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Trendpattern

8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices). 1. Trend & Bias Filter • Overall bullish when: Price > VWAP and 8 EMA > 21 EMA • Overall bearish when: Price < VWAP and 8 EMA < 21 EMA VWAP adds volume context — many ignore EMA signals against the VWAP side. 2. Crossover Signals (Primary Entries) • Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP) • Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP) VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it. 3. Pullback / Retest Entries (Higher Probability) • In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce. • In a downtrend: Wait for rallies to the 8 EMA → short the rejection. VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Индикатор Pine Script®
от Cag100
1
Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard. 🔍 How It Works The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously. 1. The Trend Scoring Engine The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes. Bullish Alignment: Fast EMA > Slow EMA. Bearish Alignment: Fast EMA < Slow EMA. 2. The Harmony Summary At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market: 🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend. 📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend. ⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade. Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish). 🛠 Key Features Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once. Dynamic Table: Real-time tracking of: Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages. Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise. Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy. 📈 Trading Strategy Tips Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red. The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again. RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent.
Индикатор Pine Script®
от ebecihalil
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time. The script identifies four structural states based on price behavior and trend continuity: • T — Trend Start • E — Trend Extension • H — Structural High / Low • X — Trend Exit / Reversal This indicator is intended for market structure analysis and educational purposes only. It does NOT provide trading signals, buy/sell recommendations, or investment advice. All labels are generated based on historical price data and do not predict future market movements. Users should combine this tool with their own analysis and risk management framework. This script is provided "as is" with no guarantee of accuracy or performance.
Индикатор Pine Script®
от UIA_Institute
Trend Break Targets [MarkitTick]Trend Break Targets Trend Break Targets is a technical analysis tool designed to assist traders in identifying trendline breakouts and projecting potential price targets based on market geometry. Unlike fully automated indicators that guess trendlines, this tool provides you with precise control by allowing you to manually Pivot Point the trendline to specific points in time, while automating the complex math of target projection and structure mapping. Theoretical Basis & Concepts This indicator is grounded in classic technical analysis principles found in foundational trading literature. It automates the following methodology: Drawing a trend line between two key points to represent dynamic support or resistance. Identifying a breakout when the price closes above or below this line, potentially signaling a change in trend. Calculating a price target by measuring the vertical distance between the breakout line and the last high/low (pivot), then projecting that same distance in the direction of the breakout. This concept is based on methods and "Measured Move" theories explained in classic books such as "Technical Analysis of Stock Trends" by Edwards & Magee, "Technical Analysis of the Financial Markets" by John Murphy, and in Thomas Bulkowski's Price Pattern Studies. How It Works Pivot Pointed Trendline Construction The script draws a trendline between two user-defined points in time (Start Date and End Date). It calculates the slope between these points and extends the line infinitely to the right, allowing you to define the exact structure (e.g., a resistance trendline on a wedge). Breakout Detection The script monitors the "Price Source" (High, Low, or Close) relative to the extended trendline. A Bullish Breakout (BC) occurs when the Close crosses above a bearish trendline. A Bearish Breakout (BC) occurs when the Close crosses below a bullish trendline. Dynamic Target Projection (The Math) Upon a confirmed breakout, the script automatically calculates three distinct targets by identifying the most significant "Swing Point" (Pivot) prior to the breakout. Distance (D): The vertical distance between the Trendline and the Pivot Price at the specific bar where the pivot occurred. Target 1 (T1): The Breakout Price +/- (Distance × 1.0). This represents a classic 1:1 measured move. Target 2 (T2): The Breakout Price +/- (Distance × 1.618). Based on the Golden Ratio extension. Target 3 (T3): The Breakout Price +/- (Distance × 2.618). Market Structure (CHOCH) The script includes an optional Change of Character (CHOCH) module. This runs independently of the trendline logic, identifying local Swing Highs and Swing Lows based on the "Swing Detection Length." It plots dashed lines and labels to visualize immediate shifts in market structure. How to Use This Tool This is an interactive tool that requires user input to define the setup. Identify a Setup: Locate a clear trend, wedge, or flag pattern on your chart. Set Pivot Points: Go to the Indicator Settings. Input the exact Start Date and End Date corresponding to the two main touches of your trendline. Monitor for Breakout: The script will extend the line. Wait for a "BC" label to appear. Trade Management: Once "BC" prints, the T1, T2, and T3 lines will instantly render. These can be used as potential take-profit zones or areas to tighten stop-losses. Settings & Configuration Indicator Settings Start/End Date: The timestamp Pivot Points for your trendline. Price Source: Determines what price (High or Low) Pivot Points the line and triggers the breakout. Pivot Left/Right: Adjusts the sensitivity for finding the "Pivot Before Break" used for target calculations. Extend Target Line: How far forward the target lines are drawn. Visual Style Colors: Fully customizable colors for the Trendline, Breakout Labels, and each Target level (T1, T2, T3). Gold Bullish Reversal This analysis dissects a confirmed bullish reversal on Gold using a custom Trend Break system. The setup identifies a transition from a bearish corrective phase to bullish momentum, validated by a structural break and a geometric target projection. Trend Identification (The Pivot Points) The descending white trendline serves as the primary dynamic resistance, defining the bearish correction. Pivot Points: The line is drawn connecting two significant swing highs, marked by Label 1 and Label 2. Logic: These points represent the "lower highs" characteristic of the previous downtrend. As long as price remained below this trajectory, the bearish bias was intact. The Trigger: Breakout & Confirmation The transition occurs at the candle marked BC (Breakout Candle). Breakout Criteria: The indicator logic dictates that a signal is only valid when the bar closes above the trendline. This filters out intraday wicks and ensures genuine buyer commitment. CHOCH Confluence: Immediately following the breakout, a CHOCH (Change of Character) label appears. This signals a shift in market structure, indicating that the internal lower-high/lower-low sequence has been violated, adding probability to the reversal. Target Projection: The Measured Move The vertical green lines (T1, T2) represent profit objectives derived from the depth of the prior move. The logic calculates the distance between the breakout line and the lowest pivot prior to the break. T1 (Standard Target): This is a 1:1 projection of the pre-breakout volatility. We see price action initially stalling near this level, confirming it as a zone of interest. T2 (Golden Ratio Extension): The second target is calculated as the initial distance multiplied by 1.618 (Fibonacci Golden Ratio). The chart shows the price rallying aggressively through T1 to tap the T2 zone, often considered an exhaustion or major take-profit level in harmonic extensions. Conclusion Gold has successfully invalidated the 4-hour bearish trendline. The confluence of a confirmed close above resistance (BC) and a structural shift (CHOCH) provided a high-probability long setup. The price has now fulfilled the T2 (1.618) extension, suggesting traders should watch for consolidation or a reaction at this key Fibonacci resistance level. Bearish Trendline Breakdown The image displays a Bearish Trendline Breakdown on the Gold (XAUUSD) 4-hour chart. The indicator is actually functioning in "Low" mode here (connecting swing lows to form support), which triggers the bearish logic found in the code. Here is the step-by-step breakdown: The Setup: Pivot Points & Trendline Visual: The Blue Labels "1" and "2" connected by a white diagonal line. Code Logic: These are the user-defined start and end points. Pivot Point 1 (startDate): The starting pivot of the trendline. Pivot Point 2 (endDate): The ending pivot. Trendline: The code draws a line between these two points and extends it to the right (extend.right). In this specific image, the line acts as a Support Trendline. The Trigger: Break Candle (BC) Visual: The Red Label "BC" appearing just below the white trendline. Code Logic: This is the execution signal. The code detects a "Down Break" (dnBreak) because the Price Source was likely set to "Low" and the candle's Close was lower than the Trendline Price at that specific bar (close < currLinePrice). This confirms the support level has been breached. The Projection: Targets (T1 & T2) Visual: The Green Labels "T1" and "T2" with dotted horizontal lines projected downward. Code Logic: These are profit targets based on a "Measured Move." Pivot Calculation: The script looks back for a recent "Pivot High" (the peak before the crash) to calculate the volatility/distance (dist) between that peak and the trendline. T1 (Conservative): The price is projected downward by 1x that distance (currLinePrice - dist). T2 (Extended): The price is projected downward by 1.618x that distance (Golden Ratio extension). Market Context: CHOCH Visual: The small Red/Orange "CHOCH" labels appearing above the price action. Code Logic: This is a secondary confirmation system running independently of the trendline. It detects a Change of Character (structural shift). The red labels indicate a "Bearish CHOCH," meaning the price broke below a significant prior swing low (last_swing_low). This supports the bearish bias of the trendline break. Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Индикатор Pine Script®
от MarkitTick
4
Trend detection zero lag Trend Detection Zero-Lag (v6) Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals. This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly. Core Features 🔹 Zero-Lag Trend Engine Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages. Provides earlier trend shifts while maintaining smoothness. 🔹 Multi-Factor Trend Detection Trend direction is determined using a hybrid engine: HMA slope (momentum direction) Rising / falling confirmation Swing structure detection (HH/HL vs LH/LL) ATR-adjusted dynamic sensitivity This approach allows fast flips when conditions change, without excessive noise. Adaptive Volatility Sensitivity Sensitivity dynamically adjusts based on ATR relative to price In high volatility: faster reaction In low volatility: smoother, more stable trend state This ensures the indicator adapts across: Trend days Range days Volatility expansion or contraction Trend Duration Intelligence The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases. From this, it calculates: Current trend duration Average historical duration for the active trend direction This helps traders gauge: Whether a trend is early, mature, or extended Probability of continuation vs exhaustion Strength Scoring A normalized Trend Strength Score (0–100) is calculated using: Zero-lag slope magnitude ATR normalization This provides a quick read on: Weak / choppy trends Healthy trend continuation Overextended momentum Visual Design Color-coded Zero-Lag HMA Bullish trend → user-defined bullish color Bearish trend → user-defined bearish color Designed for dark mode / neon-style charts Clean overlay with no clutter Trend Detection Zero-Lag is built for traders who need: Faster trend recognition Adaptive behavior across market regimes Structural confirmation beyond simple moving averages Clear, actionable visual signals
Индикатор Pine Script®
от MomentumCraft_
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke 🌑 SYSTEM OVERVIEW The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets. This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms. Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods. 🧬 WHAT IS ? MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed. By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook. 🔗 CONNECT WITH THE PROJECT: If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order: • 📂 Official Project Site: hakanovski.github.io • 🐍 MPL Source Code (GitHub): github.com • 👨‍💻 Developer Profile (LinkedIn): www.linkedin.com 🔢 THE ALGORITHM: 452 - 204 - 50 The inputs for this script are mathematically derived signatures of the intelligence governing the system: 1. THE PAIMON TREND (Gravity) • Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge). • Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset. • Price > Line: Bullish Domain. • Price < Line: Bearish Void. 2. THE ASTAROTH SIGNAL (Trigger) • Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic. • Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory. 3. THE VOLATILITY MATRIX (Scalp) • Origin: Based on the 9th Harmonic reduction. • Function: Creates a "Cloud" around the signal line to visualize market noise. 🛡️ THE MILON GATE (Matrix Filter) Unique to this script is the "MILON Gate" toggle found in the settings. • ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise). • ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter. ⚠️ OPERATIONAL USAGE • Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts. • Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear. Use this tool wisely. Risk responsibly. Let the harmonics guide your entries. — Hakan Yorganci Technomancer & Full Stack Developer
Индикатор Pine Script®
от hknyrgnc
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Стратегия Pine Script®
от mbedaiwi2
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL) 1. Introduction & Concept The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states: - Trend direction and strength (from a grid of prime‑period EMAs). - Volume regime (expansion, contraction, climax, dry‑up). - Order‑flow bias via delta (buy versus sell volume). - A combined scenario label that summarises how these three layers interact. The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator. 2. Volume Settings Group: “Volume Settings” A. Calculation Method - Geometry (Source File) – Default mode. Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data. - Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data. B. Intrabar Resolution (If Precise) - Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform. When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format: - Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data. In Geometry mode this counter simply reflects the processed bars in the current session. 3. Kinetic Vector Settings Group: “Kinetic Vector” A. Vector Window - Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length. - Shorter windows make the state engine more reactive and sensitive to local swings. - Longer windows make the states more stable and better suited to higher‑timeframe structure. B. Max Prime Period - Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles. - A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure. - A lower limit focuses the analysis on short- and medium‑term behaviour. C. Price Source - Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic. 4. State Engine Settings Group: “State Engine Settings” These inputs define how the continuous vectors are translated into discrete states. A. Trend Thresholds - Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”. - Weak Trend Threshold – Inner boundary between neutral and directional conditions. Roughly: - |trend| < weak → Neutral trend state. - weak < |trend| ≤ strong → Bullish/Bearish. - |trend| > strong → Extreme Bullish/Extreme Bearish. B. Volume Thresholds - Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation). - Volume Expansion Threshold – Boundary for normal expansion versus contraction. Conceptually: - Volume above “expansion” indicates increasing activity. - Volume near or above “climax” marks extreme participation. - Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states. C. Delta Thresholds - Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta. - Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow. Combined with the sign of the delta vector, these thresholds classify order flow as: - Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell. D. State Hysteresis Bars - State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour. - Smaller values switch states quickly; larger values demand more confirmation. 5. Visual Interface Group: “Visual Interface” A. Ribbon Base Color - Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons. B. Show Dashboard - Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart. C. Color Theme - Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme. D. Table Position - Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right). E. Table Size - Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming. F. Show Extended Info - Show Extended Info – Adds diagnostic rows under the main state summary: - Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window. - Values – Displays the current aggregated vectors: - P: price vector - V: volume vector - B: buy‑volume vector - S: sell‑volume vector - D: delta vector Values are bounded between ‑1 and +1. - Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers. - Footer – A final row with the symbol and current time: #SYMBOL | HH:MM. These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes. 6. Language Settings Group: “Language Settings” - Select Language – Switches the entire dashboard between English and Turkish. The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated. 7. Dashboard Structure & Reading Guide The table summarises the current situation in a few rows: 1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”). 2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.). 3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish). 4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal. 5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar. 6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above. Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions. 8. State Taxonomy The state engine organizes market behaviour in three stages. 8.1 Trend States (from the Price Vector) - Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside. - Bullish Trend – Upward bias is present, but less extreme. - Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid. - Bearish Trend – Downward bias, with the EMA grid sloping down. - Extreme Bearish Trend – Strong downside alignment across the grid. 8.2 Volume Regime States (from the Volume Vector) - Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction. - Volume Expansion – Activity above normal but below the climax threshold. - Neutral Volume – No major expansion or contraction versus recent history. - Volume Contraction – Activity is drying up compared with the past. - Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage. 8.3 Delta Behaviour States (from the Delta Vector) - Extreme Buy Delta – Buying pressure dominates strongly. - Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme. - Neutral Delta – Buy and sell flows are roughly balanced. - Sell‑Dominant Delta – Selling pressure dominates. - Extreme Sell Delta – Aggressive, one‑sided selling. 8.4 Combined Scenario State s EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals. Trending Scenarios 1. Trending Buy Confirmed - Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta. - Educational idea: a healthy uptrend where both participation and order flow agree with the direction. 2. Trending Buy – Weak Volume - Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side. - Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile. 3. Trending Sell Confirmed - Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta. - Educational idea: strong downtrend with both volume and order‑flow confirmation. 4. Trending Sell – Weak Volume - Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side. - Educational idea: downside continues but with limited participation; vulnerable to short‑covering. Sideways / Range Scenarios 5. Sideways Balanced - Neutral trend, neutral delta, neutral volume. - Classic range environment; low directional edge, suitable for observation and context rather than trend trading. 6. Sideways with Buy Pressure - Neutral trend, but buy‑side delta is dominant or extreme. - Range with latent accumulation: price may still appear sideways, but buyers are quietly more active. 7. Sideways with Sell Pressure - Neutral trend with dominant or extreme sell‑side delta. - Distribution‑like environment where price chops while sellers are gradually more aggressive. Exhaustion & Volume Extremes 8. Exhaustion – Buy Risk - Extreme bullish trend, volume climax and strong buy‑side delta. - Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off. 9. Exhaustion – Sell Risk - Extreme bearish trend, volume dry‑up and strong sell‑side delta. - Suggests one‑sided selling into increasingly thin liquidity. 10. Volume Climax (Buy) - Neutral trend, neutral delta, but volume at climax levels. - Often associated with a “big event” bar where participation spikes without a clear directional commitment. 11. Volume Climax (Sell / Dry‑Up) - Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up. - Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses. Divergences 12. Divergence – Bullish Context - Bullish or extreme bullish trend, but delta has faded back to neutral. - Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections. 13. Divergence – Bearish Context - Bearish or extreme bearish trend with a neutral delta. - Downtrend persists, but selling pressure no longer dominates as clearly. Consolidation & Compression 14. Consolidation - Default state when no specific pattern dominates and the market is broadly balanced. - Educational use: treat this as a “no strong edge” label; focus on structure rather than direction. 15. Breakout Imminent - Neutral trend with contracting volume. - Compression phase where energy is building up; often precedes transitions into trending or shock scenarios. Traps & Hidden Divergences 16. Bull Trap - Bullish trend, with neutral or contracting volume and sell‑side delta. - Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies. 17. Bear Trap - Bearish trend, neutral or contracting volume, but buy‑side delta. - Downtrend “looks” intact, while buyers become more aggressive underneath the surface. 18. Hidden Bullish Divergence - Bullish trend, contracting volume, but strong buy‑side delta. - Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend. 19. Hidden Bearish Divergence - Bearish trend, volume expansion and strong sell‑side delta. - Reinforced downside pressure even if price is temporarily retracing. Reversal & Transition Patterns 20. Reversal to Bearish - Neutral trend, volume climax and strong sell‑side delta. - Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside. 21. Reversal to Bullish - Neutral trend, extreme volume dry‑up and strong buy‑side delta. - Often associated with selling exhaustion where buyers start to take control. 22. Indecision Spike - Neutral trend with extreme volume (climax or dry‑up) but neutral delta. - Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction. Extended Compression & Acceleration 23. Coiling Phase - Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided. - Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move. 24. Bullish Acceleration - Bullish trend with volume expansion and strong buy‑side delta. - Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move. 25. Bearish Acceleration - Bearish trend with volume expansion and strong sell‑side delta. - Mirror image of Bullish Acceleration on the downside. Trend Exhaustion & Climax Reversal 26. Bull Exhaustion - Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta. - The move has already travelled far; participation fades while price is still elevated. 27. Bear Exhaustion - Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta. - Down‑move may be approaching a point where additional selling pressure has diminishing impact. 28. Blow‑Off Top - Extreme bullish trend, volume climax and extreme buy delta all at once. - Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction. 29. Selling Climax Reversal - Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta. - Marks a very aggressive capitulation phase that can precede major rebounds. Advanced VSA / Anomaly Scenarios 30. Absorption - Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell). - Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained. 31. Distribution - Scenario where volume remains elevated while directional conviction weakens and the trend slows. - Represents potential “selling into strength” or “buying into weakness”, depending on the active side. 32. Liquidity Vacuum - Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta. - Highlights environments where even small orders can move price disproportionately. 33. Anomaly / Shock Event - Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution. - Intended as a warning label for unusual events rather than a specific tradeable pattern. 9. Educational Usage Notes - EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time. - A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes. - Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes. 10. Disclaimer & Educational Purpose This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system. Please note: 1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals. 2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument. 3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool. 4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
Индикатор Pine Script®
от ata_sabanci
2
V-CORE SMA Matrix LiteV-CORE SMA Matrix Lite A clean, lightweight 5-SMA structure tool built using Pine Script v6. This open-source Lite edition provides a simple visual framework for identifying market structure using the most commonly used moving averages: 21 SMA 50 SMA 80 SMA 100 SMA 200 SMA Each line is individually adjustable and colour-coded for easy trend reading. No signals, no alerts, no automation — purely a visual tool for traders who prefer clarity over complexity. This Lite version exposes only basic, non-proprietary logic. Advanced regime systems, multi-stage confirmation models, and automation features are available only in the full V-CORE Engine suite. Part of the V-CORE Lite Series Free open-source tools designed for education, research, and clean charting. Follow our work: TradingView: VectorCoresAI X (Twitter): vectorcoresai Telegram: vectorcoresai
Индикатор Pine Script®
от Vectorcoresai
Trend Entry_0 [TS_Indie]Trend Entry_0 — Mechanism Overview The core structure of this strategy is based on a price action reversal pattern, as detailed below: In the case of a Bullish Trend Reversal: The price initially moves in a bearish direction. When candle A forms a low lower than the previous low, the high of candle A becomes a key reference point.
If the next candle closes above the high of candle A , it confirms a Bullish Trend Reversal. * Upon a Bullish signal, a Long position is opened at the opening price of the next candle (candle B). * When a subsequent Bearish signal occurs, the Long position is closed at the opening price of the next candle (candle C). In the case of a Bearish Trend Reversal: The price initially moves in a bullish direction. When candle A forms a high higher than the previous high, the low of candle A becomes a key reference point.
If the next candle closes below the low of candle A , it confirms a Bearish Trend Reversal. * Upon a Bearish signal, a Short position is opened at the opening price of the next candle (candle B). * When a subsequent Bullish signal occurs, the Short position is closed at the opening price of the next candle (candle C). Options * The start and end dates of the backtest can be customized. * The swing lines of the trend can be displayed as an optional visual aid. * The user can choose whether to open only Long or Short positions. Backtest Results and Observations Based on the backtesting results of this strategy across various assets and timeframes, it has been observed that this approach works best on trending assets such as Gold, BTC, and stocks.
It also performs well on higher timeframes, starting from the Daily timeframe and above, especially when taking Long positions only. 
 However, when applied to currency pairs such as EUR/USD, the results tend to be less impressive. I encourage everyone to try backtesting and further developing this strategy — adding new conditions or filters may potentially lead to improved performance. Disclaimer This script is intended solely for backtesting purposes, based on a particular price action pattern.
It does not constitute financial or investment advice.
Backtest results do not guarantee future performance.
Стратегия Pine Script®
от Truth_Strategy_Indie
2
Swing High/Low (Adaptive)Swing High/Low (Adaptive) Overview The Indicator is a pivot point detection tool that identifies swing highs and lows with invalidation tracking. The key differentiator of this indicator is its adaptive invalidation system . Most pivot indicators simply mark every detected pivot without considering whether subsequent price action has made earlier pivots less relevant. How It Works The indicator uses Pine Script's native ta.pivotlow() and ta.pivothigh() functions combined with custom logic to detect swing points. The adaptive algorithm evaluates each potential pivot against the following criteria: For Low Pivots: Confirms a new low pivot when it's the next expected pivot type in the swing sequence If consecutive lows occur, only accepts a new low if it's lower than the previous low Marks the previous low as invalidated when a stronger low is detected For High Pivots: Confirms a new high pivot when it's the next expected pivot type in the swing sequence If consecutive highs occur, only accepts a new high if it's higher than the previous high Marks the previous high as invalidated when a stronger high is detected This approach ensures that the indicator maintains clean swing structure and automatically adjusts when price action creates stronger pivots, providing a more realistic view of support and resistance levels. Settings Pivot Settings: Left Bars : Number of bars to the left required for pivot confirmation (default: 5) Right Bars : Number of bars to the right required for pivot confirmation (default: 5) Pivot Display Settings: Toggle visibility for low and high pivots independently Customizable colors for valid pivot markers Low pivots marked with upward triangle (▲) High pivots marked with downward triangle (▼) Invalid Pivot Settings: Optional display of invalidated pivots Separate color customization for invalid low and high pivots Helps visualize where market structure expectations changed ZigZag Settings: Toggle ZigZag line display on/off Separate colors for upward and downward price swings Adjustable line width Use Cases 1. Market Structure Analysis Identify key swing points to understand the current market structure and trend direction. The adaptive invalidation feature ensures you're always looking at the most relevant pivots. 2. Support and Resistance Identification Use confirmed swing highs and lows as potential support and resistance levels for entry and exit planning. 3. Trend Confirmation The ZigZag visualization helps confirm trends by showing the sequence of higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend). Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Индикатор Pine Script®
от dchunt-stack
4
Adaptive Vol Gauge [ParadoxAlgo]This is an overlay tool that measures and shows market ups and downs (volatility) based on daily high and low prices. It adjusts automatically to recent price changes and highlights calm or wild market periods. It colors the chart background and bars in shades of blue to cyan, with optional small labels for changes in market mood. Use it for info only—combine with your own analysis and risk controls. It's not a buy/sell signal or promise of results.Key FeaturesSmart Volatility Measure: Tracks price swings with a flexible time window that reacts to market speed. Market Mood Detection: Spots high-energy (wild) or low-energy (calm) phases to help see shifts. Visual Style: Uses smooth color fades on the background and bars—cyan for calm, deep blue for wild—to blend nicely on your chart. Custom Options: Change settings like time periods, sensitivity, colors, and labels. Chart Fit: Sits right on your main price chart without extra lines, keeping things clean. How It WorksThe tool figures out volatility like this:Adjustment Factor:Looks at recent price ranges compared to longer ones. Tweaks the time window (between 10-50 bars) based on how fast prices are moving. Volatility Calc:Adds up logs of high/low ranges over the adjusted window. Takes the square root for the final value. Can scale it to yearly terms for easy comparison across chart timeframes. Mood Check:Compares current volatility to its recent average and spread. Flags "high" if above your set level, "low" if below. Neutral in between. This setup makes it quicker in busy markets and steadier in quiet ones.Settings You Can ChangeAdjust in the tool's menu:Base Time Window (default: 20): Starting point for calculations. Bigger numbers smooth things out but might miss quick changes. Adjustment Strength (default: 0.5): How much it reacts to price speed. Low = steady; high = quick changes. Yearly Scaling (default: on): Makes values comparable across short or long charts. Turn off for raw numbers. Mood Sensitivity (default: 1.0): How strict for calling high/low moods. Low = more shifts; high = only big ones. Show Labels (default: on): Adds tiny "High Vol" or "Low Vol" tags when moods change. They point up or down from bars. Background Fade (default: 80): How see-through the color fill is (0 = invisible, 100 = solid). Bar Fade (default: 50): How much color blends into your candles or bars (0 = none, 100 = full). How to Read and Use ItColor Shifts:Background and bars fade based on mood strength:Cyan shades mean calm markets (good for steady, back-and-forth trades). Deep blue shades mean wild markets (watch for big moves or turns). Smooth changes show volatility building or easing. Labels:"High Vol" (deep blue, from below bar): Start of wild phase. "Low Vol" (cyan, from above bar): Start of calm phase. Only shows at changes to avoid clutter. Use for timing strategy tweaks. Trading Ideas:Mood-Based Plays: In wild phases (deep blue), try chase-momentum or breakout trades since swings are bigger. In calm phases (cyan), stick to bounce-back or range trades. Risk Tips: Cut trade sizes in wild times to handle bigger losses. Use calm times for longer holds with close stops. Chart Time Tips: Turn on yearly scaling for matching short and long views. Test settings on past data—loosen for quick trades (more alerts), tighten for longer ones (fewer, stronger). Mix with Others: Add trend lines or averages—buy in calm up-moves, sell in wild down-moves. Check with volume or key levels too. Special Cases: In big news events, it reacts faster. On slow assets, it might overstate swings—ease the adjustment strength. Limits and TipsIt looks back at past data, so it trails real-time action and can't predict ahead. Results differ by stock or timeframe—test on history first. Colors and tags are just visuals; set your own alerts if needed. Follows TradingView rules: No win promises, for learning only. Open for sharing; share thoughts in forums. With this, you can spot market energy and tweak your trades smarter. Start on practice charts.
Индикатор Pine Script®
от paradoxalgo
TradeScope: MA Reversion • RVOL • Trendlines • GAPs • TableTradeScope is an all-in-one technical analysis suite that brings together price action, momentum, volume dynamics, and trend structure into one cohesive and fully customizable indicator. An advanced, modular trading suite that combines moving averages, reversion signals, RSI/CCI momentum, relative volume, gap detection, trendline analysis, and dynamic tables — all within one powerful dashboard. Perfect for swing traders, intraday traders, and analysts who want to read price strength, volume context, and market structure in real time. ⚙️ Core Components & Inputs 🧮 Moving Average Settings Moving Average Type & Length: Choose between SMA or EMA and set your preferred period for smoother or more reactive trend tracking. Multi-MA Plotting: Up to 8 customizable moving averages (each with independent type, color, and length). Includes a “window filter” to show only the last X bars, reducing chart clutter. MA Reversion Engine: Detects when price has extended too far from its moving average. Reversion Lookback: Number of bars analyzed to determine historical extremes. Reversion Threshold: Sensitivity multiplier—lower = more frequent signals, higher = stricter triggers. 🔄 Trend Settings Short-Term & Long-Term Trend Lookbacks: Uses linear regression to detect the slope and direction of the short- and long-term trend. Results are displayed in the live table with color-coded bias: 🟩 Bullish | 🟥 Bearish 📈 Momentum Indicators RSI (Relative Strength Index): Adjustable period; displays the current RSI value, overbought (>70) / oversold (<30) zones, and trending direction. CCI (Commodity Channel Index): Customizable length with color-coded bias: 🟩 Oversold (< -100), 🟥 Overbought (> 100). Tooltip shows whether the CCI is trending up or down. 📊 Volume Analysis Relative Volume (RVOL): Estimates end-of-day projected volume using intraday progress and compares it against the 20-day average. Displays whether today’s volume is expected to exceed yesterday’s, and highlights color by strength. Volume Trend (Short & Long Lookbacks): Visual cues for whether current volume is above or below short-term and long-term averages. Estimated Full-Day Volume & Multiplier: Converts raw volume into “X” multiples (e.g., 2.3X average) for quick interpretation. 🕳️ Gap Detection Automatically identifies and plots bullish and bearish price gaps within a defined lookback period. Gap Lookback: Defines how far back to search for gaps. Gap Line Width / Visibility: Controls the thickness and display of gap lines on chart. Displays the closest open gap in the live table, including its distance from current price (%). 🔍 ATR & Volatility 14-day ATR (% of price): Automatically converts the Average True Range into a percent, providing quick volatility context: 🟩 Low (<3%) | 🟨 Moderate (3–5%) | 🟥 High (>5%) 💬 Candlestick Pattern Recognition Auto-detects popular reversal and continuation patterns such as: Bullish/Bearish Engulfing Hammer / Hanging Man Shooting Star / Inverted Hammer Doji / Harami / Kicking / Marubozu / Morning Star Each pattern is shown with contextual color coding in the table. 🧱 Pivot Points & Support/Resistance Optional Pivot High / Pivot Low Labels Adjustable left/right bar lengths for pivot detection Theme-aware text and label color options Automatically drawn diagonal trendlines for both support and resistance Adjustable line style, color, and thickness Detects and tracks touches for reliability Includes breakout alerts (with optional volume confirmation) 🚨 Alerts MA Cross Alerts: Triggers when price crosses the fast or slow moving average within a tolerance band (default ±0.3%). Diagonal Breakout Alerts: Detects and alerts when price breaks diagonal trendlines. Volume-Confirmed Alerts: Filters breakouts where volume exceeds 1.5× the 20-bar average. 🧾 Live Market Table A fully dynamic table displayed on-chart, customizable via input toggles: Choose which rows to show (e.g., RSI, ATR, RVOL, Gaps, CCI, Trend, MA info, Diff, Low→Close%). Choose table position (top-right, bottom-left, etc.) and text size. Theme selection: Light or Dark Conditional background colors for instant visual interpretation: 🟩 Bullish or Oversold 🟥 Bearish or Overbought 🟨 Neutral / Moderate 🎯 Practical Uses ✅ Identify confluence setups combining MA reversion, volume expansion, and RSI/CCI extremes. ✅ Track trend bias and gap proximity directly in your dashboard. ✅ Monitor relative volume behavior for intraday strength confirmation. ✅ Automate MA cross or breakout alerts to stay ahead of key price action. 🧠 Ideal For Swing traders seeking confluence-based setups Intraday traders monitoring multi-factor bias Analysts looking for compact market health dashboards 💡 Summary TradeScope is designed as a single-pane-of-glass market view — combining momentum, trend, volume, structure, and reversion into one clear visual system. Fully customizable. Fully dynamic. Use it to see what others miss — clarity, confluence, and confidence in every trade.
Индикатор Pine Script®
от Avi_Indicators
1
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action 1. Introduction 1.1 Overview ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active. The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured: import TradingView/ta/10 as tvta // Determine lower timeframe string based on user choice and chart resolution string lower_tf_breakout = use_custom_tf_input ? custom_tf_input : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" // Request up/down volume (both positive) = tvta.requestUpAndDownVolume(lower_tf_breakout) Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity. Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate. Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history. Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”) 2. Price‑Structure Backbone Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations. 2.1 What it draws • Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded. • Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly. • Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels. • Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick. 2.2 Key settings • length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels. • pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings. • point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded. • label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price. • Styling inputs for trend lines, horizontal lines and labels (color, width and line style). Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots. These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle. The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable. 3. Breakout Module 3.1 Concept This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled. 3.2 Inputs • lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly. • vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout. • rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution. • ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases). • use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe. • Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width. 3.3 Detection logic 1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume. 2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window. 3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive. 4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history. 5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1). 6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector. Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move. Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold. 4. Market Phase Module (Volume Only) 4.1 Concept Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table. 4.2 Inputs • phase_period_len: Number of bars over which to compute sums and ratios for phase detection. • phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume. • strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation). • Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles. • show_phase_module: Toggles the entire phase detection subsystem. • show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected. 4.3 Detection logic The module computes three families of statistics over the volume window defined by phase_period_len: 1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends. 2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction. 3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues. The algorithm then combines these signals: • For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case. • For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category. If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” . 4.4 Outputs • Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral). • On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences. Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began. Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window. 5. OB/OS Spike Module 5.1 What overbought/oversold means here In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate. 5.2 Inputs • minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print. • syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals. • Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike. • Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable. • Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width. 5.3 Detection logic 1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos. 2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS. 3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold). 4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought. 5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line. Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels. Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow. 6. Buyer/Seller Trap Module 6.1 Concept A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps. 6.2 Inputs • trap_lookback_len: Window length used to rank extremes and detect sweeps. • trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep. • trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.) • trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed. • Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps. • Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart. 6.3 Scoring logic The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped): 1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick. 2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick. 3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand. 4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa. 5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average. The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars. Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label. Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range. 7. Sharp Move Module 7.1 Concept Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation. 7.2 Inputs • sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels. • sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window. • sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax. • sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks. • sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range). • sharpScoreRisk: Minimum number of conditions that must be true to print a risk label. • sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation. • sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution). • Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves. • Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn. 7.3 Conditions (six per side) For each side, the indicator computes six boolean conditions and sums them to form a score: 1. Dominance (instant and cumulative): – Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume. – Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks). 2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish). 3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window. 4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range). 5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile. 6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed. Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores. 7.4 Scoring and labels • Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar. • Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1). • Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled. Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move. Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window. 8. Market‑Maker / Spread‑Capture Module 8.1 Concept Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets. 8.2 Inputs • scalpLookback: Window length used to compute volume averages. • scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple. • scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement. • scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%. • Label settings: ATR length, multiplier, size, colors, connector style and width. • Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels. 8.3 Signal When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled. Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window. 9. Money Flow Module 9.1 Concept To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow. 9.2 Inputs • mf_period_len_mf: Number of bars used for summing buy and sell dollars. • Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width. • Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed. 9.3 Calculations • Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $. • Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum(). • Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate. • Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences. Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context. In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period. 10. Info Table 10.1 Purpose When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active. 10.2 Symbols • ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money. • MA — Moving average. In the table it shows the average value of a series over the lookback period. • Σ (Sigma) — Cumulative sum over the chosen lookback period. • Δ (Delta) — Difference between buy and sell values. • B / S — Buyer and seller share of total volume, expressed as percentages. • Ref. Price — Reference price for breakout calculations, based on the latest pivot. • Status — Indicates whether a breakout condition is currently active (True) or has failed. 10.3 Row definitions 1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period. 2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity. 3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period. 4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume. 5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period. 6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume. 7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more. 8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed. 9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral. 10. Money Flow – The final rows display dollar amounts and status: – ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period. – ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum. – Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively. – Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral. – Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral. The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out). 11. Conclusion & Final Remarks This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart. A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window. Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
Индикатор Pine Script®
от ata_sabanci
30
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs. Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily. Master the Market’s Daily Bank Flow. --- Strategy Detail: I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY. To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike. 🌍 Why It Works Fundamentally driven: Based on **daily Japanese banking settlement flows**. Session-specific precision: Targets the exact window when USDJPY liquidity reshapes. Risk-managed: Always calculates lot size based on account and risk preferences. Automatable: With webhook + MT5 EA, it can be fully hands-free. --- ✅ Recommended Pair: USDJPY (best observed behavior). Timeframe: 3-Minute chart. Platform: TradingView Premium (for webhooks). Execution: MT5 via EA. --- 🔎 Strategy Concept The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system. Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day. This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows. --- 🕒 Timing Logic Session Start: 5:00 AM PKT (Tokyo market open range). Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.” Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT. * If price stays inside the magic range → wait. * If a breakout happens but the candle wick touches the range → wait for the next checkpoint. * If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD). 👉 Recommended timeframe: 3-Minute chart (3M) for precise signals. --- 📈 Trade Execution Entry: Clean break above/below the magic candle’s range. Stop-Loss: Opposite side of the Tokyo session high/low. Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1). Lot Size: Auto-calculated based on your risk model: * Fixed Dollar * % of Equity * Conservative (minimum of both). Visuals include: ✅ Entry/SL/TP lines ✅ Shaded risk (red) and reward (green) zones ✅ Trade labels (Buy/Sell with lot size & levels) ✅ TP/SL hit markers --- 🔔 Alerts & Automation (AutoTMB) This strategy is fully automation-ready with EA + MT5: 1. Enable alerts in TMB settings. 2. Insert your PineConnector License Key. 3. Configure your risk management preferences. 4. Create a TradingView alert → in the message box simply type: Pine Script® {{alert_message}} and set the EA webhook. Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly. 👉 On your MT5: * Install the EA. * Use the same license key. * Run it on a VPS or local MT5 terminal. You now have a hands-free trading system: AutoTMB.
Стратегия Pine Script®
от humayunmha
4
Pasrsifal.RegressionTrendStateSummary The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers. This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features. Background Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously. Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period. Regression Trendlines • Linear Regression: o Minimizes distance to all closing values over the lookback period. o The slope represents the short-term linear trend. o The change of slope indicates trend acceleration or deceleration. o Linear regression lags during phases of rapid market shifts. • Quadratic Regression: o Fits a second-degree polynomial to minimize deviation from closing prices. o The convexity term (leading coefficient) reflects curvature:  Positive convexity → accelerating uptrend or fading downtrend.  Negative convexity → accelerating downtrend or fading uptrend. o The change of convexity detects early shifts in momentum and often reacts faster than slope features. Features Extracted The indicator evaluates six features: • Linear features: slope, first derivative of slope, second derivative of slope. • Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term. • Linear features: capture broad, background trend behavior. • Quadratic features: detect deviations, accelerations, and smaller-scale dynamics. Quadratic terms generally react first to market changes, while linear terms provide stability and context. Dynamics of Market Moves as seen by linear and quadratic regressions • At the start of a rapid move: The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope. • At the end of a rapid move: Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms. ________________________________________ Parsifal Regression.Trend.State Method 1. Feature Mapping: Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation). 2. Aggregation: A heuristic linear combination*) produces a background information value, visualized as a gradient color scale: o Deep green → strong positive trend. o Deep red → strong negative trend. o Yellow → neutral or transitional states. 3. Signals: o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state. o Slow signal (smoothed): moving average of the fast signal. o Their interactions (crossovers, zero-crossings) provide actionable trading triggers. How to Use The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states: • Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps). • Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal. • Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative. • Yellow → Deepening Red: Two possible scenarios: o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up. o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend. • Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps. • Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward. • Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift. • Yellow → Increasing Green: Two possible scenarios: o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down. o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend. Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics. Signal Crossovers: Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling. o High-confidence entries:  Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.  Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry. o Low-confidence entries:  Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals. o Zero-crossings:  Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well. ________________________________________ *) Note on Aggregation While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
Индикатор Pine Script®
от parsifaltrading
Svl - Trading SystemPrice can tell lies but volume cannot, so keeping this in mind I have created this indicator in which you see sell order block and buy order block on the basis of price action + volume through which we execute our trade First of all, let us know its core concepts and logic, which will help you in taking the right decisions in it. core concept of the " Svl - Trading System " TradingView indicator is based on professional price action, volume, and swing structure. This indicator smartly gives real-time insights of important price turning points, reversal zones, and trend continuation. Its deep explanation is given below. Edit - default swing length -5 , change according your nature , tested With 7 For 5 minute timeframe Core Concept: 1. Swing Structure Detection The indicator automatically detects swing highs (HH/LH) and swing lows (HL/LL) on the chart. HH: Higher High HL: Higher Low LH: Lower High LL: Lower Low These swings are the backbone of price action – signaling a change in trend, a bounce, reversal or trend continuation. 2. Order Block (OB) Mapping Buy Order Block (Buy OB): When the indicator detects the HL/LL swing, we declare Buy OB, the lowest point of the swing. Sell ​​Order Block (Sell OB): On HH/LH swing, the highest point of our swing is called Sell OB. Order Blocks are those important zones of price where historically price has reacted strongly – where major clusters of buyers/sellers are located in the market. 3. Volume Analysis (Optional Dashboard/Barcolor) The candle color depends on the volume ranking on the chart (most high/low, normal, pressure blue shade). Highest/lowest volume candles are a special highlight, which helps to spot liquidity spikes, exhaustion, or big orders. 4. Live Dashboard There is an automated dashboard in the top-right of the chart, which shows this in real-time: Last swing type (HH/HL/LH/LL) Reversal price (last swing level) Swing direction (Bull/Bear/Neutral) Volume, Buy OB, Sell OB, etc. This helps the trader understand the market situation at a glance. 5. Smart Plotting/Labels Buy/Sell are plotted as distinct lines on the OB chart. The Labels option gives clear visual swing points. All calculations are fast and automated – the user does not need to mark manually. This indicator is an advanced, fully-automated price action tool that combines trend, reversal, volume, liquidity and zone detection in one smart system, makes entry/exit decisions objective and error-free, and provides complete trading confidence with a live monitor/dashboard. All of its functions/properties such as: swing detect, OB plot, volume color, dashboard follow best practice for professional chart analysis!
Индикатор Pine Script®
от cnagda3
1
The Great Anchors: Dual AVWAP Powered by RSI The Great Anchors *Dual Anchored Volume Weighted Average Price Powered by RSI* --- 📌 Overview The Great Anchors is a dual AVWAP-based indicator that resets dynamically using RSI extremes — either from the current asset or a master symbol (e.g., BTCUSDT). It identifies meaningful shifts in price structure and momentum using these "anchored" levels. It’s designed to help traders spot trend continuations, momentum inflection points, and entry signals aligned with overbought/oversold conditions — but only when the market confirms through volume-weighted price direction. --- 🛠 Core Logic • AVWAP 1 (favwap): Anchored when RSI reaches overbought levels (top anchor) • AVWAP 2 (savwap): Anchored when RSI reaches oversold levels (bottom anchor) • AVWAPs are recalculated each time a new OB/OS condition is triggered — acting like "fresh anchors" at key market turning points. --- ⚙️ Key Features 🔁 Auto or Manual RSI Thresholds → Automatically determines dynamic RSI OB/OS levels based on past peaks and troughs, or lets you set fixed levels. 🧠 Master Symbol Control → Use the RSI of a separate asset (like BTCUSDT, ETHUSDT, SOLUSDT, BNBUSDT, SUPRAUSDT) or indices (like TOTAL, TOTAL2, BFR) to control resets — ideal for tracking how BTC/major coins impacts altcoins/others. 🔍 Trend-Filtering Signal Logic → Signals are filtered for less noise and are triggered when: - Both AVWAPs are rising (bullish) or falling (bearish) - Price action confirms the structure 🎯 Visual Markers & Alerts → "💥" for bullish signals and "🔥" for bearish ones. Alerts included for automation or push notifications. --- 🎯 How to Use It 1. Add the indicator to your chart. 2. Choose whether to use RSI from the current symbol or a master symbol (e.g., BTC). 3. Select auto-adjusted or manual OB/OS levels. 4. Watch for: - AVWAP(s) making a significant change (at this point it's one of the AVWAPs resetting) - Check if price flip it upwards or downwards - If price goes above both AVWAPs thats a likely bullish trend - If price can't go above both AVWAPs up and fall bellow both that's a likely bearish trend - Price retesting upper AVWAP and bounce - likely bullish continuation - Price retesting lower AVWAP and dip - likely bearish continuation - Signal icons on chart ("💥 - Bullish" or "🔥- Bearish") Best suited for: • Swing traders • Momentum traders • Traders timing altcoin entries using BTC/Major asset's RSI --- 🔔 Signal Explanation 💥 Bullish Signal = • Both AVWAPs rising • Higher lows in price structure • Bullish candle close • Triggered from overbought RSI reset 🔥 Bearish Signal = • Both AVWAPs falling • Lower highs in price structure • Bearish candle close • Triggered from oversold RSI reset Signals reset by opposite signals to prevent noise or overfitting. --- ⚠️ Tips & Notes • Use AVWAPs as dynamic support/resistance, even without signal triggers • Pair with volume or divergence tools for stronger confirmation --- 🧩 Credits & Philosophy This tool is built with a simple philosophy: "Anchor your trades to meaningful moments in price — not arbitrary time." The dual AVWAP concept helps you see how price reacts after momentum peaks, giving you a cleaner bias and more precise trade setups. ---
Индикатор Pine Script®
от CharmyDexter
Hybrid Heikin Ashi OverlayHybrid Heikin Ashi Overlay I personally like Heikin Ashi for its simplicity in showing clean trends. However, it tends to smooth out price action so much that we sometimes miss key signals from the actual candles. This indicator overlays Heikin Ashi-style background colors while keeping regular candles intact — giving you the best of both worlds: • Smoother trend visibility • No loss of execution precision • Customizable colors & transparency 🔹 No repainting 🔹 No strategy logic — purely visual 🔹 Designed to reduce clutter and help traders stay focused on structure Created by: @yug_and_her
Индикатор Pine Script®
от yug_and_her