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Supertrend Extensions [BOSWaves]Supertrend Extensions - Trend Flip Extension Mapping with Volume-Captured Deviation Level Progression
Overview
Supertrend Extensions is a trend extension mapping system that projects a structured set of deviation levels from each trend flip, where level spacing, crossing detection, and volume capture behavior are driven by the instrument's average range rather than fixed price distances, creating a dynamic extension framework that scales to any instrument or timeframe and records participation data at each milestone as price progresses through the projected levels.
Instead of treating a trend flip as simply a directional signal, each flip generates an immediate sequence of extension levels projected from the flip price in the new trend direction. These levels serve as structured targets and monitoring points throughout the developing move. When price crosses each level, it converts from a numbered solid line to a dashed reference displaying the crossing bar's volume, building a running record of participation quality at each stage of the trend's extension.
This creates a framework that transforms every trend flip into the origin point of a fully mapped extension sequence. The Supertrend band provides the directional anchor that triggers and validates each new projection set, while the deviation levels and their volume capture layer provide the structural and participatory intelligence needed to monitor how the trend is developing from flip through to full extension.
Price is therefore tracked not just for direction but for progression through a volatility-calibrated extension map where participation at each crossing reveals whether the move is being driven by conviction or fading with each successive level.
Conceptual Framework
Supertrend Extensions is founded on the principle that the most valuable information in a trending market is not just the direction of the trend but how price is progressing through extension space from the structural origin, and whether participation at each extension milestone is confirming or undermining the case for further progression.
Standard trend indicators identify direction and provide a trailing band but offer no framework for understanding extension behavior or monitoring participation quality as price moves away from the flip. This framework addresses that gap by treating each trend flip as the start of a measurable extension sequence, projecting levels at range-calibrated distances and capturing volume data as each level is crossed to build a continuously updating picture of trend health from origin to target.
Three core principles guide the design:
Each trend flip should immediately generate a structured extension map anchored to the flip price, providing a pre-calculated sequence of levels that serve as targets and monitoring points without requiring manual analysis.
Deviation level spacing should adapt to the instrument's actual average range, ensuring levels are meaningfully spaced relative to how the instrument typically moves rather than applying identical distances across all markets and timeframes.
Volume participation at each level crossing should be captured and permanently displayed, providing an objective record of whether price is moving through each extension milestone on strong or deteriorating participation.
This shifts trend analysis from directional signal monitoring into active extension progression tracking with volume evidence accumulated at every structural milestone.
Theoretical Foundation
The indicator combines a Supertrend band as the directional trigger, SMA-averaged range-derived deviation spacing for extension level placement, an array-managed line and label object system for level lifecycle management, and volume standard deviation normalization for candle color intensity.
Deviation level distances are derived from the 100-bar SMA of the high-low range multiplied by the configured deviation size, producing spacing that reflects the instrument's typical bar-level price movement and scales automatically as volatility expands or contracts between trend cycles. The array-managed line and label system clears all existing levels on each flip and projects a fresh numbered set, extending each line rightward until price crosses it or the next flip resets the map. Volume normalization divides raw volume by its rolling standard deviation to produce a score that drives candle color intensity relative to recent participation history rather than absolute values.
Four internal systems operate in tandem:
Deviation Level Projection System : On each trend flip, clears all existing deviation lines and labels and projects a fresh numbered sequence at average range-scaled intervals from the flip price in the new trend direction.
Level Extension and Crossing Engine : Extends each active deviation line rightward on every bar and monitors for price crossings in the trend direction, converting crossed levels to dashed references and replacing the level number label with the crossing bar's formatted volume.
Supertrend Band Engine : Provides the directional anchor that triggers each new projection set, maintaining trailing upper and lower bands that define current trend state and flip conditions.
Volume Intensity Candle System : Normalizes volume against its rolling standard deviation and maps the resulting score to a color gradient between a muted and fully saturated version of the trend color, communicating participation strength on every bar.
This design ensures that every trend flip immediately produces a complete extension framework, level crossings accumulate a volume evidence trail, and candle coloring provides continuous participation context throughout the trend's development.
How It Works
Supertrend Extensions evaluates price through a sequence of extension-aware and participation-monitoring processes:
Trend Flip Detection : The Supertrend band registers a flip when price closes through the opposing trailing band, triggering both the signal label and the deviation level projection sequence.
Deviation Distance Calculation : The 100-bar SMA of the high-low range is multiplied by the configured deviation size to produce the spacing distance between consecutive deviation levels for the new trend cycle.
Level Projection on Flip : All existing deviation lines and labels are deleted and a fresh numbered set is projected from the flip bar's close, with each level placed at a sequential multiple of the deviation distance in the new trend direction.
Level Extension : On each bar following the flip, all active deviation lines extend their right endpoint to the current bar, maintaining continuous horizontal reference lines across the developing trend.
Crossing Detection : Each active level is tested for price crossing on every bar, with bar highs tested against bullish levels and bar lows tested against bearish levels to identify genuine price contact with each extension milestone.
Volume Capture on Crossing : When a level is crossed, its line converts to dashed style with a dimmed color and the label text replaces the sequential number with the crossing bar's volume formatted for readability, permanently recording participation at that extension point.
Volume Intensity Candle Coloring : Each bar's volume is divided by its 200-bar rolling standard deviation to produce a normalized score capped at four, which maps to a color gradient from muted transparency at low participation to full trend color saturation at peak volume.
Signal Label Placement : Bullish flips produce a triangle-up label with the flip price below the Supertrend line and bearish flips produce a triangle-down label with the flip price above, anchoring each new extension map to its precise origin price.
Together, these elements form a continuously updating extension monitoring system where flip events generate structured projection maps, level crossings accumulate volume evidence, and candle intensity communicates participation strength throughout every stage of the trend.
Interpretation
Supertrend Extensions should be interpreted as a trend extension progression system with volume participation captured at each structural milestone:
Bullish Trend State (Green) : Active when price has closed above the trailing upper band, with deviation levels projected upward from the flip price as sequential bullish extension targets.
Bearish Trend State (Red) : Active when price has closed below the trailing lower band, with deviation levels projected downward from the flip price as sequential bearish extension targets.
Deviation Levels (Solid, Numbered) : Uncrossed extension levels projected from the most recent flip price, numbered sequentially from one outward in the trend direction, representing the structured target sequence for the current trend cycle.
Deviation Levels (Dashed, Volume Labeled) : Levels that have been crossed by price, converted to dashed style and displaying the crossing bar's volume rather than the level number. These form a permanent record of participation quality at each extension milestone already reached.
Volume Labels on Crossed Levels : Volume readings at crossed levels reveal whether price moved through each extension point on meaningful participation or on thin activity, providing an accumulated evidence trail for assessing trend conviction across the full extension sequence.
Supertrend Line : The solid colored band line provides the active trailing support or resistance reference for the current trend, serving as the invalidation boundary for the current directional state and the trigger for each new deviation level projection cycle.
Trend Fill : Gradient fill between the Supertrend line and the bar midpoint provides a continuous visual representation of the gap between price and the structural boundary.
▲ / ▼ Flip Signals : Triangle labels displaying the flip price mark each trend change origin, providing a clean visual anchor that corresponds to the starting point of the current deviation level projection set.
Volume Intensity Candles : Optional candle coloring brightens with above-average participation and fades toward a muted version of the trend color on low-volume bars, providing bar-level conviction readings without leaving the price chart.
Deviation level progression, volume at crossed levels, and candle intensity collectively provide more information than trend direction alone.
Signal Logic & Visual Cues
Supertrend Extensions presents two primary trend transition signals alongside continuous extension level monitoring:
Bullish Flip (▲) : Triggered when price closes above the trailing upper band, displaying the flip price below the bar and projecting a fresh set of upward deviation levels from the flip price.
Bearish Flip (▼) : Triggered when price closes below the trailing lower band, displaying the flip price above the bar and projecting a fresh set of downward deviation levels from the flip price.
Deviation level crossings provide continuous secondary context throughout each trend cycle, converting each extension milestone into a volume-stamped reference that builds a participation evidence log from flip to target.
Alert generation covers bullish and bearish trend flips for systematic trend monitoring and notification workflows.
Strategy Integration
Supertrend Extensions fits within structured extension target and trend progression monitoring approaches:
Deviation Level Target Sequencing : Use the projected deviation levels as a staged exit framework, planning partial position reductions at each sequential level rather than targeting a single fixed price, allowing structured progression management calibrated to each trend's specific origin and volatility context.
Volume Confirmation at Levels : Monitor the volume displayed when deviation levels are crossed to assess participation quality at each extension stage. Sustained or increasing volume at successive crossings supports further progression, while declining volume at each level warns of weakening extension commitment.
Flip-Based Trend Entries : Use Supertrend flip signals as primary trend initiation triggers, with the immediately projected deviation levels providing an instant target framework from the moment of entry.
Supertrend Band Pullback Reference : Use the Supertrend line as a dynamic pullback reference within established trends, monitoring candle volume intensity on band retests for participation evidence supporting continuation rather than breakdown.
Deviation Size Calibration by Timeframe : Adjust the deviation size multiplier to match the instrument's typical trend range at the target timeframe, ensuring the extension map spans a realistic distance relative to expected directional movement.
Multi-Timeframe Extension Alignment : Apply higher-timeframe Supertrend state as a directional bias filter, engaging with lower-timeframe extension level sequences only when they align with the established higher-timeframe trend direction.
Technical Implementation Details
Deviation System : 100-bar SMA of high-low range scaled by configurable deviation size multiplier with configurable level count
Level Lifecycle : Array-managed line and label objects cleared on each flip, extended rightward each bar, and converted to dashed references with volume labels on crossing
Supertrend Engine : ATR-scaled trailing band with configurable multiplier and length as directional anchor and flip trigger
Volume Normalization : 200-bar standard deviation-based scoring mapped to candle color gradient intensity
Visualization : Solid and dashed deviation levels with volume labels, Supertrend line with trend fill, flip signal labels, and volume-intensity candle coloring
Signal Logic : Band crossover state-switch detection with independent bullish and bearish flip conditions
Performance Profile : Optimized for real-time execution with array-based object management and max_bars_back configuration supporting deep historical calculation
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday extension mapping for scalping with tighter deviation spacing and lower level count for fast-moving target sequences
15 - 60 min : Session-level extension progression with balanced deviation size and moderate level count for structured intraday target management
4H - Daily : Swing-level extension mapping with wider deviation spacing and higher level count reflecting larger price swings between flip events
Suggested Baseline Configuration:
ATR Multiplier : 5.0
ATR Length : 14
Deviation Size : 2.7
Deviation Count : 4
Show Signals : Enabled
Color Candles : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's typical extension range, average bar size, and preferred level density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Deviation levels too close together : Increase Deviation Size to spread levels further apart relative to the average bar range, producing a wider extension map that better reflects the instrument's typical trend range at the target timeframe.
Deviation levels too far apart : Decrease Deviation Size toward 1.0 to tighten level spacing, producing more granular extension targets suited to lower timeframes or lower-volatility instruments.
Too many levels cluttering the chart : Reduce Deviation Count to limit projected levels to the nearest and most actionable targets, focusing the extension map on realistic near-term progression milestones.
Too few levels to cover the typical trend range : Increase Deviation Count up to the maximum of six to extend the projection sequence further, covering a wider range of potential extension targets for instruments with larger typical trending moves.
Too many trend flips resetting the extension map : Increase the ATR Multiplier to widen the Supertrend band and require more significant price displacement before a flip resets the deviation level sequence.
Trend flips too slow to capture structural changes : Decrease the ATR Multiplier toward 2.0 for a more responsive band that generates fresh extension maps closer to actual structural shifts in price direction.
Candle coloring too uniform : The volume intensity gradient operates on a standard deviation basis. On instruments with very consistent volume distribution the gradient range may appear compressed, which is expected and reflects genuinely low variation in participation levels.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with sustained directional moves where deviation levels are reached sequentially and volume at each crossing provides meaningful progression confirmation
Instruments with consistent average range behavior where deviation spacing calibrates reliably to the instrument's typical bar-level price movement across different trend cycles
Structured target-based approaches where the deviation level sequence provides a systematic exit framework calibrated to each trend's specific origin and volatility context
Multi-timeframe workflows where higher-timeframe trend direction filters lower-timeframe flip signals for directional alignment with the broader trend
Reduced Effectiveness:
Choppy, range-bound markets where frequent trend flips reset the extension map before price reaches the first deviation level, preventing a useful progression sequence from developing
Extremely volatile instruments where large individual bars cause the average range to spike, producing deviation spacing that overstates typical extension potential for subsequent trend cycles
Low-volume instruments where the standard deviation-based candle coloring loses discriminative power due to irregular or thin volume distribution
News-driven or gap-heavy markets where trend flips occur on discontinuous price action that distorts the average range calculation and misaligns deviation level placement relative to actual structural extension potential
Consolidation environments where price oscillates near the Supertrend band without establishing the sustained directional movement required for sequential deviation level progression
Integration Guidelines
Confluence : Combine with BOSWaves momentum tools, order flow analysis, or market structure indicators to validate trend flip signals and assess the broader analytical context before committing to deviation level target sequences
Volume Label Monitoring : Review volume labels on crossed deviation levels as a running confirmation log for the trend. Declining volume at successive levels suggests weakening extension commitment and warrants caution about remaining target progression.
Deviation Level Respect : Treat uncrossed deviation levels as active areas of potential price reaction rather than guaranteed targets. Monitoring candle behavior and volume intensity as price approaches each level provides early indication of whether the level will be crossed or act as a reversal point.
Extension Map Freshness : Recognize that deviation levels are anchored to the most recent flip price and reflect the volatility conditions at that specific origin point. As time passes within a trend cycle, reassess whether the projected levels remain relevant to current market conditions.
State Discipline : Maintain directional bias aligned with the current Supertrend state until a confirmed flip occurs. Temporary pullbacks toward the active band that do not close through it do not constitute trend changes and should not trigger premature exits from active extension target sequences.
Disclaimer
Supertrend Extensions is a professional-grade trend extension mapping and volume participation tracking tool. It uses range-calibrated deviation level projection with volume capture at each crossing but does not predict future price movements. Results depend on market conditions, instrument volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management. 指標
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[3Commas] Ether Vault Grid - ETH/USDT Ether Vault Grid — ETH/USDT
🔷 What it does:
This strategy implements a static geometric grid trading system for Ethereum, designed to capture range-bound oscillations between a configurable High and Low price boundary. It pre-computes 28 price levels using geometric spacing (≈ 1.23% step), buys at each level on close-cross-down, and sells at the next level up on close-cross-up. Unlike adaptive grid variants with trailing logic, this version stays locked to the original range — no auto-shift up or down. Profit comes from capturing the spread between adjacent grid lines on every oscillation; the structure is designed for periods where ETH consolidates within a defined band rather than trending strongly in one direction.
- 28 geometrically-spaced levels between Low (1625.56) and High (2258.88)
- Buy on close-cross-down through an unfilled level; sell on close-cross-up through the next level
- Fixed notional per level (178.57 USDT default), all fills equally sized
- No trailing up — grid stays locked to the configured range
- No stop loss — positions held until matching sell level is hit
🔷 Who is it for:
Swing traders who identify ranging conditions on Ethereum and want to monetize the oscillations.
Bot operators who automate grid execution through webhook integration with a connected bot.
Spot accumulators with a directional view that ETH will remain inside the configured boundaries during the deployment period.
Risk-conscious participants who prefer predictable accumulation envelopes (capped at full-grid-filled at the Low boundary).
🔷 How does it work:
Long Entry: When close crosses down through an unfilled grid level, the strategy opens a long position sized to the per-level notional amount (default 178.57 USDT). Each level operates independently — multiple buys can stack across the ladder simultaneously during a downward swing, creating a structured accumulation pattern.
Short Entry: Not used — this is a long-only spot grid.
Exit Management: For each filled level, the strategy places a limit exit at the next level up. When close crosses up through that target, the position closes and the level becomes available to buy again. No stop loss is used; the grid's Low boundary defines the structural worst-case accumulation point.
Static range — the grid does NOT shift when price exits the boundary. If price breaks above High, the strategy stops opening new buys until price returns inside the band. If price breaks below Low, all 28 levels are filled and the position holds unrealized loss until either the average is recovered or the user manually closes.
🔷 Why it's unique:
Pure static range design — most grid implementations include trailing-up logic that compromises the original risk envelope when price trends. This variant stays locked to the configured range, which gives a fully predictable worst-case scenario: maximum unrealized loss is bounded by (Current Price − Grid Low) × Total Position at Low. Traders know exactly what they are signing up for before deploying capital.
Calibrated for ETH volatility — the 1.23% step and 28-level ladder are wider and sparser than micro-priced altcoin grids (which use ~0.6% step and 56 levels). This matches ETH's larger absolute moves and lower noise — fills are less frequent but each captures meaningful spread, which suits a swing-trading time horizon rather than scalping.
Bot Integration — entry alerts ship with webhook-ready JSON payloads. The grid_start alert fires once on first activation. Bot ID, Email Token, and pair label are exposed as inputs.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: This strategy is calibrated for a 15-minute chart on ETH/USDT spot pairs with active intraday range. Fill density depends directly on how often close crosses grid levels. Higher timeframes (1h+) produce far fewer fills; lower timeframes (1m, 5m) generate more fills but slow backtests on TradingView's plan limits. The runtime warning label flags any TF other than 15m.
Limitations: No stop loss and no trailing range adjustment. The strategy is structurally exposed to two failure modes:
(1) Price breaks above High — strategy idles, no new fills until reversal back into range
(2) Price breaks below Low — all 28 levels fill, unrealized loss accumulates until average is recovered or position is manually closed
This is the trade-off of a pure static grid: predictable risk envelope, but no adaptive protection against trend breakouts. Pair this strategy with manual range validation and an exit plan before deploying capital.
Backtesting & Demo Testing: Always validate the grid range and step size on historical data for the specific instrument. ETH's volatility profile shifts across market cycles — what was a ranging instrument can become a strong-trend instrument and vice versa. Re-test on your own venue using venue-specific commission and slippage. Demo-trade for at least one month before any live deployment. Past performance is not indicative of future results.
Parameter Adjustments: Commission defaults to 0.10% (Bybit spot taker). Adjust for your venue — Binance Spot ~0.10%, Coinbase Advanced ~0.50%, OKX Spot ~0.08%. The grid range and level count should be re-evaluated for each new deployment period — ETH's "fair range" shifts over time, and a grid calibrated for one regime may not work for the next.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ETHUSDT (Ethereum / Tether Spot). Strategy is generic — works on any spot pair with sufficient depth and structural range.
Timeframe: 15m chart (mandatory — strategy is calibrated for this TF).
Test Period: Jan 17, 2026 — May 18, 2026 (≈ 4 months / last 120 days).
Initial Capital: 6,000 USDT (5,000 investment + 1,000 buffer for commission and grid fluctuations).
Order Size per Trade: 178.57 USDT per grid level. Total investment envelope = 5,000 USDT (28 levels × 178.57). Maximum simultaneous position count: 28 levels.
Commission: 0.10% taker — Bybit spot reference; adjust for your venue.
Slippage: 2 ticks — typical taker execution on liquid ETH/USDT pairs.
Margin for Long and Short Positions: 100% (1× leverage assumed; no margin amplification).
Indicator Settings: Default Configuration.
Grid Mode: Geometric
High Price: 2258.88
Low Price: 1625.56
Levels: 28
Amount per Level: 178.57 USDT
Trailing Up: disabled
Step (computed): ≈ 1.23%
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +655.01 USDT (+10.92%)
Max Drawdown: 431.16 USDT (7.14%)
Total Closed Trades: 367
Percent Profitable: 63.49% (233 / 367)
Profit Factor: 2.488
Reference TradingView Pine backtest on BYBIT:ETHUSDT (15m chart), Jan 17 2026 — May 18 2026 (≈4 months / last 120 days at time of publication). The reference period captures ETH's ranging-to-mildly-recovering phase after the early-2026 drawdown, which is structurally favorable for static range grids — the strategy fills repeatedly as price oscillates through the band. 3Commas built-in backtest reference (last 120 days): +10.09% before optimization, +13.23% after optimization. The Pine simulation differs slightly from 3Commas due to fee structure, slippage model, and close-based level-crossing detection vs. exchange-side limit orders. Re-test on your own venue with venue-specific commission before live deployment.
🔷 How to Use It:
🔸 Adjust Settings: Set the grid High and Low boundaries based on ETH's observed range over the past 1–3 months. The default 1625.56 — 2258.88 envelope reflects ETH's recent volatility band. Amount per level should be sized so that filling the entire ladder (all 28 levels = 5,000 USDT exposure) does not exceed your risk budget. Scale linearly to your equity. Always confirm you are on a 15-minute chart — the runtime warning label flags mismatches.
🔸 Results Review: Verify Maximum Drawdown stays within your personal risk budget. The strategy operates with no stop loss, so the worst-case is the full grid being filled at the Low boundary while price continues lower. Calculate this scenario before going live: if every level fills and price drops 10% below the grid Low, what is your unrealized loss? That is your hard floor. Re-test on your own venue with realistic commission and slippage.
🔸 Create alerts to trigger the connected bot: The strategy exposes a "grid_start" alert that fires once when the first bar enters the configured backtest window. Configure the alert in TradingView with the webhook URL pointing to your bot's signal endpoint. The Bot ID, Email Token, and Pair label can be set in the script's inputs. Note that grid bots are typically configured directly within the bot interface, so this alert is primarily informational for monitoring purposes.
🔷 INDICATOR SETTINGS
Grid High Price — Upper boundary of the grid range.
Grid Low Price — Lower boundary of the grid range.
Grid Levels — Total number of price levels between Low and High (default 28).
Grid Mode — Distribution of levels: Geometric (constant % spacing) or Arithmetic (constant absolute spacing).
Amount per Level (USDT) — Notional value of each buy fill.
Total Investment (USDT, ref) — Reference total capital deployed across all levels (informational).
Trailing Up — Disabled by default; enable to make grid shift up on breakout (turns this into adaptive grid behavior).
Trail Up Threshold % — Percentage above High at which trailing-up triggers (only used if Trailing Up enabled).
Shift Up Magnitude % — How much of the current range to shift when trailing-up fires (only used if Trailing Up enabled).
Limit by Date Range — Constrain backtest to a specific date window.
Show grid lines on chart — Toggle visual display of all level lines.
Recommended TF (for warning) — Timeframe baseline for the runtime mismatch warning (default 15m).
Stats card / Watermark — Display layer controls for on-chart backtest summary and branding.
Webhook — Bot ID, Email Token, and Pair label for connected bot signal routing.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. 策略
SmartFlow Kill ZoneSmartFlow Kill Zone highlights the three major trading sessions (Tokyo, London, New York) and their corresponding ICT Kill Zones directly on your chart. Designed for intraday traders who use session-based and Smart Money Concepts (SMC) strategies, this indicator gives you instant visual clarity on when high-probability trading windows are active.
█ WHAT IT DOES
This indicator identifies and displays the three global forex sessions and three ICT Kill Zones using distinct background colors. It also tracks the High and Low of each session in real time and draws horizontal reference lines that update as the session progresses.
A built-in dashboard provides a quick overview of which sessions and Kill Zones are currently active, along with each session's range in pips.
█ HOW IT WORKS
Session and Kill Zone detection is based on time-of-day logic using the user-selected timezone (default: America/New_York):
Sessions:
- Tokyo: 19:00 – 04:00 ET
- London: 03:00 – 12:00 ET
- New York: 08:00 – 17:00 ET
Kill Zones (ICT):
- London Kill Zone: 02:00 – 05:00 ET
- New York Kill Zone: 07:00 – 10:00 ET
- Asian Kill Zone: 20:00 – 00:00 ET (off by default)
Session High/Low lines are drawn from the session's opening bar and updated on every new bar during the session. When a session closes, lines optionally extend to the right until the next session of the same type begins. Previous sessions' High/Low lines are preserved across multiple days (configurable via "Days to Display").
The dashboard table uses the last bar's data to show open/closed status, the session's current range, and whether any Kill Zone is active.
█ HOW TO USE
- Apply the indicator to any intraday chart (1m to 1h recommended).
- Use the background shading to quickly identify which session you are trading in.
- The brighter Kill Zone overlay tells you when the highest-probability reversal windows are active — this is where ICT traders look for optimal trade entries.
- Session High/Low lines act as key reference levels. Price often reacts at these levels as they represent session-based liquidity.
- The dashboard gives you a heads-up display so you never miss a Kill Zone activation.
█ FEATURES
- Three session backgrounds with independent on/off toggles
- Three ICT Kill Zone backgrounds with independent on/off toggles
- Real-time Session High/Low tracking with configurable line style and width
- High/Low labels that update live during the session
- "Extend Lines Right" option for lines to project forward until the next session
- Multi-day history (up to 30 days of past session H/L lines)
- Dashboard with session status, range (pips), and Kill Zone status
- Dashboard position and size are fully customizable
- 9 alert conditions (session open/close and Kill Zone activation)
- Full timezone support (10 major timezones)
- Works on any symbol and any intraday timeframe
█ SETTINGS
Sessions — Toggle visibility for Tokyo, London, and New York sessions.
Kill Zones — Toggle each ICT Kill Zone independently. Asian KZ is off by default.
Colors — Customize background colors for each session and Kill Zone.
Session High/Low — Toggle H/L lines and labels, set line width, style, and right extension.
Dashboard — Toggle, reposition, and resize the info panel.
Timezone — Select the timezone used for session calculations.
History — Set how many days of past session H/L lines to display (1–30).
█ NOTES
- This indicator does not generate buy or sell signals. It provides session structure and timing context to support your own trading strategy and decision-making.
- Kill Zone times are based on the ICT (Inner Circle Trader) framework. Different educators may define slightly different windows.
- For best results, use on timeframes of 1 hour or lower where session boundaries are clearly visible. 指標
Elaris Doji Finder ProElaris Doji Finder Pro is a professional-grade candlestick analysis indicator designed to detect high-quality Doji formations with advanced context filtering, signal scoring, and clean visual confirmations.
Unlike basic Doji detectors that simply highlight small candle bodies, this indicator evaluates market structure, volatility, wick behavior, trend context, and optional volume confirmation to help traders identify stronger indecision and potential reversal zones.
The indicator supports multiple Doji types including Neutral Doji, Long-Legged Doji, Dragonfly Doji, and Gravestone Doji while providing a premium TradingView experience with customizable visuals, signal quality scoring, smart dashboards, and non-repainting confirmed signals.
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FEATURES
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• Detects multiple Doji candle types
• Advanced candle body and wick analysis
• ATR-based volatility filtering
• EMA trend context filtering
• Volume confirmation system
• Swing support & resistance proximity filter
• Bullish / bearish contextual bias detection
• Signal quality scoring engine
• Professional dashboard interface
• Dark mode and light mode support
• Clean labels and compact signal markers
• Fully customizable settings
• Optimized for crypto, forex, indices, and stocks
• Non-repainting candle-close confirmation mode
• Built-in alert conditions
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SUPPORTED DOJI TYPES
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• Neutral Doji
Classic indecision candle with a very small body.
• Long-Legged Doji
High-volatility indecision candle with extended upper and lower wicks.
• Dragonfly Doji
Bullish rejection-style Doji often appearing near local lows or support zones.
• Gravestone Doji
Bearish rejection-style Doji often appearing near local highs or resistance zones.
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HOW TO USE
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Bullish Doji signals may become more effective when:
• Appearing near support
• Forming after strong sell pressure
• Confirmed by rising volume
• Appearing against an extended downtrend
Bearish Doji signals may become more effective when:
• Appearing near resistance
• Forming after strong buying pressure
• Confirmed by elevated volume
• Appearing after aggressive trend extensions
The signal quality score can help filter weaker setups and focus on higher-probability Doji structures.
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NON-REPAINTING
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This indicator can operate in non-repainting mode when “Confirm Signals On Candle Close” is enabled. Signals are confirmed only after candle close.
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DISCLAIMER
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This indicator is designed for educational and analytical purposes only. Always use proper risk management and combine candlestick signals with broader market context before making trading decisions.
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AetherEdge - Liquidity Sweep & Raid Detector🖊️ Overview
AetherEdge Liquidity Sweep & Raid Detector is a professional-grade smart money analysis tool that exposes institutional stop hunts (liquidity raids) and Equal Highs/Lows liquidity pools in real time. By integrating ATR-based significance filters, three-tier sweep confirmation modes, and projected stop hunt zones, it visualizes "who, where, and why" liquidity is being taken—enabling traders to follow institutional footprints with both reversal and continuation entries.
🔶 Key Features
ATR-Adaptive Pivot Detection: Extracts only meaningful swings
Equal Highs/Lows Detection: Auto-marks liquidity pools
3 Sweep Confirmation Modes: Wick Only / Close Back / Wick + Close Back
Stop Hunt Zone Projection: Boxes mark institutional revisit zones
3 Zone Management Modes: Keep / Fade on Touch / Remove on Touch
Reversal Candle Requirement: Filters false sweeps
Break of Structure (BOS): Auto-detects structural shifts
ATR Wick Size Filter: Eliminates shallow sweeps
Pending Sweep System: Configurable max-bars window for close-back confirmation
Statistics Dashboard: Bull/Bear sweep counts, EQH/EQL, active hot zones
🧠 Technical Architecture
This indicator implements core ICT/SMC concepts via pivot array management and a pending state machine to deliver a professional liquidity-tracking engine.
Significance Pivot Layer:
ta.pivothigh/low for confirmed swing detection
ATR × multiplier filters out "noise swings"
Arrays manage 50 historical pivots (price, bar, swept flag)
Equal Highs/Lows Detection:
Scans pivots within eqLookback
|currentPivot - prevPivot| ≤ ATR × tolerance for equality
Draws horizontal line at midpoint with optional right-extension
Sweep Detection Engine:
Wick Only: Wick breaks pivot + immediate inside close + reversal confirmation
Close Back: Wick breaks, then close returns inside within sweepMaxBars
Wick + Close Back: Both conditions met (highest precision)
Pending arrays handle multi-stage confirmation asynchronously
Stop Hunt Zones:
Box generated at sweep point with zoneHeightATR height
Extended zoneExtend bars right
Lifecycle managed via Fade / Remove / Keep on touch
BOS Detection: Unswept pivot's close-break marks structural shift
Memory Management: maxObjects FIFO-prunes all lines/labels/boxes
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC (15M–1H): pivLen=10, atrMinMult=0.3, sweepMode=Wick + Close Back (standard)
ETH (5M–15M): pivLen=8, sweepMaxBars=4 for faster confirmation
SOL (high-vol): atrMinMult=0.5, sweepMinWick=0.4 for stricter filter
XRP (range): eqTolerance=0.15 to relax equality detection
Sweep Mode Selection:
Wick Only: High frequency, day trading / scalping
Close Back: Medium frequency, most balanced
Wick + Close Back: Highest precision, swing trading (recommended)
Zone Management:
Fade on Touch: Preserves history, tracks revisits (recommended)
Remove on Touch: Cleaner charts
Keep: Full retention, long-term analysis
Tuning:
Too many signals: atrMinMult=0.5, sweepMinWick=0.5
Too few signals: requireReverse=false, sweepMaxBars=5
Better EQ accuracy: eqMinDistance=5 to suppress clusters
💡 How to Use in Practice
Bullish Sweep (Low Grab) → Long: Buy the bounce after institutions raid downside stops
Bearish Sweep (High Grab) → Short: Sell after upside stop hunt
EQH/EQL → Liquidity Targets: Price likely magnetizes here
Stop Hunt Zone Revisit: Once-swept zones often retest
BOS + Sweep Combined: Strongest structural shift confirmation
AetherEdge Synergy:
WaveTrend Enhanced OS Extreme + Bullish Sweep = max-conviction bottom
Self-Evolving S/R Grid strong support + Low Grab = institutional-sync entry
SuperTrend Multi-Factor Bull flip + BOS Up = trend ignition capture
Multi-TF Strategy: 1H EQH for liquidity map → 15M sweep for entry → 5M for precision timing
⚠️ Important Notes
Pivot Lag: pivLen-bar delay inherent (no real-time detection)
ATR Filter Dependency: Sweep detection drops in low-volatility regimes
Close Back Pending: Auto-cancels after sweepMaxBars—watch for missed signals
EQ Over-detection: Large eqLookback may match outdated pivots
Zone Revisit: Probabilistic, not guaranteed
Sweeps in Strong Trends: Can be confused with breakouts—context confirmation required
🚨 Disclaimer
This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. Liquidity sweeps and stop hunt zones represent probabilistic market behavior patterns and do not guarantee profits. All trading decisions are made at your own risk and should be accompanied by proper risk management. 指標
AetherEdge KNN Breakout Fortress🖊️ Overview
AetherEdge KNN Breakout Fortress is a revolutionary fortress-style indicator that automatically detects price congestion zones (walls) via K-Means clustering and uses a KNN classifier to distinguish "real breakouts" from "fake breakouts" in real time. Every breakout becomes labeled training data after a confirmation window, allowing the system to evolve and adapt to your specific market's wall patterns. End the era of being trapped by fake-outs — this is the next-generation tool built exclusively for breakout strategy.
🔶 Key Features
K-Means Zone Detection: Lloyd's algorithm auto-clusters key price levels
Volume-Weighted Seeding: Volume-weighted price-point clustering
7D KNN Classifier: Density, distance, volatility, RSI, BB-width, age, touches
Real vs Fake Classification: Probability-based wall strength color coding
Pending Learning: Labels assigned N bars after break, then memory updates
Volume Confirmation: Breakouts validated only above volMult threshold
ATR Buffer: Filters out noise-level breaks
Dynamic Zone Extension: Post-break zone projection
Stats Dashboard: Real/fake counts visualization
🧠 Technical Architecture
This indicator is an AI-driven decision system designed to "see through the true nature of every wall."
K-Means Zone Detection: Collects high/low/close price points within lookback, applies volume weighting, then iterates Lloyd's algorithm (kIters passes) to optimize kClusters centroids. Only clusters above minDensity become zones.
Quantile Seeding: Initial centroids placed via quantiles for deterministic, well-spread initialization (more stable than random).
Zone Construction: Each centroid is bounded by ±zoneWidth × ATR and rendered as a box. Resistance/support classification dynamically based on relative position to current price.
7D Feature Extraction: ①Normalized density, ②distance from price (ATR units), ③volatility regime, ④RSI at formation, ⑤BB width, ⑥age, ⑦approach count.
KNN Fortress Classifier: Stores up to maxMemory labeled past samples ("held = 1.0" / "broken = 0.0"). New zones queried via Top-K neighbor search to compute probability scores.
Pending Learning: At break events, features and direction stored in pending arrays. After confirmBars, real outcomes (rejected or continued) determine the label, then added to memory.
Real vs Fake Threshold: Score ≥ realThresh = strong wall (green); ≤ fakeThresh = weak wall (orange); middle = neutral (gray).
Break Detection: Validated when price exceeds breakBuf × ATR with volume above volMult, triggering zone extension display.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC (4H): lookback=150, kClusters=6, refreshN=15, realThresh=0.60
ETH (1H): lookback=120, kClusters=5, refreshN=10, fakeThresh=0.40
SOL/XRP (15M): lookback=100, kClusters=5, refreshN=8, breakBuf=0.15
Long-Term (1D): lookback=300, kClusters=8, refreshN=20, minDensity=6
Parameter Tuning:
Too many zones: Reduce kClusters to 4, raise minDensity to 6
Too few zones: Expand lookback to 200, lower minDensity to 3
Choppy markets: Raise fakeThresh to 0.45 and breakBuf to 0.20
Strong trends: Lower realThresh to 0.50 for early genuine break capture
Faster learning: Shorten confirmBars to 3 (higher mislabel risk)
Conservative learning: Set confirmBars=10 for high-confidence labels only
💡 How to Use in Practice
Strong Wall Reversal: Counter-trade tags on green strong walls
True Breakout Follow: Break of a strong wall = high-conviction trend start
Weak Wall Trap Avoidance: Skip breaks on orange walls, prepare reversal entries
Double Wall Strategy: Consecutive strong walls form a fortress S/R cluster
Multi-Timeframe: Use 1D strong walls as precision entry zones on 1H
AetherEdge Combinations: Overlap with AI Trendline Architect's top-scored lines = elite zone
⚠️ Important Notes
KNN memory requires 30–50 initial samples for reliable scores
Memory and stats reset on indicator reload
Too-small refreshN causes flickering zone updates
Flash crashes or gaps can distort density measurements
K-Means operates on 1D price space — extreme outliers may bias clustering
🚨 Disclaimer
This indicator is provided for educational and research purposes only and does not constitute financial advice. AI classifications and probability scores are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
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AetherEdge AI Dynamic Trendline Architect🖊️ Overview
AetherEdge AI Dynamic Trendline Architect is a next-generation automatic trendline system powered by a four-layer AI architecture: pivot detection, KNN pattern memory, a neural quality network, and structural prior validation. Every candidate line is evaluated through machine learning, ensuring that only truly meaningful, high-quality lines are drawn and lifecycle-managed — delivering accuracy and practicality unreachable by conventional approaches.
🔶 Key Features
Pivot Engine: High-precision swing high/low detection with dynamic candidate pairing
5D Feature Extraction: Slope, duration, volatility ratio, RSI state, angle
KNN Pattern Memory: Stores up to 300 historical line patterns
Neural Quality Network: Online learning updates quality scores in real time
Structural Prior: Physical validation via touch counts and violations
Dynamic Hybrid Fusion: Mixes NN predictions with structural prior
Line Lifecycle Management: TTL, break detection, minimum score threshold
Break Detection: ATR-buffered to suppress false signals
Premium Visuals: Age fading, strength labels, support/resistance color coding
🧠 Technical Architecture
This indicator is a multi-layer decision system centered on AI-based line quality evaluation.
Pivot Engine: Detects swings via ta.pivothigh/low, maintaining up to 25 pivots per side. From each new pivot, candidate pairs are generated by scanning back scanBack pivots.
Feature Engineering: ①ATR-normalized slope, ②normalized duration, ③ATR-ratio volatility, ④RSI deviation, ⑤atan-based angle — all standardized to or .
KNN Pattern Memory: Up to maxMemory historical patterns with outcome labels. Each candidate undergoes Euclidean distance comparison in the 5D feature space; Top-K neighbors are weighted by inverse distance to produce a consensus score.
Neural Quality Network: An online neural net learns to predict line quality, updated via real outcomes (breaks, bounces) over nnEpochs.
Structural Prior: Physically verifies the line by counting actual touches and violations along its projection, computing touchScore + durationQuality − violationPenalty.
Hybrid Score Fusion: priorMix dynamically blends NN prediction with structural prior — only lines with consensus from both layers reach top-tier scoring.
Line Lifecycle: Only lines above minScore are drawn; ttlBars triggers auto-expiry; breaks exceeding breakBuf × ATR change color and are recorded.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC/ETH (4H–1D): pivLen=5, maxLines=6, ttlBars=80, minScore=0.55
SOL/XRP (1H): pivLen=4, maxLines=8, ttlBars=60, minScore=0.50
Scalping (5M–15M): pivLen=3, maxLines=4, ttlBars=40, knnK=3
Long Swing (1D): pivLen=8, maxLines=10, ttlBars=200, minScore=0.65
Parameter Tuning:
Too many lines: Raise minScore to 0.65–0.75 to display only premium lines
Too few lines: Increase scanBack to 6 and lower minScore to 0.45
Choppy markets: Raise breakBuf to 0.30 to avoid fake breaks
Quiet ranges: Set priorMix=0.6 for structure-favored detection
Trending markets: Set priorMix=0.3 to leverage NN learning
💡 How to Use in Practice
High-Score Line Reversal: Long at score ≥ 0.70 supports, short at resistances
Breakout Strategy: Color shifts (colBkU/colBkD) signal trend-following entries
S/R Flip: Capture the moment a broken resistance flips to support
Multi-Timeframe: Use 1D strong lines as zones for 1H precision entries
AetherEdge Combinations: Hybrid AI Bias bullish + high-score support bounce = elite long setup
⚠️ Important Notes
NN weights start from defaults; memory requires 50–100 events to mature
KNN memory and NN weights reset on indicator reload
Too-small pivLen creates noise; too-large delays detection
Excessive maxLines clutters the chart
Extreme gaps or flash crashes may trigger false break detection
🚨 Disclaimer
This indicator is provided for educational and research purposes only and does not constitute financial advice. AI predictions and line quality scores are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
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[3Commas] Silicon Vault Long - INTC DCA Strategy Silicon Vault Long — INTC DCA Strategy
🔷 What it does:
This strategy executes a long-only Dollar-Cost-Averaging approach on tokenized Intel (INTCUSDT) perpetuals, using an RSI-based exit gate to capture momentum-confirmed take-profits on overbought rebounds. It opens base orders continuously when no active deal exists, layers a structured 8-level safety order ladder during price drawdowns, and exits only when RSI crosses above the overbought threshold AND the position has accumulated the minimum profit target from the average entry. Calibrated for the volatility profile of tokenized semiconductor stocks, where structural bullish drift in mega-cap tech combines with intraday volatility unique to perpetual contracts on equity tokens.
- Base Order entry: nonstop — opens immediately when no active deal exists
- Safety Order ladder: 8 levels with cumulative deviation (step coef 1.22), all SOs equal size
- Exit: RSI(14) on 15m crosses above 70 AND profit ≥ 0.6% from average entry (dual-gate close)
- 2× leverage (isolated), no stop loss
🔷 Who is it for:
Traders looking to apply DCA logic to tokenized semiconductor / tech equity perpetuals.
Bot operators who automate execution through webhook integration with a DCA Bot.
Traders seeking exposure to mainstream tech stocks through perpetual contracts during structural bull phases.
Discretionary traders who want a signal framework with momentum-confirmed exits rather than fixed-percentage closes.
🔷 How does it work:
Long Entry: A base order opens whenever no active deal exists and the bar is confirmed within the configured window. There is no signal-based entry filter — the strategy reloads continuously, treating each new deal as a fresh DCA cycle. This is appropriate for instruments with sustained upward bias, as Intel's tokenized perpetual demonstrates during the reference period.
Short Entry: Not used — strategy is long-only by design.
Exit Management: The full position closes when two conditions align simultaneously — RSI(14, 15m) crosses above 70 (momentum-confirmed overbought signal) AND unrealized profit from average entry reaches the minimum threshold (default 0.6%). The dual gate prevents premature exits during shallow rebounds and prevents structural exits when profit is below threshold. The strategy carries no stop loss; invalidation is replaced by the depth of the safety order ladder (cumulative −8.88% from base across 8 levels) plus the underlying bullish drift assumption for tokenized equities.
🔷 Why it's unique:
Dual-gate exit logic — most DCA strategies use either a fixed-percentage TP or a signal-only exit. This combines them: the RSI signal acts as a momentum-confirmed exit trigger, but only fires when the position is also profitable above the minimum threshold. This filters out RSI-triggered exits that would close deep-averaged positions at a loss, ensuring every signaled close is both timing-confirmed and economically rational.
Semiconductor sector focus — calibrated for tokenized semiconductor stocks (Intel, AMD, NVDA proxies) where chip-cycle volatility creates the kind of intraday range that DCA bots monetize through structured averaging. Intel's specific volatility profile of 2025–2026 produced an ideal regime for this framework.
Bot Integration — entry and exit alerts ship with webhook-ready JSON payloads. Bot ID, Email Token, and pair label are exposed as inputs and automatically embedded into the alert message format.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Designed for a 15-minute chart on tokenized equity perpetuals with active intraday range. Best suited to mega-cap tech instruments with sustained bullish drift and regular pullback structure (Intel, AMD, MSFT, GOOGL, NVDA proxies). Less suited for sustained downtrends or instruments without structural upside bias — tokenized stocks have an embedded long-term upward expectation that crypto-native pairs do not always share.
Limitations: The strategy carries no stop loss. In sustained downtrends extending beyond the deepest safety order (−8.88% from base), the position holds unrealized loss until either the average is recovered through subsequent bounces or the deal is manually closed. The structural assumption is that the underlying tokenized equity will mean-revert upward over time due to its embedded bullish drift. If this assumption breaks (e.g., during a sustained semiconductor sector bear cycle), the strategy is materially exposed.
Backtesting & Demo Testing: The reference results were generated on Bitget USDT-M Perpetual Futures for INTCUSDT during a strong bullish phase for Intel stock (Jan 2025 — Mar 2026, 437 days). Performance during different equity market regimes (chip cycle downturns, broad tech corrections, rangebound periods) may differ significantly. Always validate on extended history and re-test across multiple instruments before deploying real capital. Demo-trade for at least one month before live deployment. Past performance is not indicative of future results.
Parameter Adjustments: Commission defaults to 0.06% (Bitget USDT-M taker). Adjust for your venue. Leverage is set to 2× isolated — increase or decrease per your risk tolerance. RSI threshold (70) and the minimum profit gate (0.6%) should be tuned per instrument volatility — tighter thresholds for lower-volatility tokenized stocks, wider for high-beta semiconductor tickers. SO step (0.5%) and step coefficient (1.22) define ladder depth; widen the step for instruments with bigger intraday swings.
🔷 STRATEGY PROPERTIES
Symbol: BITGET:INTCUSDT.P (Intel Corp tokenized perpetual on Bitget). Strategy is generic — works on any tokenized equity perpetual.
Timeframe: 15m chart.
Test Period: Jan 2025 — May 17, 2026.
Initial Capital: 500 USDT.
Order Size per Trade: Base Order 11.25 USDT, Safety Orders 7.5 USDT each (×8 = 60 USDT). Maximum cumulative position notional ≈ 71.25 USDT per deal. With 2× isolated leverage, margin requirement ≈ 35.6 USDT.
Commission: 0.06% taker (Bitget USDT-M Perpetual reference). Adjust per venue.
Slippage: 2 ticks — typical taker execution on liquid perpetuals.
Margin for Long and Short Positions: 50% (2× isolated leverage).
Indicator Settings: Default Configuration.
Base Order Volume: 11.25 USDT
Safety Order Volume: 7.5 USDT
Max Safety Orders: 8
Price Step (1st SO): 0.5%
Step Coefficient: 1.22
Volume Coefficient: 1.0
RSI Length: 14
RSI Threshold: 70
RSI Timeframe: 15m
Min Profit: 0.6% from average entry
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +55.96 USDT (+11.19%)
Max Drawdown: 16.75 USDT (3.13%)
Total Closed Trades: 320
Percent Profitable: 88.75% (284 / 320)
Profit Factor: 23.701
Reference TradingView Pine backtest on BITGET:INTCUSDT.P (15m chart) for the available history window Jan 1 2025 — May 17 2026 (252 days). The exceptional win rate (88.75%) and Profit Factor (23.701) reflect the structurally bullish phase for Intel stock during the test window combined with the strategy's deep safety order ladder that absorbs intraday pullbacks. These metrics are regime-dependent and not expected to persist through semiconductor sector downturns or sustained bear cycles. Re-test on your own venue with venue-specific commission before live deployment.
🔷 How to Use It:
🔸 Adjust Settings: Set Base Order and Safety Order volumes proportional to your account size and risk tolerance. The default 11.25 / 7.5-USDT structure is calibrated for a 500-USDT test account with 2× leverage; scale linearly to your equity. RSI threshold can be tightened to 65 for more frequent exits or widened to 75 for fewer, larger captures. The SO step should be widened on instruments with higher intraday volatility.
🔸 Results Review: Verify Maximum Drawdown stays within your personal risk budget. The strategy is configured for a conservative per-deal risk envelope (max position 71.25 USDT, full ladder coverage at −8.88% from base), but extended history may shift this profile. Re-test on your own venue using venue-specific commission and slippage. The strategy's performance on the tested window is regime-dependent — performance during semiconductor sector downturns has not been validated. Demo-trade for at least one month before any live deployment.
🔸 Create alerts to trigger the DCA Bot: Two alert messages are exposed by the strategy — "Deal Start" fires on each new base order, and "Deal Close" fires when the dual-gate exit triggers. Configure both alerts in TradingView with the webhook URL pointing to your DCA Bot's signal endpoint. Once configured, the strategy publishes the signal and the bot handles execution on the exchange autonomously.
🔷 INDICATOR SETTINGS
Base Order Volume (USDT) — Notional value of the initial entry per cycle.
Safety Order Volume (USDT) — Notional value of each averaging-down order; all SOs equal size by default.
Max Safety Orders — Total number of averaging steps available per deal.
Price Step % (1st SO from base) — Percentage deviation from base price for the first safety order.
Martingale Step Coefficient — Multiplier applied to each successive deviation step.
Martingale Volume Coefficient — Size multiplier applied to each successive safety order (default 1.0 = all equal).
Require RSI cross-above for close — Toggle the dual-gate exit; off makes it pure %-profit close.
RSI Length / Threshold / Timeframe — Parameters for the exit RSI signal.
Min Profit % (from avg entry) — Minimum unrealized profit threshold required for the exit gate.
Limit by Date Range — Constrain backtest to a specific date window.
Stats card / Watermark — Display layer controls for on-chart backtest summary and branding.
Webhook — Bot ID, Email Token, and Pair label for DCA Bot signal routing.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. 策略
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RBD Confluence ZonesConfluence Zones highlights areas on the chart where multiple key support/resistance levels stack within a tight range — places where multiple timeframes "agree." These zones tend to act as stronger S/R than any single level alone.
How it works
Each bar the indicator calculates a set of important price levels and groups any that fall within a user-defined proximity threshold (ATR-based by default). Groups of 2 or more levels are drawn as colored zones:
- Cyan = 2 levels (light confluence)
- Magenta = 3 levels (medium confluence)
- Yellow = 4+ levels (strong confluence, rare)
Levels included (each toggleable)
- Weekly Pivot Points: P, R1, R2, S1, S2 (+ optional R3/S3)
- Monthly Pivot Points: P, R1, R2, S1, S2 (+ optional R3/S3)
- Previous Week High / Low
- Previous Month High / Low
- Previous Day High / Low
- Previous Weekly Market Profile VAH / VAL (TPO method, 20 bins, 70% VA)
Key inputs
- Proximity Mode: ATR / Percent of Price / Ticks
- ATR Multiplier (default 0.5): how close levels must be to cluster
- Min Levels per Zone (default 2)
- Value Area % for the Weekly Market Profile (default 70%)
- Border width, label size, colors, lookback all customizable
Reading the chart
- Plain dotted lines: individual levels that did not cluster
- Colored boxes: confluence zones, labeled with what is inside (e.g. "PMH + WVAL + MR1 x3")
- The "xN" count tells you how many levels formed the zone — higher = higher-probability reaction area
Tips
- Default ATR threshold (0.5) works well across most assets/timeframes
- Increase the multiplier for wider clusters, decrease for tighter
- Match the label content to your bias: heavier-timeframe levels (monthly, prev H/L) carry more weight than weekly pivots alone
Credits
The Weekly Market Profile (VAH/VAL) TPO logic is derived from the RBD Market Profile indicator — 20-bin TPO, expanding from POC to cover the chosen Value Area percentage. Standard pivot formulas are Classic Floor.
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ORB + FVG Long Only🎯 TL;DR
Opening Range Breakout for NQ futures, long-only. Marks the first 15
minutes after NY open, then signals a BUY when price breaks above that
range during the morning Power Hour — but only if 6 smart filters
confirm the conditions are right. Auto-draws your full trade plan
(Entry, Stop, TP1, TP2) the moment a signal fires.
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🟢 SUPER SIMPLE — How To Use This
1. Watch your chart during 9:30–11:00 AM EST.
2. Wait for a GREEN TRIANGLE 🔺 with a "🚀 BUY 🚀" label.
3. When you see it:
• BUY at the black line (Entry)
• Stop loss at the RED line
• Take Profit 1 at the GREEN line
• Take Profit 2 at the LIME line
4. Walk away. The lines are drawn for you.
No triangle = no trade. The indicator checks everything for you —
you just execute what it draws.
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📊 OPENING RANGE BREAKOUT + FAIR VALUE GAPS
Long-Only · Built for NQ/MNQ futures · NY session
🟢 WHAT IT DOES
This indicator combines the classic Opening Range Breakout setup with
ICT Fair Value Gap detection and a stack of smart filters designed to
skip low-quality, choppy days. When a clean bullish breakout fires, it
auto-plots a complete trade plan — Entry, Stop Loss, and two Take
Profit targets — with R-multiples and dollar values, right on your
chart.
📋 HOW IT WORKS
1. Marks the High and Low of the first 15 minutes after NY open
(9:30–9:45 AM EST) — the "Opening Range"
2. Watches for a breakout above the OR High during the morning
Power Hour window (9:30–11:00 AM EST)
3. Confirms the breakout against 6 smart filters
4. Fires a single, clear BUY signal with an alert
5. Auto-draws the trade plan: Entry / SL / TP1 / TP2
🔍 6 SMART FILTERS
✅ Bullish daily bias — price above today's open
✅ 20-EMA uptrend — daily trend confirmation
✅ Trend-day filter — yesterday closed strong
✅ Power Hour window — restricts signals to the highest-quality hours
✅ Loss streak protection — pauses after consecutive weak days
✅ Volume confirmation (optional) — breakout backed by real volume
✅ FVG confluence (optional) — require a fresh bullish Fair Value Gap
📈 AUTO-PLOTTED TRADE PLAN
When a BUY fires, the indicator instantly draws:
• Entry line (black)
• Stop Loss (red) — configurable: OR Low / OR Midpoint / ATR-based
• TP1 (green) — default 2R
• TP2 (lime) — default 4R
• Labels showing prices AND dollar amounts
Lines auto-cap at 4 PM EST so they never bleed into the next day.
🎛️ FAIR VALUE GAPS
• Detects bullish and bearish 3-candle imbalances
• Drawn as clean translucent boxes
• Close-based mitigation — gaps are removed once price closes through
them (stricter, more accurate than wick-touch)
• Optional: require a recent bullish FVG before a BUY can fire
🕐 OPENING RANGE VISUALIZATION
• OR box over the 9:30–9:45 window
• OR High / Low / Midpoint lines extend through the session
• Price labels on the right edge
📊 FILTER STATUS DASHBOARD
A compact panel shows each filter's live status (✓ / ✗) and an
overall READY 🟢 / 🔴 light — so you can see at a glance how close
the setup is to triggering.
📱 ALERTS
Built-in alert fires on every BUY signal — works with TradingView's
push notification system for phone alerts. Custom message includes
ticker, breakout price, and entry.
⚙️ FULLY CONFIGURABLE
• Opening Range window time
• Trade window (Power Hour) time
• Every filter individually toggleable
• R-multiples for TP1 / TP2
• Stop loss placement method
• Line extension length
• Label sizes (tiny → huge)
• Zen Mode — hides all context, shows only the signal + trade plan
🛡️ ANTI-REPAINT
Signals confirm on bar close — what you see is final. No flickering,
no after-the-fact repainting.
⚠️ DISCLAIMER
This indicator is for educational and informational purposes only.
It is not financial advice. Trading futures involves substantial risk
of loss and is not suitable for everyone. Always practice on a demo
account before risking real capital. The author is not responsible
for any trading losses incurred using this tool.
🚀 INITIAL RELEASE — v1.0
Features:
• Opening Range Breakout detection (configurable window)
• 6-filter confluence system for high-quality entries
• Auto-plotted trade plan — Entry / SL / TP1 / TP2 with R-multiples
and dollar values
• Fair Value Gap detection with close-based mitigation
• Optional FVG confluence requirement for entries
• Optional volume confirmation filter
• Filter status dashboard with READY light
• Configurable stop placement (OR Low / OR Midpoint / ATR)
• Lines auto-cap at 4 PM EST — no overflow into the next day
• Anti-repaint — signals confirm on bar close
• Zen Mode for clean, distraction-free execution
• Comma-formatted price labels, adjustable label sizes
• Built-in alerts compatible with mobile push notifications
Notes:
• Long-only by design
• Built and tuned for NQ/MNQ — works on other liquid instruments
• Default trade window is the morning Power Hour (9:30–11:00 EST)
• Always forward-test on a demo account before going live
指標
Tri-Vector Flow Predictor Tri-Vector Flow Predictor v3.2 is an adaptive directional trading indicator designed to help traders read the next probable price movement with clean visuals and structured signal logic.
This tool combines trend, volatility, market structure, liquidity sweeps, Fair Value Gap impulses, compression breakouts, volume pressure, regression quality, and multi-timeframe confirmation into one visual decision-support engine.
The goal is not to predict the future with certainty. The goal is to organize multiple important market conditions into one clean framework so traders can better understand when price may continue, reverse, expand, or lose momentum.
What the indicator includes:
* Adaptive fused trend core
* Value cloud around fair price
* Pulse rail for trend and invalidation structure
* Long and short entry signals
* Long and short exit signals
* One-entry / one-exit trade state logic
* Liquidity sweep detection
* Structure break and retest logic
* Fair Value Gap impulse detection
* Multi-timeframe trend agreement
* Regression-based forecast quality
* Next-move prediction cone
* Risk / reward projection with entry, invalidation, TP1, and TP2
* Clean dashboard showing bias, trigger, prediction, regime, scores, MTF stack, and regression quality
How to use it:
Use the LONG and SHORT labels as the main directional signal markers. The signal is not based on one condition only. It requires trigger logic, score confirmation, filtering, and directional dominance.
The EXIT L and EXIT S labels show the internal exit logic for the active virtual trade state. Exits can occur from an opposite signal, invalidation hit, TP2, or confidence loss.
The prediction cone is a probabilistic visual guide. It shows where price may move next based on the current flow vector, volatility, score dominance, trend pressure, MTF context, and regression quality. It should not be treated as a guaranteed target.
The Pulse Rail can be used as an adaptive structure line. When price holds above it, bullish structure is stronger. When price holds below it, bearish structure is stronger.
The Value Cloud helps identify whether price is near fair value or extended. Signals near value are usually cleaner. Signals very far from value can be late unless strong impulse conditions are present.
Recommended settings:
For scalping:
Use Fast mode with Clean or Minimal visuals.
For day trading:
Use Balanced mode with MTF Stack enabled.
For swing trading:
Use Precision mode with MTF Stack enabled.
For screenshots and deeper analysis:
Use Full visual density.
Honest limitations:
This indicator does not know the future. It cannot guarantee the next price movement. It can produce losing signals during chop, news events, low liquidity, fakeouts, abnormal spreads, and sudden volatility shocks.
The prediction cone is an estimation, not a promise.
This tool is best used as a confluence engine together with market structure, higher-timeframe direction, liquidity zones, and proper risk management.
For safer behavior, keep Confirm Signals On Candle Close enabled.
Honest Opinion / Carefully Read
Tri-Vector Flow Predictor v3.2 is designed as a clean decision-support engine, not a perfect signal system.
Its strongest feature is the one-entry / one-exit trade state. Instead of spamming repeated labels, it shows a clearer flow: LONG entry, LONG exit, SHORT entry, and SHORT exit.
The indicator combines trend, volatility, structure, liquidity sweeps, FVG impulses, retests, volume pressure, regression quality, and MTF agreement to estimate the probable next move.
The prediction cone is only a probabilistic guide. It is not a guaranteed future price path. Price can still move against the forecast during chop, news, fakeouts, low liquidity, or sudden volatility.
This tool is best used as confluence with market structure, higher-timeframe direction, liquidity zones, and proper risk management.
Use it as a trading assistant, not as financial advice.
指標
Liquidity Magnet [FEELS]A scoring engine for liquidity zones. Every active pool (swing high,
swing low, or equal-level cluster) gets ranked by probability of being
reached. The highest-probability zone is marked as the top magnet —
the single most likely target right now.
OVERVIEW
Liquidity Magnet is a composite probability scoring system for liquidity zones —
the price levels where resting orders cluster around swing highs, swing lows,
and equal levels. The script ranks every active zone by likelihood of being
reached by price and highlights the single most probable target as the
"top magnet". This is a probabilistic analysis tool, not a predictive signal
generator.
WHAT MAKES IT ORIGINAL
Most existing liquidity tools simply plot pivots or equal highs/lows as static
lines. This script does three things differently:
1. Probability ranking, not binary detection.
Each zone receives a composite score from four independent factors and is
converted into a percentage probability relative to all other active zones.
The result is a relative ranking instead of an undifferentiated list of
levels.
2. Logarithmic distance filtering with timeframe auto-scaling.
Distance to price is measured in log space, which makes the filter
symmetric across price decades. A pool 50% below price has the same
"distance weight" as a pool 50% above. The acceptable distance range
also auto-adjusts to the chart timeframe — weekly charts use a wider
range than 1-minute charts.
3. Transparent track record.
When the top magnet changes, the previous one is recorded and its outcome
tracked over a configurable window. Each historical magnet is marked as
"touched" (price reached it) or "expired" (window passed without reaching).
The dashboard shows the rolling touch rate so users can evaluate the
scoring behavior on the instrument and timeframe they actually trade.
HOW IT WORKS
Liquidity zone detection
The script identifies confirmed swing highs and swing lows using a
configurable pivot lookback. Pivots in the same direction that fall within
a tolerance band are merged into a single "equal liquidity" zone. The
tolerance band auto-scales to timeframe (wider on higher timeframes where
each bar covers more range, narrower on intraday).
Composite probability score
Every active zone receives a raw score combining four weighted components:
- Strength : volume at the pivot bar normalized against a 50-bar volume SMA,
multiplied by a clustering bonus if the zone was formed by merged pivots.
- Proximity : an inverted-U curve over the logarithmic distance to price,
peaking around 2% from current price and decaying symmetrically in both
directions.
- Age : a maturity curve. Very fresh zones are discounted (the market has
not had time to confirm them), mature zones get full weight, and very
old zones decay gradually.
- Momentum : a directional alignment factor. If short-term EMA momentum
points toward a zone, that zone's score is boosted; if momentum points
away, the score is reduced.
All zone scores are then divided by their sum to produce a probability
percentage. The highest-percentage zone is the top magnet.
Magnet Pull direction
The dashboard's Magnet Pull metric reports the direction toward the top
magnet (bullish if the top zone is above price, bearish if below), weighted
by the share of total score on that side. This is a direction indicator,
not a momentum signal.
Pruning
Zones are removed when one of three things happens: price reaches the zone
(swept), the zone exceeds the maximum age in bars, or the zone moves outside
the log-distance filter as price evolves.
HOW TO USE IT
The intended workflow is contextual, not signal-based:
1. Open the chart on your trading timeframe. Auto-scale picks reasonable
defaults for clustering tolerance and distance filter; both can be
overridden manually.
2. Read the dashboard. The top target price and probability give you the
single most likely magnet. The Magnet Pull and Pull Intensity describe
directional bias. The proximity progress bar shows how close price
currently is to the top magnet in log space.
3. Use Top 3 targets for alternatives. The probability gap between rank 1
and ranks 2-3 tells you how dominant the top magnet is. A 40% / 38% /
22% spread is much less decisive than a 60% / 25% / 15% spread.
4. Enable Historical Track to evaluate behavior. Past top magnets are
marked with their outcome on the chart. The rolling Historical Touch %
in the dashboard summarizes the script's recent behavior on the current
instrument and timeframe. This is observational data, not a guarantee.
5. Treat outputs as context, not signals. The script highlights where
liquidity is concentrated and which target the composite model considers
most probable. Trade entries, stop placement, and position sizing remain
the user's responsibility.
PARAMETERS
Pivot Lookback — bars on each side used to confirm a swing point. Higher
values produce fewer but more significant zones.
Equal H/L Tolerance % — clustering threshold. Pivots within this percentage
in the same direction merge into a single zone. Auto-scaled by default.
Log-Distance — maximum allowed distance in log space between price and any
active zone. Auto-scaled by default. Symmetric: covers both above and below
price.
Weight inputs (Strength, Proximity, Age, Momentum) — relative influence of
each scoring component. Default values are calibrated for crypto and equity
intraday/swing usage. Adjusting weights changes the character of the ranking.
Tracking Window (bars) — how long a former top magnet stays "pending" before
being marked as expired.
UI Sizing controls — dashboard position, dashboard text size, zone label
sizes, magnet marker size, historical marker size, all independently
adjustable for personal screen and screenshot preferences.
QUICK START
1. Add the script to any chart
2. Auto-scale handles parameters automatically
3. Look at "Top Target" in the dashboard — that's the most likely magnet
4. Look at "Magnet Pull" — that's the directional bias
5. Turn on "Show Historical Top Magnets" to see past behavior
No setup required. All defaults are calibrated.
TESTED ACROSS
Verified visually on multiple instruments and timeframes:
- Cryptocurrency: BTCUSD, ETHUSD, SOLUSD on 1H to 1W
- Equity indices: NQ, ES on 4H to 1D
- Forex majors: EURUSD, GBPUSD on 1H to 1D
- Commodities: Gold (XAUUSD), Crude Oil on 1D
Auto-scale parameters cover all these instruments and timeframes without
manual tuning. Manual override is available for specific instrument behavior.
NOTES AND LIMITATIONS
- The script is non-repainting on confirmed bars. Pivot detection uses a
fixed forward lookback, which means zones appear after the pivot is
confirmed (lookback bars after the high/low), not in real-time at the
exact bar of the high/low. This is intentional.
- Probability percentages are relative weights inside the active zone set,
not absolute statistical probabilities. They describe the composite
model's ranking, not a calibrated forecast.
- The Historical Touch % is a descriptive statistic over a rolling window.
It reflects observed behavior and does not project future performance.
- Bar Replay is supported: scoring updates on every confirmed bar and
historical markers are placed at the recorded positions, so the chart
behaves consistently when scrubbing through history.
- The script does not generate buy/sell signals. There is no entry/exit
logic, no stop/target output, and no strategy() conversion. It is a
visual analysis tool.
This script is original work. The composite scoring formula, the log-distance
filtering approach, the pool merging algorithm, the directional Magnet Pull
metric, and the historical tracking logic are all custom implementations
written specifically for this script. 指標
指標
Key Levels: PDH/PDL + ONH/ONL + PWH/PWL + PMH/PMLA clean, no-repaint indicator that plots the most important reference levels traders watch every session — anchored exactly at the candle that made each high or low, with right-side labels showing the price.
Levels included:
PDH / PDL — Previous Day High & Low, calculated strictly from your chosen Regular Trading Hours session (default 0930-1600 ET), so overnight wicks don't contaminate the levels
PDC — Previous Day Close (optional), anchored at the actual 4:00 PM RTH close
ONH / ONL — Overnight High & Low, with a fully customizable session window (default 2000-0400 ET, ending before pre-market). The lines paint live during the overnight session, expanding as new highs/lows print, then freeze in place when the session ends
PWH / PWL — Previous Week High & Low
PMH / PML — Previous Month High & Low
Features:
Per-level toggles, colors, line widths (1–5), styles (solid / dashed / dotted), and transparency
Each line is anchored at the actual wick that created the high or low — no floating horizontals
Only one set of lines on the chart at any time — clean and uncluttered
Right-side labels with the level name and exact price
Configurable session timezone (defaults to America/New_York)
Adjustable right-extension distance
Uses time-based anchoring, so it works on every timeframe from 1-minute up to daily without bar-limit errors
No repainting — previous-period values freeze the moment a new period begins 指標
