gold (XAUUSD), Silver, Forex, Crypto, Indices and Futures on any timeframe (liquidity heat requires a volume-bearing symbol).
💡 Cleanest setup: give the four panels room — nudge Right Offset and the panels sit clear of live price to the right, while liquidity zones map onto the candles on the left.
🎯 How To Trade It — Two Approaches
Everything hinges on one read the Matrix gives you at a glance: is higher-timeframe structure lining up, and is price being pulled toward unfilled liquidity?
◾ 1) Trade into confluence toward liquidity (the core thesis)
Use when a high-strength zone on a higher panel lines up with a resting liquidity pool in the same direction.
▪️ Scan the four panels for a strong OB or FVG (7+) on H1/H2/H4 sitting where price is heading.
▪️ Confirm a naked liquidity pool (BSL below / SSL above) as the magnet — the untested pools are where price is drawn.
▪️ Entry: as price reaches the higher-timeframe zone, in the direction of the unfilled liquidity beyond it.
▪️ Stop: beyond the zone; if price closes through and accepts, the level failed — stand aside.
▪️ Target: the nearest resting pool in your direction; the opposite-side pool if the move extends.
⚖️ The cleanest version: H1 and H2 panels both print a strong bull OB at the same area, a fat buy-side pool sits just below unconsumed, and the M30 panel shows price rotating down into it. Structure, strength and liquidity all point the same way. That confluence is the exact setup this tool was built to frame.
◾ 2) Stand down — the map says wait
The Matrix also tells you when there's nothing to do.
▪️ Panels disagree — a bull OB on H1 against a bear FVG on H4 is conflict, not confluence. Wait for alignment.
▪️ Liquidity already consumed on your side — the magnet's gone; the pull is spent.
▪️ No strong zone in range — low scores everywhere means no level worth risking on. Let it develop.
Rule of thumb: ⭐ Aligned high-strength zones + an unfilled pool in the same direction → trade into the confluence toward the liquidity. ⭐ Conflicting panels, consumed pools, or weak scores → stand down until the map agrees.
⚠️ IMPORTANT NOTICE: Strong MTF Liquidity Matrix is a structure-and-liquidity mapping tool. Order blocks, fair value gaps and liquidity pools are drawn from swing-pivot and gap logic — a model of institutional behaviour, not exchange order-book data. Liquidity weight is inferred from volume × range and requires a volume-bearing symbol. The 0–10 strength score is a descriptive ranking framework for directing attention — NOT a backtested signal and NOT a standalone trade trigger. Trading into higher-timeframe structure still carries real risk of failed levels and stop-outs. Always combine it with your own strategy, price-action analysis and risk management. Past behaviour does not guarantee future results. Indicador
ICT NDOG & NWOG [D4A]NDWOG - New Day / Week Opening Gap
This script is based on popular open source script made by fadi .
How is this script different from the original:
- has additional option (set as default) to add one day to NDOG and NWOG, so the displayed gap date reflects the day when the gap is first utilized during London and NY sessions, as recommended numerous times by ICT himself (main reason for this fork)
- gap quadrants can be drawn if enabled and ATR based gap size is large enough (user customizable)
- more gap customization options have been added to help distinguish between the current and previous (historical) gaps
- gap date label format can be set according to your preference
- default settings are based on dark Trading View theme
- a few small bugs have been fixed
Overview
The script is designed for ICT traders operating mostly in the CME futures markets (NQ, MNQ, ES, and MES), but NWOG discovery works also in forex markets. The script automatically plots the opening gaps that serve as primary daily and weekly draw-on-liquidity levels.
- NDOG (New Day Opening Gap): Formed daily during the CME's 1-hour session break (5:00 PM to 6:00 PM ET), the NDOG captures the price difference between the 5:00 PM ET closing candle and the 6:00 PM ET opening candle. A new gap is created every weekday evening at 6:00 PM ET.
- NWOG (New Week Opening Gap): Created over the weekend between Friday’s 5:00 PM ET close and Sunday’s 6:00 PM ET market re-open. NWOGs are typically much wider than daily gaps, serving as macro liquidity targets for the entire trading week.
Every identified gap is displayed as a shaded range spanning its high and low extremes, bounded by horizontal levels at the top and bottom. It features middle line, known as C.E. (Consequent Encroachment) marking the 50% midpoint, optional quadrants and gap date label.
Within ICT methodology, opening gaps act as footprint markers for institutional orders. "Smart money" routinely targets these price imbalances; analyzing how price reacts—whether it bounces off the boundary, respects the midpoint, or closes the gap entirely helps traders gauge institutional sentiment.
Weekly & Daily Directional Bias
NWOG (Weekly Framework): Dictates the macro bias. Trading above the NWOG signals a bullish tone, whereas trading below implies a bearish outlook. The C.E. of the NWOG is a critical line as its clean rejection indicates trend continuation, while a strong break through the CE points to a full gap fill and signals potential trend reversal.
NDOG (Intraday Framework): Functions as the daily counterpart. Yesterday's NDOG highlights overnight institutional order flow shifts. Furthermore, multiple unfilled NDOGs from prior sessions act as magnetic liquidity pools during the London and NY Kill Zones.
SETTINGS
- NWOG - New Week Opening Gap - enable the display of NWOGs
- Current NWOG Fill/Border/C.E. - customize the current (the newest) weekly gap
- Previous NWOG Fill/Border/C.E. - customize all the previous weekly gaps (historical)
- Max NWOGs - select how many previous weekly gaps should be displayed on the chart
- Label - enable and customize gap date label
- NDOG - New Day Opening Gap - enable the display of NDOGs
- Hide Above - hide the daily gaps above specific timeframe
- Current NDOG Fill/Border/C.E. - customize the current (the newest) daily gap
- Previous NDOG Fill/Border/C.E. - customize all the previous daily gaps (historical)
- Max NDOGs - select how many previous daily gaps should be displayed on the chart
- Label - enable and customize gap date label
- Draw Quadrants (NDOG & NWOG) - draw quadrants in both daily and weekly gaps
- Threshold - the quadrants are drawn if they are bigger than this ATR threshold
- Only if Price Within the Gap - draw quadrants only if the price is currently inside of the gap. This option serves the purpose of minimizing chart clutter
- Add 1 day offset to date label - most similar scripts use by default the date of gap creation, however this script allows to increase the date by 1 day, thus adhering to ICT recommendations, so the displayed gap date is reflecting the first London and NY sessions after the gap has been created
- Date Format - customize the display of date
- Add left padding - it adds padding to the label, moving it more to the right
- Box Right 'Time Extension' - how far right should the NDOG/NWOG box be extended (time-based)
Note:
NDOG and NWOG created on the same weekend will overlap thus creating one box on the chart. You can still spot them by looking at their date labels: weekly gap labels are bigger and daily labels are smaller (based on script default settings).
The script should work on all timeframes, up to 1D.
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Disclaimer
The content provided in this script is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. Indicador
Indicador
Smart Market Structure & Liquidity Engine [SMC]Smart Market Structure and Liquidity Engine
Overview and Core Philosophy
The Smart Market Structure and Liquidity Engine is a comprehensive, non-repainting technical analysis framework engineered for price action traders, ICT or SMC enthusiasts, and market structure analysts.
Instead of relying on lagging indicators or noisy indicators, this script combines Adaptive Volatility Filtering (ADX and DMI), Market Structure Shifts (BOS and CHoCH), and Previous Day Equilibrium Logic to give traders a crystal-clear view of market context, institutional bias, and premium versus discount pricing.
Key Features and Technical Mechanics
1. Adaptive Trend Wave and Dynamic Consolidation Engine
Uptrend Expansion (Neon Green): Indicates strong bullish directional bias and institutional buying pressure.
Downtrend Expansion (Hot Red): Indicates strong bearish directional bias and institutional selling pressure.
Smart Consolidation Filter (Slate Grey): Automatically detects sideways and low-momentum markets using native ADX logic. It shifts candles to neutral grey during choppy phases to prevent over-trading.
2. Structural Setup Trigger (Yellow Highlight Candle)
Replaces standard Buy and Sell verbal labels with clean visual highlights to comply with clean chart presentation standards.
Yellow Candle: Marks high-probability rejection candles that align with the active trend wave, highlighting immediate points of interest.
3. Dynamic Daily Levels and Equilibrium (PDH, EQ, PDL)
Previous Day High (PDH): Automatically draws upper daily liquidity levels.
Previous Day Low (PDL): Automatically draws lower daily liquidity levels.
50 Percent Equilibrium Line (EQ): Dynamically plots the 50 percent midpoint of the previous day range, helping traders easily distinguish between Premium (Overpriced) and Discount (Underpriced) zones.
4. Extended High-Probability Zones (Order Blocks)
Automatically plots order block zones upon key setup triggers.
Includes a Live Price Extension Feature, which extends the active zone forward so you can easily observe price reacting inside the box in real-time.
5. Non-Repainting Market Structure (BOS and CHoCH)
BOS (Break of Structure): Signals trend continuation.
CHoCH (Change of Character): Signals early structural reversal.
Built using safe, shift-corrected multi-timeframe security logic to ensure historical accuracy without repainting.
Full Settings and Customization Guide
Neon Wave Glow and Candle Settings
Wave Sensitivity Length: Adjusts how quickly the trend wave reacts to price changes (Default: 8).
Wave Range Multiplier: Controls the volatility band width (Default: 1.6).
Consolidation ADX Threshold: Set the ADX sensitivity cutoff (Lower values require tighter consolidation before turning grey).
Uptrend, Downtrend, Consolidation Colors: Fully customizable palette for chart visualization.
High-Probability Entry Signal (Yellow Candle)
Entry Trigger Sensitivity: Fine-tunes the structural lookback required for trigger highlights.
Entry Signal Color: Customize the setup highlight color.
Previous Day Levels and Equilibrium
Show Active PDH, EQ, PDL: Toggle visual daily liquidity lines on or off.
Line Styles and Colors: Independent style (Solid, Dashed, Dotted) and color settings for PDH, PDL, and 50 percent EQ lines.
Levels Text Size: Adjustable font sizes (Tiny, Small, Normal, Large) for desktop and mobile displays.
High-Probability Zone Customization
Extend Zone To Current Price: Enable to stretch the current active zone into live price action.
Zone Box Styling: Full control over Background Color, Border Color, Border Thickness, Box Opacity, and Label Text Alignment.
How to Use (Educational Framework)
1. Identify Directional Context: Check the color of the Dynamic Ribbon. (Green = Bullish Bias, Red = Bearish Bias, Grey = Ranging or Exercise Caution).
2. Evaluate Premium versus Discount: Compare current price with the 50 percent EQ Line. Long Setups carry higher probability when price is below EQ (Discount). Short Setups carry higher probability when price is above EQ (Premium).
3. Execution Alignment: Look for structural rejections (Yellow Setup Candle) tapping into active HP Zones near key PDH or PDL levels.
House Rules and Educational Disclaimer
No Repainting: All historical levels, zones, and structure lines are calculated on bar-close logic.
Educational Tool: This script is designed exclusively for market structure mapping and educational analysis. It does not provide financial advice or automated trading signals.
Indicador
Indicador
Indicador
Probabilistic ICT Order Blocks [3D] | GainzAlgoOverview
This indicator is ICT order blocks with a twist: each block gets a machine-learning-based probability score, a 3D-shaded look, and a live win-rate dashboard so you can see if the concept is actually working on your instrument, not just where the zones are.
What are order blocks?
An order block is the last opposing candle before a strong impulsive move, the last down-candle before price rips higher, or the last up-candle before it dumps. The idea: that candle marks where large orders got filled, so price often returns to "retest" it before continuing. This script auto-detects those zones off swing structure breaks (market structure shifts).
How it works
Detects bullish/bearish structure shifts and marks the originating candle as an order block.
A gradient-boosted ML model (trained live on RSI, MFI, ATR%, and volume z-score) scores each block with a probability of continuation, shown right on the box.
Blocks that get fully invalidated are deleted automatically, and new blocks can't overlap existing ones so there is no clutter.
A dashboard tracks real win/loss counts separately for bull and bear blocks, so the win rate is measured, not assumed.
3D-shaded rendering makes zones easier to read at a glance.
How to trade with it:
Wait for price to return into a block (a "retest").
Check the probability % — higher = more historical continuation odds per the model.
Look for confirmation (rejection wick, lower-timeframe shift) before entering in the block's direction.
Invalidation = a full close through the opposite side of the block. Treat that as your stop.
Use the dashboard win rate to judge whether the current instrument/timeframe combo is actually favorable before trading it live.
Settings Guide
As with all of our indicators, the settings allows for customization to your preferences. Here is a breakdown:
Swing Detection Length — how many bars define a swing high/low. Lower = more (and smaller) order blocks; higher = fewer, more significant ones.
Max Displayed Blocks (Per Type) — cap on how many bull/bear blocks show at once, oldest gets dropped first.
Delete OB on Full Invalidation — auto-removes a block the moment price fully closes through it, so dead zones don't clutter the chart.
Machine Learning Training Lookback — how much history the model trains on each retrain cycle. More = smoother/slower-adapting probabilities; less = more reactive to recent conditions.
Retrain Frequency (Bars) — how often the model retrains. Lower = fresher but more compute-heavy; higher = more stable scores.
Bullish/Bearish OB Color — self-explanatory, sets zone colors.
3D Depth Shift (Bars/Ticks) — controls the offset of the "rear" face that creates the 3D look. Bigger = more pronounced depth effect.
Show Dashboard — toggles the win-rate table on/off.
Position / Text Size — where the dashboard sits and how big the text is.
Show Win/Loss Markers on Chart — toggles the triangle (win) / X (loss) shapes that mark resolved blocks.
Concluding thoughts
This isn't a signal generator, it's a structured way to see ICT order blocks with actual odds attached instead of guessing. Backtest the win rate on your market first, then use it as confluence with your own read of price action.
Indicador
Indicador
FVG IndicatorFVG (Fair Value Gap) Indicator – Multi-Timeframe & iFVG Support
The Fair Value Gap (FVG) represents a sharp price imbalance created during aggressive moves. In Smart Money Concepts, these areas act as key support and resistance zones. This indicator provides a comprehensive, highly customizable visualization of FVGs directly on your chart.
🔍 Key Features
Multi-Timeframe Support (HTF) : Display FVGs from your current timeframe plus up to 3 higher timeframes simultaneously (e.g., view 1m, 5m, 15m, and 1h FVGs all on a single 1-minute chart).
iFVG (Inverted FVG) Auto-Conversion : When price closes below a Bullish FVG, it auto-converts to a Bearish iFVG (Purple) . When price closes above a Bearish FVG, it auto-converts to a Bullish iFVG (Teal) . iFVGs have independent line styles (Dashed/Dotted/Solid) and widths for easy distinction.
Extension Modes : Choose how far the FVG boxes extend to the right.
- No Extension: Boxes remain within the original candle range.
- Custom Extension: Boxes extend for a specific number of bars you define.
- Infinite Extension: Boxes extend infinitely to the right edge of the chart, with labels fixed to the right for real-time price context.
Volume Threshold (Highlight / Filter) : Separate significant FVGs from minor ones using volume.
- Supports SMA, EMA, or Z-Score for volume averaging.
- Highlight Mode: Adds a yellow border and a ★ star to FVGs that exceed the volume threshold.
- Filter Mode: Hides FVGs that do NOT meet the volume threshold, keeping your chart clean and focused.
Fully Customizable Styling : Set independent background colors, border colors, and border widths for Bullish FVG, Bearish FVG, Bullish iFVG, and Bearish iFVG. Adjust label text color, size, and offset freely.
📊 Interpretation Guide
Bullish FVG (Green): Gap created after a strong upward move Acts as a key support zone during pullbacks.
Bearish FVG (Red): Gap created after a strong downward move Acts as a key resistance zone during bounces.
Bullish iFVG (Teal): Price breaks above a Bearish FVG's top Indicates prior resistance has flipped into support .
Bearish iFVG (Purple): Price breaks below a Bullish FVG's bottom Indicates prior support has flipped into resistance .
Volume exceeds the defined threshold: Highlights that this FVG is backed by strong volume, making it more significant .
⚙️ Important Input Settings Explained
Bullish / Bearish FVG Display : Toggle to show or hide specific directional FVGs.
Maximum FVG Boxes : Limits the total number of boxes displayed (1–100) for optimal performance.
HTF 1 / 2 / 3 : Enter higher timeframe values (e.g., 60 for 60 minutes, 240 for 240 minutes, D for Daily, W for Weekly). Leave blank to disable.
Threshold Mode :
- None: Displays all FVGs regardless of volume.
- Highlight: Visually emphasizes FVGs that pass the volume test.
- Filter: Only displays FVGs that pass the volume test.
- Threshold Type: (SMA / EMA/ Z-score) Simply need to select a indicator for measuring the threshold.
- Recommand Setting : If you select SMA or EMA >> length: 3~20 & Multiply 1.5
If you select Z-score(sma based) >> length: 3~20 & Multiply 1
Apply Threshold to iFVG : When enabled, the volume threshold is re-evaluated when a standard FVG converts to iFVG.
⚠️ Important Notes
To prevent repainting and false signals, higher timeframe (HTF) data is fetched with lookahead turned OFF . This ensures the indicator relies only on closed HTF candles.
The script is configured with a maximum of 500 boxes and 500 labels to handle heavy multi-timeframe rendering without performance lag.
This indicator is based on historical price data. It should be used in confluence with price action, market structure, or other confirmation tools—not as a standalone buy/sell signal.
📜 License
This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) .
✅ Allowed: Free use, modification, and sharing for non-commercial purposes.
❌ Prohibited: Commercial use, redistribution for profit, or publishing without proper credit.
🔗 Required: Always retain the original author's credit (Lapa) and provide a link to the license.
Full license details: creativecommons.org Indicador
Asia, EU & US Open Levels + DTS Time & Price## Overview
The **Asia, EU & US Open Levels + DTS Time & Price** indicator is an all-in-one time-and-price tool designed for intra-day traders (SMC, ICT, and Session traders). It combines key session open levels (Asia, EU, and US) with precision time-based vertical markers and session shading (DTS / Time & Price concepts).
Understanding where price opens at key regional trading hubs, combined with specific time-based liquidity windows, gives traders a clear edge in identifying daily bias and key reaction zones.
---
## Key Features
### 1. Major Session Open Levels & Background Shading
* **Asia, EU, and US Open Prices:** Automatically plots bold horizontal levels at the exact opening candle of the Asian, European, and US sessions based on your local timezone (default set to `Europe/Belgrade`).
* **Dynamic Session Fills:** Highlights the background region between the opening price and the candle close throughout the duration of that specific trading session phase, providing instant visual feedback on price expansion.
* **Daily Reset:** Levels and session phases automatically reset every new trading day to keep your chart clean and noise-free.
### 2. DTS (Daily Time Structure) & Time Markers
* **NY AM Session Shading:** Displays custom background highlighting for the New York Morning trading window (default set to `UTC-5`).
* **5-Level Time Progression Lines (0, 0.25, 0.50, 0.75, 1):** Draws full-height vertical gridlines across key time intervals during the session with clear labels positioned cleanly at the bottom of the chart screen.
* **Time Confluence:** Enables traders to identify "Time & Price" confluence—when price hits a key support/resistance level at a specific fractional time window of the day.
---
## How to Use This Indicator
1. **Session Open Trading:**
* Watch how price behaves around the green (Asia Open), blue (EU Open), and red (US Open) lines. These opening prices often act as dynamic support/resistance or draw-on-liquidity targets during later sessions.
2. **Time-Based Executions (DTS):**
* Look for trade setups (FVGs, Liquidity Sweeps, Order Blocks) that coincide with the vertical time lines (0, 0.25, 0.50, 0.75, 1).
3. **Customization:**
* Open the indicator settings to easily adjust input times and timezones to match your local execution hours or specific preferred session windows.
---
## Inputs & Settings
* **Session Open Levels:** Adjust the opening hour inputs for Asia, EU, and US sessions along with their fill colors.
* **DTS Time & Price:** Adjust the NY AM session window, timezone, vertical line intervals, line colors, and label colors to fit your custom layout. Indicador
Market Structure BOS, CHoCH, HH HL LH LL & Trend Health [LunqFX]Market structure is the skeleton of every trend: a series of higher highs and higher lows, or lower highs and lower lows, until a break says the trend has changed. This indicator maps that skeleton automatically — labelling every swing as HH, HL, LH or LL, drawing each Break of Structure (BOS) and Change of Character (CHoCH) — and adds one thing no other structure tool has: it tells you the trend is failing BEFORE the structure actually breaks.
❶ THE STRUCTURE MAP
▸ SWING LABELS — every confirmed swing point is labelled HH (higher high), HL (higher low), LH (lower high) or LL (lower low). The sequence of those four labels IS the trend, and having it on the chart removes the guesswork from reading price action.
▸ BOS — Break of Structure. Price closes through the last swing level in the direction of the trend: the trend is continuing. Drawn as a dashed line from the broken level with a BOS label.
▸ CHoCH — Change of Character. Price closes through the last swing level against the trend: the trend has flipped. Drawn as a solid, highlighted line — this is the reversal signal smart-money traders wait for.
▸ STRUCTURE CANDLES — the candles themselves are coloured by the structural trend, not by whether each bar closed up or down. Green means the market structure is bullish, violet means bearish, so the regime is obvious at a single glance. Their brightness fades as Trend Health falls.
❷ TREND HEALTH 0–100 — THE EARLY WARNING
Every other structure tool tells you a trend has ended after CHoCH prints. By then the move is already gone. Trend Health measures the two things that decay before every structure break:
▸ EXPANSION — in a healthy trend each new extreme clears the previous one by at least as much as the last leg did. When new highs barely exceed the old ones, the trend is running out of fuel.
▸ RETRACEMENT — in a healthy trend pullbacks stay shallow. When each pullback eats deeper into the previous leg, control is shifting to the other side.
Both are measured on the live leg, normalised by ATR so the score behaves the same on any symbol and timeframe, and blended into a single 0–100 reading. When it drops below your threshold the dashboard flags WEAKENING — while the trend is still technically intact. That is the warning CHoCH cannot give you, because CHoCH is confirmation, not anticipation.
❸ THE STRUCTURE TAPE
Instead of a table of numbers, the dashboard shows a timeline of the last five structure events, oldest to newest: BOS ▲ · BOS ▲ · CHoCH ▼ · BOS ▼. Reading the sequence tells you instantly whether the market is trending cleanly (a run of BOS in one direction) or chopping (CHoCH flipping back and forth) — context you cannot get from a single label on the chart.
❹ HOW TO TRADE IT
1 — Establish the bias from MARKET STRUCTURE in the panel. Bullish structure = look for longs, bearish = look for shorts. Do not fight it.
2 — Use BOS as continuation. A BOS in the direction of your bias confirms the trend is intact; the broken level often becomes support or resistance on the retest.
3 — Use CHoCH as the reversal trigger. A CHoCH against the prevailing trend is the earliest confirmed signal that structure has flipped. Wait for it before trading a reversal.
4 — Use TREND HEALTH for timing and risk. Health above 65 with a run of BOS on the tape = a clean trend, hold your position and trail. Health falling into WEAKENING = tighten stops, take partials, and stop adding — the structure is decaying and a CHoCH becomes more likely.
5 — Read the tape for market state. Several BOS in a row = trending market, trade continuations. Alternating CHoCH = choppy market, stand aside or trade the range instead.
❺ HOW IT WORKS
Swing points come from confirmed pivots, so a swing only exists once the bars on both sides of it have closed. The most recent swing high and swing low become the active structure levels. When a bar CLOSES beyond one of them (a wick-based mode is available), the break is registered: in the direction of the current trend it is a BOS, against it a CHoCH, and the trend state flips. Trend Health compares the size of the current expansion leg with the previous one in ATR units, and the depth of the latest pullback against the leg it retraced, then blends them 60/40 into the 0–100 score. Immediately after a CHoCH there is no second leg to compare yet, so the panel honestly reports NEW TREND instead of a misleading health reading.
Works on every symbol and timeframe — forex, gold, indices, crypto and stocks — because every threshold is either structural or ATR-normalised, with nothing to configure per market.
SETTINGS — swing length (how major a swing must be), break on close or wick, the health threshold that flags weakening, swing labels and BOS/CHoCH lines on/off, number of events kept, structure candles on/off, and dashboard position.
ALERTS — BOS up, BOS down, CHoCH up, CHoCH down, and Structure Weakening (the early warning).
NON-REPAINTING — swings are built from confirmed pivots and every break is validated on bar close. A label or line that has printed never moves or disappears.
Every component here describes the same object — the market's structure — at a different resolution: the swings build it, BOS and CHoCH break it, Trend Health measures its condition, and the tape is its history. That is why they belong in one tool rather than five.
This indicator is an educational market-analysis tool, not financial advice. Trend Health describes the current structure's condition and does not predict future prices. Always confirm with your own analysis and manage your risk.
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