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Bollinger Bands (BB)

ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Penunjuk Pine Script®
oleh BOSWaves
15
Bollinger Bands Forecast with Signals (Zeiierman)█ Overview Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior. The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks. █ How It Works ⚪ Bollinger Core The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier: Basis = SMA(Source, Length) Band width = Multiplier × StDev(Source, Length) Upper/Lower = Basis ± Width This remains the “live” (non-forecast) structure on the chart. ⚪ Trend & Volatility Slope Estimation To project forward, the indicator measures directional drift and volatility drift using linear regression differences: Basis slope from the Bollinger basis StDev slope from the Bollinger deviation ATR slope for ATR-based projection mode These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime. ⚪ Projection Engine (Forecast Bands) At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be: Trend (straight linear projection) Curved (ease-in/out transition toward projected endpoints) Smoothed (extra smoothing on projected basis/width) ⚪ Price Path Projection + Optional Random Walk In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings. Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”). Decay gradually reduces swing size as the forecast deepens. The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation. ⚪ Rejection Signals Signals are based on failed attempts to break a band: Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis. Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis. █ How to Use ⚪ Forward Support/Resistance Corridors Treat the projected upper/lower bands as a future volatility envelope, not a guarantee: The upper projection ≈ is likely a resistance level if the regime persists The lower projection ≈ is likely a support level if the regime persists Best used for trade planning, targets, and “where price could travel” under similar conditions. ⚪ Regime Read: Trend + Volatility The projection shape is informative: Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution) Flat basis + compressing width → contraction regime (often precedes expansion) ⚪ Signals for Mean-Reversion / Failed Breakouts The rejection markers are useful for fade-style setups: A Down signal near/after upper-band failure can imply rotation back toward the basis. An Up signal near/after lower-band failure can imply snap-back toward the basis. With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise. █ Related Publications Donchian Predictive Channel (Zeiierman) █ Settings ⚪ Bollinger Band Controls the live Bollinger Bands on the chart. Source – Price used for calculations. Length – Lookback period; higher = smoother, lower = more reactive. Multiplier – Bandwidth; higher = wider bands, lower = tighter bands. ⚪ Forecast Controls the forward projection of the Bollinger Bands. Forecast Bars – How far into the future the bands are projected. Trend Length – Lookback used to estimate trend and volatility slopes. Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed). ⚪ Price Forecast Controls the projected price path inside the bands. ZigZag Swings – Number of projected oscillations. Amplitude – Distance from basis, measured in bandwidth units. Decay – Shrinks swings further into the forecast. ⚪ Random-Walk Adds controlled randomness to the price path. Enable – Toggle random-walk influence. Blend – Strength of randomness vs. zigzag. Step Size – Size of random steps (band-width units). Decay – Reduces randomness as the forecast deepens. Seed – Changes the (stable) random sequence. ⚪ Signals Controls rejection/mean-reversion signals. Show Signals – Enable/disable signal markers. MA Filter (Type/Length) – Filters signals by trend direction. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Penunjuk Pine Script®
oleh Zeiierman
10
Trinity Bollinger Bands Pro with BreakoutsTrinity Bollinger Bands Pro Indicator The **Trinity Bollinger Bands Pro + Triple Bands & Expansion** is a highly customized, advanced volatility and breakout indicator built on the classic Bollinger Bands framework. It expands the standard single-pair bands into **three independent deviation levels** (typically 1σ, 2σ, and 3σ) around a user-selectable moving average basis (default EMA 20). This creates clear "zones" of volatility, with dynamic trend-based coloring, layered fills, fixed-style labels, and a statistical volatility expansion detector shown as a directional background highlight in a separate pane. The result is a visually intuitive tool that helps traders identify consolidation, building momentum, confirmed trends, and rare explosive moves with high-probability filtering. ### Why It's Good and Different from Standard Indicators This indicator stands out by addressing common limitations of traditional Bollinger Bands and multi-deviation scripts: - **Layered statistical significance**: Unlike single (2σ) or basic double-band setups, it provides three distinct levels—early momentum (1σ), standard confirmation (2σ), and extreme/rare breakouts (3σ)—making it easier to stage trades progressively rather than relying on one ambiguous cross. - **Trend-aware visuals**: Bands, basis, and fills change color based on price position relative to a separate trend MA, giving immediate bullish/bearish bias without needing additional indicators. - **Clean, fixed labels**: Tiny, arrow-pointing labels ("1/2/3 SD Above/Below", "BB Basis") with consistent colors (purple upper, blue lower, yellow basis) provide instant identification - **Statistical expansion detection**: Uses percentile ranking of band width "bell curve" concept" to identify abnormally high volatility, triggering directional background highlights (green bullish, red bearish) earlier than raw width spikes. - **Reduced noise and fakeouts**: Tiered breakouts + expansion filter focus alerts on high-probability moves, unlike most BB scripts that flood signals on every touch. Compared to popular public scripts (e.g., standard Bollinger Bands, Triple BB variants, or separate BBW Percentile tools), this combines everything into one cohesive indicator with superior visual clarity and statistical rigor. ### Key Features - **Triple customizable bands**: Enable/disable and adjust multipliers for 1σ (early), 2σ (confirmed), 3σ (extreme) deviations. - **Trend-based dynamic coloring**: Separate editable colors for each band set (bullish/bearish). - **Layered zone fills**: Colored between bands with transparency, reflecting current trend. - **Fixed tiny labels**: All left-pointing arrows with purple (upper), blue (lower), yellow (basis) backgrounds for quick reference. - **Statistical expansion overlay**: with directional background (green/red) during extreme volatility expansions (earlier trigger using 2σ width). - **Tiered alerts**: Early (Band 1), Confirmed (Band 2), Extreme (Band 3), High-Probability (Extreme + expansion), and general expansion alerts. - **Fully configurable basis**: Length, type (SMA/EMA/WMA/RMA), and thin fixed lines for minimal clutter. ### How Traders Can Use It - **Spot squeezes and breakouts**: Watch for tight bands (low width) → expansion background → price closing outside Band 1 (early entry), Band 2 (add/confirm), Band 3 (strong trend conviction). - **Filter fakeouts**: Only act on crosses accompanied by expansion background color matching trend direction—dramatically reduces whipsaws. - **Trend riding**: Price "walking" colored bands (e.g., hugging upper purple-label bands in green background = strong bullish momentum). - **Scalping/intraday**: On lower timeframes (e.g., 10min), use early Band 1 signals with expansion for quick moves. - **Swing/position trading**: Wait for Band 3 extreme breakout + colored background for higher-probability, larger moves. - **Risk management**: Place stops near basis or inner band; trail using outer bands during expansions. Overall, this indicator excels at turning volatility into actionable, staged signals with visual simplicity—ideal for traders seeking an edge in identifying real explosive trends over noise. It's particularly powerful on volatile stocks like AMD/INTC or indices during news/events.
Penunjuk Pine Script®
oleh EMA34TRADER
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals. In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions. This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
Penunjuk Pine Script®
oleh padencodex
3
Bollinger Bands Forecast [QuantAlgo]🟢 Overview Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes. 🟢 How It Works The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart. 🟢 Key Features 1. Market Structure Model This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns. When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility. Practical Implications for Traders: Useful when you trade based on swing points and structural breaks The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend Helps visualize where bands could form around key structural levels you're watching Works better in trending conditions where structure patterns are clearer Might be less effective in choppy, sideways markets without defined swings 2. Volume-Weighted Model This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it. Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative. Practical Implications for Traders: Relevant if you use volume analysis to confirm price moves More meaningful in markets with reliable volume data The Volume Influence parameter (0 to 1) controls how much volume factors into the projection Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable 3. Linear Regression Model The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars? Practical Implications for traders: Provides a neutral, mathematical baseline for comparison Works well when trends are steady and consistent Can be useful for backtesting since results are deterministic Requires minimal configuration beyond lookback period Might not adapt to changing market conditions as dynamically as the other methods Best suited for trending markets rather than ranging or volatile conditions 🟢 Universal Applications Across All Models Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with: ▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there ▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup) ▶ Target setting: Reference projected band levels when determining profit targets or stop placement ▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme ▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move ▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion ▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Penunjuk Pine Script®
oleh QuantAlgo
1
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works Long entries trigger when: - RSI reaches oversold levels, and - At least one bullish candle closes inside the lower Bollinger Band Short entries trigger when: - RSI reaches overbought levels, and - At least one bearish candle closes inside the upper Bollinger Band This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band. Important Disclaimer This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether. For best results, combine this script with: - Price action - Market structure - Higher-timeframe trend context - Previous day/week/month highs & lows - Untested liquidity levels or imbalance zones - Session timing (Asia, London, NY) Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Strategi Pine Script®
oleh krishnaperi95
8
Pro Bollinger Bands Strategy [Breno]This strategy excels in highly volatile financial instruments, including cryptocurrencies, high-beta stocks, commodity futures, and certain exchange-traded funds (ETFs) that exhibit clear mean-reversion characteristics around their Bollinger Bands. The system's ability to utilize scaling (position averaging) and an ATR-based stop loss makes it particularly effective in markets with significant price swings, allowing the trader to capture profits from price extremes while managing increased volatility-related risk. Core Strategy Logic This Strategy implements a comprehensive trend-following and mean-reversion strategy primarily leveraging the Bollinger Bands (BB) indicator for entry and exit signals, complemented by an Average True Range (ATR)-based Stop Loss mechanism and an optional EMA filter. It is designed with robust features for capital management, including configurable leverage and a sophisticated position averaging (scaling) system. Long Entry: A long position is initiated when the closing price crosses over the Lower Bollinger Band (ta.crossover(close,lowerBB)). This signals a potential mean-reversion opportunity following a price dip. Short Entry: A short position is initiated when the closing price crosses under the Upper Bollinger Band (ta.crossunder(close,upperBB)). (Note: Short entries are disabled by default in the script inputs). Exit Conditions (Profit Target): Long positions aim to exit upon interaction with the Upper Bollinger Band. Users can select from three exit methods: "Close When Touch": Exits when close≥upperBB. "Close Above then Below": Exits when the previous close was above the upper band, and the current close is below it (a reversal signal). "High Above": Exits when high>upperBB. The strategy features an optional profitOnly setting, which restricts all exits to only occur if the trade is currently in profit (i.e., close is above the strategy.position_avg_price for longs). Key Features and Customization Bollinger Bands & Filters - Customizable BB Parameters: The Length and Deviation of the Bollinger Bands are fully adjustable, allowing users to fine-tune the sensitivity of the entry and exit signals. Optional EMA Filter: An optional EMA Filter can be enabled to align entries with the prevailing trend, where a Long entry is only permitted if close≥EMA(EmaFilterRange). Risk and Capital Management - Equity Allocation: Position size is dynamically calculated based on a Percentage of Equity (capitalPerc) combined with the set Leverage multiplier. Dynamic Stop Loss (ATR-Based): An optional Stop Loss (SL) is calculated using a multiple (slAtrInput) of the Average True Range (ATR). The SL is set relative to the entry price upon trade activation, providing a volatility-adjusted risk management layer. Position Averaging (Scaling): The script supports the addition of multiple units (pyramiding) to an existing position based on three user-selected criteria: "No": No averaging. "Percent": Adds to the position if the price has dropped by a set percentage (addPct) from the average price. "ATR": Adds to the position if the current price is significantly below a calculated ATR-based support level from the average price.
Strategi Pine Script®
oleh brenosilver
Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) [CHE]Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) — Higher-timeframe BB emulation with bucket-based length scaling and on-chart diagnostics Summary This indicator emulates higher-timeframe Bollinger Bands directly on the current chart by scaling a fixed base length (20) via a timeframe-to-bucket multiplier map. It avoids cross-timeframe requests and instead applies the “HTF feel” by using a longer effective lookback on lower timeframes. Bands use the classic deviation of 2 and the original color scheme (Basis blue, Upper red, Lower green, blue fill). An on-chart table reports the resolved bucket, multiplier, and effective length. Pine version: v6 Overlay: true Primary outputs: Basis (SMA), Upper/Lower bands, background fill, optional info table Motivation: Why this design? Cross-timeframe Bollinger Bands typically rely on `request.security`, which can introduce complexity, mixed-bar alignment issues, and potential repaint paths depending on how users consume signals intrabar. This design offers a deterministic alternative: a single-series calculation on the chart timeframe, with a hardcoded “HTF emulation” achieved by scaling the BB length according to coarse higher-timeframe buckets. The result is a smoother, slower band structure on low timeframes without external timeframe calls. What’s different vs. standard approaches? Baseline: Standard Bollinger Bands with a fixed user length on the current timeframe, or true HTF bands via `request.security`. Architecture differences: Fixed base parameters: Length = 20, Deviation = 2. Bucket mapping derived from the chart timeframe (or manually overridden). No `request.security`; all computations occur on the current series. Effective length is “20 × multiplier”, where multiplier approximates aggregation into the chosen bucket. Diagnostics table for transparency (bucket, multiplier, resolved length, bandwidth). Practical effect: On lower timeframes, the effective length becomes much larger, behaving like a higher-timeframe Bollinger structure (smoother basis and wider stability), while remaining purely local to the chart series. How it works (technical) The script first resolves a target bucket (“Auto” or a manual selection such as 60/240/1D/…/12M). It then computes a multiplier that approximates how many current bars fit into that bucket (e.g., 1m→60m uses mult≈60, 5m→60m uses mult≈12). The effective Bollinger length becomes: `bb_len = 20 mult` (clamped to at least 1) Using the effective length, it calculates: `basis = ta.sma(src, bb_len)` `dev = 2 ta.stdev(src, bb_len)` `upper = basis + dev` `lower = basis - dev` A “bandwidth” diagnostic is also computed as `(upper-lower) / basis` (guarded against division by zero) and shown in the table as a percentage. A persistent table object is created/deleted based on the visibility toggle and updated only on the last bar for performance. Parameter Guide Source — Input series for the bands — Default: Close Use close for classic behavior; smoother sources reduce responsiveness. Bucket — HTF bucket selection — Default: Auto Auto derives a bucket from the chart timeframe; manual selection forces the intended target bucket. Offset — Plot offset — Default: 0 Shifts plots forward/back for visual alignment, displayed in the data window. Table X / Table Y — Table anchor — Default: Right / Top Places the diagnostics table in one of nine anchor points. Table Size — Table text size — Default: Normal Use small on dense charts, large for presentations. Dark Mode — Table theme — Default: Enabled Switches table palette for readability against chart background. Show Table — Toggle diagnostics table — Default: Enabled Disable for a cleaner chart. Reading & Interpretation Basis (blue): The moving average centerline of the bands (SMA of effective length). Upper (red) / Lower (green): ±2 standard deviations around the basis using the same effective length. Fill (blue tint): Visual band zone to quickly see compression/expansion. Interpretation staples: Price riding the upper band suggests strong bullish pressure; riding the lower band suggests strong bearish pressure. Band expansion indicates rising volatility; contraction indicates volatility compression. Mean reversion setups often key off the basis and re-entries from outside bands, while breakout/trend setups often key off sustained band rides. Diagnostics table: HTF Tag: Human-readable label showing the current timeframe → bucket mapping. Bucket: The resolved target bucket (Auto result or manual selection). Multiplier: The integer factor applied to the base length. Len/Dev: Shows base length (20) and the effective length result plus deviation (2). Bandwidth: Normalized width of the band (percent), useful for spotting squeezes. Practical Workflows & Combinations HTF context on LTF charts: Use this as “slow structure” bands on 1m–15m charts without requesting HTF data. Squeeze detection: Watch bandwidth shrink to historically low levels, then look for break/hold outside bands. Trend filtering: Favor long bias when price stays above the basis and repeatedly respects it; favor short bias when below. Confluence: Combine with market structure (swing highs/lows), volume tools, or a trend filter (e.g., a longer MA) for confirmation. Behavior, Constraints & Performance Repaint/confirmation: No cross-timeframe requests. Values can still evolve intrabar and settle on close, as with any indicator computed on live bars. History requirements: Very large effective lengths need sufficient historical bars; expect a warm-up period after loading or switching symbols/timeframes. Known limits: Because the method approximates HTF behavior by scaling lookback, it is not identical to true HTF Bollinger Bands computed on aggregated candles. In particular, volatility and mean can differ slightly versus a real HTF series. Sensible Defaults & Quick Tuning Default workflow: Bucket: Auto Source: Close Table: On (until you trust the mapping), then optionally off If bands feel too slow on your timeframe: choose a smaller bucket (e.g., 60 instead of 240). If bands feel too reactive/noisy: choose a larger bucket (e.g., 1D or 3D). If chart looks cluttered: hide the table; keep only the bands and fill. What this indicator is—and isn’t This is a Bollinger Band visualization layer that emulates higher-timeframe “slowness” via deterministic length scaling. It is not a complete trading system and does not include entries, exits, sizing, or risk management. Use it as context alongside your execution rules and protective stops. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino.
Penunjuk Pine Script®
oleh chervolino
Hyper Squeeze Sniper (Dual Side: Long + Short)Hyper Squeeze Sniper (Dual Side Strategy) This script is a comprehensive Volatility Breakout System designed to identify and trade explosive price moves following periods of consolidation. It combines the classical "Squeeze" theory with Linear Regression Momentum, Volume Analysis, and an ATR-based Trailing Stop to filter false signals and manage risk effectively. The script operates on a logic of "Compression -> Explosion -> Trend Following" suitable for both Long and Short positions. 🛠 Detailed Methodology (How it works) 1. The Squeeze Detection (Consolidation) The core concept relies on the relationship between Bollinger Bands (BB) and Keltner Channels (KC). Condition: When the Bollinger Bands (Standard Deviation) contract and fall inside the Keltner Channels (ATR based), it indicates a period of extremely low volatility (The Squeeze). Visual: The background turns Gray to indicate "Do Not Trade / Wait Mode". 2. Momentum Confirmation (Linear Regression) Instead of using standard lagging indicators, this script utilizes Linear Regression of the price deviation to determine the direction of the breakout. If the Linear Regression Slope > 0, the bias is Bullish. If the Linear Regression Slope < 0, the bias is Bearish. 3. Volume Validation To avoid fake breakouts, a Volume Spike filter is applied. A signal is only valid if the current volume exceeds its moving average by a defined multiplier (Default x1.2). 4. Risk Management: ATR Trailing Stop Once a trade is entered, the script calculates a dynamic Trailing Stop based on the Average True Range (ATR). - Long: The stop line trails below the price and never moves down. - Short: The stop line trails above the price and never moves up. - Exit: The position is closed immediately when the price breaches this volatility-based safety line. How to Use 1. Wait: Look for the Gray Background. This is the accumulation phase. 2. Entry: LONG: Wait for a Green Triangle ▲ (Price breaks Upper BB + Vol Spike + Bullish Momentum). SHORT: Wait for a Red Triangle ▼ (Price breaks Lower BB + Vol Spike + Bearish Momentum). 3. Exit: Close the position when the "X" mark appears or when candles cross the trailing safety line. Settings - BB Length/Mult: Adjust the sensitivity of the squeeze detection. - Vol Spike Factor: Increase this to filter out low-volume breakouts. - ATR Period/Mult: Adjust the trailing stop distance (Higher = Wider stop for swing trading).
Penunjuk Pine Script®
oleh Gustav_Rex
4
Multi-Asset Option Strike PricesMulti-Asset Option Strike Prices automatically plots dynamic option strike levels for multiple assets on your chart. The indicator detects the active symbol and draws strike ladders above and below the current price using customizable strike increments (FX, indices, commodities, metals, etc.). It also rounds price to the nearest strike, giving a precise structural reference used by institutional options desks. These strike levels help traders visualize trend direction, trend boundaries, and potential turning points based on how price interacts with known option clusters. By mapping evenly spaced strike steps, the indicator also highlights natural stop-loss and take-profit zones within a trend, allowing traders to manage risk around predictable option-driven price levels. Supports up to 10 assets, includes custom line styling, and provides automatic strike labeling.
Penunjuk Pine Script®
oleh Kevnett
Bollinger Bands (MTF) + Bandwidth & %BJBB MTF: Bollinger Bands (MTF) + Bandwidth & %B This Pine v6 indicator overlays multi‑timeframe Bollinger Bands on the price chart and adds a lower panel with normalized Bandwidth (histogram) and %B (line), plus squeeze/bulge markers and alerts for volatility shifts. Key idea: See higher‑timeframe BB context on your working chart while tracking volatility regimes and price position within bands. Features - Multi‑Timeframe BBs: Up to four TFs (TF1–TF4) via request.security, each with visibility, colors, line widths, and optional background fills. - Configurable Inputs: Length, MA type (SMA/EMA/SMMA/WMA/VWMA), Source, StdDev multiplier, and Offset. - Lower Panel Metrics: %B (line) shows price position in the band; Bandwidth (histogram) shows width relative to basis, normalized and color‑coded vs its SMA. Reference lines at 0, 0.5, 1.0; raw highest/lowest bandwidth lines for context. - Squeeze/Bulge Detection: Alerts when bandwidth equals the rolling lowest (Squeeze) or highest (Bulge). How It Works - Per timeframe, BBs use the chosen MA basis and standard deviation × multiplier to form upper/lower bands. - A selectable TF (TF1–TF4) drives %B/Bandwidth calculations, independent of overlay TFs. Bandwidth is normalized to the rolling min–max window with safeguards against division by zero. Use Cases - Visualize higher‑timeframe context directly on your chart. - Spot volatility squeezes and expansions with objective markers and alerts. Combine %B momentum with Bandwidth regime changes to refine entries and exits.
Penunjuk Pine Script®
oleh T723hmm
1
Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model . It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior. 🔵 CONCEPTS Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price. This indicator enhances them with linear regression slope detection , allowing it to forecast how the band may expand or contract in the future. Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars . The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility. ▲ and ▼ markers highlight potential mean reversion points when price crosses the outer bounds of the bands. 🔵 FEATURES Forecast Engine : Uses linear regression to project Bollinger Band movement into the future. Dynamic Channel Width : Adapts standard deviation and slope for realistic volatility modeling. Auto-Labeled Levels : Displays live upper and lower forecast values for quick reference. Cross Signals : Marks potential overbought and oversold zones with ▲/▼ signals when price exits the band. Trend-Adaptive Basis Color : Basis line automatically switches color to represent short-term trend direction. Customizable Colors and Widths for complete visual control. 🔵 HOW TO USE Apply the indicator to visualize both current Bollinger structure and its forward projection. Use ▲/▼ breakout markers to identify short-term reversals or volatility shifts. When price consistently rides the upper band forecast, the trend is strong and likely continuing. When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period. For range traders, outer projected bands can be used as potential mean reversion entry points . Combine with volume or momentum filters to confirm whether breakouts are genuine or fading. 🔵 CONCLUSION Bollinger Bands Regression Forecast transforms classic Bollinger analysis into a predictive forecasting model . By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.
Penunjuk Pine Script®
oleh BigBeluga
14
XAUUSD Pro Setup Suite manuel_lnt.fx is an advanced Pine Script v6 indicator designed exclusively for XAUUSD, built to automatically detect the 5 highest-probability setups in gold day trading. It combines institutional price action, volatility patterns, mean reversion logic, and momentum confirmation to generate clean, filtered, and actionable signals. The indicator automatically detects: ⸻ 1️⃣ Break & Retest Premium (BR) Identifies valid breaks of key levels and signals the retest with rejection wick, EMA20 trend confirmation, and neutral RSI. → Excellent for trend continuation. ⸻ 2️⃣ Fakeout Liquidity Trap (FO) Detects liquidity grabs above highs or below lows with an opposite close + engulfing candle confirmation. → The strongest setup for fast and explosive reversals on gold. ⸻ 3️⃣ MACD Zero-Line Shift (MACD) Signals when the MACD crosses the zero line while price breaks micro-structure. → Perfect for spotting the start of a new trend. ⸻ 4️⃣ Bollinger Squeeze → Breakout (BB) Recognizes volatility compression and signals when a breakout is likely to explode. → Ideal for clean breakout trades. ⸻ 5️⃣ Mean Reversion on EMA50 (MR) Highlights price extensions far away from the EMA50 with ATR confirmation and a reversal candle. → Great for pullbacks back toward the mean value.
Penunjuk Pine Script®
oleh lentini_manuel96
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha. By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as “rotating volatility” — a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities. 🧠 Strategy Logic ✅ Long Entry Condition: Stochastic on the 4H timeframe: %K crosses above %D Both %K and %D are below 20 (oversold zone) Bollinger Bands on the 1H timeframe: Price crosses above the lower Bollinger Band, indicating a potential reversal → A long trade is opened when both momentum recovery and volatility reversion align. ✅ Long Exit Condition: Stochastic on the 4H: %K crosses below %D Both %K and %D are above 80 (overbought zone) Bollinger Bands on the 1H: Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion → The long trade is closed when either signal suggests a potential reversal or overextension. 🧬 Temporal Structure & Alpha This strategy is deployed on a 10-hour chart — a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics. This subtle adjustment exploits what some traders identify as “temporal drift” — the desynchronization of volatility across timeframes that creates hidden rhythm in price action. → For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows. 📊 Indicator Components 🔹 Stochastic Oscillator (4H, Length 17) Detects momentum reversals using %K and %D crossovers Helps define overbought/oversold zones from a mid-term view 🔹 Bollinger Bands (1H, Length 20, ±2 StdDev) Measures price volatility using standard deviation around a moving average Entry occurs near lower band (support), exits near upper band (resistance) 🔹 Multi-Timeframe Logic Uses request.security() to safely reference 4H and 1H indicators from a 10H chart Avoids repainting by using closed higher-timeframe candles only 📈 Visualization A plot selector input allows toggling between: Stochastic Plot (%K & %D, with overbought/oversold levels) Bollinger Bands Plot (Upper, Basis, Lower from 1H data) This helps users visually confirm entry/exit triggers in real time. 🛠 Customization Fully configurable Stochastic and BB settings Timeframes are independently adjustable Strategy settings like position sizing, slippage, and commission are editable ⚠️ Disclaimer This strategy is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Market conditions vary, and past performance does not guarantee future results. Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
Strategi Pine Script®
oleh RWCS_LTD
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases. This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action. █ KEY FEATURES Momentum Histogram The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states: • Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation. • Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening. • Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation. • Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening. The color intensity provides immediate feedback on momentum strength and trend health. Squeeze State Indicator Colored dots on the zero line communicate the current volatility state: • Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility. A breakout is building and traders should prepare for directional movement. • Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility. Price is moving with conviction in the current direction. • Gray Dots — Neutral state. The bands are transitioning between squeeze states. Release Triangles Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing: • Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity. • Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity. Information Panel A compact dashboard in the top-right corner displays real-time trading intelligence: • Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding • Momentum Direction — Current bias: BULL or BEAR • Momentum Value — Precise numerical reading of momentum strength • Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR Configurable Parameters All calculation inputs are adjustable to match your trading style and timeframe: • BB Length — Bollinger Bands period (default: 20) • BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0) • KC Length — Keltner Channels period (default: 20) • KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5) • Momentum Length — Linear regression period for momentum calculation (default: 20) Alert System Four alert conditions notify you of critical trading opportunities: • Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry • Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry • Squeeze Started — Volatility compression detected, prepare for upcoming breakout • Squeeze Ended — Volatility expansion confirmed, breakout is active █ TRADING METHODOLOGY The indicator follows a clear four-step process for identifying and trading squeeze breakouts: 1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility. Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions. 2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal. The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction. 3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation: • Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout. • Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout. 4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color. When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops. █ INTERPRETATION GUIDE Squeeze Detection Logic A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when: • Standard deviation of price decreases (BB narrows) • Price consolidates within a tight range • Volatility compresses to unsustainable levels The orange dots signal this condition, warning traders that explosive movement is imminent. Squeeze Release Logic A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when: • Price volatility increases sharply • Price breaks out of consolidation • Volume typically expands (check volume separately) The green dots and release triangles signal this condition, indicating the direction and timing of the breakout. Momentum Reading The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range: • Above Zero : Price is trading above the range midpoint with bullish pressure • Below Zero : Price is trading below the range midpoint with bearish pressure • Increasing Bars : Momentum is strengthening in the current direction (darker color) • Decreasing Bars : Momentum is weakening in the current direction (lighter color) █ BEST PRACTICES • Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts. Lower timeframes may produce more false signals due to noise. • Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups. • Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail. • Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend. • Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes. █ LIMITATIONS • The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs. • False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses. • The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable. • Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action. █ NOTES This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide. The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets. █ CREDITS Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
Penunjuk Pine Script®
oleh kingthies
1