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Reversal

Mean Reversion V-F V.1I received lot of request to publish better version of Mean Reversion V-F so here you go In V.1 WE going in Long trade after MA falling # of bars The # of bars can be adjust from the settings New calculation for deviations - after the first trade calculation start from close of the bar and so on The first trade is market trade the rest are limit trades so can get to it in any time if the price drop to that deviations level Can be use for crypto and stocks For stocks just enable Use for Stocks and input # of stocks The strategy gave my lot better results and less drown down If any question let my know Happy trading
กลยุทธ์ Pine Script®
โดย fullmax
Reversal MasterKey Features: Dynamic Channel: Smoothed centerline with inner and outer confidence bands that adapt to market volatility using true range Gradient Reversal Zones: 8-level color-coded zones (green gradient) showing distance from equilibrium - darker zones indicate extreme price extension Reversal Alerts: Automated alerts when price crosses into extreme reversal zones (🔴 bear / 🟢 bull signals) Bollinger Bands Overlay: Standard 20-period BB for additional context Visual RSI Display: Top-right corner shows RSI with color-coded bar (green = extreme readings aligned with price position)
อินดิเคเตอร์ Pine Script®
โดย confidencewindow
AI Reversal Signals [Customizable]■ Technical Methodology The AI Reversal Signals engine is a volatility-adaptive execution framework designed to capture mean-reversion opportunities. It utilizes a synchronized filter combining RSI momentum exhaustion with ATR-based dynamic range projection. ■ Key Functional Features Dual-Tier Profit Projection: Unlike standard signals, this script calculates two distinct Take-Profit levels (TP1, TP2) based on ATR multipliers, allowing for scaled-out exit strategies. Intelligent UI Management: Features a "Show Only Last Signal" toggle to maintain chart clarity by dynamically removing obsolete historical labels, optimized for real-time executive decision-making. Full Localization Support: The interface is engineered with a dual-language engine (English/Korean), ensuring accessibility for both local and global trading communities. ■ Execution Guide LONG Entry: Triggered when the RSI crosses above the oversold boundary with bullish price action confirmation. SHORT Entry: Triggered when the RSI crosses below the overbought boundary with bearish price action confirmation.
อินดิเคเตอร์ Pine Script®
โดย wjdtks255
Natural Visibility Graph [UAlgo]Natural Visibility Graph (NVG) is a structure detection indicator that treats price as a time series network. Each bar is interpreted as a node, and nodes are connected if they can “see” each other without intermediate bars blocking the line of sight. This is based on the Natural Visibility Graph concept introduced in complex network theory, where geometric visibility rules convert a time series into a graph. In practical trading terms, NVG measures how structurally important a bar is by counting how many past bars remain visible from it. Bars with high visibility act like pivots that dominate their local environment because they are not easily obstructed by surrounding price action. The script computes this visibility for highs and lows separately, then flags exceptional nodes as hubs using a dynamic, volatility aware thresholding process. The output is a chart overlay that highlights structural peaks and valleys with neon hub markers, draws a horizon style connection to the furthest visible bar, and optionally provides alerts when new hubs appear. It also colors bars according to hub status so structural events stand out instantly. 🔹 Features 1) Natural Visibility Graph Degree for Highs and Lows The indicator calculates an in degree style connectivity score for each bar. Degree represents how many past bars are visible from the current bar under the NVG rule. Highs and lows are handled independently: High graph measures visibility between swing peaks Low graph measures visibility between swing valleys using an inverted obstruction rule This separation helps detect both resistance like peaks and support like valleys without blending them into a single metric. 2) Lookback Controlled Structural Sensitivity Visibility is computed only within a user selected lookback window. Larger values build stronger structural context and produce more selective hubs, but increase computation. Smaller values react faster but focus on local structure. Visibility Lookback directly controls how far the algorithm searches for visible connections. 3) Dynamic Hub Detection with Adaptive Max Degree Instead of using a fixed degree threshold, the script maintains a rolling maximum degree for highs and lows and applies a percentile style threshold. A slow decay mechanism reduces the max gradually over time so the reference level adapts when market structure changes. This keeps hub detection stable across different regimes and helps avoid permanently locking into an old maximum degree that may no longer be reachable. 4) Hub Threshold Percentile Control Hub Threshold defines how strict hub detection is. It is applied as a fraction of the current rolling maximum degree: High hub when degreeH is greater than or equal to maxDegH times threshold Low hub when degreeL is greater than or equal to maxDegL times threshold Higher threshold values mark only the most dominant nodes. Lower values mark more frequent hubs. 5) Neon Web Visual Design The script uses a neon palette to make structural events highly visible: High hubs are marked with a cyan diamond above price Low hubs are marked with a pink diamond below price A dotted horizon beam connects the hub to its furthest visible past node, helping you interpret how far the hub’s influence extends in the visibility sense. 6) Bar Coloring for Instant Structural Context Bars are colored by hub status: Cyan for high hubs Pink for low hubs Muted gray for non hub bars This provides a fast scan view of where the market is producing dominant structural events. 7) Alerts for Structural Peaks and Valleys Alert conditions are provided for both hub types: High Visibility Structural Peak Detected High Visibility Structural Valley Detected These can be used for structural monitoring, swing validation, or confluence with other tools. 🔹 Calculations 1) Natural Visibility Rule for Highs For each past bar i within the lookback, the script checks if the straight line from the current high to the past high is unobstructed by intermediate highs. If no intermediate high reaches or exceeds the projected height on that line, the past bar is visible and the degree increases. Core idea: Current bar at index 0 Past bar at index i Intermediate bars at index k where 1 is the nearest past bar and i minus 1 is just before the past bar Slope and projection: float slope = (high - high ) / float(i) for k = 1 to i - 1 float y_projected = high - (slope * k) if high >= y_projected isVisible := false break If isVisible remains true, degreeH increments and furthestVisIdxH is updated to i, so the script remembers the furthest visible connection for drawing. 2) Natural Visibility Rule for Lows Lows use the inverted valley logic. A past low is visible from the current low if intermediate lows do not fall at or below the projected line, because deeper lows block visibility in a valley sense. float slope = (low - low ) / float(i) for k = 1 to i - 1 float y_projected = low - (slope * k) if low <= y_projected isVisible := false break If visible, degreeL increments and furthestVisIdxL records the furthest visible low node. 3) Rolling Maximum Degree with Slow Decay The indicator maintains rolling maximum degree values for highs and lows. Periodically it applies a slow decay so that the maximum can adapt downwards over time if structural connectivity decreases: var int maxDegH = 5 var int maxDegL = 5 if bar_index % int(lookback/2) == 0 maxDegH := int(math.max(5, maxDegH * 0.95)) maxDegL := int(math.max(5, maxDegL * 0.95)) maxDegH := math.max(maxDegH, degreeH) maxDegL := math.max(maxDegL, degreeL) Interpretation: The max degree never falls below 5 Decay runs every lookback divided by two bars New degrees update the max immediately if a stronger hub appears 4) Hub Classification A bar becomes a hub if its degree reaches a fraction of the current max degree: bool isHubH = degreeH >= maxDegH * threshold bool isHubL = degreeL >= maxDegL * threshold threshold behaves like a percentile control over the observed maximum connectivity. 5) Hub Markers and Horizon Beam When a hub is detected, the script plots a diamond label and draws a dotted line to the furthest visible bar for that hub type: High hub: label.new(bar_index, high, "◈", textcolor=colNeonCyan, style=label.style_label_down) line.new(bar_index, high, bar_index - furthestVisIdxH, high , style=line.style_dotted) Low hub: label.new(bar_index, low, "◈", textcolor=colNeonPink, style=label.style_label_up) line.new(bar_index, low, bar_index - furthestVisIdxL, low , style=line.style_dotted) Interpretation: The beam represents the furthest confirmed visibility connection and gives a visual sense of the hub’s visibility range. 6) Alert Conditions The script exposes alert conditions tied to the hub booleans: alertcondition(isHubH, "NVG High Hub", "High Visibility Structural Peak Detected") alertcondition(isHubL, "NVG Low Hub", "High Visibility Structural Valley Detected")
อินดิเคเตอร์ Pine Script®
โดย UAlgo
Delta Strike: Order Flow Absorption & Momentum Confirmation**Delta Strike** is a professional-grade quantitative tool designed for traders who prioritize institutional logic over simple price action. It moves beyond traditional "buy/sell" indicators by dissecting the battle between **Passive Absorption** and **Aggressive Initiative** using underlying Order Flow data. ### 🛡️ The Core Philosophy: "Wait for the Trap, Trade the Escape" Markets rarely reverse instantly. **Delta Strike** follows a rigorous two-step verification process to filter out noise and hunt for high-probability institutional footprints: 1. **Phase 1: Institutional Absorption (Left-Side Setup)** The system identifies "Base Bars" where high volume and extreme Delta (passive buying/selling) occur, but price fails to continue. This indicates that a large player is absorbing the current move. 2. **Phase 2: Aggressive Strike (Right-Side Confirmation)** We do not "catch the knife." Instead, the indicator monitors the next **N bars** for a confirmed strike. A signal is only triggered when price engulfs the base bar and is backed by a significant **Active Delta Percentage**, proving that the "absorber" has now become the "aggressor." ### 🚀 Key Technical Features * **Dual-Cycle Volume Matrix**: Unlike standard indicators, Delta Strike analyzes volume across two lookback periods simultaneously (Short-term 20 & Long-term 50). It classifies setups into three categories: * 🔥 **Dual-Cycle Convergence** (Maximum Strength) * ⚡ **Short-term Spike** (Local Volatility) * 🌊 **Macro Volume Surge** (Long-term Accumulation) * **Active Delta Intensity Filter**: Every confirmation bar is evaluated for its "Net Win Ratio." By filtering out low-conviction, low-volume breakouts, it ensures you only follow moves with real institutional backing. * **RSI Environment Guard**: Integrated RSI logic ensures that bottom absorption is only hunted in "Oversold" zones and top absorption in "Overbought" zones, significantly reducing whipsaws in sideways markets. * **Validated SuperTrend (Delta-Sync)**: A modified SuperTrend algorithm that requires a "Delta Handshake." A trend flip is only considered valid if price and Delta move in the same direction, preventing "fake-outs" during low-liquidity periods. ### 📊 Clean & Actionable UI * **Base Bar Highlight**: When a setup is confirmed, the script retroactively draws a **Yellow (Bullish)** or **Fuchsia (Bearish)** box around the original absorption bar. * **Trace Lines**: Dashed lines connect the original institutional entry to your current entry point, providing immediate visual context for the trade's logic. * **Momentum Rating (🐂/🐻)**: * **3 Stars (🐂🐂🐂)**: Extreme Delta Strike (>20% Net Win). * **2 Stars (🐂🐂)**: High Conviction Strike (>10% Net Win). * **1 Star (🐂)**: Standard Confirmation. ### 🔔 Smart Alert System Equipped with a fully customizable alert suite. You can set alerts for: * **Absorption Confirmations** (Long/Short) * **Validated SuperTrend Breakouts** *Note: For the most accurate results, it is recommended to use "Any alert() function call" and set frequency to "Once Per Bar Close" to avoid repainting during intra-bar fluctuations.* --- ### How to use: 1. Look for the ** ** label and highlighted box. 2. Wait for the **Strike icons (🐂/🐻)** to appear within the N-bar window. 3. Combine with your existing Support/Resistance levels for optimal strike rates. ---
อินดิเคเตอร์ Pine Script®
โดย mazmez
1
Liquidity Pools + Sweep Signals [Metrify]If breakouts feel like a scam, it’s because they often function like one. Most charts are taught like they’re a clean story of supply and demand. But real price action is messier: it’s a sequence of tests, traps, and collections. The market doesn’t need to “respect” your line, it needs to find liquidity. And liquidity usually sits in predictable places: swing highs, swing lows, prior reaction points, the levels everyone can see. This Liquidity Sweep Canvas is a market-structure overlay that tracks liquidity pools built from swing highs/lows, then monitors how price interacts with those pools over time (touches → sweeps → breaks/expiry). The goal is not to “predict” — it’s to map where liquidity is parked, highlight when it’s raided with rejection, and keep a clean, visual “canvas” of relevant pools near current market. It builds two sides: SELL liquidity pools (from pivot highs, shown in red) BUY liquidity pools (from pivot lows, shown in teal) Each pool is zoned around the pooled level, merges nearby levels (optional aggressiveness), tracks hits, and can transition through states: Active (building / being respected) Swept (liquidity taken + rejection confirmed) Ended (broken through or expired) Sweep logic in plain terms A sweep is detected when price pierces beyond a pool boundary and then closes back through the pool’s midline in the opposite direction (rejection). Bear sweep (SELL liquidity): price wicks above a SELL pool, then closes back below the pool mid. Bull sweep (BUY liquidity): price wicks below a BUY pool, then closes back above the pool mid. Optionally, you can require a second-step confirmation: Displacement confirm waits for follow-through (within a small window) where price breaks beyond the sweep candle’s reference (with a minimum body size in ATR). This filters some noise, at the cost of being delayed. 🔥 Scoring system (how “quality” is decided) Sweeps are common. Clean sweeps are not. We uses a weighted scoring model (0–100) so you can filter out weak sweeps and keep the ones that show stronger intent. A sweep starts when price penetrates beyond the pool boundary (takes liquidity) and reclaims back inside the zone (closes through the pool mid). From there, a score is built from two layers: ✅ Layer 1 —> Sweep candle “core bundle” (base part) This is computed immediately on the sweep candle (or stored if you require displacement). The base bundle blends: Penetration: how deep the wick pushed beyond the pool in ATR terms (not “deeper is always better”, it’s shaped to reward a realistic sweet spot). Reclaim strength: how much of the candle reclaimed back (close relative to the range). Wick ratio: rejection wick size vs body (controlled by 'Wick Ratio Scale'). Body bias: bullish body for bull sweeps / bearish body for bear sweeps gets rewarded. EMA context: measures whether the sweep is happening with a favorable distance relative to EMA 200. Line age/maturity: longer pools can score differently via a length score, then get penalized by a separate age penalty. 🧠 Layer 2 —> Context add-ons After the base bundle, the final score can include: MSS context: a simple structural reference (recent swing extreme lookback) to rate whether the sweep is happening with useful positioning. Effort score: combines range expansion (ATR) with volume vs volume MA to reward sweeps that show actual participation. Displacement score (optional): if enabled, the sweep is only confirmed after follow-through within a small window. How to use it 1. Build a two-stage decision: location bias, then trigger selection Use pools to decide directional bias before you even consider entries. If price is pressing into SELL pools repeatedly and the dashboard shows dense sell-side activity, your bias shifts toward expecting a sell-side raid (sweep up then rejection) rather than a clean breakout. If price is pressing into BUY pools, same logic for downside raid and bounce. Then decide your trigger style manually: If you trade fast mean reversion, you can use immediate sweeps as the “first alarm” and enter on the reclaim + tight invalidation. If you trade safer confirmation, require displacement confirm, and only act once price has proven it can leave the pool with force. Either way, the script helps you separate where it matters (pools) from where it doesn’t (middle of nowhere). 2. Use hit count to judge liquidity density and trap probability The LP xN hit count is a manual edge if you treat it correctly: more hits generally implies more eyes, more orders, more liquidity, and therefore more potential for a meaningful raid. When you see a pool with high hits near current price, don’t assume it’s “strong support/resistance.” Instead, assume it’s a liquidity magnet. If price repeatedly taps a high-hit pool without breaking cleanly, it often sets up a sweep (stop run + reverse). If price breaks and stays outside with follow-through, that’s not a sweep environment, it’s a continuation environment. So you use hit count to anticipate which levels are likely to be hunted, then use candle behavior + displacement to judge whether the hunt was successful and rejected. 3. Turn sweeps into ‘event markers’ for post-move structure mapping Instead of treating a sweep as “enter now,” treat it as: a structural event happened here. After a sweep prints, manually re-map microstructure: identify the last minor swing before the sweep, then track whether price breaks it (MSS/BOS style) and whether the first pullback respects that break. 4. Use the channel read as a regime filter (premium/discount logic) The nearest pool edges effectively form a liquidity channel. Use it like a regime filter: Inside SELL zone / premium: prioritize short-side narratives Inside BUY zone / discount: prioritize long-side narratives Middle channel: treat as uncertainty, tighten your standards (or step aside). 5. Use scoring as a ‘quality gate’, then you do the narrative check” If you enable scoring, stop thinking of it as “higher score = higher win.” Think of it as a gate that filters out low-effort pokes. Once a high-score sweep prints, manually audit it. 6. Use it as a ‘sweep journal’ to study your market’s behavior A very “pro” use is not trading it at all for a week. Turn on historical traces and sweep markers, and just observe: Which sessions produce the cleanest sweeps? Do high-score sweeps outperform low-score? Do confirmed sweeps reduce chop at the cost of late entries? Does your instrument sweep more on highs or lows? The dashboard counts help you quantify frequency. After you collect observations, you tune inputs (Swing Length, Merge Distance, Minimum Score, Volume thresholds) to match the instrument’s microstructure. This is how you turn a generic sweep concept into a market-specific playbook—and the script becomes your data-driven visual log, not a guessing machine. ⚙️ Tuning tips (fast) Too many pools / too noisy → increase Swing Length / Merge Distance. Sweeps trigger too often → enable Activate Scoring and raise Min Score. Wick quality not valued enough → reduce Wick Ratio Scale. Effort scoring feels too easy/hard → adjust Min Volume / MA and Volume MA Length. A higher score is not a guarantee of a better trade, it simply means the sweep event matched more of the model’s criteria (penetration, reclaim, rejection wick, effort, context components, and optional displacement). Markets are adaptive: what high quality looks like changes by instrument, timeframe, and session. Use scoring to reduce noise, then manually validate.
อินดิเคเตอร์ Pine Script®
โดย Metrify
5
Heiken Ashi Break of Structure with Market Structure [by Hampeh]Description This indicator is designed to identify high-probability trading entries by combining the trend-smoothing capabilities of Heiken Ashi candles with the powerful concept of a Break of Structure (BOS). To enhance signal quality and reduce false signals, it incorporates a mandatory market structure confirmation filter, requiring a Higher Low (HL) to be established before a buy signal and a Lower High (LH) before a sell signal. The indicator automatically provides dynamic Stop Loss levels and generates real-time alerts to streamline the trading process. How It Works The indicator's logic is built upon several key components that work together to filter for high-quality setups. 1. Heiken Ashi Foundation The script uses Heiken Ashi candles as its foundation to reduce market noise and provide a clearer visualization of the underlying trend. This smoothing effect makes it easier to identify sustained directional moves. 2. Break of Structure (BOS) Identification The core entry trigger is a Break of Structure, defined as: Bullish BOS (Buy Signal): The indicator first identifies a downtrend phase (red Heiken Ashi candles). It marks the opening price of this phase (redOpen). A buy signal is triggered when the trend reverses (turns green) and the Heiken Ashi close price breaks above this redOpen level. Bearish BOS (Sell Signal): Conversely, it identifies an uptrend phase (green Heiken Ashi candles) and marks its opening price (greenOpen). A sell signal is triggered when the trend reverses (turns red) and the Heiken Ashi close price breaks below this greenOpen level. 3. Market Structure Confirmation (HL/LH Filter) This is the key filter that validates the strength of a potential new trend: Higher Low (HL) for Buys: A buy signal is only considered valid if the low point of the most recent downtrend phase is higher than the low point of the previous downtrend phase. This confirms a classic "Higher Low" market structure, indicating that buying pressure is increasing. Lower High (LH) for Sells: A sell signal is only considered valid if the high point of the most recent uptrend phase is lower than the high point of the previous uptrend phase. This confirms a "Lower High" structure, suggesting that selling pressure is building. 4. Dynamic Stop Loss Calculation The indicator provides a logical and dynamic Stop Loss for every signal: For Buy Signals: The Stop Loss is automatically placed just below the lowest low (lowestLow) recorded during the entire preceding downtrend (red candle) phase. For Sell Signals: The Stop Loss is placed just above the highest high (highestHigh) recorded during the entire preceding uptrend (green candle) phase. 5. Signal Generation and Visualization A final BUY signal is generated only when all conditions are met: a bullish BOS occurs and it is preceded by a confirmed Higher Low. A final SELL signal is generated only when all conditions are met: a bearish BOS occurs and it is preceded by a confirmed Lower High. When a valid signal is triggered, a label appears on the chart displaying the entry price and the calculated Stop Loss. A corresponding alert is also fired with detailed trade information. Summary of Strategy In essence, this indicator waits for a pullback (a Heiken Ashi color change), confirms that the pullback respects bullish or bearish market structure (HL or LH), and then triggers an entry upon a Break of Structure in the intended direction. Disclaimer : This indicator is a tool for technical analysis and does not guarantee profits. Trading financial markets involves significant risk. Always conduct your own research and practice proper risk management.
อินดิเคเตอร์ Pine Script®
โดย Hampeh
Donchian Ribbon [UAlgo]Donchian Ribbon is a chart-overlay Donchian Channel ribbon that visualizes multiple lookback lengths at the same time. Instead of plotting a single Donchian Channel, the script builds a fixed stack of channels that increase in length and blends them into a clean, layered ribbon above and below price using progressive fills. The goal is to make market structure and regime easier to read without clutter: - When the ribbon expands and stays orderly (fast boundaries leading, slow boundaries following), it often reflects sustained range expansion and more directional flow. - When the ribbon compresses and bands overlap frequently, it typically reflects consolidation, rotational behavior, and reduced clarity. - The slowest channel provides the structural “outer frame” of the market’s recent range, while shorter channels react first and show how quickly the range is shifting. This indicator is designed as a context tool. It does not attempt to “predict” direction by itself, but it gives a high-quality visual map of evolving highs/lows across multiple sensitivities so you can align entries, risk, and expectations with the current regime. 🔹 Features 1) Multi-Length Donchian Stack (Ribbon Engine) The script constructs several Donchian Channels from a Base Length and a Step Length. Each band represents a different sensitivity level: - Fast bands respond quickly to recent highs and lows. - Slow bands respond more conservatively and define broader containment. By stacking these lengths together, you can see short-term responsiveness and higher-level structure simultaneously. 2) Two-Sided Ribbon (Upper and Lower Envelopes) The indicator visualizes both sides of the Donchian framework: - Upper ribbon is built from stacked Donchian highs (highest highs per length). - Lower ribbon is built from stacked Donchian lows (lowest lows per length). This keeps interpretation intuitive: price pressing into the upper ribbon suggests pressure toward recent highs, while leaning into the lower ribbon suggests pressure toward recent lows. 3) Gradient Depth via Layered Fills (Clean Charts) Instead of drawing many lines, the script fills the space between consecutive bands. Transparency is gradually adjusted from the fast band to the slow band, producing a smooth depth effect that stays readable even on busy charts. Intermediate plots are intentionally hidden so the ribbon remains the main visual output. 4) Regime Readability (Expansion vs Compression) Because each band has a different lookback length, the ribbon naturally communicates volatility and state: - Expansion: spacing between fast and slow bands increases, commonly seen in stronger directional phases. - Compression: spacing collapses and bands cluster, commonly seen in ranges, pauses, or choppy rotation. This helps you quickly decide whether to treat price action as breakout-oriented, trend-continuation, or mean-reverting. 5) Trend Baseline Reference (Slow Midpoint) A baseline is plotted using the midpoint of the slowest channel. This provides a stable reference that helps you judge whether price is operating in the upper or lower half of the broader range structure. 🔹 Calculations 1) Donchian High, Low, and Midpoint Per Band Each Donchian band is computed from its own length: - High = highest high over the lookback length - Low = lowest low over the lookback length - Mid = average of High and Low id.high := ta.highest(id.length) id.low := ta.lowest(id.length) id.mid := math.avg(id.high, id.low) 2) Length Sequencing (Base Length + Step Length) The indicator creates a fixed number of bands. Lengths are built as: - Band 1: base_length - Band 2: base_length + step_length - Band 3: base_length + 2 * step_length - ... - Final band: base_length + (ribbon_count - 1) * step_length This yields a consistent progression from fast to slow sensitivity. int len = base_length + (i * step_length) channels.push(DonchianChannel.new(len)) 3) Iterative Updates with Arrays and Methods All bands are stored in an array and updated every bar using a unified method call. This ensures every band follows identical rules and makes the logic scalable and maintainable. for dc in channels dc.update() 4) Upper Ribbon Construction (Layered Fills Between Highs) The upper ribbon is created by filling between consecutive Donchian highs. Each layer uses the same upper tone with progressively stronger visibility toward the slow band. fill(p_fast_high, p_mid1_high, color.new(col_upper, 90), "Ribbon Upper 1") fill(p_mid1_high, p_mid2_high, color.new(col_upper, 80), "Ribbon Upper 2") fill(p_mid2_high, p_mid3_high, color.new(col_upper, 70), "Ribbon Upper 3") fill(p_mid3_high, p_slow_high, color.new(col_upper, 60), "Ribbon Upper 4") 5) Lower Ribbon Construction (Layered Fills Between Lows) The lower ribbon is created by filling between consecutive Donchian lows with the lower tone, again using progressive transparency. fill(p_fast_low, p_mid1_low, color.new(col_lower, 90), "Ribbon Lower 1") fill(p_mid1_low, p_mid2_low, color.new(col_lower, 80), "Ribbon Lower 2") fill(p_mid2_low, p_mid3_low, color.new(col_lower, 70), "Ribbon Lower 3") fill(p_mid3_low, p_slow_low, color.new(col_lower, 60), "Ribbon Lower 4") 6) Trend Baseline (Slow Midpoint) The baseline is the midpoint of the slowest Donchian band, plotted as a stable center reference for the broadest range framework. plot(dc_slow.mid, "Trend Baseline", color = color.from_gradient(0.5, 0, 1, col_lower, col_upper), linewidth = 2) 7) Visualization Choice (Hidden Internals, Visible Structure) To keep charts clean, most intermediate plots are hidden and the ribbon fills do the heavy lifting visually, while the slow boundaries remain visible as the outer frame. p_fast_high = plot(dc_fast.high, "Fast High", color = color.new(col_upper, 80), display = display.none) p_fast_low = plot(dc_fast.low, "Fast Low", color = color.new(col_lower, 80), display = display.none) p_slow_high = plot(dc_slow.high, "Slow High", color = color.new(col_upper, 50)) p_slow_low = plot(dc_slow.low, "Slow Low", color = color.new(col_lower, 50))
อินดิเคเตอร์ Pine Script®
โดย UAlgo
Absorption ReversalAbsorption Reversal detects institutional absorption patterns at the extremes of a trading range. When price reaches a range boundary, large limit orders from institutional players can "absorb" aggressive market orders — this creates a characteristic candle with high volume and a long rejection wick. The indicator identifies these setups and waits for confirmation before signaling a reversal. Free & Open Source — no invite-only access, no paywall. Full source code, fully transparent. ## The Concept: What Is Absorption? In order flow terms, absorption occurs when resting limit orders at a price level absorb incoming market orders without allowing price to break through. This is a core concept in Wyckoff analysis (Effort vs. Result) and institutional trading: - High volume (Effort) + small price movement / long wick (no Result) = absorption - The wick shows that price was pushed to the extreme but immediately rejected - This typically happens at range boundaries where institutional players defend levels The indicator automates this detection process with quantifiable rules. ## How It Works The signal generation follows a strict 6-step process: Step 1 — Range Detection: A Donchian Channel (highest high / lowest low) defines the current trading range boundaries. Step 2 — Range Width Filter: The channel width must be below its own average — confirming the market is sideways/contracting, not expanding into a trend. Step 3 — ADX Trend Filter: Wilder's ADX must be below the threshold (default 25) — no strong trend active. Absorption setups work best in range-bound markets. Step 4 — Proximity Check: Price must be in the upper or lower proximity zone of the range (default: outer 15%). Absorption in the middle of a range is meaningless. Step 5 — Absorption Bar: A candle that shows: - Volume spike (default 1.5x average — significant participation) - Long rejection wick (default 66% of candle range — strong rejection) - Located at the range extreme (within proximity zone) Step 6 — Confirmation: Within the next N bars (default 3), a follow-up candle must close back inside the range in the expected reversal direction. No confirmation = no signal. ## Chart Elements - Range Lines — Donchian Channel upper (red) and lower (green) boundaries - Proximity Zones — Optional shaded areas showing where absorption signals can trigger - Orange Diamonds — Absorption bars detected (before confirmation) - Green/Red Triangles + BUY/SELL Labels — Confirmed reversal signals only ## Dashboard The real-time dashboard displays: - Market Regime — Range or Trending (based on ADX + channel width) - ADX Value — Current trend strength with classification - Range Width — Contracting or Expanding - Position — Where price sits in the range (Near High / Near Low / Middle) - Volume — Current volume relative to average + spike detection - Pending — Active absorption bars awaiting confirmation (with countdown) ## Settings Range Detection: Donchian Channel Length (default 20), Proximity Zone % (default 15%) Trend Filter: ADX Filter ON/OFF (default ON), Range Width Filter ON/OFF (default ON) Absorption Criteria: Min Wick/Range Ratio (default 0.66), Volume SMA Length (default 20), Volume Spike Multiplier (default 1.5x) Confirmation: Max Confirmation Bars (default 3) ## Alerts 4 alert conditions: - Absorption Buy Signal — confirmed bullish reversal at range low - Absorption Sell Signal — confirmed bearish reversal at range high - Bullish Absorption Detected — absorption bar found, awaiting confirmation - Bearish Absorption Detected — absorption bar found, awaiting confirmation ## Best Used For - Identifying high-probability reversal setups at range boundaries - Spotting institutional absorption activity via volume + wick analysis - Range-trading strategies with clear entry signals - Confluence tool alongside other indicators - Works on all instruments: stocks, forex, crypto, futures, indices ## Technical Notes - Pine Script v6 (latest version) - Signals on confirmed bars only — no repainting - State-based confirmation logic - Open source, no external dependencies - All inputs have tooltips ## Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. No signals should be interpreted as buy or sell recommendations. Past performance is not indicative of future results. Always implement proper risk management. Trade at your own risk.
อินดิเคเตอร์ Pine Script®
โดย alphachart_tv
Trend Strategy Flip📌 Trend Strategy Flip — Adaptive Trend‑Following System with Smart Flip Logic (Built on the L1 Proximal Filter concept by LuxAlgo) Trend Strategy Flip is an adaptive trend‑following system built on top of the L1 Proximal Filter, a concept originally introduced by LuxAlgo. This strategy expands the idea with multi‑mode entries, smart flip logic, breakeven automation, and a clean visual HUD for real‑time decision support. The result is a lightweight, responsive trend engine suitable for both discretionary and automated trading. 🔍 Core Concept The system uses the L1 Proximal Filter to extract a smooth, noise‑resistant trend line (z) and its velocity (v). This allows the strategy to detect: Confirmed trend reversals (Mode A) Early entries via price cross or velocity shift (Mode B1/B2) Next‑bar confirmation entries (Mode C) When the trend flips, the strategy can automatically reverse the position. ✨ Key Features ✔ Built on the L1 Proximal Filter (LuxAlgo concept) A robust, adaptive trend extraction method. ✔ Multiple Entry Modes Choose between confirmed, early, or next‑bar entries. ✔ Smart Flip Logic Automatically reverses positions on trend change. ✔ Breakeven Protection Dynamic breakeven activation with a semi‑transparent BE line. ✔ Compact HUD (Top‑Right Corner) Displays: Current position Entry price Live PnL (%) Last flip direction Breakeven status Bars since entry ✔ Optional Trend Background Soft diagonal gradient (lightweight imitation) for visual trend context. ✔ Clean Visual Markers Entry arrows, flip markers, trend line, and BE line. ✔ Alerts Included Ready for automation or webhook‑based execution. 🎯 Use Cases Trend‑following systems Reversal/flip strategies Automated execution via alerts Swing and intraday trading Strategy research and optimization ⚠️ Notes This strategy is based on the L1 Proximal Filter concept by LuxAlgo, extended with additional logic and visualization. For educational and research purposes only. Always test before using in live trading.
กลยุทธ์ Pine Script®
โดย olegask68
Reversal Probability Rows [LuxAlgo]The Reversal Probability Rows tool identifies historical price zones where reversals have frequently occurred and calculates the statistical probability of a reversal happening at those levels based on the distribution of pivot points. 🔶 USAGE The indicator segments the price range of a specified lookback period into several horizontal rows. Within each row, it calculates the density of historical tops (Pivot Highs) and bottoms (Pivot Lows) relative to the total number of pivots found within the entire lookback range. Users can interpret the probability boxes to the right of the price as follows: 🔹 Bearish Reversal Zones (Red Boxes) When the current price is below a specific row, the indicator treats that row as potential resistance. The percentage displayed represents the probability of a bearish reversal occurring there, based on how many historical tops fell within that row compared to the total number of tops in the lookback period. 🔹 Bullish Reversal Zones (Green Boxes) When the current price is above a specific row, the indicator treats that row as potential support. The percentage represents the probability of a bullish reversal, based on how many historical bottoms fell within that row compared to the total number of bottoms in the lookback period. 🔹 Current Price Row When the current price is moving within a specific row, the indicator identifies whether that zone has historically been more prone to tops or bottoms. It will display the dominant reversal type (the higher probability of the two) and color the box accordingly (Red for tops, Green for bottoms). 🔶 DETAILS The script segments the "Range Period" (defined by the highest high and lowest low of the lookback) into equidistant rows. It then scans the lookback period for pivot points based on the "Pivot Sensitivity" setting. The probability calculation follows a distribution-based approach: Probability % = (Number of Pivots of Type X in Row / Total Number of Pivots of Type X in Lookback) * 100 The visual intensity (transparency) of the boxes is determined by the "weight" of the row; rows containing the highest frequency of pivots appear more solid, while rows with fewer historical reversals appear more transparent. 🔶 SETTINGS 🔹 Calculation Settings Range Period : The number of historical bars used to define the high/low range and gather statistical data. Number of Rows : The vertical resolution of the visualization. More rows create smaller, more specific price zones. Pivot Sensitivity : The number of bars required on each side of a high or low to classify it as a reversal point (Pivot). 🔹 Visualization Settings Show Pivot Markers : Toggles the visibility of the "•" markers on the chart that represent the historical tops and bottoms used in the calculation. Box Width (Bars) : Adjusts the horizontal width of the probability boxes projected to the right of the current bar. Row Highlight Color : The background color and border style of the calculation grid area.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
Dynamic RSI Level + Divergence [Metrify]This script provides a customized approach to tracking RSI divergence by replacing static overbought and oversold levels with dynamic volatility bands. Standard oscillators often fail during strong trends by staying pinned above 70 or below 30, producing premature signals. To handle this, the indicator calculates a moving baseline for the RSI and wraps it in standard deviation bands. This allows the overbought and oversold boundaries to adapt to the current market situation. Does the divergence delayed? No. The divergence label is printed exactly at the bar where the condition becomes valid. There is no forward confirmation or repaint shifting. This honest approach may produce losing signals in strong trends, but it preserves the integrity of real-time detection. Divergence filters (optional, set this to 0 to avoid the filter): Min RSI Diff (Steepness) -> requires sufficient vertical gap between RSI pivots to avoid weak, flat divergences. Min Price Diff -> minimum price to move a meaningful distance (relative to ATR) between both pivots.
อินดิเคเตอร์ Pine Script®
โดย Metrify
VWAP Reversal Strategy V1🔹 VWAP Reversal Strategy V1 by COT-Trader.com The VWAP Reversal Strategy V1 is a selective intraday framework designed to capture structured pullbacks to VWAP after a confirmed breakout. It focuses on quality over frequency and integrates volatility, confirmation and optional higher timeframe bias filtering. This strategy is part of the systematic trading research published at 👉 cot-trader.com 📌 Core Concept Markets frequently break above or below VWAP (fair value), only to retest it before continuation. This strategy trades that sequence: Long Setup Price breaks above VWAP A retest of VWAP occurs within a defined number of bars A bullish confirmation candle forms Optional filters align Entry at confirmation Short Setup Mirrored logic below VWAP (can be disabled). 📊 Built-In Filters To increase selectivity, the following filters can be enabled: • Rejection wick confirmation • Volume spike confirmation • Minimum ATR-based distance from VWAP • Optional H1 VWAP directional bias All filters are configurable. ⚙ Risk Management The strategy uses: • ATR-based Stop Loss • ATR-based Take Profit • Maximum trades per day limit • Optional session filter The goal is consistency and controlled exposure rather than high trade frequency. 🧠 Intended Use Designed for intraday timeframes (typically 15–30 minutes). Works best in structured, liquid markets. Extensive debug markers can be enabled for research purposes. ⚠ Disclaimer This script is published for educational and research purposes only. It does not constitute financial advice. Always test strategies in simulation before using real capital.
กลยุทธ์ Pine Script®
โดย DerAndi72
2
Adaptive Harmonic Forecast [LuxAlgo]The Adaptive Harmonic Forecast indicator decomposes price action into multiple cyclical components and a linear trend to forecast future market movement. By extracting the most dominant frequencies from recent price data, the tool projects a multi-harmonic model into the future to identify potential reversal points and trend continuations. 🔶 USAGE The indicator provides a mathematical projection of price action based on the assumption that markets exhibit cyclical behavior. Users can utilize the forecast to anticipate upcoming shifts in momentum or to identify the underlying trend direction. It is important to note that the forecast is dynamic and recalculates on the most recent bar; therefore, it is best used to confirm momentum shifts when price action aligns with the projected harmonic direction. 🔹 Historical Fit & Forecast The script displays a solid line over the historical lookback period, representing how well the harmonic model fits the actual price data. Beyond the current bar, a dotted line extends the forecast. This forecast is color-coded: green represents projected upward movement, while red represents projected downward movement. The forecast should be viewed primarily as a timing tool rather than an exact price target, as it projects where the "rhythm" of the market is heading based on current harmonics. 🔹 Trend Line & Reversal Markers A linear trend line is calculated alongside the sinusoids to show the overall bias (slope) of the lookback period. Additionally, the indicator can plot reversal markers (dots) at the specific points where the forecasted cycles reach a peak or trough. These markers highlight potential future turning points where the composite cycles converge to create a local maximum or minimum. 🔹 Detected Cycles Table The "Detected Cycles" dashboard allows traders to identify if current price action is dominated by short-term "noise" cycles or larger "structural" cycles. By observing the period lengths (in bars), users can determine the frequency of market swings. If the detected periods are small relative to the lookback, the market is in a high-frequency state; if they are large, the market is exhibiting more stable, long-term cyclicality. 🔶 DETAILS The script operates through a two-step mathematical process involving spectral analysis and matrix-based regression: Periodogram Logic (Cycle Detection): The indicator first detrends the data within the lookback window using a linear fit. It then performs a spectral analysis by scanning a range of periods to calculate "spectral power" (the correlation between price and a specific frequency). It identifies "spectral peaks" where price variance is most concentrated, ensuring that only the most meaningful cycles are selected for modeling rather than random noise. Multi-Harmonic OLS Regression: Once the dominant periods are identified, the script uses Ordinary Least Squares (OLS) regression to solve for the coefficients of a linear combination of basis functions. Specifically, it constructs a model consisting of multiple sine and cosine waves (representing the cycles) and a first-order polynomial (representing the trend). By solving the normal equation using matrix math, the script finds the optimal amplitudes and phases that minimize the squared error against historical price. This composite model is then solved for future time coordinates to create the extrapolation. 🔶 SETTINGS 🔹 Settings Fit Lookback (N): Determines the number of historical bars used to analyze cycles and fit the model. Extrapolation Bars: Sets how many bars into the future the forecast should extend. Number of Sinusoids: The maximum number of individual cycles to include in the composite model (1-10). 🔹 Automatic Cycle Detection Min Period: The shortest cycle length (in bars) the algorithm is allowed to detect. 🔹 Visuals Show Reversal Dots: Toggles the markers at forecasted local highs and lows. Dot Size: Adjusts the visual scale of the reversal markers. Show Detected Periods: Toggles the data table showing the lengths of the dominant cycles. 🔹 Trend Line Show Trend Line: Toggles the display of the underlying linear regression line. Trend Line Color: Sets the color for the historical and projected trend line.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
11
Harmonic Resonance Oscillator [LuxAlgo]The Harmonic Resonance Oscillator indicator provides a specialized oscillator that decomposes price action into multiple harmonic cycles to identify confluence in market rotations. By isolating short, medium, and long-term frequencies, the tool aims to pinpoint exhausted price movements and potential reversal zones through the concept of cyclic resonance. 🔶 USAGE The Harmonic Resonance Oscillator can be used to identify market turning points by observing when the aggregate cycle resonance reaches extreme levels. Unlike standard oscillators that rely on a single lookback period, this tool aggregates multiple filtered cycles to provide a more robust view of market momentum and exhaustion. When the oscillator enters the dynamic overbought (upper) or oversold (lower) zones, it indicates that the various price cycles are aligning at an extreme, often preceding a corrective move or a trend reversal. 🔹 Harmonic Multipliers The script uses a Reference Period combined with three multipliers to define the cycles: The Short Multiplier captures fast, intraday-style fluctuations. The Medium Multiplier focuses on the primary trend rhythm. The Long Multiplier tracks broader market cycles. When all three cycles reach peak or trough levels simultaneously, the oscillator displays a "resonance" peak, which is highlighted by background coloring if the signal exceeds the dynamic thresholds. 🔶 DETAILS The indicator is built upon three primary technical pillars: 🔹 Ehlers' Bandpass Filter At its core, the indicator uses John Ehlers' Cycle decomposition method. The bandpass filter is designed to pass only price components within a specific frequency range while attenuating everything else. This allows the script to "tune in" to specific market rhythms without the lag typically associated with moving averages. 🔹 Normalization & Resonance Each isolated cycle is normalized onto a scale of 0 to 100 using a specific lookback length. The final "Harmonic Resonance" signal is the arithmetic mean of these three normalized cycles. A value of 50 represents a neutral state, while values approaching 0 or 100 represent extreme harmonic alignment. 🔹 Dynamic Volatility-Adjusted Zones The Overbought and Oversold thresholds are not static. They adjust dynamically based on the standard deviation of the resonance signal. During periods of high cyclic volatility, the bands expand to require stronger confluence for a signal; during low volatility, the bands contract to stay sensitive to smaller market rotations. 🔶 SETTINGS 🔹 Harmonic Settings Reference Period: The base period used to calculate the harmonic cycles. Short Multiplier: Multiplier applied to the reference period for the short-term cycle. Medium Multiplier: Multiplier applied to the reference period for the medium-term cycle. Long Multiplier: Multiplier applied to the reference period for the long-term cycle. Bandwidth: Controls the "tightness" of the bandpass filter. Lower values isolate specific cycles more precisely. 🔹 Normalization Settings Normalization Lookback: The window used to scale the cycles and calculate the volatility of the resonance signal. 🔹 Overbought / Oversold Control Overbought Threshold: The base level for the upper dynamic zone (default 80). Oversold Threshold: The base level for the lower dynamic zone (default 20). 🔹 Style Bullish Color: Color of the oscillator when above the 50 midpoint. Bearish Color: Color of the oscillator when below the 50 midpoint. Overbought Color: Color of the upper dynamic threshold. Oversold Color: Color of the lower dynamic threshold. Show Background Highlighting: Toggles the background coloring when resonance reaches extreme levels.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
3
Volume-Range Anomaly Breakout [AlgoPoint]The Volume-Range Anomaly (VRA) Breakout system is a specialized trading tool designed to detect "Absorption" and "Hidden Institutional Activity" in the market. Unlike traditional trend indicators that lag behind price, this script focuses on the relationship between Effort (Volume) and Result (Price Range) to identify explosive moves before they happen. 1. The Underlying Logic (VRA Theory) In a normal market environment, high volume should result in a large price range (a big candle). However, anomalies occur when: - Volume is Extremely High (High Effort) - Price Range is Extremely Low (Low Result) What does this mean? This specific anomaly indicates that "Smart Money" or large institutions are absorbing liquidity using passive Limit Orders. They are aggressively buying or selling, but they are preventing the price from moving to accumulate a position without slippage. This is often called " Squat " behavior or " Absorption. " When this compression phase ends, the price typically explodes (Breakout) in the direction of the dominant institutional pressure. 2. How It Works The indicator operates in three distinct phases: 1. Detection Phase (The Anomaly): - The script calculates Relative Volume (RVOL) and Relative Range (R-Range) over a user-defined lookback period. - If Volume > Threshold AND Range < Threshold , the bar is identified as a " Whale Candle " and colored PURPLE. This signifies hidden activity. 2. Setup Phase (The Trap): - Once a Purple Candle is detected, the script automatically draws dynamic Support (Green Dotted) and Resistance (Red Dotted) lines based on that candle's High and Low. - These lines represent the "Battle Zone" where the absorption took place. 3. Execution Phase (The Breakout): - The script waits for a confirmed candle CLOSE outside of this zone. - BUY Signal : Price closes above the Whale Candle's High. - SELL Signal : Price closes below the Whale Candle's Low. 3. How to Use This is a complete breakout system. Step 1: Wait for the Setup (Purple Bar) When a purple bar appears, do not enter immediately. This is a warning that volatility is compressing. Step 2: Wait for the Breakout (Signal) Green Label: Enter a Long position when the price confirms a breakout above the resistance line. Red Label: Enter a Short position when the price confirms a breakout below the support line. Step 3: Risk Management (Stop Loss) For Longs: The invalidation level (Stop Loss) is the Bottom of the Purple Candle (Green dotted line). For Shorts: The invalidation level (Stop Loss) is the Top of the Purple Candle (Red dotted line). 4. Settings - Lookback Period: The window used to calculate average volume and range (Default: 20). - Volume Threshold: How many times higher than the average must the volume be? (Default: 1.5x). - Range Compression: How compressed must the candle be relative to the average? (Default: 0.8x - meaning 80% of average size or smaller). - Breakout Window: How many bars after the anomaly should the script wait for a breakout before canceling the setup? (Default: 5). 5. Alerts The script includes 2 custom alert conditions for automation: - Whale BUY Breakout: Triggers on a confirmed upside breakout. - Whale SELL Breakout: Triggers on a confirmed downside breakout.
อินดิเคเตอร์ Pine Script®
โดย Iamalala
5
Squared9 Pro v1Squared9 Pro v1.0 (strategy) combines classic Gann geometry with modern momentum checks to find high-conviction reversal zones. The strategy requires: 1. Price to be within a user-defined percentage of Gann levels (based on recent pivot highs/lows and Square of Nine calculations). 2. Divergence on Stochastic and/or MACD (price and indicator moving in opposite directions). 3. Current price to respect the trend direction on a higher timeframe EMA. 4. A candle with a strong body relative to its range. Here's what it looks for: - Price is close to important Gann levels (calculated from recent swing highs/lows using Square of Nine math — shown as colored horizontal lines). - Stochastic and MACD indicators show divergence (price makes new high/low but indicators do not — a classic reversal clue). - The overall trend on a higher timeframe (default 4-hour) supports the trade direction via a 50-period EMA filter. - The current candle has a strong directional body (not a doji or tiny range — minimum body size is adjustable). When these line up, a green triangle appears below the bar for a potential long entry, or a red triangle above for short. Stop-loss and take-profit are set automatically using ATR multiples (default 1.7× for stop, 3.2× for target), with an optional trailing stop. All settings (lookback periods, tolerances, ATR multipliers, etc.) can be changed in the inputs panel. This script is designed for traders who want confluence-based signals rather than relying on a single indicator. Feedback is welcome.
กลยุทธ์ Pine Script®
โดย RU55IANROUL3TT3
Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages). Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy. The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation. How It Works - The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs. Crucially, the math is causal (no lookahead), meaning it does not repaint. - Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model: - Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend. - Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold). Signal Generation: - Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event. - Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias. How to Use It - Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline. - Green Signal: Potential Long (Reversal from Lows). - Red Signal: Potential Short (Reversal from Highs). - Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level. If price is holding above the baseline and the cloud is green, the trend is Bullish. If price is holding below the baseline and the cloud is red, the trend is Bearish. - Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout. Settings - Lookback Window: Determines the depth of the Kernel analysis. - Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping). - Regression Alpha: Controls the weight distribution of the Kernel. - Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
อินดิเคเตอร์ Pine Script®
โดย Iamalala
10
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history. 1. The Kernel Physics (Bandwidth Modulation) In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA. A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends. It try solving this by making h a function of the Asset's volatility ratio: heff​=h×max(0.5,min(SMA(ATR20​,100)ATR20​​,2.0)) If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal. vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0 vol_mod = math.max(0.5, math.min(vol_ratio, 2.0)) h_eff = h_val * vol_mod 2. The Gaussian Loop (Endpoint Estimation) Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate. We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi​, we calculate a weight wi​ based on how far away it is in time (distance). The weight is derived from the Gaussian Kernel function: wi​=exp(−2heff2​i2​) Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0. for i = 0 to lookback by 1 float dist = float(i) float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2))) num := num + w * src den := den + w 3. Statistical Deviation (MAE vs. StDev) Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars. This one use Mean Absolute Error (MAE) instead. MAE=N1​∑∣Price−y^​∣ MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash. Pine Script float error = math.abs(src - y_hat) float mae = ta.sma(error, lookback) We project two sets of bands: Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk. Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE). Input & Visual Summary Kernel Physics: h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother. use_vol: Keep this TRUE. It prevents the bands from being too tight during news events. Envelope Statistics: mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
อินดิเคเตอร์ Pine Script®
โดย Metrify
Cyberpunk Pattern Engine⚡ Cyberpunk Pattern Engine: Neon Technical Analysis Upgrade your chart aesthetics while maintaining surgical precision. The Cyberpunk Pattern Engine is a high-performance pattern recognition script designed to identify classic reversal formations with a futuristic, neon-soaked visual style. 🛠️ Key Features ・Automated Pattern Detection: Real-time identification of four major price action structures: 　・Double Top (DT) - Neon Pink 　・Double Bottom (DB) - Neon Cyan 　・Head & Shoulders (H&S) - Neon Green 　・Inverse H&S (iH&S) - Neon Gold ・Cyber-Visuals: Uses the linefill engine to create semi-transparent glowing triangles, making chart patterns instantly recognizable without cluttering your price action. ・Dual-Language Support: Toggle labels between English and Japanese with a single click. ・Sensitivity Control: Adjust the "Pivot Period" and "Max Difference %" to filter out market noise and find only the most textbook-perfect setups. 🚀 How to Use 1. Pivot Period: Larger values find long-term trends; smaller values find scalp opportunities. 2. Max Difference: Controls how "equal" the tops/bottoms must be. Decrease for strict perfection, increase for more frequent signals. 3. Confirmation: The engine paints the completed pattern once the price crosses the neckline (confirmation level). 日本語版 (Japanese Description) ⚡ Cyberpunk Pattern Engine: ネオン・テクニカル・エンジン チャート分析に「美学」と「精度」を。Cyberpunk Pattern Engineは、伝統的なチャートパターンを検出し、近未来的なサイバーパンク・スタイルで可視化する高性能インジケーターです。 🛠️ 主な機能 ・自動パターン検出: 主要な4つの反転パターンをリアルタイムで識別します： 　・ダブルトップ (DT) - ネオンピンク 　・ダブルボトム (DB) - ネオンシアン 　・三尊 / Head & Shoulders (H&S) - ネオングリーン 　・逆三尊 / Inverse H&S (iH&S) - ネオンゴールド ・サイバー・ビジュアル: linefill機能を駆使し、半透明の光る三角形で描画。チャートの視認性を損なうことなく、瞬時に形状を把握できます。 ・2ヶ国語対応: ラベル表示を日本語と英語で切り替え可能。 ・感度カスタマイズ: 参照期間（Pivot Period）や許容誤差（Max Diff %）を調整することで、ノイズを排除し、自身のトレードスタイルに最適な形状のみを抽出できます。 🚀 使い方 1. 参照期間 (Pivot Period): 数値を大きくすると長期足レベルの大きな波を、小さくするとスキャルピング向けの小さな波を検出します。 2. 許容誤差: 頂点や肩の高さがどれくらい揃っていればパターンとみなすかを調整します。厳格な判断には数値を下げてください。 3. 確定条件: 価格がネックラインをブレイクし、パターンが完成したタイミングで描画が実行されます。
อินดิเคเตอร์ Pine Script®
โดย ken5_5489
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps. I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies. My CPR OI tool kit includes following. Triple EMA Stochastic - for trend catching Previous Low/high base trial and visual indication Price action concepts Reversion logic. Visual indication - buy / sell / setup initialization / exit Visual dashboard. --- ## 🎨 Visual Signal Guide | Marker | Meaning | Action | |--------|---------|--------| | 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout | | 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** | | 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** | | 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** | | 💧 Aqua "R" | Mean reversion long | Scalp opportunity | | 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity | --- ## 💰 Open Interest Interpretation | Status | Price vs Prev | OI Change | Meaning | |--------|---------------|-----------|---------| | **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions | | **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions | | **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) | | **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) | --- ## 🔔 Alerts (All Enabled by Default) 1. "LONG Signal | Stochastic confirmed | EMA Bullish" 2. "SHORT Signal | Stochastic confirmed | EMA Bearish" 3. "EMA Alignment: BULLISH/BEARISH" 4. "Position CLOSED - Trailing Stop Hit" ---
อินดิเคเตอร์ Pine Script®
โดย trade_crush
8
Breaker Blocks Signals [AlgoAlpha]🟠 OVERVIEW This script automates the detection of Breaker Blocks, a popular smart money concept used to identify high-probability reversal zones. It monitors price action for aggressive impulses—measured through a normalized Z-Score—to identify Orderblocks. When these blocks are "broken" or invalidated by price moving through them, they transform into Breaker Blocks. These zones act as "flipped" support or resistance, offering traders specific areas to look for retests and trend continuations. By handling the complex management of zone life-cycles and mitigation, this script provides a clean, real-time map of institutional supply and demand shifts. 🟠 CONCEPTS The indicator relies on the relationship between price momentum and structural invalidation. It first identifies "impulsive" candles by calculating a Z-Score of price distance covered over a specific window. A Z-Score above 4 marks an "Algorithmically Significant" move. When such a move occurs, the script identifies the last opposite-colored candle (the Orderblock) and draws a gray zone. The transformation happens when price closes entirely through one of these gray zones. This "mitigation" is what triggers the creation of a Breaker Block: an old bearish supply zone becomes a bullish demand zone, and vice versa. This transition reflects a shift in market regime where previous trapped participants are forced to exit, often leading to price rejections at these newly formed levels. 🟠 FEATURES Automated Breaker Transformation : Instantly flips mitigated Orderblocks into colored Breaker Blocks (Bullish/Bearish). Rejection Markers : Small arrow icons appear when price enters a Breaker Block and shows signs of respect/reversal. Comprehensive Alerts : Notifications for both the formation of new breakers and real-time price rejections. 🟠 USAGE Setup : Add the script to your chart. It is effective on most timeframes, but many traders prefer the 15m or 1h for intraday structure. Use the "Z-Score Window" to adjust sensitivity; 100 is standard, but lower values (e.g., 50) will find more frequent, smaller impulses. Read the chart : Gray boxes are "Pending" blocks. If price closes above a gray bearish box, it turns into a Bullish Breaker (Green). If price closes below a gray bullish box, it turns into a Bearish Breaker (Red). Look for price to return to these colored zones; the "▲" and "▼" symbols indicate the script has detected a rejection from that level. Settings that matter : Prevent Overlap is useful for avoiding "cluttered" zones in ranging markets. Max Box Age is critical; it ensures that very old, irrelevant zones are removed from your chart after a set number of bars, keeping your technical analysis current and focused on recent price action.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
13
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants. 🔶 USAGE This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants. When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up. When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up. As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend. Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached. Due to the oscillator being normalized, overbought and oversold levels are included. In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step: 1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up. 2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging. 3. Uptrend: The same as before. Bullish above 80 and bearish below 20. 4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback. 5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging. 6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up. 7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback. 8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up. This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas. As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend. From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default. The chart shows how different values affect bullish and bearish measures. 🔶 SETTINGS Length: Select the maximum number of highs and lows to be used. 🔹 Style Bullish: Select a color for unreached lows. Bearish: Select a color for unreached highs. Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color. Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
5