Concord Execution Mandate [JOAT]Concord Execution Mandate
Introduction
Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger.
The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls.
Core Concepts
1. Regime And Context Layer
The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution.
2. Structural And Rotation Triggers
Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA.
3. Soft Alignment Model
Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting.
4. Risk Management
Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially.
Features
Adaptive regime filter: Core state engine for directional context
Higher-timeframe bias: Optional EMA-based external direction filter
Structure triggers: Confirmed BOS logic using stored pivots
Continuation and rotation entries: Additional execution paths beyond BOS
Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring
Reversion reclaim logic: Optional re-entry through a mean basis before entry
Divergence safety filter: Optional block on fresh opposing divergence
ATR and structure-based stops: Dynamic risk anchoring
Reward targets and ATR trailing: Structured exit management
Context-flip exits: Early closure when regime or bias reverses
Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties
Default Strategy Properties
Initial capital: 100000
Default order size: 5 percent of equity
Commission: 0.02 percent
Slippage: 2 ticks
Order processing: on bar close
Pyramiding: 0
How to Use This Strategy
Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed.
Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample.
Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested.
Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results.
Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment.
Strategy Limitations
This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals
More aggressive settings can increase trade count at the cost of lower selectivity
Higher-timeframe bias can conflict with local execution context during turning points
Backtest results depend on symbol, timeframe, session behavior, and execution assumptions
This strategy is designed to be realistic, not optimized for one narrow market condition
Originality Statement
Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management.
-Made with passion by jackofalltrades
Strategy
Parallax Covenant Strategy [JOAT]Parallax Covenant Strategy
Introduction
Parallax Covenant Strategy is an open-source, non-repainting PulseWire strategy that integrates multiple analytical engines into one realistic execution framework. It combines regime detection, pressure confirmation, mapped bias, structure context, wave release logic, and ATR-based risk management to produce entries and exits only when several independent conditions agree.
The problem this strategy solves is weak single-factor trading. A crossover alone is rarely enough. A structure break alone is often early. A momentum spike alone can be noisy. Parallax Covenant requires alignment between regime, internal pressure, mapped bias, structural context, and release behavior before taking a trade. This creates a more selective, context-aware model than a one-indicator strategy.
Core Concepts
1. Composite Regime Engine
The strategy builds a directional regime from a structural baseline, tolerance corridors, and expansion/compression state. This acts as the primary directional context.
2. Pressure Confirmation
An internal pressure model blends weighted candle force and channel position to avoid taking trades simply because price is above or below a baseline.
3. Mapping and Higher-Timeframe Bias
The strategy uses a mapped momentum framework and an optional confirmed higher-timeframe bias filter so lower-timeframe entries can align with broader conditions.
4. Structure and Release Filters
Demand and supply context, swing structure, and release-from-compression logic help prevent entries from firing in the middle of low-quality noise.
5. Realistic Risk Management
The strategy uses ATR-based stops, reward-to-risk targets, optional trailing logic after a minimum multiple of risk, and regime-failure exits. This makes the model more realistic than fixed-tick toy strategies.
Features
Multi-engine entry stack: Regime, pressure, mapping, structure, and release alignment
Confirmed-bar logic: Entry conditions are evaluated on confirmed bars
Optional higher-timeframe bias filter: Uses confirmed higher-timeframe values
Demand and supply context: Trade logic includes structural location awareness
ATR stop and target model: Risk adjusts to symbol volatility
Trailing stop activation: Trail can engage after a defined reward threshold
Regime-failure exit: Closes trades when core directional conditions break down
Maximum time-in-trade control: Avoids stale positions
Institutional dashboard: Top-right strategy state summary
Alertconditions: Regime shifts, releases, and setup confirmations
How to Use This Strategy
Step 1: Study the Dashboard
The dashboard shows whether the system currently sees bullish, bearish, or balanced conditions and how the internal engines align.
Step 2: Understand the Entry Stack
Trades only trigger when multiple conditions confirm together. If you see a setup fail to trigger, that is often intentional filtering rather than a bug.
Step 3: Respect the Risk Model
Stops and targets are volatility-based. Results will vary materially across symbols and timeframes because the strategy adapts to local ATR conditions.
Step 4: Evaluate by Regime, Not by Individual Trade
This strategy is meant to be judged over a broad sample. It is a context-and-confirmation model, not a scalping script trying to predict every turn.
Strategy Limitations
The strategy is intentionally selective and may skip many charts or periods
Higher-timeframe confirmation uses confirmed data and can therefore feel slower than live-developing bias models
ATR-based exits adapt to volatility, which means trade statistics can shift significantly across markets
No strategy can remove all adverse conditions, especially during sudden event-driven repricing
Originality Statement
Parallax Covenant Strategy is original in the way it integrates multiple distinct analytical engines into one non-repainting framework. It is not a basic moving average crossover, not a single-oscillator strategy, and not a toy example of ATR stops. Its value comes from requiring alignment between market regime, internal pressure, mapped bias, structure, and release conditions before entering risk.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Historical backtest results do not guarantee future performance. Always use realistic expectations, proper risk management, and independent judgment.
- Made with passion by jackofalltrades
Strategy
Liquidity Timeframe Stack Map [AGPro Series]Liquidity Timeframe Stack Map
🧠 Core Idea
Are lower-timeframe liquidity sweeps aligned with the higher-timeframe liquidity shelf, or are they fighting the broader structure?
📌 Overview / What it does
Liquidity Timeframe Stack Map is a multi-timeframe liquidity context tool built to compare current-chart sweep behavior with higher-timeframe liquidity shelves.
The script maps the latest confirmed higher-timeframe upper and lower liquidity shelves, detects local buy-side and sell-side sweeps, evaluates wick-based reaction quality, and converts the result into a readable stack state.
It does not predict price direction, automate trades, or claim that every sweep will create a reversal. It is designed as a structured market context and visualization tool.
🎯 Purpose & Design Philosophy
This script was built to solve a common liquidity-reading problem:
A lower-timeframe sweep can look important by itself, but its meaning changes when it happens near a higher-timeframe shelf.
The goal is to help traders separate aligned liquidity reactions from isolated local noise. The script supports a context-first mindset: read the shelf, read the sweep, then judge whether the reaction is aligned or conflicting.
⚡ Why This Script Is Different
Most liquidity tools focus on detecting a sweep, stop run, equal high, or equal low.
This script does NOT treat every sweep as equally important.
Instead, it compares the local sweep against a higher-timeframe liquidity framework and classifies whether the move is a stack alignment, a stack conflict, or a neutral shelf interaction.
⚙️ Methodology
1. Higher-Timeframe Shelf Detection
The script reads confirmed pivot structure from the selected higher timeframe and builds active upper and lower liquidity shelf zones.
2. Local Sweep Detection
The chart timeframe is used as the lower-timeframe layer. Local buy-side and sell-side sweeps are detected when price takes a recent pivot level and closes back through it.
3. Reaction Evaluation
The script evaluates wick reaction quality after the sweep. Stronger wick rejection or reclaim behavior produces a higher reaction quality score.
4. Stack Classification
The script checks whether the local sweep occurred near the relevant higher-timeframe shelf. If the sweep and shelf context align, the script marks an HTF Buy Stack or HTF Sell Stack. If the sweep fights the broader shelf context, it marks a Stack Conflict.
5. Visual Output
The result is displayed through HTF shelf zones, sweep markers, stack labels, right-side tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Upper HTF Liquidity Shelf = the active higher-timeframe upper liquidity reference.
Lower HTF Liquidity Shelf = the active higher-timeframe lower liquidity reference.
Buy-Side Sweep marker = price swept a local upper liquidity reference and closed back below it.
Sell-Side Sweep marker = price swept a local lower liquidity reference and closed back above it.
HTF Buy Stack label = a sell-side sweep reacted near the lower HTF shelf with enough reaction quality.
HTF Sell Stack label = a buy-side sweep reacted near the upper HTF shelf with enough reaction quality.
Stack Conflict label = the local sweep behavior is not cleanly aligned with the broader HTF shelf context.
Panel = summarizes stack state, stack score, HTF shelves, LTF sweep state, reaction quality, next context, and invalidation reference.
🚦 Signals & States
• HTF BUY STACK → sell-side liquidity was swept near the lower higher-timeframe shelf with a qualifying reaction.
• HTF SELL STACK → buy-side liquidity was swept near the upper higher-timeframe shelf with a qualifying reaction.
• STACK CONFLICT → local sweep behavior is fighting or confusing the broader shelf context.
• LOWER SHELF → price is interacting with the lower HTF shelf area, but no full stack event is active.
• UPPER SHELF → price is interacting with the upper HTF shelf area, but no full stack event is active.
• NEUTRAL → no active shelf alignment or conflict is detected.
🔔 Alerts Logic
Alerts trigger when a new major stack condition appears.
• HTF Buy Stack Alignment → a sell-side sweep aligns with the lower higher-timeframe liquidity shelf.
• HTF Sell Stack Alignment → a buy-side sweep aligns with the upper higher-timeframe liquidity shelf.
• Liquidity Stack Conflict → the local sweep direction conflicts with the broader higher-timeframe shelf context.
• HTF Liquidity Shelf Touch → price enters either active higher-timeframe shelf zone.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when these elements align:
• Price is near an active higher-timeframe shelf
• Local liquidity is swept
• The candle closes back through the swept level
• Wick reaction quality is strong
• The panel state and chart label agree
When these elements do not align, the script treats the context as neutral or conflicting instead of forcing a directional interpretation.
📊 When to Use
• Multi-timeframe liquidity analysis
• Swing and intraday market preparation
• Smart-money-style structure review
• Sweep and reclaim evaluation
• Context checks before interpreting local reactions
• Markets where higher-timeframe levels matter
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy lower timeframes
• Markets with unreliable wick structure
• Situations where the selected higher timeframe is not meaningful
• Assets with large gaps or inconsistent session data
• Moments when a single local candle should not be over-interpreted
🎛️ Key Inputs
• Higher Timeframe Shelf → selects the timeframe used to build the broad liquidity shelves.
• HTF Shelf Pivot Length → controls how strict the higher-timeframe shelf structure is.
• LTF Sweep Pivot Length → controls how local sweep references are detected.
• Shelf Zone Width ATR → adjusts the visual thickness of HTF shelf zones.
• Max Shelf Width % Range → caps shelf thickness relative to the distance between the upper and lower HTF shelves, keeping the visual structure clean on wide timeframes.
• Near Shelf Distance ATR → controls how close a sweep must be to a shelf to count as aligned.
• Reaction Quality Threshold → sets the minimum wick reaction required for a strong stack event.
• Stack Score Smoothing → smooths the panel score for cleaner interpretation.
• Visual settings → control shelves, equilibrium line, sweep markers, event labels, right-side tags, and font sizes.
• Show Sweep Marker Letters → adds optional BS / SS text to local sweep markers. The default publication view keeps this disabled for a cleaner chart.
• Event Label Mode → Premium labels only strong HTF stack alignments. Detailed also labels stack conflicts.
• Adaptive Label Layout → automatically shortens and separates shelf labels when higher timeframes compress the HTF shelf cluster.
• Event Label Offset ATR → moves stack event labels farther from candles and shelf-center labels. HTF Sell Stack labels are pushed above the upper shelf zone, while HTF Buy Stack labels are pushed below the lower shelf zone to reduce overlap on publication screenshots.
• Right-side tags use adaptive positioning so the STACK tag avoids crowding the HTF UPPER and HTF LOWER tags when price is near a shelf.
🖥️ Interface & Visual Design
The interface is built around a clear visual hierarchy:
HTF shelves show the broader liquidity map.
Sweep markers show local liquidity events.
Stack labels show important alignment or conflict moments.
The AG Pro panel compresses the current state into a fast, readable decision-support summary.
🧪 Practical Usage Workflow
1. Start with the panel state.
2. Check where price is relative to the HTF upper and lower shelves.
3. Look for a recent buy-side or sell-side sweep marker.
4. Read the event label only if the sweep happened near the relevant shelf.
5. Use Reaction Q and Stack Score to judge whether the context is clean or weak.
6. Interpret the result inside the broader market structure.
🔍 Interpretation Guidelines
HTF Buy Stack does not mean price must go up. It means a sell-side sweep reacted near a lower higher-timeframe shelf with enough quality to deserve attention.
HTF Sell Stack does not mean price must go down. It means a buy-side sweep reacted near an upper higher-timeframe shelf with enough quality to deserve attention.
Stack Conflict is often more useful as a warning than as a signal. It tells the trader that the local sweep and broader shelf context are not cleanly aligned.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It does not claim that every liquidity sweep will reverse.
⚠️ Limitations & Transparency
Higher-timeframe pivot shelves are confirmed after structure develops, so they are not instant future levels.
Different chart timeframes may create different local sweep readings.
Very volatile markets may generate fast shelf touches without clean reactions.
Low-liquidity symbols may produce misleading wick behavior.
The selected higher timeframe should match the trader’s actual analysis horizon.
🧠 Market Context Notes
Liquidity analysis is strongest when local behavior is interpreted inside a broader structure.
A sweep near a meaningful higher-timeframe shelf can carry more information than a random sweep in the middle of a range.
This script is designed to make that distinction visible.
🧾 Use Case Examples
When price sweeps local sell-side liquidity near the lower HTF shelf and closes back above the swept level, the script may mark HTF BUY STACK if reaction quality is strong enough.
When price sweeps local buy-side liquidity near the upper HTF shelf and closes back below the swept level, the script may mark HTF SELL STACK if reaction quality is strong enough.
When a local sweep appears away from the relevant higher-timeframe shelf, the script may classify the move as neutral or conflicting.
🧱 System Philosophy
The script follows a context-first AGPro approach:
Structure first.
Liquidity second.
Reaction third.
Decision support last.
It is designed to reduce isolated signal thinking and encourage multi-timeframe interpretation.
🔐 Non-Promise Statement
No script can guarantee outcomes.
No shelf, sweep, score, or label should be treated as certainty.
The output should always be combined with broader market context and personal risk rules.
📉 Risk Disclosure
Trading involves risk.
Markets can move against any interpretation.
This script is for educational and analytical purposes only.
Users are fully responsible for their own decisions.
📚 Educational Note
Use this script to study how lower-timeframe liquidity behavior changes when it is read against higher-timeframe structure.
Indicator
Buy and Sell Candle PressureBuy and Sell Candle Pressure takes the candle-pressure model used in my closed-source script "Predictive Volume MTF Pro" workflow and brings that Buy/Sell pressure read directly onto the price chart. Instead of viewing the Buy/Sell split only inside a table, the candles themselves can now show whether the active candle structure is leaning bullish, bearish, neutral, or moving through stronger pressure tiers.
The goal is simple:
• keep the real OHLC candle shape intact
• recolor the candle body, wick, and border from the candle-pressure engine
• make candle-by-candle pressure easier to see directly on the chart
• add local and higher-timeframe bias trails for extra context
This is not meant to replace the main Predictive Volume dashboard. It is meant to be a lightweight visual companion that helps bring the Buy/Sell pressure read into your chart space.
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What the Candle Colors Represent
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The candle overlay uses a candle-structure pressure estimate built from OHLC and volume behavior.
The pressure model looks at more than just whether a candle closed green or red. It considers:
• where the close sits inside the full candle range
• how much directional conviction is shown by the candle body
• how upper and lower wicks may reflect rejection, absorption, or imbalance
That pressure score is then converted into a rounded Buy/Sell split and used to color the candle overlay.
Important:
This is not true order flow, bid/ask volume, or exchange-level volume delta. It is a candle-structure pressure estimate designed to give visual context from the candle itself.
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Bias Modes
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The script includes two candle color modes:
Standard
A simple bull / bear / neutral color mode.
This is the cleanest option if you only want to know whether the candle-pressure read is leaning toward buy pressure, sell pressure, or balance.
Standard II
A stronger tiered color mode.
This mode expands the Buy/Sell pressure split into multiple bull and bear intensity levels. Lighter colors represent earlier pressure development, while stronger colors represent more aggressive Buy/Sell pressure readings.
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Pressure Bias Trail
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The Pressure Bias Trail is a rolling price-bias reference line designed to pair with the pressure candles.
In plain terms:
• candles show current-bar Buy/Sell pressure
• the Pressure Bias Trail shows the local rolling price-bias reference
The trail is calculated from the selected price source, average type, and length. Its color is based on whether the current close is above or below the trail.
This gives the chart two layers of context:
• candle pressure = what the current candle is showing
• trail position = whether price is holding above or below its rolling bias reference
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HTF Pressure Bias Trail
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The HTF Pressure Bias Trail applies the same trail formula on an automatically selected higher timeframe.
The HTF value is stabilized using SimpleCryptoLife’s HighTimeframeSampling library so the higher-timeframe trail behaves more smoothly on the active chart timeframe.
This can help users compare:
• current candle pressure
• local rolling price bias
• higher-timeframe rolling price bias
When price is above both the local and HTF trails, the chart can show stronger alignment. When price is trapped between them, fading through one, or repeatedly rejecting one, the trails can provide useful context around pressure transitions.
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Included Visual Tools
────────────────────────────
• Buy/Sell Pressure Candle Overlay
• Standard and Standard II pressure color modes
• Chart-timeframe Pressure Bias Trail
• HTF Pressure Bias Trail
• Bar-to-Bar Close Follow Line
• Last-Bar Index Follow Line
• Last-Bar Buy/Sell + Pressure Label
The pressure label shows the rounded Buy/Sell split on the first line and the normalized pressure value on the second line. It can auto-position above bullish pressure and below bearish pressure.
────────────────────────────
How I Use It
────────────────────────────
I view this script as a chart-side pressure layer.
The main Predictive Volume + MTF script gives the broader table-based multi-timeframe volume view. This script brings one important part of that workflow — candle pressure — directly onto the candles.
Useful ways to read it:
• Standard II candles can highlight stronger Buy/Sell pressure tiers
• the local Pressure Bias Trail can show whether price is holding its short-term bias
• the HTF Pressure Bias Trail can show where higher-timeframe bias may be acting as context
• the pressure label gives a quick last-bar read without needing a full table
This is not a buy/sell signal system by itself. It is a visual context tool.
────────────────────────────
Companion Script
────────────────────────────
This script is designed to work hand in hand with:
Predictive Volume + MTF
Predictive Volume + MTF remains the larger dashboard-style workflow for multi-timeframe predictive volume, current volume, previous volume, average volume, relative volume, and Buy/Sell pressure context.
Buy and Sell Candle Pressure is the lightweight open-source candle-overlay companion.
────────────────────────────
Attribution
────────────────────────────
Special thanks to SimpleCryptoLife for the original Predictive Volume foundation and for the HighTimeframeSampling library used to stabilize the HTF Pressure Bias Trail.
This open-source script is published as a companion visualization layer for "Predictive Volume + MTF ".
Indicator
HTF Candles [EXCAVO]Higher Timeframe Candles in a Panel to the Right of the Chart
The HTF Candles indicator renders higher timeframe candles in a
dedicated panel to the right of all chart data. Each completed HTF candle
is drawn as a solid semi-transparent box (body) with color-matched wick
lines. The currently forming candle uses a dashed outline and updates in
real time. Nothing is drawn when the chart timeframe is equal to or higher
than the selected HTF.
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▸ HOW TO USE
Step 1 → Add the indicator on a lower timeframe chart (e.g., 5m or
15m). The HTF panel appears to the right of all candles.
Step 2 → Default HTF is 1H. Change it in settings to match the
context you trade (4H, D, etc.).
Step 3 → Solid boxes are completed HTF candles. Blue = bullish,
red = bearish.
Step 4 → The rightmost dashed box is the currently forming HTF
candle - it updates live on every bar close.
Step 5 → Set alerts for HTF Bullish or Bearish Candle Close to be
notified when the HTF period ends.
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▸ HOW IT CALCULATES
◆ HTF OHLC via Built-In Resampling
The indicator uses request.security() with lookahead_off to fetch the
current HTF candle's OHLC on every bar:
= request.security(ticker, htf, )
Without lookahead, these values reflect only confirmed data up to the
current bar - no future leaking.
◆ Candle Completion Detection
A new HTF candle is detected using ta.change(time(htf_tf)). When the time
bucket changes, the previous candle is complete. At that moment:
htf_o , htf_h , htf_l , htf_c = OHLC of the completed candle
These are pushed to history arrays (up to History Count entries), and
the oldest entry is trimmed when the limit is reached.
◆ Panel Positioning
All candles are drawn to the right of the last chart bar:
x1 = bar_index + right_margin + i x (candle_width + gap)
x2 = x1 + candle_width
Positions are recalculated on every barstate.islast update. Previous
drawing objects are deleted and rebuilt each bar so the panel always
aligns with the current last bar as new data arrives.
◆ Completed Candle Rendering
Each completed candle is drawn as:
- Body: box from max(open, close) to min(open, close)
- Upper wick: line from high to body top (only if high > body top)
- Lower wick: line from body bottom to low (only if low < body bottom)
◆ Current Candle (Dashed)
The forming candle uses the same box for fill but replaces the solid
border with four dashed lines (top, bottom, left, right edges) and
dashed wick lines. The body color reflects the live direction -
bullish (blue) if close >= open, bearish (red) otherwise.
◆ Timeframe Label Pinning
The HTF label above the panel is anchored to the highest candle in the
HTF panel (not the chart's overall high). This keeps the label stable
above the panel as price moves on the underlying chart.
◆ Timeframe Guard
The indicator checks timeframe.in_seconds() < timeframe.in_seconds(htf).
If the chart timeframe is equal to or higher than the HTF, no panel is
drawn.
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▸ WHAT MAKES IT DIFFERENT
◆ Panel to the Right - No Overlap
HTF candles are positioned past the last chart bar so they never cover
price action. The panel shifts automatically as new bars arrive.
◆ Dashed Forming Candle
The current unfinished HTF candle is visually distinct (dashed outline)
so it is never confused with confirmed history.
◆ Stable Timeframe Label
The HTF label is pinned to the highest candle inside the panel itself
rather than the chart's overall high. The label position stays consistent
relative to the HTF panel even when underlying chart prices spike outside
the panel range.
◆ Non-Repainting OHLC
request.security() with lookahead_off ensures that completed candle
values are final before they are committed to history. No retrospective
changes occur to completed boxes.
◆ Timeframe Guard
The indicator automatically disables itself when the chart timeframe is
greater than or equal to the selected HTF — no panel is drawn,
preventing meaningless output.
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▸ LEGEND
Legend table (bottom left) explains the visual elements:
▮ (blue) - Bullish completed HTF candle (solid outline)
▮ (red) - Bearish completed HTF candle (solid outline)
┅ (blue) - Currently forming HTF candle (dashed outline)
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▸ SETTINGS
HTF Settings
HTF Timeframe - 60 (1H by default)
History Count - 5 (completed HTF candles to keep visible)
Show Current Candle - ON (show the forming candle with dashed outline)
Visualization
Bullish Color - blue (customizable)
Bearish Color - red (customizable)
Candle Width (bars) - 5 (width of each candle box)
Gap Between Candles - 2 (spacing between boxes)
Right Margin (bars) - 10 (distance from last chart bar to panel)
Dashboard
Show Legend - ON
Alert Settings
Allow Repainting - OFF
JSON Alerts - OFF
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▸ ALERTS
HTF Bullish Candle Close - HTF candle closed bullish (close >= open)
HTF Bearish Candle Close - HTF candle closed bearish (close < open)
HTF Candle Close - any HTF candle closed
JSON payloads include direction, ticker, price, timeframe, htf, and indicator tag.
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Best regards,
EXCAVO
Disclaimer
Trading involves significant risk. This indicator is a technical analysis tool
and does not constitute financial advice, investment recommendations, or a
guarantee of future results. Past indicator behavior does not guarantee future
performance. Always use proper risk management and your own judgment.
Indicator
Indicator
Crossframe Bias Ledger [JOAT]Crossframe Bias Ledger
Introduction
Crossframe Bias Ledger is an open-source non-repainting higher-timeframe bias overlay built to align an intermediate timeframe, a major timeframe, and the local chart into one directional map. It uses safely delayed `request.security()` calls, crossframe basis clouds, premium/discount rails, alignment boxes, execution-state labels, and an optional TP/SL scaffold on fresh confirmed alignment shifts.
The script solves directional context across timeframes. Many local signals fail because they are taken against dominant higher-timeframe structure. Crossframe Bias Ledger keeps the user anchored to higher-timeframe alignment while still making the output actionable on the trading timeframe.
Core Concepts
1. Safe Higher-Timeframe Requests
All higher-timeframe values are retrieved using delayed indexing so incomplete higher-timeframe bars do not leak into the current chart:
idxHigher = barstate.isrealtime ? 1 : 0
idxCurrent = barstate.isrealtime ? 0 : 1
2. Primary and Secondary Trend Stacks
Fast, slow, and signal EMAs are retrieved from two higher timeframes and converted into directional scores.
3. Premium / Discount Map
The two higher-timeframe bases define a premium/discount zone. Price trading above the upper rail is treated as premium. Price trading below the lower rail is treated as discount. Price between them is treated as rebalancing.
4. Fresh Alignment Shifts
When the crossframe score crosses into confirmed bullish or bearish alignment, the script marks this as a fresh state transition and can build an informational TP/SL ladder.
5. Rebalance vs Continuation Logic
The script distinguishes rebalancing entries inside the premium/discount box from continuation conditions outside it.
Features
Non-repainting crossframe logic: Uses safely delayed higher-timeframe requests
Dual cloud system: Primary and secondary timeframe clouds on the chart
Premium / discount rails: Crossframe valuation map between the two HTF bases
Bias box: Forward execution window for the current crossframe state
Fresh alignment detection: Distinguishes a new bull/bear shift from an already active state
Continuation and rebalance readouts: Shows whether price is extending or rebalancing
Optional TP/SL ladder: Informational scaffold for new alignment shifts
Top-right dashboard: Displays state, signal, timeframe bias, location, execution mode, basis, and score
How to Use This Indicator
Step 1: Read whether the state is aligned up, aligned down, or mixed.
Step 2: Check if price is trading in premium, discount, or rebalance territory.
Step 3: Use fresh shifts to identify new state transitions. Use continuation and rebalance readings to differentiate execution style.
Step 4: Keep local entries aligned with the dominant crossframe bias whenever possible.
Indicator Limitations
Higher-timeframe logic is intentionally delayed for safety, so it will not react as quickly as unstable lookahead-based implementations
Premium/discount interpretation depends on the chosen timeframes
Mixed states are intentional and may persist when higher timeframes disagree
The TP/SL ladder is informational and does not place trades
Originality Statement
Crossframe Bias Ledger is original in the way it combines safe higher-timeframe delay logic, dual-basis premium/discount mapping, fresh alignment shifts, and execution-state scaffolding into one open-source overlay. The script is intended to provide a reusable top-down directional framework rather than a generic MTF trend line.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Higher-timeframe alignment may still fail, reverse, or become mixed as new data forms. Always use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Indicator
Harborside Regime Channel [JOAT]Harborside Regime Channel
Introduction
Harborside Regime Channel is an open-source regime-mapping indicator built to classify whether the market is expanding, compressing, reclaiming balance, or losing structural support inside a live adaptive channel.
The script is designed for traders who need context before they interpret any other signal.
Instead of asking only whether price is above or below a moving average, Harborside studies a pivot-fed centerline, adaptive outer rails, higher-timeframe directional agreement, and volatility compression state at the same time.
The result is a channel that behaves more like an institutional market map than a simple trend overlay.
The problem Harborside solves is regime clarity.
Many trend tools keep printing directional color even while the market is actually compressing inside a narrowing structure.
Many channel tools show a band but do not explain whether that band is healthy, fragile, extended, or aligned with higher-timeframe pressure.
Harborside addresses that by combining channel structure, expansion behavior, and higher-timeframe bias in one chart-first framework.
Core Concepts
1. Pivot-Fed Structural Center
Harborside does not anchor its regime center to a fixed moving average alone.
Instead, confirmed swing highs and swing lows are used to build a rolling center reference.
That center is then smoothed to create a structural balance line.
This matters because the center is linked to confirmed market geometry rather than only to lagging price averages.
The channel therefore breathes with the underlying structure of the market.
2. Adaptive Outer Rails
The upper and lower rails are derived from ATR-scaled expansion around the structural center.
This means the channel naturally widens when volatility expands and contracts when price compresses.
Because the rails are smoothed, they remain readable instead of flickering excessively during intrabar noise.
This creates a cleaner map for determining whether price is stretching, reverting, or breaking into a new directional phase.
3. Regime Flips on Confirmed Structural Breaks
A bullish regime is not assigned merely because price is green for a few bars.
A regime flip occurs when price confirms through the adaptive outer band in the relevant direction.
That regime is then maintained until the opposing side is confirmed.
This makes the indicator more stable than reactive color-on-close style tools.
4. Compression Detection
Harborside measures band width relative to its own historical baseline.
When the band compresses below the configured threshold, the script identifies a meaningful reduction in expansion state.
This compression state is important because trend-following logic behaves very differently when the market is coiled than when it is already moving freely.
Compression is shown directly on the chart and carried into the dashboard state.
5. Projection Rails
The script extends projected center, upper, and lower rails forward using current center slope and ATR-scaled projection logic.
These projected rails are not predictions in the magical sense.
They are forward references showing where the current regime geometry would continue if the active slope persists.
That gives the trader a usable visual frame for stretch, continuation, and mean-reversion decisions.
6. Higher-Timeframe Bias Alignment
Higher-timeframe bias is requested using offset logic intended to avoid repaint-style behavior from incomplete higher-timeframe bars.
Fast and slow higher-timeframe EMA structure is used to determine whether broad directional pressure is supportive, opposing, or neutral.
Harborside does not force the higher-timeframe filter on the user.
It can be enabled or disabled depending on workflow.
7. Regime Health and Confidence
Harborside includes a confidence-style scoring model built from displacement, slope, compression state, and directional bias alignment.
This score is not intended to be a trade system on its own.
It is a context gauge.
A high score means the active regime has cleaner structural support.
A low score means the visible state is weaker or more fragile.
Features
Pivot-fed centerline: The regime center is anchored to confirmed swing structure rather than a static average alone
Adaptive outer rails: ATR-scaled bands expand and contract with changing volatility conditions
Confirmed regime flips: Bull and bear states change only after confirmed structural breaks through the active channel rails
Compression box: Important volatility contraction zones are shown directly on the chart instead of being hidden in a separate pane
Projection rails: Forward rails extend the current channel geometry into future bars for context and stretch awareness
Higher-timeframe bias filter: Optional HTF directional alignment helps separate local moves from larger directional pressure
Regime-colored candles: Candle coloring reflects the active state without relying on cluttered symbols or arrows
Band cloud rendering: The active channel body is filled to make directional structure readable at a glance
Health and confidence diagnostics: The dashboard summarizes regime quality in compact form
Six-row dashboard: The display was intentionally reduced so the chart remains the primary source of information
Confirmed-bar alerts: Alerts are available for regime flips, compression holds, center reclaims, HTF alignment, and high-health states
Input Parameters
Channel Structure:
Swing Length: Number of bars required on both sides to confirm pivots used by the structural center
Band Multiplier: ATR multiplier used to define the channel width
Center Smoothing: Smoothing applied to the structural midpoint
Band Smoothing: Smoothing applied to the upper and lower rails
Bias and Context:
Bias Timeframe: Higher timeframe used for optional directional confirmation
Compression Lookback: Baseline window used to measure channel contraction
Compression Threshold: Band-width threshold below which the market is treated as compressed
Volume Bias Filter: Volume impulse threshold used to label directional support
Projection:
Projection Bars: Number of bars projected forward
Projection ATR Multiplier: Width factor used for forward rails
Projection Slope Multiplier: How strongly current center slope influences the forward center projection
Display:
Show Band Cloud toggle
Show Compression Box toggle
Show Projection Rails toggle
Recolor Candles toggle
Show Dashboard toggle
How to Use This Indicator
Step 1: Read the State from the Chart First
Start with the channel itself.
Is price controlling the upper side of the structure, the lower side, or compressing near the center?
The rails and cloud are meant to answer that visually before the dashboard is consulted.
Step 2: Check Compression Before Chasing Direction
If the compression box is active, treat the market as coiled rather than trending cleanly.
That does not mean price cannot move.
It means breakout quality matters more than ordinary directional drift.
Step 3: Use Projection Rails as Forward Reference
Projection rails are best used for context.
If price is already far outside projected geometry, the market may be stretched.
If price is traveling inside projected structure, continuation is behaving more normally.
Step 4: Compare Local Regime to HTF Bias
If the local regime and higher timeframe agree, directional conditions are cleaner.
If they disagree, treat the move with more caution.
That disagreement often marks either a pullback or a weak local thrust against broader pressure.
Step 5: Use Health and Confidence as Filters, Not Commands
High confidence does not guarantee follow-through.
Low confidence does not guarantee failure.
The score is there to grade structural quality, not to replace decision-making.
Indicator Limitations
Pivot-based structure is intentionally confirmed after the swing forms, so the centerline will never anticipate future pivots
Projection rails are structural references, not forecasts of what price must do next
HTF alignment is delayed by design because the script uses completed higher-timeframe values for safer non-repainting behavior
Compression can persist longer than expected, so directional patience is still required
Harborside is a context framework and should not be treated as a guaranteed entry system on its own
Originality Statement
Harborside Regime Channel is original in the way it combines a pivot-fed structural center, ATR-adaptive regime rails, explicit compression logic, forward projection rails, and optional higher-timeframe agreement into one coherent chart-first overlay.
The value of the script is not any one component in isolation.
It is the way those components interact to show whether the market is healthy, stretched, compressing, or structurally aligned.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not provide financial advice, investment advice, or trading recommendations.
Any regime reading can fail, reverse, or degrade suddenly due to news, liquidity changes, or ordinary market uncertainty.
Always use independent confirmation and risk management.
Indicator
RSI MTF Dashboard + RSI/ATR-Based Volatility ZonesRSI MTF (multi-timeframe) Dashboard + RSI/ATR-Based Volatility Zones is a multi-timeframe RSI alignment dashboard built to connect RSI structure, timeframe agreement, and chart-side price context into one organized workflow. Instead of treating RSI as a single value on one timeframe, this script reads RSI across a full stack of timeframes and organizes that information into a compact table, a chart-side Stack Trend, an ATR-based envelope, a bottom-pinned bias strip, optional RSI-colored candles, and localized Bull/Bear pressure markers. The goal is to make it easier to see whether the broader RSI timeframe stack is supporting price, resisting price, mixed, or transitioning.
At the center of the script is the MTF RSI table. The table can display timeframe rows from 1 minute through monthly, with each row showing:
➡️ Current RSI
➡️ Current RSI vs Previous RSI
➡️ RSI SMA 20
➡️ RSI SMA 50
➡️ SMA slope arrows
➡️ Live bar timer information
➡️Lower-timeframe and higher-timeframe RSI averages
RSI is often more useful when read as a set of relationships instead of one isolated number. A single RSI value can show strength or weakness, but RSI in relation to its prior value, RSI SMA 20, RSI SMA 50, and higher timeframe context gives a cleaner view of whether momentum is building, fading, rotating, or staying aligned.
The chart-side MTF RSI Stack Trend is where the table becomes more than just a dashboard.
Each enabled timeframe row contributes to a full-stack RSI bias score using four relationships:
➡️ Current RSI regime
➡️ Current RSI vs Previous RSI
➡️ Current RSI vs RSI SMA 20
➡️ Current RSI vs RSI SMA 50
Those scores are combined into one MTF Stack Bias reading. When the stack leans bullish, the Stack Trend can project below price like a support-style trail. When the stack leans bearish, it can project above price like a resistance-style trail. When the stack is mixed or transitioning, the trail can fall back into a neutral state. That gives the chart one clean read of the broader RSI stack instead of forcing the user to mentally combine every row in the table.
The MTF Stack ATR Envelope expands that idea into a broader volatility zone. The envelope is built around the Stack Trend system and can reference the chart Stack Trend, a higher-timeframe Stack Trend, or the midpoint between both. This creates a volatility-adjusted zone around the broader RSI stack context.
The practical use is to help answer questions like:
➡️ Is price stretched away from the active RSI stack trail?
➡️ Is price trading inside the broader stack envelope?
➡️ Is the chart trail aligned with the higher-timeframe trail?
➡️ Is the stack acting more like support, resistance, or transition?
The MTF Stack Bias Trend Strip gives another view of the same engine. Instead of projecting the stack onto price, the strip shows the raw MTF Stack Bias as a compact gradient along the bottom of the chart.
This makes it easier to see when the broader stack is:
➡️ strengthening bullish
➡️ strengthening bearish
➡️ fading back toward neutral
➡️ chopping through mixed conditions
➡️ transitioning from one regime to another
The color behavior is intentionally visual. Stronger bullish readings can push toward yellow/orange, stronger bearish readings can push toward purple/extreme purple, and mixed readings stay closer to neutral.
The optional RSI Trend Candle Overlay brings the RSI color engine directly onto the main chart. Price candles still keep normal OHLC structure, but their body, wick, and border colors can reflect the current chart-timeframe RSI state. This makes it easier to see RSI strength, weakness, stretch, or neutrality without constantly checking a separate pane.
The Bull/Bear markers add a more localized pressure layer. These markers use a Price Action-style adaptive overbought/oversold engine built from a short Wilder-style high/low channel and adaptive trigger levels. They can be shown as raw pressure markers or filtered so bullish markers only appear during bullish stack regimes and bearish markers only appear during bearish stack regimes.
A practical way to read the script:
➡️ If the table rows are broadly bullish, RSI is above its moving-average references, and the Stack Trend is holding below price, the RSI timeframe stack is generally supporting the move.
➡️ If the table rows are broadly bearish, RSI is below its moving-average references, and the Stack Trend is pressing above price, the RSI timeframe stack is generally acting more like resistance.
➡️ If the table rows disagree, the trend strip fades toward neutral, or price is moving back through the envelope, the market may be transitioning or losing clean RSI alignment.
➡️ If the Bull/Bear markers agree with the active Stack Trend regime, they may help highlight localized pressure in the same direction as the broader RSI stack.
➡️ If the markers, candles, table, trail, and trend strip disagree, that disagreement can be useful information by itself because it often points to chop, cooling momentum, or a less directional environment.
The value of RSI MTF Table + ATR Envelope Trend is organization. It takes RSI behavior across multiple timeframes and turns it into a connected chart-side framework: table detail, stack bias, trail behavior, volatility zones, candle context, trend strip pressure, and localized markers. While this script is not meant to be a standalone buy/sell signal machine, it certainly has the necessary components and features to be just that once you learn its behavior over multiple timeframes. Used alongside oscillator, pressure, pivot-structure, and divergence tools, this script can also serve as a higher-level RSI alignment dashboard. The table and trend strip help answer whether the broader RSI stack is supporting, resisting, mixed, or transitioning, while companion tools can provide more detailed oscillator-side structure, pressure, pivots, and divergence context.
Attribution: this script uses SimpleCryptoLife library helpers for timeframe formatting and higher-timeframe stabilization. Some color-engine concepts, compact transparency-helper style, tiered RSI-style trend-color mapping, and PA-style overbought/oversold triangle concepts were inspired by ideas from SimpleCryptoLife’s open-source Price Action Trend work.
💥Chart examples💥
➖Bullish structure expectation➖
For this setup to continue developing, I want to see price reclaim the purple chart Stack Trend first, then begin working back toward the blue HTF Stack Trend.
The key idea is progression:
Price is still trading below both Stack Trend references, so the broader RSI stack is not fully supportive yet. A stronger bullish shift would start with price reclaiming the faster chart-side Stack Trend, then holding above it while the HTF Stack Trend begins to flatten or move underneath price.
What I’m watching:
• Price reclaiming the purple Stack Trend
• Purple Stack Trend turning back into support
• Yellow Stack Trend / envelope behavior improving underneath price
• Blue HTF Stack Trend flattening or moving below price
• Price holding above the prior local structure zone
Until that happens, rallies into the purple/blue Stack Trend area are still tests of resistance, not confirmed bullish structure.
➖Follow up to the above chart (Bullish structure follow-through)➖
This is the progression we wanted to see from the prior setup. Earlier, price was still below both the chart Stack Trend and the HTF Stack Trend, so the bullish structure was only an expectation — not confirmation yet. Now price has started to work back into the Stack Trend zone. The short-term RSI rows are strengthening, the bottom Stack Bias strip is shifting back into warmer pressure, and price is pushing into the same area that previously needed to be reclaimed.
The key improvement:
Price is no longer simply fading below the Stack Trend structure. It is actively testing the trail/envelope area from underneath and beginning to show the early signs of a bullish reclaim attempt.
What still matters next:
Price needs to hold above the faster chart-side Stack Trend and continue working toward the blue HTF Stack Trend. If that area flips from resistance into support, the bullish structure becomes much cleaner.
Until then, this is a bullish attempt in progress — stronger than the prior chart, but still needing confirmation above the broader HTF Stack Trend zone.
➖Repeated Stack Trend failure pattern➖
Price repeatedly loses the faster yellow/chart Stack Trend, then attempts to recover back into the purple/blue Stack Trend zone.
When price cannot reclaim that upper Stack Trend structure, the purple trail begins acting like resistance and price fades back underneath it.
The key read is progression: yellow weakness first, then failed reclaim into purple/blue resistance, followed by bearish continuation if price cannot push back above the broader Stack Trend stack.
➖Bullish Stack Trend support structure➖
This is the stronger version of the bullish reclaim pattern. Price first works above the faster chart Stack Trend, then the trail begins holding underneath price instead of acting as resistance. As the move expands, the broader blue HTF Stack Trend also lifts below price, giving the rally higher-timeframe support.
The key read:
Yellow/chart Stack Trend supports first, then the HTF Stack Trend confirms underneath. When price holds above both, the RSI stack structure shifts from recovery attempt into stronger bullish continuation.
➖Bearish Stack Trend rejection➖
Price attempted to recover back into the chart Stack Trend, but the broader blue HTF Stack Trend stayed overhead the entire time.
That kept the move capped. Once price failed to reclaim and hold above the purple trail, the Stack Trend structure shifted back into resistance and price faded lower.
The key read:
A bounce into the chart trail is not enough by itself. If the HTF Stack Trend remains above price, the broader RSI stack can still act like overhead resistance.
➖MTF Stack Bias Trend Strip➖
Yellow/orange shows stronger bullish stack pressure, purple shows stronger bearish stack pressure, and muted/gray transition areas show the stack moving through mixed conditions.
The key read:
The strip gives a quick visual summary of the broader RSI environment underneath price — making it easier to see when the market is trading with bullish pressure, bearish pressure, or shifting between regimes.
Indicator
RSI + Pressure Trend ProRSI + Pressure Trend Pro is an RSI-based momentum and pressure framework designed to make RSI easier to read as a complete system instead of a single oscillator line. At its core, the script combines classic RSI behavior, synthetic RSI candles, higher-timeframe context, volume-weighted RSI, pressure normalization, crossover layers, and a chart-side pressure trail into one connected workflow. My goal is to create a script that organizes RSI strength, weakness, compression, expansion, and price confirmation into a cleaner visual structure.
Most RSI tools focus on the 70 / 30 zones or simple moving-average crosses. Those are useful, but RSI often becomes more meaningful when it is read through several relationships at once:
➡️ Where is RSI 14 relative to its recent range?
➡️ Is fast RSI confirming or separating from the slower RSI structure?
➡️ Is RSI pressing into an upper or lower pressure zone?
➡️ Is volume-weighted RSI supporting the move?
➡️ Is the current RSI pressure regime being confirmed by price?
That price-confirmation piece is one of the main ideas behind this script.
The RSI Pressure Oscillator is built from several RSI-derived components that are normalized into a 0–100 pressure scale. The composite blends raw RSI level, recent RSI range position, RSI trend spread, short-term velocity, RSI band position, and volume-weighted RSI participation. The result is a pressure line that behaves like an RSI-style oscillator, but with more context than raw RSI alone.
The script then takes that pressure read and connects it back to the main chart through the RSI Pressure Trail. This trail is built from a volatility-adjusted price structure using ATR and a smoothed price basis. In other words, the oscillator pane is not isolated from price. The pressure regime must also be checked against where price is trading relative to the active trail.
That is why the pressure colors are price-confirmed. When RSI pressure is bullish and price is holding the bullish trail, the pressure color can stay active. When RSI pressure is bearish and price is respecting the bearish trail, the bearish pressure color can stay active. When pressure is mixed, neutral, or not being confirmed cleanly by price, the system can fall back into a more neutral read. That makes the script less about “RSI crossed a level” and more about asking: Is price confirming the current RSI pressure regime?
This script includes several visual layers built around that same idea:
🔹The synthetic RSI candles are included to make RSI movement easier to read bar by bar. Instead of viewing RSI only as a line, the script converts RSI 14 into candle-style movement inside the oscillator pane. The previous RSI value becomes the synthetic open, the current RSI value becomes the synthetic close, and the candle body shows the directional movement between those two points. This helps show when RSI is expanding, contracting, stalling, or changing direction more visually than a line alone.
🔹The RSI Candle Pressure Envelope adds another layer around those synthetic RSI candles. When RSI presses into the selected upper or lower trigger zones, the envelope fill turns on. This helps highlight moments where RSI is not just moving, but pressing into a stronger upper or lower momentum area.
🔹The lookback high/low boxes serve a different purpose. They highlight the recent RSI high zone and low zone inside the selected lookback window. This gives the oscillator pane a simple structure reference so traders can quickly see whether current RSI is pushing back into a recent high-pressure area, falling into a recent low-pressure area, or moving somewhere in between.
🔹The crossover layers are there to help separate short-term movement from broader RSI structure.
🔹The RSI Pressure Composite crossover layer is calculated from the pressure oscillator itself, not directly from raw RSI. This can help show when the pressure engine is beginning to rotate.
🔹The adaptive RSI moving-average layer is based on RSI 14 and can automatically adjust its fast/slow lengths depending on the chart timeframe. This gives the script a more flexible trend-context layer across different chart speeds.
🔹The standalone RSI 20/50 crossover layer gives a slower RSI trend reference. By default, it works like a broader momentum structure guide using RSI SMA 20 and RSI SMA 50.
A practical way to read the script:
➡️ When RSI 14, RSI 5, and the pressure oscillator are rising together, short-term and core RSI momentum are generally aligned.
➡️ When the pressure oscillator is above the bullish regime zone and price is holding the chart-side pressure trail, RSI pressure is being confirmed by price.
➡️ When the pressure oscillator is below the bearish regime zone and price is respecting the bearish trail, downside RSI pressure is being confirmed by price.
➡️ When the pressure oscillator is in the middle zone, or when price is not confirming the pressure trail cleanly, the market may be transitioning, cooling, or moving through a less directional phase.
➡️ When the RSI 20/50 layer agrees with the faster pressure behavior, the broader RSI structure may be supporting the active move.
➡️ When the faster layers disagree with the slower layers, that often points to a transition area rather than a clean trend read.
The chart-side tools are included so the oscillator pane and price pane stay visually connected. The optional RSI-colored candles keep normal OHLC price structure, but color the body, wick, and border using the RSI color engine. The RSI Pressure Trail projects the active RSI pressure regime back onto price as a support/resistance-style guide.
That combination gives the script two views of the same idea: the pane shows RSI structure and pressure behavior. The chart shows whether price is confirming that pressure behavior.
Bar Replay is especially useful with this script. Watching the system build one candle at a time makes it easier to see when RSI begins to expand, when synthetic RSI candles press into an envelope zone, when the pressure oscillator changes regime, when the crossover layers rotate, and how the chart-side pressure trail responds as price confirms or rejects the oscillator-side read.
This is not meant to be a standalone buy/sell signal machine. RSI works best when it is read with context. Structure, support and resistance, volume, trend, higher-timeframe levels, volatility, and broader market conditions still matter.
The value of RSI + Pressure Trend is that it gives RSI a more organized pressure framework. Instead of treating RSI as one line with two fixed levels, the script builds a connected view of RSI movement, RSI structure, pressure expansion, crossover behavior, volume participation, and price confirmation.
The goal is to help traders read when RSI pressure is building, when it is fading, when price is confirming it, and when the oscillator and chart may be starting to disagree.
The following charts show the different components of the script:
➖Optional Companion Workflow➖
RSI + Pressure Trend focuses on momentum pressure, regime shifts, and price-confirmed RSI behavior. When used with RSI Pivot Structure + Divergence Hunter Pro, traders can compare where RSI pressure is building against where RSI pivots, divergence, and structure are forming.
➖RSI Views Across Price + Oscillator Pane➖
This view shows how the script connects RSI behavior across the chart and oscillator pane.
Price candles keep real OHLC structure while using the RSI 14 color engine. Below, RSI 5 and RSI 14 show fast-vs-broader momentum alignment, while synthetic RSI 14 candles convert the RSI line into candle-style movement for a cleaner bar-by-bar read.
➖Adaptive RSI vs SMA 20/50 Structure➖
This view compares two RSI 14 structure layers. The adaptive EMA crossover responds faster to RSI momentum shifts, while the SMA 20/50 layer gives a slower baseline for broader RSI structure. Used together, they help separate short-term RSI improvement from larger momentum confirmation. When the faster adaptive layer turns before the SMA 20/50 structure, it can highlight early transition behavior before the broader RSI trend fully responds.
➖RSI 14 + HTF RSI + Volume-Weighted RSI➖
This view layers three RSI references for broader context. RSI 14 shows the active momentum path, HTF RSI shows the higher-timeframe backdrop, and Volume-Weighted RSI shows whether RSI movement is being supported by stronger volume participation.
➖RSI Pressure + Adaptive MAs➖
This view shows the RSI Pressure Oscillator with its adaptive pressure moving averages.
On the 15-minute timeframe, Auto mode uses the EMA 13 / EMA 34 pressure pair. The pressure line shows the active RSI pressure condition, while the MA fill smooths that movement into broader structure. When the faster pressure MA leads above the slower MA, pressure is improving. When it remains below, pressure is still leaning weaker.
➖RSI Lookback High/Low Zones➖
These boxes mark the recent RSI 14 high and low zones inside the selected lookback window.
The upper zone highlights where RSI recently reached stronger pressure. The lower zone highlights where RSI recently reached weaker pressure.
Together, they help frame RSI structure visually:
upper zone = recent RSI resistance / pressure high
lower zone = recent RSI support / pressure low
➖RSI Pressure Envelopes➖
The pressure envelopes highlight when RSI 14 presses into stronger upper or lower momentum zones. When RSI pushes into the upper trigger area, the upper envelope appears. When RSI falls into the lower trigger area, the lower envelope appears. This helps make RSI extremes easier to spot without relying only on the 70 / 30 guide levels.
Indicator
Minicharts Multi Market [Herman]Minicharts Multi Market
Minicharts Multi Market is a multi-asset visualization tool designed to display several different markets directly on a single chart using compact embedded mini charts.
Instead of switching between multiple tabs and layouts, this script allows traders to monitor intermarket behavior, relative strength, SMT relationships, and higher timeframe structure from one workspace.
The indicator is intended as a visual decision-support tool only and does not generate buy or sell signals.
Purpose
The main goal of this script is to improve chart workflow and market awareness by allowing users to:
• Monitor multiple correlated assets at the same time
• Compare futures markets such as NQ, ES, YM, RTY, CL, GC and others
• Observe relative strength and weakness across markets
• Identify potential SMT divergences between correlated instruments
• Keep higher timeframe structure visible while executing on lower timeframes
• Reduce the need to constantly switch charts during active trading sessions
This helps traders maintain better context and avoid missing important intermarket information.
How It Works
The script uses request.security() to retrieve OHLC data from multiple user-selected symbols and reconstructs them as compact mini charts displayed on the right side of the main chart.
Each mini chart functions independently and can display:
• Custom symbol
• Custom timeframe
• Optional EMA
• Optional VWAP
• Optional SMT detection
• Optional HTF Fair Value Gaps (FVG / iFVG)
The indicator does not use repainting logic for visualization purposes and is designed for structural reference and contextual analysis.
Main Features
1. Multi-Asset Minicharts
Display up to 6 different assets simultaneously.
Examples:
• NQ
• ES
• YM
• RTY
• CL
• GC
• SI
• Forex pairs
• Indices
• Any PulseWire-supported symbol
Each chart can use its own symbol and its own timeframe.
This makes the script useful for:
• Index traders
• Futures traders
• SMT traders
• Intermarket analysis
• Session-based traders
• Higher timeframe structure alignment
2. Automatic SMT Detection
The script includes optional SMT (Smart Money Technique) divergence visualization.
It automatically detects correlated comparison assets:
Examples:
• NQ ↔ ES
• ES ↔ NQ
• YM ↔ ES
• RTY ↔ ES
• GC ↔ SI
• CL ↔ RB
When pivot highs or lows diverge between assets, the script highlights these areas visually.
This feature is designed to assist traders who use SMT as confirmation, not as a standalone entry signal.
3. EMA Overlay
Each mini chart can optionally display EMA.
Settings include:
• Enable / disable EMA globally
• Enable / disable EMA per mini chart
• Custom EMA period
• Custom EMA color
This helps users quickly identify trend alignment across markets.
4. VWAP Overlay
Each mini chart can optionally display VWAP.
Settings include:
• Enable / disable VWAP globally
• Enable / disable VWAP per mini chart
• Custom VWAP color
This allows users to monitor mean reversion and institutional reference pricing across multiple instruments.
5. HTF Fair Value Gaps (FVG)
Optional HTF Fair Value Gap visualization is included.
The script detects:
• Bullish FVG
• Bearish FVG
• Inverted FVG (iFVG)
Users can choose:
• Extended mode
• Next Bar Only mode
This helps provide additional structural context on higher timeframe inefficiencies.
Settings Overview
Minicharts Assets Setup
For each mini chart:
• Enable / disable chart
• Select symbol
• Select timeframe
• Enable / disable SMT
• Enable / disable EMA
• Enable / disable VWAP
Each of the 6 mini charts can be customized independently.
EMA Configuration
• Show EMA
• EMA period
• EMA color
VWAP Configuration
• Show VWAP
• VWAP color
HTF FVG Configuration
• Show FVG
• Extension mode
• Bullish FVG color
• Bearish FVG color
• Inverted FVG color
Style & Layout
• Pivot lookback for SMT
• SMT colors
• Candle colors
• Number of bars shown
• Bar spacing
• Background frames
• Right offset
• Column spacing
• Chart height
• Row spacing
• Asset / timeframe labels
These controls allow users to fully adapt the layout to their chart style.
Important Notes
This script is designed for visualization purposes only
It does not generate trading signals, alerts, or recommendations
All calculations are based on historical price data
The tool is intended to support chart analysis, not replace independent decision-making Indicator
Temporal Candle Grid [JOAT]Temporal Candle Grid
Overview
Temporal Candle Grid is a multi-timeframe structural confluence indicator that automatically pairs the current chart timeframe with a logical higher timeframe (HTF), fetches the HTF's open, high, low, and close series using non-repainting request.security() calls, and renders the resulting HTF candle geometry as a precision box overlay on the lower timeframe chart. Confirmation counters, buy-side/sell-side liquidity labels, and Fair Value Gap detection operate on confirmed bars only, giving traders a clean, lag-aware view of where HTF price structure begins and ends.
Intelligent Auto-Pairing
The indicator contains a timeframe pairing table that maps the current chart to a contextually appropriate higher timeframe without any manual configuration:
- 1m chart → 15m HTF
- 5m chart → 1H HTF
- 15m chart → 4H HTF
- 1H chart → Daily HTF
- 4H chart → Weekly HTF
- Daily chart → Monthly HTF
This auto-pairing logic ensures the HTF candle shown is always meaningfully larger than the current view — avoiding the degenerate case of pairing a 5m chart with a 10m HTF, which provides almost no additional information.
Users may override the auto-pair by specifying a custom HTF via input.
Non-Repainting HTF Data
Four separate request.security() calls retrieve HTF open, high, low, and close using:
- close offset on the HTF series (current-bar data from the HTF is never used)
- barmerge.lookahead_off
This combination guarantees that the HTF values shown were already fixed before the current bar opened — making the indicator safe for signal generation and alert use without lookahead contamination.
HTF Candle Box Rendering
The HTF candle is rendered as a transparent box spanning the full high-to-low range, with an inner body box (open-to-close) rendered in the candle direction colour (teal for bullish, red for bearish). At each HTF boundary (detected via ta.change() on the HTF open), the previous candle's boxes are finalised and new boxes begin drawing. This creates a visual grid of HTF candles overlaid on the lower timeframe, making the internal structure of each HTF bar immediately visible.
Confirmation Counter for HTF Range Breaks
Rather than signalling the moment price crosses an HTF boundary, the engine counts consecutive closes above the HTF high (for bullish breaks) or below the HTF low (for bearish breaks). A break is only confirmed after the count reaches a configurable threshold (default 2 consecutive closes). This eliminates wick-driven false breaks that resolve within the same HTF session.
Buy-Side / Sell-Side Liquidity Labels (BSL / SSL)
When a confirmed HTF high break occurs, the BSL (buy-side liquidity) level is marked with an upward label at the HTF high. When a confirmed HTF low break occurs, an SSL (sell-side liquidity) label is stamped at the HTF low. These labels persist and serve as reference levels for future pullbacks — common targets in institutional liquidity analysis.
Fair Value Gap Detection
Running on the current timeframe, the FVG engine identifies three-bar price gaps:
- Bullish FVG: Current bar's low is above the high from two bars ago — a gap in downside coverage indicating aggressive buying
- Bearish FVG: Current bar's high is below the low from two bars ago — a gap in upside coverage indicating aggressive selling
FVG boxes are drawn spanning the gap range and extend forward for 30 bars, rendering as reference zones for expected price return.
HTF Candle Projection
On the last bar (barstate.islast), the current in-progress HTF candle is projected forward as a semi-transparent dashed box, giving traders a visual reference for the current HTF session's range as it develops in real time.
Dashboard
A compact table at the bottom right displays:
- Current chart TF and detected HTF
- HTF candle direction (BULL / BEAR)
- Current break confirmation count
- Number of active BSL / SSL levels
- FVG status (open / filled) for the most recent gap
Inputs Reference
- Custom HTF Override — leave blank for auto-pair, enter a TF string (e.g., "60") to override
- Confirmation Bars Required (2) — consecutive closes beyond HTF range before break is confirmed
- Show HTF Candle Boxes — toggles the HTF overlay
- Show BSL / SSL Labels — toggles liquidity sweep labels
- Show FVG Boxes — toggles fair value gap boxes
- FVG Lookback (50) — how many bars back to scan for active FVGs
- Max BSL / SSL Labels (10) — prevents label accumulation over long sessions
- Theme: Dark, Light, Auto
How to Use
1. Apply on a 5m, 15m, or 1H chart. The indicator auto-detects the appropriate HTF.
2. The HTF candle boxes show the full range of each higher-timeframe session. Price tends to respect the HTF open, high, and low as decision levels.
3. Wait for the confirmation counter to reach the threshold before treating a HTF range break as confirmed.
4. BSL labels above prior HTF highs and SSL labels below prior HTF lows indicate pools of resting orders — common institutional sweep targets.
5. FVG boxes within the current HTF candle body often act as intra-session return targets.
Non-Repainting Design
All HTF data uses close with lookahead_off. Break signals require barstate.isconfirmed. FVG detection is based entirely on confirmed historical bars. The projection box at barstate.islast is explicitly marked as in-progress and does not generate signals.
Limitations
- Auto-pairing is based on standard timeframe relationships. Non-standard chart intervals (e.g., 3m, 7m) default to the nearest logical pair.
- The confirmation counter approach adds 1–2 bars of lag to break signals. This is intentional and necessary for non-repainting accuracy.
- On very fast-moving instruments, HTF candle boxes may be violated frequently, limiting their utility as structural references.
- FVG relevance degrades significantly on very high timeframes (Daily+) where gaps are rare and may take weeks to fill.
Disclaimer
This indicator is for educational and informational purposes only. Multi-timeframe structure analysis describes historical price behaviour and does not guarantee any specific future market outcome. Conduct your own analysis and use proper risk management at all times.
Made with passion by officialjackofalltrades
Indicator
Minicharts Pro+ [Herman]Minicharts Pro+
Minicharts Pro+ is a multi-timeframe visualization tool designed to display higher timeframe price action directly on your current chart.
The script renders multiple compact “mini charts” representing selected timeframes, allowing users to observe structure, candle behavior, and relative positioning without switching between charts.
It is intended for traders who want to maintain awareness of higher timeframe context while working on a lower timeframe, without interrupting their workflow.
Purpose
The main purpose of this tool is to improve chart workflow and situational awareness by:
Providing a clear overview of multiple timeframes in one place
Reducing the need to switch between charts
Helping users visually align lower timeframe activity with higher timeframe structure
This script is designed as a visual analysis aid and can be used alongside any trading methodology.
How it works
The indicator uses request.security() to retrieve OHLC data from selected timeframes and reconstructs them as miniature charts displayed on the right side of the screen.
Each mini chart:
Displays historical candles from the selected timeframe
Is scaled dynamically based on recent price range and volatility
Is rendered independently to preserve clarity of structure
The layout is organized in a grid format, where each panel represents a different timeframe.
Users can adjust positioning, spacing, and sizing to fit their chart preferences.
Moving Averages & VWAP
Each mini chart includes optional overlays for additional visual context:
EMA (Exponential Moving Average)
VWAP (Volume Weighted Average Price)
These can be enabled or disabled individually for each mini chart, allowing flexible customization depending on user preference.
Both EMA and VWAP are calculated using standard methods based on the selected timeframe data and are displayed purely for reference.
SMT (Intermarket Comparison)
The script includes an optional SMT-style comparison feature between correlated instruments.
By default, the script automatically selects a related symbol (e.g., NQ ↔ ES, GC ↔ SI)
Users can manually override the symbol if needed
Pivot-based comparisons are used to highlight differences in swing highs and lows between instruments
This feature provides a visual way to compare price behavior between instruments and is based solely on historical price data.
HTF FVG Visualization
Optional higher timeframe imbalance (FVG) zones can be displayed within each mini chart.
Both standard and inverted FVG structures are supported
Users can choose between extended zones or next-bar-only display
Only the most recent inverted FVG is highlighted to reduce visual clutter
These zones are derived from candle relationships within the selected timeframe and are provided for visual reference only.
Inputs & Customization
The script provides multiple configuration options to adapt to different workflows:
Minicharts Setup
Up to 6 independent timeframes
Enable/disable each mini chart
Optional SMT overlay per timeframe
Individual EMA and VWAP toggles per mini chart
SMT Configuration
Automatic or manual symbol selection
Pivot lookback setting
Custom colors for high/low comparisons
HTF FVG Configuration
Enable/disable FVG display
Extension mode selection
Custom colors for bullish, bearish, and inverted zones
Style & Layout
Number of candles displayed per mini chart
Spacing and positioning
Chart size and grid layout
Candle colors and background frames
Timeframe label visibility
Notes
This script is designed for visualization purposes only
It does not generate trading signals, alerts, or recommendations
All calculations are based on historical price data
The tool is intended to support chart analysis, not replace independent decision-making Indicator
RSI Trend Dashboard + SMMA Channel OverlayAt its core, this script is an RSI trend framework designed to organize momentum into a compact dashboard that is easy to read at a glance, while also extending that same logic back onto the main chart through an optional SMMA-style channel overlay. Instead of treating RSI as just a single line crossing fixed levels, this script breaks it into a layered structure: current RSI state, higher-timeframe comparison, fast and slow RSI average relationships, and a summarized fast-vs-slow regime table view. The goal is not simply to show whether RSI is high or low but to create a cleaner way to read momentum alignment, trend agreement, and chart-side context from one unified engine.
The foundation of the script is the 5-row RSI trend strip. That strip is built to answer a practical set of questions quickly:
Is RSI in a bullish, bearish, or neutral zone?
Is chart RSI above or below its higher-timeframe RSI reference?
Is RSI above or below its fast average?
Is RSI above or below its slow average?
And is the fast average currently above or below the slow average?
That matters because momentum is often easier to interpret as a stack of relationships instead of as one isolated value. A single RSI print can be helpful, but RSI in relation to HTF RSI, fast structure, and slow structure often gives a better read on whether momentum is strengthening, weakening, or starting to rotate.
The added features here are not meant to feel bolted on. They are different ways of reading the same momentum structure. In this script, that includes:
➖ a 5-row trend strip
➖ a stabilized higher-timeframe RSI comparison
➖ fast and slow RSI average relation rows
➖ a fast-vs-slow summary row
➖ a compact dashboard table with current values, bar-to-bar deltas, and slope arrows
➖ an optional RSI-colored price candle overlay
➖ an optional Trend SMMA Channel Overlay on the main chart
➖ an optional smoothed OHLC4 price-average line used to color the channel
➖ optional bullish and bearish triangle markers derived from the overlay engine
The dashboard table is there to keep the same engine readable in a more precise format. The pane gives the fast visual impression. The table gives the actual current readings: rounded values, simple deltas, and short slope arrows so the trader can see not only where RSI and its companion series are, but whether they are currently improving, fading, or flattening. I like that combination because it keeps the script visual first, but still lets you confirm the details without needing to inspect each series manually.
The higher-timeframe layer is an important part of the script. Rather than leaving RSI fully isolated to the local chart, this indicator compares the chart RSI against the next logical higher timeframe so traders can quickly judge whether local momentum is aligned with broader context or starting to separate from it. The script uses SimpleCryptoLife’s HighTimeframeSampling library to stabilize that HTF reference series, which helps keep the higher-timeframe comparison cleaner and more reliable in live use.
The chart-side Trend SMMA Channel Overlay serves a different purpose. While the pane organizes RSI structure, the overlay projects a smoother trend context directly onto price using Wilder-style smoothed high and low boundaries, along with an optional smoothed OHLC4 price-average line. That creates a second way to read the same market: the pane shows internal momentum relationships, while the chart overlay helps show whether smoothed price-average behavior is pressing above the channel, below it, or back inside it. In other words, the pane gives the momentum-state view and the chart gives the price-structure view.
This script also uses auto timeframe length resolvers for the main chart-side overlay tools, which I think makes it more practical across different chart speeds. Instead of forcing users to constantly retune multiple lengths when moving from lower timeframes to higher ones, the script can automatically resolve separate preset lengths for the Trend SMMA channel, the OHLC4 price-average line, and the bullish/bearish triangle engine. Manual controls are still available, but the default design is meant to stay more adaptive and chart-friendly out of the box.
A practical way to think about it:
➡️ If RSI is strong, above HTF RSI, and above both fast and slow averages, momentum is generally aligned in the bullish direction.
➡️ If RSI is weak, below HTF RSI, and below both fast and slow averages, momentum is generally aligned in the bearish direction.
➡️ If the rows begin to disagree with each other, that often signals transition, cooling, or a market that is no longer moving with the same clean momentum structure.
➡️ If the Trend SMMA overlay is also pushing outside its channel in the same direction, that can help reinforce what the pane is already suggesting.
➡️ If the pane and chart overlay begin to disagree, that can be a useful sign that trend strength may be losing alignment.
This is not meant to predict reversals by itself, and I would not treat it as a stand-alone signal machine. The way I use it is more practical:
➖ to judge whether RSI momentum is aligned or mixed
➖ to compare local RSI behavior against higher-timeframe context
➖ to see whether fast and slow momentum structure are still confirming each other
➖ to keep pane-space momentum and chart-space trend context visually connected
That overall framing is very similar to the way my previous Chandelier and Heikin Ashi publishings were written: one central engine, then multiple companion layers that help interpret the same underlying structure rather than replacing it with unrelated tools.
Bar Replay is especially useful here. Watching the strip build one bar at a time makes it much easier to see when RSI shifts from neutral into directional territory, when chart RSI moves above or below its HTF reference, when the fast/slow relationship changes, and how the chart-side SMMA overlay responds as price-average behavior moves through the channel. Scripts like this are often easier to understand dynamically than from a single static screenshot.
Like most momentum tools, this works best with confluence. I would not use it in isolation. Structure, volume, support and resistance, price action, market regime, and higher-timeframe context all still matter. The value of this script is not that it replaces those tools. The value is that it gives RSI a more organized dashboard-style expression while also extending that same read onto the main chart through a cleaner trend overlay.
Credit where it’s due: this script uses SimpleCryptoLife’s HighTimeframeSampling library for the stabilized HTF reference, and portions of the Trend SMMA channel, OHLC4 price-average interaction, and bullish/bearish triangle logic were adapted from concepts used in SimpleCryptoLife’s open-source Price Action Trend work. I always want that lineage to be clear, especially when chart-side concepts have been reworked into a different script and broader dashboard framework.
Indicator
Setup Quality Scorecard [AGPro Series]Setup Quality Scorecard
Setup Quality Scorecard grades every bar on a transparent 0-100 scale across ten independent confluence dimensions. Instead of another signal generator, it is a quality filter: it tells you how strong the current setup is, which factors are firing, and how often similar past setups have followed through. Works on any symbol, any timeframe.
🔹 OVERVIEW
Every trader has the same question before pulling the trigger: "Is this setup actually good, or am I forcing it?" Setup Quality Scorecard answers that question with a single auditable number. The composite score blends ten orthogonal factors — trend, momentum, volume, volatility, structure, S/R proximity, divergence, candle quality, session context, and higher-timeframe alignment — into a weighted 0-100 quality rating. Bars scoring above the A-Tier threshold are marked with support/resistance-style zones on the chart, so high-quality setup regions stay visible even as the market moves on.
🔹 UNIQUE EDGE
Most quality indicators hide their internals behind a black-box algorithm. This one is fully transparent. Every factor exposes its own 0-10 score in the panel, every factor weight is user-adjustable, and every historical signal is evaluated against a forward-looking hit-rate test. There are no secret filters, no proprietary confidence bands, and no cherry-picked backtest. If a setup scores 87, you can see exactly which factors contributed and which did not.
🔹 METHODOLOGY
Each of the ten factors is computed independently on the current bar and normalized to a 0-10 scale:
1. Trend Alignment — EMA 20/50/200 stack plus slope confirmation
2. Momentum — RSI zone position combined with 3-bar RSI delta
3. Volume Context — relative volume versus 20-period SMA, calibrated for real-world distribution
4. Volatility Regime — ATR percentile over the last 100 bars, favoring mid-range regimes
5. Structure — HH/HL or LH/LL confirmation via recent pivots
6. S/R Proximity — ATR-normalized distance to the nearest pivot level
7. Divergence — price-versus-RSI regular divergence captured at pivot time
8. Candle Quality — body-to-range ratio and wick balance
9. Session Context — active trading session weighting (London/NY overlap prioritized)
10. HTF Agreement — graduated higher-timeframe alignment scoring (full stack, partial stack, opposed regimes)
The ten factor scores are weighted by user-adjustable coefficients, summed, and normalized to produce the final 0-100 composite. Tier labels (S / A / B / C / D) are assigned against user-configurable thresholds.
🔹 SIGNALS AND ALERTS
When a bar crosses into A-Tier or higher, a zone is drawn using support/resistance-style geometry (body plus a small ATR cushion). Zones merge automatically when adjacent qualifying setups share the same directional bias, preventing chart clutter. Each zone is labeled with its tier and score in compact A·83 format, with a dotted leader line connecting the label to the zone edge.
Four built-in alert conditions are exposed:
- S-Tier Setup Detected (score crosses the S-Tier threshold)
- A-Tier Setup Detected (score crosses the A-Tier threshold)
- New Bullish Quality Setup (first A-tier bullish bar in a run)
- New Bearish Quality Setup (first A-tier bearish bar in a run)
🔹 KEY INPUTS
- General: Higher timeframe reference, rolling history window, forward evaluation bars
- Thresholds: S / A / B / C tier cutoffs, fully adjustable
- Factor Weights: ten independent sliders, 0.0 to 2.0, tune the scorer to your style
- Zones: adaptive extend (auto or manual), merge window, max height cap in ATR units, maximum age
- Labels: on-chart label mode (A-Tier only, S-Tier only, off), size presets
- Panel: position, size, factor breakdown toggle
🔹 HOW TO USE
Start with defaults and observe for a full session on your chart. Trend traders should raise the Trend and HTF Align weights. Reversal traders should raise Divergence, Structure, and S/R Proximity. Use the Active count in the panel as a quick filter: fewer than three factors above seven generally means a weak setup regardless of composite score. Use the hit-rate number to sanity-check whether your current configuration is performing on this asset and timeframe — if it is below 50 percent on a large sample, revisit your weight assignments.
🔹 LIMITATIONS AND TRANSPARENCY
The hit-rate metric is backward-looking. It measures how often past A-tier signals produced a one-ATR directional move within the next N bars. It is not a forecast of future performance. A hit rate with fewer than twenty signals is flagged with an info marker because the sample size is not yet statistically meaningful. Factor definitions are static — they do not adapt to regime changes automatically. Session weighting assumes standard crypto and equity session times in UTC; adjust if you are trading exotic hours. The script uses pivot-based structure, which lags by the pivot length on the right edge of the chart (a standard trade-off for noise suppression).
🔹 RISK DISCLOSURE
This indicator is an analytical tool, not financial advice. It does not predict future price movements. A high quality score does not guarantee a winning trade. Past performance of any displayed signal does not indicate future results. Always use proper risk management and position sizing. Never trade with capital you cannot afford to lose. Indicator
Indicator
HTF FVG BISI & SIBIBuilt this because most FVG indicators either drown your chart in boxes or don't handle higher timeframe gaps properly on lower timeframe charts. This one does both — cleanly.
It pulls Fair Value Gaps from the 15-minute, 1-hour, and 4-hour timeframes and plots them directly onto whatever chart timeframe you're working on. Each FVG is drawn as a shaded zone with optional internal levels — the 50% consequent encroachment line, and the 25%/75% quadrant lines — so you can see your premium and discount zones inside the gap at a glance.
How it detects FVGs:
The indicator uses request.security() to read closed candle data from each higher timeframe. When candle 1's low is above candle 3's high, that's a BISI (Buyside Imbalance, Sellside Inefficiency — bullish). When candle 1's high is below candle 3's low, that's a SIBI (Sellside Imbalance, Buyside Inefficiency — bearish). Simple three-candle logic, nothing exotic. A minimum gap size filter (in ticks) is included so you're not cluttering the chart with insignificant gaps that price will blow through without reacting.
Overlap prevention:
One of the main issues with most FVG tools is they'll stack three or four boxes on top of each other in the same price zone when the market creates consecutive gaps. This indicator checks whether a new FVG shares price space with one already active in the same timeframe — if it does, the new one gets rejected. Once the original mitigates and clears, a fresh gap in the same area will plot normally. This keeps the chart readable without hiding real setups.
Mitigation logic:
FVGs don't stay on the chart forever. When price retraces into a gap beyond a configurable threshold (default 65%), the indicator considers it mitigated and removes the box, lines, and label entirely. For a BISI, it checks if price has pushed down through 65% of the gap from the top. For a SIBI, it checks if price has pushed up through 65% from the bottom. You can adjust this percentage to suit how aggressively you want gaps cleared — some traders prefer 50% (consequent encroachment), others want to see a deeper rebalancing before removal.
Display limit per timeframe:
You can set how many active FVGs are shown per timeframe (default 2, max 4). The indicator always prioritises the most recent gaps. Older unmitigated FVGs aren't deleted — they're just hidden. If a newer one gets mitigated and removed, the older one swaps back in automatically. This keeps the chart focused on what's immediately relevant while preserving the history behind the scenes.
Extension modes:
Three options depending on how you like your charts. "Extend to Current Bar" stretches each box forward to the live bar so the zone is always visible. "Extend Right" projects the box infinitely to the right. "No Extension" locks the box to the candles that formed it — useful if you prefer a static historical view.
Labels:
Each FVG gets a small label on the left edge showing its timeframe and type (e.g., "1H BISI" or "4H SIBI"). They sit at the 50% level of the gap so they're easy to spot without adding noise.
Settings at a glance:
Toggle each timeframe on/off independently
Customisable BISI and SIBI colours
CE line, 25%/75% lines — all optional
Minimum gap size filter (ticks)
Mitigation threshold (%)
Max active FVGs per timeframe
Three extension modes
What this doesn't do:
No alerts, no entry signals, no strategy automation. It's a pure visual mapping tool — it shows you where the inefficiencies are so you can make your own decisions about how to trade around them. Designed for discretionary traders who use FVGs as part of their top-down analysis, not as standalone triggers.
Works on any instrument and any chart timeframe. If you're viewing a 1-minute chart, you'll see the 15m, 1H, and 4H gaps mapped onto it. If you're on a 15-minute chart, only the 1H and 4H gaps will appear (since the 15m data matches the chart timeframe, those gaps show natively in price action anyway).
Enjoy. :) Indicator
Live HTF Volume POC - ChartDNAThis indicator displays a real-time volume profile with a dynamic Point of Control (PoC) line on any higher timeframe, from 15-minute sessions up to 3-month periods.
HOW IT WORKS
The script divides the selected timeframe's price range into configurable bins and accumulates normalized volume at each level. The bin with the highest volume is highlighted as the PoC. A stepping PoC line tracks how the highest-volume level shifts as the session develops in real time.
When a new HTF session begins, the previous session's profile is frozen on the chart, building a visual history of volume distribution across sessions.
FEATURES
- Flexible timeframe selector supporting intraday (15m, 30m, 1h, 2h, 4h, 8h, 12h) through higher timeframes (Daily, Weekly, Monthly)
- Dynamic PoC plotted as a stepline showing real-time PoC migration
- 8 profile color styles: Default, Monochrome, Blue, Cyan, Green, Red, Orange, Purple (all gradient-based)
- Adjustable bin count and PoC line width
- Clean overlay with minimal chart clutter
HOW TO USE
- Use on lower timeframes (e.g., 5m or 15m chart) with a higher session timeframe (e.g., 1D or 1W) to see where volume is concentrating
- The PoC level often acts as a magnet for price, useful for identifying support/resistance and mean-reversion zones
- Combine with your existing price action or order flow analysis
LIMITATIONS
- Volume data quality depends on your broker/exchange feed
- On very low-liquidity instruments, the profile may appear sparse
- The indicator uses request.security() with a offset and lookahead to detect HTF boundaries; this does not introduce future data
CREDITS
Based on "Real-Time HTF Volume Footprint" by BigBeluga (open-source, CC BY-NC-SA 4.0). Modified with added timeframe flexibility, multiple gradient color styles, PoC line customization, and UI cleanup.
Indicator
High Timeframe Candles - HTFHigh Timeframe Candles - HTF
High Timeframe Candles - HTF indicator is a professional analysis dashboard developed for traders who want to maintain a clear view of Higher Timeframe (HTF) market structure and liquidity gaps while operating on Lower Timeframes (LTF). Based on ICT (Inner Circle Trader) concepts, this tool dynamically draws up to six selected higher timeframes and their respective imbalances on the right side of the chart (offset). The indicator is specifically designed for "upward" timeframe analysis, meaning it displays only periods higher than your current chart (e.g., viewing 15m, 1H, and 4H candles while on a 5m chart) and does not show lower timeframe data on the dashboard.
One of the indicator's strongest features is its real-time data synchronization. HTF candles are updated instantaneously with every price movement on the lower timeframe. This allows you to monitor the formation, wick length, and expansion of a 15-minute or hourly candle while actively trading on a 1-minute chart. Additionally, it maximizes time management by providing dynamic countdown timers for each HTF candle closing and Day of Week (DOW) labels for daily candles.
In terms of imbalance detection, this tool offers advanced features by automatically identifying Fair Value Gap (FVG) and Volume Imbalance (VI) zones directly on the HTF candles. This functionality enables you to see which high-timeframe gap the price is gravitating toward or which levels it might react to without ever switching charts. Specifically, it includes options to align daily candle calculations with critical ICT "True Day Open" benchmarks, such as Midnight, 08:30, or 09:30 New York time.
Designed with a user-friendly interface, this indicator is fully customizable and optimized to reduce workspace clutter while protecting trader psychology. By eliminating the need to constantly flip through different timeframes, it helps you maintain focus during execution. Coded with the latest Pine Script v6 performance standards, this tool provides a comprehensive roadmap for both scalping and intraday trading strategies. Indicator
Heikin Ashi Oscillator Trend Engine At its core, this script is a Heikin Ashi-based oscillator designed to translate HA candle behavior into a normalized momentum framework that is easier to read in a separate pane. Instead of only viewing Heikin Ashi candles on price, this script converts HA-derived range behavior into an oscillator that can help show direction, expansion, contraction, and structural shifts in a more organized way. The goal is not just to turn HA into another oscillator. The goal is to build a unified HA engine that can be read through multiple layers while still staying tied to the same foundation.
The script includes two core engine modes:
HA Range Base
This is the more direct and responsive version. It builds the oscillator from signed Heikin Ashi range behavior, then smooths that result into a cleaner momentum read.
HA Blend
This mode keeps the same HA foundation, but blends multiple smoothed HA range relationships together into one output. The result is often smoother and more refined while still staying rooted in Heiken Ashi structure.
That distinction matters because this is not a random stack of unrelated features. Everything in the script is built around the same central idea: use Heikin Ashi-derived behavior as the base signal, then offer different ways to normalize it, smooth it, visualize it, and compare it across timeframes.
The script also includes a normalization layer. A dynamic/manual lookback framework controls the reference window used for normalization and adaptive guide logic, so the oscillator can stay more balanced across different chart speeds. The output is then organized into a broader interpretation framework that includes:
➖ adaptive fast/slow crossover lines
➖ a separate SMA 20 / 50 crossover engine
➖ a rolling oscillator VWA for participation-aware context
➖ a stabilized higher-timeframe oscillator reference line
➖ a pivot-based trend overlay built from confirmed oscillator pivots
➖ adaptive zero / ±50 guide lines
➖ synthetic oscillator candles
➖ a histogram pressure envelope state engine and fill that highlights when the oscillator pushes into user-defined extreme zones inside the pane
➖ optional price-overlay candles that reuse the same oscillator color logic
➖ a compact engine table for quick reference
These are not separate systems bolted on for the sake of adding more features. They are different ways of reading the same Heiken Ashi oscillator engine.
A practical way to think about it:
➡️ When the oscillator is above zero and strengthening, HA-based momentum is expanding in the bullish direction.
➡️ When it is above zero but weakening, the move may still be positive, but the internal pace is cooling.
➡️ When it is below zero and weakening further, bearish pressure is expanding.
➡️ When it is below zero but improving, downside pressure may be easing even if the broader condition is still negative.
The higher-timeframe oscillator line adds another layer of context. It gives you a way to compare the local pane oscillator against the next broader HA context. That can help answer whether the current move is flowing with the higher-timeframe structure or starting to diverge from it.
The pivot overlay serves a different purpose. Rather than acting like another moving average, it behaves more like a structural reference derived from confirmed oscillator pivots. That can make it useful for traders who want a more regime-style guide instead of relying only on crossover behavior.
The synthetic oscillator candles are there to make bar-to-bar behavior easier to read. They can help show when the oscillator is expanding, slowing, or shifting direction more clearly than a line alone. The optional price-overlay candle mode extends that same color logic back onto the main chart so pane-space and chart-space stay visually connected.
This script is not meant to predict reversals by itself, and it should not be treated as a stand-alone signal machine. The way I use it is more practical:
➖ to judge whether HA-based momentum is expanding or contracting
➖ to compare local oscillator behavior against higher-timeframe context
➖ to see whether momentum is strengthening, stalling, or rotating
➖ to keep price-space and pane-space context visually aligned
Bar Replay
Bar Replay is especially useful here. Watching the oscillator build one bar at a time makes it much easier to understand how the HA engine responds to expansion and contraction, how the crossover layers behave during transitions, and how the pivot overlay changes only after structure is confirmed.
Confluence
Like most momentum tools, this works best with confluence. I would not use it in isolation. It becomes more useful when paired with structure, support/resistance, volume, trend context, RSI, or other confirmation tools. The value of this script is not that it replaces those tools. The value is that it gives Heiken Ashi behavior a more organized oscillator-based expression that can be easier to compare, normalize, and monitor over time.
A few example charts:
Indicator
DKS 30 Minute ORB with Multi-Timeframe Bias and HTF ZonesThis script combines a 30-minute Opening Range Breakout (ORB) model with higher-timeframe supply and demand zones and a multi-timeframe directional bias dashboard to create a structured intraday trading framework.
🔹 Core Components
Opening Range Breakout (ORB):
The script defines the first 30-minute range of the selected session and highlights the high and low. These levels act as key breakout points, where price is monitored for continuation or rejection.
Higher Timeframe Supply & Demand Zones:
Only higher timeframe zones (1H, 2H, and 4H) are plotted on lower timeframes to reduce noise and focus on stronger areas of interest. These zones help identify potential reversal or continuation areas in confluence with the ORB levels.
Multi-Timeframe Bias Dashboard:
A built-in bias table displays directional sentiment across multiple timeframes (5m, 15m, 30m, 1H, 2H, 4H, Daily).
Bullish conditions are highlighted in green
Bearish conditions are highlighted in red
This allows traders to align intraday entries with higher timeframe direction.
🔹 How It Works Together
The script is designed to:
Identify breakout opportunities from the ORB range
Confirm direction using higher timeframe bias
Use supply/demand zones as targets or invalidation areas
This combination helps filter low-probability trades and improves overall trade structure.
🔹 How To Use
Mark the ORB range during your session (e.g., market open)
Wait for price to break and retest the range
Confirm direction using the bias dashboard
Use HTF zones for entries, targets, or stop placement
🔹 Notes
This script is intended as a decision-support tool and should be used alongside proper risk management. Indicator
HTF Volume Spike & Imbalance Projection [LuxAlgo]The HTF Volume Spike & Imbalance Projection indicator provides a comprehensive multi-timeframe analysis tool that projects higher timeframe (HTF) candle structures, volume spikes, and volume profiles directly onto the current chart. This script aims to bridge the gap between different time horizons, allowing traders to identify institutional interest, supply/demand zones, and significant order flow imbalances within an HTF context without ever switching timeframes.
🔶 USAGE
🔹 The Core Concept
While standard charts only show the OHLC of a candle, this indicator deconstructs a single large candle (e.g., a 1-hour candle) into its individual internal components. It looks for Volume Spikes (moments of high activity) and Stacked Imbalances (where aggressive participants stepped in repeatedly) to reveal the "story" inside the bar.
🔹 Reading the Projection
The indicator projects two visual blocks to the right of your current price action:
Ghost Bar (Left Block): This represents the previous completed HTF candle. It is faded out to provide historical context and show where the previous "value" was established. Current Bar (Right Block): This represents the HTF candle currently forming and updates in real-time as new data arrives.
Each block is divided into three distinct visual sections:
HTF Candle: A standard candle representation of the higher timeframe (Open, High, Low, Close). Scatter Plot (The Bubbles): Every bubble represents a volume spike that occurred on the lower timeframe (LTF) granularity. The size of the bubble indicates higher volume, while the color indicates buying (Green) or selling (Red) pressure. Dotted lines connect the High and Low of the candle to this zone for reference. Volume Profile (The Histogram): Displays the total distribution of volume across the entire HTF candle, highlighting high-volume nodes.
🔹 Key Feature: Stacked Imbalances
Look for the solid colored boxes behind the scatter plot bubbles. These "Stacked Imbalances" appear when 3 or more volume spikes of the same direction occur at the same price level within one HTF candle.
Bullish Imbalance (Green Box): Indicates a strong area of buying interest. These often act as support levels. Bearish Imbalance (Red Box): Indicates a strong area of selling interest. These often act as resistance levels.
🔹 On-Chart Bubbles
The bubbles visible on the actual candles of your chart are the same spikes shown in the projection.
A cluster of large bubbles at the top of a candle indicates exhaustion or heavy selling at the highs. Large bubbles at the bottom indicate a strong floor being built by buyers.
🔶 DETAILS
The indicator uses
request.security_lower_tf()
to pull granular data. By analyzing volume at this "Spike Granularity," the script can pinpoint specific price levels where volume exceeded a moving average by a user-defined multiplier.
🔹 Trading Tips
Identify Point of Control: Use the Volume Profile in the projection to see where the "Value" is. Trading usually gravitates back to high-volume areas. Trade the Imbalances: When price returns to a previously formed "Stacked Imbalance" box from the Ghost Bar, look for a reversal. These are high-probability areas where institutional activity was detected. Volatility Detection: If the scatter plot is empty, the current move is "low conviction" (low volume). If it's filled with large bubbles, big players are active.
🔶 SETTINGS
🔹 Higher Timeframe (Anchor)
HTF Anchor Timeframe: Defines the timeframe of the main projection. The "Auto" setting selects a logical HTF based on your current chart.
🔹 Volume Spike Detection
Spike Granularity: The lower timeframe used to find individual spikes. Volume Spike Multiplier: The threshold used to define a "spike" relative to the volume average. Volume MA Length: The lookback period for the volume average.
🔹 Advanced Features
Show Ghost (Previous) Bar: Toggles the visualization of the previous HTF period. Highlight Stacked Imbalances: Enables detection of price zones with high-frequency aggressive volume. Show Anchor Connection Lines: Toggles lines connecting chart levels to the projection block. Show Bubbles on Chart Candles: Toggles the LTF volume spikes directly on the main chart bars. Indicator
