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Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend Overview Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive. Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading. Core design philosophy The core idea behind Zero-Lag ATR Trend is simple: Reduce signal delay without sacrificing trend integrity. Adapt dynamically to changing volatility regimes. Provide a single, clean structure that defines trend direction, continuation, and invalidation. Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism. Zero-lag trend spine The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay. Conceptually, the process works as follows: A base moving average is calculated from the selected price source. That moving average is then passed through a zero-lag correction. The correction pulls the line closer to current price without introducing noise. This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe. Zero-lag volatility model Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself. This approach offers several advantages: Volatility expands more quickly during impulse moves. Volatility contracts faster during consolidations. Band width adjusts in near real-time to changing conditions. The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated. Volatility-aware trailing structure The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure: In bullish conditions, the trailing line can only move upward. In bearish conditions, the trailing line can only move downward. Minor pullbacks inside the volatility envelope do not flip the trend. This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts. Trend flips and regime transitions Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction. This means: Bullish flips represent genuine transitions into upward regimes. Bearish flips represent genuine transitions into downward regimes. Sideways noise is largely filtered out. As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations. Visual structure and chart clarity The visual design is intentionally minimal and functional: The main trailing line is color-coded by trend direction. An optional ribbon or cloud reinforces directional bias. Optional candle coloring aligns price bars with the active trend. These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays. How to use for trend following Trend bias Maintain a bullish bias while price holds above the trailing line. Maintain a bearish bias while price holds below the trailing line. Entries Trend flips can be used as initial directional entries. Pullbacks toward the trailing line often act as continuation opportunities. Momentum confirmation can be layered on top for additional confluence. Trend management The trailing line naturally functions as a dynamic stop reference. As long as price respects the trailing structure, the trend remains valid. A flip in direction signals a full regime transition rather than a minor correction. Why zero-lag matters for trend trading Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline. This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals. Summary Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
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Volatility Trend Score [BackQuant]Volatility Trend Score Overview Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?” It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable. What it is measuring (the real goal) This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on: Persistence: does structure keep pushing in one direction bar after bar? Stability: are pullbacks being absorbed without breaking the trailing structure? Regime: is the market trending strongly enough to justify directional bias? If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer. Core idea At its foundation, the indicator combines two parts: A volatility-adjusted trailing level derived from ATR and a user-defined factor. A rolling persistence score that compares the current trail to prior trail values over a configurable loop window. The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality. Inputs and what they actually control Average True Range Period (calc_p) Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive. Factor (atr_factor) Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes. For Loop Start/End (start/end) Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against. Shorter ranges produce a faster, more responsive score. Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained. Long/Short Thresholds (thresL/thresS) Convert a continuous score into regime thresholds. Long threshold is a “trend quality requirement” for bullish bias. Short threshold is used as a deterioration / breakdown trigger via crossunder logic. Volatility-adjusted trailing structure The trailing line is built from ATR bands around price: up = close + ATR * factor dn = close - ATR * factor Then a trailing value is maintained with one-sided ratcheting behavior: If dn rises above the previous trail, the trail steps up (ratchets upward). If up drops below the previous trail, the trail steps down (ratchets downward). This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends. Why the trail is a better base than raw price Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR: A move is interpreted relative to current volatility, not in absolute points. High-volatility chop is less likely to be misread as a trend. Trend structure is normalized across assets and timeframes more reliably. This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs. Trend scoring logic The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window: If current trail > trail , add +1 If current trail < trail , add -1 This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out. How to interpret the score Think of the score as a “trend conviction meter”: High positive values: bullish persistence, structure is advancing consistently. Low positive values: bullish bias may exist, but trend quality is weak or unstable. Near zero: indecision, range behavior, or frequent structure challenges. Negative values: bearish dominance or sustained deterioration in structure. The speed of score change matters too: Fast expansion suggests a fresh regime gaining traction. Slow grind suggests mature trend continuation. Rapid compression often signals consolidation, exhaustion, or a transition phase. Signals and regime transitions This script uses two different styles of conditions (important detail): Long condition: score > long threshold (state-based, persistent while true). Short condition: crossunder(score, short threshold) (event-based trigger). That means: Long bias can remain active as long as score stays above the long threshold. Short regime flips are triggered at the moment the score breaks down through the short threshold. On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using: Long shape when signal becomes 1 and previous signal was -1 Short shape when signal becomes -1 and previous signal was 1 This keeps signals clean and avoids spam, making it usable for alerts and regime tagging. Visual presentation The indicator is designed to work both as a panel oscillator and as an on-chart overlay: Score plot (oscillator): color reflects active regime state. Optional trail on price: volatility-scaled structure line on chart. Optional threshold reference lines: clear regime boundaries. Optional candle coloring: makes regime obvious without reading the panel. Optional background shading: useful for quick scanning and backtesting visually. You can use only the score, only the trail, or both together depending on your workflow. Practical use cases 1) Trend filter for systems Use the score as a regime gate: Allow long entries only when score is above the long threshold. Avoid longs when score compresses toward zero or loses the threshold. Treat the short threshold break as “trend is no longer healthy.” This often improves system expectancy by reducing exposure during low-conviction conditions. 2) Trend quality grading Instead of treating all uptrends as equal: Higher score = higher persistence, better continuation odds. Score plateau = trend losing pressure, continuation becomes less reliable. Score decay while price rises = trend is getting weaker under the hood. This is useful for position sizing or deciding whether to add to winners. 3) Trade management and exits Two complementary tools exist here: Trail line can act as a dynamic stop reference or structure invalidation level. Score behavior can be used to scale out when persistence fades (before a full flip). Many traders use the trail for “hard structure” and the score for “soft deterioration.” 4) Breakout confirmation vs fakeouts A breakout that immediately fails to build score is often low quality. Healthy breakouts usually come with score expansion as structure advances. Fakeouts often revert quickly, score fails to climb, and regime stays unstable. Tuning guidelines These are general behaviors you can expect when adjusting settings: Higher ATR period and factor: slower regimes, fewer flips, cleaner structure. Lower ATR period and factor: faster reaction, more sensitivity, more noise risk. Longer loop range: score becomes more “confidence-based,” slower to change. Shorter loop range: score becomes more “tactical,” faster but more jittery. A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build. Market behavior focus Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to: Stay out of low-quality chop where most indicators whipsaw. Quantify when volatility is being expressed directionally (constructive trend). Provide a clean regime framework for filtering, alignment, and management. Summary Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
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2
Institutional Confluence Mapper [JOAT]Institutional Confluence Mapper (ICM) Introduction The Institutional Confluence Mapper is an open-source multi-factor analysis tool that combines five analytical modules into a unified confluence scoring system. It synthesizes institutional trading concepts including Relative Rotation analysis, Smart Money flow detection, Liquidity zone mapping, Session-based timing, and Volatility regime classification. Rather than relying on a single indicator, ICM evaluates market conditions through multiple lenses simultaneously, presenting a clear confluence score (0-100%) that reflects the alignment of various market factors. This script is fully open-source under the Mozilla Public License 2.0. Originality and Purpose This indicator is NOT a random mashup of existing indicators. It is an original implementation that creates a unified institutional analysis framework: Why Multiple Modules? Most retail traders struggle because they rely on single indicators that provide conflicting signals. Institutional traders evaluate markets through multiple frameworks simultaneously. ICM bridges this gap by providing a unified view of complementary analysis methods. The Confluence Scoring System: Each module contributes to a weighted confluence score (0-100%). Scores above 65% indicate bullish confluence; below 35% indicates bearish confluence. How Components Work Together: RRG (Relative Rotation) determines macro bias - is this asset outperforming or underperforming its benchmark? Institutional Flow confirms smart money activity - are institutions accumulating or distributing? Volatility Regime determines strategy selection - trend-follow or mean-revert? Liquidity Detection identifies key levels - where are the stop hunts happening? Session Analysis optimizes timing - when should you trade? The Five Core Modules 1. Relative Rotation Momentum Matrix (RRG) Compares the current symbol against a benchmark (default: SPY) using the JdK RS-Ratio methodology with double-smoothed EMA. Assets rotate through four quadrants: LEADING: Outperforming with positive momentum (strongest bullish) WEAKENING: Outperforming but losing momentum LAGGING: Underperforming with negative momentum (strongest bearish) IMPROVING: Underperforming but gaining momentum 2. Institutional Flow Analysis Analyzes volume patterns to detect smart money activity: Volume Z-Score measures how unusual current volume is Buy/Sell pressure estimation based on candle structure Unusual volume detection highlights institutional activity 3. Volatility Regime System Uses ATR percentile ranking to classify market conditions: COMPRESSION: Low volatility (ATR < 20th percentile) - potential breakout EXPANSION: High volatility (ATR > 80th percentile) - trending TRENDING_BULL/BEAR: Directional trends based on EMA alignment RANGING: Sideways consolidation 4. Liquidity Detection Identifies institutional liquidity targets using swing point analysis: Swing highs/lows are tracked and displayed as dashed lines Purple dashed lines mark resistance/sell-side liquidity Teal dashed lines mark support/buy-side liquidity Gold diamonds appear when liquidity sweeps are detected (potential reversals) 5. Session Momentum Profiler Tracks trading sessions based on your selected timezone: Asian Session: 7PM - 4AM EST London Session: 3AM - 12PM EST New York Session: 9:30AM - 4PM EST London/NY Overlap: 8AM - 12PM EST (peak liquidity) Visual Elements Main Dashboard (Top-Right): BIAS: Overall direction with confluence percentage RRG: Current quadrant and momentum FLOW: Smart money bias and volume status REGIME: Market condition and volatility percentile SESSION: Active trading session and current time LIQUIDITY: Active zones and grab signals SIGNAL: Actionable recommendation Chart Elements: Gold Diamond: Liquidity grab (potential reversal point) Teal Dashed Line: Support / Buy-side liquidity zone Purple Dashed Line: Resistance / Sell-side liquidity zone EMA 21/55/200: Trend structure with cloud fill Volatility Bands: ATR-based channels How to Use Step 1: Check the BIAS row for overall market direction Step 2: Check REGIME to understand market conditions Step 3: Identify key levels using liquidity zones and EMAs Step 4: Wait for confluence above 65% (bullish) or below 35% (bearish) Step 5: Look for gold diamond signals at key levels Best Setups Bullish: Confluence >65%, RRG in LEADING/IMPROVING, bullish flow, price near teal support zone. Bearish: Confluence <35%, RRG in LAGGING/WEAKENING, bearish flow, price near purple resistance zone. Reversal: Gold diamond appears after price sweeps a liquidity zone. Key Input Parameters Benchmark Symbol: Compare against (default: SPY) RS-Ratio/Momentum Lookback: RRG calculation periods Volume Analysis Period: Flow detection lookback Swing Length: Liquidity zone detection ATR Period/Rank Period: Regime classification Timezone: Session detection timezone Alerts Liquidity Grab Bull: Bullish sweep detected Liquidity Grab Bear: Bearish sweep detected High Confluence Bull: Confluence above 70% High Confluence Bear: Confluence below 30% Best Practices Use on 1H, 4H, or Daily timeframes for reliable signals Combine with price action for confirmation Respect the regime - don't fight strong trends Trade during London/NY overlap for best liquidity Wait for high confluence scores before entering Always use proper risk management Limitations Works best on liquid markets with sufficient volume Session features optimized for forex/crypto markets RRG requires a valid benchmark symbol No indicator predicts the future - use proper risk management Disclaimer This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. -Made with passion by officialjackofalltrades
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officialjackofalltrades tarafından
2
Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion. Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics. This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs. ⚡️ How to Use 1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H. 2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming. 3. Monitor for breakout signals: • LONG (green triangle below bar): Price broke above the range. Consider entering a long position. • SHORT (red triangle above bar): Price broke below the range. Consider entering a short position. 4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts. 5. Adjust parameters as needed for different instruments or timeframes. Tip: Combine with volume analysis or trend filters for higher-probability setups. ⚡️ How It Works 1. Low Volatility Bar Detection A bar is classified as "low volatility" when it meets the following criteria: • True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold. • (Optional) Candle Body is at or below the average body size multiplied by a separate threshold. This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment. 2. Range Box Formation When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box: • The box expands to encompass the high and low of qualifying bars. • A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active). • A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range. • If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated. 3. Breakout Detection Once a qualified range is established, the indicator monitors for breakouts: • Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range. • Close Mode: Requires only a close beyond the range boundary. • (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation. • (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle. Signals are displayed in real-time and confirmed upon bar close. ⚡️ Inputs & Parameters • Volatility Window: Lookback period for calculating average TR and average body size. • TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol. • Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled). • Use Body Filter: Toggle the body size filter on/off. • Min Bars in Box: Minimum number of bars required for a range to become qualified. • Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol. • Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria. • Max Box Height: Maximum allowed range height as a multiple of the base ATR. • Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only). • Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF). • Require Candle Direction: Enforce green candle for LONG, red candle for SHORT. ⚡️ Visual Features • Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts. • Breakout Signals: • LONG: Green upward triangle displayed below the price bar with "LONG" label. • SHORT: Red downward triangle displayed above the price bar with "SHORT" label. • Range Levels: Optional horizontal plots for the active range's high and low. • Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart. • Full Customization: Colors, transparency, and border width are all adjustable. ⚡️ Alerts Two alert conditions are available: • LVRB LONG: Triggered on a confirmed bullish breakout (bar close). • LVRB SHORT: Triggered on a confirmed bearish breakout (bar close). ⚡️ Use Cases • Breakout Trading: Enter positions when price escapes a well-defined low-volatility range. • Volatility Expansion Plays: Anticipate increased volatility following periods of compression. • Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts. • Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones. ⚡️ Notes • Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation. • Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended. ⚡️ Credits Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies. ⚡️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes.
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lakshmivibha tarafından
4
Purra Buy Sell Signalsindicator.lk's purra buy sell is a precision-tuned indicator designed specifically for XAU/USD (Gold) 5-minute scalping. It combines a smoothed trend-filter (based on a multi-stage EMA cascade with adaptive smoothing) and an ATR-based trailing stop logic to generate high-confidence Buy and Sell signals directly on the price chart. Ideal for short-term traders seeking clean, responsive entries with minimal lag, this tool helps you: Catch early trend reversals Avoid choppy false signals Execute fast scalps during active gold sessions (London & Asian overlap) Built with risk-aware logic and visual clarity in mind—green labels = long opportunities, red labels = short setups. Fully compatible with alerts for automated trade execution. Optimized for XAUUSD on the 5-minute timeframe. Works best during high-liquidity hours. 🛠️ How to Use (for Gold 5-Minute Scalping) Apply to Chart: Add the indicator to XAU/USD (Gold) on the 5-minute timeframe. Signal Interpretation: Green "Buy" label below bar: Strong bullish momentum—consider long entry. Red "Sell" label above bar: Strong bearish momentum—consider short entry. Confirmation Tips: Trade only when the background ribbon or trend line (if enabled) aligns with the signal direction (green = uptrend, red = downtrend). Avoid signals during major news events or low volatility (e.g., late NY session). For higher accuracy, combine with price action (e.g., rejection candles, break of micro structure). Risk Management: Use tight stop-losses just beyond recent swing points. Target 1:1 or 1:2 risk-reward; gold moves fast on 5M! Alerts: Enable TradingView alerts on “Purra Long” / “Purra Short” conditions for real-time notifications.
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Step Channel█ OVERVIEW "Step Channel" is a technical analysis indicator that builds a dynamic price channel based on market volatility (ATR) and a step-like logic for updating levels. It is ideal for traders using market structure analysis, price action, as well as trend-following, range-bound, and breakout strategies. Thanks to the adjustable channel width, the indicator can be easily adapted to various instruments, timeframes, and trading styles – from scalping to swing trading. █ CONCEPTS The indicator is a universal trading tool that supports trend detection, trading in consolidation, and breakout-based strategies. The key feature is the step-like update of the baseline (MID). Unlike classic moving averages: - the MID line does not react to every candle - it updates only after breaking a volatility-based level - each breakout creates a new "step" in the market structure This keeps the market structure clear, with regime changes being distinct and objective. █ FEATURES ATR-based dynamic channel The channel width automatically adjusts to current volatility – widening during high-activity periods and narrowing in consolidations, ensuring constant adaptation to market conditions. Structural MID line Central, adaptive trend line updated in steps after a breakout. Inner levels (IN) The zone of typical price movement within the structure. These levels change only after a sustained breakout confirmed by candle close – this exact breakout generates the structural signals (Step UP/DOWN). Outer levels (OUT) An orientational zone indicating the potential reach of a strong, single price move beyond the current structure. Price never stays in this zone (levels shift immediately after breaking IN). Primarily used as: - main take-profit levels - dynamic SL in aggressive strategies Structural signals Generated exclusively at the moment of a real structure change: - Step UP – upside breakout - Step DOWN – downside breakout Signals appear only on the breakout candle. Built-in alerts Instant notifications for: - Step UP - Step DOWN █ HOW TO USE Adding to the chart Search in the TradingView indicators library: "Step Channel" or paste the code in Pine Editor. Key parameter configuration: - ATR Length – longer value = more stable structure (fewer signals) - Inner Multiplier – sensitivity of inner levels (lower = narrower operational channel) - Outer Multiplier – reach of outer extremes (higher = further TP) - Price position interpretation: - near MID → market equilibrium, potential consolidation - in IN zone → healthy, controlled trend move - in OUT zone → only an orientational target for extreme move (price does not stay in this zone) █ APPLICATIONS - Trend strategies – entries after Step UP/DOWN signal in the direction of the new trend, re-entry at MID, trailing stop along MID; generally positions only in line with the current structure direction - Range trading – buying at lower IN/OUT and selling at upper IN/OUT in the absence of structure change - Breakout strategies – entries on breakout candle close with volume or HTF confirmation - Position management – SL behind MID or opposite IN, TP at OUT (full) or IN (partial) - Scalping on low timeframes – quick trades inside the IN channel with tight SL - Swing trading – trend filtering on HTF and precise entries on LTF after structural signal █ NOTES - works on all markets and timeframes - requires individual adjustment of multipliers to the instrument and trading style - recommended to use with additional indicators, e.g. RSI, Fibonacci, pivots
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Uncle_the_shooter tarafından
[codapro] Projection Bands Description Projection Bands is a visual forecasting tool designed to help traders anticipate potential breakouts and breakdowns before they occur. Unlike traditional lagging overlays, this indicator uses forward slope estimation, pressure-adjusted volatility, and band expansion models to project likely price zones over time. Whether you're momentum trading or watching for reversion signals, this system provides a powerful forward-looking edge. Key Features Forward Slope Logic using price regression and return-based momentum Pressure Modeling Input (0–100) to simulate contrarian or trending environments Volatility-Based Band Expansion using both return sigma and ATR Live Re-Anchoring every 30 minutes for fresh projection pivots Customizable Band Width Scaling (Square Root of Time vs Linear) Optional Band Trail for historical projection reference Buy/Sell Signals with directional logic, not reversals Buy/Sell Signals Sell: Price closes below the lower projection band Buy: Price closes above the upper projection band Signals trigger only on confirmed candle closes beyond the outer boundaries. Default Settings (Optimized) Setting Value Projection Horizon 180 minutes Bars Ahead (Forecast Span) 20 bars Re-Anchor Interval 30 minutes Projection Mode Momentum Contrarian Weight 0.5 Momentum Weight 0.5 Band Width Scaling Linear Return Volatility Multiplier 0.25 ATR Volatility Multiplier 1.0 Pressure Influence Multiplier 0.5 ATR Multiplier (Step Size) 1.0 Return Multiplier (Step Size) 1.0 Dummy Pressure 50 How It Works This system blends multiple components into a forward projection engine: Forward Slope Logic The projected band centerline is based on: A weighted regression of return-based momentum, and A contrarian pressure adjustment using ATR or log-return volatility. This hybrid model allows the bands to lean into or away from trend direction, unlike standard overlays that lag behind price. Pressure Modeling The Pressure input (0–100) modifies the projection behavior: Low pressure (0–30): favors trend continuation High pressure (70–100): favors contrarian pullback logic Mid-range (around 50): balanced projection Pressure affects both the forecast slope and volatility expansion. Volatility Width Scaling Band width expands over time using a combination of: Return volatility (standard deviation of log returns) ATR volatility for smoother baseline context The band expansion can follow either: Square Root of Time (for options-style risk scaling), or Linear Growth (more aggressive for trending environments) As volatility rises , the projected bands widen, reflecting an expanding range of possible future price movement. How to Use It Use for breakout anticipation or volatility modeling. Watch for price closes outside the band boundaries as a signal for potential movement continuation. Adjust pressure to simulate market regime: trend vs mean-reversion. Customize bars ahead and re-anchor interval to match your timeframe. Use alongside structure or volume tools for greater confluence. Disclaimer This tool was created using the CodaPro Pine Script indicator design engine — an architecture system for building visual signal overlays and automated alerts. It is provided for educational and informational purposes only and does not constitute financial advice. Always test thoroughly before applying to live market conditions.
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ArisCodes tarafından
1
Bollinger Aurora Velocity [Pineify]Pineify - Bollinger Aurora Velocity The Bollinger Aurora Velocity is an enhanced volatility and trend analysis indicator that transforms the classic Bollinger Bands into a visually stunning, multi-dimensional trading tool. By combining standard deviation bands with historical extreme tracking and dynamic momentum coloring, this indicator provides traders with deeper insights into volatility cycles, squeeze conditions, and trend strength all in one overlay. Key Features Classic Bollinger Bands with customizable period and standard deviation multiplier Nebula Memory Cloud tracking historical band extremes for volatility context Volatility Squeeze Detection with visual dot indicators on the basis line Gradient-based candle coloring reflecting normalized price position Multi-layer aurora gradient fills for intuitive visual analysis How It Works The indicator begins with a standard Bollinger Bands calculation using a simple moving average as the basis line, with upper and lower bands placed at a user-defined multiple of standard deviation. This core structure measures price volatility and identifies overbought/oversold conditions. The Nebula Memory Cloud extends beyond traditional bands by tracking the highest point of the upper band and lowest point of the lower band over a configurable lookback period. This creates an outer envelope showing the maximum volatility expansion in recent history. Trading Ideas and Insights The Volatility Squeeze is a powerful concept where contracting Bollinger Bands often precede significant price breakouts. This indicator detects squeezes by comparing the current band width to its 100-period simple moving average. When the current range falls below this average, yellow dots appear on the basis line, alerting traders to potential explosive moves ahead. When squeeze dots appear and the outer nebula cloud shows significant distance from the current bands, it suggests volatility is at a historical low relative to recent extremes—a setup often followed by strong directional moves. How Multiple Indicators Work Together Bollinger Bands establish the primary volatility envelope and mean-reversion zones The Nebula Cloud provides historical context, showing how current volatility compares to recent extremes Squeeze Detection identifies compression phases using relative bandwidth analysis Normalized Scoring translates price position into a 0-100 scale for gradient coloring Unique Aspects Unlike standard Bollinger Bands indicators, the Aurora Velocity creates a heat-map effect on price bars. The normalized score calculates where price sits within the bands as a percentage, then applies a smooth gradient from bearish to bullish colors. This allows traders to instantly perceive momentum strength—saturated bullish colors near the upper band indicate strong upward pressure, while saturated bearish colors near the lower band signal selling dominance. The aurora-style gradient fills between band layers create visual depth, making it easy to distinguish the core volatility zone from the historical extreme boundaries. How to Use Monitor candle colors for momentum direction—bright green indicates bullish positioning, bright red signals bearish pressure Watch for yellow squeeze dots on the basis line as early warning for potential breakouts Use the outer nebula cloud to assess if current volatility is testing historical extremes Set alerts for price breakouts above the upper band or below the lower band Combine squeeze conditions with the nebula cloud width to gauge breakout potential Customization Base Period - Controls Bollinger Bands calculation length (default: 20) Standard Deviation Multiplier - Adjusts band width from the basis (default: 2.0) Price Source - Select the price input for calculations (default: close) Nebula Memory Length - Lookback period for tracking historical extremes (default: 50) Color Settings - Customize bullish and bearish gradient colors Conclusion The Bollinger Aurora Velocity elevates traditional Bollinger Bands analysis by adding historical volatility context through the Nebula Cloud, precise squeeze detection for breakout anticipation, and intuitive momentum visualization through gradient candle coloring. This combination helps traders identify not just where price is relative to volatility bands, but how that volatility compares to recent history and when compression may lead to expansion.
Pine Script® göstergesi
Pineify tarafından
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates scored BUY/SELL signals with quality ratings (60-100 points) - Categorizes signals into 4 strength levels for easy decision making - Supports Multi-Timeframe (MTF) analysis - Auto-detects asset type and applies optimized QQE factors - Provides customizable alerts based on score thresholds Signal Hierarchy: - 💰 BIG CHANCE (90-100): Highest probability setups - ⚡ SUPER (80-89): Very strong signals - 🚀 POWER (70-79): Strong signals with HMA confluence - 💪 STRONG (60-69): Standard quality signals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【QQE Calculation】 QQE is based on a smoothed RSI with dynamic bands: 1. Calculate RSI with specified period (default: 14) 2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5) 3. Calculate ATR of the smoothed RSI 4. Create dynamic bands: RSI ± (ATR × QQE Factor) The QQE Factor is automatically adjusted per asset: - Forex (USDJPY, EURUSD): 3.8 - 4.238 - Gold (XAUUSD): 8.0 - Crypto (BTC): 12.0, (ETH): 10.0 - Indices (NASDAQ): 4.238 【HMA Calculation】 Hull Moving Average for trend confirmation: HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n) 【Signal Generation】 - BUY: QQE crosses above its band (QQExlong == 1) - SELL: QQE crosses below its band (QQExshort == 1) 【AI Scoring System】 The score is calculated from multiple factors: Signal Base (0-35 points): - QQE + HMA confluence: +35 - QQE or HMA alone: +25 QQE Strength (10-25 points): - RSI distance from 50 (momentum strength) - >30 distance: +25, >20: +20, >10: +15, else: +10 Volatility Score (-10 to +15 points): - ATR ratio 1.1-2.0: +15 (optimal volatility) - ATR ratio <0.8: -10 (low volatility warning) Volume Confirmation (-5 to +15 points): - Volume > 120% of average: +15 - Volume < 80% of average: -5 Base Points: +15 Final Score = Clamped(0, 100, sum of all factors) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 5M, 15M, 1H, 4H - Best on: Forex, Gold, NASDAQ, BTC/ETH - Minimum Score: 60 (adjustable) 【Reading Signals】 - BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position - SUPER (Yellow label, 80-89): Very strong - standard position - POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation - STRONG (Green/Red label, 60-69): Valid but use additional confirmation 【MTF Feature】 Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually. 【Alert Setup】 1. Enable alerts in settings 2. Set minimum score threshold (default: 60) 3. Create alert with "Any alert() function call" 【Important Notes】 - Signals are confirmed at bar close (no repainting) - Higher scores = higher probability, not guaranteed profits - Always use proper risk management - Consider market context and support/resistance levels ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS ⏱️ MTF Settings - MTF Use: Enable multi-timeframe analysis - Manual Timeframe: Override auto-detection - Show Panel: Display info panel (default: OFF) 🎨 Design - Neon Colors: Vibrant color scheme - Show HMA Line: Display HMA on chart - Minimum Score: Filter weak signals - Label Transparency: Adjust label opacity - Large Labels: Mobile-friendly sizing 🔧 QQE Settings - RSI Period: RSI calculation period - Smoothing: EMA smoothing factor - AI Score: Enable scoring system 🔔 Alerts - Enable Alerts: Turn on/off notifications - Minimum Score: Alert threshold ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS QQE concept originally developed by John Ehlers. HMA (Hull Moving Average) by Alan Hull. Enhanced with scoring system and MTF support by EduVest. License: Mozilla Public License 2.0
Pine Script® göstergesi
EduVest_doro tarafından
Auto Fibo Pivot [Ultimate MTF]Stocks: Locks lines during market hours (09:00-15:30) and switches to "Preview Mode" (Next Day) after market close. Forex/Crypto: Always Fixed Mode (24h). Multi-Timeframe (MTF): Select between Auto Daily, Weekly, Monthly, or Yearly pivots. Fully Customizable: Easily change Fibonacci ratios and colors in the settings. No Repaint: Stable lines on 1-minute charts. 自動判別・マルチタイムフレーム対応のフィボナッチピボット 株・為替を自動判別し、最適なモードで動作する実戦向けインジケーターです。 主な機能: 自動判別機能: 日本株: ザラ場中はラインを完全固定。15:30以降は自動で「明日の予習モード」に切り替わります。 為替・仮想通貨: 24時間常時固定モードで動作します。
Pine Script® göstergesi
KokusaiElectric tarafından
Strategy H4-H1-M15 Triple Screen + TableMaster of Multi-Timeframe Trading: "Triple Screen" Strategy "▲▼ & BUY/SELL M15 Tags" — H1 Ready signals warn the trader in advance that a reversal is brewing on the medium timeframe. Settings: Stochastic Settings: Oscillator length and smoothing adjustment. Overbought/Oversold: Overbought/oversold level settings (default 80/20). SL Offset: Buffer in ticks/pips for setting stop-loss beyond extremes. Usage Instructions: Long: Background painted light green (H4 Trend UP + H1 Stoch Low), wait for green "BUY M15" tag. Short: Background painted light red (H4 Trend DOWN + H1 Stoch High), wait for red "SELL M15" tag. Entry → SL → TP = PROFIT Short Description (for preview): Comprehensive "Triple Screen" strategy based on MACD (H4) and Stochastic (H1, M15). Features trend monitoring panel and precise entry signals with automatic Stop Loss calculation. Technical Notes (for developers): Hardcoded Timeframes: "240" (H4) and "60" (H1) are hardcoded. For universal use on other timeframe combinations (D1-H4-H1), make these input.timeframe variables. Repainting: request.security may cause repainting on historical bars (current bar is honest). Standard practice for multi-timeframe TradingView indicators. Alerts: Built-in alert support for one-click trading convenience.
Pine Script® göstergesi
Alex8181999 tarafından
1
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals with S/A/B/C grade classification - Automatically detects asset type and applies optimized QQE factors - Integrates SMC price zones (support/resistance) for grade enhancement - Filters signals by trading session time - Displays real-time session and market status Grade Hierarchy: - S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality - A (Green/Red): Score 70+ during trading hours - High quality - B (Darker): Score 50-69 during trading hours - Medium quality - C (Gray, small): Outside trading hours or weak signal - Low quality ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【QQE Core Calculation】 The QQE (Quantitative Qualitative Estimation) is calculated as: 1. RSI with configurable period (default: 14) 2. EMA smoothing of RSI (Smoothing Factor: 5) 3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor) QQE Factor is auto-adjusted per asset: - USD/JPY: 4.238 - EUR/USD: 3.8 - Gold (XAU/USD): 8.0 - NASDAQ/US100: 9.0 【Signal Generation】 - BUY: QQE line crosses above its trailing stop (QQExlong == 1) - SELL: QQE line crosses below its trailing stop (QQExshort == 1) 【Internal Scoring System】 Score components (0-100): - Signal Base: +25 points when signal occurs - QQE Strength: +10 to +20 based on RSI distance from 50 - Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility) - Volume Confirmation: +10 (high volume), -5 (low volume) - Session Bonus: +5 during London/NY sessions - Base: +20 points 【Grade Assignment】 - Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours - Grade A: Internal score >= 70 AND during trading hours - Grade B: Internal score >= 50 AND during trading hours - Grade C: Outside trading hours OR score < 50 【SMC Price Zone Integration】 Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels. 【Trading Session Filter】 Configurable active trading hours (JST timezone): - Default: 15:00 - 01:00 JST (London + NY overlap) - Signals outside this window receive C-grade ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H - Best on: USD/JPY, EUR/USD, Gold, NASDAQ - Focus on: S and A grade signals 【Trading Strategy】 - S-Grade (Gold/Orange): Highest conviction - consider larger position - A-Grade (Green/Red): Strong signal - standard position - B-Grade: Valid but use additional confirmation - C-Grade: Avoid or use minimal size 【Setting Up SMC Zones】 1. Identify key support/resistance on higher timeframe 2. Input prices in SMC Price Settings 3. Adjust tolerance % (default: 0.15%) 4. S-grade appears when signal occurs near these levels 【Info Panel】 Top-right panel shows: - Asset name and detection mode (Auto/Manual) - Current session (Tokyo/London/NY) - Trading hours status - SMC zone proximity 【Alert Setup】 1. Enable alerts in settings 2. Create alert with "Any alert() function call" 3. Alerts include grade, price, and session info ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS Basic Settings: - Enable Alerts: Turn on/off notifications - Time Filter: Activate trading hour filter - Start/End Hour: Define active trading window (JST) QQE Settings: - RSI Period: RSI calculation period - RSI Smoothing: EMA smoothing factor - Auto QQE Factor: Auto-detect optimal factor per asset - Manual QQE Factor: Override when auto is disabled SMC Price Settings: - Support/Resistance levels for each asset - Tolerance %: How close to SMC line for S-grade Display Settings: - Grade Only: Hide QQE lines, show only signals - Show SMC Lines: Display support/resistance on chart - Show Debug: Display asset detection info ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS QQE concept originally developed by John Ehlers. SMC (Smart Money Concepts) integration and grading system by EduVest. License: Mozilla Public License 2.0
Pine Script® göstergesi
EduVest_doro tarafından
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled “trend lanes” around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1–L4), with higher tiers sourced from higher timeframes to show local structure → higher-timeframe structure on a single chart. ──────────────────────────────────────── 1. What it does (plain English) ──────────────────────────────────────── Think of each tier as a lane system around the trend: • Inner rails = “normal volatility lane” around the WMA • Outer rails = “extension / extreme zone” for that tier • Higher tiers (L3/L4) show bigger structure • Lower tiers (L1/L2) show active lane behavior Typical interpretation: • Price inside inner rails → normal variance around the trend lane • Between inner and outer → stretched, but not extreme • Outside outer rails → extended vs that tier’s volatility band ──────────────────────────────────────── 2) Why it’s useful (and why it’s not a mashup) ──────────────────────────────────────── This is not a bundle of unrelated indicators. Everything serves one cohesive purpose: • Visualize trend + volatility lanes across multiple time horizons • Keep rails consistent and readable (levels, fills, outlines) • Optional multi-timeframe aggregation for structure context • A compact 6-alert set to catch key transitions without alert spam ──────────────────────────────────────── 3) What you see on the chart ──────────────────────────────────────── For each level (L1–L4), you can show: • Upper/Lower Inner rails • Upper/Lower Outer rails • Optional center fill (between outer rails) = operating range • Optional MA line per tier (off by default to reduce clutter) • Base WMA line (L1 MA) if enabled Suggested workflow: • Start with L1 + L2 only • Add L3/L4 once you like the structure view • Use Dynamic Opacity if the chart feels crowded ──────────────────────────────────────── 4) How it works (transparent formula) ──────────────────────────────────────── For each tier: • MA = WMA(source, baseLen × levelMultiplier) • ATR_like = Wilder ATR (default) OR WMA(TrueRange, atrLen × levelMultiplier) Inner rails: • upperInner = MA + ATR_like × innerMult • lowerInner = MA - ATR_like × innerMult Outer rails: • upperOuter = MA + ATR_like × outerMult • lowerOuter = MA - ATR_like × outerMult Tier behavior: • L1 uses the chart timeframe • L2–L4 can use user-selected HTFs (defaults: 4H / D / W) or optional auto-selection ──────────────────────────────────────── 5) Multi-timeframe behavior + interpolation ──────────────────────────────────────── • L2–L4 use request.security() with lookahead OFF (no future data). • HTF bands naturally “step” when the HTF candle confirms. • Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction. Repaint note: • If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior. ──────────────────────────────────────── 6) Auto-select L2/L3/L4 (optional) ──────────────────────────────────────── Two modes: A) Ladder (deterministic) • Picks “bigger” timeframes relative to the chart (simple and fast). B) Score (data-driven) • Tests candidate timeframes and scores them using: • Coverage: % of closes inside the OUTER band over Score Lookback • Width: average outer-band width as a fraction of MA • Targets: Target Coverage + Target Width • Weights: Coverage Weight + Width Weight Performance notes: • Score mode is heavier (many candidates). • “Lock auto-select after first pick” is recommended to reduce load and avoid platform limits. ──────────────────────────────────────── 7) Alerts (6 total, aggregated across L1–L4) ──────────────────────────────────────── Alerts trigger if ANY tier meets the condition: • Cross ABOVE an OUTER band • Cross BELOW an OUTER band • Cross ABOVE an INNER band • Cross BELOW an INNER band • Price is OUTSIDE ABOVE an OUTER band • Price is OUTSIDE BELOW an OUTER band These are intentionally aggregated to keep the alert count small while catching meaningful transitions. ──────────────────────────────────────── 8) Limitations & transparency ──────────────────────────────────────── • Indicator only (not a strategy). No performance claims. • MTF values update when the higher timeframe candle confirms. • Interpolation is visual smoothing; it does not forecast. • Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles. • If you enable repainting options, signals/levels may change intrabar. ──────────────────────────────────────── 9) Credits/reuse disclosure ──────────────────────────────────────── • Conceptual inspiration: VDUB and the community “VDUB_BINARY_PRO_3_V2” idea of WMA ± TR/ATR × multipliers. • This version is a reimplementation + extension, adding: o Multi-tier architecture (L1–L4) o Higher-timeframe sourcing + optional interpolation o Optional scoring-based timeframe selection o Dynamic opacity + streamlined plotting o Aggregated 6-alert set No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure. www.tradingview.com
Pine Script® göstergesi
actemplet tarafından
ATR Units + % (Watermark)A clean and simple indicator for displaying ATR (Average True Range) volatility directly on the chart, without any lines, panels, or visual clutter. The indicator shows: ATR in price units (how much the asset moves in absolute terms) ATR as a percentage (%) of the current price The values are displayed as a text watermark on the chart, allowing you to quickly see the volatility level at a glance without interfering with price analysis. Customization Options: Set ATR length Choose text size Choose text color Control transparency (for a true watermark look) Choose full chart position: Vertical: Top / Middle / Bottom Horizontal: Left / Center / Right Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument. The ATR values shown (both units and percentage) reflect historical price volatility only and do not predict future market behavior. All trading decisions are the sole responsibility of the user. Trading involves risk. Always use proper risk management, and consult a licensed financial professional if needed before making trading decisions.
Pine Script® göstergesi
ariecold tarafından
Pulsar Heatmap CVD/OBV [by Oberlunar]Pulsar Heatmap CVD/OBV is a flow/price-consensus dashboard that turns OBV, CVD and their combination blend into a compact “heatmap + bias/signal” view, with optional main-chart candle coloring and HUD overlays. What it shows The panel is split into 3 horizontal lanes (OBV / CVD / COMBO). Each lane is further split into two halves: Flow half: the normalized OBV/CVD/COMBO component (either per-bar Delta or Cumulative series). PriceΔ half: the normalized divergence between price and the lane (price unit − flow unit), highlighting when price moves with or against the flow proxy. Colors use intensity-based transparency so you can quickly spot pressure, compression, and disagreement between lanes. Core engines Normalization: Z-Score→tanh, Z-Score→clamp, MinMax, or None (unit range ≈ ). Bias engine (6 halves): builds a directional BIAS from the six components (OBV/CVD/COMBO × Flow/PriceΔ), with optional hysteresis to reduce flicker. Signal engine: triggers LONG/SHORT only on full alignment (all 6 halves agree), with confirm-bars and optional sticky behavior. ROC/Acceleration layers: optional impulse context (ROC + ACC) to gate signals and/or boost bias strength when momentum is supportive. AST filter: a strict directional filter combining volatility regime, BB expansion/contraction, MTF RSI prior and Kalman-smoothed evidence. When AST is directional, it can block opposite signals to enforce coherence. Visual tools Bias/Signal bands: top/bottom bands render BIAS strength and SIGNAL state; yellow highlights indicate disagreement/blocked states. Candle colouring (main chart): optionally colours chart candles from LaneScore / Bias / Signal / Bias+Signal (uses overlay drawing where supported). Signal labels: optional LONG/SHORT markers (with “better price than last shown” logic). Triangle HUD: right-side geometric HUD summarising OBV/CVD/COMBO consensus + disagreement cues. Timed Exhaustion / Absorption table: compact state machine that flags momentum exhaustion and absorption-like conditions using tight range + ROC/ACC behaviour. How to use Start with Lane data = Delta for faster microstructure timing; switch to Cumulative for macro context. Choose a normalisation that fits your symbol’s volatility (ZScore→tanh is usually stable). Read BIAS as the current dominant direction/strength; treat SIGNAL as the strict “all lanes aligned” confirmation. If you want stricter coherence, keep the AST filter enabled (it is integrated by design and blocks opposite-direction signals when directional). Setup 1 — Long Signal (Clean Alignment + Impulse) In this example, Pulsar Heatmap transitions into a clear long setup when the system prints a LONG SIGNAL. The key idea is simple: the indicator does not enter on “bias” alone. It waits for full alignment across the internal lanes, optionally reinforced by the ROC/Acceleration impulse layer, and only then does it confirm a signal on a closed bar (Safe Mode) Setup 2 — Short Signal After Compression (Absorption → Release) In this screenshot, the short trade idea is not coming from “red candles” alone, but from a very specific sequence: the heatmap shows a shift into bearish alignment, the system prints a SHORT SIGNAL, and the timed module confirms that the market was in a tight range while sell pressure started to dominate. Setup 3 — Neutral State (Stand-By Zone, No Trade Yet) In the following screenshot, Pulsar Heatmap is doing something very important: it is clearly saying NEUTRAL 0%. Even if, visually, price could “look” like it might resume upward, the indicator is not providing a directional edge yet. If you are already short, treat DISAGREE as a signal to take profit, tighten the stop, or scale out. Setup 4 — When similar conditions return Setup 4 — Impulse + Exhaustion conditions In this screenshot, you’re basically seeing a “timing warning” configuration. Price prints a sharp bearish extension, but Pulsar Heatmap is not presenting it as a clean continuation setup: the center read is NEUTRAL 0%, while the timed engine shows both Absorption = SHORT and Exhaustion = SHORT. That combination often means: the downside pressure was real, but the move is already in a late/fragile phase (good for managing an existing short, not for opening a new one). This tool uses available volume data from your data provider and approximates flow via OBV/CVD-style logic; results can differ across symbols/brokers and sessions. This script is for educational/analytical purposes and is not financial advice. by Oberlunar 👁️ ⭐
Pine Script® göstergesi
oberlunar_tr tarafından
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals using machine learning classification - Displays kernel regression estimate for trend visualization - Shows prediction values on each bar - Provides trade statistics (Win Rate, W/L Ratio) - Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Lorentzian Distance Calculation】 Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation: d = Σ log(1 + |xi - yi|) This provides: - Better handling of outliers - More stable distance measurements - Reduced sensitivity to extreme values 【Feature Engineering】 The classifier uses up to 5 configurable features: - RSI (Relative Strength Index) - WT (WaveTrend) - CCI (Commodity Channel Index) - ADX (Average Directional Index) Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions. 【k-Nearest Neighbors Classification】 1. Calculate Lorentzian distance between current bar and historical bars 2. Find k nearest neighbors (default: 8) 3. Sum predictions from neighbors 4. Generate signal based on prediction sum (>0 = Long, <0 = Short) 【Kernel Regression】 Uses Rational Quadratic kernel for smooth trend estimation: - Lookback Window: 8 - Relative Weighting: 8 - Regression Level: 25 【Filters】 - Volatility Filter: Filters signals during extreme volatility - Regime Filter: Identifies market regime using threshold - ADX Filter: Confirms trend strength - EMA/SMA Filter: Trend direction confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H, Daily - Neighbors Count: 8 (default) - Feature Count: 5 for comprehensive analysis 【Signal Interpretation】 - Green BUY label: Long entry signal - Red SELL label: Short entry signal - Bar colors: Green (bullish) / Red (bearish) prediction strength 【Trade Statistics Panel】 - Winrate: Historical win percentage - Trades: Total (Wins|Losses) - WL Ratio: Win/Loss ratio - Early Signal Flips: Premature signal changes 【Filter Recommendations】 - Enable Volatility Filter for ranging markets - Enable Regime Filter for trend confirmation - Use EMA Filter (200) for higher timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Original Lorentzian Classification concept and MLExtensions library by jdehorty. Enhanced with visual modifications and alert integration by EduVest. License: Mozilla Public License 2.0
Pine Script® göstergesi
EduVest_doro tarafından
ULTIMATE SMC FUSION HIGHER TIME FRAMES🔥 ULTIMATE SMC FUSION ADAPTED FOR HIGH TIME FRAMES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The high-performance, refined edition of the v4.1 Fusion suite. This Core version brings the signature "Balanced Entry" logic to your charts with enhanced HTF optimization and a zero-latency interface. 🚀 KEY FEATURES: • BALANCED SIGNAL ENGINE: A proven mix of structure breaks and momentum-based institutional entries. • HTF TURN DETECTION: Enhanced logic for Higher Timeframes to find major swing reversal opportunities. • ON-CHART PERFORMANCE PANEL: Live tracking for win rates and growth stats to keep you in the flow. • DYNAMIC ATR TARGETS: Take Profit and Stop Loss levels that adapt automatically to market volatility. • OPTIMIZED SMC OVERLAYS: Clean, professional structure lines and order block visualizers. • PURE LOCAL PROCESSING: No external API overhead—maximum responsiveness for fast decision making. BEST FOR: Forex Scalp/Swing, Professional Charting, and Multi-Asset Analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Feel free to adjust the settings to your own needs. Make your own decisions when you trade, do not put all confidence into a script, it may fail also.
Pine Script® göstergesi
Uncle_SamFx tarafından
EMA Trend Reversal (Regime Change) EMA Trend Reversal (Regime Change) This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system. It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness. Detailed User Guide What the signals mean Unconfirmed signals (triangles) Yellow triangle below price - EMA is turning up intrabar (not yet confirmed) Yellow triangle above price - EMA is turning down intrabar (not yet confirmed) Unconfirmed signals may repeat at a set interval until confirmation. Confirmed signals (dots) Green dot below price - EMA slope has confirmed upward (bullish regime shift) Red dot above price - EMA slope has confirmed downward (bearish regime shift) Confirmed dots only appear after the candle closes. Alerts This script provides two alerts only: EMA Reversal UP EMA Reversal DOWN Each alert can fire on: Initial unconfirmed reversal Reminder interval while unconfirmed Final confirmed reversal Alerts will NOT fire unless this indicator is active on at least one chart. It may be kept on a chart you do not actively trade. Settings EMA Length (default: 21) Reminder interval (minutes) Show / hide unconfirmed triangles Show / hide confirmed dots Dot transparency Colors (locked to preserve signal meaning) Best use cases Identifying trend or regime changes Weekly swing trade entries and exits Holding-period guidance during trends Alert-based monitoring without watching charts This is not a scalp or oscillator signal. It works best when combined with structure, support/resistance, or higher-timeframe context. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. All trading involves risk. Use at your own discretion.
Pine Script® göstergesi
jimmycryp1 tarafından
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average - Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY) - Auto-detects asset type and applies optimized parameters for each instrument - Displays real-time session information and volatility status - Provides alert functionality with customizable cooldown periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Core Logic: ATR Trailing Stop】 The indicator calculates an ATR-based trailing stop using the formula: Trailing Stop = Price ± (Sensitivity × ATR) When price is above the trailing stop and rising, the stop trails below price. When price is below the trailing stop and falling, the stop trails above price. 【Signal Generation】 - BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop - SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop 【Session-Based Sensitivity Adjustment】 The indicator adjusts ATR sensitivity based on trading session (JST timezone): - Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets - London (15:00-23:00): Base sensitivity - moderate volatility - New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility 【Dynamic ATR Adjustment】 When enabled, the indicator compares current ATR to its smoothed average: - ATR Ratio = Current ATR / SMA(ATR, smoothing period) - Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio)) This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response). 【Auto Asset Detection】 The indicator automatically detects the traded instrument and applies optimized parameters: - Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8 - Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3 - Volatile pairs (GBPUSD): Base sensitivity 2.8 - Commodities (GOLD/XAUUSD): Base sensitivity 3.5 - Indices (NASDAQ/NAS100): Base sensitivity 4.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15 minutes or higher (15M, 1H, 4H recommended) - Best performance on: Forex majors, Gold, NASDAQ - Enable "Auto Asset Detection" for optimized parameters 【Entry Rules】 - BUY: Enter long when green BUY label appears - SELL: Enter short when pink SELL label appears 【Session Panel】 The top-right panel displays: - Current trading session (Tokyo/London/NY) - Volatility status (High Chance/Medium Chance/Caution) - Mode (AUTO/MANUAL) 【Alert Setup】 1. Enable "Viewer Alert Display" in settings 2. Set cooldown period (default: 15 minutes) to avoid signal spam 3. Create alert with "Any alert() function call" condition 【Important Notes】 - This indicator does not repaint - signals are confirmed at bar close - Lower timeframes (1M, 5M) may generate excessive signals - Always use proper risk management and confirm with other analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS OVERVIEW 🎯 Alert Settings - Viewer Alert Display: Enable/disable alert labels - Cooldown Function: Prevent rapid consecutive signals - Cooldown Time: Minutes between alerts (5-60) 🔧 Dynamic ATR Settings - Enable Dynamic ATR: Auto-adjust based on volatility - ATR Period: Calculation period (default: 14) - ATR Smoothing: Smoothing period for ratio calculation - Volatility Sensitivity: How much to adjust (0.1-1.0) 🕐 Session ATR Adjustment - Enable Time Adjustment: Session-based sensitivity - Show Session Info: Display session panel 📊 Asset Settings - Auto Asset Detection: Automatically optimize for instrument - Manual settings available when auto-detection is disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Based on the original UT Bot concept by QuantNomad. Enhanced with session-based adaptation and auto-asset detection by EduVest. License: Mozilla Public License 2.0
Pine Script® göstergesi
EduVest_doro tarafından