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BossExoticMAs A next-generation moving average and smoothing library by TheStopLossBoss, featuring premium adaptive, exotic, and DSP-inspired filters — optimized for Pine Script® v6 and designed for Traders who demand precision and beauty. > BossExoticMAs is a complete moving average and signal-processing toolkit built for Pine Script v6. It combines the essential trend filters (SMA, EMA, WMA, etc.) with advanced, high-performance exotic types used by quants, algo designers, and adaptive systems. Each function is precision-tuned for stability, speed, and visual clarity — perfect for building custom baselines, volatility filters, dynamic ribbons, or hybrid signal engines. Includes built-in color gradient theming powered by the exclusive BossGradient — //Key Features ✅ Full Moving Average Set SMA, EMA, ZEMA, WMA, HMA, WWMA, SMMA DEMA, TEMA, T3 (Tillson) ALMA, KAMA, LSMA VMA, VAMA, FRAMA ✅ Signal Filters One-Euro Filter (Crispin/Casiez implementation) ATR-bounded Range Filter ✅ Color Engine lerpColor() safe blending using color.from_gradient Thematic gradient palettes: STOPLOSS, VAPORWAVE, ROYAL FLAME, MATRIX FLOW Exclusive: BOSS GRADIENT ✅ Helper Functions Clamping, normalization, slope detection, tick delta Slope-based dynamic color control via slopeThemeColor() 🧠 Usage Example //@version=6 indicator("Boss Exotic MA Demo", overlay=true) import TheStopLossBoss/BossExoticMAs/1 as boss len = input.int(50, "Length") atype = input.string("T3", "MA Type", options= ) t3factor = input.float(0.7, "T3 β", step=0.05) smoothColor = boss.slopeThemeColor(close, "BOSS GRADIENT", 0.001)ma = boss.maSelect(close, len, atype, t3factor, 0.85, 14) plot(ma, "Boss Exotic MA", color=smoothColor, linewidth=2) --- 🔑 Notes Built exclusively for Pine Script® v6 Library designed for import use — all exports are prefixed cleanly (boss.functionName()) Some functions maintain internal state (var-based). Warnings are safe to ignore — adaptive design choice. Each MA output is non-repainting and mathematically stable. --- 📜 Author TheStopLossBoss Designer of precision trading systems and custom adaptive algorithms. Follow for exclusive releases, educational material, and full-stack trend solutions. movingaverage, trend, adaptive, filter, volatility, smoothing, quant, technicalanalysis, bossgradient, t3, alma, frama, vma
Biblioteka Pine Script®
od TheStopLossBoss
Nqaba Goldminer StrategyThis indicator plots the New York session key timing levels used in institutional intraday models. It automatically marks the 03:00 AM, 10:00 AM, and 2:00 PM (14:00) New York times each day: Vertical lines show exactly when those time windows open — allowing traders to identify major global liquidity shifts between London, New York, and U.S. session overlaps. Horizontal lines mark the opening price of the 5-minute candle that begins at each of those key times, providing precision reference levels for potential reversals, continuation setups, and intraday bias shifts. Users can customize each line’s color, style (solid/dashed/dotted), width, and horizontal-line length. A history toggle lets you display all past occurrences or just today’s key levels for a cleaner chart. These reference levels form the foundation for strategies such as: London Breakout to New York Reversal models Opening Range / Session Open bias confirmation Institutional volume transfer windows (London → NY → Asia) The tool provides a simple visual structure for traders to frame intraday decision-making around recurring institutional time events.
Wskaźnik Pine Script®
od NqabaNhantsi
4
3D Session Clock | Live Time with Sessions [CHE] 3D Session Clock | Live Time with Sessions — Projects a perspective clock face onto the chart to display current time and market session periods for enhanced situational awareness during trading hours. Summary This indicator renders a three-dimensional clock projection directly on the price chart, showing analog hands for hours, minutes, and seconds alongside a digital time readout. It overlays session arcs for major markets like New York, London, Tokyo, and Sydney, highlighting the active one with thicker lines and contrasting labels. By centralizing time and session visibility, it reduces the need to reference external clocks, allowing traders to maintain focus on price action while noting overlaps or transitions that influence volatility. The design uses perspective projection to simulate depth, making the clock appear tilted for better readability on varying chart scales. Sessions are positioned radially outward from the main clock, with the current time marker pulsing on the relevant arc. This setup provides a static yet live-updating view, confirmed on bar close to avoid intrabar shifts. Motivation: Why this design? Traders often miss subtle session shifts amid fast-moving charts, leading to entries during low-liquidity periods or exits before peak activity. Standard chart tools lack integrated time visualization, forcing constant tab-switching. This indicator addresses that by embedding a customizable clock with session rings, ensuring time context is always in view without disrupting workflow. What’s different vs. standard approaches? - Reference baseline: Traditional session highlighters use simple background fills or vertical lines, which clutter the chart and ignore global time zones. - Architecture differences: - Perspective projection rotates and scales points to mimic 3D depth, unlike flat 2D drawings. - Nested radial arcs for sessions, with dynamic radius assignment to avoid overlap. - Live time calculation adjusted for user-selected time zones, including optional daylight savings offset. - Practical effect: The tilted view prevents labels from bunching at chart edges, and active session emphasis draws the eye to liquidity hotspots, making multi-session overlaps immediately apparent for better timing. How it works (technical) The indicator calculates current time in the selected time zone by adjusting the system timestamp with a fixed offset, plus an optional one-hour bump for daylight savings. This yields hour, minute, and second values that drive hand positions: the hour hand advances slowly with fractional minute input, the minute hand ticks per 60 seconds, and the second hand sweeps fully each minute. Points for the clock face and arcs are generated as arrays of coordinates, transformed via rotation around the x-axis to apply tilt, then projected onto chart space using a scaling factor based on depth. Radial lines mark every hour from zero to 23, extending to the outermost session ring. Session arcs span user-defined hour ranges, drawn as open polylines with step interpolation for smoothness. On the last bar, all prior drawings are cleared, and new elements are added: filled clock circles, hand lines from center to tip, a small orbiting circle at the current time position, and centered labels for hours, sessions, and time. The active session is identified by checking if the current time falls within its range, then its arc thickens and label inverts colors. Initialization populates a timezone array once, with persistent bar time tracking for horizontal positioning. Parameter Guide Clock Size — Controls overall radius in pixels, affecting visibility on dense charts — Default: 200 — Larger values suit wide screens but may crowd small views; start smaller for mobile. Camera Angle — Sets tilt from top-down (zero) to side (90 degrees), altering projection depth — Default: 45 — Steeper angles enhance readability on sloped trends but flatten at extremes. Resolution — Defines polygon sides for circles and arcs, balancing smoothness and draw calls — Default: 64 — Higher improves curves on large clocks; lower aids performance on slow devices. Hour/Minute/Second Hand Length — Scales each hand from center, with seconds longest for precision — Defaults: 100/150/180 — Proportional sizing prevents overlap; shorten for compact layouts. Clock Base Color — Tints face and frame — Default: blue — Neutral shades reduce eye strain; match chart theme. Hand Colors — Assigns distinct hues to each hand — Defaults: red/green/yellow — High contrast aids quick scans; avoid chart-matching to stand out. Hour Label Size — Text scale for 1-12 markers — Default: normal — Larger for distant views, but risks clutter. Digital Time Size — Scale for HH:MM:SS readout — Default: large — Matches clock for balance; tiny for minimalism. Digital Time Vertical Offset — Shifts readout up (negative) or down — Default: -50 — Positions above clock to avoid hand interference. Timezone — Selects reference city/offset — Default: New York (UTC-05) — Matches trading locale; verify offsets manually. Summer Time (DST) — Adds one hour if active — Default: false — Enable for regions observing it; test transitions. Show/Label/Session/Color for Each Market — Toggles arc, sets name, time window, and hue per session (New York/London/Tokyo/Sydney) — Defaults: true/"New York"/1300-2200/orange, etc. — Customize windows to local exchange hours; colors differentiate overlaps. Reading & Interpretation The analog face shows a blue-tinted circle with white 1-12 labels and gray hour ticks; hands extend from center in assigned colors, pointing to current positions. A white dot with orbiting ring marks exact time on the session arc. Digital readout below displays padded HH:MM:SS in white on black. Active sessions glow with bold arcs and white labels on colored backgrounds; inactive ones use thin lines and colored text on light fills. Overlaps stack outward, with the innermost (New York) closest to the clock. If no session is active, the marker sits on the base ring. Practical Workflows & Combinations - Trend following: Enter longs during London-New York overlap (thicker dual arcs) confirmed by higher highs; filter with volume spikes. - Exits/Stops: Tighten stops pre-Tokyo open if arc thickens, signaling volatility ramp; trail during Sydney for overnight holds. - Multi-asset/Multi-TF: Defaults work across forex/stocks; on higher timeframes, enlarge clock size to counter bar spacing. Pair with session volume oscillators for confirmation. Behavior, Constraints & Performance Rendering occurs only on the last bar, using confirmed history for stable display; live bars update hands and marker without repainting prior elements. No security calls or higher timeframe fetches, so no lookahead bias. Resource limits include 2000 bars back for positioning, 500 each for lines, labels, and boxes—sufficient for full sessions without overflow. Arrays hold timezone data statically. On very wide charts, projection may skew slightly due to fixed scale. Known limits: Visual positioning drifts on extreme zooms; daylight savings assumes manual toggle, risking one-hour errors during changes. Sensible Defaults & Quick Tuning Start with New York timezone, 45-degree tilt, and all sessions enabled—these balance global coverage without clutter. For too-small visibility, bump clock size to 300 and resolution to 48. If labels overlap on narrow views, reduce hand lengths proportionally. To emphasize one session (e.g., London), disable others and widen its color contrast. For minimalism, set digital size to small and offset to -100. What this indicator is—and isn’t This is a visual time and session overlay to contextualize trading windows, not a signal generator or predictive tool. It complements price analysis and risk rules but requires manual interpretation. Use alongside order flow or momentum indicators for decisions. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino Acknowledgments This indicator draws inspiration from the open-source contributions of the TradingView community, whose advanced programming techniques have greatly influenced its development. Special thanks to LonesomeTheBlue for the innovative polyline handling and midpoint centering techniques in RSI Radar Multi Time Frame: Gratitude also extends to LuxAlgo for the precise timezone calculations in Sessions: Finally, appreciation to TradingView for their comprehensive documentation on polyline features, including the support article at www.tradingview.com and the blog post at www.tradingview.com These resources were instrumental in implementing smooth, dynamic drawings.
Wskaźnik Pine Script®
od chervolino
Fakeout Kavach by Pooja v10📘 Description – Fakeout Kavach by Pooja Fakeout Kavach by Pooja is a precision-built technical analysis tool designed for structured momentum and divergence evaluation within the RSI pane. It helps visualize potential exhaustion zones using RSI divergence, ADX trend confirmation, and an integrated VAD (Volume + ATR + Delta) module — ensuring clarity and confirmation-based plotting. ⚙️ Core Functional Modules 1️⃣ RSI & Moving Average Module Adaptive RSI with real-time color gradients Optional RSI moving average (yellow) for momentum tracking Dynamic fill zones showing overbought / oversold areas Background fill for quick zone visualization 2️⃣ RSI Divergence Detection (Bull / Bear) Auto-detects pivot-based bullish and bearish divergences Non-repainting logic confirmed post-pivot formation Smart line management with automatic cleanup Visual divergence lines and clear on-chart markers 3️⃣ ADX Trend Confirmation Adjustable comparison: “Higher than N bars ago” or “Higher than highest of last N” Confirms directional strength before SB / SS signals are displayed 4️⃣ SB / SS Signal Module “Signal Bull / Signal Sell” markers confirmed post candle closure Integrated session-block feature to exclude specific intraday periods Non-repainting, bar-confirmed signal plotting 5️⃣ VAD (Volume + ATR + Delta) Divergence Engine Highlights hidden momentum shifts via volatility + volume flow logic Bullish (B-DV) / Bearish (S-DV) divergence markers plotted at pivot bars Customizable label or symbol-style visualization 🧩 Built-in Features Non-repainting structure using barstate confirmation Optimized for all timeframes and chart types Lightweight execution with flexible styling options Modular input control for easy customization ⚠️ Disclaimer This indicator is for technical analysis and educational purposes only. It does not provide financial advice, does not predict price direction, and does not guarantee profits or performance. All trading decisions are the sole responsibility of the user. Always test thoroughly before applying to live markets.
Wskaźnik Pine Script®
od financegurupooja
Percentile Rank Oscillator (Price + VWMA)A statistical oscillator designed to identify potential market turning points using percentile-based price analytics and volume-weighted confirmation. What is PRO? Percentile Rank Oscillator measures how extreme current price behavior is relative to its own recent history. It calculates a rolling percentile rank of price midpoints and VWMA deviation (volume-weighted price drift). When price reaches historically rare levels – high or low percentiles – it may signal exhaustion and potential reversal conditions. How it works Takes midpoint of each candle ((H+L)/2) Ranks the current value vs previous N bars using rolling percentile rank Maps percentile to a normalized oscillator scale (-1..+1 or 0–100) Optionally evaluates VWMA deviation percentile for volume-confirmed signals Highlights extreme conditions and confluence zones Why percentile rank? Median-based percentiles ignore outliers and read the market statistically – not by fixed thresholds. Instead of guessing “overbought/oversold” values, the indicator adapts to current volatility and structure. Key features Rolling percentile rank of price action Optional VWMA-based percentile confirmation Adaptive, noise-robust structure User-selectable thresholds (default 95/5) Confluence highlighting for price + VWMA extremes Optional smoothing (RMA) Visual extreme zone fills for rapid signal recognition How to use High percentile values –> statistically extreme upward deviation (potential top) Low percentile values –> statistically extreme downward deviation (potential bottom) Price + VWMA confluence strengthens reversal context Best used as part of a broader trading framework (market structure, order flow, etc.) Tip: Look for percentile spikes at key HTF levels, after extended moves, or where liquidity sweeps occur. Strong moves into rare percentile territory may precede mean reversion. Suggested settings Default length: 100 bars Thresholds: 95 / 5 Smoothing: 1–3 (optional) Important note This tool does not predict direction or guarantee outcomes. It provides statistical context for price extremes to help traders frame probability and timing. Always combine with sound risk management and other tools.
Wskaźnik Pine Script®
od exploretranspose
Lightning Osc • PreVersion The Lightning Osc • PreVersion is where the MahaTrend vision began — the first oscillator designed to visualize the pulse of the market itself. It reveals how momentum expands, cools down, and reverses through natural rhythm, allowing you to see balance and exhaustion with clarity and precision. This is the original core from which every Lightning indicator later evolved — simple, focused, and deeply intuitive. 🧭 Purpose The indicator highlights overbought and oversold rhythm zones, helping traders recognize when the market may have reached its energetic limits. Rather than generating signals, it visualizes the transitions of energy — the quiet shift that often happens before price movement changes direction. 💡 Core Logic When the curve moves above +67.65, the market enters an overbought zone. The most informative moment is the break below and retest of that boundary — it often reflects fading upward strength and possible correction. When the curve dips below −67.65, the market enters an oversold zone. A break above and retest of this area may show that selling pressure is exhausted and the market is ready for relief or reversal. These levels do not dictate trades — they show rhythm so you can understand when momentum begins to breathe again. ⏱ Recommended Timeframes Optimized for 1-minute to 1-hour charts, the Lightning Osc • PreVersion is most expressive on lower timeframes where short-term volatility and energy flow are clearly visible. 🧩 How to Use Add the indicator to a separate pane below your chart. Choose the calculation timeframe (default: current chart TF). Observe the curve: Above +67.65 → Overbought zone Below −67.65 → Oversold zone ±4.6 → Micro-pulse equilibrium Focus on break & retest behavior near key zones — these moments often reveal changing market rhythm. Always confirm with your broader context and personal strategy. 🌩 Philosophy This PreVersion marks the beginning of the Lightning language — a balance between structure and flow, between overextension and calm restoration. It embodies the MahaTrend idea that the market is not chaos, but an energy field breathing in and out through rhythm. Disclaimer: For educational and analytical use only. This indicator does not provide financial advice or guaranteed results. Always combine it with your own analysis and risk management. — by MahaTrend
Wskaźnik Pine Script®
od MahaTrend
1
量价策略信号+K线pinbar+波动率出场+市场结构【梦喂马】v3Part 1: Indicator Module Explained (Code Analysis and Function Description) Module 1: Master Switches This is your "dashboard master control." Due to the numerous indicator functions, charts can appear cluttered. Here, you can easily turn each major function module on or off, allowing you to focus on the information you need most. - Suggested Usage: When using it for the first time, you can start by only turning on the Vegas Channel and Core Entry Signals to familiarize yourself with the system's main trend judgment and entry logic. Then gradually turn on other modules to experience how they work together. Module 2: Core Entry Signals (Long/Short Signals) This is the "engine" of the entire system, responsible for generating the highest quality trend-following trading signals. The appearance of a "long" or "short" signal represents the resonance of multiple indicators, satisfying extremely stringent filtering conditions: - 1. Vegas Channel Filtering: - When going long, the price must be above the slow channel (576/676 EMA) and the fast channel (21/55 EMA). - When shorting, the price must break below both the slow and fast channels. - Interpretation: This ensures your trading direction is perfectly aligned with the medium- to long-term macro trend. - 2. Alligator Line Confirmation: - When going long, the price must be above the alligator lines (lips, teeth, jaws), and the alligator lines must be in a bullish alignment (opening upwards). - When shorting, the opposite applies. - Interpretation: This confirms that short-term momentum aligns with the long-term trend, avoiding hasty entry at the start or end of a trend. - 3. OBV (On-Balance Volume) Filter: - When going long, the OBV value must be above its own moving average (default 34 periods). - When shorting, the OBV value must be below its moving average. - Interpretation: OBV is a key indicator measuring fund inflows and outflows. This condition ensures that trading volume (funds) is supporting your trading direction. - 4. ADX Trend Strength Filter: - Whether going long or short, the ADX value must be greater than the set threshold (default 20). - Interpretation: This is a crucial "insurance" layer. It helps filter out volatile market conditions with no clear direction, prone to repeated "misjudgments." We only act in markets with clear and strong trends. Core Usage: Once a "long"/"short" signal appears, it represents a high-certainty trend-following trading opportunity. Due to the very strict nature of the signals, they appear infrequently, but each one deserves your close attention. Module Three: Vegas Channel & Alligator Line (Trend Judgment Tool) - Vegas Channel: Composed of two sets of EMAs. - Slow Channel (576/676): Your "bull/bear dividing line." Above this line, only consider going long; below this line, only consider going short. It is your strategic compass. - Fast Channel (21/55): Your "short-term momentum line." In an uptrend, price pullbacks to the vicinity of the fast channel are potential areas for adding to positions or entering. - Alligator Line: - Widening divergence: Indicates that a trend is underway. - Convergence/Entanglement: Indicates the market is dormant or consolidating. - Interpretation: Alligator lines allow you to visually see whether the market is in a "trending" or "consolidating" state. We primarily trade when the alligator lines widen. Module Four: R/C Volume-Price Signals (Refined Entry/Warning Signals) This is the system's "special forces," specifically designed to identify abnormal volume and price movements on key candlesticks. It is divided into the R series (Reversal) and the C series (Continuation). - Prerequisites: All signals are based on trading volume. A signal's appearance must be accompanied by a significantly higher-than-average trading volume (increased volume). This indicates large capital participation at that price level, making the signal more reliable. - R Series - Trend Reversal Signals (Warning/Opportunity): - R1 (Core Reversal): In a downtrend, a sudden increase in volume on a bullish candlestick; or in an uptrend, an increase in volume on a bearish candlestick. - Interpretation: This is the most basic reversal warning signal. It tells you that counter-trend forces are emerging, but it doesn't mean the trend will immediately reverse. Confirmation needs to be combined with other signals. - R2 (Pattern Confirmation): In addition to R1, this candlestick must also be a well-defined Pin Bar (a bullish Pin Bar with a long lower shadow, or a bearish Pin Bar with a long upper shadow). - Interpretation: This is a more reliable reversal signal. The Pin Bar pattern represents a strong rejection of the price after an attempt to break through; combined with increased volume, this indicates strong reversal momentum. - R3 (Top Momentum): In addition to R2, the trading volume reaches a "massive" level (default is more than 4 times the average volume). - Interpretation: This is the highest level reversal signal. It usually appears at the end of a trend, representing the extreme struggle and conversion of bullish and bearish forces, and is a potential sign of a "V-shaped reversal" or a deep V-bottom/top. - C Series - Trend Continuation/Termination Signals: - C0 (Trend Continuation): In a clear uptrend, a bearish Pin Bar (long upper shadow) with increased volume appears during a price pullback; or in a downtrend, a bullish Pin Bar (long lower shadow) with increased volume appears during a rebound. - Interpretation: This is a classic "buy on pullback/sell on rebound" signal. It indicates that the pullback/rebound attempt to counterattack is quickly suppressed by the strong main trend, making it an excellent entry point for adding to positions or following the trend. - CX (Exhaustion Signal): A C-series signal that appears when the price has moved far away from the slow Vegas Channel (default more than 5 times the ATR distance). - Interpretation: This is an advanced use of the C-series. After a trend has run for a long time, market sentiment may be overly enthusiastic. The high-volume PinBar appearing at this time, while trend-following in form, is more likely to represent the exhaustion or "final frenzy" of the trend. This is an alert that the trend may be running out of momentum, and you should consider taking profits in batches rather than adding to your position. Signal Priority: This indicator has been internally optimized: CX/R3 > R2 > C0 > R1. Higher-level signals will override lower-level signals, ensuring you see the most important information at the moment. Module 5: Chandelier Exit - Dynamic Risk Management This is a dynamic stop-loss system based on ATR (Average True Range). - How it works: - In an uptrend, it subtracts N times the ATR from the recent high, forming a stepped upward stop-loss line. - In a downtrend, it adds N times the ATR from the recent low, forming a stepped downward stop-loss line. - Core advantages: It automatically adjusts the stop-loss distance based on market volatility. During periods of high market volatility, the stop-loss widens, giving you more room; during periods of market stability, the stop-loss tightens, locking in profits more quickly. - Usage: - As an initial stop-loss: After entering a position, the stop-loss can be set outside the Chandelier line. - As a trailing stop: The position is held as long as the price does not fall below (uptrend) or rise above (downtrend) the Chandelier line. This is a powerful tool for "letting profits run." - As an auxiliary trend indicator: The direction of the chandelier line (upward/downward) also provides a concise short-term trend perspective. Module Six: Candlestick Coloring This feature is very intuitive; it colors candlesticks based on volume: - High Volume (Orange): Volume exceeds twice the average volume. - Huge Volume (Red): Volume exceeds four times the average volume. - Usage: Helps you identify key candlesticks indicating significant market events at a glance, typically the start, acceleration, reversal, or exhaustion points of a trend. Module Seven: ICT Market Structure This is an advanced price behavior analysis tool based on ICT (Inner Circle Trader) theory, helping you understand the market's "skeleton." - Core Concepts: - Swing High/Low: Local tops and bottoms in market prices. - BOS (Break of Structure): In an uptrend, the price creates a higher high than the previous swing high; in a downtrend, it creates a lower low. - Interpretation: BOS (Bullish Oscillator) is a confirmation signal of trend continuation. Consecutive upward BOS indicate a healthy bullish trend, and vice versa. - MSS (Market Structure Shift, also often called CHOCH): In an uptrend, the price fails to make a new high and instead falls below the previous valid swing low. - Interpretation: MSS is the first and most important signal of a potential trend reversal. It indicates that market forces are shifting from bullish to bearish (or vice versa). - Period Settings (Short/Intermediate/Long Term): - Short Term: Based on the most minute 3-bar swing points, very sensitive, suitable for short-term traders to observe subtle changes. - Intermediate Term (Recommended): Based on higher-level swing points formed from short-term swing points, filtering out some noise, suitable for day and swing traders. - Long Term: Based on swing points formed from intermediate-term swing points, reflecting a longer-term structure, suitable for swing and long-term traders. - Usage: Combine market structure with your trading signals. For example, in an uptrend (price above the Vegas Channel), each upward BOS confirms the health of the trend. If a C0 pullback signal appears at this point, it would be an excellent entry point. Conversely, if an MSS appears, even with a strong buy signal, caution is advised, as the trend may be reversing. Module Eight: Information Panel This is your "cockpit dashboard," consolidating all key information in one place, giving you a clear overview of the current market state: - Main Trend Direction: The final trend judgment given by multiple indicators. - Alligator Line Pattern: Shows whether the current trend is trending or consolidating. - OBV Status: Whether funds are flowing in or out. - ADX Status: Whether the trend is strong or weak. - Chandelier Stop-Loss Direction: Short-term trend direction.
Wskaźnik Pine Script®
od Markchen1998
Brahmastra with SMC by PoojaSummary This indicator provides a structured trend-and-momentum workflow that issues Partial and Confirmed trade signals using a combination of trend filters, momentum confirmation, and structure breaks. It helps traders identify higher-probability trade locations through multi-timeframe confirmation and automatic alert payloads — while keeping the underlying signal logic private (invite-only). Core Components (high level overview — no source code revealed) • Trend Filters: EMA (configurable length), VWAP, and Supertrend are used to define overall trend direction and to gate signals. • Momentum: RSI (configurable length and upper/lower thresholds) helps confirm momentum and optional divergence blocking. • Market Structure: BOS / CHoCH (Break of Structure / Change of Character) logic with MTF pivots to detect structure-based opportunities. • Signal Types: Partial signals appear early as potential setups; Confirmed signals meet stricter multi-factor conditions (EMA/VWAP/Supertrend + RSI + optional MTF). • Repaint Safety: Non-repaint mode available (triggers only after candle close). • Alerts: Built-in alert messages with optional JSON webhook format. • Customization: Flexible inputs for sessions, pivots, labels, colors, lookbacks, and MTF parameters to adapt across multiple timeframes. How to Interpret Signals • Treat Partial signals as setups to monitor — not instant entries. Wait for confirmation or confluence from price behavior. • Treat Confirmed signals as higher-probability opportunities that satisfy trend and momentum alignment. • Enable MTF confirmation selectively on smaller timeframes (e.g., 5m using 15m/1H confirmation). • Use Non-repaint mode (trigger only after candle close) for safe alert generation. Limitations & Risk Notice This indicator does not guarantee profits or accuracy. It is a technical and educational tool meant to assist analysis. All trading decisions, entries, and exits are the sole responsibility of the user. Always perform backtesting and paper trading before live use. This is not financial advice. Version Note & Support This is a closed invite-only script. The indicator includes configuration options for labels, alerts, and MTF pivots. For approved users seeking modifications or usage details, please contact the author (see Author’s Instructions section).
Wskaźnik Pine Script®
od financegurupooja
Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing. What is “seasonality” in markets? Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol. Why seasonality matters It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups. It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly. It improves execution: entering during historically favorable windows, avoiding historically noisy windows. It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves. How traders use seasonality in practice Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering. Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk. Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL. Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you. Why Day-of-Week (DOW) can be especially helpful Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal. Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage. DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced. What this indicator does Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month . Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average). Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level. Sample guards : Enforce a minimum sample size so thin data doesn’t mislead. Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation. Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag. How it’s calculated (under the hood) Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window. Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month). For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval . Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size). How to read the heatmap Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower. Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays). Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability. n = sample size : More samples = more reliability. Treat small-n bins with skepticism. Suggested workflows Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width. Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing. Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage. Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries. Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects. Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.” Parameter guidance Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects. Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window. Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins. Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small. Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding. Interpreting common patterns Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation. Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly. High-volume bins : Better expected execution quality; schedule size here if slippage matters. Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates. Best practices Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates). Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window. Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger. Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1. Limitations & notes History-dependent: short histories or sparse intraday data reduce reliability. Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias. Aggregation bias: changing session hours or symbol migrations can distort older samples. CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing. Quick setup Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge. Flip to Hour of Day on intraday charts to schedule precise entries/exits. Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual. The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Wskaźnik Pine Script®
od BackQuant
Custom Fibonacci Support & Resistance LinesCustom Fibonacci Support & Resistance Lines automatically plots dynamic 0.618-style Fibonacci levels based on recent swing highs and lows. The script detects the latest confirmed swing high and swing low on the chart and calculates two adaptive lines: A Fibonacci Support Line below price (retracement from swing high to swing low). A Fibonacci Resistance Line above price (retracement from swing low to swing high). Both levels are smoothed using a simple moving average for a cleaner visual appearance — similar to an adaptive support/resistance band that follows recent market structure. ⚙️ Features 🔹 Auto-detects swing highs & lows using left/right bar pivots. 🔹 Adjustable Fibonacci levels for both Support and Resistance. 🔹 Adjustable smoothing length for smoother or more reactive lines. 🔹 Works across any timeframe and instrument. 🔹 Ideal for spotting potential reversal zones, trend continuation areas, and dynamic price support/resistance. 🧮 Default Settings Fibonacci Level (Support) = 0.618 Fibonacci Level (Resistance) = 0.618 Left/Right Swing Bars = 5 / 5 Smoothing Length = 3 💡 Usage Tips Combine these dynamic Fibonacci lines with trend indicators (EMA, RSI, or structure breaks) to confirm entries. Increase Left/Right Swing Bars for stronger structural pivots on higher timeframes. Change Fibonacci Levels (e.g., 0.382, 0.5, 0.786) to visualize multiple retracement zones.
Wskaźnik Pine Script®
od ChartTechnical
SigmaRevert: Z-Score Adaptive Mean Reversion [KedArc Quant]🔍 Overview SigmaRevert is a clean, research-driven mean-reversion framework built on Z-Score deviation — a statistical measure of how far the current price diverges from its dynamic mean. When price stretches too far from equilibrium (the mean), SigmaRevert identifies the statistical “sigma distance” and seeks reversion trades back toward it. Designed primarily for 5-minute intraday use, SigmaRevert automatically adapts to volatility via ATR-based scaling, optional higher-timeframe trend filters, and cooldown logic for controlled frequency 🧠 What “Sigma” Means Here In statistics, σ (sigma) represents standard deviation, the measure of dispersion or variability. SigmaRevert uses this concept directly: Each bar’s price deviation from the mean is expressed as a Z-Score — the number of sigmas away from the mean. When Z > 1.5, the price is statistically “over-extended”; when it returns toward 0, it reverts to the mean. In short: Sigma = Standard deviation distance SigmaRevert = Trading the reversion of extreme sigma deviations 💡 Why Traders Use SigmaRevert Quant-based clarity: removes emotion by relying on statistical extremes. Volatility-adaptive: automatically adjusts to changing market noise. Low drawdown: filters avoid over-exposure during strong trends. Multi-market ready: works across stocks, indices, and crypto with parameter tuning. Modular design: every component can be toggled without breaking the core logic. 🧩 Why This Is NOT a Mash-Up Unlike “mash-up” scripts that randomly combine indicators, this strategy is built around one cohesive hypothesis: “Price deviations from a statistically stable mean (Z-Score) tend to revert.” Every module — ATR scaling, cooldown, HTF trend gating, exits — reinforces that single hypothesis rather than mixing unrelated systems (like RSI + MACD + EMA). The structure is minimal yet expandable, maintaining research integrity and transparency. ⚙️ Input Configuration (Simplified Table) Core `maLen` 120 Lookback for mean (SMA) `zLen` 60 Window for Z-score deviation `zEntry` 1.5 Entry when Z exceeds threshold `zExit` 0.3 Exit when Z normalizes Filters (optional) `useReCross` false Requires re-entry confirmation `useTrend` false / true Enables HTF SMA bias `htfTF` “60” HTF timeframe (e.g. 60-min) `useATRDist` false Demands min distance from mean `atrK` 1.0 ATR distance multiplier `useCooldown` false / true Forces rest after exit Risk `useATRSL` false / true Adaptive stop-loss via ATR `atrLen` 14 ATR lookback `atrX` 1.4 ATR multiplier for stop Session `useSession` false Restrict to market hours `sess` “0915-1530” NSE timing `skipOpenBars` 0–3 Avoid early volatility UI `showBands` true Displays ±1σ & ±2σ `showMarks` true Shows triggers and exits 🎯 Entry & Exit Logic Long Entry Trigger: `Z < -zEntry` Optional re-cross: prior Z < −zEntry, current Z −zEntry Optional trend bias: current close above HTF SMA Optional ATR filter: distance from mean ATR × K Short Entry Trigger: `Z +zEntry` Optional re-cross: prior Z +zEntry, current Z < +zEntry Optional trend bias: current close below HTF SMA Optional ATR filter: distance from mean ATR × K Exit Conditions Primary exit: `Z < zExit` (price normalized) Time stop: `bars since entry timeStop` Optional ATR stop-loss: ±ATR × multiplier Optional cooldown: no new trade for X bars after exit 🕒 When to Use Intraday (5m) `maLen=120`, `zEntry=1.5`, `zExit=0.3`, `useTrend=false`, `cooldownBars=6` Capture intraday oscillations Minutes → hours Swing (30m–1H) `maLen=200`, `zEntry=1.8`, `zExit=0.4`, `useTrend=true`, `htfTF="D"` Mean-reversion between daily pivots 1–2 days Positional (4H–1D) `maLen=300`, `zEntry=2.0`, `zExit=0.5`, `useTrend=true` Capture multi-day mean reversions Days → weeks 📘 Glossary Z-Score Statistical measure of how far current price deviates from its mean, normalized by standard deviation. Mean Reversion The tendency of price to return to its average after temporary divergence. ATR Average True Range — measures volatility and defines adaptive stop distances. Re-Cross Secondary signal confirming reversal after an extreme. HTF Higher Timeframe — provides macro trend bias (e.g. 1-hour or daily). Cooldown Minimum bars to wait before re-entering after a trade closes. ❓ FAQ Q1: Why are there no trades sometimes? ➡ Check that all filters are off. If still no trades, Z-scores might not breach the thresholds. Lower `zEntry` (1.2–1.4) to increase frequency. Q2: Why does it sometimes fade breakouts? ➡ Mean reversion assumes overextension — disable it during strong trending days or use the HTF filter. Q3: Can I use this for Forex or Crypto? ➡ Yes — but adjust session filters (`useSession=false`) and increase `maLen` for smoother means. Q4: Why is profit factor so high but small overall gain? ➡ Because this script focuses on capital efficiency — low drawdown and steady scaling. Increase position size once stable. Q5: Can I automate this on broker integration? ➡ Yes — the strategy uses standard `strategy.entry` and `strategy.exit` calls, compatible with TradingView webhooks. 🧭 How It Helps Traders This strategy gives: Discipline: no impulsive trades — strict statistical rules. Consistency: removes emotional bias; same logic applies every bar. Scalability: works across instruments and timeframes. Transparency: all signals are derived from visible Z-Score math. It’s ideal for quant-inclined discretionary traders who want rule-based entries but maintain human judgment for context (earnings days, macro news, etc.). 🧱 Final Notes Best used on liquid stocks with continuous price movement. Avoid illiquid or gap-heavy tickers. Validate parameters per instrument — Z behavior differs between equities and indices. Remember: Mean reversion works best in range-bound volatility, not during explosive breakouts. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Strategia Pine Script®
od kedarcquant
6
Adaptive Trend Kernel📘 Adaptive Trend Kernel — Smoothed Regression Trend with Dynamic Bands The Adaptive Trend Kernel is a regression-based trend indicator that dynamically adapts to market volatility. It combines linear regression with standard deviation bands to identify directional bias, momentum shifts, and potential entry zones with high precision. This tool helps traders visualize the underlying trend and filter out market noise by plotting a smooth regression line (the "kernel") surrounded by upper and lower deviation bands. The indicator also provides crossover-based buy and sell signals when price crosses above or below the adaptive regression line. 🔍 How It Works Regression Line: A linear regression line smooths the closing price to represent the dominant market direction. Volatility Bands: The upper and lower bands (based on standard deviation) expand or contract according to market volatility. Signal Triggers: • Long Signal (Green Triangle): When price crosses above the regression line. • Short Signal (Red Triangle): When price crosses below the regression line. Trend Labels: Optional “Up” and “Down” labels appear on crossover points for better visual clarity. 💡 Trading Strategy Trend Following: Enter long when a green “Up” signal appears, confirming an upward crossover. Exit when the price touches the upper band or when a red “Down” signal appears. Reversal Catching: In ranging markets, watch for quick crossovers near the bands — these often precede short-term pullbacks. Volatility Filter: When the bands widen, volatility is high — consider using smaller position sizes or waiting for confirmation. Narrowing bands often indicate consolidation and upcoming breakout potential. ⚙️ Features Adjustable Regression Length and Band Multiplier Customizable colors, transparency, and label visibility Lightweight and repaint-free by design Works well on all timeframes and asset classes (Forex, Crypto, Stocks, Gold) 🧭 Recommended Use Use this indicator as a trend confirmation tool or entry filter in combination with momentum or volume indicators. Best results occur when aligned with higher timeframe trend direction.
Wskaźnik Pine Script®
od wjdtks255
1
Trading Checklist CustomizableThis Strategy Checklist is a simple but powerful tool designed to help traders follow a structured confirmation process before entering trades. It provides a customizable checklist of confluences that can be edited directly in the settings — ensuring consistency, discipline, and clarity in your trading plan. This script doesn’t generate signals automatically; instead, it serves as a trader’s personal decision framework. Perfect for ICT-style, price action, or smart money traders who rely on multi-factor confirmations like liquidity sweeps, PD Arrays, and SMTs. Where it says Conf1 it is customizable to fit your own confluences/entry.
Wskaźnik Pine Script®
od brysonpramag3
Volume Spike | viResearchVolume Spike | viResearch Conceptual Foundation and Innovation The Volume Spike indicator by viResearch is designed to identify the underlying strength and health of market participation by analyzing volume behavior. Rather than simply detecting high or low volume, this indicator distinguishes between healthy, gradual accumulation and unsustainable volume surges, giving traders a nuanced understanding of market sentiment. The indicator focuses on the relationship between current trading volume and its moving average, classifying market activity into several key regimes — gradual, consistent, spiking, or weakening. This allows traders to quickly assess whether a price move is supported by solid participation or driven by temporary excitement that may not last. Core Concept and Analysis Approach At its core, Volume Spike measures the quality and consistency of trading activity over time. When volume rises steadily and remains within a stable range, it reflects healthy participation and sustainable trends. In contrast, when volume suddenly surges several times above average, it may indicate a climax move, often preceding a short-term top or bottom. The indicator also incorporates consistency and trend assessments to evaluate whether current volume conditions align with accumulation, distribution, or exhaustion phases — helping traders interpret why a move is happening, not just that it is. Features and User Inputs The Volume Spike script includes several key parameters that allow traders to tailor its behavior to different assets and timeframes: Volume Average Length: Defines the lookback period for calculating the average volume baseline. Spike Multiplier: Sets the threshold (in multiples of the average) to define a true “spike” in volume. Gradual Max Multiplier: Determines the upper limit of what is considered healthy, gradual volume growth. Consistency Check Period: Evaluates how stable or erratic recent volume behavior has been. Volume MA & EMA Display: Optional overlays for visual comparison against current activity. These settings allow traders to distinguish between normal volume growth during trend formation and excessive spikes that often signal exhaustion or reversal risk. Market Interpretation and Use Cases The Volume Spike indicator provides valuable insights into market conditions, particularly during strong price movements or breakout phases. It can be used to: Identify Healthy Trend Participation: Gradually rising volume within consistent ranges confirms genuine trend momentum. Detect Volume Climax Events: Sudden spikes far above the average often mark exhaustion points, signaling caution. Spot Divergences: When price rises but volume weakens, it can indicate a fading rally or distribution phase. Evaluate Accumulation vs. Distribution: Volume patterns during down moves reveal whether smart money is buying weakness or selling strength. Visual Cues and Color Logic The indicator uses intuitive color coding to make volume interpretation straightforward: Aqua (Healthy Gradual Volume): Stable, sustainable participation supporting trend continuation. Pink (Volume Spike): Sharp, excessive surge — a warning of possible exhaustion or reversal. Yellow (Elevated Volume): Moderate increase, often during breakout confirmation. Gray (Low Volume): Reduced participation, signaling potential indecision. Background highlights and on-chart alerts visually reinforce these signals: Green background: Healthy, consistent volume environment. Pink background: Warning of sudden volume spikes. Orange background: Price-volume divergence, signaling weakening conviction. Strategic Insights and Warnings A gradual rise in volume typically validates trend strength, while sharp spikes can serve as early warnings of potential exhaustion. Repeated volume spikes near resistance levels may indicate distribution, whereas spikes near lows often suggest capitulation. Monitoring how volume evolves — not just its magnitude — helps traders stay aligned with smart money flow. Information Table and Alerts A real-time dashboard displays key statistics such as current volume, relative multiple of average, consistency level, and pattern type. Built-in alerts notify traders of critical situations, including: Volume Spike on Up Candle — potential short-term top or euphoria. Volume Spike on Down Candle — possible bottom or panic-driven selling. Summary and Practical Use The Volume Spike | viResearch indicator provides traders with a deeper understanding of volume dynamics, highlighting when market activity supports a move and when it signals exhaustion. By combining volume consistency, relative strength, and pattern recognition, it transforms raw volume data into actionable insights. Use it to confirm breakout quality, detect unsustainable rallies, or identify accumulation zones before reversals occur. Sustainable trends are built on consistent participation — Volume Spike helps you see when that conviction begins to fade or surge beyond control. Trading example: Spike volume + Oversold Commodity Index For Loop | viResearch Note: Historical readings are for analytical purposes only and do not guarantee future performance.
Wskaźnik Pine Script®
od viResearch
1
RKT_(CVD + Δ Vol) DESCRIPTION The Volume & Volume Delta (CVD) indicator tracks buy–sell imbalance to gauge money flow strength. Delta is calculated from aggressive (market) volume and accumulated into CVD to identify directional flow. Suitable for crypto/futures/forex, intraday and swing trading. HOW TO USE When Delta > 0 and CVD makes higher highs → favor the uptrend; when Delta < 0 and CVD makes lower lows → favor the downtrend. Divergence between price and CVD suggests potential reversals or pullbacks. Recommend confirming with price structure/MA/volume before acting.
Wskaźnik Pine Script®
od Petertien