立即開始

Candlestick analysis

Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader ) Overview Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens. The Problem It Solves Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow. How It Works Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy. Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity. Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze. Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze. Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal. Key Features No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking. Squeeze Logic: Prevents you from overtrading in a "dead" market. Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders. Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes. How to Trade with This Indicator Step 1 (The Wait): Wait for the gray background (Squeeze). Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings. Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears. Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio. Settings Explained Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother. Squeeze Length: Default is 20. Controls how sensitive the sideways detection is. Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity. Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
Pine Script®指標
由hermanwomsiwor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®指標
由andrew_blichasz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®指標
由andrew_blichasz提供
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®指標
由neeson1987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®指標
由andrew_blichasz提供
Pivot Scannerpivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alertspivot scanner based on pivots ema and ai alerts
Pine Script®指標
由phani0906i提供
Previous High & LowPrevious High & Low plots key reference levels from higher timeframes directly on your chart to help you spot liquidity targets, support/resistance, and reaction zones faster. What it shows: PDH / PDL (Previous Day High & Low): yesterday’s high and low, extended to the end of the current day (works on all timeframes, including low TF). H-2 / H-3 (1H levels): the high/low from the previous-previous hour (H-2) and an optional extra set (H-3) for additional intraday context. These lines are limited up to the current candle. H4-1 / H4-2 (4H levels): the high/low of the previous 4-hour candle (H4-1) and the previous-previous 4-hour candle (H4-2), also limited up to the current candle. Customization: Toggle each group on/off (PDH/PDL, H-2, H-3, H4-1, H4-2) Fully style lines (color, width, solid/dashed/dotted) Optional labels for each level How to use: Use these levels as “areas of interest” for breakouts, pullbacks, stop runs/liquidity sweeps, and mean-reversion reactions—especially around PDH/PDL and prior 4H/1H extremes.
Pine Script®指標
由sigmaboy8提供