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Bollinger Aurora Velocity [Pineify]Pineify - Bollinger Aurora Velocity The Bollinger Aurora Velocity is an enhanced volatility and trend analysis indicator that transforms the classic Bollinger Bands into a visually stunning, multi-dimensional trading tool. By combining standard deviation bands with historical extreme tracking and dynamic momentum coloring, this indicator provides traders with deeper insights into volatility cycles, squeeze conditions, and trend strength all in one overlay. Key Features Classic Bollinger Bands with customizable period and standard deviation multiplier Nebula Memory Cloud tracking historical band extremes for volatility context Volatility Squeeze Detection with visual dot indicators on the basis line Gradient-based candle coloring reflecting normalized price position Multi-layer aurora gradient fills for intuitive visual analysis How It Works The indicator begins with a standard Bollinger Bands calculation using a simple moving average as the basis line, with upper and lower bands placed at a user-defined multiple of standard deviation. This core structure measures price volatility and identifies overbought/oversold conditions. The Nebula Memory Cloud extends beyond traditional bands by tracking the highest point of the upper band and lowest point of the lower band over a configurable lookback period. This creates an outer envelope showing the maximum volatility expansion in recent history. Trading Ideas and Insights The Volatility Squeeze is a powerful concept where contracting Bollinger Bands often precede significant price breakouts. This indicator detects squeezes by comparing the current band width to its 100-period simple moving average. When the current range falls below this average, yellow dots appear on the basis line, alerting traders to potential explosive moves ahead. When squeeze dots appear and the outer nebula cloud shows significant distance from the current bands, it suggests volatility is at a historical low relative to recent extremes—a setup often followed by strong directional moves. How Multiple Indicators Work Together Bollinger Bands establish the primary volatility envelope and mean-reversion zones The Nebula Cloud provides historical context, showing how current volatility compares to recent extremes Squeeze Detection identifies compression phases using relative bandwidth analysis Normalized Scoring translates price position into a 0-100 scale for gradient coloring Unique Aspects Unlike standard Bollinger Bands indicators, the Aurora Velocity creates a heat-map effect on price bars. The normalized score calculates where price sits within the bands as a percentage, then applies a smooth gradient from bearish to bullish colors. This allows traders to instantly perceive momentum strength—saturated bullish colors near the upper band indicate strong upward pressure, while saturated bearish colors near the lower band signal selling dominance. The aurora-style gradient fills between band layers create visual depth, making it easy to distinguish the core volatility zone from the historical extreme boundaries. How to Use Monitor candle colors for momentum direction—bright green indicates bullish positioning, bright red signals bearish pressure Watch for yellow squeeze dots on the basis line as early warning for potential breakouts Use the outer nebula cloud to assess if current volatility is testing historical extremes Set alerts for price breakouts above the upper band or below the lower band Combine squeeze conditions with the nebula cloud width to gauge breakout potential Customization Base Period - Controls Bollinger Bands calculation length (default: 20) Standard Deviation Multiplier - Adjusts band width from the basis (default: 2.0) Price Source - Select the price input for calculations (default: close) Nebula Memory Length - Lookback period for tracking historical extremes (default: 50) Color Settings - Customize bullish and bearish gradient colors Conclusion The Bollinger Aurora Velocity elevates traditional Bollinger Bands analysis by adding historical volatility context through the Nebula Cloud, precise squeeze detection for breakout anticipation, and intuitive momentum visualization through gradient candle coloring. This combination helps traders identify not just where price is relative to volatility bands, but how that volatility compares to recent history and when compression may lead to expansion.
Wskaźnik Pine Script®
od Pineify
Not only a Supertrend [by Oberlunar]Oberlunar’s Not only Supertrend is designed for traders who need something that stays reactive in fast regimes without collapsing when the tape turns discontinuous—volume gaps, microstructure noise, sudden volatility shocks. The design goal is to approximate market regime dynamics by combining a probability-like regime score (a bounded Bayesian-style posterior from multiple evidence) with a measure of regime impulse (the Kalman-filtered step/change in evidence). For ETF-like tapes, it models second-order behaviour: volatility expansion vs contraction, persistence of the expansion, and participation/flow confirmation proxies (via multi-broker OHLCV pressure dominance), to reduce sensitivity to transient spikes. There is no type of lookahead bias or repaint: More or less 2 R in a 10-minute chart... The core signal is built around two regime proxies that are intentionally different, so they don’t fail in the same way when the tape gets stressed. The first proxy looks at realised volatility computed from log-returns, then maps it into a rolling percentile range. Framing volatility this way keeps it scale-free and easier to compare across instruments and across very different volatility states, and it also helps avoid the typical warping you can get from raw ATR-like measures when the market produces abrupt jumps. The second proxy focuses on Bollinger Band width, but not in absolute terms: it measures the width relative to its own EMA baseline, and then compresses that ratio through a logistic mapping. This keeps the regime evidence continuous, smoothly saturating, and far less prone to “threshold artefacts” where a tiny change flips the state. Put together, these two pieces produce an “ expansion base ” and a “ contraction base ” that stay bounded and well-behaved, even when price action prints discontinuities. Then, directional bias is handled as a soft prior that can lean the model without overpowering it. In practice, a weighted multi-timeframe RSI builds a probability-like prior over long versus short bias, so the engine can express partial conviction and gracefully reconcile conflicts across timeframes instead of forcing a single, binary view. That separation matters in situations where directional edge and volatility regime edge are related but not the same thing. The design keeps them coupled—so strong direction can reinforce regime confidence—but it does not collapse them into one signal. For that reason, the system works with four parallel channels— expansion-long, expansion-short, contraction-long, contraction-short —as continuous evidence streams. And when price breaks the Bollinger bands, it’s treated as a conditional boost to the relevant evidence instead of an absolute trigger, which helps reduce false positives during noisy, stop-run style breakouts. You can use a not only Supertrend line style with signals... ...or just follow its planes and their breakout, such in the following example: To keep the system resilient to gaps and one-bar anomalies, the raw evidence doesn’t go straight into decisions: it is first passed through an alpha–beta Kalman update. In practical terms, this acts as a lightweight state-space tracker that follows both the level of the evidence and its drift . The level is your smoothed, probability-like regime proxy. The drift is the key ingredient for options, because it captures how quickly the regime is changing—what you can reasonably describe as the acceleration of the transition. Crucially, the script doesn’t just compute that internally and forget it: it explicitly takes the step of the filtered state, normalises it, and uses it as a feature. That lets the engine distinguish between a regime that is high but basically flat, and a regime that is actively ramping. And because one-bar spikes can still happen, the step feature is bounded, so it can react to real transitions without overreacting to a single print. The final confidence layer is produced with a Bayesian-style update that treats both the prior and the incoming evidence as **pseudo-counts in a Beta distribution**, and then uses the **posterior mean** as the final probability-like score. The prior is derived from the weighted multi-timeframe RSI: the script maps the weighted RSI into a smooth probability via a sigmoid (`rsiPriorLong`), and uses its complement for short bias (`rsiPriorShort`). The likelihood is built per channel, and it is deliberately simple and bounded. For expansion, the likelihood combines the Bollinger expansion signal with the normalised Kalman step , using user-controlled weights. Contraction does the same with the corresponding contraction signals. Small conditional boosts are then applied when the price breaks the bands (or stays inside them), but these boosts remain incremental rather than flipping the state. The two strength parameters, `kPrior` and `kLike`, control how “ sticky ” this posterior is. A higher `kPrior` makes the posterior lean more strongly on the RSI-based belief and therefore move more smoothly. A higher `kLike` gives more authority to the incoming evidence (BB regime + Kalman step), so the posterior adapts faster when conditions change. In effect, this is a practical calibration layer: instead of stacking indicators and hoping they agree, the script converts each component into bounded evidence, fuses them into a single posterior mean, and exposes explicit controls for stability versus responsiveness—exactly the trade-off you typically care about when dealing with convex instruments, where you want confidence to be reactive, but not fragile. Bands filled by expansion Bayesian posterior: Because regime detection alone isn’t enough to avoid whipsaws, the script adds an adaptive “lane supertrend” layer. This supertrend layer is not built upon a classic ATR. Instead of operating on price distance, it operates on posterior imbalance : the engine computes a net score as the difference between bullish and bearish posteriors (`netE = postEL - postES` for expansion and `netC = postCL - postCS` for contraction), and that net is what drives direction. Direction changes are then gated by an adaptive deadband . In turn, the deadband is not fixed: it expands or contracts based on two things that already exist in the model— posterior confidence (e.g., `confE = max(postEL, postES)`) and regime intensity (e.g., `regE = volPct01`, and the complementary contraction regime). Those are mixed to produce `dbE` and `dbC`, which act like a hysteresis zone around neutrality. When the posterior is indecisive and the regime is noisy, the deadband effectively widens, so small oscillations around zero don’t cause constant flips. When the posterior becomes decisive, the deadband tightens, and the direction logic becomes more responsive. On top of that, flips are not allowed instantly: the script uses a flip-confirm counter that requires the net score to stay beyond the deadband for multiple bars before a direction switch is accepted. This prevents the engine from toggling on micro-oscillations and single-bar disturbances. Visually, the “lane” is explicitly mapped into price space . In detail, the script builds a lane geometry using ATR as a vertical scale, then projects the net posterior into the expansion and contraction band. With optional trailing enabled, the lane value is further “supertrend-like”, so what you see on the chart reads as a probabilistic supertrend line —a line whose position and persistence reflect posterior imbalance—rather than a raw volatility expression. Finally, to address real-world tape issues (discontinuities, fragmented liquidity, venue noise), the script integrates a multi-broker Volumetric Dominance filter as an additional gate. It aggregates multi-broker OHLCV, derives a pressure-like proxy, and only allows certain triggers when cross-broker dominance is sufficiently aligned—so the system is less likely to react to isolated prints that aren’t supported by broader participation. Once dominance is both directional and concentrated, the filter becomes a hard regime-consistency gate. If dominance is meaningfully bearish, the script blocks bullish expansion triggers and symmetrically blocks bearish expansion triggers when dominance is bullish. In other words, it’s not trying to “confirm” signals after the fact; it enforces a consistency constraint between volatility-expansion regime and cross-venue participation direction, specifically to reduce the exact kind of false positives that can wreck options entries: apparent volatility expansion occurring into opposing flow. Thus, this is not only a Supertrend. It’s a bounded, smooth regime engine with an outlier-resistant “acceleration” step, a Bayesian-style posterior with tunable inertia, and a dominance gate that blocks expansion signals when multi-venue pressure points the other way. It can still fail—no proxy fully captures the tape, and any filter can lag or miss abrupt turns—but I think it’s a framework worth exploring for more informed entries across assets: responsive in fast regimes, yet less fragile around gaps and volatility shocks. Enjoy! by Oberlunar 👁★
Wskaźnik Pine Script®
od oberlunar_tr
Compression-to-Expansion Early Warning (CEEWS)The Compression → Expansion Early Warning System (CEEWS) is a volatility-structure and market-timing indicator designed to identify periods of statistical price compression and to signal when that compression transitions into directional expansion. Rather than predicting direction in advance, CEEWS focuses on detecting when price action becomes tightly constrained and then confirms when stored energy begins to release. CEEWS quantifies compression using a composite of volatility contraction, range tightening, candle overlap, and reference-level convergence, producing a normalized Build score (0–100) that reflects the degree of latent price pressure. Elevated Build values indicate that the market is coiled and increasingly susceptible to movement, while expansion signals occur only when volatility begins to expand and price breaks from its recent range. The indicator is intended as a timing and transition tool, not a standalone trend or directional system. CEEWS is most effective when paired with broader regime or trend-health indicators and is particularly well suited for index funds and highly liquid markets, where prolonged consolidation phases often precede sharp directional moves. Its primary purpose is to help traders identify when the market is likely to move, not to forecast where it will go.
Wskaźnik Pine Script®
od noahsross
TrintityTrendIntroducing TrinityTrend A multi-signal indicator combining: Candle TrendStrength SuperTrend logic TTM Squeeze detection Built for clarity, momentum, and volatility awareness—across any timeframe. TrendStrength Mode Candle coloring reflects directional conviction. Strong uptrend Strong downtrend Neutral or indecisive Helps traders stay with momentum and avoid chop. SuperTrend Overlay SuperTrend Logic Dynamic trailing stop based on volatility. 🟩 Price above = bullish bias 🟥 Price below = bearish bias Great for swing entries and exits. TTM Squeeze Detection TTM Squeeze Mode Detects compression zones before breakout. Squeeze on = buildup (You can change the color of this) Pairs well with TrendStrength for timing entries. Multi-Timeframe Versatility Multi-Timeframe Ready: Intraday scalping Daily swing setups Weekly macro bias Toggle modes to match your strategy
Wskaźnik Pine Script®
od followmytradingjournal
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation . It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal. --- Core Concept 1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter 2. Keep the setup active for a limited number of candles 3. Trigger the entry using a MACD bullish crossover 4. Reset after entry to avoid multiple signals from the same setup --- Buy Signal Logic A buy signal is generated when the following conditions are met: 1. Oversold Setup (filters can be enabled/disabled individually) • Bollinger Bands %b Oversold (Lookback-based) The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles. • RSI Oversold (Lookback-based) The RSI has dropped below 30 at least once within the last `lookbackRSI` candles. • DSS (Double Smoothed Stochastic) Reversal Filter A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions. Note: BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event . --- 2. MACD Confirmation (Entry Timing) After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles). If the MACD confirmation occurs within this window, a buy signal is printed. If the window expires without confirmation, the setup is discarded automatically. --- Reset Logic • After a buy signal, the setup is reset immediately • Only one signal is allowed per setup • No late entries after the time window expires --- Inputs & Customization • Enable or disable BB, RSI and DSS filters individually • Adjust lookback periods to control how recent oversold conditions must be • Tune the MACD confirmation window to balance early vs. conservative entries Smaller windows = faster, more aggressive entries Larger windows = fewer but more confirmed signals Recommended Markets & Timeframes • Cryptocurrencies, Forex, Indices, liquid stocks • Best suited for 1m – 15m scalping • Also usable on 15m – 1h for slower mean-reversion trades Visuals • Buy signals are displayed as labels below the price candles Important Notes • This indicator is a signal and timing tool , not a complete trading system • Always combine with higher-timeframe trend, support/resistance or volume analysis • Backtesting and paper trading are strongly recommended Disclaimer: This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals. All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent. The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Wskaźnik Pine Script®
od DotGain
2
MTF Squeeze Confluence CloudsMTF Squeeze Confluence Clouds is a multi-timeframe volatility compression indicator designed to visually identify Bollinger Band / Keltner Channel squeeze alignment across multiple timeframes. By aggregating squeeze conditions from up to seven configurable timeframes, the indicator highlights periods of volatility contraction confluence, helping traders quickly assess whether compression is isolated or broadly aligned. Core Features Multi-Timeframe Squeeze Detection Detects BB/KC squeeze conditions across up to 7 independent timeframes, each fully customizable. Dynamic Confluence Cloud Visualization Squeeze regions are rendered as adaptive chart-overlay clouds. Cloud color intensity reflects the number of active squeezes, providing immediate visual feedback on compression strength. OHLC or Heikin Ashi Source Selection Choose between traditional OHLC or Heikin Ashi candle calculations for squeeze evaluation. Confluence-Based Color Mapping Cloud colors automatically adapt as additional timeframes enter or exit squeeze, allowing traders to monitor compression buildup and release in real time. TF Forecast Table An optional on-chart table displays: - Enabled timeframes - Current squeeze participation per timeframe - Color-coded confluence strength for quick reference Clean, Non-Intrusive Design All plots are hidden except for clouds and the optional table, ensuring a clutter-free charting experience. Customization Options Independent enable/disable for each timeframe Adjustable Bollinger Band and Keltner Channel parameters Configurable cloud opacity and visual intensity Selectable table position (any chart corner) This indicator is intended as a volatility context and confluence visualization tool. It does not generate trade signals and should be used in combination with price action, volume, or other analytical methods.
Wskaźnik Pine Script®
od RiskyInvesting
RSI Bollinger Band and Trend Confidence Gauge█ RSI BB Trend Confidence Gauge (ADX/DMI) Cross-checks Trend + Momentum + Strength in real time so you focus on VERIFIED conditions. Most of us have been there: you see a move starting, you jump in, and the market immediately turns into a sideways chop-fest that eats your stop. This is a simple dashboard that forces the market to “prove itself” before you put capital at risk. █ WHAT MAKES THIS DIFFERENT? Most indicators are “Yes/No” machines — they fire signals anytime two lines cross, even when the market is weak, noisy, or range-bound. This script is a Quality Filter . Instead of asking “Is price moving?”, it asks: “Is the move backed by alignment, momentum, and strength?” VERIFIED only appears when all three agree, helping you avoid low-probability chop and “no-trade” consolidation zones. █ QUICK START • UP + VERIFIED + High ➔ “A-Tier” state; favor pullbacks or continuation. • DOWN + VERIFIED + High ➔ bearish control is real; avoid dip-buying. • Conflict (gray) ➔ indicators disagree; step aside and wait for alignment. • R or B markers ➔ overextension warnings; don’t chase into extremes. █ THE "ANTI-CHOP" ENGINE Trading is probability, not guessing. This script uses a 3-stage logic gate to verify conditions: • 1) The Trend (HMA 13/34): Hull Moving Averages provide a fast, smooth regime filter. If fast vs. slow isn’t clean, the regime isn’t ready. • 2) The Fuel (RSI 50): A trend without momentum is a trap. UP/DOWN only prints when RSI confirms. • 3) The Proof (ADX/DMI): Final gate. VERIFIED only appears when ADX ≥ 22 and DI+/DI- agrees . If strength isn’t there, stay sidelined. █ VISUALS YOU'LL ACTUALLY USE • Live Dashboard: Bottom-center snapshot of RSI, Direction (UP/DOWN/Conflict), VERIFIED status, and Confidence tier (Low/Med/High). • Exhaustion Markers: Orange icons when price is extended: "R" for RSI extremes and "B" for Bollinger Band hits. These flag caution zones. • Trend Ribbon: Zero-line bias bar: Lime (bullish), Red (bearish), Gray (conflict/chop risk). █ SETTINGS • Action ADX Minimum (default 22): Want stricter verification? Try 25. Want earlier signals? Try 20 (higher noise/risk). Disclaimer: Educational tool only. Not financial advice. Past performance does not guarantee future results. Always use strict risk management.
Wskaźnik Pine Script®
od TheAITradingDesk
1
Bollinger Band Walker Tenkyo Pro Japanese localized version This is the Japanese localized version of "Bollinger Band Walker Tenkyo Pro". As per house rules, I am including the English description below: Main Feature: Unique "Session-Adaptive Logic" for Tokyo, London, and NY sessions. Purpose: Precise detection of band-walk initial moves while filtering market noise. Setting: Optimized for 15-minute charts on major currency pairs. For full technical documentation, please refer to the original English publication. 【究極の初動検知】ボリンジャーバンド・ウォーカー 天響 Pro 「バンドウォークの初動を見逃さない！」本スクリプトはこの一点のみを追求し、開発されました。多くのトレーダーが「ただの±2σブレイク」で騙される中、天響 Proは市場の深層にある「セッション別の鼓動」を解析し、真のトレンド加速を特定します。 ■ なぜ「初動」を捉えられるのか？ 市場は時間帯によって性格を変えます。アジア時間の±2σと、ロンドン時間の±2σは、その重みが全く異なります。天響 Proは独自アルゴリズムにより、セッション毎に最適な感度へ動的に調整されます。 【免責事項】 本ツールは投資助言ではありません。利用による損害に責任は負いかねます。自己責任でご利用ください。
Wskaźnik Pine Script®
od bonno_original
1
Bollinger Band Walker Tenkyo ProBollinger Band Walker Tenkyo Pro "Never miss the start of a Band-Walk again!" The ultimate mission of Tenkyo Pro is simple: to capture the exact moment a trend accelerates. While most traders get trapped by false ±2σ breakouts, this script uses session-adaptive intelligence to filter out the noise and pinpoint the birth of a true trend. ■ Why Tenkyo Pro Captures the "First Move" Market volatility is not constant. A breakout in the quiet Asian session has a completely different meaning than one during the high-volume London open. Session-Adaptive Logic (SAL): The script automatically switches between optimized Bollinger Band periods for the Tokyo, London, and New York sessions. By adjusting the "sensitivity" of the bands to match the current market rhythm, it exposes the genuine "sticky" price action that leads to massive moves. Expansion & Attachment Analysis: Beyond simple price breaks, Tenkyo Pro analyzes band expansion and failed pullbacks to visualize the "moment of conviction" where a trend transitions from a range to a powerful walk. ■ Professional Features Early Detection Engine: Specifically designed to identify the earliest stage of a band-walk across different market phases. Built-in Presets for 15M Charts: Optimized settings for 8 major pairs (GBPJPY, USDJPY, EURUSD, etc.) are pre-loaded, allowing you to replicate professional analysis environments instantly. Expert Testing Options: Includes custom date range filters for rigorous historical validation of your strategies. ver.1.0.1 Disclaimer This indicator is designed to support the trader’s decision-making process and does not provide financial advice. Trading involves significant risk, and past performance is not indicative of future results.
Wskaźnik Pine Script®
od bonno_original
1
BB6-MTF-OverlayBB6-MTF-Overlay (Multi-Bollinger Bands, MTF, Overlay) BB6-MTF-Overlay is a Bollinger Bands overlay indicator that lets you display up to 6 independent BB sets on a single chart, with full MTF (higher timeframe) support. It’s designed for fast multi-timeframe context—so you can see where price is relative to higher-timeframe BB levels (middle / ±1σ / ±2σ / ±3σ) while trading your current timeframe. Key Features Up to 6 Bollinger Band sets displayed simultaneously (overlay) Per BB set: choose Local (current TF) or MTF (higher TF via security) Per BB set: Gaps ON/OFF ON: values may appear only at HTF update points (discontinuous) OFF: HTF values are filled across lower TF bars (step-like) Per BB set: Confirmed Bars Mode ON/OFF ON: uses confirmed HTF values (minimizes repainting) OFF: follows the in-progress HTF bar (useful for discretionary trading) Per BB set: toggle visibility for Middle / ±σ1 / ±σ2 / ±σ3 independently Custom sigma multipliers (e.g., 1.5σ, 0.6σ) for fine tuning Separate switches for Calculation ON/OFF and Display ON/OFF Turn off calculations to reduce load, or hide plots only Typical Use Cases Use higher timeframe (4H/D/W) BB middle and ±1σ as “structure walls” while executing on lower timeframe Combine real-time tracking (e.g., 15m BB with Confirmed OFF) with stable HTF anchors (e.g., Daily/Weekly with Confirmed ON) Keep ±2σ/±3σ OFF by default and enable them only when you need to check range expansion or extremes Default Preset (Initial Settings) BB1: 15m MTF (Confirmed Bars Mode OFF) BB2: 4H MTF (Confirmed Bars Mode OFF) BB3: Daily MTF (Confirmed Bars Mode ON) BB4: Weekly MTF (Confirmed Bars Mode ON) BB5: Monthly MTF (Confirmed Bars Mode ON) BB6: Calculation OFF / Display OFF For all active BB sets: σ1 ON by default, σ2 & σ3 OFF by default Notes With MTF + Confirmed OFF, band values will move until the higher timeframe bar closes (intended for discretionary use). If the chart looks too busy, disable unused BB sets or turn off σ2/σ3. 📌 BB6-MTF-Overlay（ボリンジャーバンド6本・MTF対応・Overlay） BB6-MTF-Overlay は、最大6セットのボリンジャーバンドを同時にチャート上へ重ねて表示できる、MTF（上位足参照）対応のBollinger Bandsインジケーターです。 🕒 15分／4時間／日足／週足／月足など、複数時間軸のボリンジャーを1つのチャートで確認できるため、環境認識（上位足の位置関係）＋現在足の判断をスムーズに行えます。 ✨ 主な特徴 📈 最大6本のボリンジャーバンドを同時表示（Overlay） 🔁 各BBごとに Local（現在足） / MTF（上位足） を選択可能 🧩 各BBごとに ギャップON/OFF（上位足更新点のみ表示／階段状に埋める表示）を切替 ✅ 各BBごとに 確定足モードON/OFF ON：上位足確定値（リペイント最小） OFF：進行中の上位足にも追随（裁量補助向け） 🎚️ 各BBごとに ミドル／±σ1／±σ2／±σ3 を個別に表示ON/OFF 🔧 σ値は自由入力（例：1.5σ、0.6σ など微調整可） ⚙️ 計算ON/OFFと表示ON/OFFを分離 表示だけ消す／計算ごと止めて軽くする、の両方に対応 🧠 想定する使い方（例） 🧱 上位足（4H/日足/週足）のミドル・±1σを「壁」として見て、今の足（5分/15分）での反発・抜けを判断 🏃 「15分BB（確定足OFF）」でリアルタイム追随しつつ、「日足/週足（確定足ON）」で大局の位置を固定して確認 🔍 σ2・σ3は普段OFF、必要なときだけONにしてレンジ幅・伸び代を確認 🧾 デフォルト設定（初期状態） 1️⃣ BB1：15分MTF（確定足モードOFF） 2️⃣ BB2：4時間MTF（確定足モードOFF） 3️⃣ BB3：日足MTF（確定足モードON） 4️⃣ BB4：週足MTF（確定足モードON） 5️⃣ BB5：月足MTF（確定足モードON） 6️⃣ BB6：計算OFF／表示OFF 🎛️ 初期表示は全BB共通で「1σのみON（2σ・3σはOFF）」 ⚠️ 注意事項 🔄 MTFで「確定足モードOFF（追随）」を使用する場合、上位足が確定するまで値が動くため、見え方が変化します（裁量補助向け）。 🧹 表示本数が増えるとチャートが混み合うため、必要なBBだけ表示ONにする運用がおすすめです。
Wskaźnik Pine Script®
od kumono-yoda
Percentile-Based BB% Trend - MattesOverview The Percentile-Based BB% Trend is a robust momentum oscillator that reimagines the classic Bollinger %B indicator using percentile-based bands and median absolute deviation (MAD). Instead of relying on a simple moving average and standard deviation (which can be heavily influenced by outliers), this version builds dynamic bands from the 25th and 75th percentiles of price, creating a noise-resistant framework for measuring where the current price sits relative to its recent distribution. How It’s Calculated Percentile Smoothing : 25th percentile (lower boundary) and 75th percentile (upper boundary) of the selected source. Basis Line : Midpoint between the 25th and 75th percentiles as a robust central measure. Robust Volatility : Median Absolute Deviation (MAD) multiplied by a user-defined factor to set band width. PBB% Value : (Price - Lower Band) / (Band Width), then shifted so the midline is at 0. Trend Line : Light EMA smoothing applied to the raw value and displayed as colored columns. How It Differs From Traditional %B Uses 25th/75th percentiles + MAD instead of SMA + standard deviation → far less sensitive to outliers. More adaptive to real-world skewed price distributions. Stronger noise filtering while staying responsive to genuine momentum. Why It’s Useful Reduced false signals in choppy or spiky markets Clear view of momentum strength and price extension Persistent readings above/below 0 indicate sustained bullish/bearish control Excellent as a trend-strength filter across all asset classes and timeframes Application Examples Trend Confirmation – Midline (0) crossovers confirm direction when paired with trend-following tools. Overextension Warnings – Extreme readings signal potential exhaustion. Momentum Filtering – Avoid entries when oscillator shows weak or overstretched conditions. Divergence Hunting – Spot price making new highs/lows while oscillator fails to confirm. Great inventions require greate care! Not a Standalone Strategy: This indicator is designed as a complementary tool and should always be combined with other forms of analysis (price action, volume, higher-timeframe trend, or additional indicators).Potential Lags in Explosive Moves: The robust calculations and smoothing can slightly delay signals during very strong trends.Parameter Sensitivity: Optimal length and multiplier vary by market and timeframe — backtesting is essential.No indicator guarantees profits; past performance is not indicative of future results. This indicator builds directly on the foundation of the Percentile-Based Bollinger Bands - Mattes, extending its robust methodology into oscillator form for deeper momentum analysis.Shoutout to all my Masterclass Brothers and L4 Gs!
Wskaźnik Pine Script®
od Mattes00
4
Multi-Indicator Scoring TableThis indicator is a comprehensive technical analysis system designed to quantify market sentiment and visualize key dynamic levels. It aggregates signals from 9 different technical indicators into a single "Total Score" while simultaneously plotting a complete roadmap of Support and Resistance levels on your chart. By combining Trend Following (EMAs, PSAR), Momentum (MACD, RSI), and Volatility (Bollinger Bands) metrics, this tool provides traders with an immediate snapshot of market confluence. Above: A clear example of a Strong Bullish Trend (Total Score: 10). Notice how the price is riding above all EMAs, which are acting as dynamic support levels. How It Works The script performs two main functions: it scores the current price action against a basket of technical indicators, and it visualizes these indicators as dynamic interaction zones. 1. Dynamic Support & Resistance Unlike static horizontal lines, this script plots moving averages and volatility bands that adapt to price action. Resistance: Any plotted line (EMA, Bollinger Band, or PSAR) located above the current price acts as a potential Resistance level. These are areas where price may struggle to break through. Support: Any plotted line located below the current price acts as a potential Support level. These are areas where price may find a "floor" and bounce. Above: A Bearish Scenario (Total Score: -10). The EMAs and Bollinger Bands are now above the price, acting as layers of resistance. The table confirms the negative sentiment with red scores. 2. Strategic Application: Adding Liquidity This tool is particularly useful for traders looking to scale into positions (add liquidity) rather than entering all at once. Buying the Dip: When the Total Score is positive, traders can look at the plotted EMAs below the price as "Buy Zones." If the price retraces to the EMA 30 or EMA 65, it may act as dynamic support. Selling the Rip: When the Total Score is negative, the lines above the price act as resistance. A rally back up to the EMA 15 or the Bollinger Basis can be viewed as an opportunity to add to a short position. Above: The "Dist %" column in action. This column calculates exactly how far away the price is from these Support/Resistance levels, helping you gauge if a breakout or a rejection is imminent. 3. The Scoring Logic The dashboard assigns a weighted numerical score to each indicator based on specific bullish or bearish conditions. The Total Score ranges from -10 (Maximum Bearishness) to +10 (Maximum Bullishness). Bollinger Bands: ±2 Points for Reversion (Overbought/Oversold), ±1 Point for Trend (Above/Below Basis). RSI: ±2 Points based on the 50 level. MACD: ±1 Point based on Signal Line crossover. Parabolic SAR: ±1 Point based on trend direction. EMAs: ±1 Point for each of the 5 EMAs (Default: 9, 15, 30, 65, 200). Above: A transitional market phase. The score is mixed (Yellow/Orange), indicating the market is consolidating or reversing. This warns the trader to be cautious. 4. The Dashboard (Table Breakdown) The on-chart table provides a real-time data feed with three columns: Indicator: The name of the tool. EMA labels update dynamically based on your settings. Score: The current contribution of that indicator (Green for Bullish, Red for Bearish). Dist % / Value: Displays the % distance to Support/Resistance or the raw value for oscillators like RSI/MACD. Above: A long-term view (Weekly/Monthly) showing how the indicator helps visualize macro trends and major support levels like the 200 EMA. Settings & Customization The script is fully modular. You can adjust every parameter via the settings menu, organized into specific groups: Bollinger Bands: Adjust Length, Multiplier, and Source. MACD: Tune Fast, Slow, and Signal lengths. RSI: Change Length and Source. Parabolic SAR: Modify Start, Increment, and Max values. EMAs: Individually configure the lengths of all 5 Moving Averages. Disclaimer This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk.
Wskaźnik Pine Script®
od abgthecoder
Institutional Flow X-Ray [Blk0ut]Introduction In the world of quantitative trading, volume is often described as the "fuel" of the market. However, standard volume bars have a major flaw: they show you how much changed hands, but they don't tell you who was in control. The Institutional Flow X-Ray is designed to solve this opacity problem. It looks "under the hood" of every candle to visualize the intent of the Smart Money participants. By combining Volume Price Analysis (VPA), Wyckoff Logic, and Volatility Compression into a single interface, this tool helps traders identify when institutions are quietly accumulating positions (Absorption) before a major expansion occurs. How It Works: The Logic This indicator is not a simple moving average crossover. It aggregates four distinct quantitative models into one composite view: 1. Institutional Flow (The Histogram) Instead of just looking at whether price closed up or down, we calculate the "Intra-Bar Delta." We measure where the price closed relative to the high-low range of that specific candle, weighted by the volume. • The Result: A smoothed momentum oscillator that reveals the internal strength of the trend. • Gradient Coloring: The bars use a 4-color gradient system. Bright Green/Red indicates accelerating momentum, while Darker Green/Red indicates exhaustion or a pullback is likely. 2. Stealth Absorption (The "Gold" Signal) This is based on Wyckoff’s Law of Effort vs. Result. The script scans for a specific anomaly: Volume is significantly higher than average (>2.0x), but Price Range is significantly lower than average. • Why this matters: When you see high volume but no price movement, it often means a large entity is absorbing all available liquidity (Iceberg Orders). These bars are painted GOLD. 3. Volatility Compression (The "Squeeze" Dots) Markets move in cycles of Expansion and Compression. This module compares the width of Bollinger Bands against Keltner Channels. • The Logic: When the Bollinger Bands contract inside the Keltner Channels, the market is like a coiled spring. This measures potential energy. 4. Relative Strength (The Alpha Line) Institutional capital rarely flows into underperforming assets. The script automatically compares your current ticker against a benchmark (SPY for Stocks, BTC for Crypto, DXY for Forex). • The Logic: If the benchmark is dropping, but your ticker is holding steady (Rising Blue Line), it shows Relative Strength, a key footprint of institutional support. ________________________________________ Visual Guide & Usage The Histogram (Flow & Signals) • Green Gradients: Buyers are in control. • Red Gradients: Sellers are in control. • GOLD Bars (Absorption): Be alert. A major player is active. If this happens at Support, it is a high-probability Accumulation setup. • WHITE Bars (Alpha Signal): The "Triple Confluence." This occurs when we have (1) Absorption + (2) Bullish Flow + (3) Relative Strength all activating at once. This is the strongest signal in the system. The Volatility Map (Center Dots) The dots running along the zero line tell you the state of market energy: • 🔴 Red (Extreme Squeeze): Ratio < 0.7. Massive energy build-up. Expect an explosive move soon. • 🟠 Orange (Squeeze): Ratio < 1.0. Standard pre-breakout compression. • ⚪ Gray (Normal): Standard volatility. • 🔵 Blue (Expansion): The move is underway. Volatility is expanding. The Heads-Up Dashboard A professional table in the corner provides real-time quantitative data so you don't have to guess: • Inst. Flow: The raw score (0-100). • Volatility: Tells you exactly which phase the market is in (Squeeze vs. Expansion). • Rel. Strength: Tells you if you are "Outperforming" or "Lagging" the benchmark. ________________________________________
Wskaźnik Pine Script®
od Blk0ut
HLRSI═══════════════════════════════════════════ HLRSI - High-Low RSI ═══════════════════════════════════════════ ## Overview HLRSI (High-Low RSI) is a dynamic RSI indicator that automatically switches between High RSI and Low RSI based on market conditions. This allows traders to focus on the most relevant momentum — bullish momentum in uptrends and bearish momentum in downtrends. ## How It Works - When HL2 RSI is above its Bollinger Band middle line → displays High RSI (based on candle highs) - When HL2 RSI is below its Bollinger Band middle line → displays Low RSI (based on candle lows) This adaptive approach provides clearer signals compared to traditional RSI, which uses only closing prices. ## Components 1. **RSI Line (Purple)**: The adaptive High-Low RSI 2. **RSI HMA (Yellow)**: Hull Moving Average of RSI - acts as a trend filter, similar to MACD signal line 3. **Bollinger Bands (Green)**: Dynamic overbought/oversold boundaries that adapt to volatility ## How to Use ### Trend Identification - RSI above HMA → Bullish momentum - RSI below HMA → Bearish momentum - RSI crossing HMA → Potential trend change ### Entry Signals - **Long**: RSI crosses above HMA near oversold zone or lower Bollinger Band - **Short**: RSI crosses below HMA near overbought zone or upper Bollinger Band ### Overbought/Oversold - RSI touching upper Bollinger Band → Overbought (potential reversal or pullback) - RSI touching lower Bollinger Band → Oversold (potential reversal or bounce) ## Parameters - **RSI Length** (default: 50): Period for RSI calculation - **HMA Length** (default: 200): Period for trend-filtering HMA - **BB Length** (default: 200): Period for Bollinger Bands - **BB Multiplier** (default: 2.8): Standard deviation multiplier ## Tips - Combine with price action or other indicators for confirmation - Adjust BB Multiplier to control sensitivity (lower = more signals, higher = fewer but stronger signals)
Wskaźnik Pine Script®
od i-ki-za-ma
Bollinger BandWidth (Session-Adjusted)Description This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET — 8.5 hours) or individual stocks. Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours. Key Features Session-Adjusted Bollinger Bands: The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets. Bollinger BandWidth (BBW) as Percentage: Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility). Dynamic Expansion and Contraction Levels: Red line: Highest BBW over the selected expansion lookback period (default 25 days) — highlights peak volatility levels. Green line: Lowest BBW over the selected contraction lookback period (default 25 days) — highlights extreme squeezes (low volatility). Fully customizable inputs for session hours, BB parameters, and dynamic level periods. How It Works Session Adjustment: Input session duration (default 8.5 hours). The script calculates approximate candles per trading day for your current chart timeframe. Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data. BBW Calculation: Basis: Simple Moving Average (SMA). Deviation: Multiplier × Standard Deviation. BBW = (2 × Deviation / Basis) × 100. Dynamic Lines: Expansion line uses the same session-adjusted period for highest BBW. Contraction line uses the lowest BBW. Usage and Trading Ideas Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") — periods of low volatility often followed by strong breakouts. High BBW values indicate expansion — trending or volatile phases that may exhaust and lead to consolidation. Squeeze Setup: Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities. Expansion Confirmation: BBW rising above the dynamic high (red) line suggests strong volatility — useful for trend-following or avoiding counter-trend trades. Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias. Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading. This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions. Enjoy the script — feedback welcome!
Wskaźnik Pine Script®
od fpsantoro
BT State, Structure & EnergyBT State, Structure & Energy BT State, Structure & Energy is a market context framework — not a signal generator. It helps traders understand when meaningful outcomes are possible, before interpreting absorption, aggression, or entries. This tool enforces the correct analytical hierarchy used by professional traders. --- Core Concept Markets resolve in layers, not signals. This indicator separates volatility behavior into three distinct components: State (BBWP) → Can something happen? Structure (Keltner Width %) → Is the market opening or compressing? Energy (ATR %) → Is there enough participation to traverse structure? Most traders invert this sequence and fail. This framework does not. --- Indicator Mapping BBWP → State Defines volatility regime and expansion permission. Keltner Width % → Structure Tracks the opening and closing of the market’s price envelope. ATR % → Energy Measures the arrival and decay of kinetic participation. These are non-directional metrics. They describe environment, not bias. --- Visual Design BBWP Columns (Heatmap) Low opacity columns show volatility state without overpowering price. Compression Background Subtle shading highlights regimes where expansion is statistically unlikely. Structure Line (KWP) User-defined base color with light/dark slope variants. Energy Line (ATR %) User-defined base color with light/dark slope variants. Brightness reflects slope (rising or falling), not direction. --- How to Use Start with State If volatility permission is closed, most signals will fail. Then read Structure Structure often opens before state transitions. Then read Energy Energy confirms whether structure can be traversed. Only then interpret Absorption Absorption matters when expansion is allowed. Finally read Aggression Aggression answers who is winning right now . Correct hierarchy: Market State → Absorption → Aggression --- Best Practices Do not use this as an entry signal Use it to filter false breakouts and chop Pair with absorption and order-flow tools Use higher opacity on HTF, lower on LTF Adjust slope length per timeframe (longer on HTF) --- Who This Is For This tool is designed for traders who want to: Understand market condition before acting Avoid chasing activity in compressed regimes Trade with context instead of indicators in isolation If you are looking for buy/sell arrows, this is not the tool. If you want to know where you are , this is exactly the tool. --- BT State, Structure & Energy Understand the environment before interpreting the tape.
Wskaźnik Pine Script®
od bangtrades
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities. Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features: Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands 🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum). 🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal). Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history) Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Wskaźnik Pine Script®
od CryptoPl3be
Professional 3SD Institutional Rejection This indicator identifies institutional "liquidity grab" and "momentum exhaustion" zones using the statistical extremes of 3 Standard Deviations (3SD) on Bollinger Bands. Unlike standard strategies, it doesn't just look for band touches; it confirms price "wicking" outside the 3SD and closing back inside the 2SD band (rejection), while ensuring the Money Flow Index (MFI) shows signs of exhaustion. It is highly effective on 1H, 4H, and Daily timeframes for mean-reversion setups targeting the median line.
Wskaźnik Pine Script®
od PipsPilot
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.
Wskaźnik Pine Script®
od BOSWaves
13