Stage 2 Trend Qualifier 8-Criteria Trend Template with RS scoreA compact on-chart dashboard that evaluates whether a stock qualifies as a Stage 2 uptrend using an 8-criteria trend template based on moving average alignment and price position relative to key benchmarks. Includes relative strength scoring, outperformance day tracking, and RS line analysis.
█ WHAT IT DOES
This indicator runs 8 mechanical checks on every bar and displays pass/fail status in a clean overlay table:
1. Price above 150-day SMA
2. Price above 200-day SMA
3. 50-day SMA above 150-day SMA
4. 50-day SMA above 200-day SMA
5. 200-day SMA trending up for at least 1 month
6. Price at least 25% above its 52-week low
7. Price within 25% of its 52-week high
8. Price not more than 10% below the 50-day SMA
When all 8 pass → STAGE 2 (confirmed uptrend). Otherwise the indicator classifies the stock as Stage 1 (basing), Stage 3 (topping), or Stage 4 (decline) based on moving average relationships.
█ RS SCORE (1–99)
Relative strength versus a user-selected benchmark (default: SPY) displayed as a normalized score from 1 to 99 across four timeframes: 1M, 3M, 6M, and 12M.
50 = matching the benchmark. Above 50 = outperforming. Below 50 = underperforming. Each timeframe uses a calibrated scale so scores are comparable across periods.
Color coding:
≥80 → bright green (strong leader)
60–79 → green (outperformer)
40–59 → gray (average)
<40 → red (laggard)
█ RS DAYS
Counts how many trading days the stock outperformed the benchmark over rolling windows of 15, 30, and 60 days. Displayed as: count (win-rate%). For example, "9 (60%)" means the stock beat the benchmark on 9 out of 15 days.
A high RS Score with a low RS Days % means the stock had a few big winning days but isn't consistently leading — less reliable strength. Consistent outperformance (>60%) across all windows is the strongest signal.
█ RS LINE STATUS
Evaluates the relative strength line (stock price ÷ benchmark price) versus its own 52-week high:
NEW HIGH → RS line at its 52-week peak. Strongest relative performance in a year. Often leads price breakouts.
NEAR HIGH → Within 3% of 52-week high. Relative strength building toward leadership.
NEUTRAL → 3–15% below 52-week high. Average relative performance, no clear edge.
WEAK → More than 15% below 52-week high. Relative strength deteriorating. Market rotating away.
█ ALERTS
Three built-in alert conditions:
- Stage 2 Qualified — stock transitions from <8/8 to 8/8 criteria met
- Stage 2 Lost — stock drops from 8/8 to fewer criteria met
- RS Line New High — relative strength line hits a new 52-week high
█ SETTINGS
- Toggle sections: Trend Template, RS Score & Days (on/off independently)
- Table position: any corner or middle edge
- Text size: tiny, small, normal
- Theme: Dark or Light (match your chart background)
- Benchmark symbol: default SPY, changeable to any index or ETF
█ USAGE NOTES
- Designed for the DAILY timeframe. On intraday or weekly charts, the bar-based lookbacks (252 bars for 52-week, 21 bars for 1 month) represent chart bars, not calendar days.
- Stage 2 identification is mechanically precise — all 8 criteria must pass. Stages 1, 3, and 4 use approximate moving average relationship logic.
- RS Score normalizes relative performance to a 1–99 scale. This is NOT a percentile rank across a stock universe — it measures magnitude of outperformance vs your selected benchmark.
- This indicator is an educational and analytical tool. It does not generate buy or sell signals. Indicator
AG Pro Premium Discount Zone Engine [AGPro Series]AG Pro Premium Discount Zone Engine
Overview / What it does
AG Pro Premium Discount Zone Engine is a dealing-range and retracement context overlay built to map relative value inside a selected swing. Instead of treating price as a sequence of isolated candles, the script frames current price location against an active high-low range and highlights where price is trading relative to equilibrium, premium, discount, and the OTE area.
The core purpose of this tool is organizational. It is designed to help traders read where price is positioned inside a live swing and how price reacts when it moves into higher-value or lower-value retracement zones. This is especially useful when a chart is moving inside a pullback, when trend continuation is being evaluated, or when users want to distinguish between shallow retracements and deeper repricing within an existing range.
The script supports multiple ways to define the active range. Users can work with an automatically detected swing, a higher-timeframe dealing range, or a manual-lite anchor mode based on bar offsets. Once a valid range is identified, the script projects premium and discount territory, marks the 50% equilibrium, and highlights the OTE area using the 61.8, 70.5, and 78.6 retracement levels.
The output is intentionally visual, structured, and restrained. Premium and discount zones are shown as clean value blocks. The OTE area is treated as the main focus zone rather than a minor detail. The panel summarizes the active bias, current location, zone state, equilibrium level, and OTE boundaries so that users can read the chart quickly without relying on aggressive signal language.
Unique Edge
What makes this script different is that it is not built as a market-structure detector, imbalance mapper, liquidity event scanner, or order-block locator. Its job is narrower and more specific: it organizes relative price location inside a defined dealing range.
That distinction matters. Many overlays attempt to explain everything on the chart at once. This script does not. It does not try to label breaks of structure, detect fair value gaps, mark liquidity sweeps, or classify institutional zones. Instead, it answers a more focused question: where is price trading inside the current swing, and how is it behaving as it enters or leaves important retracement territory?
This also separates the script from other AG Pro tools. Some AG Pro overlays are built around structure transitions, some around imbalance behavior, some around reaction quality, and some around event detection. AG Pro Premium Discount Zone Engine is built around valuation context. It does not compete with those tools directly. It complements them by adding a relative-value map around a selected range.
Another difference is the zone-state logic. The script does not stop at drawing premium and discount blocks. It also tracks how price interacts with the OTE area and classifies that interaction using a simple state model such as Fresh, First tap, Retested, Rejected, Accepted, and Invalidated. This creates a more contextual read than a static retracement overlay.
Methodology
The script begins by identifying an active swing range. In Auto Swing mode, it uses pivot-based range detection. In HTF Swing mode, it builds the range from a higher-timeframe high-low window. In Manual-Lite Swing mode, it uses bar-offset anchors to let the user define a practical swing reference without requiring manual drawing tools.
Once the active range is available, the script calculates the internal value map:
- Swing High
- Swing Low
- 50% Equilibrium
- Premium territory above equilibrium
- Discount territory below equilibrium
- OTE zone using 61.8, 70.5, and 78.6 retracement levels
The script then monitors how price behaves around those levels. This produces context states rather than directional promises. For example, price entering the OTE area is not treated the same as price rejecting from it, accepting beyond it, or invalidating the active range. These are intentionally different events because they describe different chart conditions.
The equilibrium level is included as a centerline reference, while the OTE band is given stronger visual emphasis. This helps distinguish broad valuation territory from the narrower retracement pocket that many users monitor more closely.
Signals & Alerts
The signals in this script are event-based and deterministic. They are not designed as standalone trade instructions. They are designed to describe interaction with the active range.
Available event logic includes:
- OTE Test
- OTE Reject
- OTE Accept
- Discount Reaction
- Premium Rejection
- Equilibrium Cross
- Range Invalidated
- OTE Failure
These events are intended to provide chart context. For example, an OTE Test simply means price entered the active OTE zone. A Premium Rejection means price traded into the premium side and closed back below the local premium threshold used by the script. A Discount Reaction means price interacted with the discount side and responded upward under the script's rules. These are context events, not guarantees of continuation.
Alerts follow the same philosophy. They are defined in a rules-based way so users can monitor range interaction without needing to watch the chart continuously. The alert layer is most useful when the script is used as a location filter inside a broader workflow.
Key Inputs
Swing mode
Lets the user choose between Auto Swing, HTF Swing, and Manual-Lite Swing depending on whether the goal is reactive automation, higher-timeframe framing, or a more controlled local range definition.
Auto pivot length
Controls how sensitive the pivot-based swing detection is in Auto mode.
HTF timeframe and HTF lookback
Used to define the broader dealing range in higher-timeframe mode.
Manual high bars back / manual low bars back
Used to create a manual-lite range by referencing earlier bars as anchors.
Render bars back / render bars forward
Controls how far the active range projection extends on the chart.
Zone opacity and theme
Used to refine the visual balance between premium, discount, and OTE areas.
Label controls
Used to reduce visual noise by controlling label cooldown, label render window, and maximum visible labels.
Panel controls
Allow the user to reposition the panel and adjust its text size to fit different chart layouts.
Limitations & Transparency
This script does not predict direction. It does not forecast reversals. It does not decide whether a chart should trend, break, or fail. It maps relative value inside a selected range and reports interaction events inside that framework.
The quality of the output depends on the quality of the active swing. If the selected or detected range is not meaningful for the user's workflow, the valuation map will also be less meaningful. This is especially important in highly compressed, extremely noisy, or structurally unclear conditions.
Auto Swing mode is practical, but like any automated swing model, it depends on pivot confirmation and may update as newer pivots become available. HTF mode provides broader context but may feel less reactive on smaller charts. Manual-Lite mode gives more control but still depends on the user choosing sensible anchor distances.
OTE logic is range-relative. It does not incorporate unrelated concepts such as order blocks, liquidity pools, fair value gaps, session models, or external structure classifications unless the user combines those ideas manually in a separate workflow.
This script is best understood as a valuation-context overlay. It is not a complete strategy, not a full decision engine, and not a substitute for risk management.
How this differs from other AG Pro scripts
AG Pro Premium Discount Zone Engine is intentionally not a structure-break tool, not a CHoCH/BOS detector, not a liquidity sweep scanner, not an FVG engine, and not an order-block mapper.
Its role inside the AG Pro family is to answer a different question:
Where is price trading inside the active dealing range, and what is the quality of its interaction with that value map?
That makes it particularly useful for users who already understand direction from another process and want cleaner execution context. In other words, some tools focus on structural change, some focus on imbalance, and some focus on reaction events. This one focuses on valuation location.
Risk Disclosure
This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or guaranteed trade signals. Any use of this tool should be combined with independent analysis, risk controls, position management, and market-specific judgment.
The presence of an alert, label, premium zone, discount zone, or OTE interaction does not imply that price must react in a specific way. Markets can continue, reverse, compress, or invalidate a range without warning. Users should treat this script as a context tool, not as a promise of outcome.
Indicator
AG Pro Liquidity Sweep Quality [AGPro Series]AG Pro Liquidity Sweep Quality
OVERVIEW / WHAT IT DOES
AG Pro Liquidity Sweep Quality is a pivot-based overlay designed to map bullish and bearish liquidity sweep events around confirmed swing highs and swing lows. Instead of only flagging whether price traded beyond a prior level, the script evaluates whether that move behaved like a meaningful rejection or a weak sweep. The result is a structured liquidity sweep indicator that focuses on sweep quality, not only sweep detection.
In practical terms, the script looks for price moving above a prior swing high or below a prior swing low and then closing back through that level on the same bar or, if enabled, on the next bar. This behavior is commonly associated with stop hunts, failed breakout attempts, failed breakdown attempts, and short-term rejection events around visible liquidity. The script then ranks the event using a multi-factor quality model so the chart does not treat every sweep as equally important.
This makes the tool relevant for traders studying liquidity sweep behavior, smart money concepts, ICT-style chart reading, rejection anatomy, wick-driven reversals, sweep confirmation, and swing-based context. It is not built to predict direction on its own. It is built to organize sweep events so users can distinguish weaker noise from stronger rejection structures.
UNIQUE EDGE
The main objective of this script is not to publish another generic liquidity grab marker. Its edge comes from the fact that it scores each confirmed sweep using a quality framework. That framework combines how deeply price traded through the level, how decisively it closed back beyond the level, the wick-to-body relationship of the sweep bar, relative volume behavior, swing freshness, nearby swing crowding, and optional higher-timeframe bias alignment.
This matters because many sweep-style tools stop at a binary answer:
sweep happened / sweep did not happen.
This script asks a more useful follow-up question:
how good was that sweep?
That distinction is important on real charts. Some liquidity sweeps show strong rejection, clean close-back behavior, fresh structure, and supportive context. Others are simply noisy level violations inside a crowded area. By assigning a quality score, the script is designed to help users compare sweep events with more nuance.
Another distinguishing feature is that the script separates watch conditions from qualified conditions. A level can first be challenged, then either reclaim cleanly or fail to reclaim. This helps reduce the tendency to treat every level breach as a reversal event.
METHODOLOGY
1) SWING DETECTION
The script uses confirmed pivot highs and confirmed pivot lows as its structural reference points. These pivots are not assumed in advance. They become available only after the user-defined Pivot Strength confirmation process is complete.
2) SWEEP TRIGGER
A bearish sweep scenario begins when price trades above a stored swing high.
A bullish sweep scenario begins when price trades below a stored swing low.
3) QUALIFICATION
A sweep is considered qualified when price closes back through the swept level. By default, the script can evaluate same-bar reclaim behavior and, optionally, next-bar reclaim behavior.
4) QUALITY MODEL
Each qualified sweep is scored using multiple factors, including:
- penetration relative to ATR
- rejection distance back through the level
- wick-to-body ratio
- relative volume versus a recent baseline
- freshness of the swing level
- nearby level crowding penalty
- optional higher-timeframe trend alignment bonus
The final output is normalized into a simple 1 to 10 quality score so chart reading remains fast and visually clean.
5) VISUAL MAPPING
Qualified sweeps can display:
- direction label
- quality score label
- sweep zone box
- dashed memory line at the swept level
- optional chart background tint
- compact minor markers for lower-priority qualified sweeps
This allows the chart to remain informative without forcing every event to carry the same visual weight.
SIGNALS & ALERTS
The script includes deterministic alert conditions for:
- Bull Sweep Trigger
- Bear Sweep Trigger
- Bull Sweep Qualified
- Bear Sweep Qualified
- High Quality Bull Sweep
- High Quality Bear Sweep
A trigger means price challenged the stored liquidity level.
A qualified sweep means price also reclaimed the level according to the script rules.
A high-quality sweep means the final score exceeded the selected threshold.
These states are intended to help users organize workflow and review price behavior. They are not instructions to buy or sell.
KEY INPUTS
Pivot Strength
Controls how swings are confirmed. Higher values generally reduce noise but also make structural detection slower and more selective.
Max Swing Age
Limits how long old swing levels remain eligible. This helps keep the liquidity map focused on fresher structure.
Allow Next-Bar Reclaim
Allows the script to qualify a sweep when the reclaim happens on the next bar instead of only the sweep bar itself.
ATR Length
Used in the quality engine to normalize sweep depth and rejection distance.
Relative Volume Length
Defines the baseline used for volume comparison.
Crowding Width (ATR)
Helps penalize sweeps occurring in dense structural clusters, where nearby levels can reduce interpretive clarity.
Higher Timeframe and HTF EMA Length
Used to build an optional bias filter so aligned sweeps can receive a context bonus.
Min Score For Full Labels
Lets users keep high-information labels on stronger sweeps while weaker qualified sweeps can remain as compact markers.
Same-Side Full Label Cooldown
Reduces repeated full labels in the same direction over a short span, improving chart readability.
LIMITATIONS & TRANSPARENCY
This script is a chart-organization tool, not a stand-alone decision engine.
Because the logic is pivot-based, swing levels are only confirmed after the chosen Pivot Strength delay. That means the structural reference points are confirmed swings, not instantly-known highs or lows.
A liquidity sweep on one market, timeframe, or volatility regime may not behave the same way on another. The scoring framework is designed to rank events relative to the script's own rules, not to certify that a sweep will lead to reversal or continuation.
Higher relative volume may improve context, but volume confirmation does not guarantee outcome quality.
The higher-timeframe alignment feature is a contextual filter. It should not be interpreted as a macro trend forecast.
Like any visual overlay, this tool can produce signals in choppy or highly reactive conditions that later prove less useful than they first appeared. Parameter selection matters.
WHAT THIS SCRIPT IS NOT
This script is not a promise of reversal.
It is not a complete smart money framework.
It is not a substitute for execution planning, risk management, or broader market context.
It does not claim to detect institutional intent.
It does not classify every level break as tradable.
Instead, it focuses on one specific chart behavior:
sweep-and-reclaim quality around confirmed swing liquidity.
RISK DISCLOSURE
This indicator is for analytical and educational use only. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend aggressively, or ignore local sweep signals for extended periods. Users should validate any chart workflow with their own process, risk controls, and market understanding before acting on any signal or alert.
If you use this tool, it is generally best treated as a structural filter inside a broader workflow rather than as a stand-alone trigger.
AGPro Series note:
This publication is designed to emphasize structured chart reading, deterministic event definitions, and transparent methodology over promotional claims or outcome promises.
Indicator
OBV with Kalman Filter Improv [TechnicalZen]Reversals, Breakouts & Re-Entries: OBV with Kalman Filter Improv
What This Indicator Does
This indicator transforms On-Balance Volume into a visual momentum instrument. Raw OBV is normalized to a 0-100 scale, rendered as stair-step candles with a continuous color gradient, and overlaid with a dual Kalman-filtered ribbon that tracks the flow trend with adaptive precision.
The result is a single pane that answers three questions at a glance: Is volume flow accumulating or distributing? How strong is the conviction? Where are the reversal, breakout, and re-entry points?
No footprint data required. No premium subscription needed. Pure price action and volume.
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Why OBV Matters More Than Raw Volume
Raw volume bars tell you how much traded. They do not tell you which direction the volume was pushing. A high-volume bar during a selloff looks identical to a high-volume bar during a breakout rally.
On-Balance Volume assigns direction. When price closes up, the bar's volume is added. When price closes down, it is subtracted. The running total — OBV — reveals the persistent pressure beneath the surface. Rising OBV with flat price means accumulation. Falling OBV with rising price means distribution. These divergences are invisible on a standard volume histogram.
This indicator takes OBV further by normalizing it into a bounded oscillator, smoothing it for clarity, and applying Kalman filtering for adaptive trend detection.
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How It Works
The indicator processes OBV through four stages.
Stage 1 — Normalize to 0-100
Raw OBV is an unbounded cumulative number that grows indefinitely. This makes it difficult to compare across time periods or instruments. The indicator applies a rolling min-max normalization over a configurable lookback window (default 100 bars), mapping OBV into a 0-100 scale.
At 100, OBV is at its highest point within the lookback. At 0, its lowest. At 50, it sits at the midpoint of its recent range. This creates a bounded oscillator from a trending series.
Stage 2 — Stair-Step Candles
The normalized OBV is rendered as candles where each bar's open equals the previous bar's close. This creates seamless stair-step blocks with no gaps and no overlaps. The candles show the direction and magnitude of each bar's contribution to the flow — a tall green block means a strong volume push upward, a tall red block means aggressive selling pressure.
Stage 3 — Position-Based Color Gradient
Candle color is determined by where the candle sits in the 0-100 range, not merely whether it went up or down:
Bright green (above 70) — strong bullish accumulation zone
Yellow-green (50-70) — moderate bullish flow
Yellow (around 50) — neutral, transition zone
Orange (30-50) — weakening flow, bearish lean
Red (below 30) — strong bearish distribution zone
This gradient reveals the market's volume state at a glance. Candles clustered at the top in green signal sustained accumulation. Candles dropping through yellow into red signal a regime shift.
Stage 4 — Dual Kalman Ribbon
Two Kalman-filtered lines track the normalized OBV at different speeds:
Short KF (default 20) — responsive to recent flow shifts
Long KF (default 80) — tracks the underlying flow trend
When the short line is above the long line, the ribbon fills bullish. When below, bearish. The Kalman filter adapts its responsiveness automatically — smoothing through noise while responding quickly to genuine regime changes. This is fundamentally superior to any fixed-length moving average.
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Reading the Three Signals
Reversals
A reversal signal appears when candles have been clustered at one extreme (above 70 or below 30) and begin migrating toward the midline. The color gradient shifts — green fading to yellow, or red fading to orange. The Kalman ribbon begins to narrow as the short line approaches the long line. When the ribbon flips color, the reversal is confirmed by volume flow, not just price action.
Breakouts
A breakout appears as a large candle that punches through the 70 or 30 threshold line with expanding body size. The Kalman ribbon is already aligned in the breakout direction (short above long for bullish, below for bearish). This confirms that volume flow is supporting the price move — not just a wick or a fake breakout.
Re-Entries
After a breakout, price often pulls back. During a healthy pullback, the candles dip toward the midline (50) but the Kalman ribbon stays in the trend direction . Candles may turn yellow briefly but do not reach the opposite extreme. When candles resume their original color and move away from the midline, that is the re-entry — volume flow confirms the trend is intact.
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Why Kalman Filtering — Not EMA, SMA, or Hull
Traditional moving averages apply a fixed smoothing recipe regardless of market conditions. In a quiet market, they lag. In a volatile market, they whipsaw. The trader is forced to manually change the length setting as conditions change.
The Kalman filter solves this structurally. It maintains an internal estimate of both the value and its uncertainty . On every bar, it computes a gain that automatically balances between trusting the new data and trusting its prediction. When data is noisy, the gain drops and the filter smooths aggressively. When a genuine shift occurs, the gain rises and the filter responds immediately.
Two parameters control this behavior:
R (Measurement Noise) — how much noise is expected in each bar's data. Higher values produce smoother output.
Q (Process Noise) — how quickly the underlying trend is expected to change. Higher values allow faster adaptation.
The dual-line ribbon (short KF vs long KF) combines the adaptive smoothing with trend direction detection. The crossover of two Kalman-filtered lines is more reliable than traditional MA crossovers because the filter has already absorbed the noise before the crossover happens.
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Reading the Indicator
The Candles
Green blocks at top — strong sustained buying pressure. Trend is healthy.
Red blocks at bottom — strong sustained selling. Downtrend confirmed by volume.
Yellow/orange blocks at midline — indecision. Flow is balanced. Wait for direction.
Color transition — the gradient shift (green to yellow, or red to orange) often leads price by several bars.
The Kalman Ribbon
Green fill (short above long) — volume flow trend is bullish
Red fill (short below long) — volume flow trend is bearish
Ribbon narrowing — trend weakening, potential flip ahead
Ribbon widening — trend conviction increasing
The Threshold Lines
70 line — overbought in volume flow terms. Sustained presence above = strong trend, not necessarily a sell signal.
50 line — equilibrium. Transitions through this level signal regime changes.
30 line — oversold in volume flow terms. Sustained presence below = strong downtrend.
Line colors match the candle gradient — they shift with the regime.
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Key Settings
Normalization Lookback (default: 100)
Rolling window for min-max scaling. Higher values produce smoother oscillation with fewer extremes. Lower values make the indicator more reactive to recent volume changes.
HA Smoothing Passes (default: 1)
Number of additional smoothing passes on the normalized OBV. 1 = standard stair-step. 2-3 = smoother candles with less noise.
Short KF / Long KF Length (default: 20 / 80)
Controls the responsiveness of the two Kalman lines. The gap between them determines how quickly the ribbon detects trend changes.
Measurement Noise R (default: 0.01)
Higher = smoother Kalman output. Lower = more reactive to each bar.
Process Noise Q (default: 0.10)
Higher = faster adaptation to regime shifts. Lower = more rigid trend following.
Upper / Lower Threshold (default: 70 / 30)
Defines the overbought/oversold boundaries for the volume flow oscillator.
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Divergence — The Most Powerful Signal
When price makes a new high but the OBV candles fail to reach the upper zone (or are falling), volume is not confirming the move. This bearish divergence often precedes reversals by several bars. The Kalman ribbon will begin narrowing before the price chart shows any weakness.
Conversely, when price makes a new low but OBV candles hold above the lower zone or begin rising, that is bullish divergence — accumulation is happening beneath the surface.
The gradient coloring makes these divergences immediately visible. Price may look strong, but if the candles are orange instead of green, the volume story disagrees.
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What This Indicator Is Not
It does not generate automated buy or sell signals . It provides visual regime information for the trader to interpret.
It does not use footprint or order flow data . It is built on standard OBV which infers direction from price close. For actual bid/ask decomposition, a footprint-based indicator is required.
It does not predict future price direction . It reveals the current state and trend of volume flow. What the market does with that flow is never guaranteed.
It is not a standalone trading system . It is a confirmation and divergence detection tool designed to complement price action analysis.
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Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument.
All trading involves risk. Past performance of any signal, regime detection system, or volume analysis mechanism does not guarantee future results. The normalized OBV readings, Kalman-filtered trend lines, and color gradient zones represent a computational assessment of publicly available price and volume data. They are not predictions and should not be treated as certainties.
On-Balance Volume assigns all of a bar's volume to one direction based solely on whether the close was higher or lower than the previous close. This is an approximation. A bar that closes up by one tick with heavy selling throughout will register as entirely bullish volume in OBV. Traders should be aware of this limitation.
The Kalman filter parameters (R and Q) affect responsiveness. Poorly tuned parameters can produce either excessive lag or excessive noise. The default values are designed for general use but may require adjustment for specific instruments or timeframes.
No indicator, algorithm, or model can account for all market variables including liquidity events, news-driven gaps, exchange outages, or sudden regime changes. Traders should always use independent risk management, position sizing, and their own judgment before entering any trade.
By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
Indicator
Indicator
Swing-Level Z-Score Oscillator▶️Overview
The Swing-Level Z-Score Oscillator is an innovative indicator that bridges the gap between classic market structure and statistical probability. Instead of relying on traditional moving averages as a baseline, this oscillator evaluates price extremes relative to recent structural pivot levels (Swing Highs and Swing Lows).
By transforming these structural deviations into a standardized Z-Score, it provides a highly intuitive, context-aware perspective on Overbought (OB) and Oversold (OS) conditions.
▶️How It Works (The Logic)
Traditional oscillators often lag or provide false signals during strong trends. This script tackles that issue through a unique three-step process:
Dynamic Baseline : The algorithm constantly scans for recent Pivot Highs and Pivot Lows. It takes the average of the last N pivots to establish a dynamic "horizontal zone" of recent historical interest. This acts as our expected mean.
Error & Volatility: It measures the distance (error) between the current Close price and this expected mean. To understand the significance of this distance, it calculates the rolling standard deviation of these errors.
Z-Score Normalization: Finally, it divides the current error by the standard deviation. The result is a clean Z-Score that tells you exactly how many standard deviations the current price has stretched away from recent structural levels.
▶️Key Features
Actionable Market Context: Because the baseline is built on actual price pivots rather than arbitrary averages, the oscillator respects current market structure (support/resistance).
Intelligent Gradient UI: The indicator features a dynamic color-coding system.
The histogram and signal line smoothly fade based on the intensity of the momentum.
Vivid Extreme Alerts: When the Z-Score stretches beyond the critical ±2.0 Sigma threshold, the histogram flashes vivid Cyan (Overbought) or Neon Pink (Oversold), immediately catching your attention.
Plug-and-Play Presets: Don't want to mess with settings? Use the "Operating Mode" dropdown to quickly switch between Short-term, Standard, and Long-term presets tailored to different trading styles. Fully customizable options are also available.
▶️How to Trade with It
Mean Reversion (Fade the Extremes): When the histogram hits the vivid ±2.0 zones, the price is statistically overextended relative to recent swing levels. Look for exhaustion price action (like pin bars) combined with a hook back toward the center line to trade reversions.
Pullbacks in a Trend: During a clear trend, look for the oscillator to reset back to the Center Line (0) or the ±1 Sigma lines. These often represent optimal, low-risk entry points (buy the dip/sell the rally) before the trend resumes.
Momentum Breakouts: A sudden, aggressive spike that blasts through the ±2 Sigma line can indicate a genuine structural breakout with heavy momentum, rather than a mere overextension.
▶️Settings & Customization
If you select "Custom" in the Operating Mode, you can fine-tune:
Left/Right Bars: Adjusts the sensitivity of the pivot detection. Lower numbers catch micro-swings, while higher numbers catch major structural points.
StdDev Length: The lookback period for calculating the variance of the errors.
Past Pivots Count (N): Determines how many historical pivots are used to calculate the "Expected Value" baseline.
Disclaimer: This script is for educational and analytical purposes only. Always combine oscillator readings with broader price action analysis and proper risk management. Indicator
Multi-Factor Regime Scoring & Alerts [HYPR-run]DESCRIPTION:
Composite regime scoring system that fuses eight independent market dimensions into a single normalized Regime Factor (-1 to +1). The sweet spot is the +/-0.2 zone: when the Regime Factor crosses through this zone (dim white circles on chart), the regime just shifted from one side to the other through neutral. That crossover, with the HMA-smoothed Regime Curve sloping in the same direction, is the highest-conviction entry the composite produces. The alerts are built around this: Regime Pivot fires at +/-0.25 with volatility band confirmation.
DISCOVERING EDGE
Pursuing a mechanical edge in entry/exit timing, confirmation and conviction sizing led us to developing an oscillating expression of most of the key criteria we use in building automated strategies. We discovered there is a sweet-spot for higher conviction trades in the +/-0.2 - .+/-0.3 zone. For example if a SFP presents, waiting for the REGIME Factor to enter the zone has a higher probability of trending than if taken earlier. In addition, for earlier reversion trades, XO/XU the outer most levels of +/-0.6 are excellent early entries when following a disciplined sizing methodology.
EIGHT SCORING DIMENSIONS
1. Macro Pivot (+/-10): ROC regime exhaustion into inflection
2. ROC Filter (+/-9): layered rate of change momentum states
3. ADXVMA (+/-9): adaptive trend direction with regime gradient
4. OBVIX (+/-5): on-balance volume, volatility, and trend composite
5. Convergence (+/-7): multi-timeframe alignment across 7 timeframes
6. Mean Reversion (+/-10): blow-off detection and spike revert signals
7. Levels (+/-8): positioning relative to 50d, 200d, 10w moving averages
8. Mechanical Hold (+/-5): price action hold signals with squeeze detection
Macro pivot and mean reversion (+/-10 each) are the heaviest. When both fire in the same direction, they swing the composite by nearly a third of its total range.
HOW TO USE
Add to chart, adjust ADXVMA and Turtle periods to match your setup. Read the Regime Factor, not the price. Above +0.6 = strong bullish; XO/XU these levels for early starter positions. Below -0.6 = strong bearish. The +/-0.2 zone is the sweet spot: crossovers here (dim white circles) mark high-probability entries or confirmation to other set-ups like an SFP. The Regime Curve shows the trend of the regime itself; when the curve slopes against the score, the regime is decelerating.
When the composite is ambiguous (between 0.2 and 0.6), the dashboard tells you why. Macro pivot green but ROC filter yellow = inflection detected, momentum hasn't confirmed. Convergence bright green but ADXVMA yellow = multi-TF aligned but local MA still flat.
CROSS-DIMENSIONAL READS
The power is reading 2-3 dashboard rows together:
- Macro pivot firing while ROC filter still green = earliest warning of trend exhaustion
- "Macro Lc confirmed" + convergence at +5 or higher = highest-conviction reversal entry
- ADXVMA "Early Bull" + convergence at +5 = trend birth signal
- Convergence at +7 = strongest trend confirmation AND trigger for mean reversion detection. Maximum agreement = maximum overextension risk
- "Blow-Off" + "Hodl S" = hold confirmed but reversion loading against you; tighten
- "Legit Squeeze" + "Chopperoni" + convergence +/-5 = compressed energy, directional break coming
- Regime Factor +0.7 but Curve flattening = regime decelerating; leading signal of rollover
ALERTS
Regime Pivot fires when the Regime Factor crosses +/-0.25 with volatility band confirmation; solid arrows on chart. Built around the sweet spot: fires at the regime shift, not after the move has run. Spike Revert fires on mean reversion after blow-off; counter-trend edge from extreme overextension. Toggle each independently. For notifications without webhooks: condition = this indicator, "Any alert() function call", select push/email/popup. For webhook execution: paste endpoint URL, set Open-ended, create.
REGIME FACTOR THRESHOLD ZONES
+0.6 to +1.0 strong bullish (solid green hline)
+0.2 to +0.6 moderate bullish (dotted line)
-0.2 to +0.2 sweet spot entries (dim white circles); XO/XU here
-0.6 to -0.2 moderate bearish (dotted line)
-1.0 to -0.6 strong bearish (solid red hline)
DASHBOARD (9 rows)
1. MACRO PIVOT - Green: Pivoting ↑, Lc ↗ (confirmed), L In Play ↗. Red: inverse. Black: neutral.
2. ROC FILTER - Bright Green: Momentum ↑. Green: Trending ↗ / Rolling Over ↓. Yellow: Continuation / Stage 1 / Reversion. Orange: Exhaustion. White: Sideways. Red/Bright Red: inverse.
3. ADXVMA - Green: D Trend ↗, Trending ↗, Early Bull. Yellow: Pivoting, Consolidation, Chopperoni. Red: inverse.
4. OBVIX - Green: positive. Red: negative. Black: flat.
5. CONVERGENCE - Bright Green: All Lined Up ↑ (7/7). Gradient green: +5 to +6. Dim: +3 to +4. Black: near 0. Red gradient: inverse.
6. MEAN REVERSION - Yellow: Blow-Off, High Potential, Possible. Green: Spike Revert ↑ / MR In Play ↗. Red: inverse.
7. LEVELS - Green: Bouncing key MAs, XO events. Red: Rejecting, XU events. MA combo: above/below 50d, 100d, 200d + 10w anchor.
8. MECHANICAL HOLD - Squeeze gradient: Legit Squeeze / Squeezing. Green: Hodl L. Red: Hodl S. Black: Get Ready / Neutral.
9. REGIME FACTOR - Composite score with gradient color and numeric display.
CREDITS
ADXVMA: Linnsoft
ADX: J. Welles Wilder (1978)
VIDYA: Tushar S. Chande, TASC March 1992
Advance/Decline gradient: LucF
Turtle breakout concept: Richard Donchian Indicator
ML Trend Architect [TechnicalZen]ML Trend Architect
A regime visualization and forecasting engine that combines machine learning confidence scoring with curved 3D glass facades to map market structure and anticipate regime transitions in real-time.
What It Does
This indicator identifies directional regime changes using a dual-engine approach — an impulse momentum engine and a DX/ADX directional movement engine — then wraps them in curved 3D visual envelopes that show regime strength, direction, and conviction at a glance. Beyond detection, it actively forecasts regime quality by scoring each transition against historical analogs and projecting follow-through probability before the move fully develops.
How It Works
Regime Detection
Band-break events (flips, continuations, refreshes) drive regime transitions. Price breaking above the upper band triggers a bullish flip; below the lower band triggers bearish. The system requires confirmation bars and enforces cooldowns to prevent whipsaws.
Forecasting Engine
At each regime transition, the engine evaluates how likely the new regime is to follow through before the move has played out. It scores setup quality across multiple dimensions — anchor cluster positioning, momentum alignment, compression state, duration, excursion depth, and family coherence — to produce a forward-looking conviction percentage. When KNN Memory is active, it deepens this forecast by matching the current setup fingerprint against resolved historical analogs, asking: "of all similar setups in the past, what percentage actually followed through?" The result is a probabilistic forecast — not a reactive signal — displayed as a confidence label at the moment of regime change.
Forward Resolution and Accountability
Every forecast is tracked forward over a configurable evaluation window. The system monitors whether price held on the correct side of the anchor cluster and whether it expanded sufficiently. Forecasts that fail to materialize are marked with a rejection symbol — creating a visible track record of forecast accuracy directly on the chart. This closed-loop accountability distinguishes it from indicators that fire and forget.
Curved Glass Facades
Instead of flat rectangular boxes, regime segments are rendered as curved 3D envelopes using square-root decay from the band edges. The curves start wide at segment birth and taper naturally, creating organic shapes that reflect each regime's character — steep narrow curves for aggressive moves, wide gradual sweeps for grinding trends.
DX Heat Strip
A color-gradient ribbon flows along the curved walls showing directional conviction in real-time. Yellow indicates weak/choppy conditions; cyan indicates strong bullish momentum; magenta indicates strong bearish pressure. Bulls support from below, bears press from above.
4-Color Regime System
The regime uses a continuous gradient driven by ADX position and slope, producing four distinct states that blend smoothly:
- Teal: strong bullish momentum (ADX positive, rising)
- Orange: fading bullish momentum (ADX positive, falling)
- Light Green: fading bearish pressure (ADX negative, rising)
- Red: strong bearish pressure (ADX negative, falling)
Signal Leader Detection
The engine tracks which signal source — Impulse or DX — has been more accurate recently and who fires first. This is itself a forecast: it predicts which signal source you should weight more heavily in the current market regime. The dashboard displays the current leader with win rate and directional bias.
Connection Lines
Dashed lines connect same-direction hull phases across interruptions, drawing on highs (bear color) and lows (bull color). When the price connection slope diverges from the indicator slope, lines become solid and thicken — flagging potential divergence setups that often precede regime reversals.
The Forecasting Pipeline
Step 1: Context Assessment — Where is price relative to the 7-anchor cluster? Are anchors aligned (coherent) or scattered? Is the market compressed or extended?
Step 2: Trigger Quality — How decisive is the breakout bar? Body ratio, close location, force spread, and cluster clearance are scored.
Step 3: Regime Environment — ADX strength, relative volume, and ATR regime provide the macro backdrop.
Step 4: Analog Matching (KNN) — The current feature fingerprint is compared to historical setups. Nearest neighbors are found using normalized Manhattan distance across 5 feature dimensions. Their resolved outcomes (success/failure) are distance-weighted to produce a probability.
Step 5: Blended Forecast — Base score and KNN probability are blended (configurable weight) into a final conviction percentage.
Step 6: Forward Tracking — The forecast is monitored over the evaluation window. Hold ratio and expansion targets determine success or failure.
Step 7: Memory Update — Resolved outcomes feed back into the KNN memory bank, continuously improving forecast accuracy on the current instrument.
Theme Presets
Curved — Full curved glass facades with 3D depth, regime fills, and heat strip
Classic — Clean curved envelopes without 3D effects
Heat Strip — Minimal view showing only the DX heat ribbon, markers, and connection lines
Custom — Full manual control over all visual parameters
Key Settings
My Trade Style — Balanced (standard width), Conservative (wider bands), or Aggressive (tighter bands)
Regime Mode — Swing (4-color ADX gradient) or Scalp (2-state impulse-driven)
Mid Line View — Lead (mid sits opposite price as support/resistance) or Follow (mid tracks toward price)
KNN Memory — Enable adaptive learning from historical pattern outcomes
Confidence Threshold — Minimum confidence % required to display a forecast label
Theme Preset — Quick visual style switching
Dashboard
The dashboard displays: Signal Leader (with win rate and direction), ADX Trend, Regime state, Structure (zone from VWMA positioning), Conviction (dominant confidence with ML/base tag), Impulse direction, Volatility regime, Session status, Win Rates, and Mode.
How to Use
Watch the regime color for the macro direction — teal and orange are bullish states, green and red are bearish
Read the heat strip color for conviction strength — vivid colors mean strong directional movement, yellow means caution
Follow the connection lines for structural trend tracking — solid thick lines with diamonds flag divergence between price and momentum
Trust confidence labels above your threshold — higher % means the forecast matches historically successful patterns
Respect rejection markers (x) — they mark where a forecast failed to materialize
Check the Leader in the dashboard — trade with the signal source that has been more reliable recently
Enable KNN Memory for instruments you trade regularly — it improves forecast accuracy as it accumulates resolved outcomes
Technical Notes
Works on any instrument and timeframe
No repainting — all signals confirm on bar close
KNN memory is session-scoped and builds over time on the current instrument
3D rendering uses polylines (max 100) with configurable segment count
Confidence scoring uses a 7-anchor cluster consensus, not a single indicator
Forecasts are forward-resolved with visible accountability — every prediction is tracked and scored
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice and should not be used as the sole basis for any trading or investment decision. Past performance of any signal, pattern, or scoring system does not guarantee future results. All trading involves risk, including the potential loss of principal. The machine learning components learn from historical data on the current instrument and timeframe — their predictions reflect pattern similarity, not certainty. The term "forecast" refers to probabilistic scoring of setup quality based on historical analogs, not a guarantee of future price direction. Always conduct your own analysis, manage your risk appropriately, and consult a qualified financial advisor before making trading decisions. The developer assumes no liability for any losses incurred through the use of this tool.
Indicator
[ A L P H A X ] Swing Architect Predictive Swing Mapping AlphaX Swing Architect – Predictive Swing Mapping, Fibonacci Target Projection & Exhaustion Detection
AlphaX Swing Architect is a professional-grade swing analysis and projection system built on a proprietary multi-factor swing engine. It detects completed swing highs and lows, measures their historical characteristics, and projects where the next swing is statistically likely to terminate — using Fibonacci-scaled target zones, time-based duration estimates, and real-time exhaustion tracking. Designed for swing traders and intraday position traders on XAUUSD, indices, forex, and crypto.
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🔬 The Swing Engine — How It Works
At the core of AlphaX Swing Architect is a dynamic swing detection system that identifies confirmed swing highs and swing lows using adaptive highest/lowest scanning across a configurable lookback window. Unlike simple pivot detection, this engine waits for structural confirmation — a swing high is only registered when price breaks below a new high after establishing it, and a swing low is only registered when price breaks above a new low after establishing it.
Once a swing completes, the engine measures three critical properties:
Swing Size — The percentage move from swing high to swing low (or vice versa)
Swing Duration — How many bars the swing took to complete
Swing Velocity — The speed of the move (percentage per bar)
These measurements are stored in a rolling historical buffer (configurable from 3 to 25 samples). The engine then uses this history to project where and when the current swing is likely to end.
Three projection methods are available:
Average — Balanced projection using the arithmetic mean of all samples
Median — Outlier-resistant projection using the middle value
Weighted — Recency-biased projection where recent swings carry more influence than older ones
The Weighted method adapts fastest to changing market conditions — ideal for instruments that alternate between calm and volatile phases.
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📊 Six Analysis Layers
AlphaX Swing Architect combines six independent analysis layers into a single cohesive system:
1 ─ Swing Zones (Shaded Boxes)
Shaded boxes mark the confirmed swing high and swing low levels. Each box extends forward to the projection offset and displays:
The exact price level of the swing point
Volume data — Buy volume sum at swing lows, Sell volume sum at swing highs
Directional arrows — ▲ for support zones (swing lows), ▼ for resistance zones (swing highs)
The boxes are expanded vertically using ATR-based padding so the text sits clearly inside the zone without overlapping with price action. Box colors follow the AlphaX theme — green for bullish swing lows (support), red for bearish swing highs (resistance).
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2 ─ Swing Leg Lines
Solid colored lines connecting swing highs to swing lows — green for bullish legs, red for bearish legs
Each completed swing leg is drawn as a solid line connecting the swing high to the swing low. This provides immediate visual context for the market's structural rhythm.
Green lines — Bullish swing legs (price moved from low to high)
Red lines — Bearish swing legs (price moved from high to low)
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3 ─ Fibonacci Target Projection
This is the primary predictive feature. Based on the historical average swing size, four target levels are projected forward:
0.618 Level (Teal) — Conservative target. The minimum expected move if the swing follows historical patterns. Ideal for partial profit taking.
1.000 Level (Green/Red) — The full projected move based on historical average. This is the primary target — the dashed projection line terminates here.
1.272 Level (Orange) — Extended target. Reached during momentum continuation moves. Indicates the swing is stronger than average.
1.618 Level (Red) — Extreme target. Reached during blow-off tops or capitulation sell-offs. Indicates exceptional momentum — also a high-probability exhaustion zone.
Each level is displayed as a short horizontal marker with a label showing the Fibonacci ratio. The main projection line (dashed) connects the last swing point to the 1.000 target level and shows both the projected percentage move and the target price.
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4 ─ Time Projection
Vertical dotted line showing the estimated number of bars until swing completion
Using the weighted average of historical swing durations, the engine projects how many bars the current swing is expected to last. This appears as a vertical dotted line at the estimated completion point.
Helps traders anticipate when a reversal might occur, not just at what price
Particularly useful for time-based strategies and options trading where timing matters as much as direction
Can be toggled on/off independently
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5 ─ Exhaustion Detection System
Orange warning label appearing when the current swing reaches the configurable threshold of the projected average
The exhaustion engine continuously tracks the current swing's progress as a percentage of the projected average swing size. When the current move reaches the configurable threshold (default 85%), a warning fires.
⚠ Exhaustion Warning — Appears on the chart showing current progress vs projected target (e.g., "⚠ 2.1% / 2.5%")
This is the highest probability reversal zone — historical data suggests the swing is running out of steam
The warning does not guarantee reversal but indicates that statistically, most swings of this instrument have completed by this point
Configurable threshold allows aggressive (70%) or conservative (100%) detection
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6 ─ Confidence-Scored Reversal Signals
When the exhaustion system detects that a swing has reached its projected completion zone, the signal engine evaluates multiple confluence factors before generating an entry signal.
▲ Green Label (Bull Signal) — Dark text on green background. Fires when a bearish swing reaches exhaustion and a bullish reversal candle confirms.
▼ Red Label (Bear Signal) — White text on red background. Fires when a bullish swing reaches exhaustion and a bearish reversal candle confirms.
Each signal is classified into tiers based on confidence score:
S-Tier (75%+) — Highest probability. Strong trend alignment, high consistency, volume confirmation, deep exhaustion.
A-Tier (55–74%) — High probability. Most factors aligned but one or two may be neutral.
B-Tier (35–54%) — Moderate probability. Basic conditions met but some factors are weak.
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🧠 Multi-Factor Confidence Scoring
Every reversal signal is scored by a real-time confidence engine that evaluates six independent factors:
Trend Alignment (up to 25 points)
HH/HL structure detected → bullish signal scores maximum
LH/LL structure detected → bearish signal scores maximum
Neutral structure → reduced score
Counter-trend signal → zero points (strongest filter)
Exhaustion Depth (up to 20 points)
Current swing has reached or exceeded the projected average size
Only fires when exhaustion warning is active
Historical Consistency (up to 20 points)
Measures how consistent historical swing sizes have been using statistical coefficient of variation
Higher consistency → more reliable projections → higher score
Erratic swing sizes → lower score → projections less trustworthy
Volume Confirmation (up to 15 points)
Volume delta within the current swing leg
Bullish signals score higher when sell volume dominates (selling exhaustion)
Bearish signals score higher when buy volume dominates (buying exhaustion)
Sufficient History (up to 10 points)
Full sample buffer filled → maximum score
Partial buffer → reduced score
Prevents signals from firing before enough data exists
Zone Proximity (up to 10 points)
How close price is to the projected target level
At or beyond target → maximum score
Still far from target → reduced score
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📐 Trend Structure Analysis
The engine analyzes the sequence of swing highs and swing lows to determine the market's structural trend:
UPTREND — Higher highs and higher lows dominate recent swing history. Bullish signals carry maximum confidence. Bearish signals are penalized.
DOWNTREND — Lower highs and lower lows dominate. Bearish signals carry maximum confidence. Bullish signals are penalized.
NEUTRAL — Mixed structure. Both signal types receive moderate baseline scores.
The trend strength percentage shows how dominant the pattern is across the lookback window (configurable from 2 to 10 swings).
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📊 Volume Delta Analysis
Within each active swing leg, the engine separates volume into bullish (close > open) and bearish (close < open) components:
Buy Volume Sum — Total volume on bullish candles within the leg
Sell Volume Sum — Total volume on bearish candles within the leg
Delta Volume — Buy minus Sell — shows net buying or selling pressure
Volume Ratio — Delta as a percentage of total — shows conviction strength
This data is displayed both on the swing zone boxes and in the dashboard.
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📐 Dashboard Intelligence
A comprehensive AlphaX-branded dashboard provides real-time metrics organized into four sections:
Swing History
Individual percentage moves of the most recent completed swings
Color-coded from green (bullish) to red (bearish) with gradient intensity
Projection
Next swing direction and projected percentage size
Target price level
Projection method in use
Estimated duration in bars
Active Swing
Current progress as percentage of projected target
Exhaustion status (Active or Warning)
Current velocity compared to historical average (Fast / Normal / Slow / Crawling)
Analysis
Trend structure (Uptrend / Downtrend / Neutral) with strength percentage
Projection consistency score (High / Moderate / Low / Erratic)
Volume delta direction and magnitude
Total completed swing count
Current bull and bear signal confidence scores
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🚀 How to Trade with AlphaX Swing Architect — Step by Step
Step 1 — Let History Build
Allow the indicator to detect at least 3–5 completed swings before acting on projections
Check the Dashboard: Is Consistency score above 50%? If not, projections are unreliable — wait for more data.
Step 2 — Identify the Active Swing
Look at the dashed projection line — it shows where the current swing is expected to terminate
Check the Fibonacci targets for multiple take-profit levels
Note the time projection — when is the swing expected to complete?
Step 3 — Monitor Exhaustion
Watch the Dashboard "Progress" row — it shows current swing size vs projected size
When progress exceeds 85% (or your configured threshold), the ⚠ exhaustion warning appears
This is the zone where reversals are most likely — prepare for a potential entry
Complete trade flow: Swing detection → Projection → Exhaustion warning → Reversal signal → Target
Step 4 — Enter on Confirmed Signal
Wait for a confidence-scored label (▲ or ▼) to appear
Check the tier — S-Tier and A-Tier signals have the highest probability
Enter in the signal direction with a stop loss beyond the swing extreme
Step 5 — Set Targets Using Fibonacci Levels
Use the 0.618 level for partial profit (conservative)
Use the 1.000 level for full projected target
Use the 1.272 and 1.618 levels for extended runners
Trail your stop as price moves through each level
Step 6 — Exit When Next Exhaustion Fires
When the new swing you entered reaches its own exhaustion zone, consider taking remaining profit
The cycle then repeats — wait for the next swing projection and reversal signal
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⚡ Key Features
🔬 Dynamic swing detection with structural confirmation — no repainting
📐 Fibonacci-scaled multi-target projection (0.618, 1.000, 1.272, 1.618)
⏱ Time-based duration projection — estimates when the swing may complete
⚠ Real-time exhaustion detection — warns when swing reaches statistical completion zone
📊 Three projection methods — Average, Median, and Weighted (recency-biased)
🧠 Multi-factor confidence scoring — trend, exhaustion, consistency, volume, history, proximity
▲▼ S/A/B Tier classified reversal signals with readable label colors
📈 Trend structure analysis — HH/HL/LH/LL pattern detection with strength scoring
📊 Volume delta analysis — buy vs sell volume within each swing leg
☁ Expanded swing zones with clear text positioning away from price action
📐 Comprehensive AlphaX-branded dashboard with four analysis sections
🎨 Cohesive dual-tone color theme — Green for bull, Red for bear, Orange for warnings
🔔 15+ alert conditions — swing changes, signals by tier, and exhaustion warnings
⚙ Fully configurable — all detection lengths, thresholds, and visual elements adjustable
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⚙ Settings Reference
Swing Detection
Swing Detection Length — Bars used to find swing highs/lows (default: 30)
Pivot Confirmation Bars — Additional bars required to confirm swing validity
Projection
Future Projection Offset — How far targets are drawn into the future visually
Historical Swing Samples — Number of completed swings in the calculation buffer (default: 6)
Projection Method — Average, Median, or Weighted aggregation
Show Fibonacci Targets — Toggle the four Fib extension levels
Show Time Projection — Toggle the estimated duration marker
Swing Zones
Show Swing Zones — Toggle the shaded boxes at swing points
Show Swing Leg Lines — Toggle the connecting lines between highs and lows
Extend Zones Forward — Keep zones extending right indefinitely
Zone ATR Thickness — Controls the vertical size of the zone boxes
Exhaustion Detection
Show Exhaustion Warnings — Toggle the ⚠ warning labels
Exhaustion Threshold % — How much of the projected swing must be completed before warning (default: 85%)
Trend Context
Show Trend Context — Toggle HH/HL/LH/LL structure analysis
Trend Lookback Swings — How many swing points to analyze for structure (default: 4)
Signals
Show Entry Signals — Toggle reversal signal labels
Min Signal Confidence % — Minimum score required for a signal to display (default: 35%)
Signal Cooldown — Minimum bars between consecutive signals (default: 5)
Dashboard
Show Dashboard — Toggle the information panel
Position — Top Left, Top Right, Bottom Left, Bottom Right
Dashboard Text Size — Tiny, Small, Normal
Colors
Bull Primary / Bright / Dim — Green family for bullish elements
Bear Primary / Bright / Dim — Red family for bearish elements
Fib 0.618 / 1.000 / 1.272 / 1.618 — Individual Fibonacci level colors
Exhaustion Warning — Orange for warning elements
Neutral / Neutral Light — Gray for structural elements
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🔔 Alert Conditions
New Bullish Swing Started — Fires when swing direction changes to bullish
New Bearish Swing Started — Fires when swing direction changes to bearish
Swing Direction Changed — Fires on any direction change
S-Tier Bull / Bear Reversal — Confidence ≥ 75%
A-Tier Bull / Bear Reversal — Confidence 55–74%
B-Tier Bull / Bear Reversal — Confidence 35–54%
Any Bull / Bear / Any Signal — Combined alert conditions
Swing Exhaustion Warning — Fires when current swing enters the projected completion zone
All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration.
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🎯 Default Settings — Optimized For
The default configuration is tuned for XAUUSD (Gold) and major indices on the 5-minute to 1-hour timeframes :
Swing Detection Length at 30 captures meaningful swing structure without noise
6 historical samples provide balanced projection without excessive lag
Weighted projection method adapts to gold's alternating calm/volatile sessions
Exhaustion threshold at 85% catches most reversals before they fully form
Confidence minimum at 35% filters weak setups while keeping valid signals
For other instruments or timeframes, adjust:
Higher timeframes (4H, Daily) — Increase Swing Length to 40–60, increase Samples to 8–12
Lower timeframes (1m, 5m) — Reduce Swing Length to 15–25, keep Samples at 5–6
Forex majors — Use defaults or reduce Swing Length slightly for tighter swings
Crypto — Increase Swing Length to 35–50 (higher volatility creates wider swings)
Less noise — Increase Min Confidence %, increase Exhaustion Threshold, increase Swing Length
More signals — Decrease Min Confidence %, decrease Exhaustion Threshold to 75%
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👥 Who This Is For
🥇 Swing Traders — Built specifically for identifying and projecting swing completion zones
📐 Fibonacci Traders — Automatic multi-level Fib projections based on actual historical swing data, not arbitrary levels
📊 Gold & Index Traders — Tuned for instruments with rhythmic swing behavior
🧠 Statistical Traders — Consistency scoring and confidence metrics provide a quantitative framework
⏱ Time-Based Traders — Duration projection helps anticipate when reversals may occur
📈 Traders who want a clean chart — No indicator soup. Zones, projections, and a dashboard — everything serves a purpose
⚠ Traders who struggle with exits — Exhaustion detection tells you when the move is statistically over
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📝 Notes
All calculations are non-repainting — swing points are confirmed only after structural validation
Projections update in real-time on the last bar as new swing data becomes available
Dashboard updates on the last bar only for performance optimization
Volume analysis uses candle direction (close vs open) as a proxy for buy/sell pressure — this is an approximation, not true order flow
Maximum 500 labels, 500 boxes, and 500 lines are used — on very low timeframes with extended history, oldest drawings may be automatically removed by PulseWire's rendering limits
The indicator requires at least 3 completed swings before projections become meaningful — allow sufficient chart history to load
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals and projections are generated from historical and real-time price data using mathematical and statistical calculations — their accuracy or profitability is not guaranteed. Past swing behavior does not guarantee future swing sizes or durations. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who demand clarity, confidence, and precision from their charts. Indicator
NORN WEAVE | FEHUOverview
NORN WEAVE ᚠ FEHU is a trend-following strategy built around one philosophy: survival first, profit second.
The core logic is three filters in sequence — EMA slope, Dow Theory swing structure, and ADX trend confirmation. All three must align before an entry is taken. If the market is ranging, the strategy stands aside.
What defines NORN WEAVE is how it protects what it earns. The Break Even Stop automatically moves the stop to entry price once floating profit reaches a threshold. The Footprint Delta Filter adds a second layer, blocking entries when BTC or ETH order flow contradicts the trade direction. Fewer trades. Fewer unnecessary losses. A drawdown profile that stays flat even across five years of volatile crypto markets.
This is not a strategy designed to make you rich overnight. It is designed to keep you in the game.
Performance Highlights (DOGE / 2H / 2021–2026)
Backtested on DOGE 2H from January 2021 to March 2026, with 0.055% commission included. Net profit +25.4%, max drawdown 1.71%, win rate 70.7%, profit factor 1.80, total trades 557.
Always backtest on your target asset before live trading.
Entry Conditions
Long: EMA rising AND Dow Theory trend up AND ADX above threshold.
Short: EMA falling AND Dow Theory trend down AND ADX above threshold.
Exit Conditions
TP1 triggers at ATR × Factor × 1, closing 30% of the position. TP2 at × 2, closing another 30%. TP3 at × 3, closing a further 30%. The Stop Loss closes the full position at a fixed percentage from entry. The Break Even Stop automatically triggers once floating profit reaches the BE threshold, closing the full position at entry price. A Trend Reversal — when Dow Theory swing flips — also closes the full position.
Footprint Delta Filter (Premium plan required)
Uses BTC or ETH footprint delta (buy volume − sell volume) as a directional confirmation filter. Blocks entries when order flow contradicts the trade direction. Meaningful reduction in false signals during ranging markets.
Parameters
EMA Period defaults to 58, recommended range 30–100. Use shorter values for high-volatility assets, longer for stable ones.
ATR Factor defaults to 3.8, recommended range 2.5–6.0. Controls TP distance — higher means wider targets.
Stop Loss defaults to -5.0%, recommended range -4 to -10%. Wider for volatile assets, tighter for BTC/ETH.
ADX Threshold defaults to 20.5, recommended range 15–28. Higher values produce fewer but cleaner trades.
Swing Length defaults to 13, recommended range 2–20. Larger values reduce sensitivity to minor swings.
BE Trigger defaults to 9.0%, recommended range 3–15%. Set below TP1 distance to protect profits before TP1 is reached.
Footprint Delta SMA defaults to 21, recommended range 1–50. Controls smoothing of the delta signal.
Recommended Settings
For meme coins such as DOGE and SHIB: EMA 44–58, ATR 3.5–5.0, stop loss -5 to -8%, ADX 18–22, BE trigger 7–10%.
For major assets such as BTC and ETH: EMA 55–80, ATR 2.5–4.0, stop loss -4 to -6%, ADX 20–25, BE trigger 5–8%.
For mid-cap alts such as SOL and SUI: EMA 35–55, ATR 4.0–5.5, stop loss -5 to -7%, ADX 18–23, BE trigger 6–10%.
For timeframe selection, an ADX threshold of 15–20 suits 1–5 minute charts. 18–23 suits 15 minutes to 1 hour. 20–25 suits 2–4 hour charts. Default settings are optimized for the 2H timeframe.
Visual Guide
The EMA line uses a 3-layer glow effect — teal when rising, red when falling. Dow Theory zones show a gradient from the current swing level to the current price. TP lines are semi-transparent, with TP1 the faintest and TP3 the most visible. The BE Stop line appears in gold only when the break even stop is active. A gray background indicates ADX is below the threshold — the strategy does not enter trades in this zone. An orange background means the Footprint Delta Filter is blocking entry. The status table shows all entry conditions and current state in real time, with a Japanese/English toggle.
概要
NORN WEAVE ᚠ FEHU は、「まず生き残る、利益はその次」 という一つの哲学から作られたトレンドフォロー型ストラテジーです。
エントリー条件はシンプルな3つのフィルターで構成されています——EMAの傾き、ダウ理論のスイング構造、ADXトレンドフィルター。この3つが同時に揃ったときだけエントリーします。レンジ相場と判断されたときは、何もせずに待ちます。
NORN WEAVEを特徴づけているのは、稼いだ利益をどう守るかという設計です。ブレークイーブンストップは、含み益が一定の閾値に達した瞬間に損切りラインをエントリー価格へ自動移動します。フットプリント・デルタフィルターはBTCまたはETHのオーダーフローを確認し、トレードの方向と逆行している場合はエントリーをブロックします。結果としてトレード数は絞られ、不要な損失が減り、ドローダウンが5年間の荒れた暗号資産市場でも極めて小さく抑えられています。
一夜にして資産を増やすストラテジーではありません。長くゲームに居続けるためのストラテジーです。
バックテスト結果
DOGEの2時間足、2021年1月から2026年3月まで、手数料0.055%を含む条件でバックテストを実施しています。総損益は+25.4%、最大ドローダウンは1.71%、勝率は70.7%、プロフィットファクターは1.80、トレード総数は557件です。
実運用の前に必ずご自身の対象銘柄でバックテストを行ってください。
エントリー条件
ロングエントリーはEMAが上向き、ダウ理論トレンドが上昇、ADXがしきい値以上の3条件が揃ったときに発動します。ショートエントリーはEMAが下向き、ダウ理論トレンドが下降、ADXがしきい値以上の3条件が揃ったときに発動します。
イグジット条件
TP1はエントリーからATR×倍率×1の地点でポジションの30%を決済します。TP2は×2の地点でさらに30%、TP3は×3の地点でさらに30%を決済します。損切りは設定した%を超えた時点でポジションを全決済します。ブレークイーブンストップは含み益がしきい値%に達した瞬間に自動発動し、エントリー価格でポジションを全決済します。ダウ理論のスイングが逆転したトレンド反転時も、ポジションを全決済します。
フットプリント・デルタフィルター（Premiumプラン以上が必要）
BTCまたはETHのフットプリント・デルタ（買い出来高から売り出来高を引いた値）を方向性確認フィルターとして使用します。オーダーフローがトレードの方向と逆行しているときはエントリーをブロックします。横ばい相場でのだましシグナルを大幅に削減します。
パラメーター
EMA期間のデフォルトは58で、推奨範囲は30〜100です。ボラティリティが高い銘柄は短め、安定した銘柄は長めに設定します。
ATR倍率のデフォルトは3.8で、推奨範囲は2.5〜6.0です。TP距離の基準となる値で、大きいほど利確ラインが遠くなります。
損切りのデフォルトは-5.0%で、推奨範囲は-4〜-10%です。ボラティリティが高い銘柄は広め、BTC・ETHなどはタイトに設定します。
ADXしきい値のデフォルトは20.5で、推奨範囲は15〜28です。高いほどトレード数が減り、精度が上がります。
スイング検出期間のデフォルトは13で、推奨範囲は2〜20です。大きいほど小さなスイングに反応しにくくなります。
BE発動しきい値のデフォルトは9.0%で、推奨範囲は3〜15%です。TP1到達距離より低めに設定することで、TP1到達前に元本を保護できます。
フットプリントSMA期間のデフォルトは21で、推奨範囲は1〜50です。デルタシグナルの平滑化期間です。
銘柄タイプ別おすすめ設定
ミーム系銘柄（DOGE・SHIBなど）ではEMAを44〜58、ATR倍率を3.5〜5.0、損切りを-5〜-8%、ADXしきい値を18〜22、BEトリガーを7〜10%に設定することを推奨します。
主要銘柄（BTC・ETH）ではEMAを55〜80、ATR倍率を2.5〜4.0、損切りを-4〜-6%、ADXしきい値を20〜25、BEトリガーを5〜8%に設定することを推奨します。
中堅アルト（SOL・SUIなど）ではEMAを35〜55、ATR倍率を4.0〜5.5、損切りを-5〜-7%、ADXしきい値を18〜23、BEトリガーを6〜10%に設定することを推奨します。
時間足については、1〜5分足ではADXしきい値を15〜20、15分〜1時間足では18〜23、2〜4時間足では20〜25に設定することを推奨します。デフォルト設定はDOGEの2時間足向けに最適化されています。
チャートの見方
EMAラインは3層のグロー効果で描画されます。上向きのときはティール、下向きのときはレッドで表示されます。ダウ理論ゾーンは現在のスイングレベルから現在価格へ向かうグラデーションで表示されます。TPラインは半透明で、TP1が最も薄く、TP3が最も濃く表示されます。BEストップラインはブレークイーブンストップが発動している間のみゴールドのラインで表示されます。グレーの背景はADXがしきい値以下の横ばいゾーンを示しており、このゾーンではエントリーは発生しません。オレンジの背景はフットプリント・デルタフィルターがエントリーをブロックしていることを示します。ステータステーブルは全エントリー条件と現在の状態をリアルタイムで表示し、日本語・英語の切り替えに対応しています。
デフォルト設定はDOGEの2時間足向けに最適化されています。実運用の前に必ずご自身の対象銘柄・時間足でバックテストを行ってください。過去の結果は将来の利益を保証するものではありません。
NORN WEAVEは今後も継続的にアップデートされます。ただし、コアコンセプト——生き残ること——は変わりません。
Strategy
AI SuperTrend Strength Forecasting Engine [TraderZen]The question that matters most in real time: "How confident should I be in this setup right now?"
The ML Trend Strength Forecasting Engine was built to answer that question directly. Instead of drawing lines on a chart and leaving interpretation to the trader, it computes a numerical confidence score for every potential bull and bear setup as it forms. It evaluates the quality of the setup context, the strength of the trigger bar, the state of the broader market regime, and whether similar setups in the recent past actually worked. The output is a percentage — how likely is this signal to follow through.
The indicator does not generate buy or sell signals in the traditional sense. It provides a calibrated confidence reading that helps the trader decide whether to act, wait, or pass entirely.
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Key Differences and Advantages
What KNN Predicts
Generally: "Will the trend direction be right?"
This Indicator: "Will this setup hold or expand?"
Training Labels
Generally: Past indicator directions (circular — predicting itself)
This Indicator: Actual price outcomes (self-validating — did the trade work?)
Signal Source
Generally: Single trend line or oscillator
This Indicator: 7-anchor cluster consensus (VWAP, VWMA, EMA, SMA, RMA, HMA, Donchian)
Features
Generally: RSI + MA deviation at multiple timeframes
This Indicator: Context + Trigger + Volume + ADX + Trend Distance — Kalman-filtered
Confidence Meaning
Generally: "How similar to past indicator wins"
This Indicator: "How likely to follow through based on setup quality + historical analogs"
Accountability
Generally: No rejection tracking, no performance feedback
This Indicator: Rejection markers on failed signals + live win rate dashboard
Adaptivity
Generally: Fixed normalization window, static thresholds
This Indicator: Adaptive ceilings, vol regime scaling, running stats, memory decay
How It Works
The engine runs five interconnected layers , each feeding into a final confidence score.
Layer 1 — The Anchor Cluster
Seven moving averages are computed simultaneously: VWAP, VWMA, EMA, SMA, RMA, HMA, and the Donchian midpoint. These are grouped into four families:
Institutional — VWAP and VWMA
Trend — EMA, SMA, RMA
Fast — HMA
Structural — Donchian midpoint
The high, low, and midpoint of this entire cluster define where the market's center of gravity sits. A bullish candidate is detected when price crosses above the cluster midpoint from below. A bearish candidate is detected when price crosses below from above. The crossing is the trigger event. Everything else evaluates the quality of that cross.
Layer 2 — Context Scoring
Before the cross happens, the engine has been watching:
How long price spent on the other side ( duration )
How far it traveled away from the cluster ( excursion )
How tightly the anchors are compressed ( compression )
How much slope agreement exists across anchor families ( coherence )
Where price sits relative to the cluster edges ( clearance )
These components combine into a context score that answers: "Was the setup that led to this cross a good one?"
Context scoring is weighted — side positioning and slope carry the most influence, followed by compression and clearance, with duration and excursion providing secondary confirmation.
Layer 3 — Trigger Scoring
The crossing bar itself is evaluated for quality. A strong trigger bar:
Has a solid body (not a doji)
Closes near the directional extreme (close near the high for bulls, near the low for bears)
Shows force momentum aligned in the right direction
Has meaningful distance from the cluster
Represents a genuine cross rather than a wick touch
Each dimension is scored and blended into a trigger score.
Layer 4 — Regime and Features
The broader environment is assessed through Kalman-filtered features : relative volume versus its baseline, relative ATR versus its baseline, ADX trend strength, and price distance from the trend moving average. These are smoothed to reduce noise while preserving directional shifts.
Volatility regime awareness scales key thresholds automatically. In low-volatility environments, the engine tightens its excursion and distance requirements. In high-volatility environments, it loosens them. This prevents the indicator from being too sensitive in calm markets and too restrictive in active ones.
Layer 5 — Adaptive Analog Memory (KNN)
This is the differentiator. Every time a candidate signal is generated, the engine stores its five feature values (context, trigger, volume, ADX, trend distance) along with what actually happened over the following evaluation window. Did price hold above the cluster? Did it expand meaningfully? The outcome is recorded as a success or failure.
When a new candidate appears, the engine searches its memory for the most similar historical setups using a k-nearest-neighbors algorithm. Key details:
Features are normalized to equal scales using running statistics
Older samples receive exponentially decaying weights so the memory adapts as market behavior shifts
The KNN prediction is blended with the base confidence score
The memory learns and improves as it accumulates data on the specific instrument and timeframe
The memory requires a warmup period. Until enough resolved candidates have been recorded, the engine relies solely on the base scoring.
Putting It Together
The final confidence score blends the base score (context, trigger, regime, trend alignment) with the KNN analog prediction. The result is displayed as a percentage for both the bull and bear side. When confidence exceeds the threshold and beats the opposite side by a directional edge, a signal label appears on the price chart.
If a signal later fails to hold or expand, a small rejection marker ("x") appears on the chart — providing direct visual accountability.
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How To Use It
Reading the Pane
The indicator occupies its own pane below the price chart. Five elements are displayed:
Ribbon (top bar) — shows current state by color:
Gray = idle, Yellow = watching bull, Purple = watching bear, Aqua = armed bull, Fuchsia = armed bear, Green = bull signal, Red = bear signal
Dominant confidence line (thicker) — tracks the higher of the two side scores. When it rises above the confidence threshold line, a signal is likely imminent.
Bull and bear confidence lines (thinner) — show each side independently. Watching these diverge helps anticipate which direction will win.
Bias line — oscillates around 50. Above 50 = bull dominant. Below 50 = bear dominant.
Reading the Chart Labels
Green label with % — bull signal fired with confidence above threshold
Red label with % — bear signal fired
Dimmed green "x" — a bull signal was rejected (failed to hold or expand)
Dimmed red "x" — a bear signal was rejected
Higher percentages indicate stronger setups. Every signal is eventually graded pass or fail.
Reading the Dashboard
The dashboard in the bottom-right corner shows:
Bull and bear signal counts and win rates
Memory status (warming up or active with sample counts)
Current volatility regime (low, normal, or high)
Session status and bar count
Context and trigger score breakdown
Family coherence percentage
Force momentum direction
The win rate is the most important dashboard metric. Above 60% = well-calibrated. Below 45% = thresholds may need adjustment.
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Important Settings
Confidence Threshold (default: 65%)
The minimum confidence required for a signal label to appear. This is the primary sensitivity control . Lower = more signals with weaker setups. Higher = fewer, more selective signals.
Armed Threshold (default: 45%)
Minimum confidence for the ribbon to show an armed state (aqua/fuchsia). Acts as a pre-signal alert — when the ribbon transitions from watch to armed, a signal may be imminent.
Watch Threshold (default: 45%)
Minimum context score to enter watch mode (yellow/purple). Lower values start tracking setups earlier.
Directional Edge (default: 5.0)
Minimum gap between bull and bear confidence required for a signal. Prevents signals in ambiguous conditions where both sides score similarly.
Resolution Bars (default: 8)
How many bars after a signal the engine waits before grading it pass or fail. Shorter = more responsive grading. Longer = more forgiving.
Hold Outcome Ratio (default: 0.60)
Fraction of resolution bars price must stay on the correct side for a success grade. At 0.60 with 8 bars, price must hold for at least 5 of 8 bars.
Expansion Outcome Target (default: 1.00 ATR)
Minimum price expansion required for an alternative success grade. A signal can succeed by either holding position or expanding sufficiently .
Memory Decay Rate (default: 0.005)
How quickly older memory samples lose influence. Higher = more recency-biased. At default, recent samples carry roughly 2x the weight of samples from 140 bars ago.
History Size (default: 120)
Maximum resolved samples in analog memory. Larger = more context but more computation.
Session Settings
Configure to match the instrument's primary trading session. Default is 0930-1600 America/New_York (US equities and futures).
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What This Indicator Is Not
It does not predict price direction. It evaluates setup quality and follow-through probability.
It does not replace risk management . A 75% confidence signal can and will fail. The rejection markers exist to make this visible.
It does not work equally on all instruments without adjustment. The adaptive mechanisms handle much of the calibration automatically, but the confidence threshold may need tuning. The dashboard win rate provides the feedback loop.
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Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument.
All trading involves risk. Past performance of any signal, scoring system, or pattern recognition mechanism does not guarantee future results. The confidence percentages represent a statistical assessment based on the scoring model and historical analogs available within the loaded chart data. They are not predictions and should not be treated as certainties.
The adaptive analog memory learns from the chart data currently loaded in PulseWire. Its effectiveness depends on having sufficient resolved samples, and its learned patterns may not generalize to future market conditions, different instruments, or different timeframes.
The win rate displayed in the dashboard reflects performance on the loaded chart history only and is subject to survivorship bias, lookback bias, and data limitations inherent to backtesting on historical bars.
No indicator, algorithm, or model can account for all market variables including liquidity events, news-driven gaps, exchange outages, or sudden regime changes. Traders should always use independent risk management, position sizing, and their own judgment before entering any trade.
By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
Indicator
Hash Auto Fibonacci## Overview
Hash Auto Fibonacci eliminates the most time-consuming part of Fibonacci trading — drawing the levels yourself. Drop it on any chart and it automatically detects the most recent significant swing high and swing low, then instantly draws a complete Fibonacci retracement web anchored to those pivots. No manual drawing, no subjectivity, no missed setups.
Built for active traders who use Fibonacci as a core part of their strategy, this tool is engineered to keep up with fast-moving markets through a volatility-adaptive detection engine, a highlighted Golden Pocket zone, a built-in stop-loss reference, and optional multi-timeframe confirmation.
## Key Features
**Automatic Swing Detection**
The indicator uses a pivot-based algorithm to identify swing highs and lows in real time. A pink dot marks the swing high and a green dot marks the swing low on the chart — always showing only the current active pair, never cluttering your screen with historical markers.
**Dynamic Lookback Engine**
Rather than using a fixed lookback period, Hash Auto Fibonacci automatically adjusts its sensitivity based on current market volatility. During high-volatility conditions (fast trending moves, breakouts), the lookback shortens to detect swings quickly. During low-volatility conditions (consolidation, ranging markets), it lengthens to filter out noise and identify only meaningful pivots. This is calculated using the ratio of a 50-period ATR to a 10-period ATR, scaled by a user-adjustable multiplier. You can also switch to a fixed manual lookback at any time.
**Fibonacci Retracement Levels**
The following retracement levels are drawn automatically:
- 0 (swing high anchor)
- 0.236
- 0.382
- 0.5
- 0.618
- 0.65
- 0.786
- 1.0 (swing low anchor)
Optional extension levels (1.272, 1.618, 2.618) can be enabled for targets beyond the swing low.
**The Golden Pocket Zone**
The 0.618–0.65 confluence zone is highlighted as a gradient-filled amber band directly on the chart. This region — known as the Golden Pocket — is widely regarded as the highest-probability reversal zone within any Fibonacci retracement. The zone enforces an ATR-based minimum thickness so it remains visible even on assets with small absolute price ranges.
**ATR Stop-Loss Reference**
A dashed red line is automatically drawn below the swing low (bullish setup) or above the swing high (bearish setup) at a distance of 2× ATR-10. This gives a data-driven starting point for your stop-loss placement without requiring a separate indicator.
**Multi-Timeframe Confirmation**
When the current chart's swing pivot aligns within 0.5% of a confirmed pivot on a higher timeframe (default: 4H), the entire Fibonacci web is visually upgraded — lines become bolder, a confirmation badge appears, and an alert can be triggered. MTF-confirmed webs represent structurally significant levels that multiple timeframes agree on, which historically carry more weight as support and resistance.
**Direction Detection**
The indicator automatically determines whether the current setup is bullish (retracing upward from a low) or bearish (retracing downward from a high) by comparing which pivot — the high or the low — was confirmed most recently. You can override this manually if needed.
**Info Dashboard**
A clean navy dashboard in the corner of your chart displays:
- Current swing high and swing low prices
- 0.5 and 0.618 Fibonacci levels
- Golden Pocket price range
- Suggested ATR-based stop-loss price
- Active lookback period (and whether it's dynamic or manual)
---
## How To Use
**Basic setup**
Add the indicator to any chart. It works on all timeframes and all assets — crypto, stocks, forex, futures. The Fibonacci web draws automatically. The Golden Pocket zone is the primary area to watch for price reactions.
**Reading the chart**
- Price pulling back into the Golden Pocket (0.618–0.65 zone) in a bullish setup is the classic high-probability long entry zone
- Price rejecting from the Golden Pocket in a bearish setup is a potential short entry or profit-taking zone
- The 0.5 level acts as the midpoint — a close above (bullish) or below (bearish) confirms continuation of the retracement
- The 0.786 level is deep — a sweep past this level often signals the retracement is becoming a full reversal
**Using the stop-loss line**
The dashed red SL line is a reference, not a guaranteed stop placement. Use it as a starting point and adjust to your own risk tolerance. On volatile assets, consider placing your stop slightly beyond it to avoid wicks triggering your exit prematurely.
**Multi-timeframe confirmation**
When the ◆ MTF badge appears, the swing that anchors the current web also exists on the higher timeframe. These setups tend to produce cleaner reactions at Fibonacci levels because they represent areas where both short-term and institutional timeframe participants are watching the same price zone.
**Alerts**
Five alert conditions are available:
- New swing high detected
- New swing low detected
- MTF confirmation active
- Price entering the Golden Pocket
- Price at the 0.382 level
- Price at the 0.786 level
Set these in the Alerts panel to get notified without watching the chart constantly.
---
## Settings Reference
**Swing Detection**
| Setting | Default | Description |
|---|---|---|
| Dynamic lookback | On | Automatically adjusts pivot sensitivity based on volatility |
| Manual lookback | 10 | Fixed lookback used when dynamic mode is off |
| Dynamic multiplier | 9 | Controls the average lookback length in dynamic mode |
| Direction mode | Auto | Auto, Bullish, or Bearish override |
| Show swing markers | On | Displays pivot dots on the chart |
**Multi-Timeframe Confirmation**
| Setting | Default | Description |
|---|---|---|
| MTF confirmation | On | Enables higher timeframe pivot alignment check |
| HTF timeframe | 240 (4H) | The timeframe used for confirmation pivots |
**Fibonacci Levels**
| Setting | Default | Description |
|---|---|---|
| Retracement levels | On | Draws the standard 0–1 retracement web |
| Extension levels | Off | Adds 1.272, 1.618, 2.618 extension targets |
| Ratio labels | On | Shows ratio numbers next to each level |
| Golden Pocket zone | On | Highlights the 0.618–0.65 zone |
| ATR stop-loss line | On | Draws the 2× ATR stop reference |
**Info Table**
| Setting | Default | Description |
|---|---|---|
| Show info table | On | Displays the dashboard |
| Position | Top Right | Corner placement of the dashboard |
---
## Notes
- This indicator is an overlay — it draws directly on the price chart
- Works on all timeframes, all markets, and all asset classes available on PulseWire
- The dynamic lookback is calibrated on BTC/USDT 1H data and performs well across most liquid crypto and equity instruments
- Past Fibonacci levels do not guarantee future price reactions — use this tool as part of a broader trading system, not as a standalone signal
- This indicator does not repaint. Swing pivots are confirmed before being drawn and are not subject to change after confirmation
---
## By Hash Capital Research
Indicator
Swing Structure Forecast [BOSWaves]Swing Structure Forecast - Statistical Swing Projection System with Volatility-Adaptive Support and Resistance Detection
Overview
Swing Structure Forecast is a statistically-driven swing analysis system that maps directional price structure through confirmed pivot identification, where support and resistance zones construct automatically at each swing extreme and a probabilistic forecast beam projects the next swing leg using aggregated historical swing measurements.
Rather than applying fixed price targets, universal extension ratios, or lagging directional filters, zone boundaries, forecast direction, and projection magnitude are governed by structural pivot confirmation, ATR-proportioned zone sizing, and rolling statistical measurement of completed swing history across a configurable sample window.
This produces a continuously refreshed structural map alongside a data-grounded forward projection. Zones breathe with volatility cycles and forecasts are calibrated to the instrument's own measured behaviour rather than theoretical constants or fixed multiples.
Price is therefore assessed against structurally-anchored zones derived from confirmed swing pivots, with directional expectations built from the statistical record of prior completed legs rather than external reference points.
Conceptual Framework
Swing Structure Forecast is built on the premise that genuine support and resistance originate at confirmed swing extremes, and that the statistical character of completed swing legs contains meaningful information about the magnitude and duration of the move that will follow.
Standard projection methodologies apply predetermined ratios that treat every instrument and market condition as interchangeable. This framework instead extracts magnitude expectations from the instrument's own swing record, building an evidence base from recent completed legs and distilling it into a statistically-grounded projection originating at the current confirmed pivot.
Three core principles shape the design:
Support and resistance zones should originate at structurally confirmed swing highs and lows, not at indicator crossovers, arbitrary distances, or price patterns lacking pivot confirmation.
Zone width must respond to prevailing volatility, expanding proportionally when ATR is elevated and compressing when market conditions quieten.
Forecast targets and projection uncertainty should be derived from the distribution of the instrument's own recent swing history, with variability expressed visually rather than hidden behind a single projected level.
This repositions price structure work from passive historical reference into an active, instrument-specific projection framework that updates with each new confirmed swing.
Theoretical Foundation
The indicator unifies structural pivot detection, ATR-responsive zone construction, rolling statistical aggregation, and Fibonacci extension mapping.
Swing highs and lows are established through a rolling highest/lowest comparison across a configurable lookback window, accepting only pivots surrounded by sufficient structural confirmation on both sides. A 200-period ATR provides a slow-moving, stable volatility reference that scales zone thickness and beam width proportionately across varying instruments and timeframes. Completed swing percentages and durations populate a rolling sample array, with three aggregation modes — weighted, average, and median — giving users direct control over how heavily recent legs are weighted against older history. Standard deviation across this sample governs beam width, producing narrow projections when swing history is consistent and widening the beam when prior legs have varied significantly in magnitude.
Four internal systems work in coordination:
Pivot Detection Engine : Confirms swing highs and lows through multi-bar structural comparison, withholding confirmation until price movement validates the extreme and eliminating repainting.
Zone Construction System : Builds dual-layer ATR-proportioned boxes at each confirmed pivot, applying progressive opacity reduction with age and monitoring for structural breach events.
Forecast Engine : Processes the rolling swing sample through the selected statistical method and casts the next projected leg as a smoothed cone beam originating at the current pivot, scaled by historical variance.
Fibonacci Extension System : Deploys individually toggleable extension levels beyond the primary forecast target, each with a fully configurable ratio for defining continuation objectives.
This structure keeps the structural map and forward projection permanently coupled, refreshing in unison whenever a new swing confirms.
How It Works
Swing Structure Forecast processes price through a structured sequence of pivot-aware operations:
Pivot Confirmation : Bar highs and lows are continuously compared against a rolling window of configurable length. A swing high locks in once price retreats sufficiently from the peak; a swing low locks in once price advances sufficiently from the trough, ensuring no repainting occurs.
Zone Placement : A dual-layer box anchors at each confirmed pivot. An outer boundary encloses the broader reaction area and an inner zone concentrates the higher-probability interaction region.
Age-Based Fading : Zone opacity diminishes progressively as elapsed bars accumulate since formation, weighting recent structural levels visually above older historical context.
Breach Detection : A close beyond a zone's anchor level triggers conversion to a dotted outline and initiates an automatic removal sequence, purging invalidated structure from the chart.
Swing Recording : Each completed leg is logged as a percentage magnitude and a bar duration into the rolling sample array, capped at the user-defined sample count with oldest entries discarded first.
Statistical Aggregation : The selected method, weighted, average, or median, resolves the sample into an expected magnitude and duration for the forthcoming swing leg.
Beam Construction : A three-layer cone extends forward from the current pivot anchor using smoothstep-eased interpolation, with width proportional to sample standard deviation and opacity grading across nested layers.
Target Zone : A bounding box placed at the beam terminus presents the projected price level and expected percentage move, with box height communicating the degree of forecast uncertainty.
Fibonacci Extensions : Configurable ratio levels project beyond the primary target, establishing pre-mapped objectives for continuation moves that exceed the base projection.
These processes collectively sustain a live structural framework and a statistically-grounded projection that regenerates with every newly confirmed swing pivot.
Interpretation
Swing Structure Forecast should be read as a structural boundary map combined with a probabilistic directional projection:
Support Zones (Green) : Constructed at confirmed swing lows, marking price regions where prior downside pressure exhausted and upward reversals originated.
Resistance Zones (Red) : Established at confirmed swing highs, identifying areas where prior upside pressure stalled and downward reversals began.
Zone Opacity : Communicates structural age. Vivid zones reflect recent pivot formation; subdued zones represent older levels retained for broader historical context.
Broken Zones : Transition to faint dotted outlines on breach, preserved as reference markers without visually competing with structurally intact levels.
Forecast Beam : Extends forward from the most recently confirmed pivot, projecting the statistically expected next leg. Cone width encodes uncertainty drawn from sample variance.
Narrow Beam : Prior swing history shows consistent magnitude, indicating relatively high projection confidence.
Wide Beam : Prior swing history shows significant variability, indicating greater uncertainty and warranting additional confirmation before acting.
Target Zone and Label : Mark the statistically derived price destination alongside expected percentage move and absolute price level.
Fibonacci Extensions : Pre-mapped levels beyond the primary target defining structured continuation objectives for extended directional moves.
Path Markers : Dot markers positioned along the beam centerline with opacity fading toward the target, conveying projected trajectory and directional progression.
Structural context, beam width, and sample consistency are more significant than any individual projected value in isolation.
Signal Logic and Visual Cues
Swing Structure Forecast operates through two principal visual frameworks:
Structural Zones : Continuously maintained support and resistance boxes anchored at confirmed pivots. Intact zones carry unbroken structural relevance; broken zones document levels that price has already closed through and structurally dismissed.
Forecast Beam : Repositions automatically on every new swing confirmation, simultaneously refreshing the beam geometry, target zone, path markers, and Fibonacci extensions to reflect the updated pivot origin and current statistical aggregation.
Alert conditions trigger on confirmed swing high and swing low events, supporting systematic structural monitoring without requiring active chart observation.
Strategy Integration
Swing Structure Forecast applies across structure-based, mean-reversion, and trend-continuation trading methodologies:
Structure-Referenced Entries : Treat intact zones as interaction boundaries for entry decisions, assigning greater weight to recently formed levels over aged, heavily faded structure.
Instrument-Calibrated Targets : Use the statistical projection as a primary take-profit reference built from the instrument's own measured swing history rather than applied universal ratios.
Beam Width Conviction Scaling : Adjust confirmation requirements relative to current beam width. Wide beams call for additional validation before committing; narrow beams reflect historically stable swing magnitude.
Fibonacci Continuation Planning : Reference extension levels beyond the primary target when trending conditions suggest the initial projection may be exceeded.
Broken Zone Flip Monitoring : Track recently breached zones as candidate reversal levels where former support may transition to resistance and vice versa following structural invalidation.
Multi-Timeframe Structural Context : Reference higher-timeframe zones as macro boundaries while applying lower-timeframe forecast projections for entry precision and target identification.
Sample Population Patience : Defer high-conviction treatment of projection outputs until the sample window has accumulated sufficient completed swings, particularly on instruments or timeframes with limited history.
Technical Implementation Details
Core Engine : Rolling highest/lowest pivot detection with configurable lookback and no-repaint confirmation logic
Zone Construction : Dual-layer ATR-proportioned boxes with progressive opacity fading, breach detection, and automatic invalidation removal
Statistical Model : Weighted, average, or median aggregation across configurable rolling sample with standard deviation uncertainty scaling
Forecast Geometry : Smoothstep-eased three-layer polyline beam with standard deviation width scaling and graduated opacity
Target Visualisation : Projection label with percentage move and price level enclosed by uncertainty-proportioned target box
Fibonacci System : Five independently toggleable extension levels with fully configurable ratios
Alert Coverage : Swing high confirmation and swing low confirmation events
Performance Profile : Optimised for real-time execution across all timeframes with configurable zone capacity and sample limits
Optimal Application Parameters
Timeframe Guidance:
1 - 15 min : Near-term swing structure with short-horizon projection for intraday approaches
1H - 4H : Intraday to multi-session structural mapping with intermediate forecast range
Daily - Weekly : Macro swing structure identification with extended projection targets
Suggested Baseline Configuration:
Swing Length : 16
Zone Width (ATR) : 0.3
Max Level Age : 300 bars
Samples : 20
Method : Weighted
Forecast Bars : 5
Fib Extensions : 1.0, 1.272, 1.618 active
These suggested parameters serve as a starting baseline; their effectiveness varies with the instrument's volatility profile, characteristic swing cadence, and preferred zone density, so incremental adjustment across multiple session types is recommended before drawing performance conclusions.
Parameter Calibration Notes
Apply the following refinements to adjust behaviour without modifying core logic:
Zones too wide : Lower Zone Width (ATR) to narrow zone boundaries, particularly on lower timeframes where ATR values produce oversized zones relative to typical price movement.
Too many zones forming : Raise Swing Length to impose stricter structural requirements before a pivot qualifies for zone creation.
Beam excessively wide : Sample history contains high variance. Raise Samples to dilute outlier legs or switch to Median to limit their influence on the projected magnitude.
Projection slow to reflect recent behaviour : Lower Samples or switch to Weighted method to concentrate projection weight on the most recently completed swing legs.
Significant pivots going undetected : Lower Swing Length to increase sensitivity and qualify shorter structural moves as confirmed pivots.
Forecast visual range misaligned with chart : Modify Forecast Bars to adjust how far projection visuals extend rightward without altering the underlying price target calculation.
Stale levels persisting on chart : Reduce Max Level Age to accelerate removal of older unbroken zones, keeping structural reference anchored to recent pivot history.
Adjustments should be applied incrementally and assessed across varied session conditions rather than calibrated against a single market period.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic swing sequences with clearly defined structural turning points
Instruments where volatility follows identifiable expansion and contraction patterns that ATR captures proportionately
Trend-continuation approaches targeting measured extensions derived from the instrument's own swing record
Mean-reversion strategies using confirmed structural zones as primary entry and exit reference boundaries
Reduced Effectiveness:
Directionless, low-conviction conditions generating frequent shallow pivots that populate the sample with structurally insignificant measurements
Event-driven or gap-heavy sessions producing swing magnitudes that are unrepresentative of normal instrument behaviour
Instruments with erratic or non-stationary volatility profiles where ATR-based proportioning loses consistency
Early sessions on a given timeframe before sufficient completed swings have accumulated to produce statistically reliable projections
Integration Guidelines
Confluence : Pair with BOSWaves volume tools, order flow indicators, or broader market structure analysis to reinforce zone and forecast interpretation
Sample Discipline : Reserve high-conviction treatment for projections generated once the sample window is fully populated with completed swings
Breach Acceptance : Treat breached zones as structurally void and resist anchoring expectations to levels price has already invalidated with a closing breach
Beam Width Respect : Read a wide beam as a requirement for additional confirmation before acting, not permission to disregard the projection entirely
Directional Consistency : Sustain bias aligned with the current forecast direction until a newly confirmed swing pivot shifts the projection origin
Timeframe Confluence : Highest-quality structural setups emerge when active zones and forecast direction correspond across multiple timeframes simultaneously
Disclaimer
Swing Structure Forecast is a professional-grade swing structure and statistical forecasting tool. All projections are derived from historical swing behaviour and represent probabilistic expectations rather than assured outcomes. Performance depends on the consistency of prior swing history, prevailing market conditions, parameter selection, and disciplined application. BOSWaves recommends deploying this indicator as one component within a comprehensive analytical framework incorporating trend context, volume analysis, and rigorous risk management practices. Indicator
A1 Value Turn Triple Mode v2.3 (Swing + Crypto)# A1 Value Turn Triple Mode v2.3 — Swing + Crypto
## Overview
The A1 Value Turn is a multi-layer confluence indicator designed to identify high-probability mean reversion entries on quality stocks and crypto assets that have pulled back significantly from their 52-week highs. It combines value band detection, moving average proximity, RSI momentum, volume confirmation, sector rotation, and IV rank filtering into a single signal system with a built-in 3-leg exit ladder.
Built for swing traders and options traders targeting 60–90 DTE calls or verticals on A-grade companies trading at a discount.
---
## How It Works
### 4-Layer Signal Gate
A full signal only fires when ALL four conditions align:
1. **Value Band** — Price is 40–60% (or 60–80% in Deep mode) below its 52-week high
2. **MA Proximity** — Price is within a configurable % of the 200-period SMA
3. **RSI Turn** — RSI is within the mode-specific range AND curling upward from the prior bar
4. **Volume Surge** — Current volume is at least 1.3x the 20-day average
Plus two optional confirmation layers:
- **Sector ETF confirmation** — The selected sector ETF RSI is also curling up and price is above its 50 MA
- **IV Rank filter** — Historical volatility rank is below your threshold, ensuring you are not overpaying for options premium
---
## Three Modes
| Mode | Value Band | RSI Range | Vol Mult | Target 1 |
|---|---|---|---|---|
| 40–60% off High (Swing) | 40–60% below 52W high | 40–70 | 1.3x | +20% |
| 60–80% off High (Deep) | 60–80% below 52W high | 35–70 | 1.3x | +35% |
| Crypto-Linked | Any | 25–75 | 1.1x | +50% |
---
## 3-Leg Exit Ladder
Every signal automatically calculates three exit targets with live R:R ratios:
- **Target 1** — Mode-specific % gain from entry (scale out 1/3)
- **Target 2** — 2x Target 1 (scale out 1/3)
- **Target 3** — The actual 52-week high (full recovery, scale out final 1/3)
Each target plots as a dashed horizontal line anchored to the signal bar. The ATR-based stop loss plots simultaneously so you know your risk before you enter.
---
## Signal States on the Chart
| Shape | Color | Meaning |
|---|---|---|
| Large triangle below bar | Mode color (aqua/orange/purple) | All layers confirmed — entry signal |
| Small triangle below bar | Faded orange | Stock + sector ready, IV rank too high — wait |
| Small triangle below bar | Faded gray | Stock + IV ready, sector not confirmed — wait |
| Gold circle above bar | Yellow | Bullish RSI divergence confluence bonus |
| Bar background tint | Mode color | Full signal bar highlight |
---
## Signal Label
Each confirmed signal prints a label showing:
- Entry price
- Target 1, 2, and 3 with % gain and R:R ratio per leg
- ATR stop loss price
- HV Rank % and current VIX reading
- Sector ETF RSI
- % off 52-week high, RSI, and volume ratio
---
## IV Rank Filter (New in v2.3)
Since PulseWire does not provide live options IV data in Pine Script, this indicator uses Historical Volatility Rank — the annualized standard deviation of daily log returns measured against its own 52-week high and low range. HV Rank and IV move together closely enough that HV Rank is the standard professional proxy used in Pine-based systems.
A separate VIX macro threshold adds a second layer — if the market fear index is above your set level, signals are suppressed regardless of individual stock HV.
When IV is too high, a pending orange triangle fires with a label showing exactly what threshold to wait for.
---
## Inputs
### Core Settings
- Lookback for 52W High (bars)
- Long MA Length
- RSI Length
- Max % Distance from MA
- Mode selection
### Display
- Show/hide table, labels, stop line, Target 2, Target 3
- ATR Length and Multiplier for stop calculation
### IV Rank Filter
- Enable/disable IV filter
- Max HV Rank % (default 50)
- Enable/disable VIX threshold
- Max VIX level (default 25)
### Sector Rotation
- Enable/disable sector confirmation
- Sector ETF ticker (XLK, XLV, XLF, XLY, etc.)
- Sector ETF MA length
---
## Alerts
Four alert conditions built in:
1. **Full Signal** — All layers confirmed, ready to enter
2. **Pending IV** — Stock and sector ready, waiting for IV to cool
3. **Pending Sector** — Stock and IV ready, waiting for sector confirmation
4. **Max Confluence** — Full signal AND bullish RSI divergence
---
## Recommended Use
1. Run a Finviz scan each morning filtering for large caps 40–80% off their 52-week high with above-average volume
2. Open each candidate in PulseWire with this indicator applied
3. Set your sector ETF to match the stock's sector
4. Wait for a full signal (large colored triangle)
5. Use the label to size your 60–90 DTE options position using the printed R:R ratios
6. Scale out 1/3 at each target
Best results on daily timeframe. Works on weekly for longer-horizon setups.
---
## Notes
- This indicator is for educational and informational purposes
- Past signals do not guarantee future results
- Always use proper position sizing and risk management
- HV Rank is a proxy for IV, not actual options implied volatility
---
*Built by MOR Trading Systems* Indicator
Adaptive Trend Impulse Channel [TechnicalZen]Adaptive Trend Impulse Channel
User Guide and Interpretation Manual
A practical guide to reading the indicator as a map of impulse, deceleration, continuation, and structural reset.
Core idea
This indicator does not assume price moves in one smooth trend. It assumes markets typically move in impulses, then lose urgency, then either continue with another impulse, stall and re-center, or reverse. The channel is designed to visualize that rhythm.
High-level chart view of the indicator on a real instrument
Figure 1. High-level chart view of the indicator on a real instrument — Recommended image: a full-chart screenshot with the midline, bands, fill, regime markers, and retest markers visible.
1. What the indicator is trying to model
Most channels are built as a rolling average plus or minus some volatility measure. That works reasonably well, but it treats price as if it travels in a smooth and nearly continuous way. Real markets are usually messier and more alive than that. They tend to push in bursts, pause, compress, pull back, re-accelerate, and only then settle into a new local structure.
The Adaptive Impulse Channel is more realistic because it treats the chart as a sequence of structural phases. A strong move can create a new segment. A continued push can step that segment further. A tired phase can refresh the structure without fully reversing it. In other words, the indicator is trying to map the market as a living auction, not as a single drifting average.
Why that matters for traders
Traders do not usually ask whether price is merely above or below an average. They ask whether the move is real, whether it is still forceful, whether the market is tiring, and whether a pullback is a healthy retest or a sign of structural failure.
2. Why impulse and deceleration are close to price-action reality
Markets move when imbalance appears. Buyers temporarily overpower sellers, sellers overwhelm buyers, trapped traders cover, breakout participants pile in, or fresh information causes rapid repricing. That is the impulse phase. Yet that intensity rarely stays constant forever. Participation thins, profit-taking appears, fresh orders become harder to find, and the move starts to lose urgency. That is deceleration.
This indicator mirrors that logic. It re-anchors the channel when a meaningful structural event occurs, then lets the active segment decay rather than pretending the move should continue in a perfect straight line. That design choice is one of the reasons the tool often feels more intuitive than a standard envelope. It respects the fact that momentum must be renewed; it is not a permanent birthright bestowed by one strong candle.
• Impulse: price escapes the active structure with conviction.
• Deceleration: the new structural guide does not accelerate forever; it gradually loses urgency.
• Continuation: a fresh burst can ratchet the structure again in the same direction.
• Refresh: if the old segment becomes stale or detached, the indicator can locally re-center without forcing a full reversal.
Annotated impulse → deceleration → continuation sequence
Figure 2. Annotated impulse → deceleration → continuation sequence — Recommended image: one clear trend leg with a breakout, a pause, a continuation step marker, and a later pullback or refresh.
3. What you actually see on the chart
Mid line
The mid line is the organizing rail of the current structural phase. In Lead mode it behaves more like projected support or resistance; in Follow mode it behaves more like an adaptive center of gravity. Either way, it is the most important visual guide in the channel.
Upper and lower bands
The bands define the current accepted motion envelope. A small touch is not enough to change the market story. But when price pushes beyond them with enough force and enough confirmation, the script can interpret that as a new regime or a fresh continuation step.
Gradient fill
The fill helps the eye understand zone depth instead of only line location. It makes it easier to judge whether price is living comfortably inside structure, leaning hard against the edge, or forcing its way outside the channel.
Markers
Triangles identify true bullish or bearish regime flips. Circles mark continuation steps. Smaller retest markers identify quieter interactions with the active bands. Optional refresh markers show when the script locally re-centers the segment without calling a full directional reversal.
4. How to read the indicator in practice
Bullish regime flip
A bullish regime flip tells you the prior structure was overcome decisively enough that the script believes a new bullish phase has started. This is not a blind buy instruction. It is evidence that the market has likely changed character. The next question is whether price can hold the new structure on a pullback or retest.
Bearish regime flip
A bearish regime flip means the downside push was strong enough to invalidate the previous structure. This often matters more than a simple moving-average cross because the indicator is demanding displacement beyond the active channel, not merely a small drift below a smoothed line.
Continuation steps
Continuation steps are often the most useful events. They tell you the current regime is not merely surviving; it is reasserting. In a healthy trend the market often moves as burst, hold, burst again. These step markers help visualize that staircase behavior.
Refresh events
Refresh events are quieter but valuable. They mean the old segment became stale or too detached from local structure, so the script re-anchors without declaring a full directional reversal. That is a very realistic behavior because markets often reorganize before they make a dramatic statement.
Retests
Retests show interaction with the outer band during an existing regime. They matter because the flashy breakout is only half the story. The retest reveals whether the market can actually defend the new structural area. Many strong trends are built on exactly that sequence.
Bullish regime flip followed by a successful retest
Figure 3. Bullish regime flip followed by a successful retest — Recommended image: show the flip marker, the new segment, and a later lower-band retest that holds before continuation.
5. Lead mode versus Follow mode
Lead mode places the mid line on the opposite side of price pressure and lets it behave more like projected support or resistance. It is usually the better choice when you want the channel to feel structural and forward-looking rather than simply reactive.
Follow mode blends re-anchoring toward the local basis and behaves more like a dynamic tracking channel. It generally feels smoother and more classical. Traders who prefer channels to hug price action more gently often prefer this mode.
• Choose Lead when you care most about structure, pressure, and projected support or resistance.
• Choose Follow when you want a steadier, more mean-centered channel that tracks ongoing motion more closely.
Side-by-side comparison of Lead mode and Follow mode
Figure 4. Side-by-side comparison of Lead mode and Follow mode — Recommended image: same symbol and timeframe, same region of chart, with two screenshots that show the difference in midline behavior.
6. Settings guide
The easiest way to think about the logic settings is to divide them into five groups: sensitivity, confirmation, structural maintenance, event size, and channel shape. The tables below are written in trader language rather than coding language.
Sensitivity and confirmation
Setting How to think about it
ATR Length Sets the volatility measuring tape used throughout the channel. Higher values make the indicator less reactive to short-term noise.
Local Basis Length Controls how quickly the local structural center adapts. Lower values follow price faster; higher values smooth more.
Flip Threshold Beyond Band How far price must push outside the channel before a new regime can be declared.
Continuation Threshold Beyond Band How far price must extend in the same direction before the channel ratchets higher or lower.
Confirmation Bars Number of consecutive qualifying bars needed before a flip or continuation is accepted.
Structural maintenance, event size, and channel shape
Setting How to think about it
Cooldown Bars Minimum pause after an event so the indicator does not re-fire immediately.
Max Segment Age Maximum life of one structural segment before the script is allowed to refresh it.
Detach Threshold / Detach Bars Refresh control that re-centers the channel when its midline drifts too far from the local basis for too long.
Re-anchor Blend To Local Basis In Follow mode, determines how strongly the new segment leans back toward the local basis.
Step Size On Event How large the structural jump is when a continuation or regime flip occurs.
Adverse Slope Per Bar The built-in deceleration rate. Higher values make the post-impulse segment decay faster.
Base Half-Width / Local Spread Multiplier / Max Half-Width Controls channel thickness using ATR plus local spread, with a cap to prevent absurd expansion.
Mid Line View: Lead vs Follow Lead behaves like projected support/resistance. Follow behaves like a more classical adaptive channel.
7. Visual settings guide
The style controls do not change the trading logic, but they strongly affect readability. Good styling matters because an indicator that is technically correct but visually muddy will slow decision-making when the chart is moving fast.
Style control Purpose
Show Fill / Show Band Edges Turns the channel body and band outlines on or off. Helpful when you want either a clean structure view or a fuller visual guide.
Show Retests Displays quiet interaction markers when price retests the active band.
Show Regime Change Markers Shows only true bullish or bearish flips, not every structural refresh.
Show Continuation Step Marks Highlights staircase-style re-impulses inside an existing regime.
Show Refresh Marks Displays maintenance resets when the channel goes stale or detached.
Show Segment Cap Lines Vertical segment separators that show where one structural phase ended and the next began.
Connect Segment Endpoints Connects new segments into one continuous-looking ribbon. Turning this off makes the segmentation more visible.
Mid Glow Width / Mid Main Width / Band Edge Width Visual emphasis controls that help the channel read clearly on different chart backgrounds.
Gradient Colors and Transparencies Purely visual. Use them to improve contrast and make the active regime easier to read quickly.
8. Where the indicator tends to shine
• Trend days, especially when price alternates between expansion and pullback.
• Breakout continuation setups where you want to see whether the move is stepping rather than merely drifting.
• Swing trends with visible impulse legs and orderly retests.
• Markets where support and resistance behave like evolving zones rather than fixed horizontal lines.
Where it is less magical
• Hyper-choppy noise where every small breakout immediately fails.
• News whipsaw environments where structure is repeatedly invalidated in both directions.
• Very tight low-volume ranges where the market is not producing meaningful impulse-decay behavior at all.
Healthy expectation
This indicator is a structural lens, not a prophecy machine. It helps answer: What regime am I in? Is the move still forceful? Did the market just reload? Has the structure gone stale? Those are excellent questions. They are not the same thing as guaranteed entries or exits.
9. Practical workflow for using it
• Start by identifying the current regime: bullish, bearish, or neutral.
• Check whether price is respecting the active channel or constantly violating it.
• Watch for continuation steps; they often tell you more about trend health than the first flip does.
• Use retests to judge whether the new structure is being defended.
• Treat refreshes as re-centering events, not as instant reversal calls.
• Always confirm with context: market regime, volume, higher timeframe structure, and instrument personality.
Continuation staircase inside a healthy trend — Recommended image: a chart with multiple continuation step marks and a channel that ratchets in the trend direction.
10. Limitations and best practices
The model is grounded, but it is still a model. It does not know hidden liquidity, macro headlines, dealer positioning, or whether a single market-moving order is about to smash the structure sideways. Its job is to describe price behavior in a disciplined way, not to replace judgment.
• Do not treat every marker as a trade signal in isolation.
• Avoid over-tuning the settings on one symbol until the script fits past noise too perfectly.
• Remember that a strong indicator can still struggle when the market itself has no clean structure.
• Use screenshots and replay study to learn the difference between healthy continuation and late-stage exhaustion.
Example of a weak environment: choppy market with poor structural follow-through
Figure 6. Example of a weak environment: choppy market with poor structural follow-through — Recommended image: a sideways region showing why the channel is less useful when impulse-decay behavior is absent.
11. Suggested images to insert later
This document already includes figure placeholders. If you want to turn it into a polished final manual, the best image set would include six screenshots: a full high-level chart, an impulse-deceleration-continuation sequence, a regime flip plus retest example, a Lead-versus-Follow comparison, a multi-step continuation trend, and one failure example from a choppy market. Those six images usually tell the whole story clearly.
Image support
I can insert real screenshots into these placeholders if you upload them. The cleanest approach is to provide PNG screenshots with the instrument, timeframe, and any annotations you want preserved.
Indicator
Indicator
Liquidity Sweep Rider Institutional HFT Grabber Liquidity Sweep Rider Strategy (Swing Pivot + Volume Filter)
Publication Description:
This is an open-source Pine Script v6 strategy that identifies potential liquidity sweep patterns around confirmed swing highs and lows.
It uses:
Pivot points (ta.pivothigh / ta.pivotlow) to mark historical swing levels where orders (such as stops or pending entries) often cluster.
A volume filter requiring above-average volume (SMA-based with multiplier) on the sweep candle to highlight stronger moves.
Classic sweep logic: price wicks beyond the level but closes back inside, suggesting a possible reversal after liquidity is taken.
Entry rules:
Long: after a downside sweep below a recent swing low (with volume condition).
Short: after an upside sweep above a recent swing high (with volume condition).
Features include:
Optional toggles to enable/disable long/short directions.
ATR-based stop-loss and take-profit (configurable multipliers and risk-reward ratio).
Visual plots for liquidity levels, entry signals, background highlights, and an info table.
Alert conditions for long/short triggers.
Important notes:
This is an educational/example script for backtesting and learning.
Past performance does not indicate future results. Trading involves significant risk of loss — use proper risk management and never risk more than you can afford to lose.
No guarantees of profitability are made. Always test thoroughly on demo accounts before live use.
Customize parameters (pivot lengths, volume multiplier, ATR settings) based on the instrument and timeframe you trade. Works on various markets/timeframes but performs differently depending on liquidity and volatility.
Feel free to fork/modify the code. Feedback and improvements are welcome!
(≈ 3–4 paragraphs, clear, educational, includes risk disclaimer, explains logic + usage without hype.) Strategy
Adaptive Regime Compass MovingAverage SuiteSummary in one paragraph
Regime Compass Adaptive MA Suite is a three speed adaptive moving average indicator for liquid markets on intraday through daily charts. It helps you act only when price position, MA stack structure, reliability, and higher timeframe context align. It is original because it fuses robust outlier handling with efficiency driven adaptive smoothing, then compresses multi timeframe confirmation into a single compact panel plus directional reliability shading.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto, and liquid commodities
• Timeframes. One minute through daily
• Default demo used in the publication.SPY 1h
• Purpose. Provide a practical trend context layer that adapts to regime and reduces false confidence during chop by exposing a reliability score and multi timeframe agreement
• Limits. This is an indicator. It does not place orders and does not simulate fills
Originality and usefulness
This is not a mashup of standard MAs. It is a single adaptive engine expressed at three speeds, plus a reliability model and a multi timeframe state panel.
• Unique concept or fusion. Robust input conditioning plus efficiency ratio driven adaptive alpha plus a reliability score that requires both structure and strength, projected across three higher timeframes with a consensus read
• What failure mode it addresses. Single bar spikes that poison classic smoothers, and false trend impressions during low efficiency chop where fixed length MAs keep crossing
• Testability. All behaviors are controlled in Inputs and echoed in the table so users can see why the state is bullish, bearish, or mixed and tune accordingly
• Portable yardstick. Efficiency ratio is dimensionless, so it generalizes across symbols and tick sizes. Slope strength is normalized by recent average absolute slope to reduce symbol dependence
Method overview in plain language
Base measures
Return basis. The engine measures directionality with an efficiency ratio, defined as absolute net change over a window divided by the sum of absolute bar to bar changes over the same window. Values closer to 1 indicate directional movement. Values closer to 0 indicate noise.
Range basis. Optional robust clipping uses a rolling mean and a scaled mean absolute deviation of price around that mean to define a dynamic clamp band for extreme bars.
Components
• Robust Clip. Optional step that clamps extreme deviations of the input series so single spikes do not disproportionately shift the MA state. Use it on wick heavy markets or news driven sessions. Disable it if you want raw sensitivity.
• Adaptive Alpha Core. The smoothing rate adapts between a fast and slow anchor using the efficiency ratio. In directional regimes the MA accelerates. In noisy regimes it slows down.
• Base Length Shaping. A second light smoothing stage ties each line to its fast, medium, or slow horizon so the trio remains coherent instead of behaving like three unrelated formulas.
• Zero Lag Assist. Optional phase compensation that slightly pulls the line toward its recent direction to reduce lag. It is strongest on the fast line and tapered on medium and slow. Disable it if you prefer maximum stability in chop.
• Reliability Score. A composite confidence estimate built from medium efficiency, MA stack coherence, and normalized medium slope strength. It is designed as a gating variable, not as a prediction.
Fusion rule
The three lines are produced by the same adaptive engine with different base lengths. The adaptive alpha uses the efficiency ratio to interpolate between the fast and slow anchors, then squares the result to damp small changes, similar in spirit to classic adaptive averages but implemented as a coherent three speed suite. Reliability is a weighted composite of:
• medium efficiency as the directionality signal
• a stack coherence score that is true when Fast is above Medium and Medium is above Slow, or the symmetric bearish condition
• medium slope strength normalized by recent average absolute slope
Signal rule
This script does not print buy or sell markers. It provides context states.
• Bullish structure is present when Fast is above Medium and Medium is above Slow
• Bearish structure is present when Fast is below Medium and Medium is below Slow
• Reliable regime shading is shown only when reliability is at or above the threshold and structure is consistently bullish or bearish
• Higher timeframe Trend in the table is Up when higher timeframe close is above its higher timeframe Medium and the higher timeframe Medium slope is positive. Down is the symmetric condition. Otherwise it is Neutral
What you will see on the chart
• Three adaptive MA lines: Compass Fast, Compass Medium, Compass Slow
• Optional line coloring: green when close is above the line, red when close is below
• Optional background shading: green for reliable bullish structure, red for reliable bearish structure
• Compact higher timeframe panel in the top right
Table fields and quick reading guide
Table columns use short labels.
• TF. The timeframe used for the row
• TREND. Up, Down, or Neutral on that higher timeframe using close versus Medium plus Medium slope sign
• C VS MED. Whether the higher timeframe close is above or below its higher timeframe Medium
• STACK. Two relationships shown together: F>M or FS or M Indicator
Indicator
Indicator
Swing Structure Bands [ChartPrime]⯁ OVERVIEW
Swing Structure Bands is a structure-based trend and reaction indicator that builds adaptive price bands directly from swing highs and swing lows.
Instead of using fixed-length moving averages, the bands dynamically adjust their length based on how long price has been forming higher highs or lower lows, allowing the indicator to naturally align with real market structure.
This makes the tool especially effective for identifying swing-based support and resistance, trend continuation zones, and exhaustion reactions.
⯁ CORE CONCEPT
The indicator continuously tracks:
The most recent swing high and swing low over a configurable swing window.
How long price has been developing since each swing point.
Dynamic moving averages whose length grows with the swing itself.
As long as price respects the current swing direction, the bands extend and adapt.
When structure breaks, the system resets and starts forming new swing-based bands.
⯁ SWING DETECTION LOGIC
A Swing High is detected when price forms a local maximum relative to the swing lookback.
A Swing Low is detected when price forms a local minimum relative to the swing lookback.
Direction flips when price transitions from forming highs to forming lows, or vice versa.
Each confirmed swing is marked on the chart, giving clear structural context.
⯁ ADAPTIVE BAND CONSTRUCTION
Upper bands are derived from swing highs.
Lower bands are derived from swing lows.
Band length dynamically increases as the swing develops.
Multiple MA types can be used (SMA, EMA, SMMA/RMA, WMA, VWMA).
ATR is applied as an offset to create upper and lower envelopes around each band, forming a volatility-aware structure channel.
⯁ VOLATILITY FILTERING
If the band moves too aggressively relative to ATR, it is temporarily disabled.
This prevents unstable or noisy bands during sudden expansions.
Bands only remain active when price structure is stable.
This logic keeps the indicator focused on meaningful swings rather than short-term spikes.
⯁ REACTION & SIGNAL LOGIC
Sell signals appear when price crosses down from the upper swing band after sufficient stabilization.
Buy signals appear when price crosses up from the lower swing band after sufficient stabilization.
Cooldown logic prevents signal clustering.
Signals are designed as structure reactions , not momentum breakouts.
⯁ VISUAL STRUCTURE CLARITY
Separate bullish and bearish bands with customizable colors.
Optional band envelopes for visual depth.
Clear swing labels marking structural turning points.
Diamond markers highlight reaction zones.
The visualization emphasizes where price reacts to structure rather than where it accelerates.
⯁ HOW TO USE
Use upper bands as dynamic resistance during bearish or corrective phases.
Use lower bands as dynamic support during bullish phases.
Combine band reactions with higher-timeframe trend direction.
Look for confirmations near bands rather than mid-range entries.
The indicator works best as a structure framework rather than a standalone signal generator.
⯁ IDEAL MARKET CONDITIONS
Trending markets with clear swing development.
Markets transitioning from impulse to correction.
Crypto, forex, indices, and liquid stocks.
⯁ CONCLUSION
Swing Structure Bands offers a structurally grounded alternative to traditional moving average channels.
By anchoring bands to real swing behavior and adapting dynamically over time, it provides traders with a clearer view of where price is reacting, pausing, or potentially reversing within the broader market structure.
Indicator
Support & Resistance Automated📌 Support and Resistance Automated (Pivot-Based)
Support and Resistance Automated is a lightweight and fully automated indicator that plots key support and resistance levels using pivot highs and pivot lows. It helps traders quickly identify important price reaction zones without manual drawing.
This indicator is especially useful for price-action traders, swing traders, and intraday traders who rely on clean charts and objective levels.
🔍 How It Works
Pivot Highs → Resistance Levels
Pivot Lows → Support Levels
Each detected pivot creates a horizontal dotted line that extends forward, allowing you to observe how price reacts over time.
Once a level is formed, it is kept permanently on the chart — no repainting, no disappearing levels.
⚙️ Customizable Settings
You can easily adjust:
Left & Right Pivot Bars – control how strong a pivot must be
Line Extension Length
Line Width
Support & Resistance Colors
Show / Hide Pivot Highs and Pivot Lows independently
This flexibility allows the indicator to adapt to intraday, swing, or higher-timeframe analysis.
✅ Key Features
✔ Fully automatic support & resistance detection
✔ Based on proven pivot-point logic
✔ No repainting
✔ Clean, minimal chart appearance
✔ Unlimited support & resistance levels
✔ Works on all timeframes & instruments
📈 Best Use Cases
Identifying key demand and supply zones
Planning entries, targets, and stop-losses
Confluence with price action, RSI, moving averages
Breakout and rejection-based strategies Indicator
A Humbled Trader Strategy + ChecklistHumbled Trader Swing Strategy + Checklist
This indicator is a complete swing trading system based on the high-probability strategies popularized by Humbled Trader. It is designed to help traders identify trend breakouts and low-risk momentum pullbacks on the Daily Timeframe.
The script combines trend filtering, automated resistance lines, and specific entry triggers into a single chart overlay, complete with a real-time Strategy Checklist Dashboard to confirm your setups instantly.
🎯 Core Components
Trend Filter (Purple Line): The 200 Simple Moving Average (SMA). This acts as your long-term trend filter. We only look for long trades when the price is above this line.
Momentum Guide (Orange Line): The 8 Exponential Moving Average (EMA). This tracks short-term momentum. In a strong trend, price will "ride" this line. We look to enter when price pulls back to touch this area.
Multi-Month Resistance (Orange Horizontal Line): Automatically plots the highest price over the last X Months (adjustable). This helps you instantly visualize the key level the stock needs to break out from.
Checklist Dashboard: A real-time table that evaluates Trend, Resistance, and Momentum conditions to give you a clear "✅ ENTER", "🚀 GAP UP", or "⏳ WAIT" signal.
🛠 How It Works
This indicator scans for two specific setups:
1. The Daily Gap Up ("GAP" Label) This signal appears when a stock shows strong momentum by gapping up overnight.
Condition: The stock opens at least 3% higher (adjustable) than the previous day's Close AND opens above the previous day's High.
Trend: Must be above the 200 SMA.
Visual: Marked with a green "GAP" label on the chart.
2. The Trend Pullback ("ENTER" Signal) This is a trend-following entry that lets you join an existing move with lower risk.
Condition: The stock is in an uptrend but dips down to touch or test the 8 EMA.
Validation: The candle must show a "dip" (red candle or lower close) to ensure we are buying a pullback, not chasing a top.
Visual: The Dashboard "Action Signal" will turn orange and display "✅ ENTER".
📋 The Checklist Dashboard
Located in the corner of your chart, this table provides a live status report for the current bar:
Trend (> 200 SMA):
🟢 Bullish: Price is in an uptrend. Safe to look for entries.
🔴 Bearish: Price is below the 200 SMA. Stay away.
Above Resistance?:
🟢 Breakout: Price has cleared the multi-month resistance line.
⚪ ---: Price is currently below the key breakout level.
Near 8 EMA?:
🟢 Yes: Price is near the "value zone" (8 EMA) for a potential pullback entry.
Action Signal:
🚀 GAP UP: Strong momentum gap detected.
✅ ENTER: Valid pullback entry detected.
⏳ WAIT: No clear setup found.
⚙️ Settings
Momentum EMA Length: Default is 8. Controls the sensitivity of the pullback line.
Trend SMA Length: Default is 200. The standard for long-term trend filtering.
Gap Up % Threshold: Default is 3.0%. Minimum overnight gap size required to trigger a signal.
Resistance Lookback (Months): Default is 3. The script will look back this many months to find and draw the key resistance line.
Table Position: Move the checklist to any corner of your screen.
⚠️ Disclaimer
This tool is for educational purposes only and does not constitute financial advice. Always manage your risk and use a stop loss. Indicator
