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Candlestick analysis

Attempted candles - customizable lines and infoboxAttented candles are candles that collect their liquidity above or below the previous candle and then run in the opposite direction: Short trade Candle gets liquidity above the previous candle and then ends up as a red candle Long Trade Candle picks up liquidity below the previous candle and then ends up as a green candle The following information lines and info box are calculated as follows: Short trade 2 pips above the high of the candle creates the red SL line Entry is at the close of the candle Distance between SL and entry is Risk 1 The TP line is then created below the close of the candle at the distance of the CRV Long Trade 2 pips below the low of the candle creates the red SL line Entry is at the close of the candle Distance between SL and entry is Risk 1 The TP line is then created above the close of the candle at the distance of the CRV In order to keep track of several lines, the SL, Entry and TP lines are connected with a common vertical line. The following is adjustable: Length of information lines Width of information lines Width of the fiber Connecting line on/off, color and opacity Pip value (default 0.0001) Distance of SL line in pips CRV (Standard 3) Distance of the info box for long trades from the SL Distance of the info box for shorttrades from the SL Minimum Distance of the info box (default 3) Display of TP, Entry, SL on/off Font size of the info box The information on TP, Entry and SL are pure suggestions.
Pine Script®指標
由veith-trading提供
Short-Term Weekly Refuges (Shelters)## // Introduction // ══════════════ Short-Term Weekly Refuges (Shelters) (WR or RS) is a structural analysis indicator designed to track price action during the current week. It combines a configurable ZigZag with Fibonacci retracements anchored to recent phases, using the Weekly Opening Price (W.O.P.) as a key reference level. This indicator is optimized for 4H timeframe but also works on 1H and 15min charts. ## // Theoretical Foundation of the Indicator // ═══════════════════════════════ The WR (RS) indicator provides a structural framework for following price action during the current trading week. The core concept: Recent ZigZag phases, combined with the Weekly Opening Price, create dynamic support and resistance levels that institutional traders often monitor and use for intraweek positioning. The indicator allows you to select which recent phase (1-10) serves as the Fibonacci anchor. ## // Indicator Objectives // ══════════════════ 1) Display a configurable ZigZag showing recent price structure with numbered phases (1 = most recent). Users should configure the ZigZag parameters based on whether they are analyzing a Major Degree Pattern (larger swings, less noise) or a Minor Degree Pattern (smaller swings, more detail), following standard Elliott Wave terminology. Configure the ZigZag to match the degree of your analysis: use higher Depth values for Major Degree Patterns, or lower values for Minor Degree Patterns. 2) Draw Fibonacci retracements on a user-selected phase, with two modes: • "On ZigZag": Traditional Fibonacci on the selected phase. • "Relative to W.O.P.": Fibonacci from phase anchor (i0) to Weekly Opening Price. 3) Show Weekly Opening Price lines as horizontal references, with the current week's line extended into the future. 4) Provide Pivot Up/Down markers for additional confirmation of local highs and lows. 5) Support multiple simultaneous indicator loads with visual identifier labels to distinguish between different analysis degrees (e.g., "Major Degree Pattern" vs "Minor Degree Pattern"). 6) Optional Embedded Indicator: Enable Intraday Shelters (RID) - percentage-based support/resistance levels calculated from the Daily Opening Price, useful for 1H and 15min trading. ## // Key Features // ══════════════ • **Flexible ZigZag**: Adjustable Depth, Deviation, and Backstep parameters to adapt to any asset's volatility. • **Phase Selection**: Choose from the 10 most recent phases for Fibonacci anchoring. • **Dual Fibonacci Modes**: Trace on the ZigZag phase itself, or relative to the Weekly Opening Price. • **New Age Color Palette**: Professional Fibonacci color scheme used by old school experienced traders. • **Weekly Opening Price (W.O.P.)**: Historical weekly opens plus current week projection. • **"Show Only W.O.P." Mode**: Isolate just the Weekly Opening Price line for cleaner charts on non-4H timeframes. • **Optional Intraday Shelters (RID)**: 11 percentage levels (±0.382%, ±1%, ±1.5%, ±2%, ±2.5%) based on Daily Opening Price. • **Multi-Load Support**: Visual identifier tags and Large Label for running multiple indicator instances simultaneously. ## // Recommended Workflow // ═════════════════════ 1) Load the indicator on a 4H chart. 2) Adjust ZigZag parameters (Depth, Deviation) until the phases match your visual analysis of recent price structure. 3) Select the phase you want to use as Fibonacci anchor (typically Phase 2, 3 or higher). 4) Choose Fibonacci mode: "On ZigZag" for phase analysis, or "Relative to W.O.P." for analysis based on weekly opening price context. 5) Monitor how price interacts with the Fibonacci levels and Weekly Opening Price throughout the week. 6) Optionally enable RID for intraday precision on 1H or 15min charts. ## // Integration with Other Refuge Indicators // ════════════════════════════════ WR (RS) is part of a complete refuge-based analysis ecosystem: • LTR (RLP) (Long-Term Refuges): For automatic determination of the predominant phase of a ZigZag, which institutional investors choose as the basis for a Fibo whose levels calculate the projection for order placement over the following months and years. • LTRS (RLPS) (Simple Long-Term Refuges): Simplified version of LTR in which the known coordinates of the predominant phases (obtained with the LTR indicator) of one or up to five assets are easily captured for permanent long-term operation. • WR (RS) (Short-Term Weekly Refuges): (This indicator) For short-term tactical analysis (4H, 1H) based on chosen phases of a ZigZag that define Fibo levels generated during the near past week(s) and probably effective in the present week. • IDR (RID) (Intra-Day Refuges): For daily operations relying on intraday levels on timeframes of 1H or less. Ideal for scalping traders. By combining LTR, LTRS, WR and IDR, you obtain a multi-level framework that allows you to operate with clarity at any time horizon, from intraday positions to investments spanning months and years. ## // Additional Notes // ════════════════ 1) Default parameters are optimized for volatile assets (crypto, tech stocks). For forex or less volatile instruments, consider reducing Deviation to 3-8%. 2) The "Phase in Development" (dashed line) shows the tentative current ZigZag segment that may still change as new bars form. 3) Bug reports, improvement proposals for the ZigZag generator, pattern determination, or Fibo composition, etc., will be greatly appreciated and taken into account for a future version. Best regards and happy hunting. (Sorry: Spanish translation erased trying to avoid confusing publishing banning rules).
Pine Script®指標
由Masewal_aj_p_oolom提供
True FVGsThis script highlights 3-candle Fair Value Gaps (FVGs) on your chart, showing areas where price moved quickly and left potential gaps in market structure. Bullish FVGs are shown with green boxes and suggest possible support, while bearish FVGs are shown with red boxes and suggest possible resistance. It also includes doji candles—very small-bodied candles that indicate indecision—so these patterns are not missed. The script displays the most recent 5 FVGs, making it easy to spot recent potential areas where price may react.
Pine Script®指標
由andrew_blichasz提供
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence. The EMAs used are EMA 9, EMA 12 and EMA 20. When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal. The way to use it is to apply it onto the Pine Screener. You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan. If Condition is True, the candlesticks would have a green arrow below and the background is highlighted. The script is published, feel free to amend it as you like Have a Nice Day, and Trade Safe !
Pine Script®指標
由IM_KTD_提供
Infinity Cycle-Timed Framework (XRP Specific)This indicator is a time-based decision-context framework designed specifically for XRP. It evaluates directional alignment, cycle timing proximity, and volatility-based trade quality using a repeating time structure calibrated to XRP price history. Rather than issuing buy or sell commands, the script combines multiple classification layers into a single table and chart overlay to help users determine whether current market conditions favor participation or standing aside. What This Script Displays 1) Directional Confluence (Table + Markers) A short-term directional filter evaluates alignment using a moving-average reference and smoothed momentum comparison. The result is a simple directional state: LONG SHORT STAND ASIDE Optional small markers (“L” or “S”) may appear near candles when directional alignment is present. These markers indicate directional agreement, not trade entry signals. 2) Cycle Timing Framework (Time-Based Component) The script includes a repeating bar-count cycle structure with user-defined pivot points. Cycle pivots are plotted as vertical dotted lines, with optional ± bar timing windows to visualize proximity. Past, current, and optional forward cycles are drawn for structural time reference only. This component is time-based and does not generate price levels or forecasts. 3) HIT Balloons (Timing + Momentum Alignment) When enabled, the script monitors whether a short-term moving-average cross occurs within a defined bar tolerance of a cycle pivot. If this alignment occurs, a HIT balloon is plotted at that pivot: The balloon marks time + momentum alignment It does not predict price direction or outcome HIT markers persist for historical review 4) Reward-to-Risk Quality (Volatility Context) A volatility component uses ATR-based ranges around a median reference to estimate whether sufficient price movement (“runway”) exists relative to recent volatility. The output is expressed as a relative quality score, not a target or forecast. Composite Setup Score The table produces a Setup Score (0–100) derived from fixed component weights: Directional Confluence (50%) Cycle Timing Proximity (30%) Reward-to-Risk Quality (20%) The score represents overall alignment quality, not trade probability or performance expectation. Bias Classification Based on directional confluence, the script displays a clear bias state: LONG SHORT STAND ASIDE The bias reflects current condition alignment, not a trade instruction. How to Use Apply the indicator to a chart and allow sufficient historical bars for cycle context. Use cycle pivots to understand where price is within a repeating time structure. Use directional confluence and volatility context to assess whether conditions support participation. The indicator is designed to be used standalone. No additional scripts are required. Chart Setup Notes This script plots price-aligned objects and should be merged with the chart’s price scale for correct vertical alignment. The script relies on extended historical data to display past cycles. Symbols or data feeds with limited history may not show the full structure. Interpretation Notes Cycle pivots represent timing reference zones, not guaranteed reversals. Directional markers indicate environmental alignment, not entry points. Absence of directional markers may indicate weakening confluence or transition conditions. This script is asset-specific and is intended for use on XRP charts. While the general methodology is time-based, the cycle structure and pivot spacing are calibrated for XRP and may not be meaningful on other assets. Important Disclaimers This indicator does not predict price, guarantee outcomes, or provide financial advice. All outputs are intended for context and classification, not automated decision-making. Always apply independent analysis and risk management.
Pine Script®指標
由Dinjin提供
Empty Candle//@version=5 indicator("5–6 signals per day (Stable)", overlay=true) // ─────── Inputs ─────── emaLen = input.int(50, "EMA Length", minval=10) rsiLen = input.int(14, "RSI Length", minval=5) volMult = input.float(1.3, "Volume multiplier", minval=1.0, step=0.1) rsiOverb = input.int(65, "RSI Overbought", minval=50, maxval=90) rsiOvers = input.int(35, "RSI Oversold", minval=10, maxval=50) // ─────── Calculations ─────── ema = ta.ema(close, emaLen) rsi = ta.rsi(close, rsiLen) volMA = ta.sma(volume, 20) // ─────── Trend ─────── bullTrend = close > ema bearTrend = close < ema volSpike = volume > volMA * volMult // ─────── Base conditions ─────── baseBuy = bullTrend and rsi < rsiOvers and volSpike and close > open baseSell = bearTrend and rsi > rsiOverb and volSpike and close < open // ─────── EMA press logic ─────── emaPressBuy = close > open and open < ema and close > ema emaPressSell = close < open and open > ema and close < ema // ─────── Final signals ─────── buyCond = baseBuy or emaPressBuy sellCond = baseSell or emaPressSell // ─────── Signals (STRICTLY BAR-ANCHORED) ─────── plotshape( buyCond, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.small ) plotshape( sellCond, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small ) // ─────── EMA ─────── plot(ema, title="EMA", color=color.new(color.blue, 30), linewidth=2)
Pine Script®指標
由oshevchyshyn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
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Pine Script®指標
由phani0906i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