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BG Trix Trend signalovides dynamic long and short signals based on a multi-timeframe candle averaging method. It calculates a four-step average of recent candles to determine the trend and changes candle color accordingly (green for upward, red for downward). Features: Multi-Timeframe Candle Analysis: Combines current and previous candle data to smooth price action. Optional TRIX Filter: Adds a TRIX-based trend filter from a separate timeframe. Only triggers signals when TRIX confirms the trend. Optional Keltner Channel Filter: Prevents signals when the price is inside the Keltner channel. Long signals only trigger above the upper band; short signals only trigger below the lower band. Separate MTF and MA type can be selected for the channel. Visual Signals: Long and short signals are displayed as arrows on the chart. Candle color reflects trend direction. Fully Customizable: Users can enable/disable TRIX and Keltner filters and select MA types and timeframes independently. This indicator is ideal for traders who want clear trend signals while filtering out trades inside key price channels. No exit management is included—signals are purely for entry visualization.
Indicador Pine Script®
por byulenthyulmiev
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic Overview The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum. The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise. This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts. Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation. Theoretical Foundation The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points. The Reduced-Lag CMO augments this foundation with three key mechanisms: Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts. Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics. Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay. The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance. How It Works The Reduced-Lag CMO is constructed through a multi-stage process: Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure. Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator. Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force. Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion. Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition. A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events. Interpretation The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure: Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks. Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness. Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue. Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals. Signal Architecture The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection. Standard Signals - Triangles: Triggered by momentum flips confirmed by velocity. Represent moderate-intensity directional changes. Appear at zero-line crosses or ±50 rejections with aligned velocity. Strong Signals Triangles + Diamonds: Triggered when acceleration confirms the directional change. Represent high-intensity, high-conviction shifts. Rare by design; indicate robust momentum inflections. Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise. Strategy Integration Trend Confirmation : Align zero-line flips with higher-timeframe directional bias. Reversal Detection : Strong signals from ±50 zones highlight potential inflection points. Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum. Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion. Confluence Mapping : Pair with structure-based indicators to filter signals in context. Technical Implementation Details Core Engine : Classical CMO with Ehlers reduced-lag extension Lag Reduction : Dual EMA filtering Smoothing : Optional SMA/EMA/WMA post-filter Multi-Layer Curve : Shadow, midline, main Signal System : Two-tier momentum-acceleration framework Pressure Zones : ±50 statistically validated thresholds Cooldown Logic : Bar-indexed suppression Gradient Mapping : Encodes magnitude and direction Alerts : Standard and strong signals Optimal Application Parameters Timeframes: 1 - 5 min : Intraday momentum tracking 15 - 60 min : Trend rotations & volatility transitions 4H - Daily : Macro momentum exhaustion & re-accumulation mapping Suggested Ranges: CMO Length : 7 - 12 Reduced-Lag Length : 5 - 15 Smoothing : 10 - 20 Cooldown Bars : 5 - 15 Performance Characteristics High Effectiveness: Markets with directional pulses & clean pressure transitions Trending phases with measurable pullbacks Instruments with stable volatility cycles Reduced Edge: Choppy consolidations Ultra-low volatility environments Disclaimer The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Indicador Pine Script®
por BOSWaves
Elliott Wave + SMC Fusion # Elliott Wave + SMC Fusion ## TITLE: Elliott Wave + Smart Money Concepts Fusion --- ## SHORT DESCRIPTION: Automated Elliott Wave pattern detection with Smart Money Concepts confirmation, EWO oscillator integration, and confluence scoring system. --- ## FULL DESCRIPTION: ### 📊 OVERVIEW This indicator combines three powerful trading methodologies into a unified system: - **Elliott Wave Theory** - Automated detection of Wave 1-2 impulse patterns - **Smart Money Concepts (SMC)** - Order Blocks and Fair Value Gaps for institutional confirmation - **Elliott Wave Oscillator (EWO)** - Momentum-based signal validation The core concept is to identify high-probability Wave 3 entries by detecting completed Wave 1-2 structures and validating them with SMC and momentum indicators. --- ### 🔧 HOW IT WORKS **1. Pattern Detection (ZigZag Method)** - Uses pivot high/low detection to identify swing points - Validates Wave 2 retracement using Fibonacci ratios (default: 38.2% - 88.6%) - Requires minimum wave size to filter noise - Applies confirmation bars to avoid premature signals **2. Wave Projections** - Wave 3 target: Fibonacci extension of Wave 1 (default: 1.618) - Wave 4 retracement: Percentage of Wave 3 (default: 38.2%) - Wave 5 projection: Extension of Wave 1 from Wave 4 **3. Smart Money Validation** - **Order Blocks**: Identifies last opposing candle before breakout (institutional footprint) - **Fair Value Gaps**: Detects price imbalances for potential support/resistance **4. EWO Confirmation** - Calculates momentum: (EMA5 / EMA34 - 1) × 100 - Signal line crossovers confirm trend direction - Strong signals occur at extremes (< -13 or > 13 threshold) **5. Confluence Scoring (0-100%)** Points awarded for: - Fibonacci quality of Wave 2 retracement (10-30 pts) - Order Block presence (15 pts) - Fair Value Gap presence (10 pts) - Volume confirmation (10-15 pts) - Trend alignment with EMA50 (10 pts) - EWO confirmation (10-20 pts) --- ### 🎯 UNIQUE FEATURES **Pattern Locking System** - Once a valid pattern is detected, it locks until: - Pattern invalidates (price breaks Wave 0) - Pattern completes (Wave 5 reached) - Auto-timeout (configurable bars) - Prevents rapid signal flipping and false alerts **Signal Stability Controls** - Adjustable cooldown between signals (default: 20 bars) - Minimum bar distance between wave points - Direction change requirement option - Confirmation bars after Wave 2 formation **Visual Wave Tracking** - Solid lines for impulse waves (0→1, 2→3, 4→5) - Dashed lines for corrective waves (1→2, 3→4) - Numbered labels on each wave point - Real-time projection lines to targets **Comprehensive Dashboard** - Current wave status and lock state - Pattern grade (A+ to D based on confluence) - Projected vs actual wave levels (✓ when completed) - SMC confirmation status - Risk/Reward ratio calculation - EWO trend direction --- ### 📈 TRADING APPLICATION **Entry Strategy** - Wait for Wave 1-2 pattern detection (diamond signal) - Check confluence score (>65% = higher probability) - Verify EWO alignment with pattern direction - Enter after 30% retracement of Wave 2 (customizable) **Risk Management** - Stop Loss: Below Wave 0 (with buffer) - Take Profit 1: Wave 3 projection - Take Profit 2: Wave 5 projection - R:R displayed in dashboard **Invalidation Rules** - Price breaks below Wave 0 (bullish) or above (bearish) - Wave 2 level violated before Wave 3 forms - Pattern timeout exceeded --- ### ⚙️ KEY SETTINGS **Elliott Wave** - ZigZag Length: Pivot detection sensitivity - Fib Tolerance: Acceptable retracement range - Min Wave Size: Filter small movements **Signal Stability** - Signal Cooldown: Minimum bars between signals - Lock Pattern Until Invalid: Prevent signal changes - Confirmation Bars: Wait after Wave 2 **Wave Projection** - Wave 3/4/5 Fibonacci extensions - Projection display distance **EWO Settings** - Fast/Slow EMA lengths - Signal smoothing - Strength threshold **SMC Settings** - Order Block lookback period - FVG minimum size percentage --- ### 🔔 ALERTS - New bullish/bearish pattern detected - High confluence setup (>75%) - Pattern invalidation - Wave completion --- ### ⚠️ IMPORTANT NOTES - This indicator identifies **potential** Elliott Wave patterns based on mathematical rules - Elliott Wave analysis is subjective - patterns may be interpreted differently - Always combine with other analysis methods and proper risk management - Past pattern performance does not guarantee future results - Pattern locking prevents repainting but delays new pattern detection - Best used on higher timeframes (1H+) for cleaner wave structures --- ### 📚 METHODOLOGY REFERENCES **Elliott Wave Theory** - Wave 2 typically retraces 38.2% - 88.6% of Wave 1 - Wave 3 is often the strongest, extending 161.8% of Wave 1 - Wave 4 usually retraces 38.2% of Wave 3 - Wave 5 completes the impulse structure **Smart Money Concepts** - Order Blocks represent institutional supply/demand zones - FVGs indicate price inefficiencies that may act as magnets **Elliott Wave Oscillator** - Developed to identify wave momentum - Crossovers signal potential wave transitions - Extreme readings often coincide with wave completions --- ### 🎨 VISUAL ELEMENTS - **Green**: Bullish patterns and projections - **Red**: Bearish patterns and projections - **Orange**: Wave projection levels - **Purple**: Order Block zones - **Yellow**: Fair Value Gaps - **Blue**: Entry levels - **Diamond shapes**: New pattern signals - **Triangle shapes**: EWO crossover signals --- ### 💡 TIPS FOR BEST RESULTS 1. Use on liquid markets with clear trend behavior 2. Higher timeframes produce more reliable patterns 3. Look for confluence scores above 65% 4. Verify EWO alignment before entry 5. Consider market context (overall trend, key levels) 6. Adjust ZigZag length based on your trading style 7. Increase cooldown period for longer-term signals --- **Indicator Type**: Overlay **Markets**: All (Crypto, Forex, Stocks, Commodities) **Timeframes**: All (1H+ recommended) **Style**: Pattern Recognition + Momentum + Price Action
Indicador Pine Script®
por Smart-Day-Trader
Liquidity & inducementsHi all! This indicator will show liquidity and inducements. I will continue to try to add different types of liquidity and inducements, at this moment it contains 6 kinds of liquidity/inducement, they are: • Grabs • Big grabs • Sweeps • Turtle soups • Equal highs/lows (liquidity and inducement) • BSL & SSL And 1 type of inducement: • Retracement This description will contain indicator examples of each individual liquidity and inducement. They will all be with the default settings. Settings First you will find settings for the market structure (BOS/CHoCH/CHoCH+). Select left and right pivot lengths and if the pivots should have a label or not. This is the base foundation of this indicator and is possible with my library 'PriceAction' (). You will see solid lines for break of structures (BOS), change of characters (CHoCH) and change of character plus (CHoCH+). The pivots found will be the core of this indicator and will show you when the closing price breaks it. When that happens a break of structure (BOS) or a change of character (CHoCH or CHoCH+) will be created. The latest 5 pivots found within the current trend will be kept to take action on. A break of structure is removed if an earlier pivot within the same trend is broken and the pivot's high price for a bullish trend or low price for a bearish trend is more extreme than the BOS pivot's price. You are able to show the pivots that are used. "HH" (higher high), "HL" (higher low), "LH" (lower high), "LL" (lower low) and "H"/"L" (for pivots (high/low) when the trend has changed) are the labels used. In the next section ('Liquidity ($$$)') you can select which types of liquidity you want to see. Note that 'Equal highs/lows' can also show inducement (more on that later). In the section afterwards ('Inducement (IDM)') you can select if you want retracement inducements to be visible or not. More information on what they are later on. The section for each individual liquidity and/or inducement can first contain a line named 'Pivot', where you can set the pivot lengths (first left, then right). Then you can set the 'Lookback', which means that the 'Lookback' number of past pivots is to take action on. After that you set the 'Timeframe' for the pivots used. That means that all available liquidity/inducements will be from your desired timeframe. Lastly you set the color of the liquidity/inducement (either a single color or bullish followed by bearish colors). Lastly in the settings you can select the font sizes for the market structure and liquidity/inducements and what style liquidity/inducements lines will have. The sizes defaults to 7 and has a dotted line look. Grabs Liquidity grabs and liquidity sweeps are very similar. It all depends on if the current bar closed above/below the liquidity pivot and on if its a continuation or reversal. In a liquidity grab the bar that's above or below the liquidity pivot was not closed above or below it. Like this: Or The visual feedback will be a dotted line between the liquidity pivot and liquidity grab bar and a linefill between the high of the liquidity grab bar and the liquidity pivot. Indicator example: Big grabs This is another 'grabs' option. You can show an additional grab if you want to. I suggest having this grab from a higher timeframe or with larger pivot lengths than the other grab. The default is with the chart timeframe and 10/10 as pivot lengths. Indicator example: Sweeps A liquidity sweep is like a liquidity grab but with the difference that price closes above/below and has a continuation instead of a reversal. If the liquidity pivot was at the same bar as a BOS/CHoCH/CHoCH+ it will not be a liquidity grab but a structural break instead. They can look like this: Indicator example; Turtle soups If only one candle is beyond the pivot it could be a liquidity grab. It's a grab if price didn't close beyond the liquidity pivot, if so it's invaliditet. Turtle soups are basically false breakouts that takes liquidity (is a false breakout from a pivot with the lengths and timeframe from the settings). The turtle soup can have a confirmation in the terms of a change of character (CHoCH). You can enable this in the settings section for 'Turtle soups' through the 'Confirmation' checkbox (enabled by default). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD). The addition of turtle soups is possible through my script 'Turtle soup' (). The drawing will be a dotted line between the liquidity pivot and the last bar of the false breakout and a box from the start of the false breakout to the end of it. Indicator example: Equal highs/lows Equal highs/lows will always show liquidity, but might also show inducement. Inducement will be shown on equal lows if the trend is bullish and on equal highs if it's bearish, like this: Or Equal highs can only be created if the second pivot is lower than the first one. Equal lows can only be created if the second pivot is higher than the first one. If that is not the case it could be a liquidity grab. When equal highs or equal lows are find that produces inducement (equal lows in a bullish trend and equal highs in a bearish trend), the indicator will first display inducement and will show liquidity once traders are induced to enter the security. Stop loss placement, for liquidity, is 0.1 * the average true range (ATR, of length 14). They will look like this: Only inducement: Inducement and liquidity: Indicator example: Equal highs/lows inducements can not be triggered after a BOS/CHoCH/CHoCH+. They are cleared upon a structural break. BSL & SSL Buyside liquidity (BSL) and sellside liquidity (SSL) will be shown. A pivot that's been mitigated (touched by price) can never be BSL or SSL. The BSL/SSL available will be dynamic while price moves (work in Replay and lower timeframes that moves fast) and pick the latest pivot/s (with left and right lengths from the 'Market structure' section). You can define how many BSL/SSL you want to see with a default value of 1, meaning only 1 BSL and 1 SSL can be shown. If there is no unmitigated high (BSL) or low (SSL), no BSL/SSL will be available to show. If there are BSL/SSL available they're very useful to use as targets for entering a trade. The will look like this when available; And without BSL available: Or And without SSL available: Note that the examples without BSL/SSL available could have liquidity available from previous price legs. This can be an example of a BSL/SSL sequence: First both buyside and sellside liquidity is available: Then a new low appears and new sellside liquidity is available: Then buyside liquidity is mitigated, so only sellside liquidity is available: A new high pivot appears and buyside liquidity is available again: Lastly a bearish CHoCH happens and sellside liquidity is mitigated, only buyside liquidity is available: Retracement The first retracement after a BOS/CHoCH/CHoCH+ is considered an inducement with the mission to get traders into a trade prematurely to get stopped out. This level is shown and look like this: Or A retracement inducement is removed when a new BOS/CHoCH/CHoCH+ appears and it's not triggered. --------------------------- As of now there aren't any alerts available. You cannot use the Pine Screener from Tradingview either to see new liquidity/inducement events. I have this planned for future updates though. I hope that this long description makes sense, let me know otherwise! Also let me know if you experience any bugs or have a feature request or just want to share good settings to use. Best of trading luck!
Indicador Pine Script®
por mickes
5
Volume Peak Box📄 English Description Overview The Volume Peak Box indicator highlights periods of unusually high volume by identifying volume spikes using Bollinger Bands on volume and drawing a price-range box around each spike window. This provides traders with a clear visual representation of supply/demand imbalances, absorption zones, and breakout/false-break areas. All calculations come from one unified concept: detecting statistically significant volume peaks on a locked timeframe and mapping them onto the chart. Concept & Logic 1. Locked Timeframe Volume Analysis Instead of using the current chart timeframe, this script allows users to lock volume analysis to any timeframe (e.g., 60m, 4H, 1D). The script retrieves from the chosen timeframe: Volume High price Low price This allows volume structure from higher timeframes to be used while trading lower timeframes. 2. Bollinger Bands on Volume Volume volatility is analyzed using a standard Bollinger Band model: Basis = SMA(volume, BB length) Upper Band = Basis + (mult × standard deviation) When: Volume > Upper Band → This bar is classified as a Volume Peak. This approach makes the peak detection statistically meaningful, instead of simply comparing raw volume to previous bars. 3. Peak Session Detection (Continuous Peaks Form One Box) The script tracks continuous volume peaks: When a peak starts → begin a session While peaks continue → extend the session When peaks end → session closes and a box is created For each peak session, the script records: Start bar index End bar index Highest high within the session Lowest low within the session These values determine the box boundaries. This allows the indicator to group related peaks into a single price zone, instead of drawing a box for every bar. 4. Drawing the Volume Peak Box When a session ends, the script draws: A filled box covering the full price range From startBar → endBar Using user-defined: Box fill color Border color Each box visually marks a region where strong participation entered the market, often signaling: Breakout validation Absorption zones Supply/demand imbalance High-activity trading decisions How to Use Use the boxes to identify high-volume reaction zones. When price revisits a box: Expect strong reactions (bounce, rejection, or absorption). When price breaks out from a box: Can signal continuation with momentum. Lower-timeframe entry signals become more reliable when aligned with high-timeframe volume boxes. Recommended to lock the TF to: 60m for intraday 4H or 1D for swing trading Why This Script Is Original It uses Bollinger Bands on volume, not price — a less common volatility-based method for detecting volume anomalies. It groups continuous peaks into unified zones instead of treating each spike separately. The ability to lock the volume analysis to a higher timeframe allows multi-timeframe volume interpretation without cluttering the chart. Boxes give traders a clean and intuitive view of volume-based “decision zones”. 🇹🇭 Thai Description — คำอธิบายภาษาไทย ภาพรวม อินดิเคเตอร์ Volume Peak Box ใช้การตรวจจับ “Volume Peak” โดยใช้ Bollinger Band บน Volume แล้วสร้าง “กล่องช่วงราคา” ครอบช่วงที่มี Volume สูงผิดปกติ ทำให้เห็นบริเวณที่มีแรงซื้อขายเข้ามาอย่างชัดเจน เช่น จุด Breakout, จุด Absorption, หรือเขต Supply/Demand แนวคิดและหลักการทำงาน 1. วิเคราะห์ Volume จาก Timeframe ที่ล็อกไว้ คุณสามารถเลือก TF ที่ต้องการให้ Volume ถูกนำมาคำนวณ เช่น 60 นาที, 4 ชั่วโมง, 1 วัน แม้คุณจะเปิดกราฟ TF เล็ก เช่น 5m แต่กล่องยังอิง volume จาก TF ที่เลือกไว้ ทำให้ได้ “โซน Volume ใหญ่” ที่แม่นยำขึ้น 2. Bollinger Band บน Volume ใช้ SMA + ส่วนเบี่ยงเบนมาตรฐานของ Volume เพื่อหา “จุดที่ Volume สูงกว่าปกติอย่างมีนัยสำคัญ” เงื่อนไข Peak: Volume > Upper Bollinger Band นี่เป็นวิธีที่ดีกว่า “เทียบกับแท่งก่อนหน้า” เพราะคิดจากสถิติของทั้งช่วง 3. รวม Peak ต่อเนื่องเป็นกล่องเดียว ถ้า Volume Peak เกิดต่อเนื่องหลายแท่ง: จะถูกจับรวมเป็น Peak session เดียว ใช้ High สูงสุด และ Low ต่ำสุดของทั้ง session เมื่อ Peak จบ → วาดกล่องช่วงราคา เหมาะกับการหาจุดที่ตลาดมีแรงเข้าซื้อ/ขายหนักในช่วงเวลาเดียวกัน 4. วาดกล่อง Volume Peak กล่องจะครอบ: ช่วงแท่งเริ่มต้น → แท่งสุดท้ายของ Peak ความสูงของกล่อง = ช่วงราคาที่มี Volume สูงผิดปกติ กล่องสามารถใช้เป็น: โซน Breakout/Breakdown โซน Supply/Demand เขตที่ราคามักมี reaction วิธีใช้งาน ใช้กล่องเป็น “เขตการตัดสินใจ” (Decision Zone) ราคาแตะซ้ำมักเกิดการกลับตัวหรือความผันผวนสูง การทะลุกล่องบ่อยครั้งนำไปสู่ขาเทรนด์ใหญ่ เหมาะกับการใช้ร่วมกับ Price Action และโครงสร้างราคา จุดเด่น / ความเป็น Original ใช้ Bollinger Band บน Volume (น้อยอินดี้ทำ) รวม Peak ต่อเนื่องเป็น session เดียว วิเคราะห์ Volume ข้าม TF ได้ โดยไม่ต้องเปลี่ยน TF บนกราฟ ได้ “โซน Volume สำคัญ” แบบชัดเจน อ่านง่าย ไม่รกจอ
Indicador Pine Script®
por August_Supertrader
1
Bitcoin AHR999 Indicator AHR999 Indicator The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation. When the AHR999 index is < 0.45 , it indicates a buying opportunity at a low price. When the AHR999 index is between 0.45 and 1.2 , it is suitable for regular investment. When the AHR999 index is > 1.2 , it suggests that the coin price is relatively high and not suitable for trading. In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
Indicador Pine Script®
por CryptoNE0
20 Day Range High/Low (Turtle Soup)This indicator identifies the Highest High and Lowest Low of the last 20 periods (customizable) and projects horizontal support/resistance lines to the right. Unlike standard Donchian Channels or other High/Low indicators that clutter the chart with historical "steps" or extend lines infinitely to the left, this script focuses on chart cleanliness. Key Features: Pivot-Point Start: The lines do not span the whole chart. They start exactly at the candle where the High or Low occurred. Right Extension: Lines extend only to the future, providing a clear visual for potential breakouts or support levels. No Historical Clutter: It does not draw the past movement of the High/Low, keeping your chart clean for price action analysis. Dynamic: As new Highs or Lows are made, the lines instantly update to the new positions. How to Use: Trend Identification: Use the High line as a resistance/breakout level (similar to Turtle Trading strategies). Stop Loss Placement: The Low line of the last 20 days often acts as a trailing stop location for long-term trends. Timeframes: While designed for the classic "20-Day" lookback on the Daily chart, this script works on any timeframe (e.g., finding the 20-hour range on a 1H chart). Settings: Length: Default is 20 bars. You can change this in the settings to any lookback period you prefer (e.g., 50, 100).
Indicador Pine Script®
por mastertrader2873
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.
Indicador Pine Script®
por BigBeluga
10
Smoothed VWAP Bands + EMAsSmoothed VWAP bands With my script, you take the raw standard deviation and apply an EMA (exponential moving Advantages: 1. Less noise: * The bands don’t jump around with every tiny price spike. * Makes it easier to judge real price extremes. 2. Better zone visualization: * Inner and outer bands are smoother and more visually “stable.” * Easier to see meaningful trends, support/resistance, and breakout zones. 3. Fewer fakeouts: * Traders can filter out small false signals because smoothed bands only move when volatility actually changes. 4. Dynamic to volatility: * EMA smoothing keeps the bands adaptive: * In quiet periods, bands tighten. * In volatile periods, bands expand. * But it avoids extreme jitter caused by every micro-move. Safe Zone Rules 1. Long entries (green zone): * Price above VWAP (trend bullish). * Price inside inner band ±1σ (not touching outer extremes). * Optional: candle close confirmation (price fully above inner band). 2. Short entries (red zone): * Price below VWAP (trend bearish). * Price inside inner band ±1σ. * Optional: candle close confirmation. 3. Outer bands (±2σ): * Considered overextended zones → avoid entries to reduce fakeouts. 4. Visual cues: * Safe zones shaded lightly green/red inside inner band. * Outer bands remain unshaded (for context). Here’s a cheat sheet for trading the Smoothed VWAP Bands + EMAs that shows safe entry zones and trend alignment clearly. Smoothed VWAP Bands + EMAs Cheat Sheet Price Action Relative to Bands & EMAs +2σ (Outer Upper Band) ---------------- Extreme volatility zone Avoid entries here +1σ (Inner Upper Band) ---------------- Safe zone limit for longs Consider profit taking here VWAP Line (Green = Bullish, Red = Bearish) ================== Core trend indicator Only trade in VWAP trend direction -1σ (Inner Lower Band) ---------------- Safe zone limit for shorts Good for entries in trend direction -2σ (Outer Lower Band) ---------------- Extreme volatility zone Avoid entries here 1️⃣ Trend Direction with VWAP & EMAs * VWAP → shows the overall session trend. * Price above VWAP → bullish * Price below VWAP → bearish * EMA 5 (blue) → short-term momentum * EMA 20 (orange) → medium-term trend Rule: Only take trades in the direction of the trend: * Long trades → price > VWAP and EMA 5 > EMA 20 * Short trades → price < VWAP and EMA 5 < EMA 20 This prevents chasing trades against the trend and reduces fakeouts. 2️⃣ Entry Zones Using Smoothed VWAP Bands * Inner band (±1σ) → “safe entry zone” * Outer band (±2σ) → volatility extremes → avoid entries here Rule: Enter longs inside the inner band above VWAP and shorts inside the inner band below VWAP. Best used on intraday timeframes. 15, 5, 2, 1 min charts.
Indicador Pine Script®
por Simon20cent
1
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets. What this indicator does The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols. It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution. Core components Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement. Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude. Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups. How it works conceptually 1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish). 2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL. 3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5. 4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation. How to interpret it Above 0: Indicates dominant buying pressure and likely continuation of upward momentum. Below 0: Suggests dominant selling pressure and potential continuation of downward movement. Crosses of 0: Often mark transitions between accumulation and distribution phases. +0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence. [-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling. Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa. Why normalization matters Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can: Compare multiple assets objectively. Set consistent alert thresholds for overbought/oversold regions. Avoid misleading interpretations from absolute oscillator values. Customization and UI Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity. Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more. Visual Toggles: * Show Oscillator : enables or hides the core histogram. * Show Moving Average : adds a smoothed overlay for signal confirmation. * Paint Candles : optional color overlay for chart candles based on oscillator direction. * Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries. How to use it Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one. Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes. Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows). Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent. Alerts Prebuilt alert conditions allow quick automation: Midline crossovers (0): transition between accumulation and distribution. Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion. Signal moving-average crosses for confirmation entries. Tips for use Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns. Use longer normalization periods for position trading, shorter for intraday analysis. In choppy markets, treat 0-line oscillations as noise filters, not trade triggers. Summary The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Indicador Pine Script®
por BackQuant
ICS🏛️ Institutional Confluence Suite (ICS) Indicator The Institutional Confluence Suite is a powerful and highly customizable TradingView indicator built to help traders identify key institutional trading concepts across multiple timeframes. It visualizes essential market components like Market Structures (MS), Order Blocks (OB)/Breaker Blocks (BB), Liquidity Zones, and Volume Profile, providing a confluence of institutional price action data. 📈 Key Features & Components 1. Market Structures (MS) Purpose: Automatically identifies and labels shifts in market trends (Market Structure Shift, MSS) and continuations (Break of Structure, BOS). Timeframe Detection: You can select detection across Short Term, Intermediate Term, or Long Term swings to match your trading horizon. Visualization: Plots colored lines (Bullish: Teal, Bearish: Red) to mark the structures and optional text labels (BOS/MSS) for clear identification. 2. Order & Breaker Blocks (OB/BB) Purpose: Detects and projects potential Supply and Demand zones based on recent price action that led to a swing high or low. Block Types: Distinguishes between standard Order Blocks and Breaker Blocks (OBs that fail to hold and are traded through, often serving as support/resistance in the opposite direction). Customization: Detection Term: Adjusts sensitivity (Short, Intermediate, Long Term). Display Limit: Sets the maximum number of recent Bullish and Bearish blocks to display. Price Reference: Option to use the Candle Body (Open/Close) or Candle Wicks (High/Low) to define the block boundaries. Visualization: Displays blocks as colored boxes (Bullish: Green, Bearish: Red) extending into the future, with a dotted line marking the 50% equilibrium level. Breaker Blocks are indicated by a change in color/line style upon being broken. 3. Buyside & Sellside Liquidity (BSL/SSL) Purpose: Highlights areas where retail stops/limit orders are likely clustered, often represented by a series of relatively equal highs (Buyside Liquidity) or lows (Sellside Liquidity). Detection Term: Adjustable sensitivity (Short, Intermediate, Long Term). Margin: Uses a margin (derived from ATR) to group similar swing points into a single liquidity zone. Visualization: Plots a line and text label marking the swing point, and a box indicating the clustered liquidity zone. 4. Liquidity Voids (LV) / Fair Value Gaps (FVG) Purpose: Identifies areas where price moved sharply and inefficiency was created, often referred to as Fair Value Gaps or Imbalances. These are price ranges where minimal trading volume occurred. Threshold: Uses a multiplier applied to the 200-period ATR to filter for significant gaps. Mode: Can be set to Present (only show voids near the current price) or Historical (show all detected voids). Visualization: Fills the price gap with colored boxes (Bullish/Bearish zones), often segmented to represent the price delivery across the gap. 5. Enhanced Liquidity Detection Purpose: A complementary feature that uses volume and price action to highlight areas of high liquidity turnover, potentially indicating stronger Support and Resistance zones. Calculation: Utilizes a volume-weighted approach to color-grade liquidity zones based on their significance. Visualization: Plots shaded boxes (gradient-colored) around swing highs/lows, with text displaying the normalized volume strength. 6. Swing Highs/Lows Purpose: Directly marks the price points identified as Swing Highs and Swing Lows based on the lookback periods. Timeframe Detection: Can be enabled for Short Term, Intermediate Term, or Long Term swings. Visualization: Plots a small colored dot/label (e.g., "⦁") at the swing point. This indicator is an invaluable tool for traders employing ICT (Inner Circle Trader), Smart Money Concepts (SMC), or general price action strategies, as it automatically aggregates and displays these critical structural and liquidity elements.
Indicador Pine Script®
por SurgeGuru
1
Previous Day Levels @darshaksscThis indicator provides intraday traders and analysts with immediate visual reference to the previous day's high, low, and close. These historical price levels are frequently watched by market participants for potential reaction, context, and session structure. How to Add the Indicator: Open any chart on TradingView. Click the Indicators button at the top. Search for “Previous Day Levels @darshakssc” in the Public Library. Click the ★ Favorite icon if you wish to save it for quick access in the future. Click the indicator’s name to add it to your chart. The lines and labels will appear automatically on any intraday timeframe. What You Will See: Previous day’s High (red line and label: “Previous High”). Previous day’s Low (green line and label: “Previous Low”). Previous day’s Close (blue line and label: “Previous Close”). These are drawn automatically at each new session and remain visible throughout today’s trading. Usage: Use these levels as reference points for context, risk placement, or understanding shifts in session structure. Watch for price interactions, rejections, or consolidations around these lines—they often act as support/resistance for many trading strategies. No signals or trade advice are provided by this tool. All decisions are made manually by the trader. Features: Persistent, color-coded horizontal lines and clear, small labels. No alerts, buy/sell arrows, or any indication of trading performance. Fully automated for each new session—no action required from the user after adding. Disclaimer: This indicator is intended for informational and charting purposes only. It is not financial advice or a buy/sell recommendation. Always perform your own due diligence before making trading decisions.
Indicador Pine Script®
por darshakssc