SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
스크립트에서 "renko"에 대해 찾기
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading
Profitfactor 2,603
Summary
Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing.
The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior.
Motivation: Why this design?
Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility.
The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another.
What’s different vs. standard approaches?
Baseline reference
Typical swing-based structure indicators report every break above or below recent swing points.
Architecture differences
First-shift-only regime logic that blocks repeated signals until direction reverses
ATR-filtered validation to avoid weak or momentum-less breaks
Premium and discount bands derived from breakout structure
Optional band-driven stop placement
Optional band-dependent position-sizing factor
Regime timeout system to neutralize structure after extended inactivity
Persistent-state architecture to prevent re-triggering
Practical effect
Only the earliest actionable structure change is traded
Fewer but higher-quality signals
Premium/discount tint assists contextual evaluation
Stops and sizing can be aligned with structural context rather than arbitrary volatility measures
Improved chart interpretability due to reduced marker frequency
How it works (technical)
The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing.
Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts.
The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band.
Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship.
Parameter Guide
Market Structure
Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness.
Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts.
ATR length (default 14): Volatility estimation for breakout and band validation.
Break ATR multiplier (default 1.0): Required breakout strength relative to ATR.
Premium/Discount Framework
Enable framework (default true): Activates premium/discount evaluation.
Persist band on timeout (default true): Keeps structural band after timeout.
Min band ATR mult (default 0.5): Rejects narrow bands.
Regime timeout bars (default 500): Neutralizes regime after inactivity.
Invert colors (default false): Color scheme toggle.
Visuals
Show zone tint (default true): Background shade in premium or discount region.
Show shift markers (default true): Display first-shift markers.
Execution and Risk
Risk per trade percent (default 1.0): Determines position size as account percentage.
Use band for size (default false): Scales size relative to band width behavior.
Flat on opposite shift (default true): Forces reversal behavior.
Use stop at band (default false): Stop anchored to band edges.
Stop band side: Chooses which band edge is used for stop generation.
Reading & Interpretation
A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime.
When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter.
Practical Workflows & Combinations
Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context.
Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries.
Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context.
Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit.
Behavior, Constraints & Performance
The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues.
Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable.
Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely.
Sensible Defaults & Quick Tuning
Fewer but stronger entries: Increase swing length or ATR breakout multiplier.
More responsive entries: Reduce swing length to capture earlier shifts.
More active band behavior: Lower the minimum band ATR threshold.
Stricter stop logic: Use the opposite band edge for stop placement.
Volatile markets: Increase ATR length slightly to stabilize behavior.
What this indicator is—and isn’t
Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Trendshift [CHE]Trendshift — First-Shift Regime Turns with Premium/Discount Context
Summary
Trendshift highlights the first confirmed directional structure shift in price and overlays a premium or discount context based on the most recent structural range. It identifies the major swing levels, detects a regime transition when price closes beyond these levels with optional ATR-based conviction, and marks only the first shift per direction to reduce repetition and noise. The indicator then establishes a premium or discount band around the break and tints the background when price operates in either region. This produces a clean regime-aware view that emphasizes only the earliest actionable turn while maintaining contextual bias information.
Motivation: Why this design?
Conventional swing-based structure tools often fire repeated signals after each minor break, especially in volatile environments. This leads to cluttered charts and little informational value. Trendshift focuses on the core trading need: isolating the first confirmed change in directional structure and providing a premium or discount context after the break. By limiting signals to the initial flip and suppressing further markers until direction reverses again, the script reduces noise and highlights only the structural event that materially matters. The band logic further addresses the challenge of distinguishing contextual extremes and avoiding trades taken too late after a shift.
What’s different vs. standard approaches?
Baseline reference: Most structure indicators repeatedly plot every new break of a swing high or swing low.
Differences:
Only the first confirmed bullish or bearish shift is plotted until the opposite direction occurs.
ATR-filtered breakout validation to reduce false breaks during volatility spikes.
A reduced premium and discount band derived from the breakout candle and prior swing structure.
Tinted background for contextual positioning rather than explicit entry signals.
Practical effect:
Fewer but more meaningful shift markers.
Clear visual context of where price operates relative to the structural band.
Cleaner regime transitions and less chart clutter.
How it works (technical)
The indicator continuously evaluates major swing highs and lows using a symmetric window length. When a swing is confirmed, the script stores its price and bar index. A structure shift occurs when price closes beyond the most recent major swing in the opposite direction. Optional ATR filtering requires the breakout distance to exceed an ATR-scaled threshold.
Upon a confirmed shift, the script sets a regime state that remains active until a new shift or an optional timeout. It also establishes a structural band anchored between the breakout candle extremum and the prior opposite swing. The band informs the premium and discount boundaries, each representing a quarter subdivision.
Only the first shift event per direction generates a visual triangle marker. The band is validated by comparing its height to ATR to avoid extremely narrow structures. Background tinting activates whenever price resides within the premium or discount zones. Persistent variables maintain previous structural states and prevent re-triggering until direction reverses.
Parameter Guide
Swing length (default 5): Controls the number of bars used on each side of a swing. Smaller values are more reactive; larger values reduce noise.
Use ATR filter (default true): Requires breakout strength beyond the swing to exceed an ATR-scaled threshold. Disabling increases signal frequency.
ATR length (default 14): Controls volatility estimation for breakout filtering and band validation.
Break ATR multiplier (default 1.0): Higher values require stronger breakouts, reducing false shifts.
Enable framework (default true): Activates the premium and discount context logic.
Persist band on timeout (default true): Retains the current band after a regime timeout.
Min band size ATR mult (default 0.5): Rejects extremely small bands and prevents unrealistic tinting.
Regime timeout bars (default 500): Resets the regime after extended inactivity.
Invert colors (default false): Swaps premium and discount tint color assignments.
Show zone tint (default true): Toggles background shading.
Show shift markers (default true): Enables or disables the first-shift triangles.
Reading & Interpretation
A green or red tint signals that price is operating in the discount or premium region of the most recent structural band. These regions are derived from the breakout event and the prior swing. A green triangle below a bar indicates the first bullish structure shift after a bearish regime. A red triangle above a bar indicates the first bearish shift after a bullish regime. No further markers appear until direction reverses. When tint is active, price location within the band offers simple contextual bias without providing explicit entries.
Practical Workflows & Combinations
Trend following: Treat the first bullish marker as the earliest confirmation of a potential up-regime and the first bearish marker for a potential down-regime. Use price location relative to the premium and discount zones as context for continuation or mean-reversion setups.
Structure-based execution: Combine with simple swing highs and lows to refine entry points within discount after a bullish shift or within premium after a bearish shift.
Higher-timeframe overlays: Apply the indicator on higher timeframes to define macro structure, then trade on lower timeframes using the band as a contextual anchor.
Risk management: When price stays in premium during a bearish regime or in discount during a bullish regime, consider protective actions or position management adjustments.
Behavior, Constraints & Performance
The script uses only confirmed swing points and closed-bar conditions, so repainting from future bars does not occur except the inherent delay of pivot confirmation. No higher-timeframe security calls are used, avoiding HTF repaint paths.
Performance impact is minimal because the script uses no loops or arrays and relies on persistent variables. The maximum bars back setting is five-thousand, required for swing lookback. Known limitations include quiet behavior during long consolidations, occasional delayed recognition of shifts due to swing confirmation, and limited effectiveness during large market gaps where extremum logic may be distorted.
Sensible Defaults & Quick Tunin g
Increase the swing length for smoother trend shifts and fewer signals.
Decrease the swing length for more sensitivity.
Raise the ATR breakout multiplier to reduce noise in volatile markets.
Lower the band size requirement to make premium and discount zones more active on slower markets.
Extend the regime timeout for slow-moving assets.
What this indicator is—and isn’t
This tool is a structural regime-shift detector with contextual premium and discount shading. It is not a complete trading system and does not include entries, exits, or risk models. It does not predict future price movement. It should be combined with broader structure analysis, liquidity considerations, and risk management practices.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) [CHE]Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) — Higher-timeframe BB emulation with bucket-based length scaling and on-chart diagnostics
Summary
This indicator emulates higher-timeframe Bollinger Bands directly on the current chart by scaling a fixed base length (20) via a timeframe-to-bucket multiplier map. It avoids cross-timeframe requests and instead applies the “HTF feel” by using a longer effective lookback on lower timeframes. Bands use the classic deviation of 2 and the original color scheme (Basis blue, Upper red, Lower green, blue fill). An on-chart table reports the resolved bucket, multiplier, and effective length.
Pine version: v6
Overlay: true
Primary outputs: Basis (SMA), Upper/Lower bands, background fill, optional info table
Motivation: Why this design?
Cross-timeframe Bollinger Bands typically rely on `request.security`, which can introduce complexity, mixed-bar alignment issues, and potential repaint paths depending on how users consume signals intrabar. This design offers a deterministic alternative: a single-series calculation on the chart timeframe, with a hardcoded “HTF emulation” achieved by scaling the BB length according to coarse higher-timeframe buckets. The result is a smoother, slower band structure on low timeframes without external timeframe calls.
What’s different vs. standard approaches?
Baseline: Standard Bollinger Bands with a fixed user length on the current timeframe, or true HTF bands via `request.security`.
Architecture differences:
Fixed base parameters: Length = 20, Deviation = 2.
Bucket mapping derived from the chart timeframe (or manually overridden).
No `request.security`; all computations occur on the current series.
Effective length is “20 × multiplier”, where multiplier approximates aggregation into the chosen bucket.
Diagnostics table for transparency (bucket, multiplier, resolved length, bandwidth).
Practical effect: On lower timeframes, the effective length becomes much larger, behaving like a higher-timeframe Bollinger structure (smoother basis and wider stability), while remaining purely local to the chart series.
How it works (technical)
The script first resolves a target bucket (“Auto” or a manual selection such as 60/240/1D/…/12M). It then computes a multiplier that approximates how many current bars fit into that bucket (e.g., 1m→60m uses mult≈60, 5m→60m uses mult≈12). The effective Bollinger length becomes:
`bb_len = 20 mult` (clamped to at least 1)
Using the effective length, it calculates:
`basis = ta.sma(src, bb_len)`
`dev = 2 ta.stdev(src, bb_len)`
`upper = basis + dev`
`lower = basis - dev`
A “bandwidth” diagnostic is also computed as `(upper-lower) / basis` (guarded against division by zero) and shown in the table as a percentage. A persistent table object is created/deleted based on the visibility toggle and updated only on the last bar for performance.
Parameter Guide
Source — Input series for the bands — Default: Close
Use close for classic behavior; smoother sources reduce responsiveness.
Bucket — HTF bucket selection — Default: Auto
Auto derives a bucket from the chart timeframe; manual selection forces the intended target bucket.
Offset — Plot offset — Default: 0
Shifts plots forward/back for visual alignment, displayed in the data window.
Table X / Table Y — Table anchor — Default: Right / Top
Places the diagnostics table in one of nine anchor points.
Table Size — Table text size — Default: Normal
Use small on dense charts, large for presentations.
Dark Mode — Table theme — Default: Enabled
Switches table palette for readability against chart background.
Show Table — Toggle diagnostics table — Default: Enabled
Disable for a cleaner chart.
Reading & Interpretation
Basis (blue): The moving average centerline of the bands (SMA of effective length).
Upper (red) / Lower (green): ±2 standard deviations around the basis using the same effective length.
Fill (blue tint): Visual band zone to quickly see compression/expansion.
Interpretation staples:
Price riding the upper band suggests strong bullish pressure; riding the lower band suggests strong bearish pressure.
Band expansion indicates rising volatility; contraction indicates volatility compression.
Mean reversion setups often key off the basis and re-entries from outside bands, while breakout/trend setups often key off sustained band rides.
Diagnostics table:
HTF Tag: Human-readable label showing the current timeframe → bucket mapping.
Bucket: The resolved target bucket (Auto result or manual selection).
Multiplier: The integer factor applied to the base length.
Len/Dev: Shows base length (20) and the effective length result plus deviation (2).
Bandwidth: Normalized width of the band (percent), useful for spotting squeezes.
Practical Workflows & Combinations
HTF context on LTF charts: Use this as “slow structure” bands on 1m–15m charts without requesting HTF data.
Squeeze detection: Watch bandwidth shrink to historically low levels, then look for break/hold outside bands.
Trend filtering: Favor long bias when price stays above the basis and repeatedly respects it; favor short bias when below.
Confluence: Combine with market structure (swing highs/lows), volume tools, or a trend filter (e.g., a longer MA) for confirmation.
Behavior, Constraints & Performance
Repaint/confirmation: No cross-timeframe requests. Values can still evolve intrabar and settle on close, as with any indicator computed on live bars.
History requirements: Very large effective lengths need sufficient historical bars; expect a warm-up period after loading or switching symbols/timeframes.
Known limits: Because the method approximates HTF behavior by scaling lookback, it is not identical to true HTF Bollinger Bands computed on aggregated candles. In particular, volatility and mean can differ slightly versus a real HTF series.
Sensible Defaults & Quick Tuning
Default workflow:
Bucket: Auto
Source: Close
Table: On (until you trust the mapping), then optionally off
If bands feel too slow on your timeframe: choose a smaller bucket (e.g., 60 instead of 240).
If bands feel too reactive/noisy: choose a larger bucket (e.g., 1D or 3D).
If chart looks cluttered: hide the table; keep only the bands and fill.
What this indicator is—and isn’t
This is a Bollinger Band visualization layer that emulates higher-timeframe “slowness” via deterministic length scaling. It is not a complete trading system and does not include entries, exits, sizing, or risk management. Use it as context alongside your execution rules and protective stops.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino.
RSI HTF Hardcoded (A/B Presets) + Regimes [CHE]RSI HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe RSI emulation with acceptance-based regime filter and on-chart diagnostics
Summary
This indicator emulates a higher-timeframe RSI on the current chart by resolving hardcoded “HTF-like” lengths from a time-bucket mapping, avoiding cross-timeframe requests. It computes RSI on a resolved length, smooths it with a resolved moving average, and derives a histogram-style difference (RSI minus its smoother). A four-state regime classifier is gated by a dead-band and an acceptance filter requiring consecutive bars before a regime is considered valid. An on-chart table reports the active preset, resolved mapping tag, resolved lengths, and the current filtered regime.
Pine version: v6
Overlay: false
Primary outputs: RSI line, SMA(RSI) line, RSI–SMA histogram columns, reference levels (30/50/70), regime-change alert, info table
Motivation
Cross-timeframe RSI implementations often rely on `request.security`, which can introduce repaint pathways and additional update latency. This design uses deterministic, on-series computation: it infers a coarse target bucket (or uses a forced bucket) and resolves lengths accordingly. The dead-band reduces noise at the decision boundaries (around RSI 50 and around the RSI–SMA difference), while the acceptance filter suppresses rapid flip-flops by requiring sustained agreement across bars.
Differences
Baseline: Standard RSI with a user-selected length on the same timeframe, or HTF RSI via cross-timeframe requests.
Key differences:
Hardcoded preset families and a bucket-based mapping to resolve “HTF-like” lengths on the current chart.
No `request.security`; all calculations run on the chart’s own series.
Regime classification uses two independent signals (RSI relative to 50 and RSI–SMA difference), gated by a configurable dead-band and an acceptance counter.
Always-on diagnostics via a persistent table (optional), showing preset, mapping tag, resolved lengths, and filtered regime.
Practical effect: The oscillator behaves like a slower, higher-timeframe variant with more stable regime transitions, at the cost of delayed recognition around sharp turns (by design).
How it works
1. Bucket selection: The script derives a coarse “target bucket” from the chart timeframe (Auto) or uses a user-forced bucket.
2. Length resolution: A chosen preset defines base lengths (RSI length and smoothing length). A bucket/timeframe mapping resolves a multiplier, producing final lengths used for RSI and smoothing.
3. Oscillator construction: RSI is computed on the resolved RSI length. A moving average of RSI is computed on the resolved smoothing length. The difference (RSI minus its smoother) is used as the histogram series.
4. Regime classification: Four regimes are defined from:
RSI relative to 50 (bullish above, bearish below), with a dead-band around 50
Difference relative to 0 (positive/negative), with a dead-band around 0
These two axes produce strong/weak bull and bear states, plus a neutral state when inside the dead-band(s).
5. Acceptance filter: The raw regime must persist for `n` consecutive bars before it becomes the filtered regime. The alert triggers when the filtered regime changes.
6. Diagnostics and visualization: Histogram columns change shade based on sign and whether the difference is rising/falling. The table displays preset, mapping tag, resolved lengths, and the filtered regime description.
Parameter Guide
Source — Input series for RSI — Default: Close — Smoother sources reduce noise but add lag.
Preset — Base lengths family — Default: A(14/14) — Switch presets to change RSI and smoothing responsiveness.
Target Bucket — Auto or forced bucket — Default: Auto — Force a bucket to lock behavior across chart timeframe changes.
Table X / Table Y — Table anchor — Default: right / top — Move to avoid covering content.
Table Size — Table text size — Default: normal — Increase for presentations, decrease for dense layouts.
Dark Mode — Table theme — Default: enabled — Match chart background for readability.
Show Table — Toggle diagnostics table — Default: enabled — Disable for a cleaner pane.
Epsilon (dead-band) — Noise gate for decisions — Default: 1.0 — Raise to reduce flips near boundaries; lower to react faster.
Acceptance bars (n) — Bars required to confirm a regime — Default: 3 — Higher reduces whipsaw; lower increases reactivity.
Reading
Histogram (RSI–SMA):
Above zero indicates RSI is above its smoother (positive momentum bias).
Below zero indicates RSI is below its smoother (negative momentum bias).
Darker/lighter shading indicates whether the difference is increasing or decreasing versus the previous bar.
RSI vs SMA(RSI):
RSI’s position relative to 50 provides broad directional bias.
RSI’s position relative to its smoother provides momentum confirmation/contra-signal.
Regimes:
Strong bull: RSI meaningfully above 50 and difference meaningfully above 0.
Weak bull: RSI above 50 but difference below 0 (pullback/transition).
Strong bear: RSI meaningfully below 50 and difference meaningfully below 0.
Weak bear: RSI below 50 but difference above 0 (pullback/transition).
Neutral: inside the dead-band(s).
Table:
Use it to validate the active preset, the mapping tag, the resolved lengths, and the filtered regime output.
Workflows
Trend confirmation:
Favor long bias when strong bull is active; favor short bias when strong bear is active.
Treat weak regimes as pullback/transition context rather than immediate reversals, especially with higher acceptance.
Structure + oscillator:
Combine regimes with swing structure, breakouts, or a baseline trend filter to avoid trading against dominant structure.
Use regime change alerts as a “state change” notification, not as a standalone entry.
Multi-asset consistency:
The bucket mapping helps keep a consistent “feel” across different chart timeframes without relying on external timeframe series.
Behavior/Constraints
Intrabar behavior:
No cross-timeframe requests are used; values can still evolve on the live bar and settle at close depending on your chart/update timing.
Warm-up requirements:
Large resolved lengths require sufficient history to seed RSI and smoothing. Expect a warm-up period after loading or switching symbols/timeframes.
Latency by design:
Dead-band and acceptance filtering reduce noise but can delay regime changes during sharp reversals.
Chart types:
Intended for standard time-based charts. Non-time-based or synthetic chart types (e.g., Heikin-Ashi, Renko, Kagi, Point-and-Figure, Range) can distort oscillator behavior and regime stability.
Tuning
Too many flips near decision boundaries:
Increase Epsilon and/or increase Acceptance bars.
Too sluggish in clean trends:
Reduce Acceptance bars by one, or choose a faster preset (shorter base lengths).
Too sensitive on lower timeframes:
Choose a slower preset (longer base lengths) or force a higher Target Bucket.
Want less clutter:
Disable the table and keep only the alert + plots you need.
What it is/isn’t
This indicator is a regime and visualization layer for RSI using higher-timeframe emulation and stability gates. It is not a complete trading system and does not provide position sizing, risk management, or execution rules. Use it alongside structure, liquidity/volatility context, and protective risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino.
[algsc][16STOCH][MLB+MBS][LineBreak+Renko][Price+CVD] ALPHA CONFLUENCE ENGINE — 16×2 Noiseless Multi-Chart Score System (Private)
Proprietary fusion of 16 advanced noiseless chart structures (32 total layers) simultaneously analyzing both pure price momentum and institutional Cumulative Volume Delta flow.
The indicator continuously tracks 16 independent scoring systems across two completely different non-time-based chart engines, delivering a single ultra-clean confluence reading:
• Real-time 4-way score display directly on chart
• Large institutional-grade B / S arrows only when extreme alignment occurs across multiple hidden layers
• Zero repainting · Zero lag · Works on every market and timeframe
This is the same internal confluence tool used in our private trading group — now available as a closed-source, high-precision signal engine.
Strictly limited access. For serious traders only.
products.algscience@gmail.com
Regime [CHE] Regime — Minimal HTF MACD histogram regime marker with a simple rising versus falling state.
Summary
Regime is a lightweight overlay that turns a higher-timeframe-style MACD histogram condition into a simple regime marker on your chart. It queries an imported core module to determine whether the histogram is rising and then paints a consistent marker color based on that boolean state. The output is intentionally minimal: no lines, no panels, no extra smoothing visuals, just a repeated marker that reflects the current regime. This makes it useful as a quick context filter for other signals rather than a standalone system.
Motivation: Why this design?
A common problem in discretionary and systematic workflows is clutter and over-interpretation. Many regime tools draw multiple plots, which can distract from price structure. This script reduces the regime idea to one stable question: is the MACD histogram rising under a given preset and smoothing length. The core logic is delegated to a shared module to keep the indicator thin and consistent across scripts that rely on the same definition.
What’s different vs. standard approaches?
Reference baseline: A standard MACD histogram plotted in a separate pane with manual interpretation.
Architecture differences:
Uses a shared library call for the regime decision, rather than re-implementing MACD logic locally.
Uses a single boolean output to drive marker color, rather than plotting histogram bars.
Uses fixed marker placement at the bottom of the chart for consistent visibility.
Practical effect:
You get a persistent “context layer” on price without dedicating a separate pane or reading histogram amplitude. The chart shows state, not magnitude.
How it works (technical)
1. The script imports `chervolino/CoreMACDHTF/2` and calls `core.is_hist_rising()` on each bar.
2. Inputs provide the source series, a preset string for MACD-style parameters, and a smoothing length used by the library function.
3. The library returns a boolean `rising` that represents whether the histogram is rising according to the library’s internal definition.
4. The script maps that boolean to a color: yellow when rising, blue otherwise.
5. A circle marker is plotted on every bar at the bottom of the chart, colored by the current regime state. Only the most recent five hundred bars are displayed to limit visual load.
Notes:
The exact internal calculation details of `core.is_hist_rising()` are not shown in this code. Any higher timeframe mechanics, security usage, or confirmation behavior are determined by the imported library. (Unknown)
Parameter Guide
Source — Selects the price series used by the library call — Default: close — Tips: Use close for consistency; alternate sources may shift regime changes.
Preset — Chooses parameter preset for the library’s MACD-style configuration — Default: 3,10,16 — Trade-offs: Faster presets tend to flip more often; slower presets tend to react later.
Smoothing Length — Controls smoothing used inside the library regime decision — Default: 21 — Bounds: minimum one — Trade-offs: Higher values typically reduce noise but can delay transitions. (Library behavior: Unknown)
Reading & Interpretation
Yellow markers indicate the library considers the histogram to be rising at that bar.
Blue markers indicate the library considers it not rising, which may include falling or flat conditions depending on the library definition. (Unknown)
Because markers repeat on every bar, focus on transitions from one color to the other as regime changes.
This tool is best read as context: it does not express strength, only direction of change as defined by the library.
Practical Workflows & Combinations
Trend following:
Use yellow as a condition to allow long-side entries and blue as a condition to allow short-side entries, then trigger entries with your primary setup such as structure breaks or pullback patterns. (Optional)
Exits and stops:
Consider tightening management after a color transition against your position direction, but do not treat a single flip as an exit signal without price-based confirmation. (Optional)
Multi-asset and multi-timeframe:
Keep `Source` consistent across assets.
Use the slower preset when instruments are noisy, and the faster preset when you need earlier context shifts. The best transferability depends on the imported library’s behavior. (Unknown)
Behavior, Constraints & Performance
Repaint and confirmation:
This script itself uses no forward-looking indexing and no explicit closed-bar gating. It evaluates on every bar update.
Any repaint or confirmation behavior may come from the imported library. If the library uses higher timeframe data, intrabar updates can change the state until the higher timeframe bar closes. (Unknown)
security and HTF:
Not visible here. The library name suggests HTF behavior, but the implementation is not shown. Treat this as potentially higher-timeframe-driven unless you confirm the library source. (Unknown)
Resources:
No loops, no arrays, no heavy objects. The plotting is one marker series with a five hundred bar display window.
Known limits:
This indicator does not convey histogram magnitude, divergence, or volatility context.
A binary regime can flip in choppy phases depending on preset and smoothing.
Sensible Defaults & Quick Tuning
Starting point:
Source: close
Preset: 3,10,16
Smoothing Length: 21
Tuning recipes:
Too many flips: choose the slower preset and increase smoothing length.
Too sluggish: choose the faster preset and reduce smoothing length.
Regime changes feel misaligned with your entries: keep the preset, switch the source back to close, and tune smoothing length in small steps.
What this indicator is—and isn’t
This is a minimal regime visualization and a context filter. It is not a complete trading system, not a risk model, and not a prediction engine. Use it together with price structure, execution rules, and position management. The regime definition depends on the imported library, so validate it against your market and timeframe before relying on it.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
MACD HTF Hardcoded
CoreMACDHTF [CHE]Library "CoreMACDHTF"
calc_macd_htf(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
is_hist_rising(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
hist_rising_01(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
CoreMACDHTF — Hardcoded HTF MACD Presets with Smoothed Histogram Regime Flags
Summary
CoreMACDHTF provides a reusable MACD engine that approximates higher-timeframe behavior by selecting hardcoded EMA lengths based on the current chart timeframe, then optionally smoothing the resulting histogram with a stateful filter. It is published as a Pine v6 library but intentionally includes a minimal demo plot so you can validate behavior directly on a chart. The primary exported outputs are MACD, signal, a smoothed histogram, and the resolved lengths plus a timeframe tag. In addition, it exposes a histogram rising condition so importing scripts can reuse the same regime logic instead of re-implementing it.
Motivation: Why this design?
Classic MACD settings are often tuned to one timeframe. When you apply the same parameters to very different chart intervals, the histogram can become either too noisy or too sluggish. This script addresses that by using a fixed mapping from the chart timeframe into a precomputed set of EMA lengths, aiming for more consistent “tempo” across intervals. A second problem is histogram micro-chop around turning points; the included smoother reduces short-run flips so regime-style conditions can be more stable for alerts and filters.
What’s different vs. standard approaches?
Reference baseline: a standard MACD using fixed fast, slow, and signal lengths on the current chart timeframe.
Architecture differences:
Automatic timeframe bucketing that selects a hardcoded length set for the chosen preset.
Two preset families: one labeled A with lengths three, ten, sixteen; one labeled B with lengths twelve, twenty-six, nine.
A custom, stateful histogram smoother intended to damp noisy transitions.
Library exports that return both signals and metadata, plus a dedicated “histogram rising” boolean.
Practical effect:
The MACD lengths change when the chart timeframe changes, so the oscillator’s responsiveness is not constant across intervals by design.
The rising-flag logic is based on the smoothed histogram, which typically reduces single-bar flip noise compared to using the raw histogram directly.
How it works (technical)
1. The script reads the chart timeframe and converts it into milliseconds using built-in timeframe helpers.
2. It assigns the timeframe into a bucket label, such as an intraday bucket or a daily-and-above bucket, using fixed thresholds.
3. It resolves a hardcoded fast, slow, and signal length triplet based on:
The selected preset family.
The bucket label.
In some cases, the current minute multiplier for finer mapping.
4. It computes fast and slow EMAs on the selected source and subtracts them to obtain MACD, then computes an EMA of MACD for the signal line.
5. The histogram is derived from the difference between MACD and signal, then passed through a custom smoother.
6. The smoother uses persistent internal state to carry forward its intermediate values from bar to bar. This is intentional and means the smoothing output depends on contiguous bar history.
7. The histogram rising flag compares the current smoothed histogram to its prior value. On the first comparable bar it defaults to “rising” to avoid a missing prior reference.
8. Exports:
A function that returns MACD, signal, smoothed histogram, the resolved lengths, and a text tag.
A function that returns the boolean rising state.
A function that returns a numeric one-or-zero series for direct plotting or downstream numeric logic.
HTF note: this is not a true higher-timeframe request. It does not fetch higher-timeframe candles. It approximates HTF feel by selecting different lengths on the current timeframe.
Parameter Guide
Source — Input price series used for EMA calculations — Default close — Trade-offs/Tips
Preset — Selects the hardcoded mapping family — Default preset A — Preset A is more reactive than preset B in typical use
Table Position — Anchor for an information table — Default top right — Present but not wired in the provided code (Unknown/Optional)
Table Size — Text size for the information table — Default normal — Present but not wired in the provided code (Unknown/Optional)
Dark Mode — Theme toggle for the table — Default enabled — Present but not wired in the provided code (Unknown/Optional)
Show Table — Visibility toggle for the table — Default enabled — Present but not wired in the provided code (Unknown/Optional)
Zero dead-band (epsilon) — Intended neutral band around zero for regime classification — Default zero — Present but not used in the provided code (Unknown/Optional)
Acceptance bars (n) — Intended debounce count for regime confirmation — Default three — Present but not used in the provided code (Unknown/Optional)
Smoothing length — Length controlling the histogram smoother’s responsiveness — Default nine — Smaller values react faster but can reintroduce flip noise
Reading & Interpretation
Smoothed histogram: use it as the momentum core. A positive value implies MACD is above signal, a negative value implies the opposite.
Histogram rising flag:
True means the smoothed histogram increased compared to the prior bar.
False means it did not increase compared to the prior bar.
Demo plot:
The included plot outputs one when rising is true and zero otherwise. It is a diagnostic-style signal line, not a scaled oscillator display.
Practical Workflows & Combinations
Trend following:
Use rising as a momentum confirmation filter after structural direction is established by higher highs and higher lows, or lower highs and lower lows.
Combine with a simple trend filter such as a higher-timeframe moving average from your main script (Unknown/Optional).
Exits and risk management:
If you use rising to stay in trends, consider exiting or reducing exposure when rising turns false for multiple consecutive bars rather than reacting to a single flip.
If you build alerts, evaluate on closed bars to avoid intra-bar flicker in live candles.
Multi-asset and multi-timeframe:
Because the mapping is hardcoded, validate on each asset class you trade. Volatility regimes differ and the perceived “equivalence” across timeframes is not guaranteed.
For consistent behavior, keep the smoothing length aligned across assets and adjust only when flip frequency becomes problematic.
Behavior, Constraints & Performance
Repaint and confirmation:
There is no forward-looking indexing. The logic uses current and prior values only.
Live-bar values can change until the bar closes, so rising can flicker intra-bar if you evaluate it in real time.
security and HTF:
No higher-timeframe candle requests are used. Length mapping is internal and deterministic per chart timeframe.
Resources:
No loops and no arrays in the core calculation path.
The smoother maintains persistent state, which is lightweight but means results depend on uninterrupted history.
Known limits:
Length mappings are fixed. If your chart timeframe is unusual, the bucket choice may not represent what you expect.
Several table and regime-related inputs are declared but not used in the provided code (Unknown/Optional).
The smoother is stateful; resetting chart history or changing symbol can alter early bars until state settles.
Sensible Defaults & Quick Tuning
S tarting point:
Preset A
Smoothing length nine
Source close
Tuning recipes:
Too many flips: increase smoothing length and evaluate rising only on closed bars.
Too sluggish: reduce smoothing length, but expect more short-run reversals.
Different timeframe feel after switching intervals: keep preset fixed and adjust smoothing length first before changing preset.
Want a clean plot signal: use the exported numeric rising series and apply your own display rules in the importing script.
What this indicator is—and isn’t
This is a momentum and regime utility layer built around a MACD-style backbone with hardcoded timeframe-dependent parameters and an optional smoother. It is not a complete trading system, not a risk model, and not predictive. Use it in context with market structure, execution rules, and risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
CoreTFRSIMD CoreTFRSIMD library — Reusable TFRSI core for consistent momentum inputs across scripts
The library provides a reusable exported function such as calcTfrsi(src, len, signalLen) so you can compute TFRSI in your own indicators or strategies, e.g. tfrsi = CoreTFRSIMD.calcTfrsi(close, 6, 2)
Summary
CoreTFRSIMD is a Pine Script v6 library that implements a TFRSI-style oscillator core and exposes it as a reusable exported function. It is designed for authors who want the same TFRSI calculation across multiple indicators or strategies without duplicating logic. The library includes a simple demo plot and band styling so you can visually sanity-check the output. No higher-timeframe sampling is used, and there are no loops or arrays, so runtime cost is minimal for typical chart usage.
Motivation: Why this design?
When you reuse an oscillator across different tools, small implementation differences create inconsistent signals and hard-to-debug results. This library isolates the signal path into one exported function so that every dependent script consumes the exact same oscillator output. The design combines filtering, normalization, and a final smoothing pass to produce a stable, RSI-like readout intended for momentum and regime context.
What’s different vs. standard approaches?
Baseline: Traditional RSI computed directly from gains and losses with standard smoothing.
Architecture differences:
A high-pass stage to attenuate slower components before the main smoothing.
A multi-pole smoothing stage implemented with persistent state to reduce noise.
A running peak-tracker style normalization that adapts to changing signal amplitude.
A final signal smoothing layer using a simple moving average.
Practical effect:
The oscillator output tends to be less dominated by raw volatility spikes and more consistent across changing conditions.
The normalization step helps keep the output in an RSI-like reading space without relying on fixed scaling.
How it works (technical)
1. Input source: The exported function accepts a source series and two integer parameters controlling responsiveness and final smoothing.
2. High-pass stage: A recursive filter is applied to the source to emphasize shorter-term movement. This stage uses persistent storage so it can reference prior internal states across bars.
3. Smoothing stage: The filtered stream is passed through a SuperSmoother-like recursive smoother derived from the chosen length. This again uses persistent state and prior values for continuity.
4. Adaptive normalization: The absolute magnitude of the smoothed stream is compared to a slowly decaying reference level. If the current magnitude exceeds the reference, the reference is updated. This acts like a “peak hold with decay” so the oscillator scales relative to recent conditions.
5. Oscillator mapping: The normalized value is mapped into an RSI-like reading range.
6. Signal smoothing: A simple moving average is applied over the requested signal length to reduce bar-to-bar chatter.
7. Demo rendering: The library script plots the oscillator, draws horizontal guide levels, and applies background plus gradient fills for overbought and oversold regions.
Parameter Guide
Parameter — Effect — Default — Trade-offs/Tips
src — Input series used by the oscillator — close in demo — Use close for general momentum, or a derived series if you want to emphasize a specific behavior.
len — Controls the responsiveness of internal filtering and smoothing — six in demo — Smaller values react faster but can increase short-term noise; larger values smooth more but can lag turns.
signalLen — Controls the final smoothing of the mapped oscillator — two in demo — Smaller values preserve detail but can flicker; larger values reduce flicker but can delay transitions.
Reading & Interpretation
The plot is an oscillator intended to be read similarly to an RSI-style momentum gauge.
The demo includes three reference levels: upper at one hundred, mid at fifty, and lower at zero.
The fills visually emphasize zones above the midline and below the midline. Treat these as context, not as standalone entries.
If the oscillator appears unusually compressed or unusually jumpy, the normalization reference may be adapting to an abrupt change in amplitude. That is expected behavior for adaptive normalization.
Practical Workflows & Combinations
Trend following:
Use structure first, then confirm with oscillator behavior around the midline.
Prefer signals aligned with higher-high higher-low or lower-low lower-high context from price.
Exits/Stops:
Use oscillator loss of momentum as a caution flag rather than an automatic exit trigger.
In strong trends, consider keeping risk rules price-based and use the oscillator mainly to avoid adding into exhaustion.
Multi-asset/Multi-timeframe:
Start with the demo defaults when you want a responsive oscillator.
If an asset is noisier, increase the main length or the signal smoothing length to reduce false flips.
Behavior, Constraints & Performance
Repaint/confirmation: No higher-timeframe sampling is used. Output updates on the live bar like any normal series. There is no explicit closed-bar gating in the library.
security or HTF: Not used, so there is no HTF synchronization risk.
Resources: No loops, no arrays, no large history buffers. Persistent variables are used for filter state.
Known limits: Like any filtered oscillator, sharp gaps and extreme one-bar events can produce transient distortions. The adaptive normalization can also make early bars unstable until enough history has accumulated.
Sensible Defaults & Quick Tuning
Starting values: length six, signal smoothing two.
Too many flips: Increase signal smoothing length, or increase the main length.
Too sluggish: Reduce the main length, or reduce signal smoothing length.
Choppy around midline: Increase signal smoothing length slightly and rely more on price structure filters.
What this indicator is—and isn’t
This library is a reusable signal component and visualization aid. It is not a complete trading system, not predictive, and not a substitute for market structure, execution rules, and risk controls. Use it as a momentum and regime context layer, and validate behavior per asset and timeframe before relying on it.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
[algsc][14STOCH][MTF][Price+CVD]**algsc 14-STOCH Confluence Engine**
A powerful multi-timeframe momentum confluence indicator that combines two independent, high-resolution stochastic systems:
- One based on price action (filtered through adaptive Renko logic)
- One based on real Cumulative Volume Delta (CVD) order flow
Across 14 timeframes (1S to 8min including 45s), the indicator continuously monitors alignment strength and displays a clean, dual-score label:
- **Green label below bar** → Bullish confluence (Price / CVD scores)
- **Red label above bar** → Bearish confluence
Large green/red arrows appear only when **both systems agree** with significant momentum (configurable threshold), giving you high-probability, low-noise entries backed by both price and volume.
Designed for scalping, day trading, and swing setups — works on any instrument and any chart timeframe.
**Minimalist. Institutional-grade. No repainting.**
Perfect for traders who want to see when price momentum and order flow are truly in sync — without clutter or false signals.
Enjoy the edge.
— algsc
Kalman Trend Sniper# KALMAN TREND SNIPER
## ORIGINALITY STATEMENT
The Kalman Trend Sniper combines adaptive trend detection with precision entry validation to identify high-probability trading opportunities. Unlike static moving averages that use fixed parameters, this indicator adapts to changing market volatility through ATR-based gain adjustment and distinguishes trending from ranging markets using ADX regime detection.
The indicator's unique contribution is its three-phase entry validation system: signals must hold for three bars, undergo a pullback test to the signal level, and receive confirmation through price action before generating an entry. This structured approach helps traders enter established trends at favorable retracement levels rather than chasing momentum.
---
## TECHNICAL METHODOLOGY
### Kalman Filter Implementation
This indicator implements an Alpha-Beta variant of the Kalman filter, a recursive algorithm that estimates trend from noisy price data:
1. Prediction: kf = kf + velocity
2. Error calculation: error = price - kf
3. Correction: kf = kf + gain * error
4. Velocity update: velocity = velocity + (gain * error) / 2
The gain parameter determines filter responsiveness. Higher gain values track price more closely but increase noise sensitivity, while lower values provide smoother output but lag price changes.
### Adaptive Gain Mechanism
The indicator adjusts gain dynamically based on volatility:
Volatility Factor = Current ATR / Long-term ATR
Adaptive Gain = Base Gain * (0.7 + 0.6 * Volatility Factor)
This ATR ratio increases responsiveness during high-volatility periods and reduces sensitivity during consolidations, addressing the fixed-parameter limitation of traditional moving averages. The volatility factor is bounded between configurable minimum and maximum values to prevent extreme adjustments.
### Regime Detection
The indicator uses the Average Directional Index (ADX) to distinguish market conditions:
- Trending markets (ADX above threshold): Full gain applied, signals generated
- Ranging markets (ADX below threshold): Gain reduced 25%, fewer signals
This regime awareness helps reduce whipsaw signals during sideways consolidation periods.
### Signal Line Validation System
When the Kalman line changes direction in trending conditions, the indicator draws a horizontal signal line at the low (for long signals) or high (for short signals) of the signal candle. This line represents a potential support or resistance level.
The validation system then monitors three phases:
Phase 1 - Hold Period: Price must remain above (long) or below (short) the signal line for three consecutive bars. This requirement filters weak signals where price immediately violates the signal level.
Phase 2 - Test: After the hold period, the system waits for price to pull back and touch the signal line, with configurable tolerance for volatile instruments.
Phase 3 - Confirmation: Within eight bars of the test, a confirmation candle must close above (long) or below (short) the test candle's body, demonstrating renewed momentum. If confirmation does not occur within eight bars, the validation attempt expires.
Successful validation generates an R label at the entry point. This three-phase structure helps identify entries where trend direction and support/resistance validation align.
---
## USAGE INSTRUCTIONS
### Signal Interpretation
Triangle Signals:
- Upward triangle (teal): Kalman line turns bullish in trending market (ADX above threshold)
- Downward triangle (red): Kalman line turns bearish in trending market
Signal Lines (horizontal):
- Teal line: Potential long support level at signal candle low
- Red line: Potential short resistance level at signal candle high
- Gray line: First opposite-color candle after signal (initial reversal pressure)
R Labels (optional, disabled by default):
- Green R below price: Validation complete for long entry
- Red R above price: Validation complete for short entry
Stop Levels:
- Red dots: Long stop level (Kalman line minus ATR multiplier)
- Teal dots: Short stop level (Kalman line plus ATR multiplier)
### Dashboard Information
The dashboard displays real-time indicator state:
- Trend: Current Kalman direction (BULL/BEAR)
- Regime: Market classification (Trending when ADX exceeds threshold, Ranging otherwise)
- Gain: Current adaptive gain value
- Vol Factor: Volatility ratio (current ATR / long-term ATR)
- ADX: Trend strength (higher values indicate stronger trends)
- Z-Score: Standard deviation distance from Kalman line (when enabled)
- Stop Dist: Current ATR-based stop distance
- Lines: Number of active signal lines displayed
- R-Status: Validation system state (Idle / Waiting / Testing)
### Trading Applications
Trend Following Approach:
1. Wait for triangle signal in trending market (ADX above threshold)
2. Enter immediately at signal candle close or wait for pullback
3. Place stop at displayed stop level
4. Trail stop using Kalman line as dynamic support/resistance
Validation Entry Approach (conservative):
1. After triangle signal, observe three-bar hold period
2. Wait for pullback to signal line (test phase)
3. Enter on R label confirmation
4. Place stop below/above signal line
5. Provides higher probability entries but reduces trade frequency
Z-Score Mean Reversion (when enabled):
1. Watch for Z-Score exceeding entry threshold (default +/-2.0)
2. Consider counter-trend entries when price touches Kalman line
3. Target return to Kalman line (Z-Score near zero)
4. Use Z-Score threshold as stop level for extreme continuation
### Optimal Conditions
The indicator performs optimally in clearly trending markets where ADX consistently exceeds the threshold. Performance degrades in sideways, choppy conditions.
Recommended timeframes:
- 1-5 minute charts: Use Crypto_1M preset (faster adaptation)
- 15-60 minute charts: Use Crypto_15M preset (balanced)
- Hourly charts: Use Forex preset (smoother)
- Daily charts: Use Stocks_Daily preset (long-term trends)
Market conditions:
- High volatility (Vol Factor above 1.5): Expect faster adaptation, wider stops needed
- Normal volatility (Vol Factor 0.7-1.5): Standard behavior
- Low volatility (Vol Factor below 0.7): Expect slower adaptation, tighter stops possible
---
## PARAMETER DOCUMENTATION
### Kalman Filter Settings
Preset Mode: Select optimized configuration for specific markets
- Custom: Manual parameter control
- Crypto_1M: Base Gain 0.05, ATR 7 (fast response for 1-5 minute crypto charts)
- Crypto_15M: Base Gain 0.03, ATR 14 (balanced for 15-60 minute crypto charts)
- Forex: Base Gain 0.02, ATR 14 (standard for forex pairs)
- Stocks_Daily: Base Gain 0.01, ATR 20 (smooth for daily stock charts)
Base Gain (0.001-0.2): Core Kalman filter responsiveness parameter. Higher values increase sensitivity to price changes. Low values (0.01-0.02) provide smooth output with fewer whipsaws but slower trend changes. High values (0.06-0.08) offer fast response with more signals but increased whipsaw risk.
Adaptive (checkbox): When enabled, automatically adjusts gain based on ATR ratio. Recommended to keep enabled for dynamic volatility adaptation.
ATR (5-50): Short-term Average True Range period for current volatility measurement. Default 14 is industry standard. Lower values respond faster to volatility changes.
Long ATR (20-200): Long-term ATR period for baseline volatility comparison. Default 50 provides stable reference. The ratio between ATR and Long ATR determines adaptive adjustment magnitude.
Regime Filter (checkbox): Enables ADX-based trending/ranging detection. When enabled, reduces gain by 25 percent during ranging markets to minimize false signals.
ADX Period (7-30): Period for ADX calculation. Default 14 is standard. Lower values respond faster to trend strength changes.
Threshold (15-40): ADX level distinguishing trending from ranging markets. Default 25. Above threshold: trending (generate signals normally). Below threshold: ranging (reduce sensitivity).
Min Vol / Max Vol (0.3-3.0): Bounds for volatility factor adjustment. Prevents extreme gain changes during unusual volatility spikes or quiet periods. Default minimum 0.5, maximum 2.0.
Stop ATR x (1.0-3.0): Multiplier for ATR-based stop loss distance. Default 2.0 places stops two ATRs from Kalman line. Use 1.5 for tight stops (intraday), 2.5-3.0 for wide stops (swing trading).
Show Signals (checkbox): Displays triangle signals when Kalman changes direction in trending markets. Disable to use indicator purely as dynamic support/resistance without signals.
Z-Score (checkbox): Enables mean-reversion signal generation based on statistical deviation from Kalman line.
Period (10-100): Lookback period for Z-Score standard deviation calculation. Default 20 bars. Longer periods produce smoother, less sensitive readings.
Entry (1.5-3.5): Standard deviation threshold for Z-Score signals. Default 2.0 generates signals at plus/minus two standard deviations (approximately 95th percentile moves).
Bull / Bear Colors: Customize Kalman line colors for uptrend (default teal) and downtrend (default red).
Fill (checkbox): Shows semi-transparent fill between price and Kalman line for visual trend emphasis.
### Signal Line System Settings
Signal Lines (checkbox): Displays horizontal signal lines at low (long) or high (short) of signal candles. These function as dynamic support/resistance levels.
Reverse Lines (checkbox): Shows gray horizontal lines at first opposite-colored candle after signal. Helps identify initial resistance points in new trends.
Max Lines (0-20): Maximum number of signal lines to display simultaneously. Older lines are removed as new signals appear. Use 1-2 for clean charts, 3-5 for recent support/resistance history.
Style (Solid/Dotted/Dashed): Visual style for signal and reverse lines. Dotted provides subtle appearance, solid is most prominent.
Line % / Label % (0-100): Transparency percentage for lines and labels. Zero is fully opaque, 100 is invisible.
R Labels (checkbox): Shows R labels when validation confirmation occurs. Default disabled. Enable if you want visual confirmation of successful pullback entries.
Tolerance % (0-1.0): Price deviation tolerance for test candle detection. Zero requires exact touch. 0.5 allows 0.5 percent deviation for volatile instruments.
### Dashboard Settings
Show Dashboard (checkbox): Toggles visibility of information panel. Disable for clean chart presentation.
Position: Choose dashboard location from nine positions (Top/Middle/Bottom combined with Left/Center/Right).
---
## LIMITATIONS AND WARNINGS
This indicator is a technical analysis tool that processes historical price data. It does not predict future price movements.
Inherent limitations:
1. Lagging nature: Like all trend indicators, the Kalman filter lags price. Signals occur after trend changes begin, not before.
2. Ranging markets: Generates fewer signals and reduced performance when ADX falls below threshold. Not optimized for sideways consolidation.
3. Whipsaw risk: In choppy, indecisive markets near ADX threshold, signals may reverse quickly despite regime filtering.
4. Parameter sensitivity: Inappropriate Base Gain settings can cause over-trading (too high) or missed trends (too low).
5. Validation requirement: The three-phase confirmation system provides higher accuracy but significantly reduces trade frequency. Not all trends produce valid pullback entries.
Not suitable for:
- Scalping strategies requiring instant signals (Kalman filter has intentional smoothing)
- Ultra-high frequency trading (indicator updates once per bar close)
- Markets with extreme overnight gaps (stops may be exceeded)
- Strategies requiring signals on Heikin Ashi, Renko, Kagi, Point and Figure, or Range charts
Risk management requirements:
This indicator provides trend direction and signal levels but does not incorporate position sizing, risk management, or account balance considerations. Users must implement appropriate position sizing, maximum daily loss limits, and portfolio diversification. Past performance does not indicate future results.
Optimal usage:
- Works optimally in clearly trending markets where ADX consistently exceeds threshold
- Performance degrades in sideways, choppy conditions
- Designed for swing trading and position trading timeframes (15-minute and above)
- Requires confirmation from price action or additional technical analysis
---
## NO REPAINT GUARANTEE
This indicator operates on bar close confirmation only. All signals, signal lines, and validation labels appear exclusively when candles close. Historical signals remain exactly where they appeared. This makes the indicator suitable for automated trading and reliable backtesting. What you see in historical data matches what appeared in real-time.
---
## ALERTS
The indicator provides eight alert conditions:
1. Kalman Buy Signal: Fires when upward triangle appears (bullish trend change in trending market)
2. Kalman Sell Signal: Fires when downward triangle appears (bearish trend change in trending market)
3. Trend Change to Bullish: Fires whenever Kalman line changes to bullish (regardless of ADX)
4. Trend Change to Bearish: Fires whenever Kalman line changes to bearish (regardless of ADX)
5. SCT-R Long Retest Confirmed: Fires when green R label appears for long validation
6. SCT-R Short Retest Confirmed: Fires when red R label appears for short validation
7. SCT Test Long Detected: Fires when test candle appears for long signal (before confirmation)
8. SCT Test Short Detected: Fires when test candle appears for short signal (before confirmation)
Alert messages include context about bar close confirmation and current price levels.
---
## CALCULATION TRANSPARENCY
While complete proprietary optimization methodology is not disclosed, the core technical approach is fully explained: Alpha-Beta Kalman filter with ATR-based adaptive gain adjustment and ADX regime detection. The signal line validation system uses a three-phase structure (hold, test, confirmation) with configurable parameters. Users can understand indicator functionality and make informed decisions about application.
---
## DISCLAIMER
This indicator is provided as a technical analysis tool. It does not constitute financial advice, trading recommendations, or performance guarantees. All trading decisions carry risk. Users are responsible for their own trading decisions and risk management. Past results do not indicate future performance.
RSI Ensemble Confidence [CHE]RSI Ensemble Confidence — Measures RSI agreement across multiple lengths and price sources
Summary
This indicator does not just show you one RSI — it shows you how strongly dozens of different RSI variants agree with each other right now.
The Confidence line (0–100) is the core idea:
- High Confidence → almost all RSIs see the same thing → clean, reliable situation
- Low Confidence → the RSIs contradict each other → the market is messy, RSI signals are questionable
How it works (exactly as you wanted it described)
1. Multiple RSIs instead of just one
The indicator builds a true ensemble:
- 4 lengths (default 8, 14, 21, 34)
- 6 price sources (Close, Open, High, Low, HL2, OHLC4 – individually switchable)
→ When everything is enabled, up to 24 different RSIs are calculated on every single bar.
These 24 opinions form a real “vote” about the current market state.
2. Mean and dispersion
From all active RSIs it calculates:
- rsiMean → the average opinion of the entire ensemble (orange line)
- rsiStd → how far the individual RSIs deviate from each other
Small rsiStd = they all lie close together → strong agreement
Large rsiStd = they are all over the place → contradiction
3. Confidence (0–100)
The standard deviation is compared to the user parameter “Max expected StdDev” (default 20):
- rsiStd = 0 → Confidence ≈ 100
- rsiStd = maxStd → Confidence ≈ 0
- Everything in between is scaled linearly
If only one RSI is active, Confidence is automatically set to ~80 for practicality.
What you see on the chart
1. Classic reference RSI – blue line (Close, length 14) → your familiar benchmark
2. Ensemble mean – orange line → the true consensus RSI
±1 StdDev band (optional) → shows dispersion directly:
- narrow band = clean, consistent setup
- wide band = the RSIs disagree → caution
3. Confidence line (aqua, 0–100) → your quality meter for any RSI signal
4. StdDev histogram (optional, fuchsia columns) → raw dispersion if you prefer the unscaled value
5. Background coloring
- Greenish ≥ 80 → high agreement
- Orange 60–80 → medium
- Reddish < 40 → strong disagreement
- Transparent below that
6. Two built-in alerts
- High Confidence (crossover 80)
- Low Confidence (crossunder 40)
Why this indicator is practically useful
1. Perfect filter for all RSI strategies
Only trade overbought/oversold, divergences, or failures when Confidence ≥ 70. Skip or reduce size when Confidence < 40.
2. Protection against overinterpretation
You immediately see whether a “beautiful” RSI hook is confirmed by the other 23 variants — or whether it’s just one outlier fooling you.
3. Excellent regime detector
Long periods of high Confidence = clean trends or clear overbought/oversold phases
Constantly low Confidence = choppy, noisy market → RSI becomes almost useless
4. Turns gut feeling into numbers
We all sometimes think “this setup somehow doesn’t feel right”. Now you have the exact number that says why.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
AlosAlgoAlosAlgo Version: 1 BETA
A multi-timeframe, ATR-driven trend strategy with flexible entry engines (Open/Close vs Renko), optional HTF Heikin Ashi filtering, and a built-in 3-stage take-profit model designed to be backtested on TradingView and automated via webhooks.
ORB Pro SuiteOverview
ORB Pro with Filters + Debug Overlay is an advanced Opening Range Breakout indicator designed for precision intraday trading. It defines a configurable ORB window, automatically builds the breakout range, and triggers long or short signals only when all active filters align. The script also includes a built-in debug overlay that explains why each breakout is accepted or blocked, allowing traders to fine-tune entries with transparency.
What Makes It Unique
• Modular filter stack – close-confirmation vs. instant breaks, retest confirmation with adjustable tolerance %, volume-spike and EMA-trend filters, ORB-size range, session cutoff, and cooldown logic.
• Non-blocking debug overlay – inline or corner display of the exact rejection reason (“Too late,” “Low volume,” “Trend mismatch,” etc.).
• Fully customizable visuals – choose shaded, outline, or line-only ORB styles; set opacity, border color, and right-edge offset so the box never hides current candles.
• Integrated reversal engine – detects doji, hammer, and engulfing structures within a time-filtered window and optional VWAP/EMA confluence.
How It Works
During the defined opening window (default 9:30 – 9:45 NY), the indicator records the session high and low.
After the box closes, it looks for breakouts confirmed by candle close or retest (per user settings).
Each signal passes through range, volume, trend, time-delay, and session filters before printing.
Visual stop-loss / take-profit levels appear for reference using either R:R multiples or fixed %.
The optional reversal layer marks short-term exhaustion zones for counter-scalp setups.
Usage Guidelines
• Apply to standard candlestick charts (not Heikin Ashi, Renko, or Range).
• Select your local ORB start / end time, then enable or disable filters based on your playbook.
• Use the “Outline only” or “Corner table” debug modes for a cleaner chart.
• The script provides visual and alert-based confirmations only; it does not execute orders or backtest performance.
Inputs at a Glance
– ORB window (start/end time)
– Close-confirm toggle
– Retest tolerance %
– Volume SMA length
– EMA length for trend filter
– Min/Max range % filter
– Cooldown bars and session cutoff
– Visual R:R ratio or fixed SL/TP %
– Box style, opacity, border width / color
– Debug overlay mode (inline or table) and leader lines
Notes & Disclaimers
• This script is for analysis and educational purposes only. It does not constitute financial advice or guarantee performance.
• Signals are calculated on completed bars without lookahead.
• Invite-only access ensures version integrity and controlled distribution.
© Trades with B – Original development in Pine v6. Reuse of this code requires explicit permission from the author.
Easy [CHE] Easy — Minimalist Pine Script for detecting EMA direction changes to define fixed price zones for simple support and resistance visualization, ideal for manual trading workflows.
Summary
This indicator's programming is kept minimalist and super simple, with core logic in under 20 lines for easy comprehension and modification. It creates fixed price zones based on divergences between a base exponential moving average and its smoother counterpart, helping traders spot potential consolidation or reversal areas without dynamic adjustments. By locking the zone at the high and low of the signal bar, it avoids over-expansion in volatile conditions, offering a stable reference line colored by price position relative to the zone. This approach differs from expanding channels by prioritizing simplicity and persistence until a new qualifying signal, reducing visual clutter while highlighting directional bias through midpoint coloring.
Motivation: Why this design?
Traders often face noisy signals from moving averages that flip frequently in sideways markets or lag during breakouts, leading to premature entries or missed opportunities. This indicator addresses that by focusing on confirmed direction shifts between the base and smoothed averages, then anchoring a non-expanding zone to capture the initial price range of the shift. The result is a cleaner tool for marking equilibrium levels, assuming price respects these bounds in ranging or mildly trending conditions.
What’s different vs. standard approaches?
- Reference baseline: Traditional moving average crossovers or simple channels that update every bar.
- Architecture differences:
- Zones are set only on new divergence signals and remain fixed until reset by a gap from the prior zone.
- No ongoing high-low expansion; relies on persistent variables to hold bounds across bars.
- Midpoint plotting with conditional coloring based on close position, plus a highlight for zone initiations.
- Practical effect: Charts show persistent horizontal references instead of drifting lines, making it easier to gauge if price is rejecting or embracing the zone—useful for avoiding false breaks in low-volatility setups.
How it works (technical)
The indicator first computes a base exponential moving average of closing prices over a user-defined length, then applies a second exponential moving average to smooth that base. It checks if both the base and smoothed values are increasing or decreasing compared to their prior values, indicating aligned direction. A signal triggers when this alignment breaks, marking a potential shift.
On a new signal, if the current bar's high and low fall outside any existing zone (or none exists), the zone bounds update to those extremes and persist via dedicated variables. The midpoint of these bounds becomes the primary plot line, colored green if below the close (bullish lean), red if above (bearish lean), or gray otherwise. A secondary thick line highlights the midpoint briefly when a zone first sets, aiding visual confirmation. No higher timeframe data or external fetches are used, so updates occur on each bar close without lookahead.
Parameter Guide
EMA Length — Sets the period for the base moving average; longer values smooth more, reducing signal frequency but increasing lag. Default: 50. Trade-offs/Tips: Shorter for faster response in intraday charts (risks noise); longer for daily trends (may miss early shifts).
Smoother Length — Defines the period for the secondary smoothing on the base average; higher values dampen minor wiggles for stabler direction checks. Default: 3. Trade-offs/Tips: Keep low (2–5) for sensitivity; increase to 7+ if zones trigger too often in choppy markets, at cost of delayed signals.
Reading & Interpretation
The main circle plot at the zone midpoint serves as a dynamic equilibrium line: green suggests price is above the zone (potential strength), red indicates below (potential weakness), and gray shows containment within bounds (neutral consolidation). A sudden thick foreground line at the midpoint flags a fresh zone start, prompting review of the prior bar's context. Absence of a plot means no active zone, implying reliance on price action alone until the next signal.
Practical Workflows & Combinations
- Trend following: Enter long on green midpoint after a higher low touches the zone lower bound, confirmed by structure like higher highs; filter shorts similarly on red with lower highs.
- Exits/Stops: Use the opposite zone bound as a conservative stop (e.g., below lower for longs); trail aggressively to midpoint on strong moves, tightening near gray neutrality.
- Multi-asset/Multi-TF: Defaults work across forex and stocks on 1H–Daily; for crypto volatility, shorten EMA Length to 20–30. Pair with volume oscillators for confirmation, avoiding isolated use.
Behavior, Constraints & Performance
- Repaint/confirmation: Plots update on bar close using historical closes, so confirmed signals hold; live bars may shift until close but without future references.
- security()/HTF: Not used, eliminating related repaint risks.
- Resources: Minimal overhead—no loops, arrays, or bar limits exceeded; suitable for real-time on any timeframe.
- Known limits: Fixed zones may lag in strong trends (price drifts away without reset); signals skip if no gap from prior zone, potentially missing clustered shifts. Assumes standard OHLC data; untested on non-equity assets.
Sensible Defaults & Quick Tuning
Start with EMA Length at 50 and Smoother Length at 3 for balanced daily charts. If signals fire too frequently (e.g., in ranges), extend EMA Length to 100 for fewer but stabler zones. For sluggish response in trends, drop Smoother Length to 2 and EMA Length to 30, monitoring for added noise. In high-vol setups, widen both to 75/5 to filter extremes, trading speed for reliability.
What this indicator is—and isn’t
This is a lightweight visualization layer for EMA-driven zones, aiding manual chart reading and basic signal spotting. It is not a standalone system, predictive model, or automated alert generator—integrate with broader analysis like market structure and risk rules. (Unknown/Optional: No built-in alerts or multi-timeframe scaling.)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
TopBot [CHE] TopBot — Structure pivots with buffered acceptance and gradient trend visualization
Summary
TopBot detects swing structure from confirmed pivot highs and lows, derives support and resistance levels, and switches trend only after a buffered and accepted break. It renders labels for recent structure points, maintains dynamic support and resistance lines that freeze on contact, and colors candles using a gradient that reflects consecutive trend persistence. The gradient communicates strength without extra panels, while the buffered acceptance reduces fragile flips around key levels. Everything runs in the main chart for immediate context.
Motivation: Why this design?
Classical swing tools often flip on single-bar spikes and produce lines that extend forever without acknowledging when price invalidates them. This script addresses that by requiring a user-controlled buffer and a run of consecutive closes before changing trend, while also freezing lines once price interacts with them. The gradient color layer communicates regime persistence so users can quickly judge whether a move is maturing or just starting.
What’s different vs. standard approaches?
Baseline reference: Simple pivot labeling and unbuffered break-of-structure tools.
Architecture differences:
Buffered level testing using ticks, percent, or ATR.
Acceptance logic that requires multiple consecutive closes.
Synchronized structure labeling with a single Top and Bottom within the active set.
Progressive support and resistance management that freezes lines on first contact.
Gradient candle and wick coloring driven by consecutive trend counts with windowed normalization and gamma control.
Practical effect: Fewer whipsaw flips, clearer status of active levels, and visual feedback about trend persistence without a secondary pane.
How it works (technical)
The script confirms swing points using left and right bar pivots, then forms a current structure window to classify each pivot as higher high, lower high, higher low, or lower low. Recent labels are trimmed to a user cap, and a postprocess step ensures one highest and one lowest label while preserving side information for the others. Support updates on higher low events, resistance on lower high events. Trend flips only after the close has moved beyond the active level by a chosen buffer and this condition holds for a chosen number of consecutive bars. Lines for new levels extend to the right and freeze once price touches them. A running count of consecutive trend bars produces a strength score, which is normalized over a rolling window, shaped by gamma, and mapped to user-defined dark and neon colors for both up and down regimes. Wick coloring uses `plotcandle`; fallback bar coloring uses `barcolor`. No higher-timeframe data is requested. Signals confirm only after the right-bar lookback of the pivot function.
Parameter Guide
Left Bars / Right Bars (default five each): Pivot sensitivity. Larger values confirm later and reduce noise; smaller values respond faster with more noise.
Draw S/R Lines (default true): Enables support and resistance line creation and updates.
Support / Resistance Colors (lime, red): Line colors for each side.
Line Style (Solid, Dashed, Dotted; default Dotted) and Width (default three): Visual style of S/R lines.
Max Labels & Lines (default ten): Cap for objects to control clutter and resource usage.
Change Bar Color (default true), Up/Down colors (blue, black): Fallback bar coloring when gradients or wick coloring are disabled.
Show Neutral Candles (default false): Optional coloring when no trend is active.
Enable Gradient Bar Colors (default true): Turns on gradient body coloring from the strength score.
Enable Wick Coloring (default true): Colors wicks and borders using `plotcandle`.
Collection Period (default one hundred): Rolling window used to scale the strength score. Shorter windows react faster but vary more.
Gamma Bars / Gamma Plots (defaults zero point seven and zero point eight): Shapes perceived contrast of bar and wick gradients. Lower values brighten early; higher values compress until stronger runs appear.
Gradient Transparency / Wick Transparency (default zero): Visual transparency for bodies and wicks.
Up/Down Trend Dark and Neon Colors: Endpoints for gradient mapping in each regime.
Acceptance closes (n) (default two): Number of consecutive closes beyond a level required before trend flips. Larger values reduce false breaks but react later.
Break buffer (None, Ticks, Percent, ATR; default ATR) and Value (default zero point five) and ATR Len (default fourteen): Defines the safety margin beyond the level. ATR mode adapts to volatility; Percent and Ticks are static.
Reading & Interpretation
Labels: “Top” and “Bottom” mark the most extreme points in the active set; “LT” and “HB” indicate side labels for lower top and higher bottom.
Lines: New support or resistance is drawn when structure confirms. A line freezes once price touches it, signaling that the dynamic phase ended.
Trend: Internal state switches to up or down only after buffered acceptance.
Colors: Brighter neon tones indicate stronger and more persistent runs; darker tones suggest early or weakening runs. When gradients are off, fallback bar colors indicate trend sign.
Practical Workflows & Combinations
Trend following: Wait for a buffered and accepted break through the most recent level, then use gradient intensity to stage entries or scale-ins.
Structure-first filtering: Trade only in the direction of the last accepted trend while price remains above support or below resistance.
Exits and stops: Consider exiting on loss of gradient intensity combined with a return through the most recent structure level.
Multi-asset / Multi-timeframe: Works on liquid symbols across common timeframes. Use larger pivot bars and higher acceptance on lower timeframes. No built-in higher-timeframe aggregation is used.
Behavior, Constraints & Performance
Repaint/confirmation: Pivot confirmation waits for the right bar window; trend acceptance is based on closes and can change during a live bar. Final signals stabilize on bar close.
security/HTF: Not used. No cross-timeframe data.
Resources: Arrays and loops are used for labels, lines, and structure search up to a capped historical span. Object counts are clamped by user input and platform limits.
Known limits: Delayed confirmation at sharp turns due to pivot windows; rapid gaps can jump over buffers; gradient scaling depends on the chosen collection period.
Sensible Defaults & Quick Tuning
Start with the defaults: pivot windows at five, ATR buffer with value near one half, acceptance at two, collection period near one hundred, gamma near zero point seven to zero point eight.
Too many flips: increase acceptance, increase buffer value, or increase pivot windows.
Too sluggish: reduce acceptance, reduce buffer value, or reduce pivot windows.
Colors too flat: lower gamma or shorten the collection period.
Visual clutter: reduce the max labels and lines cap or disable wicks.
What this indicator is—and isn’t
This is a visualization and signal layer that encodes swing structure, level state, and regime persistence. It is not a complete trading system, not predictive, and does not manage orders. Use it with broader context such as higher timeframe structure, session behavior, and defined risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Acknowledgment
Thanks to LonesomeTheBlue for the fantastic and inspiring "Higher High Lower Low Strategy" .
Original script:
Credit for the original concept and implementation goes to the author; any adaptations or errors here are mine.
Smart VWAP FVG SystemSmart VWAP FVG System - Professional Multi-Filter Trading Indicator
📊 OVERVIEW
The Smart VWAP FVG System is an advanced multi-layered trading indicator that combines institutional volume analysis, multi-timeframe VWAP trend confirmation, and Fair Value Gap detection to identify high-probability trade entries. This indicator uses a sophisticated filtering mechanism where signals appear only when multiple independent confirmation criteria align simultaneously.
Recommended Timeframe: 5-minute (M5) or higher. The indicator works best on M5, M15, and M30 charts for intraday trading.
🎯 ORIGINALITY & PURPOSE
This indicator is original because it combines three distinct analytical methods into a unified decision-making system:
Market Profile Volume Analysis - Identifies institutional accumulation/distribution zones
Dual VWAP Filtering - Confirms trend direction using two independent VWAP calculations
Fair Value Gap Detection - Validates institutional interest through price inefficiency zones
The key innovation is the directional filter system: the primary Market Profile generates BUY-ONLY or SELL-ONLY states based on higher timeframe value area reversals, which then controls which signals from the main system are displayed. This creates a multi-timeframe confluence that significantly reduces false signals.
Unlike simple indicator mashups, each component serves a specific purpose:
Market Profile → Direction bias (trend filter)
Primary VWAP (Session) → Short-term trend confirmation
Secondary VWAP (Week) → Medium-term trend confirmation
FVG Detection → Institutional activity validation
🔧 HOW IT WORKS
1. Primary Market Profile Filter (Higher Timeframe)
The indicator calculates Market Profile on a higher timeframe (default: 1 hour) to determine the overall market structure:
Value Area High (VAH): Top 70% of volume distribution
Value Area Low (VAL): Bottom 70% of volume distribution
Point of Control (POC): Price level with highest volume
When price reaches VAH and reverses down → SELL-ONLY mode activated
When price reaches VAL and reverses up → BUY-ONLY mode activated
This higher timeframe filter ensures you're trading in the direction of institutional flow.
2. Dual VWAP System
Two independent VWAP calculations provide multi-timeframe trend confirmation:
Primary VWAP (Session-based): Resets daily, tracks intraday momentum
Secondary VWAP (Week-based): Resets weekly, confirms longer-term trend
Filter Logic:
BUY signals require: Price > Primary VWAP AND Price > Secondary VWAP
SELL signals require: Price < Primary VWAP AND Price < Secondary VWAP
This dual confirmation prevents counter-trend trades during ranging conditions.
3. Fair Value Gap (FVG) Detection
FVG zones identify price inefficiencies where institutional orders were executed rapidly:
Bullish FVG: Gap between candle .high and candle .low (upward imbalance)
Bearish FVG: Gap between candle .high and candle .low (downward imbalance)
The indicator monitors recent FVG formation (lookback: 50 bars) and requires:
Bullish FVG present for BUY signals
Bearish FVG present for SELL signals
FVG zones are displayed as colored boxes and automatically marked as "mitigated" when price fills the gap.
4. Main Trading Signal Logic
The secondary Market Profile (default: 1 hour) generates the actual trading signals:
BUY Signal Conditions:
Price reaches Value Area Low
Reversal pattern confirmed (minimum 1 bar)
Price > Primary VWAP
Price > Secondary VWAP (if filter enabled)
Recent Bullish FVG detected (if filter enabled)
Primary MP Filter = BUY-ONLY or NEUTRAL
SELL Signal Conditions:
Price reaches Value Area High
Reversal pattern confirmed (minimum 1 bar)
Price < Primary VWAP
Price < Secondary VWAP (if filter enabled)
Recent Bearish FVG detected (if filter enabled)
Primary MP Filter = SELL-ONLY or NEUTRAL
All conditions must be TRUE simultaneously for a signal to appear.
📈 VISUAL ELEMENTS
On Chart:
🟢 Green Triangle (▲) = BUY Signal
🔴 Red Triangle (▼) = SELL Signal
🟦 Blue horizontal lines = Value Area zones
🟡 Yellow line = Point of Control (POC)
🟩 Green boxes = Bullish FVG zones
🟥 Red boxes = Bearish FVG zones
🔵 Blue line = Primary VWAP (Session)
⚪ White line = Secondary VWAP (Week)
Info Panel (Top Right):
Real-time status display showing:
Filter Direction (BUY ONLY / SELL ONLY / NEUTRAL)
Active timeframes for both MP filters
FVG filter status and count
VWAP positions (ABOVE/BELOW)
Signal enablement status
Alert status
⚙️ KEY SETTINGS
MP/TPO Filter Settings (Primary Indicator)
MP Filter Time Frame: 60 minutes (controls directional bias)
Filter Value Area %: 70% (standard Market Profile calculation)
Filter Alert Distance: 1 bar
Filter Min Bars for Reversal: 1 bar
Filter Alert Zone Margin: 0.01 (1%)
FVG Filter Settings
Use FVG Filter: Enabled (toggle on/off)
FVG Timeframe: 60 minutes (1 hour)
FVG Filter Mode: Both (require bullish FVG for BUY, bearish for SELL)
FVG Lookback Period: 50 bars (how far back to search)
Show FVG Formation Signals: Optional visual markers
Max FVG on Chart: 50 zones
Show Mitigated FVG: Display filled gaps
Market Profile Settings
Higher Time Frame: 60 minutes (for main signals)
Percent for Value Area: 70%
Show POC Line: Enabled
Keep Old MPs: Enabled (maintain historical profiles)
Primary VWAP Filter
Use Primary VWAP Filter: Enabled
Primary VWAP Anchor Period: Session (resets daily)
Primary VWAP Source: HLC3 (typical price)
Secondary VWAP Filter
Use Secondary VWAP Filter: Enabled
Secondary VWAP Anchor Period: Week (resets weekly)
Secondary VWAP Filter Mode: Both
Secondary VWAP Line Color: White
Trading Signals
Show Trading Signals on Chart: Enabled
Show SELL Signals: Enabled
Show BUY Signals: Enabled
Alert Distance: 1 bar
Min Bars for Reversal: 1 bar
Alert Zone Margin: 0.01 (1%)
Retest Search Period: 20 bars
Min Bars Between Retests: 5 bars
Show Only Retests: Disabled
Alert Settings
Enable Trading Notifications: Enabled
VAH Reversal Alert: Enabled (SELL signals)
VAL Reversal Alert: Enabled (BUY signals)
Time Filter Settings
Filter Alerts By Time: Optional (exclude specific hours)
⚠️ IMPORTANT WARNINGS & LIMITATIONS
1. Repainting Behavior
CRITICAL: This indicator uses lookahead=barmerge.lookahead_on to access higher timeframe data immediately for FVG detection. This is necessary to provide real-time FVG zone visualization but has the following implications:
FVG zones may shift slightly until the higher timeframe candle closes
FVG detection signals are preliminary until HTF bar confirmation
The main trading signals (triangles) appear on confirmed bars and do not repaint
Best Practice: Always wait for the current timeframe bar to close before acting on signals. The filter status and FVG zones are informational but may adjust as new data arrives.
2. Minimum Timeframe
Do NOT use on timeframes below 5 minutes (M5)
Recommended: M5, M15, M30 for intraday trading
Higher timeframes (H1, H4) can also be used but will generate fewer signals
3. Multiple Filters Can Block Signals
By design, this indicator is conservative. When all filters are enabled:
Signals appear ONLY when all conditions align
You may see extended periods with no signals
This is intentional to reduce false positives
If you see no signals:
Check the Info Panel to see which filters are failing
Consider adjusting FVG lookback period
Temporarily disable FVG filter to test
Verify VWAP filters match current market trend
4. Market Profile Limitations
Market Profile requires sufficient volume data
Low-volume instruments may produce unreliable profiles
Value Areas update only on higher timeframe bar close
Works best on liquid markets (major forex pairs, indices, crypto)
📖 HOW TO USE
Step 1: Add to Chart
Apply indicator to M5 or higher timeframe chart
Ensure chart shows volume data
Use standard candles (NOT Heikin Ashi, Renko, etc.)
Step 2: Configure Settings
Primary MP Filter TF: Set to 60 (1 hour) minimum, or 240 (4 hour) for swing trading
Main MP TF: Set to 60 (1 hour) for intraday signals
FVG Timeframe: Match or exceed main MP timeframe
Leave other settings at default initially
Step 3: Understand the Info Panel
Monitor the top-right panel:
FILTER STATUS: Shows current directional bias
NEUTRAL = Both signals allowed
BUY ONLY = Only green triangles will appear
SELL ONLY = Only red triangles will appear
FVG Filter: Shows if bullish/bearish gaps detected recently
VWAP positions: Confirms trend alignment
Step 4: Take Signals
For BUY Signal (Green Triangle ▲):
Wait for green triangle to appear
Check Info Panel shows ✓ for BUY signals
Confirm current bar has closed
Enter long position
Stop loss: Below recent VAL or swing low
Target: Previous Value Area High or 1.5-2× risk
For SELL Signal (Red Triangle ▼):
Wait for red triangle to appear
Check Info Panel shows ✓ for SELL signals
Confirm current bar has closed
Enter short position
Stop loss: Above recent VAH or swing high
Target: Previous Value Area Low or 1.5-2× risk
Step 5: Risk Management
Risk per trade: Maximum 1-2% of account equity
Position sizing: Adjust based on stop loss distance
Avoid trading: During major news events or time filter periods
Multiple confirmations: Look for confluence with price action (support/resistance, trendlines)
🎓 UNDERLYING CONCEPTS
Market Profile Theory
Developed by J. Peter Steidlmayer in the 1980s, Market Profile organizes price and volume data to identify:
Value Areas: Where 70% of trading activity occurred
POC: Price level with highest acceptance (most volume)
Imbalances: When price moves away from value quickly
This indicator uses TPO (Time Price Opportunity) calculation method to build the volume profile distribution.
VWAP (Volume Weighted Average Price)
VWAP represents the average price weighted by volume, showing where institutional traders are positioned:
Price above VWAP = Bullish (institutions accumulated lower)
Price below VWAP = Bearish (institutions distributed higher)
Using dual VWAP (Session + Week) creates multi-timeframe trend alignment.
Fair Value Gaps (FVG)
Also known as "imbalance" or "inefficiency," FVG occurs when:
Price moves so rapidly that a gap forms in the candlestick structure
Indicates institutional order flow (large market orders)
Price often returns to "fill" these gaps (rebalance)
The 3-candle FVG pattern (gap between candle and candle ) is widely used in ICT (Inner Circle Trader) methodology and Smart Money Concepts.
🔍 CREDITS & CODE ATTRIBUTION
This indicator builds upon established technical analysis concepts and combines multiple methodologies:
1. Market Profile / TPO Calculation
Concept Origin: J. Peter Steidlmayer (Chicago Board of Trade, 1980s)
Code Inspiration: TradingView's public domain Market Profile examples
Modifications: Custom filtering logic for directional bias, dual timeframe implementation
2. VWAP Calculation
Concept Origin: Standard financial instrument (widely used since 1980s)
Code Base: TradingView built-in ta.vwap() function (public domain)
Modifications: Dual VWAP system with independent anchor periods, custom filtering modes
3. Fair Value Gap Detection
Concept Origin: Inner Circle Trader (ICT) / Smart Money Concepts methodology
Code Implementation: Original implementation based on 3-candle gap pattern
Features: Multi-timeframe detection, automatic mitigation tracking, visual zone display
4. Pine Script Framework
Language: Pine Script v6 (TradingView)
Built-in Functions Used:
ta.vwap() - Volume weighted average price
request.security() - Higher timeframe data access
ta.change() - Period detection
ta.cum() - Cumulative volume
time() - Timestamp functions
Note: All code is original implementation. While concepts are based on established trading methodologies, the combination, filtering logic, and execution are unique to this indicator.
📊 RECOMMENDED INSTRUMENTS
Best Performance:
Major Forex Pairs (EURUSD, GBPUSD, USDJPY)
Stock Indices (ES, NQ, SPX, DAX)
Major Cryptocurrencies (BTCUSD, ETHUSD)
Liquid Stocks (high daily volume)
Avoid:
Low-volume altcoins
Illiquid stocks
Exotic forex pairs with wide spreads
⚡ PERFORMANCE TIPS
Start Conservative: Enable all filters initially
Reduce Filters Gradually: If too few signals, disable Secondary VWAP filter first
Match Timeframes: Keep MP Filter TF and FVG TF at same value
Backtest First: Review historical performance on your preferred instrument/timeframe
Combine with Price Action: Look for support/resistance confluence
Use Time Filter: Avoid low-liquidity hours (optional setting)
🚫 WHAT THIS INDICATOR DOES NOT DO
Does not guarantee profits - No trading system is 100% accurate
Does not predict the future - Based on historical patterns
Does not replace risk management - Always use stop losses
Does not work on all instruments - Requires volume data and liquidity
Does not provide exact entry/exit prices - Signals are zones, not precise levels
Does not account for fundamentals - Purely technical analysis
📜 DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results.
Trading Risk Warning:
All trading involves risk of loss
You can lose more than your initial investment (leverage products)
Only trade with capital you can afford to lose
Always use appropriate position sizing and risk management
Consider seeking advice from a licensed financial advisor
Technical Limitations:
Indicator may repaint FVG zones until HTF bar closes
Signals are based on historical patterns that may not repeat
Market conditions change and no system works in all environments
Volume data quality varies by exchange/broker
By using this indicator, you acknowledge these risks and agree that the author bears no responsibility for trading losses.
📞 SUPPORT & UPDATES
Questions? Comment on this publication
Issues? Describe the problem with chart screenshot
Feature Requests? Suggest improvements in comments
Updates: Will be published as new versions using TradingView's update feature
📝 VERSION HISTORY
Version 1.0 (Current)
Initial public release
Multi-filter system: MP + Dual VWAP + FVG
Directional bias filter
Real-time info panel
Comprehensive alert system
Time-based filtering
Thank you for using Smart VWAP FVG System!
Happy Trading! 📈
Trap LineOverview
Trap Line is a higher-timeframe trend framework designed to define market regimes using smoothed weekly (1W) and three-week (3W) baselines. Price trading above the line reflects a bullish regime; price below the line reflects a bearish one. The goal is regime discipline—stay aligned with the dominant higher-timeframe direction and avoid late, emotional entries. All parameters are fixed to ensure consistent behavior across symbols.
Core logic (concepts, not full code)
• Computes a Hull-type moving average on 1W and 3W closes (with optional linear-regression pre-filtering) and projects them onto lower timeframes via interpolation.
• Produces a smooth, lag-reduced structural baseline that tracks the weekly trend path.
• Observing price vs. the baseline highlights potential trap zones—temporary breaches that often fail without a confirmed weekly close.
• The 3-Week Trap Line adds a macro confirmation layer and is hidden by default in the Style tab to keep charts clean.
Inputs
• Parameters (length, smoothing type, regression toggle, interpolation mode) are fixed to prevent overfitting and preserve repeatability.
How to read it
• Above the line => bullish regime.
• Below the line => bearish regime.
• A confirmed weekly close through the line suggests a regime transition.
• A weekly close above the line with a green candle supports bullish continuation; a weekly close below the line with a red candle supports bearish continuation.
• Intraweek deviations near the line are often noise and may fade.
Practical use cases
• Weekly bias filter for swing/position frameworks.
• Regime confirmation across related assets or sectors.
• Portfolio overlay: favor long exposure in bullish regimes; reduce risk in bearish regimes.
• Combine with volume or ATR-based tools to assess trend quality.
Best practices
• Wait for the weekly close before declaring regime flips.
• Avoid overreacting to intraweek moves around the baseline.
• Combine with structure analysis (HH/HL vs. LH/LL) and higher-timeframe S/R.
• Use standard time-based candles; avoid interpreting signals on Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Technical notes
• Built on locked higher-timeframe data (1W and 3W).
• Interpolation is used to render HTF structure smoothly on lower charts.
• Non-repainting : values finalize when the higher timeframe closes; lower-TF plotting is interpolated, not forward-looking.
Who it is for
• Traders who want a consistent, rules-based higher-timeframe bias filter.
• Systematic users who prefer fixed-parameter baselines for regime context.
Limitations & disclosures
• Closed-source; educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Includes the 3-Week Trap Line (3W). It is hidden by default in the Style tab; enable it if you want an additional macro confirmation layer.
• Fixed-parameter design (no user-tweakable inputs) for consistent behavior across symbols.
• Non-repainting values finalize on 1W/3W candle close.
Originality & why closed-source
This is not a reimplementation of public open-source scripts. Trap Line uses a specific combination of higher-timeframe Hull smoothing, optional linear-regression pre-filtering, and lower-timeframe interpolation designed to expose trap zones (temporary regime breaches that often fail without a confirmed weekly close). The integration and thresholds are proprietary and tuned to retain weekly structure with reduced lag. The source is closed to protect this implementation.
Integration, not a mashup
Trap Line is a single, self-contained framework. It does not merely merge other indicators; its components are integrated to produce a unified higher-timeframe baseline (1W/3W) with a defined reading protocol (above/below line, weekly-close confirmation, optional candle-color confirmation).
Indicator, not a strategy
This publication provides an indicator overlay , not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as an analytical bias filter within your own risk management.
Comparison to common tools
Compared to standard MAs or SuperTrend-style bands, Trap Line prioritizes (1) higher-timeframe structure fidelity, (2) reduced lag via HMA-type smoothing, and (3) explicit weekly-close confirmation to avoid premature regime flips. The optional 3-Week line acts as a macro confirmation layer and is hidden by default in the Style tab.
Realtime Squeeze Box [CHE] Realtime Squeeze Box — Detects lowvolatility consolidation periods and draws trimmed price range boxes in realtime to highlight potential breakout setups without clutter from outliers.
Summary
This indicator identifies "squeeze" phases where recent price volatility falls below a dynamic baseline threshold, signaling potential energy buildup for directional moves. By requiring a minimum number of consecutive bars in squeeze, it reduces noise from fleeting dips, making signals more reliable than simple threshold crosses. The core innovation is realtime box visualization: during active squeezes, it builds and updates a box capturing the price range while ignoring extreme values via quantile trimming, providing a cleaner view of consolidation bounds. This differs from static volatility bands by focusing on trimmed ranges and suppressing overlapping boxes, which helps traders spot genuine setups amid choppy markets. Overall, it aids in anticipating breakouts by combining volatility filtering with visual containment of price action.
Motivation: Why this design?
Traders often face whipsaws during brief volatility lulls that mimic true consolidations, leading to premature entries, or miss setups because standard volatility measures lag in adapting to changing market regimes. This design addresses that by using a hold requirement on consecutive lowvolatility bars to denoise signals, ensuring only sustained squeezes trigger visuals. The core idea—comparing rolling standard deviation to a smoothed baseline—creates a responsive yet stable filter for lowenergy periods, while the trimmed box approach isolates the core price cluster, making it easier to gauge breakout potential without distortion from spikes.
What’s different vs. standard approaches?
Reference baseline: Traditional squeeze indicators like the Bollinger Band Squeeze or TTM Squeeze rely on fixed multiples of bands or momentum oscillators crossing zero, which can fire on isolated bars or ignore range compression nuances.
Architecture differences:
Realtime box construction that updates barbybar during squeezes, using arrays to track and trim price values.
Quantilebased outlier rejection to define box bounds, focusing on the bulk of prices rather than full range.
Overlap suppression logic that skips redundant boxes if the new range intersects heavily with the prior one.
Hold counter for consecutive bar validation, adding persistence before signaling.
Practical effect: Charts show fewer, more defined orange boxes encapsulating tight price action, with a horizontal line extension marking the midpoint postsqueeze—visibly reducing clutter in sideways markets and highlighting "coiled" ranges that standard plots might blur with full highs/lows. This matters for quicker visual scanning of multitimeframe setups, as boxes selflimit to recent history and avoid piling up.
How it works (technical)
The indicator starts by computing a rolling average and standard deviation over a userdefined length on the chosen source price series. This deviation measure is then smoothed into a baseline using either a simple or exponential average over a longer window, serving as a reference for normal volatility. A squeeze triggers when the current deviation dips below this baseline scaled by a multiplier less than one, but only after a minimum number of consecutive bars confirm it, which resets the counter on breaks.
Upon squeeze start, it clears a buffer and begins collecting source prices barbybar, limited to the first few bars to keep computation light. For visualization, if enabled, it sorts the buffer and finds a quantile threshold, then identifies the minimum value at or below that threshold to set upper and lower box bounds—effectively clamping the range to exclude tails above the quantile. The box draws from the start bar to the current one, updating its right edge and levels dynamically; if the new bounds overlap significantly with the last completed box, it suppresses drawing to avoid redundancy.
Once the hold limit or squeeze ends, the box freezes: its final bounds become the last reference, a midpoint line extends rightward from the end, and a tiny circle label marks the point. Buffers and states reset on new squeezes, with historical boxes and lines capped to prevent overload. All logic runs on every bar but uses confirmed historical data for calculations, with realtime updates only affecting the active box's position—no future peeking occurs. Initialization seeds with null values, building states progressively from the first bars.
Parameter Guide
Source: Selects the price series (e.g., close, hl2) for deviation and box building; influences sensitivity to wicks or bodies. Default: close. Tradeoffs/Tips: Use hl2 for balanced range view in volatile assets; stick to close for pure directional focus—test on your timeframe to avoid oversmoothing trends.
Length (Mean/SD): Sets window for average and deviation calculation; shorter values make detection quicker but noisier. Default: 20. Tradeoffs/Tips: Increase to 30+ for stability in higher timeframes, reducing false starts; below 10 risks overreacting to singlebar noise.
Baseline Length: Defines smoothing window for the deviation baseline; longer periods create a steadier reference, filtering regime shifts. Default: 50. Tradeoffs/Tips: Pair with Length at 1:2 ratio for calm markets; shorten to 30 if baselines lag during fast volatility drops, but watch for added whips.
Squeeze Multiplier (<1.0): Scales the baseline downward to set the squeeze threshold; lower values tighten criteria for rarer, stronger signals. Default: 0.8. Tradeoffs/Tips: Tighten to 0.6 for highvol assets like crypto to cut noise; loosen to 0.9 in forex for more frequent but shallower setups—balances hit rate vs. depth.
Baseline via EMA (instead of SMA): Switches baseline smoothing to exponential for faster adaptation to recent changes vs. equalweighted simple average. Default: false. Tradeoffs/Tips: Enable in trending markets for quicker baseline drops; disable for uniform history weighting in rangebound conditions to avoid overreacting.
SD: Sample (len1) instead of Population (len): Adjusts deviation formula to divide by length minus one for smallsample bias correction, slightly inflating values. Default: false. Tradeoffs/Tips: Use sample in short windows (<20) for more conservative thresholds; population suits long looks where bias is negligible, keeping signals tighter.
Min. Hold Bars in Squeeze: Requires this many consecutive squeeze bars before confirming; higher denoise but may clip early setups. Default: 1. Tradeoffs/Tips: Bump to 35 for intraday to filter ticks; keep at 1 for swings where quick consolidations matter—trades off timeliness for reliability.
Debug: Plot SD & Threshold: Toggles lines showing raw deviation and threshold for visual backtesting of squeeze logic. Default: false. Tradeoffs/Tips: Enable during tuning to eyeball crossovers; disable live to declutter—great for verifying multiplier impact without alerts.
Tint Bars when Squeeze Active: Overlays semitransparent color on bars during open box phases for quick squeeze spotting. Default: false. Tradeoffs/Tips: Pair with low opacity for subtlety; turn off if using boxes alone, as tint can obscure candlesticks in dense charts.
Tint Opacity (0..100): Controls background tint strength during active squeezes; higher values darken for emphasis. Default: 85. Tradeoffs/Tips: Dial to 60 for light touch; max at 100 risks hiding price action—adjust per chart theme for visibility.
Stored Price (during Squeeze): Price series captured in the buffer for box bounds; defaults to source but allows customization. Default: close. Tradeoffs/Tips: Switch to high/low for wider boxes in gappy markets; keep close for midline focus—impacts trim effectiveness on outliers.
Quantile q (0..1): Fraction of sorted prices below which tails are cut; higher q keeps more data but risks including spikes. Default: 0.718. Tradeoffs/Tips: Lower to 0.5 for aggressive trim in noisy assets; raise to 0.8 for fuller ranges—tune via debug to match your consolidation depth.
Box Fill Color: Sets interior shade of squeeze boxes; semitransparent for layering. Default: orange (80% trans.). Tradeoffs/Tips: Soften with more transparency in multiindicator setups; bold for standalone use—ensures boxes pop without overwhelming.
Box Border Color: Defines outline hue and solidity for box edges. Default: orange (0% trans.). Tradeoffs/Tips: Match fill for cohesion or contrast for edges; thin width keeps it clean—helps delineate bounds in zoomed views.
Keep Last N Boxes: Limits historical boxes/lines/labels to this count, deleting oldest for performance. Default: 10. Tradeoffs/Tips: Increase to 50 for weekly reviews; set to 0 for unlimited (risks lag)—balances history vs. speed on long charts.
Draw Box in Realtime (build/update): Enables live extension of boxes during squeezes vs. waiting for end. Default: true. Tradeoffs/Tips: Disable for confirmedonly views to mimic backtests; enable for proactive trading—adds minor repaint on live bars.
Box: Max First N Bars: Caps buffer collection to initial squeeze bars, freezing after for efficiency. Default: 15. Tradeoffs/Tips: Shorten to 510 for fast intraday; extend to 20 in dailies—prevents bloated arrays but may truncate long squeezes.
Reading & Interpretation
Squeeze phases appear as orange boxes encapsulating the trimmed price cluster during lowvolatility holds—narrow boxes signal tight consolidations, while wider ones indicate looser ranges within the threshold. The box's top and bottom represent the quantilecapped high and low of collected prices, with the interior fill shading the containment zone; ignore extremes outside for "true" bounds. Postsqueeze, a solid horizontal line extends right from the box's midpoint, acting as a reference level for potential breakout tests—drifting prices toward or away from it can hint at building momentum. Tiny orange circles at the line's start mark completion points for easy scanning. Debug lines (if on) show deviation hugging or crossing the threshold, confirming hold logic; a persistent hug below suggests prolonged calm, while spikes above reset counters.
Practical Workflows & Combinations
Trend following: Enter long on squeezeend close above the box top (or midpoint line) confirmed by higher high in structure; filter with rising 50period average to avoid countertrend traps. Use boxes as support/resistance proxies—short below bottom in downtrends.
Exits/Stops: Trail stops to the box midpoint during postsqueeze runs for conservative holds; go aggressive by exiting on retest of opposite box side. If debug shows repeated threshold grazes, tighten stops to curb drawdowns in ranging followups.
Multiasset/MultiTF: Defaults work across stocks, forex, and crypto on 15min+ frames; scale Length proportionally (e.g., x2 on hourly). Layer with highertimeframe boxes for confluence—e.g., daily squeeze + 1H box for entry timing. (Unknown/Optional: Specific multiTF scaling recipes beyond proportional adjustment.)
Behavior, Constraints & Performance
Repaint/confirmation: Core calculations use historical closes, confirming on bar close; active boxes repaint their right edge and levels live during squeezes if enabled, but freeze irrevocably on hold limit or end—mitigates via barbybar buffer adds without future leaks. No lookahead indexes.
security()/HTF: None used, so no external timeframe repaints; all native to chart resolution.
Resources: Caps at 300 boxes/lines/labels total; small arrays (up to 20 elements) and short loops in sorting/minfinding keep it light—suitable for 10k+ bar charts without throttling. Persistent variables track state across bars efficiently.
Known limits: May lag on ultrasharp volatility spikes due to baseline smoothing; gaps or thin markets can skew trims if buffer hits cap early; overlaps suppress visuals but might hide chained squeezes—(Unknown/Optional: Edge cases in nonstandard sessions).
Sensible Defaults & Quick Tuning
Start with defaults for most liquid assets on 1Hdaily: Length 20, Multiplier 0.8, Hold 1, Quantile 0.718—yields balanced detection without excess noise. For too many false starts (choppy charts), increase Hold to 3 and Baseline Length to 70 for stricter confirmation, reducing signals by 3050%. If squeezes feel sluggish or miss quick coils, shorten Length to 14 and enable EMA baseline for snappier adaptation, but monitor for added flips. In highvol environments like options, tighten Multiplier to 0.6 and Quantile to 0.6 to focus on core ranges; reverse for calm pairs by loosening to 0.95. Always backtest tweaks on your asset's history.
What this indicator is—and isn’t
This is a volatilityfiltered visualization tool for spotting and bounding consolidation phases, best as a signal layer atop price action and trend filters—not a standalone predictor of direction or strength. It highlights setups but ignores volume, momentum, or news context, so pair with discreteness rules like higher highs/lows. Never use it alone for entries; always layer risk management, such as 12% stops beyond box extremes, and position sizing based on account drawdown tolerance.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on HeikinAshi, Renko, Kagi, PointandFigure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
SevenDayHighLowTableWithBoxes [CHE]SevenDayHighLowTableWithBoxes — Seven-day day-range boxes with a weekday-aware “ghost” projection and a compact table that tracks recent extremes and per-weekday hit rates.
Summary
This indicator visualizes each trading day as a colored box and annotates the final high and low with compact markers. It maintains a rolling seven-day view and a five-column table showing day name, high, low, range, and a per-weekday projection hit statistic. A dashed “ghost” box projects a typical range for the current weekday using a running average and an adjustable scaling factor. The script is written in Pine v6, runs on the main chart (overlay true), and emphasizes stable object handling and closed-bar finalization at day boundaries.
Motivation: Why this design?
Intraday traders often need fast context for where today’s price sits relative to recent daily extremes, without switching timeframes. A simple daily high/low overlay is informative but lacks structure, sizing context, and continuity. By grouping bars into local days (configurable UTC offset), drawing explicit boxes, and projecting a weekday-typical range, the chart becomes easier to scan. The compact table gives a quick audit trail of the latest seven days while tracking how often the weekday projection would have covered the realized range.
What’s different vs. standard approaches?
Reference baseline: Plain daily high/low lines or session boxes without context.
Architecture differences:
Weekday-tinted boxes and labels for today plus up to six prior days.
Weekday average range drives a dashed projection (“ghost”) sized by a user-defined percentage.
Per-weekday hit statistics recorded as hits over totals and displayed in the table.
ATR-based vertical offsets keep labels readable.
Live updates intraday; state is finalized at the local day switch.
Practical effect: The chart shows where current price sits inside a known daily envelope, plus how “typical” the day’s movement is for this weekday, aiding expectations and planning.
How it works (technical)
The script computes a local daily timestamp using the user’s UTC offset. A day change finalizes the prior day, writes its high, low, start and end indices, and records the bar indices of the terminal high and low.
For each weekday, it maintains a running average of realized ranges with a cap on the lookback count. The ghost projection length is the weekday average scaled by the user’s percentage setting.
Anchor selection for the ghost uses the most recent extreme and the close relative to the intraday midpoint to choose a low-anchored or high-anchored box.
A five-column table (Day, High, Low, Range, Ghost OK) is refreshed on the last bar. The “Ghost OK” column shows per-weekday cumulative hits over totals with a percentage, calculated before including the just-finished day.
Object counts are bounded to seven days by pruning arrays and deleting old boxes and labels. Visual updates for historical objects occur on the last bar to minimize overhead. No `security()` calls are used.
Parameter Guide
UTC (+/−) — Controls local day boundaries — Default: minus five hours — Set to your venue’s local time.
Session (for Time gate) — Session string — Default: full week — (Optional) computed internally; not applied to gating.
Show 7-Day High/Low Table — Toggles the table — Default: true — Disable to reduce UI load.
Show Day Boxes in Chart — Toggles day boxes — Default: true — Disable for a cleaner chart.
Table Position — Nine-point anchor — Default: Middle Right — Move to avoid overlap.
Table Background / Text Color / Min Cell Width — Styling controls — Defaults: gray background, white text, width twelve characters.
Weekday Colors (Sun…Sat) — Row and box tints — Defaults: semi-transparent hues — Adjust for your theme.
Triangle Transparency — Marker opacity — Default: zero — Increase to fade high/low dots.
Day Label Transparency — Day name opacity — Default: zero — Increase to reduce emphasis.
Box Border Width — Box stroke width — Default: one — Increase for stronger edges.
Extend Boxes Right — Extend current box — Default: false — Useful for forward planning.
Show Average Range Ghost Box — Dashed projection — Default: true — Disable if distracting.
Ghost Border Color / Width — Ghost styling — Defaults: gray, width one.
Ghost Length percent of AvgRange — Projection scale — Default: one hundred; bounds zero to five hundred — Lower to be conservative.
Max History Days for Average — Cap per-weekday averaging — Default: two hundred fifty-two; bounds thirty to five hundred.
ATR Length / Day Label ATR Multiplier / Triangle Up ATR Multiplier / Triangle Down ATR Multiplier — Offsets for label placement — Defaults: length one hundred; multipliers zero — Increase on dense instruments to prevent overlap.
Reading & Interpretation
Day boxes: The filled rectangle marks each day’s full high-low span; color encodes the weekday.
Markers: Small dots near the terminal high and low highlight where the final extremes occurred.
Ghost box: A dashed box sized by the weekday average range, anchored based on recent behavior. It is a typical span, not a target.
Table: Row one shows “Today”. Rows below list up to six prior days. “Ghost OK” shows per-weekday cumulative hits over totals with a percentage, which reflects historical coverage quality for that weekday.
Practical Workflows & Combinations
Trend following: Use the current box plus recent boxes to read expansion or compression days; combine with basic structure such as higher-highs and higher-lows or lower-lows and lower-highs for confirmation.
Exits and risk: When price nears the ghost boundary late in the session, consider managing exposure more conservatively.
Multi-asset and multi-timeframe: Works on minute charts. As a starting point, use five to less than sixty minutes. For cross-checks, pair with a higher timeframe bias filter.
Behavior, Constraints & Performance
Repaint/confirmation: The indicator updates intraday; extremes and ghost position can move while the day is open. Values are finalized on the next local day start.
HTF/security: None used; repaint risk is limited to live-bar movement.
Resources: `max_bars_back` five thousand; arrays are pruned to seven days; the table and color sync run on the last bar; the live ghost updates only in real time.
Known limits: Weekday averages can be unrepresentative during regime shifts, events, or gaps. Day boundaries depend on the UTC offset being set correctly. No alerts are included. The script displays warning labels when the timeframe is below five minutes or at sixty minutes and above.
Sensible Defaults & Quick Tuning
Start with the defaults.
Ghost too aggressive: Lower the percent scale.
Labels overlap: Increase ATR multipliers.
Clutter or performance issues: Hide the table or boxes, or disable the ghost.
Day boundary misaligned: Adjust the UTC offset to your market.
What this indicator is—and isn’t
This is a visualization and context layer for daily extremes and a weekday-based typical span. It does not predict direction, does not manage orders, and is not a complete trading system. Use it alongside market structure, risk controls, and position management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
MACD Remastered [CHE]MACD Remastered — Robust MACD with confirmed pivot-based divergence, optional signal bands, and ready-to-use alerts.
Summary
This indicator augments classic MACD with a robust, confirmed pivot-based divergence engine and an optional signal channel using Bollinger Bands. Divergence signals are only produced after a pivot is confirmed, which reduces noise from transient swings. A line-of-sight clearance check filters cases where the MACD histogram path contradicts the divergence, further cutting false flags. Histogram coloring clarifies momentum changes, while optional triangles project the same signals onto the main chart for quick context.
Motivation: Why this design?
Standard MACD divergence tools tend to fire early in volatile phases and flip during consolidation. The core idea here is to delay decision points until a pivot is confirmed and to validate the path between pivots. This addresses fake flips and improves signal credibility at the cost of some latency. Optional bands around the Signal line add context about compression and expansion without altering MACD’s core behavior.
What’s different vs. standard approaches?
Reference baseline: Classical MACD (fast and slow moving averages, Signal line, histogram) with simple divergence checks.
Architecture differences:
Confirmed pivot logic with left and right bars.
Line-of-sight clearance test across the histogram path between pivots.
Optional Signal-line Bollinger Bands with configurable length and width.
Composite “Any Divergence” alert plus separate regular and hidden alerts.
Optional main-chart triangles using forced overlay for at-a-glance context.
Practical effect: Fewer early or contradictory divergence signals, clearer momentum context via histogram colors and a visible Signal channel during compression and expansion.
How it works (technical)
The MACD line derives from a fast and a slow moving average on a chosen source. The Signal line smooths the MACD line using a selected moving average type and length. The histogram is the difference between MACD and Signal and is colored by direction and acceleration.
Divergence uses confirmed pivots: a pivot forms only after a set number of bars on the right side, so the event is locked in. The engine retrieves the last two relevant pivots and checks price movement versus the MACD histogram movement to classify regular or hidden divergence. A line-of-sight clearance routine traverses the histogram path between the two pivots and rejects the signal if the path invalidates the directional relationship. When enabled, Bollinger Bands are plotted around the Signal line; width scales with standard deviation. Programmatic alerts fire only on confirmed bars. No higher-timeframe requests are used.
Parameter Guide
Oscillator MA Type — Sets fast and slow MA family for MACD. Default: EMA. Tip: EMA is more responsive; SMA is steadier.
Fast Length — Fast MA period. Default: 12. Trade-off: Shorter is quicker but noisier.
Slow Length — Slow MA period. Default: 26. Trade-off: Longer reduces noise but adds lag.
Source — Price input. Default: Close. Tip: Use a stable source for consistency.
Signal MA Type — Moving average family for Signal. Default: EMA.
Signal Length — Smoothing of MACD into Signal. Default: 9. Trade-off: Longer smooths more, reacts slower.
Calculate Divergence — Enables divergence engine. Default: True.
Enable Bollinger Bands on Signal — Adds bands around Signal. Default: False.
BB Length — Sampling window for bands. Default: 20. Active: Only when bands are enabled.
BB StdDev — Band width in standard deviations. Default: 2.0. Bounds: between about zero point zero zero one and fifty.
Pivot Left / Pivot Right — Bars to the left and right that define a confirmed pivot. Default: five and five. Trade-off: Larger values mean stronger but slower pivots.
Min / Max Bars Between Pivots — Valid window between two pivots. Default: five and sixty. Tip: Increase minimum to reduce micro-divergences.
Detect Hidden — Include hidden divergence. Default: True.
Draw Lines — Draw connector lines on the MACD pane. Default: True.
Alerts: Enable / Regular / Hidden / Frequency / Prefix — Control alert emission, categories, cadence, and label. Defaults: Enabled, both categories on, once per bar close, prefix “MACD RM”.
Reading & Interpretation
Histogram: Columns above zero reflect positive momentum; below zero reflect negative momentum. Color shifts indicate momentum increasing or decreasing within each side.
MACD and Signal: Crosses and distance indicate momentum shifts and strength. When bands are enabled, touches and departures hint at compression and expansion around the Signal.
Divergence: Solid green lines and labels indicate regular bullish; solid red indicate regular bearish. Dashed teal and dashed orange denote hidden bullish and hidden bearish. Triangles on the main chart mirror these events for quicker visibility.
Practical Workflows & Combinations
Trend following: Use histogram color transitions with a structure filter such as higher highs and higher lows for long bias, or lower highs and lower lows for short bias. Divergence against the prevailing structure suggests caution or partial exits.
Exits and risk: In a long, regular bearish divergence near resistance can justify scaling out or tightening stops. Hidden divergence in the trend direction can support continuation but should not replace risk controls.
Multi-asset / Multi-timeframe: Works across liquid futures, forex, indices, and large-cap equities. Start with defaults on four-hour and daily; shorten lengths on intraday only when liquidity is strong.
Behavior, Constraints & Performance
Repaint and confirmation: Signals are anchored only after the right-side pivot bars complete; alerts trigger on confirmed bars. This intentionally adds latency to reduce noise.
No higher-timeframe requests: No `security` calls are used; repaint risk is primarily tied to live bars before confirmation.
Resources: Declared `max_bars_back` is five hundred. The divergence path check iterates between pivots, bounded by the maximum bars parameter. Line objects may accumulate; limits are set for lines and labels.
Known limits: Latency at sharp turns, potential misses during fast single-bar reversals, and sensitivity to extremely choppy sessions if minimum gap between pivots is set too low.
Sensible Defaults & Quick Tunin g
Starting point: EMA, twelve and twenty-six with Signal nine; pivots five and five; minimum five, maximum sixty; alerts on close; bands off.
Too many flips: Increase Signal length, raise pivot counts, and increase minimum bars between pivots. Consider disabling hidden divergence.
Too sluggish: Reduce pivot counts, lower Signal length, and enable bands to visualize early compression.
Cluttered chart: Keep lines off and rely on labels and main-chart triangles. Use the alert prefix to route events cleanly.
What this indicator is—and isn’t
This is a visualization and signal layer for MACD with confirmed, path-checked divergence and optional Signal bands. It is not a trading system, not predictive, and not a position management framework. Use it together with structure analysis, liquidity context, and explicit risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
The DTC Indicator The Day Trading Channel EditionOverview
The DTC Indicator is a precision-built engulfing confirmation system developed by The Day Trading Channel to simplify structured, session-based trading.
It identifies high-probability engulfing setups during user-defined sessions, automatically marks entry levels, and visualizes target/invalidation zones in real time.
The tool provides traders with a clean, rules-driven framework to analyze market structure objectively without relying on subjective interpretation or multi-indicator clutter.
The DTC Indicator is designed for day traders who value logic over luck — offering full control over session windows, confirmation filters, and risk parameters.
Core Concept
At its foundation, the DTC Indicator revolves around a straightforward yet powerful principle:
The first few candles of a session often define the directional intent of the market.
The script scans the initial candles of each active session for bullish or bearish engulfing structures — one of the most reliable candlestick confirmations in price action theory.
Once identified, it automatically logs the entry price, stop-loss, and take-profit levels based on the trader’s configured risk-to-reward ratio.
From there, the indicator takes over visual tracking — plotting live boxes for target and invalidation levels, marking outcome labels (TP/SL), and updating the internal statistics dashboard to keep a running log of all observed setups.
Key Features
🎯 Session Control & Customization
• Define up to four unique trading sessions (e.g., London, New York, Sydney, Asian).
• Each session is independently configurable, allowing traders to isolate setups only during high-activity periods.
• Visually differentiated sessions make it easy to monitor which time windows produce the best consistency.
🧩 Engulfing Confirmation Logic
• Detects bullish engulfing when a candle fully engulfs the body of the previous bearish candle.
• Detects bearish engulfing when a candle fully engulfs the body of the previous bullish candle.
• Signal confirmation is session-aware — only triggers within the specified start-window of each session.
• False positives are filtered out automatically if price fails to close beyond the engulfing range.
📊 Dynamic Entry Snapshot System
• Every valid setup is recorded as a “snapshot,” capturing the entry price, target, and invalidation levels.
• Boxes are drawn live on the chart, extending until price hits either the target or invalidation.
• Once resolved, the outcome is logged into the performance dashboard automatically.
🧮 Performance Dashboard
• Displays key stats directly on-chart:
Total setups
true / false
true-rate percentage
Latest signal direction
Last target & invalidation values
• The dashboard automatically filters by date range, letting traders review historical session performance.
🔔 Smart Alerts
• Optional alerts trigger on confirmed setups.
• Each alert message includes symbol, timeframe, direction, target/invalidation values, and timestamp.
• Compatible with TradingView’s webhook system for automation or third-party integration.
🎨 Visual Customization
• Choose between Modern Blue, Classic Green-Red , and Gold Edition color themes.
• Adjustable label size, box opacity, line thickness, and text color.
• Option to toggle boxes, lines, or only retain labels for a minimal layout.
Why It’s Different
The DTC Indicator isn’t another candlestick detector — it’s a structured visual journal of real-time session behavior.
Instead of cluttering the screen with redundant signals, it focuses on clarity: showing you when a session produces genuine intent, and how price reacts to that intent across multiple timeframes.
Each setup becomes a mini “trade story” — logged, tracked, and concluded.
This gives traders powerful visual feedback on how specific sessions behave and how consistent a setup truly is over time.
Recommended Use Cases
• Intraday Forex and Gold (XAUUSD) trading
• Scalping and short-term swing trading on 1 hour charts
• Session-based backtesting for pattern validation
• Visual trade journaling and post-session analysis
Recommended Defaults:
Timeframe: 1-hour (h1)
Risk-Reward Ratio: 1 : 2.5
Primary Sessions: London, New York
Commission & Margin (recommended table display) : 0.02% commission, 1:100 margin
Limitations & Transparency Notice
• The indicator tracks simulated outcomes only; it does not represent executed trades.
• Historical win-rates are observational, not predictive of future performance.
• Non-standard chart types (Heikin-Ashi, Renko, Range) are not supported for engulfing detection.
• All results are based on visual backtesting and should be interpreted as educational data.
Access & Licensing
This invite-only version of the DTC Indicator is maintained and distributed by The Day Trading Channel .
Access may be granted to selected traders, educational partners, or evaluation firms for research and testing purposes.
Unauthorized redistribution, decompilation, or commercial replication of the script is strictly prohibited.
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice, investment recommendations, or trade execution signals.
Trading financial markets carries risk — users are solely responsible for their decisions and results.
© 2025 The Day Trading Channel. All Rights Reserved.
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics
Summary
This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime.
Pine version: v6
Overlay: false
Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table
Motivation: Why this design?
Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime.
What’s different vs. standard approaches?
Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests.
Architecture differences:
Hardcoded A and B length families with a bucket map derived from the chart timeframe.
No `request.security`; all calculations occur on the current series.
Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band.
Diagnostics table for transparency.
Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions.
How it works (technical)
The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close.
Parameter Guide
Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag.
Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets.
Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action.
Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations.
Dark Mode — Table theme — Default: Enabled — Match your chart background for readability.
Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane.
Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero.
Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster.
Reading & Interpretation
Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased.
MACD vs. Signal lines: The spread corresponds to histogram height.
Regimes:
Strong bull: MACD above zero and Histogram above zero.
Weak bull: MACD above zero and Histogram below zero.
Strong bear: MACD below zero and Histogram below zero.
Weak bear: MACD below zero and Histogram above zero.
Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description.
Practical Workflows & Combinations
Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation.
Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn.
Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes.
Behavior, Constraints & Performance
Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings.
Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols.
Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals.
Sensible Defaults & Quick Tuning
Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars.
Too many flips near zero: increase the dead-band slightly or raise the acceptance bars.
Too sluggish in clean trends: reduce the acceptance bars by one.
Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars.
Want less clutter: hide the table and keep the alert.
What this indicator is—and isn’t
This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
