Indicator
Asian Range Liquidity Map [AGPro Series]Asian Range Liquidity Map
🔹 OVERVIEW
Asian Range Liquidity Map is a precision tool for ICT and smart-money traders who focus on the London Open liquidity sweep. The indicator maps the Asian session high/low liquidity pool, tracks which side gets taken on the London kill-zone, and keeps a rolling 60-session record of post-sweep reactions. The engine calculates live Reversal / Continuation / Mixed probabilities for both bull and bear sweeps and displays everything in a compact info panel without cluttering the chart.
Whether you trade Turtle Soup setups, session-based liquidity grabs, or simply want clean Asian range context, this indicator gives you the structural read most traders spend months building manually.
🔹 UNIQUE EDGE
This is not another session-box plotter. Three design choices separate it from generic Asian range indicators:
1. ATR-Normalized Quality Filter — the range width is measured against the Daily ATR, not the chart timeframe. Sessions that are abnormally narrow (illiquid) or abnormally wide (news-driven noise) are filtered out of the statistics engine automatically. Only clean, tradable ranges count.
2. Live Historical Statistics Engine — every past sweep in the 60-session rolling window is classified as Reversal, Continuation, or Mixed using close-based validation. When a new sweep fires, a state label immediately shows the historical bias: "Bull Sweep -> Historical Reversal 73% (n=26)". You see the context the moment price reacts.
3. Three-Tier Classification — most tools treat sweep reactions as a binary outcome. This engine separates clean reversals, clean continuations, and indecisive mixed responses, giving a more honest statistical picture. The Mixed bucket is visible in the panel so the trader always knows how confident the signal actually is.
🔹 METHODOLOGY
1. Session Tracking — the Asian window is tracked using pure UTC hour/minute math (default 00:00-08:00 UTC), fully independent of chart timezone. Start and end hours are configurable.
2. Range Validity — on session close, the range width is compared to the Daily ATR. If the ratio falls outside the user-defined band (default 0.3-2.0 x dATR), the session is marked Filtered Out and excluded from statistics.
3. Sweep Detection — after the session closes, the engine watches a configurable post-open window (default 6 hours) for the first break of the Asian High or Low. Only the first sweep per session is recorded, which keeps the sample clean.
4. Reaction Classification — after the reaction window (default 10 bars), the engine evaluates post-sweep closes:
- Reversal: price closed through the opposite side by at least Reversal Threshold x Range
- Continuation: price sustained past the sweep level with pullback under Continuation Threshold x Range
- Mixed: neither condition was met
5. Rolling Sample — the most recent 60 classified sweeps feed the Bull and Bear statistics independently. Default is 60, configurable from 20 to 100.
🔹 SIGNALS AND ON-CHART ELEMENTS
- Asian Range Box: dotted amber rectangle during the session, solidifies on close if the range passes the ATR filter. Filtered sessions fade to near-invisible.
- High and Low Dotted Extensions: projected right from each validated session, showing the liquidity levels the market will target.
- Sweep State Label: appears on the bar that first breaks the range. Color-coded green for bull sweeps, pink for bear sweeps, with the historical bias and sample size baked in.
- Sweep Line: thick horizontal line at the taken level, drawn forward across the projection zone.
- Projection Zone: rectangular post-sweep forecast box where follow-through (or rejection) typically plays out.
- Multi-Day Overlay: up to the last 5 validated Asian ranges rendered with fade hierarchy (oldest most faded, newest most visible).
- Three alerts are included: Bull Sweep Detected, Bear Sweep Detected, and London Open with Valid Asian Range.
🔹 KEY INPUTS
Session Settings:
- Asian Session Start/End Hour (UTC)
- Sweep Detection Window (hours after London Open)
Quality Filter:
- Use ATR filter (on/off)
- Min and Max Range Width (x Daily ATR)
- ATR Length
Historical Stats Engine:
- Sample Size (20-100 sessions)
- Reaction Window (bars after sweep)
- Reversal Threshold (x Range)
- Continuation Threshold (x Range)
Multi-Day Overlay:
- Show historical sessions (on/off)
- Days to show and fade intensity
Post-Sweep Projection:
- Show projection zone (on/off)
- Projection length in bars
Visual Style:
- Label Font Size (independent from panel)
- Show sweep state label (on/off)
Info Panel:
- Show panel, location, theme (Dark/Light)
- Panel Font Size (independent from labels)
🔹 HOW TO USE
Best fit: intraday timeframes from 1m to 60m. The 15m chart is the intended sweet spot and what the defaults are tuned around. The script auto-disables on 4H and higher with a clear on-chart notice.
Typical workflow:
1. Confirm Range Status shows Valid after the Asian session closes. If Filtered Out, stand aside that day.
2. Wait for the London Sweep Window state and watch the Asian High/Low levels.
3. When a sweep fires, read the state label. A high Reversal probability near a major higher-timeframe level often flags a Turtle Soup opportunity. A high Continuation probability suggests fading is risky and trend-aligned entries are preferred.
4. Use the projection zone as a post-sweep attention area, not a target in itself.
5. Cross-check with your own higher-timeframe bias, volume, and structure before committing.
🔹 LIMITATIONS AND TRANSPARENCY
- This is a context tool, not a strategy. No buy/sell signals are generated and no backtest or performance claim is made.
- The historical percentages shown are descriptive statistics of recent price behavior in the sample window. They describe what has happened, not what will happen. A reading like 80% Reversal means four out of five prior sweeps in the sample reversed; the fifth did not.
- On strongly trending or low-volatility instruments, distributions can skew heavily to one category. For example, on a tight range-bound market a liquidity sweep almost always reverts, producing very high Reversal readings. This is a feature of the data, not a bug. If a distribution looks extreme, tighten the Reversal Threshold and shorten the Reaction Window for a stricter definition, or widen them for a looser one.
- Request.security is used to pull Daily ATR and is evaluated without lookahead; no future data is used.
- First-run sample size will be small until the chart has enough history to fill 60 sessions. Expect the panel to show progress like 18 / 60 until the buffer fills.
🔹 RISK DISCLOSURE
This indicator is a research and analysis tool for educational purposes. It does not constitute financial advice, a recommendation, or a solicitation to buy or sell any asset. Past behavior of liquidity sweeps does not guarantee future outcomes. Trading carries substantial risk of loss. Always perform your own analysis, apply risk management that suits your account, and consult a qualified professional before making financial decisions. Indicator
Break-Retest Quality [AGPro Series]Break-Retest Quality
🎯 OVERVIEW
Break-Retest Quality is a precision-focused structure toolkit that detects pivot-based breaks of structure (BOS) and grades the first retest of the broken level using a transparent, multi-factor quality score. Instead of only drawing a break line and leaving you to guess whether the retest "looked clean", the script quantifies the retest with a 0-100 score and an A / B / C / F letter grade so you can quickly separate high-conviction pullbacks from low-quality ones. It is a discretionary context tool built for price action traders, SMC / ICT practitioners and anyone who builds setups around break-and-retest logic.
The system is fully automated, non-repainting after confirmation, and works on any symbol and timeframe that PulseWire supports.
📐 UNIQUE EDGE — WHAT MAKES IT DIFFERENT
Most break-of-structure indicators stop at drawing a line and an arrow. Break-Retest Quality goes further:
🔹 Every retest is scored on six independent factors and translated into an A / B / C / F grade
🔹 The acceptance zone is an ATR-scaled rectangle that changes color and state as the setup evolves (live WATCH → graded RETEST)
🔹 A "Min Grade To Display" filter keeps weak retests off the chart, so the visual footprint stays clean
🔹 A right-edge WATCH tag pins the currently active level so you never lose track of the live setup
🔹 A compact two-line retest marker shows grade, score and a short outcome tag in a minimal footprint
🔹 Built-in cooldown and single-retest-per-break logic prevent label clutter on choppy price action
This is not a repackaged BOS indicator — it is a quality filter on top of BOS / retest logic.
🧪 METHODOLOGY
1. STRUCTURE DETECTION
Pivot highs and lows are detected with a user-defined Pivot Length. A break is registered when price clears the most recent pivot by at least Min Break ATR Filter × ATR, either on a close (default) or on a wick.
2. RETEST TRACKING
After a confirmed break, the script opens an acceptance zone of ± Retest Tolerance ATR × ATR around the broken level and watches for the first price revisit within Max Bars For Retest.
3. QUALITY SCORING (0-100)
The first retest is graded on six weighted factors:
🔸 Reclaim (25 pts) — how decisively the close reclaims the correct side of the level
🔸 Rejection (20 pts) — wick / body composition on the retest bar
🔸 Depth (20 pts) — how close the extreme of the retest bar lands to the level (no excessive overshoot)
🔸 Speed (15 pts) — how quickly the retest prints after the break
🔸 Volatility (10 pts) — bar range discipline relative to ATR
🔸 Volume (10 pts, optional) — relative volume vs 20-bar SMA
Final score → Grade: A ≥ 80, B ≥ 65, C ≥ 50, F < 50.
4. CONFIRMATION LOGIC
A retest is marked "confirmed" only if the score meets the Min Grade For Confirmation threshold AND the close lands on the correct side of the broken level.
🔔 SIGNALS & ALERTS
Three PulseWire alert conditions are exposed:
🔹 Structure Break Detected — fires the moment a valid break is registered
🔹 First Retest Detected — fires on the first qualifying revisit inside the acceptance zone
🔹 High-Quality Retest Confirmed — fires only when the graded retest meets the confirmation threshold
⚙️ KEY INPUTS
STRUCTURE
• Pivot Length, Use Close Confirmation, Min Break ATR Filter, ATR Length
RETEST
• Max Bars For Retest, Retest Tolerance ATR, Cooldown Bars After Completed Setup, Resolved Zone Extension
SCORING
• Show Numeric Score / Grade, Use Volume Confirmation, Min Grade For Confirmation, Min Grade To Display
VISUALS
• Show Break Line / Labels / Retest Marker / Retest Zone / Watch Zone Text / Resolved Zone Text / Active Level Glow / Right-Edge Watch Tag / Invalidation Line / Outcome Text, Use Grade Colors, Zone Forward Extension, Label Size
PANEL
• Show Panel, Panel Position, Panel Font Size, Show Last Result Row
RUNTIME
• Keep Last Setups (controls how many historical setups stay on the chart)
🧭 HOW TO USE
1. Add Break-Retest Quality to any chart and timeframe. Adjust Pivot Length to match the structure you care about (lower on intraday, higher on swing).
2. Wait for a BRK▲ or BRK▼ label to print — this confirms a structure break.
3. Observe the live acceptance zone and the right-edge WATCH tag. These mark the level and the remaining retest window.
4. When price returns to the zone, read the two-line retest marker: grade + score on the top line, short outcome tag (Strong / Valid / Weak / Failed) on the bottom line.
5. Use the panel to monitor live state, active level, remaining window and the last completed result with its full outcome description.
6. Combine with your own confluences — higher-timeframe bias, liquidity levels, session context, volume profile — before acting on any signal.
⚠️ LIMITATIONS & TRANSPARENCY
🔹 This is an analytical and educational tool, not a strategy. It does not generate buy / sell orders and does not measure historical performance.
🔹 Grades describe the geometric and relative-volume quality of the retest bar at the moment it prints. They are not predictions of future price movement.
🔹 Scores calculated at bar close are final; intra-bar readings can shift until the bar closes.
🔹 The volume factor depends on exchange-supplied volume data. Turn it off on instruments where volume is unreliable or missing.
🔹 Pivot-based structure is sensitive to the Pivot Length setting. Choose it deliberately for the timeframe and symbol you are analyzing.
📢 RISK DISCLOSURE
Trading involves substantial risk and is not suitable for every investor. Past price behavior is not indicative of future results. This indicator is provided for educational and analytical purposes only and does not constitute financial advice, investment advice, or a solicitation to trade any instrument. Always perform your own research and risk management before acting on any signal. Indicator
Reaction Efficiency Meter [AGPro Series]Reaction Efficiency Meter
A pure observation lens that scores every pivot-based support and resistance reaction from 0 to 100 and classifies it as WEAK, LIMITED, FAIR, STRONG or EFFICIENT. Designed to answer one specific question on any chart: how well did price actually react when it touched that level? Not a strategy, not a signal generator — a quality meter for S/R reactions.
🔹 Overview
Reaction Efficiency Meter watches pivot-based support and resistance levels and, the moment price touches any of them, opens a fixed reaction window to observe what happens next. At the end of that window the reaction is scored from 0 to 100 using four weighted components — strength, speed, cleanliness, follow-through — and then classified into a five-tier hierarchy. The result is printed directly on the chart as a color-coded label (BULL or BEAR), while a side panel keeps a live summary of the last bullish reaction, last bearish reaction and the currently active event window. The indicator is built as a post-event quality lens for traders who already work with horizontal levels, pivot zones, or structural S/R and want an objective readout of reaction quality instead of a subjective eyeball assessment.
🔸 Unique Edge
Most support and resistance indicators stop at drawing lines or zones. Reaction Efficiency Meter goes one step further and evaluates the reaction itself on a fixed, reproducible scale. Four distinct quality dimensions are blended into a single 0-100 score, and a separate adverse-excursion penalty reduces the score when price violated the level before reacting. The result is a transparent number tied to a five-tier verbal classification (WEAK / LIMITED / FAIR / STRONG / EFFICIENT), which makes reactions directly comparable across symbols and timeframes. There are no repainting signals, no lagging smoothers and no hidden strategy logic — the scoring is purely descriptive and fires only after the reaction window closes on a confirmed bar.
🔹 Methodology
The engine has four clear stages:
1. Level detection. Classic pivot highs and lows are tracked as dynamic resistance and support. Only the most recent N levels per side stay active — older ones are retired, so the chart never clutters.
2. Touch detection. A touch is registered when the bar's range enters a tolerance band around any active level (expressed in ATR units so the logic auto-scales across volatility regimes). A cooldown of N bars between tests on the same level prevents noise from restarting an event too quickly.
3. Event tracking. Once a touch fires, a reaction window of N bars is opened. During that window the script tracks (a) the best favorable excursion in ATR units, (b) the worst adverse excursion in the wrong direction, (c) which bar produced the peak favorable move, (d) the net retained move at window close.
4. Scoring and classification. At window close the four components are combined with a penalty:
• Strength (0-35): best favorable excursion relative to 1.5 ATR reference.
• Speed (0-20): how early the peak favorable bar occurred inside the window.
• Cleanliness (0-20): reduced linearly by adverse excursion.
• Follow-through (0-15): how much of the peak move was retained at window close.
• Adverse penalty (up to -15): applied when price broke through the level.
Final score is clamped 0-100 and mapped to: WEAK (<25), LIMITED (25-44), FAIR (45-64), STRONG (65-79), EFFICIENT (80+).
🔸 Signals & Alerts
The indicator does not emit buy or sell alerts. Its outputs are purely descriptive:
• A color-coded reaction label (BULL or BEAR with score and tier) plotted after each completed window.
• Active zone rectangle and reaction corridor drawn around the touched level while the window is open.
• Touch markers on the bar where a new event begins.
• Live status tag showing BULL WINDOW x/N or BEAR WINDOW x/N during an active event.
• A stateful side panel with Status, Last Bull, Last Bear, Window progress and Mode rows.
All visuals render on confirmed bars only, so the score and tier of a completed reaction do not change afterwards.
🔹 Key Inputs
• Pivot Length — bar distance used to qualify pivot highs and lows.
• Max Active Levels / Side — how many recent resistance and support levels stay active.
• ATR Length — volatility reference for tolerance, corridor depth and scoring.
• Touch Tolerance (ATR) — how close to the level a bar must come to count as a touch.
• Reaction Window Bars — fixed observation length per event.
• Minimum Bars Between Tests — cooldown on the same level.
• Reaction Corridor Depth (ATR) — vertical span of the reaction corridor drawn during the window.
• Display group — toggles for levels, tags, markers, labels, active zone, corridor, panel.
• Theme & Layout — panel theme (Auto / Dark / Light), position, font size, line width and opacity controls.
🔸 How to Use
The indicator is intended as a companion lens, not a standalone system. Typical workflows include:
• Confluence study. Compare reaction scores at different levels on the same chart to see which zones historically produced stronger reactions.
• Bias assessment. Watching whether BULL and BEAR labels on a given timeframe skew toward higher or lower tiers can inform directional bias for discretionary decisions made elsewhere.
• Framework validation. Add it on top of an existing S/R, order block or pivot framework to quantify whether the levels those tools produce actually generate efficient reactions.
• Multi-timeframe scanning. Running the indicator on multiple timeframes shows where strong reactions cluster — often useful for context, not entry timing.
The tool is descriptive and retrospective. It is not designed to replace risk management, structural analysis or the user's own trading plan.
🔹 Limitations & Transparency
• The reaction window is fixed per event. Very fast V-reversals may still register as WEAK if most of the favorable move happens after the window closes; conversely, slow grind reactions may score lower on the Speed component even when the net outcome is good.
• Pivot-based levels are, by definition, confirmed with a lag equal to Pivot Length bars.
• Scores are descriptive — a STRONG tag on a past reaction does not imply that the next test of the same level will also react strongly.
• All scoring uses confirmed-bar logic, so the indicator is non-repainting by design.
🔸 Risk Disclosure
This indicator is provided for educational and analytical purposes only. It is not financial advice, not a trade signal generator, and not a recommendation to buy or sell any instrument. Trading involves substantial risk of loss. Past reactions do not guarantee future reactions. Users are solely responsible for their own trading decisions and risk management. Indicator
Silver Bullet Window Map [AGPro Series]Silver Bullet Window Map
🔹 Overview
Silver Bullet Window Map is a precision time-based tool that maps the three classic ICT "Silver Bullet" kill zones — compact 1-hour windows where institutional order flow is statistically concentrated — and automatically detects Fair Value Gap (FVG) imbalances formed inside each window. Instead of cluttering the chart with session-wide structures, the script isolates only the high-probability time periods ICT scalpers actually trade, rendering each window as a clean vertical zone with a live countdown, pulse highlight on the active window, and a lifecycle S/R zone for every FVG that prints during the window.
🔸 Unique Edge
Most Silver Bullet scripts either draw static colored backgrounds with no analytical value, or detect FVGs across the entire session and overwhelm the chart. This script does neither. It enforces a strict discipline: FVGs are only drawn if they form INSIDE an active Silver Bullet window. Outside-window price action is deliberately ignored. The result is a chart where every marked imbalance carries ICT-legitimate timing context — not noise. Each FVG becomes a horizontal lifecycle zone (bull or bear) that extends forward in time and is dimmed automatically when mitigated, giving you both a real-time map and a historical window-quality record in one view.
🔹 Methodology
The indicator evaluates the current bar's hour and minute in a user-selectable timezone (New York default, per ICT standard) and identifies three windows: London (03:00–04:00), AM (10:00–11:00), and PM (14:00–15:00). During each window, a three-bar FVG check is performed on confirmed bars: a bullish FVG requires the current bar's low to exceed the high two bars back; a bearish FVG requires the current bar's high to fall below the low two bars back. Gaps are filtered by a user-tunable ATR(14) multiplier to reject insignificant imbalances. Valid FVGs are rendered as time-anchored rectangular zones that extend a configurable number of bars into the future and are marked as mitigated the moment price revisits the opposite side of the gap.
A built-in timeframe guard disables rendering on timeframes of 1 hour and above, because Silver Bullet windows are exactly 1 hour long and cannot be resolved by bars equal to or larger than the window itself. On HTF charts, the panel displays a clean warning message instead of a broken visual.
🔸 Signals & Alerts
Four alert conditions are available: London window open, AM window open, PM window open, and window close. The script is designed for discretionary use — it does not issue buy/sell signals. Its purpose is to put the trader inside the correct time context with the correct structural references, and to let the trader read price action within that context.
🔹 Key Inputs
• Timezone: New York / London / UTC / Exchange
• Historical window depth: 1–30 days
• Individual toggles and custom colors for each of the three windows
• Active-window pulse effect (on/off)
• FVG detection (on/off), minimum size as ATR multiple, zone extension in bars
• Mitigation behavior: dim inactive zones or remove them
• Panel position, theme (Dark/Light), and font size
• Window labels and FVG labels: independently toggleable, font size configurable
🔸 How to Use
Best deployed on 1m–30m intraday charts where the 1-hour windows are visually meaningful. The AM window (10:00–11:00 NY) is historically the most actionable for US equities, indices, and major FX pairs. Wait for a window to open — the background lights up, the panel shows ● LIVE, and the window label appears above the opening candle. Look for a displacement candle creating an FVG inside the window. Use the FVG zone as a retest entry reference with risk defined beyond the gap. The panel's countdown and per-window FVG tally help you gauge window quality in real time. At the end of each day, the L / AM / PM tally shows which window produced the most imbalances — a quick read on session character.
🔹 Limitations & Transparency
This indicator does not predict direction. It does not backtest or display historical win rates — such figures on a time-window tool would be statistically misleading without an execution model. FVG detection uses the standard 3-bar definition; alternative definitions (implied fair value, BPR, inversion FVGs, etc.) are not covered by design. The tool is timezone-sensitive: if your data feed's timestamps drift from the selected timezone's DST boundaries, window alignment can shift by one bar around DST transitions. On timeframes equal to or greater than 1 hour, the script deliberately disables all rendering to avoid producing a misleading visual.
🔸 Risk Disclosure
This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading leveraged instruments carries substantial risk of loss. Past price behavior around kill zones does not guarantee future results. Use proper risk management and position sizing at all times. Indicator
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index.
This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection.
It is designed as a context-building indicator, not a standalone entry system.
What This Indicator Does
This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements:
1. Adaptive RSI Visualization
The core RSI is plotted with:
Zone-based color changes (neutral, oversold, overbought)
Optional glow effects to emphasize extreme conditions
User-defined color intensity and midline visibility
The goal is to provide clearer visual segmentation of trend strength and momentum behavior.
2. Custom Smoothing & Signal Line Options
The indicator allows:
Multi-layer smoothing for RSI stability
An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA)
This helps operators examine whether momentum is accelerating or stabilizing relative to its mean.
3. Overbought/Oversold Tools
User-defined thresholds determine:
Highlighted zones
Optional markers for extreme reversals (based on RSI + momentum + velocity criteria)
Midline (50) cross highlights for trend-bias transitions
These features help contextualize where the RSI sits relative to broader momentum regimes.
4. Divergence Detection (Optional)
When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure.
It compares:
Price making lower lows vs RSI making higher lows (bullish)
Price making higher highs vs RSI making lower highs (bearish)
Detected divergences are plotted on the RSI panel with visual labels.
This detection uses pivot lookbacks and range limits defined by the user.
5. Alerts
The indicator provides optional alerts for:
Extreme reversals
Overbought/oversold momentum shifts
Midline (50) crossovers
Bullish / bearish divergences
Alerts are intended for monitoring, not for automated execution.
How to Use It
This RSI modification is intended to support broader analysis workflows, including:
Identifying regime shifts using midline crosses
Monitoring momentum structure across trend phases
Highlighting oversold or overbought clustering
Adding a visual signal line to interpret momentum smoothing
Spotting divergence between price and RSI
As with all indicators, this tool should be used as one component of a complete analysis framework.
What Makes This Version Distinct
This script maintains the core behavior of RSI but introduces:
A multi-layer smoothing system
Adaptive colors calibrated to oversold/neutral/overbought zones
Optional glow visualizations
A modular signal-line engine with multiple MA types
Configurable divergence detection with visual labels
Multiple marker placement modes for extreme conditions
These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows.
Important Notes
This is an indicator, not a strategy. It does not execute trades or calculate performance metrics.
The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems.
Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Indicator
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0 Indicator
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user. Strategy
Indicator
Time-based LiquidityThis indicator automatically marks important time-based liquidity levels on your chart, helping you stay aware of where major price reactions may occur and the market is forced to show its hand.
Key Features:
Previous Month’s, Week’s, and Day’s Highs and Lows: Displays PMH/PML, PWH/PWL, and PDH/PDL — key reference points where liquidity often accumulates.
Intraday Session Highs and Lows: Divides the trading day into quarters (00:00–06:00, 06:00–12:00, etc. following Day’s Quarterly Theory) and tracks session highs and lows dynamically across these periods.
Current Session 90-Minute Quarters: Splits the active session into 90-minute intervals to highlight short-term liquidity structures and potential reaction zones.
Level Alerts: Tracks when each liquidity level is reached and enables customizable alerts so you don’t miss important price movements.
Use Case:
This tool provides an organized, time-based framework for identifying where liquidity is likely to concentrate across different timeframes and intraday cycles. Use these levels for forming bias, planning entries, exits, or anticipating price reactions at key points in the market structure.
Customization Options:
Enable/disable liquidity levels to display (Daily, Weekly, Monthly, Sessions, Session Quarters)
Customize the appearance of each level (color, style, line width)
Enable or disable tracking and alerts for level interactions
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