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DoubleUp ORB LiteDoubleUp ORB Lite - Opening Range Breakout with A-D Grading
DoubleUp ORB Lite marks the opening range for a session you define, plots breakout extension levels, and grades each breakout A through D so you can separate a stronger breakout from a weaker one instead of treating every range break the same. It is the free entry point to DoubleUp ORB+.
How it works;
You define the opening range as a time window (entered as HHMM-HHMM - the default 0930-0945 captures the first fifteen minutes of the US session), with a separate control for which days it applies. During that window the script builds the range from either the high/low or the close, marks the range and its midpoint, and plots three breakout extension levels above and below at multiples of the range height (default 1x, 2x, 3x).
Before it trusts a break, it checks the range's own quality: the opening range is measured as a percentage of ATR-14 and compared to a minimum you set (default 30%). When the range comes in abnormally compressed it is flagged NARROW and its breakouts are drawn in grey, because a break out of an unusually tight range is more often noise than genuine expansion. An optional filter can also require the breakout's bar volume to exceed the session average.
How the grading works
Each breakout is scored on a small weighted model rather than a single trigger. The factors are real and script-derived: which side of session VWAP the breakout sits on, and a volume surge measured against the moving average ( a strong surge above 1.5x carries double weight versus a marginal one). The total maps to a letter grade printed on the breakout, so the grade is auditable rather than a black box. This grading approach, a specific, chart-derived criteria rather than a generic "trend" or "scalping" label, is the core of what the tool does.
Also included:
Session VWAP, the opening range midpoint, previous-day high and low levels, and a visual ATR trailing stop at 1.0x ATR-14, so a graded breakout comes with a ready reference for invalidation.
How to use it;
Set the Opening Range session to your instrument's open and match the time zone. Raise the minimum range/ATR threshold in choppy conditions to grey out low-quality breakouts, and use the grade to decide which breaks are worth acting on. Works on intraday timeframes across futures, indices, and other liquid instruments.
The full DoubleUp ORB+ adds Fibonacci extension levels, a higher timeframe bias and multi-timeframe volume filters, order block and breaker zones, a Fair Value Gap system, a volume profile, instrument presets with position sizing, and a full trade plan with graded targets. אינדיקטור
DoubleUp VWAP LiteDoubleUp VWAP Lite - Session VWAP with A-D Reclaim Grading
DoubleUp VWAP Lite plots session-anchored VWAP with standard-deviation bands and grades each VWAP reclaim A through D, so you can tell a high-quality reclaim from a weak one instead of treating every VWAP cross the same. It is the free entry point to the DoubleUp VWAP System.
How it works;
The script anchors VWAP to the trading session and draws two standard-deviation bands above and below it (default 1.0 and 2.0). A signal fires when price closes back across VWAP - above for a bull reclaim, below for a bear rejection - and can optionally require the signal bar's volume to exceed the 20-period average before it qualifies.
How the grading works (what makes this different)
Each reclaim is scored on a small weighted model rather than a single trigger. The factors are real and script-derived: which side of session VWAP the close sits on, a volume surge measured against the 20-period average (a strong surge above 1.5x carries double weight versus a marginal one), and distance from VWAP- a reclaim that happens close to VWAP scores higher than one that fires after price has already extended, because the extended entry sits worse against the same invalidation level. The total maps to a letter grade, and the raw score is printed beneath each signal (out of the model's maximum) so the grade is auditable rather than a black box. This grading approach - specific, chart-derived criteria rather than a generic "trend" or "scalping" label - is the core of what the tool does.
Also included;
Previous-day high and low levels, and a visual ATR trailing stop at 1.0x ATR-14, so a graded reclaim comes with a ready reference for invalidation.
How to use it;
Use it on intraday timeframes on any volume-bearing instrument. Keep the volume requirement on for liquid instruments to filter weaker reclaims; turn it off on thin instruments where the 20-period volume average is unreliable. Lean on the grade to decide which reclaims are worth acting on.
The full DoubleUp VWAP System adds Daily and Weekly VWAP anchors, three more signal types (rejection, extension, and SD-band rejection), Heikin Ashi and higher timeframe filters, position sizing, and a full trade plan. אינדיקטור
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The Ultimate FRVP toolPeriodic FRVP — Weekly / Session Volume Profiles + Naked POC/VA + Volume Nodes
Fixed-range volume profiles anchored to the period of your choice — weekly, daily, monthly, or a fully custom intraday session — with naked-level tracking, HVN/LVN zone detection, and a VRVP-style composite profile.
🔹 Anchored profiles
Anchor profiles to Weekly / Daily / Monthly periods or a custom session with your own time slot and timezone
Session presets included: US RTH, US ETH/Globex, London, New York FX, Tokyo
Optional live (developing) profile for the current period, updating in real time
Choose how many completed profiles stay on the chart
🔹 High-resolution, intrabar-accurate
Up to 512 rows per profile (drawn via polylines, not boxes — high row counts are cheap)
Intrabar precision: volume is binned from lower-timeframe data (auto-selected or fixed), so profile shapes are accurate on any chart timeframe
Two render styles: classic bars or a filled silhouette
Standard FRVP controls: rows, Value Area %, POC / VAH / VAL lines, colors
🔹 Naked levels that cut when hit
Naked POCs and naked VAH/VAL edges extend right until price trades into them
On a hit the line is cut exactly at the hit bar (and dimmed), or deleted entirely — your choice
Hit condition selectable: wick touch or body touch
Price labels pinned at the right edge, plus alerts for naked POC hits and naked VA-edge hits
🔹 HVN / LVN zones
Low-volume and high-volume nodes are auto-detected per profile and drawn as translucent zones — including on the live profile
Adjustable detection: threshold as % of POC volume, row smoothing, minimum zone height, and search inside the Value Area only
Each zone type independently extends right, stays inside the profile, or extends both ways
🔹 Composite profile
Merges the last N completed periods (optionally including the live one) into one profile pinned to the right edge of the visible range, VRVP-style — it follows your scroll and zoom
Width set as a % of the visible span; horizontal shift lets you push it into your right margin or pull it over the price action
Bars can face left (toward price) or right
⚙️ Notes
Custom sessions require an intraday chart timeframe
Intrabar history is limited by TradingView (~100k intrabars); older periods automatically fall back to chart-bar binning
At high row counts (128–255), raise the node-detection smoothing (5–9) so LVN/HVN zones stay meaningful
Pine can't read the width of your empty right margin (only chart-native VRVP can), so use the composite's horizontal shift to place it where you like
How I use it: weekly profiles on a 1H chart, LVNs inside the value area marked as gray zones extending right — untested LVNs are where price tends to move fast, and naked POCs/VA edges act as magnets until they're tapped and cut. אינדיקטור
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10AM & 10PM Open Levels10AM / 10PM Opening Levels
The 10AM / 10PM Opening Levels indicator automatically plots the opening price of the 10:00 AM and 10:00 PM New York sessions as clean horizontal support and resistance levels.
These opening prices frequently become important intraday reference points where price reacts, consolidates, breaks out, or reverses. Many traders use them as directional bias levels or confluence with market structure, liquidity, order blocks, fair value gaps, Fibonacci retracements, and supply & demand zones.
Features
• Automatically detects the 10:00 AM and/or 10:00 PM New York open.
• Draws horizontal price levels from each session open.
• Fully customizable colors, line style, width, and line length.
• Optional labels for quick identification.
• Keep historical levels or display only the most recent ones.
• Adjustable maximum number of historical levels stored on the chart.
• Supports any TradingView timeframe.
Common Uses
* Intraday support and resistance
* Trend confirmation
* Breakout validation
* Reversal areas
* Confluence with:
* Order Blocks
* Fair Value Gaps (FVGs)
* Supply & Demand
* Liquidity sweeps
* Fibonacci retracements
* Market Structure
Settings
* Enable/disable 10 AM level
* Enable/disable 10 PM level
* Time zone selection
* Line color
* Line width
* Line style
* Line length
* Label colors
* Historical levels on/off
* Maximum number of stored levels
Notes
The indicator uses the opening price of the bar that begins at 10:00 AM or 10:00 PM in the selected timezone (default: America/New_York).
These levels are intended to serve as objective reference points and should be used alongside your own trading plan and risk management. אינדיקטור
Oybek stats**PM Gap Scanner — 10 Tickers**
Monitors up to 10 symbols at once and fires an alert when a stock moves away from its previous regular-session close by more than a set threshold during pre-market hours.
Key features:
- Ten user-defined symbols, each with its own threshold (set to 0 to fall back to the global one)
- Threshold measured in points or percent
- Direction filter: gap up only, gap down only, or both
- Configurable pre-market window (default 04:00–09:30 ET)
- One alert per ticker per day, optional
- On-chart table showing live Δ$ and Δ% for every symbol, with a highlight on triggered rows
- Alert message includes ticker, gap in points and percent, previous close, current price, and the threshold that fired
Setup: add to a 1-minute chart with Extended Trading Hours enabled, then create an alert using "Any alert() function call" set to Once Per Bar. A single alert covers the whole list. אינדיקטור
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PSRC | NYAM 3X Liquidity Sweep V31. Executive Summary
PSRC-LSMSS is a multi-timeframe Pine Script v6 AI Engine that identifies 3 key institutional liquidity raids during the New York AM session and confirms them against a structural market-shift model before generating a tiered, alert-ready signal. It was built following an explicit Quant-First, Code-Second discipline: the edge hypothesis, timeframe stack, and risk model were defined before a single line of entry logic was written, and every stage of the resulting pipeline has been individually stress-tested against three months of live tick data across six markets.
This manual documents what the indicator does, why its architecture reflects institutional development standards, how to configure it correctly, which assets and timeframes it is validated for, and — just as importantly — what it has not yet proven. Section 8 (Validation Status) should be read in full before any live use.
2. Core Methodology
2.1 The Edge Thesis
Institutional order flow requires liquidity to fill size. Retail stop-losses and breakout orders cluster at obvious levels — session highs and lows, the prior day's high/low, and equal highs/lows (double tops/bottoms). Smart money routinely engineers price through these levels to access that resting liquidity before reversing in the intended direction. The New York AM session (approx. 08:30–11:00 EST) is the highest-probability window for this behavior because it carries the volume and volatility to sweep multiple stacked pools — left over from the Asian and London sessions — in a single move, and because it frequently sets the day's true directional bias.
2.2 Market Logic
The core hypothesis is confluence-weighted: the more distinct liquidity pools are swept in the same raid, the larger the implied institutional fill, and the higher the probability that the subsequent reversal is genuine rather than a shallow stop-run that continues in the original direction. The indicator scores this numerically (0–4) rather than relying on a single swept level, and only arms a setup once a configurable minimum score is met.
2.3 The Multi-Timeframe Stack
Every arm decision passes through four independent timeframe roles, each with a distinct job:
• Bias (Daily + H4): Directional filter. A setup is only considered valid when the higher-timeframe structure agrees with the direction of the reversal being traded.
• Confirmation (H1): A secondary bias check, displayed for context and optionally enforced as a hard gate.
• Detection (M5): Where the actual liquidity sweep and Change-of-Character (CHoCH) / Market Structure Shift (MSS) are identified.
• Entry Refinement (M1): Where the retracement into a Fibonacci OTE zone and the final micro-structure confirmation are timed. The indicator must run on the M1 chart for this layer to function correctly.
3. Why This Is Institutional-Grade Engineering
“Institutional-grade” in this document refers to engineering methodology — the discipline and rigor applied to building and validating the system — not a claim about proven returns. Five design properties distinguish this build from a typical retail indicator:
3.1 Non-Repainting Architecture
All higher-timeframe structure is derived from confirmed pivots (a pivot only exists once price has moved a defined number of bars past it), and all cross-timeframe data requests use lookahead-disabled security calls. The Previous Day High/Low reference uses only the prior, fully-closed daily bar. Nothing in the signal path depends on a bar that has not yet closed at the relevant timeframe.
3.2 Liquidity Confluence Scoring
Rather than a binary “price broke a level” trigger, the indicator maintains independent swept/unswept state for four liquidity pool types per session and requires a configurable minimum score before arming. This directly encodes the edge thesis in Section 2.2 rather than trading every isolated sweep.
3.3 Tiered Signal Classification
Entries are not treated as pass/fail. A retracement into the 62–79% Fibonacci zone (“Premium”) sits close to the invalidation line and offers materially better risk/reward than a 50–61% retracement (“Standard”). The indicator labels each fired signal by tier so position sizing and conviction can be adjusted per trade rather than treating every alert identically.
3.4 ATR-Relative Adaptive Logic
Structural pivot tolerances, volatility filtering, and invalidation buffering are all expressed as multiples of Average True Range rather than fixed price distances. This allows the same configuration to operate correctly on a $4,100 gold contract and a 1.14 EUR/USD rate without per-instrument hand-tuning.
3.5 Built-In Diagnostic Transparency
The indicator ships with an optional Signal Funnel panel that records, in real time, exactly how many candidate setups pass each individual gate — session timing, bias resolution, direction match, confluence, volatility filter, zone-tap, and final confirmation — plus an ATR-normalized overshoot distribution for every setup that reaches a zone. This is the same instrumentation used internally during development to diagnose and correct three separate defects before this release. Institutional systems are audited, not trusted blindly; this indicator exposes its own internals so you can audit it too. אינדיקטור
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MMF Flow Regime Classifier# MMF Flow Regime Classifier
**Part of the Financial Conditions Index suite** (alongside Real Yields Monitor, Macro Risk Regime, and Financial Conditions Index).
## Overview
Money market fund assets are one of the cleanest reads on where cash sits in the risk cycle — but raw MMF levels are a poor timing signal on their own. Assets grind structurally higher with nominal GDP and rates, so a rising balance doesn't necessarily mean flight to safety, and a *falling* rate of growth doesn't necessarily mean risk appetite either. Historically, MMF assets have *risen* through most easing cycles (2001, 2008, 2020) as fear dominates the falling-carry math, and real yields can actually rise into a growth scare even as nominal rates fall.
This indicator resolves that ambiguity by classifying MMF flow momentum against front-end rate direction, producing five distinct regimes instead of a single ambiguous line.
## Methodology
1. **Flow momentum**: a smoothed, standardized (z-scored) rate-of-change of retail money market fund assets (FRED:RMFSL), optionally normalized by M2 (FRED:M2SL) to strip out the structural nominal growth in cash balances and isolate genuine *cash preference* rather than accumulation.
2. **Real outflow test**: independently checks whether the raw dollar level of MMF assets actually declined over the lookback window — this is what separates genuine outflows from decelerating inflows, which look similar in a z-score but mean very different things.
3. **Rate direction**: the trailing change in a front-end rate proxy (2Y yield by default; 3-month bill selectable).
These three signals combine into five regimes:
| Regime | Condition | Color | Meaning |
|---|---|---|---|
| **DEPLOYMENT** | Rates falling + real outflows | Teal | Easing is being believed — cash moving out the risk curve. Strongest risk-on confirmation. |
| **FEAR** | Rates falling + assets building | Red | The 2008 signature — policy easing but fear winning. Risk-off despite lower rates. |
| **CARRY** | Rates rising + assets building | Orange | Mechanical cash attraction under tightening (e.g. 2022–23). |
| **MELT-UP** | Rates rising + real outflows | Bright cyan | Rare — risk appetite strong enough to overwhelm rising cash yields. |
| **DECEL** | Flow momentum negative but level still rising | Slate blue | Not an outflow. Inflows are simply slowing relative to trend — a "watch, don't act" state. |
The DECEL state is deliberately colored apart from the true-outflow states (DEPLOYMENT/MELT-UP) — momentum turning negative is not the same as money actually leaving money market funds, and conflating the two was a design flaw in earlier iterations of this tool.
## How to read it
- **Warm colors (orange/red) = cash building.** Rate direction tells you whether that's a tightening response (orange) or fear despite easing (red).
- **Bright cool colors (cyan/teal) = cash actually leaving.** Rate direction separates confirmed deployment (teal) from a rarer melt-up (cyan).
- **Slate blue = deceleration only.** Assets are still growing; treat as neutral-to-mildly-constructive, not a risk-on signal.
## Inputs
- MMF and M2 source series (FRED symbols, user-selectable)
- Front-end rate proxy (2Y yield or 3-month bill)
- Flow ROC lookback, z-score lookback, smoothing, rate-direction lookback
- Neutral band (suppresses regime flips from marginal z-scores)
- Regime persistence filter (requires N consecutive bars before a regime is confirmed, to suppress single-bar noise)
- Toggle for M2-normalized ("cash preference") vs. raw-level flow momentum
## Notes and limitations
- FRED series publish on a lag and revise; treat the most recent bar(s) as provisional.
- Best run on monthly resolution — the underlying data updates monthly (RMFSL). The script computes its statistics natively in that timeframe regardless of chart resolution, so weekly/daily charts will show the same values as monthly, just repainted intramonth until the month closes.
- This is a positioning gate, not a standalone signal. It's designed to be read alongside a rates/real-yield framework (e.g. this suite's Financial Conditions Index or Real Yields Monitor) — the regime table only tells you the *direction* of cash flow relative to rates, not why. A DEPLOYMENT or FEAR reading should be cross-checked against actual price action before treating it as confirmation. אינדיקטור
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MTF ATR SL LevelThis Pine Script (Version 6) is a technical indicator for TradingView called "MTF ATR Level".
In short: The indicator calculates the Average True Range (ATR) – meaning the average volatility (price fluctuation range) – from a higher timeframe (e.g., the daily chart) and projects these values as dynamic resistance and support bands directly onto your current chart (e.g., a 5-minute or 1-hour chart).
Here is the exact functionality broken down in detail:
1. Core Functions & Settings
Multi-Timeframe (MTF) Logic: The script uses the request.security() function to fetch data from another timeframe (set to Daily/'D' by default). This allows you to immediately see where the important volatility boundaries of the higher-level daily chart lie on smaller intraday charts.
Flexible ATR Filter: You can choose how the ATR should be smoothed in the settings menu. Three mathematical methods are available:
RMA (Welles Wilder's Moving Average – the standard for ATR)
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
Adjustable Multipliers: You can use the inputs (Upper/Lower ATR Multiplier) to determine how many ATR units the lines should be shifted away from yesterday's closing price (e.g., 1.0 ATR, 1.5 ATR, etc.).
2. How the Lines are Calculated
The script calculates two crucial levels:
Upper Level (Upper Line): Yesterday's close of the higher timeframe + (ATR * Multiplier)
Lower Level (Lower Line): Yesterday's close of the higher timeframe - (ATR * Multiplier)
Dieses Pine Script (Version 6) ist ein technischer Indikator für TradingView namens "MTF ATR Level".
Kurz gesagt: Der Indikator berechnet die Average True Range (ATR) – also die durchschnittliche Volatilität (Schwankungsbreite) – aus einer höheren Zeiteinheit (z. B. dem Tageschart) und projiziert diese Werte als dynamische Widerstands- und Unterstützungsbänder direkt auf deinen aktuellen Chart (z. B. einen 5-Minuten- oder 1-Stunden-Chart).
Hier ist die genaue Funktionsweise im Detail aufgeschlüsselt:
1. Die Kernfunktionen & Einstellungen
Multi-Timeframe (MTF) Logik: Das Script nutzt die Funktion request.security(), um Daten aus einer anderen Zeiteinheit abzurufen (standardmäßig auf Tag/'D' eingestellt). Dadurch siehst du auf den kleineren Intraday-Charts sofort, wo die wichtigen Volatilitätsgrenzen des übergeordneten Tagescharts liegen.
Flexibler ATR-Filter: Du kannst im Einstellungsmenü wählen, wie die ATR geglättet werden soll. Es stehen drei mathematische Methoden zur Verfügung:
RMA (Moving Average von Welles Wilder – der Standard für ATR)
SMA (Einfacher gleitender Durchschnitt)
EMA (Exponentieller gleitender Durchschnitt)
Einstellbare Multiplikatoren: Du kannst über die Inputs (Upper/Lower ATR Multiplier) bestimmen, wie viele ATR-Einheiten die Linien vom gestrigen Schlusskurs entfernt sein sollen (z. B. 1,0 ATR, 1,5 ATR usw.).
2. Wie die Linien berechnet werden
Das Script berechnet zwei entscheidende Niveaus:
Upper Level (Obere Linie): Gestriger Schlusskurs des höheren Timeframes + (ATR * Multiplikator)
Lower Level (Untere Linie): Gestriger Schlusskurs des höheren Timeframes - (ATR * Multiplikator) אינדיקטור
Machine Learning Neural Network EngineMachine Learning Neural Network Engine turns complex Daily market behavior into three clear states: LONG, WATCH and CASH.
Instead of relying on one fixed trend signal, the indicator combines an adaptive neural network, continuous model validation and an independent crisis detector. The result is a simple visual interface backed by a fully causal machine-learning process.
HOW IT WORKS
At its core is a compact 6-5-1 neural network trained directly on the chart.
It analyzes six normalized features:
Short- and medium-term trend structure
RSI momentum
Deviation from linear regression
Directional price efficiency
Relative volatility
Candle pressure adjusted by relative volume
The network learns sequentially from completed market outcomes. On each confirmed Daily bar, it can only train on information from an earlier bar whose result has become known. Current predictions never use future data.
Training uses nonlinear neurons, RMS-scaled gradient updates, error clipping and regularization. This is an adaptive online model, not a set of fixed coefficients labelled as machine learning.
SELF-AUDITING MACHINE LEARNING
The neural network is continuously compared with an independent structural trend model.
When the network’s matured predictions provide useful additional information, its influence increases. When its recent error becomes worse than the structural baseline, its influence is automatically reduced.
This live validation mechanism prevents the indicator from trusting its machine-learning component unconditionally.
CRISIS DETECTION
A separate stress engine monitors:
Rapid 10-day declines
Drawdown from the 63-day high
Abnormal ATR expansion
Long-term price structure
This layer can trigger a defensive state independently of the neural model, helping the indicator respond to sudden market deterioration.
HOW TO READ IT
LONG — Green
The model, trend structure and confirmation rules support a constructive market environment.
WATCH — Amber
The market remains structurally LONG, but risk or exit evidence is increasing.
CASH — Red
The environment is defensive because of persistent weakness or confirmed crisis stress. The indicator never takes short positions.
The colored neural axis and surrounding halo display the active state without covering the chart with labels. Transition pulses identify confirmed changes, while the dashboard shows bull probability, neural risk and the current machine-learning audit.
WHAT MAKES IT DIFFERENT
The script integrates four distinct functions:
1. Online neural-network learning
2. Live error-based model validation
3. Independent downside-stress detection
4. A confirmed state machine designed to limit excessive switching
These components are not combined as a simple indicator vote. Each has a separate role in learning, validation, protection or state stabilization.
SETTINGS
ML response controls adaptation speed and signal stability:
Fast reacts sooner.
Balanced is the recommended starting point.
Smooth prioritizes stability.
ML selectivity controls how much evidence is required before LONG or CASH is confirmed.
The indicator is designed exclusively for standard Daily charts.
BUILT-IN COMPARISON
The dashboard includes a lagged long/cash comparison with buy-and-hold. It applies the selected transition cost and openly displays periods when the model underperforms.
This comparison is a diagnostic tool, not a complete strategy backtest. It does not include every possible spread, slippage, tax, financing or execution constraint.
IMPORTANT LIMITATIONS
The bull probability is an internal normalized score, not a statistically calibrated probability of profit. The model can react late, generate false transitions in sideways markets and cannot eliminate gap risk.
The developing Daily bar may change before closing. Confirmed historical states use no future data, no lookahead and no higher-timeframe security calls.
This indicator provides market context, not financial advice or guaranteed performance. Online learning does not imply future outperformance.
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5 EMA MARKET MAKERSThis script delivers a highly optimized Exponential Moving Average (EMA) suite designed for high-leverage scalping and precision Opening Range Breakout (ORB) trading. Built to cut out the fluff, it keeps your charts clean while exposing immediate momentum shifts and deep institutional market structures.
Core Components:
Micro-Trend Alignment (5 & 13 EMA): Tracks immediate price action and momentum shifts. Essential for aggressive scalping and timing precise entries on the 5m timeframe right after the 15m session open prints.
Intraday Baseline (50 EMA): Serves as your dynamic anchor for intra-session swings and trend confirmation.
Macro Structure (200 & 800 EMA): Exposes the broader structural bias. The 800 EMA acts as a heavy institutional boundary, aligning perfectly with market maker setups and major psychological levels.
Optimal Trading Strategy:
Target Asset: Highly effective on BTC USD.
Execution: Tailored for traders operating with extreme leverage (100x–150x) and razor-thin stop losses (~0.2%).
Session Playbook: Ideal for catching ORB volatility across major liquidity windows (Asian, London, and New York sessions). Wait for the first 15m candle to form, drop down to the 5m, and use the EMA ribbon to confirm your breakout entries, retests, or swing failure patterns.
Pair this suite with your vector candle daily highs/lows and weekly psychological levels. Execute the setup, manage your risk, and extract your profits. אינדיקטור
Key Levels + Native Order Flow## Key Levels + Native Order Flow
**Key Levels + Native Order Flow** combines important market reference levels with TradingView’s native footprint data. The indicator can display daily, weekly, monthly, quarterly, yearly, previous 4-hour, Monday, Asia, London, and New York levels.
When price approaches an enabled key level, the order-flow engine analyzes volume delta, stacked imbalances, and the candle’s Point of Control to identify:
* **BUY ABS / SELL ABS:** Potential rejection or absorption
* **BUY ACCEPT / SELL ACCEPT:** Price acceptance and possible continuation through a level
* **BULL DIV / BEAR DIV:** Delta divergence at a key level
The live dashboard shows the nearest active level, distance from the level, delta, imbalance stacks, bar POC, and the current order-flow condition. Confirmed chart markers only print after the candle closes.
### Premium Membership Required
This indicator is for **TradingView Premium or Ultimate members only** because it uses TradingView’s native footprint data through `request.footprint()`.
## Simple Settings Guide
### 1. Key Levels
Enable only the levels you actively use to keep the chart clean.
Recommended starting levels for NQ/MNQ:
* Daily Open and Previous Day High/Low
* Previous Week High/Low
* Previous Month High/Low
* Previous 4H High/Low
* The Asia, London, or New York range you are trading
Set the **Session Time Zone** to your local trading timezone. The default is America/Chicago.
### 2. Display
* **Display Style:** Standard
* **Merge Levels:** On
* **Text Size:** Medium
* **Line Width:** Small
* **Line Style:** Solid
Use Right Anchored mode when you want the levels displayed more cleanly near the current price.
### 3. Native Order Flow
Recommended NQ/MNQ starting settings:
* **Enable Order Flow:** On
* **Levels Evaluated:** Liquidity H/L Only
* **Activation Distance:** 5 points
* **Acceptance Close Buffer:** 1 point
* **Ticks Per Footprint Row:** 4
* **Value Area:** 70%
* **Imbalance:** 300%
* **Minimum Stacked Imbalances:** 2
* **Delta Threshold:** 12%
* **Signal Cooldown:** 5 bars
Keep the dashboard, active-bar POC, and confirmed markers enabled. Dynamic alerts can remain off unless you plan to create order-flow alerts.
### Important
The live dashboard may change while the candle is forming. Confirmed BUY or SELL markers are printed only after the candle closes. Signals should be used as confirmation at an important level—not as automatic trade entries.
This indicator is intended for educational and analytical purposes only. It does not guarantee profitable results and should always be combined with proper risk management, protective stops, and independent judgment.
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Volume & Volatility Time-of-DayVolume & Volatility Time-of-Day (V+V TOD)
What it does
This is a diagnostic tool, not a signal generator. It answers one question for whatever instrument you put it on: at what times of day does this market typically wake up? It builds a time-of-day profile from the intraday history your chart has loaded and shows you the recurring windows where volume and volatility tend to expand — so you can be at your desk before they hit instead of reacting after.
How it works
For every minute-of-day slot (in a timezone you choose), the script accumulates two measurements across all the days on your chart, each compared to its own recent baseline:
Volume — the bar's volume ÷ a moving average of volume. A reading of 2.0× means volume at that time of day typically runs twice its baseline.
Volatility — Bollinger-Band width (the percentage distance between the bands) ÷ a moving average of that width. This captures when price ranges typically start expanding, independent of volume.
Because the two are measured separately, the panel shows both numbers side by side, which lets you see where they diverge: high volume on quiet bands often means churn/rotation, while bands blowing out on thin volume often means a news or stop-driven pop. They usually rise together, and the times they don't are informative.
The Heat Metric input lets you drive the on-chart heat from Volume only, Volatility only, the average of both, or whichever of the two is higher.
Baseline scope — you can measure each bar against a rolling trailing moving average (simple, but it spans the session break so a lingering high-volume session can shrink the next region's opens), or against a session average that resets at the start of each trading day, so each region (for 24-hour futures: Asia / London / New York) is judged against its own day rather than the one before it.
Reading it on the chart
The current bar is highlighted whenever its time-of-day is historically elevated. This "heads-up" is built only from prior closed bars, so it is non-repainting — it fires as the live bar opens based on that slot's history, and never redraws afterward. You can render the heat as SAR-style dots, a bottom ribbon, an offset heat line, recolored bars, or full-pane background — whichever is least intrusive for your chart.
The panel lists the active windows in chronological order starting from the current or next one, highlighting where you are now ("NOW") or counting down the minutes until the next window begins, with each window's typical Volume× and Volatility× peaks.
Inputs you can adjust
Timezone, the moving-average length, the volatility Bollinger length/multiplier, the threshold that defines a "window," the color-saturation cap, a minimum sample-size gate (a slot must have enough days of data before it's trusted), optional exclusion of specific times (e.g. the RTH open/close so they don't overshadow smaller intraday pockets), all display styles and colors, and the panel size/position.
Honest limitations
It uses the intraday history TradingView has loaded on your chart — the panel shows the day count so you know how much data the profile rests on. More history means a steadier profile; it is not a true rolling "last-N-days" calculation.
It measures tendencies, not certainties. A time of day that is usually active can be quiet on any given day, and vice versa. Nothing here predicts direction or price — it only describes when this instrument has historically become active.
It is intended as context for your own analysis, not as a standalone trading system. אינדיקטור
RoccoF-v4.4 What we built, piece by piece
1. The entry engine. We taught the script to see your setup structurally: a validated swing low (one that price rose from back to a previous high) gets swept → KEY LOW born → price rallies to the last swing high before the breakdown → RECLAIM → a sell-stop waits at the key low → the retest fills you short. Every level is defined by market structure, not time windows — which is why it works on 15m, 1H, and 4H alike.
2. The lifecycle rules. What happens when fresh structure appears mid-setup? We tested three philosophies (ratchet, orphans, fresh-wins) against your real charts and merged the best: fresh sweeps rebirth the setup, but a committed order survives as a "bridge" — it lives until the new setup confirms, catching the waterfall trades that pure replacement kept throwing away.
3. Risk management. Every trade risks exactly $100 — lot size computed from the stop distance, re-sized live as the stop (the rally high) moves. Wide stop = small lot, tight stop = big lot, every loss identical.
4. The take-profit — the hardest-won piece. Ten versions. We tried pivots, watched lows, key lows, distance filters in % and R... and every version, your eye said "not there." Then you did the homework that cracked it: your target was always the launchpad — the last low before price broke through the previous high. The base the breakout leg came from. C10 detects it at the exact break-of-structure moment, draws every live launchpad as a green line on your chart, purges it forever once swept, and parks your TP at the nearest survivor with a tighten-only ratchet so the limit is always waiting when price arrives. אסטרטגייה
BK AK-Iron RainBK AK-Iron Rain
Map the structure. Measure the auction. Track the sweep and response.
The “AK” in BK AK-Iron Rain is not branding—it is honor. It stands for my mentor, A.K.—the man whose guidance shaped my discipline, patience, market judgment, and respect for clean execution. I dedicate every indicator I build to his honor.
Above all, full credit and gratitude to G-d—the source of wisdom, timing, strength, and survival in this game.
BK AK-Iron Rain is a footprint-enhanced liquidity, auction, sweep, reversal, displacement, and execution-context framework.
It is designed to answer:
Where are the principal structural levels?
Which unswept levels carry the strongest current score?
Has price swept and reclaimed one of those levels?
Does footprint delta support or oppose the price response?
Is the market balanced, sweeping, or expanding directionally?
Has displacement created an active Fair Value Gap?
Do the available conditions support a directional setup?
The modules operate through one connected sequence:
Structural pivots → liquidity clustering → level scoring → sweep detection → footprint response → trap or reversal analysis → displacement → FVG tracking → execution context.
Footprint Core
Iron Rain uses TradingView footprint data to retrieve:
Buy volume
Sell volume
Volume delta
Total analyzed volume
Point of Control
Value Area High
Value Area Low
The Ticks Per Row input controls footprint-row aggregation. Smaller values provide finer segmentation, while larger values create broader rows.
The Value Area % input determines the percentage of footprint volume included within the calculated value area.
Footprint data is used to enhance level scoring, sweep analysis, reversal factors, displacement quality, POC context, and dashboard interpretation.
The footprint calculations do not display the full order book, resting liquidity, or the identity of individual market participants.
Liquidity Pool Mapper
The Liquidity Pool Mapper begins with confirmed chart and optional higher-timeframe pivots.
Nearby pivots are clustered into common price levels using an ATR-based distance threshold. Each tracked level records:
Price
Number of touches
First and most recent detection
Age
Higher-timeframe status
Proximity to prior daily or weekly levels
Proximity to round-number references
Footprint disagreement observed during tests
Swept or unswept status
Each level receives a relative score based on:
Touch count
Recency
Key-level confluence
Higher-timeframe origin
Footprint response
Time decay
The score ranks the script’s tracked levels against one another. It is not a probability that price will reach or reverse from the level.
Magnet Lines
The highest-ranked unswept levels can be displayed as Magnet Lines.
The script identifies directional reference levels above and below current price and uses them as potential structural objectives within the dashboard and execution panel.
A Magnet Line means the level ranks highly under the configured scoring model. It does not mean price is guaranteed to trade there.
Swept levels can be hidden or retained in a dimmed state.
Sweeps and Failed Breaks
A sweep is recorded when price moves through a tracked level and closes back across it according to the script’s reclaim conditions.
Iron Rain stores:
Swept price
Sweep direction
Footprint delta on the sweep
Age of the sweep
Associated level quality
A sweep does not independently establish reversal. It becomes more meaningful when followed by counter-delta, price reclamation, rejection, displacement, or additional structural confluence.
Auction Cycle Model
The cycle engine classifies the current condition into four model states:
Balanced Activity
Sweep Phase
Bullish Expansion
Bearish Expansion
Balanced Activity requires relatively low absolute delta compared with total volume while overall footprint volume remains active.
The Sweep Phase begins when a tracked structural level is swept after a qualifying balanced period.
Bullish or bearish expansion requires directional footprint delta and a candle body exceeding the configured ATR threshold.
These are rule-based auction classifications. They do not prove accumulation, manipulation, distribution, or market-maker activity.
Trap Analysis
The trap module evaluates a swept level during the configured reclaim window.
Its score can include:
Change between sweep delta and reclaim delta
Magnitude of reclaim delta
Speed of reclamation
Quality of the swept level
Session context
Higher-timeframe status
Key-level confluence
Value Area location
Prior footprint disagreement at the level
Optional filters can restrict visible trap markers to recent-range extremes with a minimum number of supporting factors.
A high trap score means more of the enabled conditions agree. It is not a success probability.
Reversal Signals
The reversal engine separately evaluates current-bar conditions near the upper or lower portion of the recent range.
Its four factors are:
Delta pressure weakening relative to the prior bar
Price testing a tracked structural level
POC forming near one side of the candle while price closes away from it
Total footprint volume substantially exceeding its average
A reversal arrow appears when the required number of factors align at a qualifying range extreme.
The arrow identifies a possible reversal condition. It does not guarantee that the current candle is the final high or low.
Displacement Scanner
A displacement condition requires:
Footprint delta materially above its smoothed average
A candle body exceeding the configured ATR multiple
Directional agreement between delta and the candle
The marker tooltip displays:
Direction
Delta
Body size in ATR units
Current POC
Displacement describes unusually strong directional participation and price movement. It does not guarantee continuation.
Fair Value Gaps
Iron Rain identifies three-candle bullish and bearish price gaps.
Each active FVG stores:
Upper boundary
Lower boundary
Midpoint
Direction
Age
Fill percentage
Footprint-based quality score
Delta strength
The visual treatment can distinguish stronger and weaker FVG scores.
An FVG is removed when it becomes fully filled or exceeds its configured maximum age.
The FVG quality score combines candle geometry, delta dominance, delta magnitude, POC location, and session weighting. It is a relative model score—not a probability that the gap will hold.
Value Area and POC
Iron Rain can display:
Bar-level POC markers
VAH
VAL
Shaded Value Area
Price above VAH is treated as trading above the current calculated value region.
Price below VAL is treated as trading below it.
Price inside the Value Area indicates trade within the footprint’s calculated high-volume region.
These relationships provide auction location, not automatic reversal or continuation instructions.
Sessions
The script supports configurable:
Asia session
London analysis window
New York analysis window
New York lunch period
Session context can contribute to setup and quality scores.
The London and New York windows receive configurable weighting, while lunch can receive reduced weighting.
This weighting reflects the model’s settings and does not guarantee that one session will outperform another.
Narrative Dashboard
The dashboard summarizes:
Footprint buy and sell volume
Delta and delta regime
POC, VAH, and VAL
Current auction-cycle state
Session
Most recent sweep
Recent trap score
Highest-ranked Magnet Line
Current displacement
Active bullish and bearish FVGs
Number of tracked liquidity levels
Its final row provides a compact interpretation of the current model state.
The dashboard is a summary surface. The underlying conditions should be reviewed before using its narrative.
Execution Panel
The Execution Panel combines eight checkpoints:
Auction-cycle state
Number of active liquidity levels
Freshness of the most recent sweep
Price location relative to Value Area
Recent trap score
Current or recent displacement
Distance to the nearest active FVG
Current session window
The resulting setup score ranges from 0 to 100.
The panel can display:
Scanning
Stalking
Triggered
Ready Long
Ready Short
Conflict
Managing
Directional bias is calculated from a weighted vote using sweep direction, trap direction, displacement, smoothed delta, and Value Area location.
The displayed confidence is the normalized strength of that internal vote. It is not a statistical win probability.
Targets reference the nearest qualifying Magnet Line in the direction of the bias.
Stop references use a recent sweep level or Value Area boundary when available.
Those levels are analytical references and not personalized trade instructions.
How to Use BK AK-Iron Rain
Use a standard OHLC chart on a market with footprint data available.
Set Ticks Per Row according to the instrument and timeframe. Smaller settings provide finer detail but can create noisier readings.
Review the liquidity map first. Identify active levels, Magnet Lines, higher-timeframe levels, and prior daily or weekly confluence.
Wait for interaction with a level. A tracked line alone is not a setup. Watch for a sweep, rejection, repeated test, or displacement.
Check the footprint response. Compare price movement with delta, POC location, total volume, and the Value Area.
Read the cycle state as context. Balanced activity represents compression, the Sweep Phase represents a level event, and Expansion represents directional movement after the model’s conditions align.
Evaluate trap and reversal evidence separately. Trap logic requires a prior sweep and reclaim. Reversal arrows evaluate current-bar exhaustion, rejection, POC, and volume factors.
Use FVGs as structural entry or reaction zones. Review direction, distance, fill percentage, and quality rather than treating every gap equally.
Read the execution panel last. The setup score summarizes the modules; it should not replace inspection of the underlying conditions.
Treat READY as qualified context—not an order. Confirm the directional bias with current price behavior and define risk independently.
Realtime Behavior and Limitations
Footprint values can change while the active candle forms.
TradingView footprint data can differ between real-time and later historical recalculation because the available intrabar source may change.
Chart pivots require right-side confirmation bars.
Higher-timeframe pivots can update while their source structure develops.
Liquidity labels represent modeled pivot clusters, not visible resting orders.
Sweep, trap, reversal, displacement, and cycle classifications can fail.
POC and Value Area depend on the selected footprint aggregation.
FVGs are price gaps and may fill immediately or provide no reaction.
The execution panel does not submit orders, model slippage, or manage positions.
Original Framework
Pivots, footprint delta, POC, Value Area, liquidity sweeps, AMD terminology, FVGs, ATR, and session analysis are established concepts.
The distinctive BK architecture is the dependency connecting:
ATR-clustered chart and higher-timeframe pivots
Time-decayed liquidity scoring
Footprint-response scoring at structural levels
Ranked directional Magnet Lines
Persistent sweep memory
Auction-cycle classification
Reclaim-based trap scoring
Current-bar reversal-factor analysis
Footprint-qualified displacement
Quality-ranked FVG tracking
A narrative dashboard
An eight-checkpoint execution panel
Structure identifies the level. Footprint measures participation. The sweep creates the event. Reclamation or displacement reveals the response. The execution panel summarizes the evidence.
Risk Disclosure
BK AK-Iron Rain is provided for analytical and educational purposes.
It does not provide investment advice, guarantee performance, identify institutional intent with certainty, or eliminate trading risk.
Users remain responsible for their own analysis, entries, exits, position sizing, stops, execution, and account risk.
Map the level. Measure the response. Respect the invalidation. אינדיקטור
אינדיקטור
Opening Range Breakout ToolWhat it does
This tool builds the opening range — high, low and midpoint — from the first N minutes
of a trading session you define, draws it on your chart, and marks the first bar that
breaks either side of the range. One marker per side per session, so your chart stays
readable.
The session is anchored to a named timezone (New York by default), not to the chart or
exchange timezone. That means a "09:30 open" stays 09:30 all year, on both sides of
every daylight-saving change — a detail many session tools get wrong twice a year.
How to use it
- Use an intraday chart with the timeframe at or below the range duration (for the
default 15-minute range, a 1 to 15 minute chart). The tool shows a warning in the
corner if the chart is misconfigured.
- *Trading session* + *Session timezone*: defaults are the US equity cash session,
09:30–16:00 New York. Set any session you like — London open, Tokyo open, a futures
open — in its own timezone.
- *Opening range duration*: how many minutes after the open the range is built from.
- *Require CLOSE beyond the range*: on (default), a breakout needs a full bar close
beyond the level; off, a wick beyond is enough. Both are evaluated at bar close.
- Display togges for the range box, midpoint line and price labels; all colours are
configurable.
Alerts
Three alert events, all fired on confirmed bar close, once per session per side:
- Opening range set (off by default) — with the range high and low in the message
- OR high broken
- OR low broken
Create one alert on the symbol with condition "Any alert() function call" and trigger
"Once Per Bar Close" — the script sends the right message for each event.
Limitations, stated honestly
- Intraday only. The levels stop extending at the session end.
- Signals are evaluated on bar close, so the marker appears when the breaking bar
completes — this is deliberate (no intrabar repainting), but it means the alert
arrives at the close of the breakout bar, not the instant price crosses the level.
- The very first session at the far left of your loaded history can be partial if the
chart data starts mid-session.
- A breakout marker is information about the range, not a trade signal. What you do
with it is your decision and your responsibility.
Questions and feature requests are welcome in the comments. אינדיקטור
