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Volatility Trail [BOSWaves]Volatility Trail - Hull-Anchored ATR Trail with Gradient Cloud Radiation and Multi-Mode Candle Scoring Overview Volatility Trail is a Hull-anchored trend trailing system that constructs an ATR-scaled ratcheting trail from a Hull Moving Average baseline, where trend state, gradient cloud geometry, and candle coloring intensity are driven by the relationship between price and the adaptive trail rather than by fixed thresholds or static band crossovers. Instead of relying on conventional moving average crossovers or symmetric bands, trend state is determined by a one-directional ratcheting trail that advances in the trend direction and locks in progress, only flipping when price closes through the trail level in the opposing direction. The trail distance from the Hull baseline scales with ATR, ensuring the ratchet respects current volatility conditions rather than applying a fixed distance regardless of market behavior. This creates a trailing trend framework that combines a responsive Hull baseline with a volatility-calibrated ratchet mechanism, a radiating four-layer gradient cloud that visually maps the space between trail and price, and a configurable candle coloring system that scores each bar by distance from the trail, trail acceleration, or both, producing a chart where candle brightness communicates conviction intensity rather than merely indicating direction. Price is therefore evaluated not just for its position relative to the trail but for how far it has extended from it and how fast the trail itself is advancing, providing a multi-dimensional conviction reading through the visual layers of the indicator. Conceptual Framework Volatility Trail is founded on the principle that a trailing trend system should do three things simultaneously: define trend state through a ratcheting mechanism that locks in directional progress, communicate the spatial relationship between price and the trail through a graduated visual field, and score candle conviction based on measurable characteristics of that relationship rather than applying uniform coloring regardless of momentum state. Traditional trailing indicators provide a line that defines trend direction but offer no framework for understanding how convincingly price is separated from that line or whether the trail itself is accelerating. This framework adds those dimensions through the gradient cloud and candle scoring systems, transforming a single trail line into a complete visual conviction map that reveals both where price is relative to the trail and the dynamic quality of the separation between them. Three core principles guide the design: The trail should ratchet in the trend direction using ATR-scaled distance from a Hull baseline, locking in progress and only reversing when price demonstrates a genuine closing breach rather than a temporary excursion. The space between the trail and price should be visualized as a graduated gradient field with multiple opacity layers that radiates from the trail toward price, communicating proximity and separation depth visually rather than numerically. Candle coloring should reflect measurable conviction characteristics through configurable scoring modes, dimming bars with weak conviction and brightening bars with strong distance or acceleration readings to encode momentum quality into the candlestick display. This shifts trailing trend analysis from single-line direction tracking into a multi-layer conviction visualization where the trail, cloud, and candles collectively communicate trend state, spatial conviction, and momentum quality simultaneously. Theoretical Foundation The indicator combines Hull Moving Average baseline construction, ATR-scaled ratcheting trail mechanics, four-layer gradient cloud construction using proportional gap interpolation, and a dual-mode candle scoring system based on distance normalization and trail acceleration measurement. The Hull Moving Average provides a low-lag directional baseline that reduces the smoothing delay of standard moving averages while maintaining noise resistance. The trail ratchets by advancing the lower band as a minimum during uptrends and the upper band as a maximum during downtrends, preventing the trail from retreating against price and locking in each bar's progress. The gradient cloud divides the gap between trail and price into four proportionally spaced bands at 20, 40, 65, and 85 percent of the total gap, filling each interval with progressively increasing transparency to create a radiating visual field. Candle scoring normalizes either distance from trail or trail advancement speed against ATR, applies a power transformation to suppress weak readings, and maps the result to a gradient between a neutral dim color and the full trend color. Four internal systems operate in tandem: Hull ATR Trail Engine : Calculates the Hull MA baseline and derives upper and lower ATR-scaled bands, maintaining a ratcheting trail that advances with the trend and flips to the opposing band only when price closes through the current trail level. Gradient Cloud System : Computes four proportional interpolation points between the smoothed trail and price, plots invisible bands at each point, and fills the intervals with opacity-graduated fills that intensify near the trail and fade toward price, producing a radiating cloud effect. Candle Scoring Engine : Measures distance from trail normalized by ATR and trail advancement speed normalized by ATR fraction, applies a power exponent to crush weak scores, and maps the resulting score to a gradient from a dim neutral color to the full trend color through configurable distance, acceleration, or combined scoring modes. Retest Detection System : Monitors price proximity to the trail after the signal buffer period, triggering retest diamonds when price approaches within an ATR-fraction zone of the trail without crossing it, with per-side cooldown enforcement between consecutive signals. This design allows the trail to provide clean directional state through ratcheting mechanics while the cloud and candle systems layer spatial and momentum conviction context onto the same chart space. How It Works Volatility Trail evaluates price through a sequence of trail-aware and conviction-scoring processes: Source Selection : The price source used for Hull calculation and trail comparison is selected from Close, HL2, HLC3, or OHLC4, allowing the baseline to be anchored to the most appropriate price representation for the target instrument. Hull Baseline Calculation : The Hull Moving Average is calculated over the configured length from the selected source, providing a low-lag directional reference that minimises the lag penalty of standard moving averages. ATR Band Derivation : Upper and lower bands are calculated by adding and subtracting ATR multiplied by the configured factor from the Hull baseline, producing volatility-scaled boundaries that adapt to changing market conditions. Trail Ratcheting : During an uptrend the trail advances as the maximum of the lower band and the prior trail, preventing retreat against price. During a downtrend it advances as the minimum of the upper band and the prior trail. When price closes through the current trail the trend flips and the trail resets to the opposing band. Trail Display Smoothing : An EMA smoothing pass over the configurable length is applied to the trail for display purposes, producing a visually cleaner line while signals continue to fire from the raw unsmoothed trail. Gradient Cloud Construction : The gap between the smoothed trail and close is calculated and four interpolation points are derived at proportional fractions of that gap. Each interval between adjacent points is filled with a directional color at progressively increasing transparency, producing a graduated cloud that radiates from the trail outward toward price. Distance Scoring : The absolute distance between close and the smoothed trail is divided by three times ATR to produce a normalized 0-1 distance score, measuring how far price has extended from the trail relative to recent volatility. Acceleration Scoring : Trail advancement speed is measured as the absolute change in trail position over the acceleration lookback, normalized by a fraction of ATR, producing a 0-1 score reflecting how quickly the trail is currently advancing. Score Combination and Power Transform : Depending on the selected candle mode, the distance score, acceleration score, or their maximum is selected, then raised to the power of 2.5 to suppress low-conviction readings and concentrate brightness at genuinely strong bars. Candle Color Mapping : The transformed score maps from a fixed dim neutral color at zero to the full trend color at one, producing candles that are nearly invisible during low-conviction conditions and fully saturated during strong extension or acceleration events. Retest Diamond Detection : After the signal buffer period from the most recent flip, price approaching within a fraction of ATR of the trail without crossing it triggers a directional retest diamond, with per-side cooldown enforced between consecutive signals. Together, these elements form a continuously updating trail system where ratcheting mechanics define direction, gradient cloud layers map spatial conviction, and candle scoring communicates momentum quality across every bar of the trend. Interpretation Volatility Trail should be interpreted as a ratcheting trend system with radiating conviction geometry and multi-mode candle intensity scoring: Bullish Trend State (Green) : Active when the trail has ratcheted below price and price has not closed below it, with the gradient cloud radiating upward from the trail toward the current bar. Bearish Trend State (Red) : Active when the trail has ratcheted above price and price has not closed above it, with the gradient cloud radiating downward from the trail toward the current bar. Trail Line : The smoothed ratcheting trail provides the primary directional boundary, advancing with the trend and serving as the structural invalidation level for the current directional state. Gradient Cloud : Four fills between the trail and price create a radiating opacity field that intensifies near the trail and fades toward price, visually encoding the spatial relationship between the ratchet boundary and current price action. A thick, prominent cloud indicates substantial separation, while a thin cloud suggests price is close to the trail and near potential retest territory. Distance Mode Candles : Candle brightness reflects how far price has extended from the trail relative to ATR. Bright candles indicate substantial separation, dim candles indicate proximity to the trail. Acceleration Mode Candles : Candle brightness reflects how fast the trail itself is advancing. Bright candles indicate the trail is moving quickly with the trend, dim candles indicate the trail is stalling. Both Mode Candles : Candle brightness reflects the maximum of distance and acceleration scores, brightening when either strong extension or strong trail advancement is present. ▲ Buy Signals : Green triangles mark upward trail flips where trend has switched from bearish to bullish and the trail has reset to the lower ATR band. ▼ Sell Signals : Red triangles mark downward trail flips where trend has switched from bullish to bearish and the trail has reset to the upper ATR band. ◆ Retest Diamonds : Small diamonds plotted below bars during bullish retests and above bars during bearish retests when price approaches within the retest zone of the trail after the signal buffer period, identifying potential continuation interaction points with the trailing boundary. Trail position, cloud depth, candle brightness, and retest diamond placement collectively provide more conviction information than trend direction alone. Signal Logic & Visual Cues Volatility Trail presents two primary trail flip signals alongside continuous retest zone monitoring: Buy Signal (▲) : Green triangle appears when the trail ratchet flips from bearish to bullish, indicating price has closed above the upper ATR band and the trail has reset to the lower band to begin a new bullish ratchet cycle. Sell Signal (▼) : Red triangle appears when the trail ratchet flips from bullish to bearish, indicating price has closed below the lower ATR band and the trail has reset to the upper band to begin a new bearish ratchet cycle. Retest diamond detection provides continuous secondary monitoring, marking proximity to the trail after the signal buffer period with independent per-side cooldown enforcement, identifying potential continuation setups at the ratchet boundary throughout the established trend. Alert generation covers bullish and bearish trail flips and both bullish and bearish retest events for systematic trend monitoring workflows. Strategy Integration Volatility Trail fits within volatility-adaptive trailing and momentum conviction approaches: Trail Flip Entries : Use trail flip signals as primary trend initiation triggers where price has closed through the ATR-scaled boundary and the ratchet has reset in the new direction, with the newly positioned trail providing an immediate structural invalidation reference. Candle Mode Selection for Instrument Type : Use Distance mode on instruments where price extension from the trail is the primary conviction indicator, Acceleration mode on instruments where trail advancement speed is more consistent, and Both mode for instruments where either characteristic can signal high conviction depending on market phase. Cloud Depth Assessment : Use gradient cloud depth as a real-time spatial conviction reading. A deep cloud with multiple visible layers indicates substantial separation and trend momentum. A thin cloud with minimal fill depth indicates price is compressing toward the trail and a retest is increasingly probable. Retest Diamond Re-entry : Use retest diamonds as lower-risk continuation entry references within established trends, entering in the trend direction when price approaches the trail boundary after the signal buffer period rather than chasing extended price action far from the trail. ATR Factor Calibration : Adjust the ATR factor to match the instrument's typical volatility behavior at the target timeframe, using higher factors for instruments requiring more room between price and trail and lower factors for tighter ratchet tracking. Multi-Timeframe Trail Alignment : Apply higher-timeframe trail direction as a bias filter, engaging with lower-timeframe flip signals and retest diamonds only when they align with the established higher-timeframe ratchet direction. Technical Implementation Details Core Engine : Hull Moving Average baseline with configurable source and ATR-scaled ratcheting trail mechanics Trail Logic : One-directional ratchet advancing as band maximum or minimum in respective trend directions with flip on close breach Gradient Cloud : Four proportional gap interpolation points with interval fills at graduated transparency levels radiating from trail toward price Candle Scoring : ATR-normalized distance and acceleration scoring with power transform and gradient mapping to dim-to-trend-color range Retest System : ATR-fraction proximity zone detection with signal buffer and independent per-side cooldown enforcement Visualization : Smoothed trail line, four-layer gradient cloud fills, flip signal labels, retest diamond markers, and multi-mode intensity-scored candle coloring Signal Logic : Raw trail flip detection with smoothing applied to display only, preserving signal timing accuracy Performance Profile : Optimized for real-time execution across all timeframes with stateful trail variable maintaining ratchet progress between bars Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday trail tracking for scalping with shorter Hull length and tighter ATR factor for fast ratchet response to intraday momentum shifts 15 - 60 min : Session-level trend identification with balanced Hull length and moderate ATR factor for reliable directional framing across typical session moves 4H - Daily : Swing-level trailing with longer Hull length and higher ATR factor for sustained ratchet persistence across multi-session directional moves Suggested Baseline Configuration: Hull Length : 72 ATR Length : 9 ATR Factor : 1.7 Source : Close Trail Smoothing : 4 Show Gradient Cloud : Enabled Color Candles : Enabled Candle Color Mode : Distance Show Buy/Sell : Enabled Retest Diamonds : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's volatility characteristics, Hull responsiveness at the target timeframe, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Trail flips too frequently : Increase ATR Factor to widen the distance between the Hull baseline and the trail boundary, requiring more significant price displacement before a flip is registered. Trail flips too slowly : Decrease ATR Factor toward 0.5 for a tighter trail that responds faster to directional changes, or decrease Hull Length for a more reactive baseline. Hull baseline too laggy : Decrease Hull Length toward 20 for a faster baseline that captures directional shifts earlier, accepting increased sensitivity to short-term price fluctuations. Hull baseline too reactive : Increase Hull Length for a smoother baseline that filters minor oscillations and produces a more stable trail ratchet with fewer noise-driven flips. Candles too uniformly dim : Switch to Acceleration mode if the instrument's trail advancement speed is more variable than its price extension, or reduce ATR Factor so distance scores normalize against a tighter trail range. Too many retest diamonds : Increase Retest Cooldown to enforce greater bar separation between consecutive diamond markers, or increase Signal Buffer to delay retest detection further from each flip event. Retest diamonds not firing : The retest zone is sized as a fraction of ATR multiplied by the ATR Factor. On instruments with very consistent trail distance this zone may be narrow. Increasing ATR Factor slightly widens the retest detection zone relative to the trail boundary. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with sustained directional moves where the Hull baseline advances consistently and the trail ratchets without frequent resets, producing deep gradient clouds and bright high-conviction candles throughout the move Instruments with consistent ATR behavior where the volatility-scaled trail distance produces reliable flip signals without excessive noise-driven reversals Momentum continuation strategies that benefit from the retest diamond system identifying pullback interactions with the trail boundary as lower-risk continuation entry points Multi-mode candle scoring approaches where distance or acceleration scoring provides additional conviction context that supplements the directional trail signal Reduced Effectiveness: Choppy, low-momentum markets where price oscillates near the Hull baseline, causing frequent trail flips and preventing the ratchet from establishing meaningful directional progress Extremely volatile instruments where ATR spikes produce wide trail distances that delay flip detection relative to the actual structural change in price direction Consolidation environments where the Hull baseline moves sideways and the trail ratchet stalls, producing minimal cloud depth and uniformly dim candles without directional conviction scoring News-driven or gap-heavy markets where instantaneous price displacements trigger trail flips that immediately reverse before the ratchet can establish sustained directional progress Mean-reversion dominant conditions where trail flips occur rapidly in alternating directions without the sustained follow-through required for gradient cloud development or sequential retest patterns Integration Guidelines Confluence : Combine with BOSWaves structural tools, order flow analysis, or momentum oscillators to validate trail flip signals with broader analytical context before committing to directional positions Cloud Depth Monitoring : Track gradient cloud depth evolution throughout the trend as a spatial conviction indicator. Progressively deepening cloud layers suggest sustained separation and trend health while thinning cloud depth warns of price compression toward the trail and potential retest or flip conditions. Candle Mode Selection : Match the candle scoring mode to the instrument's typical conviction expression. Instruments that show conviction through large extension moves favor Distance mode; instruments that show conviction through accelerating trail advancement favor Acceleration mode; instruments that express conviction through either mechanism favor Both mode. Ratchet Progress Awareness : Recognize that the trail only advances and never retreats against price within a trend. Rapid trail advancement reflected in bright Acceleration mode candles indicates strong directional follow-through, while a stalling trail with minimal advancement suggests momentum is flattening before potential reversal. State Discipline : Maintain directional bias aligned with the current trail trend state until a confirmed closing breach of the trail triggers a flip. Retest diamonds and cloud thinning within an established trend represent continuation context rather than reversal signals and should not override the ratchet-defined directional state. Disclaimer Volatility Trail is a professional-grade Hull-anchored trend trailing and conviction visualization tool. It uses ATR-scaled ratcheting trail mechanics with gradient cloud construction and multi-mode candle scoring but does not predict future price movements. Results depend on market conditions, instrument volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates order flow context, structural analysis, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
Kinetic Hull Matrix [JOAT]Kinetic Hull Matrix Overview Kinetic Hull Matrix is an adaptive trend-following indicator centred on a Hull Moving Average cloud with ATR-proportional envelopes, a custom ADX engine, a 0–100 composite signal scoring system, and a multi-timeframe trend table — all rendered in a layered fill system that visually communicates trend strength and cloud penetration depth simultaneously. Retest signals fire when price touches the cloud boundary from within the trending direction, scored by four independent quality factors. The Hull Moving Average — Why It Matters The Hull Moving Average (HMA) was designed to reduce lag while maintaining smoothness. The calculation uses weighted moving averages at half-length and full-length, doubles the half-length result, subtracts the full-length result (creating a de-lagged series), then applies a final WMA at the square root of the length: WMA(2 * WMA(src, n/2) - WMA(src, n), sqrt(n)) This produces a moving average that reacts significantly faster to price changes than a standard EMA or SMA of the same length, while filtering micro-noise through the final WMA pass. The result is a responsive midline that rarely produces whipsaws in trending markets. ATR-Adaptive Cloud Architecture The HMA midline is expanded into a four-layer cloud using the current ATR: - Inner cloud (upper and lower bands): HullMid ± ATR × CloudMultiplier (default 1.0). This is the primary retest detection zone. - Outer bands: HullMid ± ATR × CloudMultiplier × OuterMultiplier (default 1.618, the golden ratio). These define the statistical extreme of the cloud envelope. The cloud dynamically widens during volatile markets and contracts during compression — naturally adapting to market conditions without manual parameter changes. Four fill layers are rendered between the bands using trend-coloured gradients: bright teal in uptrends, muted red in downtrends, creating an intuitive visual heat map of trend energy. Custom ADX Engine Rather than relying on the built-in ta.dmi(), Kinetic Hull Matrix implements its own ADX from first principles: 1. Positive directional movement (plusDM) = max(high - high , 0) when high-to-high exceeds low-to-low 2. Negative directional movement (minusDM) = max(low - low, 0) when low-to-low exceeds high-to-high 3. Both are smoothed via ta.rma() over the ADX length, then divided by the RMA of true range to produce +DI and -DI 4. The directional index DX = abs(+DI - -DI) / (+DI + -DI) * 100, finally smoothed via ta.rma() to produce ADX This gives a transparent, auditable ADX implementation. Values above 25 indicate a trending regime; below 25 indicates ranging conditions. The dashboard and scoring system both use this value. Composite Signal Score (0–100) A retest signal qualifies only when close price enters the inner cloud (touches upper cloud from above in a downtrend or lower cloud from below in an uptrend) while the candle closes back in the trend direction. The resulting signal is then scored: - Proximity score (up to 50): How deeply price penetrated into the cloud. Deeper retests score higher. - Volume score (up to 25): Current volume relative to its 20-bar SMA. Higher participation scores higher. - RSI score (up to 15): RSI directional headroom — long signals score better when RSI has room below 55, short signals when RSI has room above 45. - ADX score (up to 10): Raw ADX value × 0.4, capped at 10. Strong trends produce higher-quality retests. Only signals meeting the configurable minimum score threshold (default 40) are displayed. S/R Line Stamping Each confirmed retest signal stamps a horizontal dotted line at the close price, extending 60 bars forward. These lines serve as dynamic support (for bull retests) and resistance (for bear retests). Lines are automatically invalidated and deleted if price closes through them by more than 0.5 ATR — the indicator only keeps lines that have not been structurally broken. Multi-Timeframe Trend Table (Top Right) Five user-configurable timeframes are assessed using the same dual-EMA logic (fast = HullLen/2, slow = HullLen). Each cell displays BULL or BEAR in the trend's colour. A "X/5 Bull" counter at the bottom summarises alignment. The table also shows current ADX value, RSI, and number of active S/R lines. Inputs Reference Hull Cloud - Hull MA Length (21) — primary HMA period - ATR Length (14) — period for ATR cloud width - Cloud Width (1.0 ATR) — inner cloud half-width multiplier - Outer Band Mult (1.618) — outer band golden-ratio expansion - ADX Length (14) — custom ADX smoothing period - Volume SMA Length (20) — reference for volume scoring - RSI Length (14) Retest Detection - Min Signal Score (40) — minimum composite score to display signal - Max S/R Lines (8) — maximum simultaneous S/R lines on chart - S/R Break Buffer (0.5 ATR) — tolerance before a line is considered broken - Show Score Label / Show S/R Lines MTF Dashboard - Show MTF Trend Table - TF 1–5 — five independently configurable timeframes Visual - Theme: Dark, Light, Auto How to Use 1. Apply to a liquid trending instrument. Allow warmup (roughly 3× Hull Length bars). 2. Identify the trend from cloud colour: teal fills = uptrend, red fills = downtrend. 3. Wait for price to dip into the inner cloud during an uptrend (or spike into it during a downtrend) and close back in the trend direction. 4. Check the score label — prefer grade 55+ (B or higher). Crosscheck with the MTF table: 4+ of 5 timeframes aligned significantly improves reliability. 5. The stamped S/R line from the retest level serves as a reference for re-entry if price pulls back again. Non-Repainting Design All retest signals are gated by barstate.isconfirmed. MTF data uses lookahead_off. S/R line management runs only on confirmed bars. No visual element shifts position after the bar closes. Limitations - In ranging, choppy markets, the cloud direction changes frequently and retest signals may have low predictive value. The ADX score component partially mitigates this, but consider increasing the minimum score threshold in low-trend environments. - S/R lines accumulate during active trend periods. The max line count setting prevents chart clutter. - MTF trend data requires request.security() calls per timeframe. On lower timeframes with very high bar counts, this may slightly affect indicator load time. Disclaimer This indicator is for educational and informational purposes only. No signal scoring system guarantees future performance. Always use proper risk management and conduct independent analysis before trading. Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
1
Conflux Engine | AnonycryptousConflux Engine | Anonycryptous Description & user manual Why this indicator is different? Most signal indicators work the same way. One condition triggers. One signal fires. The trader either takes it or does not. The problem is that a single condition — a crossover, a level break, a momentum read — is almost never enough to define a genuinely high-quality trade. Markets are too complex and too noisy for that. Conflux Engine works differently. It does not fire on one condition. It requires multiple independent market forces to align simultaneously before a signal appears. Structure has to agree. Volume has to confirm. Momentum has to support. Volatility has to be in the right zone. Session positioning has to be favorable. And optionally, the higher timeframe trend and the ribbon have to be aligned too. Only when enough of these forces agree — and agree clearly — does the indicator produce a signal. This is what confluence means in practice. Not one thing being right. Multiple independent things being right at the same time. The result is fewer signals. But the signals that do appear carry more weight than anything a single-condition system can produce. Important notice Conflux Engine generates trading signals based on a multi-factor scoring engine. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. They are a systematic read of current market conditions across multiple dimensions. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Conflux Engine is a scoring-based signal indicator for traders who want structured, high-conviction entries rather than frequent, noisy ones. Six independent pillars evaluate the market continuously. Each pillar scores independently. The scores combine into a total out of 100. When the total exceeds the signal threshold — and the dominant direction leads the opposite direction by a minimum gap — a signal fires. Additional hard gates can be enabled: an ADX noise filter to block signals during choppy markets, a VWMA filter to ensure macro trend alignment, a Supertrend filter for dynamic trend confirmation, and an Ultra Ribbon filter using 15 Hull Moving Averages for the fastest momentum read. The result is an indicator that is selective by design. It is not built to fire constantly. It is built to fire well. 2. The six pillars 2.1 Structure Evaluates market structure using swing pivot highs and lows. A higher high combined with a higher low defines a bullish structure. A lower high combined with a lower low defines a bearish structure. This pillar answers the most fundamental question in trading: is the market making progress in a direction, or is it deteriorating? Weight: up to 16 points. 2.2 Volume Uses OBV slope via linear regression to determine whether volume is accumulating in the direction of price or diverging from it. Rising OBV slope on a bullish signal means participation supports the move. Falling OBV slope on a bullish signal is a warning. This pillar separates moves with institutional backing from moves without it. Weight: up to 16 points. 2.3 Momentum Evaluates three independent momentum reads: KAMA position (a Kaufman adaptive moving average that adjusts its speed to market conditions), RSI relative to the 50 midline with slope direction, and Williams %R for price positioning within the recent range. Two of three aligned scores partial points. All three aligned scores full points. Weight: up to 16 points. 2.4 Liquidity Detects sweep events — moments where price wicks beyond a recent swing high or low and closes back inside. These events mark liquidity grabs and often precede directional moves. A confirmed bull sweep sets up a long bias context. A confirmed bear sweep sets up a short bias context. The context remains active for a configurable number of bars, decaying over time. Weight: up to 16 points. 2.5 Volatility Measures ATR relative to its own moving average to identify the volatility sweet spot. Signals during dead, flat markets carry less meaning. Signals during chaotically explosive moves are harder to execute cleanly. This pillar rewards the in-between: active, directional, manageable volatility. Weight: up to 16 points. 2.6 Session Evaluates price positioning within the current day's developing range. Price in the lower portion of the range (discount) favors long bias. Price in the upper portion (premium) favors short bias. This pillar can be toggled independently from the session time filter — you can use session scoring without restricting signals to specific hours, or vice versa. Weight: up to 20 points. 3. Hard gates Beyond the six scoring pillars, Conflux Engine includes four optional hard gates. These do not add points. They block signals entirely when their condition is not met. 3.1 ADX noise filter Blocks signals when ADX is below a configurable threshold. ADX measures trend strength. A low ADX means the market is ranging and directionless — exactly the environment where momentum signals fail most often. Default threshold: 35. Adjustable up to 100 for maximum selectivity. 3.2 VWMA filter Price must be above the Volume Weighted Moving Average for long signals, and below it for short signals. The VWMA is slower than a standard EMA and reflects the average price weighted by volume — a more meaningful macro reference than a simple average. Default length: 200. 3.3 Supertrend filter The Supertrend must confirm the signal direction. This is a dynamic trend line based on ATR bands that flips cleanly between bull and bear states. It acts as an additional structural confirmation that the trend environment supports the entry. 3.4 Ultra Ribbon filter The fastest gate. Built from 15 Hull Moving Averages spanning a range of lengths. When the fastest HMA is above the slowest HMA, the ribbon is bullish. When below, bearish. Because Hull MAs minimize lag, this gate reacts to trend changes earlier than most moving average systems. The ribbon also serves as a trailing stop option in the backtest — the slowest HMA tracks trend without being too reactive. 4. Signal scoring Every bar, both a bullish and bearish score are computed from the six pillars. The scores are added together. A signal fires when: - The dominant score meets or exceeds the signal threshold (default 70) - The dominant score exceeds the opposite score by at least the directional lead (default 20) - All enabled hard gates are cleared This two-condition check — threshold plus gap — prevents marginal signals from appearing when the market is ambiguous. Both bull and bear can score reasonably high during mixed conditions. The gap requirement ensures the dominant direction is meaningfully ahead. Pillar weights are individually adjustable. The system allows traders to prioritize the factors most relevant to their trading style and instrument. The Extreme Threshold (default 90) flags signals where the confluence score is exceptionally high. These are the highest-conviction setups in the system. 5. The Ultra Ribbon The Ultra Ribbon is a 15-layer Hull Moving Average ribbon that sits on the chart as both a visual trend tool and a momentum gate. Three themes are available: Classic — green and red. Clear, functional, no ambiguity. Phantom — cyan and pink with purple exhaustion. A darker, stylized read of the same data. (the default) Custom — full color control for bull, bear, and exhaustion states. The ribbon color adapts dynamically. When the spread between the fastest and slowest HMA is wide relative to its historical average, the ribbon fades toward the exhaustion color — a visual signal that the trend may be overextended. When the spread is moderate, the ribbon shows its full trend color. Candle coloring follows the ribbon's bull/bear state continuously, giving an immediate read of trend direction on every bar. The dashboard accent color and signal indicators follow the active theme, giving the entire indicator a unified visual identity across chart and panel. 6. Multi-timeframe filter When enabled, the MTF filter evaluates the trend on a higher timeframe using a 50-period EMA. If the higher timeframe trend agrees with the signal direction, a weight bonus is added to the total score. If it disagrees, no bonus is added — but the signal is not blocked unless the score falls below threshold as a result. This behavior is intentional. The HTF filter adds weight to aligned signals without making every counter-trend setup impossible. It rewards confluence with the bigger picture without enforcing hard alignment. Default timeframe: 240 (4-hour). Default weight bonus: 20 points. 7. Backtest and performance tracking Confluence Engine includes a built-in performance tracker that logs every signal, applies configurable stop and target multipliers based on the current regime, and tracks wins, losses, and win rate across the visible history. Stop loss modes: - ATR — a fixed multiple of ATR from the entry price. Simple and consistent. - Pivot — stop placed at the most recent swing low (for longs) or swing high (for shorts). Respects structure. - Supertrend — stop placed at the dynamic Supertrend level at the time of entry. Tighter and adaptive. - Trailing (h15) — stop follows the slowest HMA of the Ultra Ribbon. Trends with the market and gives winners more room. Target multipliers are adjustable for each regime: Scalp, Intraday, and Swing. The regime is determined by the current ADX value. Recent log shows the last three trade results in R multiples. This gives a quick read on recent system performance without requiring a separate journaling tool. Note: the backtest uses bar close logic and approximated fill prices. It is a directional performance reference, not a precise simulation. Session filtering does not retroactively apply to historical trades — enabling session filtering after a test period will affect forward signals but not past performance data. 8. Dashboard reference The dashboard updates on every bar and shows: - Header: indicator name and current timeframe - Pillar rows 1–6: score per pillar, colored by direction - HTF Trend: higher timeframe alignment and weight (when MTF enabled) - Signal: LONG / SHORT / WAIT with direction color - Win Rate: percentage of tracked signals that hit target - Recent Log: last three results in R multiples - Score: total confluence score out of 100 - Session: OPEN or FILTERED The dashboard header and accent colors follow the active ribbon theme. Tiny, Small, and Normal size options are available. 9. Settings reference General Settings - Signal Threshold: minimum score to trigger a signal (50–95, default 70) - Extreme Threshold: score above which extreme confluence is flagged (80–100, default 90) - Directional Lead: minimum gap between bull and bear score (default 20) Multi-Timeframe Trend - Enable MTF Filter - HTF Timeframe (default 240) - HTF Weight (default 20) Quality Filters (Noise Reduction) - Enable ADX Noise Filter - Min ADX Value (0–100, default 35) Trend Confirmation - Enable VWMA Filter + length - Enable Supertrend Filter + ATR length + multiplier - Show/hide Supertrend and VWMA lines Pillar Weights - Individual weight for each of the six pillars Session Filtering - Filter Entries by Session (time gate) - Enable Session Pillar Scoring (premium/discount scoring) - Trading Session input Trade Suggestions (ATR Multipliers) - SL and TP multipliers for Scalp, Intraday, and Swing regimes Ultra Ribbon - Enable Ribbon Filter - Show Ribbon on Chart - Base Length and Length Step - Theme: Classic / Phantom / Custom - Custom color inputs (bull, bear, elite) Backtest & UI - Enable Performance Tracking - Start Year - Show Active Trade Lines - Show Recent Trade Log - Stop Loss Mode: ATR / Pivot / Supertrend / Trailing (h15) UI Settings - Show Dashboard - Dashboard Position - Dashboard Size: Tiny / Small / Normal 10. How to use 10.1 Initial setup 1. Load the indicator on your preferred chart and timeframe. 2. Select a ribbon theme that matches your visual preference. 3. Set the signal threshold based on your desired selectivity. Start at 70. 4. Set the directional lead. 15–20 is a balanced starting point. 5. Enable the hard gates relevant to your style. For intraday trading, ADX + Supertrend is a strong combination. For swing trading, VWMA + MTF adds macro context. 6. Configure the session scoring if you trade specific sessions. NY traders: set session to 1330–2000 UTC (or your local equivalent). 7. Set your backtest start year and stop mode preference. 10.2 Reading a signal When a signal appears: - Check the dashboard. Which pillars are active? A signal with Structure + Volume + Momentum all scoring is stronger than one carried primarily by Session and Volatility. - Check the score. A signal at 72 with a 20-point gap is valid but tight. A signal at 88 with a 30-point gap is a high-conviction setup. - Check the ribbon. Is it cleanly bullish or bearish? Is it near exhaustion color? Signals during ribbon exhaustion carry more risk. - Check the hard gates. They cleared — but were they close? A signal that barely cleared ADX 35 is different from one with ADX at 55. 10.3 Managing entries Confluence Engine does not tell you the exact entry price. It tells you when conditions align. Your entry technique — pullback, breakout, limit at structure — remains your decision. Use the stop mode that fits your trade: ATR for consistency, Pivot for structure-respect, Supertrend for dynamic adaptation, Trailing h15 for trend trades you want to hold. 10.4 Interpreting win rate The built-in win rate is a useful reference, not a guarantee of future performance. A 65% win rate over 50 signals on a specific asset and timeframe tells you the system has been profitable in that environment. It does not guarantee the next signal wins. Win rate should always be evaluated alongside average RR. A 60% win rate at 2R average beats a 70% win rate at 0.8R average. Use the recent log and the trade lines together to assess both dimensions. 10.5 Optimizing settings If you see too many signals: raise the threshold, raise the directional lead, raise the ADX minimum, or enable additional hard gates. If you see too few signals: lower the threshold slightly, reduce the directional lead, or disable one or two hard gates. Do not optimize purely for win rate without considering signal frequency. A system that fires once per week at 80% win rate is different in practice from one that fires daily at 65%. Both can be profitable. Choose what fits your trading style. 11. Timeframe guide 1m–5m — Ultra Ribbon filter on, ADX threshold 30–40, Supertrend on, session scoring on. Focus on fast momentum signals during active sessions. 15m–30m — Full filter stack recommended. Threshold 70–75. Strong balance of frequency and quality. 1H–4H — VWMA and MTF filter add significant value. Threshold 75–80. Fewer signals, higher conviction. Daily — Disable session scoring. Enable VWMA and MTF only. Use as swing context, not scalp tool. 12. What this indicator does not do - Does not predict price direction with certainty - Does not guarantee profitability - Does not replace your own risk management - Does not account for news events, gaps, or liquidity voids - Does not track open positions in real time - Does not connect to any broker or execution system - Does not replace the Risk Management Engine for position sizing and account compliance For position sizing, drawdown compliance, and trade logging, pair with Risk Management Engine | Anonycryptous. For complete session analysis and market context, pair with Environment | Anonycryptous. Together, the three tools cover strategy context, signal generation, and risk execution — a complete framework for structured trading. 13. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. All trading decisions are made entirely by the user. The indicator provides signal analysis based on configurable parameters — the relevance of any output depends on how those parameters are set and the market conditions in which the indicator is used. Trading financial instruments involves substantial risk of loss. Past performance of the backtest function is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator or any content in this manual.
Pine Script® indicator
by Anonycryptous
3
Ultimate MTF Trend Dashboard [identityKa]Overview The Ultimate MTF Trend Dashboard is a comprehensive trend-following ecosystem that combines a zero-lag overlay cloud with a strict Multi-Timeframe (MTF) alignment dashboard. Designed for traders who require deep market context, this indicator visually tracks the immediate trend while simultaneously cross-referencing higher timeframes (15m, 1H, 4H, and Daily) to ensure trades are taken in the direction of the dominant macroeconomic flow. Mathematical Engine & Non-Repainting Logic The core trend calculation is built upon the Hull Moving Average (HMA). HMAs are favored for their ability to significantly reduce lag while maintaining a smooth curve. The Cloud: The script calculates a Fast HMA (default 14) and a Slow HMA (default 50). The area between them is filled to create a visual "Cloud." When the Fast HMA is above the Slow HMA, the cloud represents a bullish trend, and vice versa. Non-Repainting MTF Engine: Traditional MTF indicators in Pine Script often suffer from repainting issues by looking ahead into unclosed bars. This script solves that by securely fetching historical offset data ( ) combined with barmerge.lookahead_on across all higher timeframes. This guarantees that the dashboard values are strictly historically accurate and non-repainting. HUD Dashboard & AI State Suggestion The on-chart panel serves as the central intelligence hub, constantly evaluating the HMA state across four distinct timeframes. At the bottom of the dashboard is the rule-based AI Suggestion: LONG: Triggered only when the 15m, 1H, 4H, and 1D timeframes are all simultaneously in a Bullish state (Fast HMA > Slow HMA). SHORT: Triggered only when all four tracked timeframes are simultaneously in a Bearish state (Fast HMA < Slow HMA). Dangerous: Displayed when there is a conflict between timeframes (e.g., 1H is Bullish, but 4H is Bearish). This mathematically indicates market chop or a broader consolidation phase. How to Use It This tool acts as a supreme filter for Price Action trading. Traders should avoid taking trend-continuation setups when the AI Suggestion reads "Dangerous." Instead, patience should be exercised until full MTF alignment occurs. When the dashboard outputs "LONG" or "SHORT," traders can look for pullbacks into the local HMA Cloud on their execution timeframe to find optimal, low-risk entries in the direction of the undeniable macro trend.
Pine Script® indicator
by IdentityKa
Quantum RCI FusionDescription: Overview: The Quantum Momentum Engine Quantum RCI Fusion is a sophisticated momentum oscillator designed to solve the #1 problem of classic indicators: false signals in sideways markets. At the core of this script is the Rank Correlation Index (RCI), a powerful statistical tool based on Spearman’s correlation. Unlike RSI or Stochastic which only look at price levels, the RCI evaluates the "quality" of a trend by measuring the temporal correlation of price ranks. This script is not just a line drawing: it is a complete trading ecosystem that fuses three RCI timeframes, volatility filters, and a real-time Risk Management simulation. 🛠 How It Works: The "Fusion" Logic The strength of this indicator lies in the synergy between its components. It is not a simple mashup, but a filtered logical system: Triple RCI Engine (Fast, Mid, Slow): Fast (13) & Mid (18): These generate the Crossover signal for precise entry timing. Slow (30) - The "Trend Shield": The true innovation. It acts as a directional shield; if the baseline is bullish, the script protects Long positions by ignoring premature exit signals, allowing you to ride the full trend. HMA Smoothing: Raw price data passes through a Hull Moving Average before the RCI calculation. This drastically reduces market "noise" without sacrificing the responsiveness typical of the RCI. Intelligent Filters (Anti-Whipsaw): ADX Integration: Signals are blocked if the ADX is below the threshold (default 20), preventing trading in flat/ranging markets. Momentum Impulse: Requires a minimum variation (Delta) in the RCI to confirm that the move has real drive and is not just random fluctuation. 🛡 Risk Management & Simulation Since timing is useless without risk management, Quantum RCI Fusion includes a Dashboard and sophisticated exit logic: Multiple Exits: Take Profit / Stop Loss: Based on dynamic ATR multipliers. Shield Break: Safety exit if the underlying trend (Slow RCI) changes direction. Emergency: Immediate close if momentum sharply reverses across the zero line. Live Dashboard: Monitors Win Rate, virtual PnL, and Trade Status (Long/Short/Scanning) in real-time directly on the chart, removing the need for external backtesters. 🚀 How to Use It Setup: Add the script to a separate pane below your price chart. Entry Signals: LONG (Green Triangle): RCI Fast crosses Mid upwards + Oversold Zone (< -80) + ADX > 20 + Bullish Shield. SHORT (Red Triangle): RCI Fast crosses Mid downwards + Overbought Zone (> 80) + ADX > 20 + Bearish Shield. Customization: Scalping: Reduce RCI lengths (e.g., 8/12/20) and disable the "Trend Shield" for quick entries and exits. Swing Trading: Keep defaults and use the ATR Trailing logic to manage positions on H4 or Daily timeframes. ⚖️ Notes & Credits Originality: This script enhances the standard RCI by implementing Array-based calculations (optimized for Pine v6), proprietary HMA smoothing, and unique "Trend Shield" logic. Open Source: The code is released under the MPL 2.0 license. Credits to the Pine community for the foundational mathematical formulas of Spearman's correlation. Disclaimer: The statistics shown in the dashboard are simulations based on live data and do not guarantee future profits. You are responsible for your own trading decisions. 🖼 Instructions for the Publication Chart (Preview) To ensure your script gets approved and attracts users, follow these steps for the cover image: Symbol: Use a volatile and liquid asset, e.g., BTCUSD or XAUUSD (Gold), on a 1H or 4H timeframe. Clean Layout: Remove all other indicators from the chart (no Moving Averages on price, no Bollinger Bands). The focus must be solely on your script in the bottom pane. Visualization: Ensure the Dashboard (stats table) is clearly visible and does not obscure the most recent candle. The chart should show at least one clear BUY and one clear SELL signal, ideally with the exit icons (the "X" or flags) visible to demonstrate the exit logic.
Pine Script® indicator
by mentalExpert19609
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis. It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade. How it Works The strategy relies on the "Golden Trio" of confluence: 1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as: Price is above the Session VWAP. The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends). 2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session). Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish. Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish. 3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts. Key Features The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H). Trend: Checks if Price > EMA 21. VWAP: Checks if Price > VWAP. ORB: Checks if Price is currently above/below the Opening Range of that session. D H/L: Warns if price is near the Daily High or Low. PD H/L: Warns if price is near the Previous Daily High or Low. Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move). Chart: Draws Green/Red zones extending to the right, showing where price may react. Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning. Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs. Visual Guide (Chart Legend) ⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box. 🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum. 🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum. 🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks. 🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here. 🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here. ⚪ Dots (Trailing Stop): 🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss. 🔴 Red Dots: These appear above price during a Bearish trend. 🏷️ Buy / Sell Labels: BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish. SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish. Settings Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise. Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor. Order Blocks: Adjust the sensitivity and lookback period for Order Block detection. Risk: Customize the ATR multiplier for the trailing stop. Disclaimer This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Pine Script® indicator
by EliasVictor
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Pine Script® indicator
by QuantAlgo
10
paigep.llc - SuperMASuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way. The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine. 📌 Core Features 1. Full SMA + EMA Framework The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline.Users can toggle SMAs and EMAs independently for clearer chart control. 2. Main Trend Entry & Exit Logic (8×200 and 8×20) Built-in crossover logic detects: Main Entry: SMA 8 crossing above/below EMA 200 Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg) A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins. 3. Pullback Module (20 SMA Interaction) Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions. This includes: Pullback entries through the 20 SMA Pullback exits back across the 20 SMA Labels and candle colors are available for all pullback events. 4. Optional HMA Cross Module A separate module allows traders to use two Hull Moving Averages (HMA) with customizable: Lengths Independent timeframes Line colors Cross-based entries and exits This module has its own events, labels, and optional candle coloring. 5. Advanced Candle Coloring System Candle coloring is layered in priority order, based on: Main trend entries Main exits HMA entries HMA exits Pullback entries Pullback exits Trend-only candles (based on SMA 8 relative to EMA 200) Users may also independently color wicks and borders. 6. Configurable Alerts (Fully Decoupled from Visuals) Alerts are available for all major events, including: Main Entries (8×200) Main Exits (8×20) Pullback Entries and Exits HMA Entries and Exits Bull or Bear Trend candles Any colored candle event Alerts can fire on bar close only or intrabar, depending on user preference. 📌 Use Cases SuperMA helps traders visualize: Trend direction using SMA/EMA structure Momentum shifts through HMA crosses Pullback zones around the 20 SMA Early regime transitions based on the 8×200 relationship Candle-level context through color-coded bars The indicator works across all markets and timeframes. ⚠️ Note This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Pine Script® indicator
by paigepllc
paigep.llc - SuperMA SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way. The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine. 📌 Core Features 1. Full SMA + EMA Framework The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control. 2. Main Trend Entry & Exit Logic (8×200 and 8×20) Built-in crossover logic detects: Main Entry: SMA 8 crossing above/below EMA 200 Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg) A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins. 3. Pullback Module (20 SMA Interaction) Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions. This includes: Pullback entries through the 20 SMA Pullback exits back across the 20 SMA Labels and candle colors are available for all pullback events. 4. Optional HMA Cross Module A separate module allows traders to use two Hull Moving Averages (HMA) with customizable: Lengths Independent timeframes Line colors Cross-based entries and exits This module has its own events, labels, and optional candle coloring. 5. Advanced Candle Coloring System Candle coloring is layered in priority order, based on: Main trend entries Main exits HMA entries HMA exits Pullback entries Pullback exits Trend-only candles (based on SMA 8 relative to EMA 200) Users may also independently color wicks and borders. 6. Configurable Alerts (Fully Decoupled from Visuals) Alerts are available for all major events, including: Main Entries (8×200) Main Exits (8×20) Pullback Entries and Exits HMA Entries and Exits Bull or Bear Trend candles Any colored candle event Alerts can fire on bar close only or intrabar, depending on user preference. Use Cases SuperMA helps traders visualize: Trend direction using SMA/EMA structure Momentum shifts through HMA crosses Pullback zones around the 20 SMA Early regime transitions based on the 8×200 relationship Candle-level context through color-coded bars The indicator works across all markets and timeframes. ⚠️ Note This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Pine Script® indicator
by paigepllc
1
Buy/Sell Hull Crossover Signals (Fast & Slow)This indicator generates buy and sell signals using fast- and slow-period Hull Moving Averages (HMAs). A bullish signal occurs when the fast HMA crosses above the slow HMA, while a bearish signal triggers when it crosses below. To reduce repainting, you can optionally require confirmation on bar close. The script includes visual tools such as a color-shifting ribbon between HMAs, optional background shading to show market regime, and lightweight buy/sell labels for quick signal recognition. Alerts are built in so you can automate notifications when crossover conditions occur. Designed to be simple, responsive, and easy to layer into existing strategies, this indicator helps traders spot momentum shifts and trend transitions with clarity.
Pine Script® indicator
by VibeAlgos
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H) Summary This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**. It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart. --- Who it’s for Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you. --- What it shows Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing. --- Features * **MA types:** SMA, EMA, VWMA, Hull. * **Fully configurable:** toggle each line, set periods, colors, and thickness. * **Two alert modes (see below):** intrabar vs confirmed HTF close. * **Works on any symbol & chart TF** using `request.security` to fetch HTF data. --- Alerts & Modes This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes: 1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes. 2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF. Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.). **How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list. --- Why this helps * Keeps Weekly/Daily structure visible while you execute on LTF. * Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context. * Lets you standardize MA references across all your lower-TF playbooks. --- Notes on confirmation & repainting * Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data). * Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow. --- Quick setup 1. Pick `MA Type` (SMA/EMA/VWMA/Hull). 2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200). 3. Choose `Alert Mode` (Intrabar vs Confirmed). 4. Style colors/widths to taste and set alerts on the lines you care about. --- Good practice * Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation. * Always validate signals in your execution TF and use a risk plan tailored to volatility. * Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart. --- Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
Pine Script® indicator
by MAXmks
Adaptive HMA SignalsAdaptive HMA Signals This indicator pairs nicely with the Contrarian 100 MA and can be located here: Overview The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively. How It Works The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background. Key Components Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%). Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data. Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope. Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter. Mathematical Concepts Dynamic Period Adjustment: Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200). Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89). Periods decrease by 3.141% under high volatility/volume and increase otherwise. HMA Calculation: Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)). Provides a smoother, faster-responding moving average compared to traditional MAs. Slope Calculation: Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars). Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation. Signal Conditions: Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume. Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume. Signals are triggered only on confirmed bars to avoid repainting. Entry and Exit Rules Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5). Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5). Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management. Recommended Usage The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should: Backtest the indicator on their chosen asset and timeframe to validate signal reliability. Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups. Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe. Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions. Customization Options Source: Choose the price source (default: close). Show Signals: Toggle visibility of buy/sell signals (default: true). Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility). Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA. Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA. Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed. Why Use This Indicator? The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision. Tips for Users Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts). Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation. Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics. Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation. Apply strict risk management to protect against false signals in choppy markets. Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
Pine Script® indicator
by chuckaschultz
Triple HMA Colored [Chichomax]Triple HMA Colored Indicator Description The Triple HMA Colored indicator is a sophisticated technical analysis tool designed to enhance trend identification by displaying three Hull Moving Averages (HMAs) on your chart, each with fully customizable periods and dynamic color settings. This indicator is built on the refined HMA calculation method, which leverages weighted moving averages (WMAs) to generate smooth and responsive trend lines with minimal lag. Key Features: - Triple HMA Setup: Displays three HMAs, each computed with different, user-configurable periods, enabling multi-timeframe analysis in a single indicator. - Dynamic Color Coding: Each HMA line is color-coded based on its directional movement. When the current HMA value exceeds the previous value, the line is drawn in the designated "up" color, and when it falls below, it switches to the "down" color. This provides immediate visual cues for trend shifts. - Customizable Inputs: Users can adjust the period lengths for each of the three HMAs and select from six different color options (two for each HMA) directly from the indicator’s settings panel, ensuring that the tool can be tailored to match various trading strategies and visual preferences. - Efficient Trend Detection: By combining the speed of WMAs with the smoothness of the Hull Moving Average, this indicator offers a reliable method to detect market momentum changes, making it a valuable asset for both trend-following and counter-trend strategies. Ideal for traders who demand flexibility and clarity in their chart analysis, the Triple HMA Colored indicator simplifies the process of tracking market trends across multiple timeframes while providing clear, visual signals for potential entry and exit points.
Pine Script® indicator
by mn_muniz
1
Hull Suite by MRS**Hull Suite by MRS Strategy Indicator** The Hull Suite by MRS Strategy is a technical analysis tool designed to provide insights into market trends using variations of the Hull Moving Average (HMA). This strategy aims to help traders identify optimal entry points for both long and short positions by utilizing multiple types of Hull-based indicators. ### Key Features: 1. **Hull Moving Average Variations**: The indicator offers three different Hull Moving Average variants: - **HMA (Hull Moving Average)**: A fast-moving average that minimizes lag and reacts quickly to price changes. - **EHMA (Enhanced Hull Moving Average)**: A smoother version of HMA with reduced noise, offering a clearer view of market trends. - **THMA (Triple Hull Moving Average)**: A more complex Hull average that aims to provide a stronger confirmation of trend direction. 2. **Customizable Parameters**: - **Source Selection**: Allows traders to choose the source for calculation (e.g., closing prices). - **Length**: A configurable parameter to adjust the period over which the moving average is calculated (e.g., 55-period for swing entries). - **Trend Coloring**: Users can enable automatic color-coding of the Hull moving average to reflect whether the market is in an uptrend (green) or downtrend (red). - **Candle Color**: Option to color candles based on Hull's trend, further improving the visual clarity of trend direction. 3. **Entry and Exit Signals**: - **Buy Signal**: Generated when the Hull moving average crosses above its historical value, indicating a potential upward price movement. - **Sell Signal**: Triggered when the Hull moving average crosses below its historical value, signaling a potential downward price movement. - The strategy can be customized to work with long, short, or both directions, making it adaptable for various market conditions. 4. **Visual Representation**: - **Hull Bands**: The indicator can plot the Hull moving average as bands, with customizable transparency to suit individual preferences. - **Band Filler**: The area between the two Hull moving averages is filled, making it easier to identify trends at a glance. 5. **Backtesting and Strategy Execution**: This strategy can be tested on historical data with adjustable backtest start and stop dates, providing traders with a better understanding of its performance before live trading. ### Purpose: The Hull Suite by MRS Strategy is designed to assist traders in determining the optimal time to enter and exit the market based on robust Hull moving averages. With its flexibility, it can be used for trend-following, swing trading, or other strategic applications.
Pine Script® strategy
by mrsekhar
1
HMA Fibonacci Rainbow Waves[FibonacciFlux]HMA Fibonacci Rainbow Waves Overview The HMA Fibonacci Rainbow Waves script is designed for traders who strive for simplicity in their trading strategies while navigating the complexities of chart analysis. By utilizing the Hull Moving Average (HMA) for smoothing, this indicator provides a refined view of price action. However, over-smoothing can sometimes filter out essential market noise. To address this, the indicator incorporates a unique approach by applying Fibonacci weighting to seven HMA200 calculations. This enables traders to capture noise while effectively following market trends. BTCUSDT 4hour Key Features 1. Hull Moving Average (HMA) - The HMA is known for its responsiveness and ability to filter out noise, providing a clear view of the underlying trend. - The indicator balances smoothness with responsiveness, making it suitable for various trading styles, from day trading to swing trading and scalping. 2. Fibonacci Weighting - By applying Fibonacci numbers to the HMA calculations, the indicator enhances its ability to adapt to market dynamics. - This unique approach allows traders to maintain clarity while accommodating fluctuations in price action, ensuring they do not miss critical entry points. 3. Multi-Timeframe Functionality - The HMA Fibonacci Rainbow Waves indicator operates effectively across multiple timeframes, including daily, 4-hour, 5-minute, and 1-minute charts. - This adaptability makes it a valuable tool for traders, regardless of their preferred trading style, facilitating seamless transitions between different market conditions. 4. Noise Capture and Trend Following - The indicator is designed to capture essential market movements while filtering out excessive noise. - It helps traders follow trends without being overwhelmed by market fluctuations, allowing them to act on advantageous entry conditions that might otherwise be obscured. Signal Generation and Alerts - The indicator generates buy and sell signals based on the relationship between the HMAs, providing clear entry and exit points. - Customizable alerts keep traders informed of significant changes in market conditions, enabling timely decisions that reflect the nuances of market behavior. BTCUSDT 15min Benefits 1. Simplified Trading Approach - Traders can focus on core market movements without being distracted by excessive noise, enhancing decision-making efficiency and minimizing emotional trading. 2. Flexibility Across Timeframes - The ability to function across different timeframes allows traders to apply the same principles in various trading scenarios, from quick scalps to strategic swing trades. 3. Enhanced Market Insights - The combination of HMA smoothing and Fibonacci weighting offers a comprehensive view of market trends, aiding traders in identifying potential opportunities, including those that institutional investors might exploit. 4. Resolving Complexity with Simplicity - This indicator elegantly bridges the gap between simplicity and complexity, providing a single tool that addresses the inherent contradictions in trading psychology. It allows traders to simplify their strategies while still capturing the dynamic nature of the market. BTCUSDT 1min Conclusion The HMA Fibonacci Rainbow Waves script is a powerful tool for traders seeking to streamline their analysis while effectively capturing market dynamics. By integrating advanced smoothing techniques with Fibonacci weighting, this indicator empowers traders to follow market trends confidently across various timeframes. Its design makes it an essential asset for both novice and experienced traders alike, offering insights that can reveal entry points often missed by traditional indicators. Open Source Collaboration This script is released as an open-source project on TradingView, inviting the global trading community to contribute and enhance its functionality. By collaborating on this project, traders can help improve its capabilities, ensuring it remains a valuable resource for market participants around the world. Important Note As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Pine Script® indicator
by FibonacciFlux
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI) Overview The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading. MATI 4-hourly support/resistance MATI 1-hourly support/resistance MATI 15 minutes support/resistance MATI 1 minutes support/resistance Key Features 1. Diverse Moving Averages - COVWMA (Coefficient of Variation Weighted Moving Average) : - Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping . - DEMA (Double Exponential Moving Average) : - Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions . - EMA (Exponential Moving Average) : - Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum. - KAMA (Kaufman's Adaptive Moving Average) : - Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies. - SMA (Simple Moving Average) : - Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods. - VIDYA (Variable Index Dynamic Average) : - Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends. 2. Combined Moving Average - The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes . 3. Dynamic Color Coding - Each moving average is visually represented with color coding: - Green indicates bullish conditions, while Red suggests bearish trends. - This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making. 4. Signal Generation and Alerts - The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping. - Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades. Insights and Applications 1. Scalping on 1-Minute Charts - The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations. 2. Day Trading on 4-Hour Charts - For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings. 3. Swing Trading on Daily Charts - The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility. Benefits 1. Clarity and Insight - The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes. 2. Flexibility and Customization - With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles. 3. Real-Time Alerts and Efficiency - Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style. Conclusion The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike. Important Note As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Pine Script® indicator
by FibonacciFlux
MTF EHMA & HMA Insights [FibonacciFlux]MTF EHMA & HMA Insights Overview The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a powerful technical analysis tool designed for traders seeking to enhance their market insights and decision-making processes. By integrating two advanced moving averages—Exponential Hull Moving Average (EHMA) and Hull Moving Average (HMA)—along with a dynamic midline, this indicator provides a comprehensive view of market trends across multiple timeframes. Key Features 1. Dual Moving Averages - Exponential Hull Moving Average (EHMA) : - Offers a rapid response to price changes, making it particularly useful for identifying short-term trends. - Utilizes a unique calculation method that reduces lag, allowing traders to react quickly to market movements. - Hull Moving Average (HMA) : - Known for its smoothness and ability to filter out noise, the HMA presents a clear picture of the underlying trend. - The HMA is specifically designed to achieve a balance between responsiveness and smoothness, enabling traders to make informed decisions. 2. Midline Calculation - Dynamic Midline (m) : - The midline is calculated as the average of EHMA and HMA, providing a neutral reference point for evaluating price movements. - It visually represents market sentiment; a rising midline suggests bullish conditions, while a declining midline indicates bearish trends. 3. Visual Components - Fill Areas : - Color-coded fills between the EHMA and HMA enhance visual clarity by indicating the relative position of these moving averages. - The fill color dynamically changes based on the relationship between the two averages (green for EHMA below HMA and red for EHMA above HMA), allowing traders to quickly assess market conditions. 4. Signal Generation and Alerts - Buy/Sell Signals : - The indicator generates buy signals when the midline crosses above its previous value, indicating a potential upward trend. - Conversely, sell signals are triggered when the midline crosses below its previous value, suggesting a possible downward movement. - Alert Conditions : - Built-in alerts notify traders in real-time when significant changes occur, allowing them to act swiftly on potential trading opportunities. - Customizable alert messages ensure traders receive relevant information tailored to their strategies. Technical Details Input Parameters - Timeframe Settings : - Traders can customize the timeframes for both EHMA and HMA, enabling them to adapt the indicator to different trading styles and market conditions. - Length Settings : - Adjustable lengths for both moving averages impact their sensitivity, allowing traders to optimize their performance based on volatility and market dynamics. Plotting and Visualization - Plotting : - The script plots the EHMA, HMA, and midline directly on the chart for easy visualization. - Signal labels (BUY and SELL) are displayed prominently, helping traders to identify potential entry and exit points without ambiguity. Benefits 1. Clarity and Insight - The combination of EHMA, HMA, and midline provides a clear and concise visual representation of market trends, aiding traders in making informed decisions. 2. Flexibility - Customizable parameters allow traders to tailor the indicator to their specific needs, making it suitable for various market conditions and trading styles. 3. Efficiency - Real-time alerts and visual signals minimize response times, enabling traders to capitalize on opportunities as they arise. 4. Enhanced Trading Conditions - When utilizing the Fibonacci number 144 on a daily chart, the indicator facilitates optimal trading conditions: - "The entry was made before the bubble began, using 144 as the Fibonacci variable." - "The exit occurred right before the bubble burst, or alternatively, a short position was initiated." - "When the next bubble started, a long entry was made again." - "Despite some lag, the position was exited and a long entry was made." - "The exit or short entry took place at the second double top peak." - "A short position was already established before the double top formation occurred." - On a 4-hour chart, traders can effectively set stop losses at HMA levels, achieving a risk-reward ratio between 4 and 8. - Additionally, analyzing the 15-minute chart with a multi-timeframe approach allows for more precise entry points. Conclusion The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a robust tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with a dynamic midline and alert system, this indicator offers a comprehensive approach to understanding market trends. Its flexibility, clarity, and efficiency make it an invaluable asset for both novice and experienced traders alike. Important Note As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Pine Script® indicator
by FibonacciFlux
3
HMA Z-Score Probability Indicator by Erika BarkerThis indicator is a modified version of SteverSteves's original work, enhanced by Erika Barker. It visually represents asset price movements in terms of standard deviations from a Hull Moving Average (HMA), commonly known as a Z-Score. Key Features: Z-Score Calculation: Measures how many standard deviations the current price is from its HMA. Hull Moving Average (HMA): This moving average provides a more responsive baseline for Z-Score calculations. Flexible Display: Offers both area and candlestick visualization options for the Z-Score. Probability Zones: Color-coded areas showing the statistical likelihood of prices based on their Z-Score. Dynamic Price Level Labels: Displays actual price levels corresponding to Z-Score values. Z-Table: An optional table showing the probability of occurrence for different Z-Score ranges. Standard Deviation Lines: Horizontal lines at each standard deviation level for easy reference. How It Works: The indicator calculates the Z-Score by comparing the current price to its HMA and dividing by the standard deviation. This Z-Score is then plotted on a separate pane below the main chart. Green areas/candles: Indicate prices above the HMA (positive Z-Score) Red areas/candles: Indicate prices below the HMA (negative Z-Score) Color-coded zones: Green: Within 1 standard deviation (high probability) Yellow: Between 1 and 2 standard deviations (medium probability) Red: Beyond 2 standard deviations (low probability) The HMA line (white) shows the trend of the Z-Score itself, offering insight into whether the asset is becoming more or less volatile over time. Customization Options: Adjust lookback periods for Z-Score and HMA calculations Toggle between area and candlestick display Show/hide probability fills, Z-Table, HMA line, and standard deviation bands Customize text color and decimal rounding for price levels Interpretation: This indicator helps traders identify potential overbought or oversold conditions based on statistical probabilities. Extreme Z-Score values (beyond ±2 or ±3) often suggest a higher likelihood of mean reversion, while consistent Z-Scores in one direction may indicate a strong trend. By combining the Z-Score with the HMA and probability zones, traders can gain a nuanced understanding of price movements relative to recent trends and their statistical significance.
Pine Script® indicator
by erikabarker
9
Hullinger Percentile Oscillator [AlgoAlpha]🚀 Introducing the Hullinger Percentile Oscillator by AlgoAlpha! 🚀 This versatile Pine Script™ indicator is designed to help you identify swing trends and potential reversals with precision. Whether you're looking to catch market swings or spot divergences, the Hullinger Percentile Oscillator offers a comprehensive suite of features to enhance your trading strategy. Key Features 🎯 Customizable Hullinger Settings: Adjust the main length, source, and standard deviation multipliers to fine-tune the indicator to your preferred trading style. 🔄 Dynamic Oscillator Modes: Switch between "Swing" mode for trend identification and "Contrarian" mode for reversal spotting, adapting the indicator to your market view. 📉 Divergence Detection: The indicator includes parameters to control the sensitivity and confirmation of divergence signals, helping to filter out noise and highlight significant market moves. 🌈 Color-Coded Visuals: Easily distinguish between bullish and bearish signals with customizable color settings for a clear visual representation on your chart. 🔔 Alert Integration: Stay ahead of the market with built-in alerts for key conditions, including strong and weak reversals, as well as bullish and bearish swings. Quick Guide to Using the Hullinger Percentile Oscillator Maximize your trading edge with the Hullinger Percentile Oscillator by following these steps! 📈✨ 🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon ⭐. Customize settings like Main Length, Oscillator Mode, and Appearance to fit your trading needs. 📊 Market Analysis: Use "Swing" mode to track trends and "Contrarian" mode to spot reversals. Watch for divergence signals to catch potential trend changes. 🔔 Alerts: Set up alerts to be notified of significant market movements without constantly monitoring your chart. How It Works The Hullinger Percentile Oscillator calculates its signals by applying a modified standard deviation approach to the Hull Moving Average (HMA) of a selected price source. It creates both inner and outer bands based on different multipliers. The oscillator then measures the position of the price relative to these bands, smoothing the result for swing trend detection. Depending on the chosen mode, the oscillator either highlights swing trends or potential reversals. Divergences are detected by comparing recent pivot highs and lows in both price and the oscillator, allowing you to spot bullish or bearish divergence setups. Alerts are triggered based on key crossovers or when specific conditions are met, ensuring that you are always informed of crucial market developments.
Pine Script® indicator
by AlgoAlpha
1
Hullinger Bands [AlgoAlpha]🎯 Introducing the Hullinger Bands Indicator ! 🎯 Maximize your trading precision with the Hullinger Bands , an advanced tool that combines the strengths of Hull Moving Averages and Bollinger Bands for a robust trading strategy. This indicator is designed to give traders clear and actionable signals, helping you identify trend changes and optimize entry and exit points with confidence. ✨ Key Features : 📊 Dual-Length Settings : Customize your main and TP signal lengths to fit your trading style. 🎯 Enhanced Band Accuracy : The indicator uses a modified standard deviation calculation for more reliable volatility measures. 🟢🔴 Color-Coded Signals : Easily spot bullish and bearish conditions with customizable color settings. 💡 Dynamic Alerts : Get notified for trend changes and TP signals with built-in alert conditions. 🚀 Quick Guide to Using Hullinger Bands 1. ⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings to align with your trading preferences, such as length and multiplier values. 2. 🔍 Analyze Readings : Observe the color-coded bands for real-time insights into market conditions. When price is closer to the upper bands it suggests an overbought market and vice versa if price is closer to the lower bands. Price being above or below the basis can be a trend indicator. 3. 🔔 Set Alerts : Activate alerts for bullish/bearish trends and TP signals, ensuring you never miss a crucial market movement. 🔍 How It Works The Hullinger Bands indicator calculates a central line (basis) using a simple moving average, while the upper and lower bands are derived from a modified standard deviation of price movements. Unlike the traditional Bollinger Bands, the standard deviation in the Hullinger bands uses the Hull Moving Average instead of the Simple Moving Average to calculate the average variance for standard deviation calculations, this give the modified standard deviation output "memory" and the bands can be observed expanding even after the price has started consolidating, this can identify when the trend has exhausted better as the distance between the price and the bands is more apparent. The color of the bands changes dynamically, based on the proximity of the closing price to the bands, providing instant visual cues for market sentiment. The indicator also plots TP signals when price crosses these bands, allowing traders to make informed decisions. Additionally, alerts are configured to notify you of crucial market shifts, ensuring you stay ahead of the curve.
Pine Script® indicator
by AlgoAlpha
10
Normalized Hull Moving Average Oscillator w/ ConfigurationsThis indicator uniquely uses normalization techniques applied to the Hull Moving Average (HMA) and allows the user to choose between a number of different types of normalization, each with their own advantages. This indicator is one in a series of experiments I've been working on in looking at different methods of transforming data. In particular, this is a more usable example of the power of data transformation, as it takes the Hull Moving Average of Alan Hull and turns it into a powerful oscillating indicator. The indicator offers multiple types of normalization, each with its own set of benefits and drawbacks. My personal favorites are the Mean Normalization , which turns the data series into one centered around 0, and the Quantile Transformation , which converts the data into a data set that is normally distributed. I've also included the option of showing the mean, median, and mode of the data over the period specified by the length of normalization. Using this will allow you to gather additional insights into how these transformations affect the distribution of the data series. Types of Normalization: 1. Z-Score Overview: Standardizes the data by subtracting the mean and dividing by the standard deviation. Benefits: Centers the data around 0 with a standard deviation of 1, reducing the impact of outliers. Disadvantages: Works best on data that is normally distributed Notes: Best used with a mid-longer length of transformation. 2. Min-Max Overview: Scales the data to fit within a specified range, typically 0 to 1. Benefits: Simple and fast to compute, preserves the relationships among data points. Disadvantages: Sensitive to outliers, which can skew the normalization. Notes: Best used with mid-longer length of transformation. 3. Mean Normalization Overview: Subtracts the mean and divides by the range (max - min). Benefits: Centers data around 0, making it easier to compare different datasets. Disadvantages: Can be affected by outliers, which influence the range. Notes: Best used with a mid-longer length of transformation. 4. Max Abs Scaler Overview: Scales each feature by its maximum absolute value. Benefits: Retains sparsity and is robust to large outliers. Disadvantages: Only shifts data to the range , which might not always be desirable. Notes: Best used with a mid-longer length of transformation. 5. Robust Scaler Overview: Uses the median and the interquartile range for scaling. Benefits: Robust to outliers, does not shift data as much as other methods. Disadvantages: May not perform well with small datasets. Notes: Best used with a longer length of transformation. 6. Feature Scaling to Unit Norm Overview: Scales data such that the norm (magnitude) of each feature is 1. Benefits: Useful for models that rely on the magnitude of feature vectors. Disadvantages: Sensitive to outliers, which can disproportionately affect the norm. Not normally used in this context, though it provides some interesting transformations. Notes: Best used with a shorter length of transformation. 7. Logistic Function Overview: Applies the logistic function to squash data into the range . Benefits: Smoothly compresses extreme values, handling skewed distributions well. Disadvantages: May not preserve the relative distances between data points as effectively. Notes: Best used with a shorter length of transformation. This feature is actually two layered, we first put it through the mean normalization to ensure that it's generally centered around 0. 8. Quantile Transformation Overview: Maps data to a uniform or normal distribution using quantiles. Benefits: Makes data follow a specified distribution, useful for non-linear scaling. Disadvantages: Can distort relationships between features, computationally expensive. Notes: Best used with a very long length of transformation. Conclusion This indicator is a powerful example into how normalization can alter and improve the usability of a data series. Each method offers unique insights and benefits, making this indicator a useful tool for any trader. Try it out, and don't hesitate to reach out if you notice any glaring flaws in the script, room for improvement, or if you just have questions.
Pine Script® indicator
by TheArchbishop
1
Kalman Hull RSI [BackQuant]Kalman Hull RSI At its core, this indicator uses a Kalman filter of price, put inside of a hull moving average function (replacing the weighted moving averages) and then using that as a price source for the the RSI, very similar to the Kalman Hull Supertrend just processing price for a different indicator. This also allows it to make it more adaptive to price and also sensitive to recent price action. This indicator is also mainly built for trend-following systems PLEASE Read the following, knowing what an indicator does at its core before adding it into a system is pivotal. The core concepts can allow you to include it in a logical and sound manner. 1. What is a Kalman Filter The Kalman Filter is an algorithm renowned for its efficiency in estimating the states of a linear dynamic system amidst noisy data. It excels in real-time data processing, making it indispensable in fields requiring precise and adaptive filtering, such as aerospace, robotics, and financial market analysis. By leveraging its predictive capabilities, traders can significantly enhance their market analysis, particularly in estimating price movements more accurately. If you would like this on its own, with a more in-depth description please see our Kalman Price Filter. OR our Kalman Hull Supertrend 2. Hull Moving Average (HMA) and Its Core Calculation The Hull Moving Average (HMA) improves on traditional moving averages by combining the Weighted Moving Average's (WMA) smoothness and reduced lag. Its core calculation involves taking the WMA of the data set and doubling it, then subtracting the WMA of the full period, followed by applying another WMA on the result over the square root of the period's length. This methodology yields a smoother and more responsive moving average, particularly useful for identifying market trends more rapidly. 3. Combining Kalman Filter with HMA The innovative combination of the Kalman Filter with the Hull Moving Average (KHMA) offers a unique approach to smoothing price data. By applying the Kalman Filter to the price source before its incorporation into the HMA formula, we enhance the adaptiveness and responsiveness of the moving average. This adaptive smoothing method reduces noise more effectively and adjusts more swiftly to price changes, providing traders with clearer signals for market entries or exits. The calculation is like so: KHMA(_src, _length) => f_kalman(2 * f_kalman(_src, _length / 2) - f_kalman(_src, _length), math.round(math.sqrt(_length))) Use Case The Kalman Hull RSI is particularly suited for traders who require a highly adaptive indicator that can respond to rapid market changes without the excessive noise associated with typical RSI calculations. It can be effectively used in markets with high volatility where traditional indicators might lag or produce misleading signals. Application in a Trading System The Kalman Hull RSI is versatile in application, suitable for: Trend Identification: Quickly identify potential reversals or confirmations of existing trends. Overbought/Oversold Conditions: Utilize the dynamic RSI thresholds to pinpoint potential entry and exit points, adapting to current market conditions. Risk Management: Enhance trading strategies by integrating a more reliable measure of momentum, which can lead to improved stop-loss placements and exit strategies. Core Calculations and Benefits Dynamic State Estimation: By applying the Kalman Filter, the indicator continually adjusts its calculations based on incoming price data, providing a real-time, smoothed response to price movements. Reduced Lag: The integration with HMA significantly reduces lag, offering quicker responses to price changes than traditional moving averages or RSI alone. Increased Accuracy: The dual filtering effect minimizes the impact of price spikes and noise, leading to more accurate signaling for trades. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
Pine Script® indicator
by BackQuant
1
Trend Continuation Signals [AlgoAlpha]Introducing the Trend Continuation Signals by AlgoAlpha 🌟🚀 Elevate your trading game with this multipurpose indicator, designed to pinpoint trend continuation opportunities as well as highlight volatility and oversold/overbought conditions. Whether you're a trading novice or a seasoned market veteran, this tool offers intuitive visual cues to boost your decision-making and enhance your market analysis. Let's explore the key features, how to use it effectively, and delve into the operational mechanics that make this tool a game-changer in your trading arsenal: Key Features: 🔥 Advanced Trend Detection : Leverages the Hull Moving Average (HMA) for superior trend tracking as compared to other MAs, offering unique insights into market momentum. 🌈 Volatility Bands : Implements adjustable bands around the trend line, which evolve with market conditions to highlight potential trading opportunities. ⚡ Trend Continuation Signals : Identifies bullish and bearish continuation signals, equipping you with actionable signals to exploit the prevailing market trend. 🎨 Intuitive Color Coding : Employs a vibrant color scheme to distinguish between uptrends, downtrends, and neutral phases, facilitating easy interpretation of the indicator's insights. 🛠 How to Use "Trend Continuation Signals ": 🔍 Setting Up : Incorporate the indicator onto your chart and customize the indicator to suite your preferences. 👀 Reading the Signals : Pay attention to the color-coded trend lines and volatility bands. Green indicates an uptrend, red signifies a downtrend, and gray denotes a neutral market condition. 📈 Identifying Entry Points : Look for bullish (▲) and bearish (▼) continuation icons below or above the price bars as signals for potential entry points for long or short positions, respectively. 🔄 Confirmation : Validate your trades with further analysis or other indicators. The Trend Continuation Signals are most effective when complemented by other technical analysis tools or fundamental insights. 📉 Risk Management : Implement stop-loss orders in line with your risk appetite and adjust them based on the volatility bands provided by the indicator to safeguard your investments. How It Operates: The essence of the indicator is captured through the hull moving averages for both the primary and secondary lines, set at periods of 93 and 50, respectively, to reflect market trends and pullbacks that trigger the continuation signals every time price recovers from a detected pullback. Volatility is quantified through the standard deviation of the midline, magnified by a factor, establishing the upper and lower trend band boundaries. Further volatility bands are plotted around the main volatility band, providing a granular view of market volatility and potential breakout or breakdown zones. Market trend direction is determined by comparing the HMA line's current position to its previous value, enhanced by the secondary line to identify continuation patterns. Embrace the power of the Trend Continuation Signals to enhance your trading strategy! It is important to note that all indicators are best used in confluence with other forms of analysis, happy trading! 📊💥
Pine Script® indicator
by AlgoAlpha
14