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Candlestick analysis

Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Pine Script®指标
由neeson1987提供
Impulse Move FVG TrackerThis script identifies strong directional impulse moves and automatically plots Fair Value Gaps (FVGs) only in locations that are contextually relevant to those moves. It tracks consecutive candle bodies to determine when a large move up or down has occurred, calculates the midpoint of that impulse, and then displays bullish FVGs above the midpoint after strong upward moves and bearish FVGs below the midpoint after strong downward moves. The script operates only within a user-selected, scrollable time-of-day window and allows full control over FVG colors, extension length, minimum impulse size, and how many of the most recent FVGs remain on the chart. It is designed to reduce noise by showing FVGs only where price displacement suggests meaningful imbalance rather than marking every gap indiscriminately.
Pine Script®指标
由andrew_blichasz提供
ICT Silver Only Toolkit (XAGUSD) No Baby ICTThis indicator is designed exclusively for Silver (XAGUSD) and applies core ICT concepts to help traders identify high-probability smart-money setups. It automatically plots the Asia session range, London and New York killzones, previous day high/low, equal highs and lows (liquidity pools), Asia liquidity sweeps, and ICT fair value gaps (FVGs). The toolkit also includes “Do Nothing” warning labels to help traders avoid low-quality conditions such as trading outside killzones, extended pre-NY moves, or impulsive candles. Built for precision and patience, this indicator supports traders who wait for liquidity, displacement, and retracement rather than chasing price. Best used on 1–15 minute charts during London and New York sessions. No indicators for bias guessing. No scalping gimmicks. Just clean ICT structure for Silver.
Pine Script®指标
由TradimgTechie提供
True FVGs v2This script identifies and plots true Fair Value Gaps (FVGs) using a strict three-candle structure, distinguishing between two formation types while accounting for doji candles. It draws shaded boxes to represent untraded price imbalances, with Type A and Type B gaps defined by precise wick-to-body and body-to-body relationships that reflect institutional price displacement. The indicator allows the user to control how far each FVG extends and how many recent FVGs remain visible, keeping the chart clean and relevant. This is helpful because it highlights high-probability areas where price is likely to react, enabling more precise trade planning, entries, and risk management without visual clutter. It expands on the first script (True FVGs) and allows for a more controlled design fitting each trader's desires.
Pine Script®指标
由andrew_blichasz提供
Engulfing Candle Mid-pointsThis Pine Script, “Engulfing Candle Mid-points,” identifies bullish and bearish engulfing candles within a user-selected intraday time range. For a candle to qualify, it must fully engulf the previous candle’s body in the opposite direction and meet a configurable minimum body size in points. When such a candle is detected, the script draws a horizontal line at the mid-point of the candle’s body, extending forward for a user-defined number of bars. The script stores only the five most recent bullish and bearish lines to keep the chart clean, and all line colors, widths, and extension lengths are configurable, allowing traders to visually track significant price moves during specific trading sessions.
Pine Script®指标
由andrew_blichasz提供
Lanovyx# Lanovyx — Setup Window Confluence System ## The Problem This Solves Traditional confluence indicators require all conditions to align on the exact same bar: stochastic must be oversold AND price must touch support AND divergence must form — all simultaneously. In real markets, this rarely happens. Price touches VWAP -2σ, but stochastic doesn't reach oversold until 3 bars later. The opportunity is missed. **Lanovyx solves this with the Setup Window methodology.** --- ## Core Innovation: Setup Windows Instead of requiring simultaneous conditions, Lanovyx separates trading signals into two phases: **Phase 1 — Context Event (Setup Activation)** When a meaningful event occurs, it "opens a window" that stays active for a configurable number of bars: - Price touches VWAP ±2σ or ±3σ band → window opens - Price tests Previous Day High/Low → window opens - Stochastic divergence forms → window opens - Opening Range breakout occurs → window opens - Price reaches Support/Resistance level → window opens Each event adds to a cumulative "setup score" (capped at 8). Higher scores indicate stronger context. **Phase 2 — Trigger (Signal Generation)** Within the active window, when stochastic conditions confirm, a signal fires. The trigger doesn't need to occur on the same bar as the context — it just needs to occur while the window is open. This two-phase approach captures setups that traditional indicators miss entirely. --- ## Why Stochastic + VWAP Confluence Works **VWAP (Volume-Weighted Average Price)** tells us where institutional money has transacted. The standard deviation bands identify statistical extremes: - Price at VWAP -2σ is extended to the downside (potential mean reversion long) - Price at VWAP +2σ is extended to the upside (potential mean reversion short) **Stochastic Oscillator** measures momentum exhaustion. When price reaches a VWAP extreme AND stochastic shows momentum reversing, we have confluence of: 1. Price extension (VWAP bands) 2. Momentum exhaustion (Stochastic) 3. Context validation (Setup Window score) The multi-lane stochastic (14/21/55 periods) adds timeframe confluence — when fast, medium, and slow stochastics align, the signal is stronger. --- ## Five Signal Families Each family targets a specific market condition: ### 1. Trend Entry (T) — Blue Labels **When:** Stochastic pulls back to 25-55 zone (longs) or 45-75 zone (shorts) during established trend **Logic:** In trending markets, pullbacks to the "value zone" offer low-risk entries with trend **Best for:** Trending days with clear directional bias ### 2. Mean Reversion (R) — Green/Red Labels **When:** Stochastic exits oversold (<20) or overbought (>80) with active setup window **Logic:** At VWAP extremes with momentum exhaustion, price tends to revert to mean **Best for:** Range-bound, choppy markets **Requires:** Active setup window (context event must have occurred) ### 3. Breakout (B) — Orange Labels **When:** Stochastic lanes compress ("coil") then expand, crossing the 50 midline **Logic:** Compression precedes expansion; breakout from tight range signals new trend **Best for:** Transition days, post-squeeze moves ### 4. Momentum (M) — Green/Red Labels **When:** Stochastic crosses 50 from extreme zone (<25 or >75) within lookback period **Logic:** Catches V-shaped reversals where regime detection lags the move **Best for:** Fast reversals, news-driven moves ### 5. Counter-Signal / FADE (C) — Purple Labels **When:** A signal fires and immediately fails (stochastic reverses sharply against it) **Logic:** Failed signals often lead to strong moves in the opposite direction (trapped traders) **Confidence gating:** High-confidence fades generate signals; low-confidence show warnings only --- ## Institutional Key Levels Lanovyx incorporates levels that institutional traders use: - **PDH/PDL** (Previous Day High/Low) — Major support/resistance where stops cluster - **PDC** (Previous Day Close) — Settlement price, gap reference - **ORB** (Opening Range) — First 15 minutes high/low, breakout trigger - **IB** (Initial Balance) — First 60 minutes range, institutional benchmark These levels automatically activate setup windows when price interacts with them, adding to the setup score. --- ## Filtering System **ADX Filter:** In strong trends (ADX > 25), blocks counter-trend mean reversion signals to avoid fighting momentum. **HTF Bias Filter:** Optional alignment with higher timeframe (e.g., 1-hour) EMAs. Can block or demote signals that oppose the larger trend. **Regime Detection:** Classifies market as Uptrend, Downtrend, Sideways, or Squeeze using EMA alignment and market structure (HH/HL/LH/LL patterns). --- ## How to Use 1. **Wait for Setup** — Watch for context events (VWAP band touch, key level test, divergence) 2. **Check the Score** — Higher setup scores indicate stronger context (visible in debug mode) 3. **Wait for Trigger** — Let stochastic confirm within the window 4. **Confirm Regime** — Ensure signal type matches market condition 5. **Manage Risk** — Use the ATR-based stop/target levels shown after signals **Strong signals (★)** appear when multiple confluence factors align — these are highest probability setups. --- ## Settings Overview | Setting | Default | Purpose | |---------|---------|---------| | Setup Window | 10 bars | How long context events stay active | | Entry Zone | 25-55 | Stochastic zone for trend pullback entries | | OS/OB Levels | 20/80 | Stochastic extremes for mean reversion | | Stop Loss | 1.5 ATR | Risk management distance | | Target 1 | 2.0 ATR | First profit target (1.33:1 R:R) | Recommended timeframes: 5-minute and 15-minute charts. --- ## Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. No indicator can predict the future — use this as one input in your trading decision process, not as a standalone system.
Pine Script®指标
由sfbayman提供
Infinity Silver Cycle Map - 9-Point ProgrammableInfinity Silver Cycle Map — 9-Point Programmable + Inversion + 4MA is a time-structure overlay built to help visualize repeating rhythm in Silver by mapping a fixed-length cycle (default 42 bars) into 9 programmable pivot zones (P1–P9). This script does not predict price or claim performance. Its purpose is to make cycle timing visible and testable in replay by plotting consistent time-based reference points that traders can compare against historical swing behavior. What this script does Draws a repeating cycle framework You define a Cycle Length (bars) and 9 point offsets inside that cycle. The script then draws: Past cycles (faded) The current cycle The next cycle (projection) Highlights timing windows (optional) Each pivot can display a ± bar tolerance window so you can treat pivots as zones instead of exact “one-bar” events. Plots 4MA and 4MA (optional) A 4-period moving average and its prior value are plotted as a compact trend/inflection reference. This is included as context, not as a standalone entry/exit system. Displays a small status table Shows the script name, cycle settings, directional bias label, inversion state, and the anchor value. Optional symbol-lock If enabled, outputs can be hidden unless the chart symbol looks like Silver (e.g., XAG / SI), preventing accidental use on unrelated tickers. How it works (concepts behind the calculations) A) Cycle mapping (bar-count time structure) This indicator uses bar-based cycle segmentation: A “cycle” is treated as a repeating span of N bars (default 42). Pivot points are expressed as bar offsets inside that cycle (P1–P9). Each pivot is then projected backward (past cycles) and forward (next cycle) to create a repeating time grid. This is a time alignment tool: it measures where we are in the cycle and makes those timing landmarks visible. B) Directional state (minimal / stable) The Bias label (LONG / SHORT / STAND ASIDE) is derived from simple agreement checks: Price relative to a short mean (SMA of close) A smoothed RSI line vs its signal line If both conditions align bullish → LONG If both align bearish → SHORT Otherwise → STAND ASIDE C) Inversion toggle (presentation switch) “Invert Bias” flips LONG ↔ SHORT. This is provided to support alternative interpretations or testing workflows; it does not change the cycle map itself. How to use it Start by calibrating the cycle Set Cycle Length and P1–P9 offsets to match the time structure you observe in Silver. Use Past Cycles to visually verify whether swings tend to cluster near certain pivot zones. Treat pivots as timing zones Enable ± Timing Window and set tolerance (± bars) to account for real-world variation. Use pivots as “attention zones” where trend continuation or reversal is more likely to occur in time. Use 4MA as context The 4MA and 4MA lines help you see whether price is accelerating, flattening, or inflecting as a pivot zone approaches. Use Bias as a filter, not a promise Bias is best used as a lightweight “state label” when reviewing cycle behavior, not as a standalone trade trigger. Notes & limitations This is a time-based framework, so behavior will differ across timeframes and Silver tickers. Pivot placement is intentionally user-controlled; the script does not auto-optimize points. This tool provides structure and context; it does not place trades and does not provide financial advice.
Pine Script®指标
由Dinjin提供
Fractal - VA (Dynamic Wicks)This indicator, which we’ve developed as the Frectal - VA (Multi-Timeframe Visual Analytics), is designed for traders who utilize multi-timeframe analysis but want to keep their main chart clean of overlapping candles. It functions as a Projected Dashboard, pulling price action from a higher timeframe (HTF) and rendering it as a set of dynamic, solid objects in the right-hand margin of your chart. Core Philosophy The "Frectal - VA" is built on the principle of Nested Structure. In professional trading, the "Value Area" or the "Fractal" of a higher timeframe often dictates the trend of the lower timeframe. By projecting these candles into the future (the right side of the chart), you can monitor HTF trend shifts, volatility, and candle closes without the HTF candles obscuring your current "live" price action. Key Components Decoupled Visualization: Unlike standard MTF indicators that overlay large boxes behind your current bars, this indicator creates a side-by-side comparison in the chart's whitespace. Real-Time Data Streaming: It doesn't just show historical candles; the "lead" candle in the dashboard updates with every tick of the current price, showing you exactly how the higher timeframe candle is forming. Dynamic Color Sync: The body, border, and wick of each projected candle are linked. If a 1-hour candle flips from bullish to bearish on a 5-minute chart, the entire dashboard object changes color instantly. Customizable Offset: You control the "Drop" (Vertical Offset) and the "Margin" (Horizontal Offset). This allows you to tuck the indicator into a corner of your screen as a heads-up display (HUD). Strategic Use Cases Trend Confirmation: If you are trading a 1-minute "scalp" but the 15-minute dashboard shows a solid, large-bodied bearish candle, you are alerted to trade with the HTF momentum. Volatility Monitoring: By observing the size of the wicks in the dashboard, you can see if the higher timeframe is experiencing "rejection" at certain levels, even if your local timeframe looks like a steady trend. Visual Backtesting: Because it maintains a queue of the last X candles, you can see the immediate history of the HTF structure (e.g., a "Morning Star" pattern or "Engulfing" candles) at a glance. Technical Specifications Pine Script Version: v6 (latest standard). Drawing Engine: Uses box and line arrays for high-performance rendering that doesn't lag the UI. Memory Management: Automatically deletes old objects to stay within TradingView’s script limits, ensuring stability during long trading sessions.
Pine Script®指标
由vickyatiya1提供
Smart Ranges📌 Indicator Name Smart Ranges – High, Mid & Low Zone Indicator 🎯 Purpose of the Indicator The Ranges indicator automatically identifies and visualizes High Range, Mid Range, and Low Range price zones based on recent market structure. It helps traders: Identify premium (high) and discount (low) price areas Understand where price is trading relative to its recent range Improve decision-making for entries, exits, and risk management ⚙️ How the Indicator Works (Logic) The indicator looks back over a fixed number of candles (default: 130). It calculates: Highest High → High Range Lowest Low → Low Range Midpoint → Mid Range These levels are projected forward into future candles to act as reference zones. A small ATR-based buffer is used to create slim, clean zone boxes instead of thick bands. 📊 Zones Explained 🟣 High Range (Premium Zone) Based on the highest price in the lookback period Represents a premium or upper extreme Often used for: Profit-taking Short setups Watching for reversals ⚪ Mid Range (Equilibrium Zone) The average between high and low range Acts as a balance or decision area Price often reacts here before choosing direction 🟢 Low Range (Discount Zone) Based on the lowest price in the lookback period Represents a discount or lower extreme Often used for: Long setups Accumulation areas Bounce or reversal zones 📐 Inputs & Settings Zone Lookback Length Controls how many past candles are used to calculate ranges (Default: 130) Zone Forward Extension Determines how far the zones project into the future (Default: 30) Zone Colors Customize colors for High, Mid, and Low ranges EMA 15 (Optional) A short-term EMA can be displayed for trend context (Disabled by default) 🧭 How to Use the Indicator Add the indicator to your chart Observe where price is trading: Near Low Range → Discount area Near Mid Range → Neutral / balance Near High Range → Premium area Use the zones as context, not signals: Combine with price action Use with trend, structure, or volume tools Best results come when aligned with: Higher timeframe bias Market structure Session behavior 🧪 Example If price moves into the High Range zone after a strong rally, it may signal: Reduced upside potential Possible consolidation or reversal If price enters the Low Range zone, it may indicate: Discount pricing Potential long opportunities (with confirmation) ⚠️ Important Notes & Limitations This indicator does not repaint once the zone is drawn Zones update only on the last bar Should not be used as a standalone trading system Always use proper risk management 📄 Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves risk.
Pine Script®指标
由imhafiz_bot提供