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อินดิเคเตอร์และกลยุทธ์

stelaraX - Market StructurestelaraX – Market Structure stelaraX – Market Structure is a technical analysis indicator designed to visualize swing structure and trend transitions using pivot-based market structure logic. The script identifies swing highs and swing lows, classifies them into structure types, and highlights key events such as Break of Structure (BOS) and Change of Character (CHoCH). The indicator is built to provide a clear, rule-based view of price structure across any market and timeframe. For advanced AI-based chart analysis and automated structure interpretation, visit stelarax.com Core logic The script detects swing points using pivot highs and pivot lows with a user-defined swing length. Swing highs are classified as: * HH when a new swing high is higher than the previous swing high * LH when a new swing high is lower than the previous swing high Swing lows are classified as: * HL when a new swing low is higher than the previous swing low * LL when a new swing low is lower than the previous swing low Structure points can be displayed with labels and connected by dashed structure lines. BOS and CHoCH Break of Structure is detected when price closes through the most recent swing level: * bullish BOS when price crosses above the last swing high during a bullish trend * bearish BOS when price crosses below the last swing low during a bearish trend Change of Character is highlighted as a potential trend transition: * bearish CHoCH when a lower high forms after a bullish trend * bullish CHoCH when a higher low forms after a bearish trend Both BOS and CHoCH can be enabled or disabled independently. Visualization The indicator can display: * swing point labels for HH, HL, LH, and LL * dashed structure lines between consecutive swing points * BOS labels and horizontal BOS lines at the broken swing level * optional background shading based on the detected trend state Colors, label size, and line width are configurable. Alerts Alert conditions are available for: * bullish break of structure * bearish break of structure * new higher high detection * new lower low detection Use case This indicator is intended for: * market structure mapping using swing highs and swing lows * identifying BOS events for continuation confirmation * spotting CHoCH for potential trend transitions * trend bias visualization and structure-based analysis For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - Moving Average MultistelaraX – Multi MA stelaraX – Multi MA is a flexible moving average indicator that allows the use of up to four independently configurable moving averages on a single chart. Each moving average can be customized by type, length, source, color, and line width, making the indicator suitable for a wide range of trading styles and timeframes. The indicator is designed to provide a clear overview of trend direction, dynamic support and resistance, and moving average interactions. Core logic The script supports multiple moving average calculation methods: * Simple Moving Average (SMA) * Exponential Moving Average (EMA) * Weighted Moving Average (WMA) * Hull Moving Average (HMA) * Volume Weighted Moving Average (VWMA) * Running Moving Average (RMA) Each of the four moving averages can be enabled or disabled individually and calculated from any price source. Crossover signals The indicator can generate crossover signals between any two selected moving averages: * bullish crossover when the fast MA crosses above the slow MA * bearish crossover when the fast MA crosses below the slow MA Crossover signals are displayed directly on the chart using directional markers and can be enabled or disabled as needed. MA cloud An optional moving average cloud can be displayed between two selected moving averages: * bullish cloud when the faster MA is above the slower MA * bearish cloud when the faster MA is below the slower MA Cloud colors and transparency are fully customizable. Visualization The indicator plots up to four moving average lines directly on the chart. Additional visual features include: * optional MA crossover markers * optional moving average cloud * optional bar coloring based on price position relative to selected moving averages Bar colors reflect basic trend conditions when price is above or below selected averages. Alerts Alert conditions are available for: * bullish and bearish moving average crossovers * price crossing above or below selected moving averages * price crossing above or below the long-term moving average Alerts trigger only on confirmed crossover conditions. Use case This indicator is intended for: * trend identification and confirmation * moving average crossover strategies * dynamic support and resistance analysis * multi-timeframe trend alignment * general market structure visualization Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - Order BlocksstelaraX – Order Blocks stelaraX – Order Blocks is a technical analysis indicator designed to identify, visualize, and manage bullish and bearish order blocks based on swing structure and impulsive price movement. The indicator focuses on institutional price zones and tracks their lifecycle from creation to mitigation or invalidation. Order blocks are detected using pivot highs and pivot lows and are only validated when followed by a minimum impulsive price move, ensuring structurally relevant zones. Core logic The indicator detects order blocks using swing-based market structure: * bullish order blocks are formed from swing lows followed by an impulsive upward move * bearish order blocks are formed from swing highs followed by an impulsive downward move The originating candle of the order block can be defined using different calculation modes: * Last Candle * Wick to Wick * Full Range Each order block stores its full range, midpoint level, creation bar, and current state. Mitigation and breaker blocks Order blocks are monitored in real time for mitigation. Mitigation can be defined as: * first touch * 50 percent retracement * full fill of the order block Once mitigation occurs, an order block can: * remain visible in a mitigated state * be removed automatically * convert into a breaker block if price fully violates the zone Breaker blocks represent structurally broken order blocks and are highlighted separately. Visualization Order blocks are displayed directly on the chart using colored zones: * bullish order blocks are shown in green tones * bearish order blocks are shown in red tones * mitigated order blocks are faded * breaker blocks are highlighted using a separate color Optional features include: * midpoint level line * order block labels * automatic extension of active blocks * configurable maximum number and maximum age of blocks All visual elements are fully customizable. Dashboard An optional on-chart dashboard provides a real-time overview of: * total bullish and bearish order blocks * mitigated order blocks * active unmitigated blocks * breaker blocks * mitigation percentages Dashboard position and text size are configurable. Alerts Alert conditions are available for: * newly detected bullish order blocks * newly detected bearish order blocks Additional alerts are triggered when order blocks are mitigated or converted into breaker blocks. Use case This indicator is intended for: * order block and supply and demand analysis * institutional-style market structure trading * identifying high-interest price zones * multi-timeframe confluence analysis Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
Weekly Cycles [SolQuant]The Weekly Cycles indicator maps recurring weekly behavioral phases onto the chart using colored daily boxes and labels. It divides each week into distinct phases based on observed market patterns, providing structural context for intraweek trading decisions. █ USAGE Weekly Phases Each day of the week is assigned a behavioral phase: • Sunday — Dead Gap Zone: Low-liquidity period where gaps from the weekend close can create traps. Price action during this phase is often unreliable for directional bias. • Monday — False Move: The early-week move that frequently reverses. Monday often establishes a range extreme that gets swept later in the week. • Tuesday — Consolidation: A transition day where the market digests Monday's move and begins building the structure for the week's main directional move. • Wednesday/Thursday — Midweek Reversal: The highest-probability window for the week's primary directional move. This phase often sees the week's true trend establish itself. • Friday — Model Completion: The closing phase where weekly targets are either achieved or the move stalls. Profit-taking and position squaring are common. • Saturday — Weekend Trap: Low-liquidity continuation of Friday's action that can create misleading signals for the following week. Visual Display Each phase is represented by a colored box spanning the day's price range. Labels at the top of each box display the phase name for quick reference. The boxes update in real time as each day's high and low develop. █ DETAILS The indicator uses the day of the week (dayofweek) to assign phases. Box boundaries are defined by each day's opening time through the next day's opening time, with the price range tracking the high and low of bars within that window. Historical boxes are maintained up to a configurable maximum count. Boxes are created at the start of each new day and their height is updated with each new bar as the day's range expands. █ SETTINGS • Show Phase Labels: Toggle the text labels above each daily box. • Phase Colors: Customizable colors for each day/phase. • Max Boxes: Controls how many historical weekly cycle boxes are displayed. Weekly cycle phases are based on observed market patterns and do not guarantee that price will follow the described behavior in any given week. Market conditions vary and phases should be used as context, not as standalone signals. This indicator does not constitute financial advice.
อินดิเคเตอร์ Pine Script®
โดย lost_sol_
Markets [SolQuant]The Markets indicator displays global trading session times with visual range boxes and highlights market maker activity zones. It maps the three major sessions — New York, London, and Asia — along with specialized zones that have been observed to correlate with specific market behaviors. █ USAGE Session Boxes Colored boxes are drawn for each active trading session, spanning from the session open to the session close. The box height covers the price range traded during that session. Each session uses a distinct color for quick identification: • New York: The primary session for US equities and crypto volume. • London: Overlaps with New York for peak liquidity in forex and global markets. • Asia: Tokyo/Hong Kong session, often setting the tone for the following London session. Session boxes provide immediate visual context about which global market was active during any given price action. Market Maker Zones Two specialized time windows are highlighted: • Reversal Session: A time window commonly associated with market reversals and directional shifts. • Gap Session: A time window where gaps and displacement moves frequently occur. These zones are derived from observed patterns in market maker behavior and are intended as awareness tools rather than predictive signals. █ DETAILS Sessions are defined by fixed time ranges in their respective timezones. The indicator uses daylight saving time-aware timezone strings to ensure accuracy year-round. Each session's price range (high/low) is tracked dynamically and the box height updates in real time as the session progresses. Market maker zones use the same box-drawing mechanism but target narrower time windows. All boxes are automatically removed after a configurable maximum count to prevent chart clutter. █ SETTINGS • Show NY / London / Asia: Toggle each session's display. • Show Reversal Session / Gap Session: Toggle market maker zones. • Session Colors: Customizable colors for each session and zone. • Max Boxes: Controls how many historical session boxes are kept on chart. This indicator displays fixed time-based session zones and does not predict price direction. Market maker zones are based on observed patterns that may not persist. It does not constitute financial advice.
อินดิเคเตอร์ Pine Script®
โดย lost_sol_
stelaraX - BSL/SSL LiquiditystelaraX – BSL/SSL Liquidity stelaraX – BSL/SSL Liquidity is a technical analysis indicator that identifies and tracks buy-side and sell-side liquidity levels based on swing highs and swing lows. The script uses pivot detection to mark potential liquidity pools, then monitors price action to highlight when those levels are swept. The indicator is designed to visualize liquidity as either lines, zones, or both, and to keep the chart clean through configurable level limits and optional extensions. Core logic Swing highs and swing lows are detected using ta.pivothigh and ta.pivotlow with a user-defined swing length. Each detected swing high creates a BSL level, and each detected swing low creates an SSL level. For every created level, the script stores: * the price * the bar index where the swing formed * sweep status and sweep bar * optional drawn objects (line, zone box, label) A level is considered swept when: * BSL is swept if high trades above the stored swing high price * SSL is swept if low trades below the stored swing low price When a sweep occurs, the corresponding visuals are updated to a “swept” style (higher transparency and dashed line), and the level is stopped/closed at the sweep bar. Display and styling The indicator supports three display modes: * Lines: horizontal liquidity lines * Zones: rectangular zones with adjustable width in percent * Both: lines and zones together Additional options: * extend levels forward by a fixed amount if not swept * show labels at creation (BSL / SSL) * optional swept marker at the sweep bar * customizable colors for active and swept states * maximum number of levels to keep on chart (older levels are removed automatically) Dashboard An optional dashboard summarizes: * total BSL levels and swept BSL levels * total SSL levels and swept SSL levels * sweep rate percentages for both sides The dashboard position and text size are configurable. Alerts The script provides: * alert conditions for new BSL and SSL levels (new pivot high / new pivot low) * optional real-time alert messages when a sweep is detected (BSL swept or SSL swept) Disclaimer This indicator is intended for technical analysis purposes only and does not provide financial advice or trade recommendations. Trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
DCR/WCR Indicator with SPY Relative StrengthOverview This indicator displays Daily Close Range (DCR) and Weekly Close Range (WCR) metrics to help traders identify momentum, buying/selling pressure, and relative strength compared to the S&P 500 (SPY). The data is presented in a clean, color-coded table that can be positioned anywhere on your chart. What This Indicator Measures Daily Close Range (DCR) Formula: (Close - Low) / (High - Low) × 100 Purpose: Shows where the current candle closed within its daily range as a percentage (0-100%) Interpretation: 90-100% (Strong Buy): Price closed near the daily high, indicating strong buying pressure and bullish momentum 70-90% (Bullish): Price closed in the upper portion of the range, suggesting buyers are in control 30-70% (Neutral): Price closed near the middle, indicating consolidation or indecision 10-30% (Bearish): Price closed in the lower portion, suggesting sellers are gaining control 0-10% (Strong Sell): Price closed near the daily low, indicating strong selling pressure and bearish momentum Weekly Close Range (WCR) Formula: (Weekly Close - Weekly Low) / (Weekly High - Weekly Low) × 100 Purpose: Analyzes where the stock finished the week relative to the weekly high and low Interpretation: ≥60% (Accumulation): Closing in the top 40% of the weekly range suggests institutional buying and strong support. This often indicates smart money is entering positions 40-60% (Neutral): Middle of the range shows indecision with neither buyers nor sellers in clear control ≤40% (Distribution): Closing in the bottom 60% suggests selling pressure and potential institutional distribution SPY Relative Strength Comparison The indicator calculates the difference between your stock's DCR/WCR and SPY's DCR/WCR to determine relative strength: Much Stronger (+20% or more): Your stock is significantly outperforming the market - exceptional relative strength Stronger (+10% to +20%): Your stock is outperforming the market Similar (-10% to +10%): Your stock is moving in line with the broader market Weaker (-10% to -20%): Your stock is underperforming the market Much Weaker (-20% or less): Your stock is significantly underperforming - consider this a warning sign Trading Use Cases Confirming Breakouts High DCR (>70%) during a breakout confirms strong buying interest High WCR (>60%) suggests institutional support for the move If both are strong while SPY is weak, you've identified exceptional relative strength Identifying Reversals Extremely low DCR (<10%) after a downtrend may signal capitulation Rising DCR while WCR remains strong suggests a bounce is sustainable Divergence between DCR and SPY can highlight emerging leadership Volume Confirmation High WCR (>60%) with strong volume = institutional accumulation (bullish) Low WCR (<40%) with high volume = institutional distribution (bearish) Use in conjunction with volume analysis for best results Market Context Compare your stock's metrics to SPY to understand if momentum is stock-specific or market-wide Stocks showing strength while SPY is weak often become market leaders Stocks showing weakness while SPY is strong should be avoided or exited Customization Options Table Position: Choose from 9 positions to place the table anywhere on your chart (top/middle/bottom × left/center/right) SPY Comparison Toggle: Enable or disable the SPY relative strength comparison rows Best Practices Use Multiple Timeframes: DCR gives you intraday momentum, WCR provides the weekly trend Combine with Volume: High WCR with strong volume is particularly bullish Monitor Divergences: When DCR and WCR diverge, it may signal a change in trend Relative Strength Matters: Focus on stocks showing strength vs SPY for better risk/reward Context is Key: A high DCR in a downtrend may just be a bounce; always consider the bigger picture Color Coding The indicator uses intuitive color coding: Green: Bullish signals (high DCR/WCR, outperformance vs SPY) Yellow: Neutral signals (middle range, similar to SPY) Red: Bearish signals (low DCR/WCR, underperformance vs SPY) Note: This indicator works on all timeframes and asset types. It's particularly useful for swing traders and investors looking to identify momentum and institutional activity. Always use in conjunction with other technical analysis tools and proper risk management.
อินดิเคเตอร์ Pine Script®
โดย usefulMind2379
Two MA Crossover with Buy/Sell Labels//@version=5 indicator("Two MA Crossover with Buy/Sell Labels", overlay=true) // === User Inputs === shortPeriod = input.int(10, title="Fast MA Period") longPeriod = input.int(100, title="Slow MA Period") maType = input.string("EMA", title="MA Type", options= ) // === Moving Average Function === ma(src, length) => maType == "EMA" ? ta.ema(src, length) : ta.sma(src, length) // === Calculate MAs === fastMA = ma(close, shortPeriod) slowMA = ma(close, longPeriod) // === Plot MAs === plot(fastMA, title="Fast MA", linewidth=2, color=color.green) plot(slowMA, title="Slow MA", linewidth=2, color=color.red) // === Crossover Conditions === buySignal = ta.crossover(fastMA, slowMA) sellSignal = ta.crossunder(fastMA, slowMA) // === Buy Label === if buySignal label.new(bar_index, low, "BUY 🚀", style=label.style_label_up, textcolor=color.white, color=color.green) // === Sell Label === if sellSignal label.new(bar_index, high, "SELL 🔻", style=label.style_label_down, textcolor=color.white, color=color.red)
อินดิเคเตอร์ Pine Script®
โดย johnwireko79
Two MA Crossover with Buy/Sell Labels//@version=5 indicator("Two MA Crossover with Buy/Sell Labels", overlay=true) // === User Inputs === shortPeriod = input.int(10, title="Fast MA Period") longPeriod = input.int(100, title="Slow MA Period") maType = input.string("EMA", title="MA Type", options= ) // === Moving Average Function === ma(src, length) => maType == "EMA" ? ta.ema(src, length) : ta.sma(src, length) // === Calculate MAs === fastMA = ma(close, shortPeriod) slowMA = ma(close, longPeriod) // === Plot MAs === plot(fastMA, title="Fast MA", linewidth=2, color=color.green) plot(slowMA, title="Slow MA", linewidth=2, color=color.red) // === Crossover Conditions === buySignal = ta.crossover(fastMA, slowMA) sellSignal = ta.crossunder(fastMA, slowMA) // === Buy Label === if buySignal label.new(bar_index, low, "BUY 🚀", style=label.style_label_up, textcolor=color.white, color=color.green) // === Sell Label === if sellSignal label.new(bar_index, high, "SELL 🔻", style=label.style_label_down, textcolor=color.white, color=color.red)
อินดิเคเตอร์ Pine Script®
โดย johnwireko79
HeikenAshi Trend Lite [SolQuant]The HeikenAshi Trend Lite indicator displays double-smoothed Heikin-Ashi candles on the current timeframe as a trend overlay. By applying two passes of EMA smoothing to Heikin-Ashi calculations, it filters out market noise to reveal clean trend direction. This is the free version of HeikenAshi Trend , providing the core double-smoothed HA trend visualization on a single timeframe without the multi-timeframe overlays available in the full version. █ USAGE Reading the Trend The indicator draws a filled ribbon representing the smoothed Heikin-Ashi body. When the smoothed HA close is above the smoothed HA open, the ribbon is bullish. When below, it is bearish. The body uses a semi-transparent fill, while the wick range is drawn with a lighter shade, creating a layered visual. Color changes represent confirmed trend shifts after double smoothing has absorbed enough price data. This filtering eliminates most false signals from choppy conditions. █ DETAILS The calculation follows three steps: 1 — EMA smoothing of raw OHLC values 2 — Heikin-Ashi transformation of the smoothed values 3 — Second EMA pass on the resulting HA values This double-smoothing approach reduces noise effectively while maintaining less lag than equivalent single-pass smoothing with very long periods. █ SETTINGS • EMA Length: Period for the first EMA smoothing pass (default: 10). • Smoothing Length: Period for the second EMA pass (default: 10). • Bullish / Bearish Color: Customizable trend colors. • Show Candles: Display traditional HA candle bodies alongside the ribbon. This indicator uses synthetic Heikin-Ashi values that do not represent actual traded prices. It does not constitute financial advice. Past performance does not guarantee future results.
อินดิเคเตอร์ Pine Script®
โดย lost_sol_
Ultimate NY 9:30 Open MarkerYour ultimate New York Open Marker... So you can analyze your charts when everybody else sleeps or parties, you crazy chart people! Works on every timeframe including custom ones. Customizable in settings: Marker Settings: - Default: Sky blue flag with background highlight and time label for the NY open as default. You can change all that in the settings. - Various marker shape options: Triangle, Diamond, Label Flag, Arrow Up/Down, Arrow this, Arrow that... So you can pick whatever annoys you the least lol - Auto-positioning: above bear candles, below bull candles (default) - or always above/below - 5 sizes from tiny to HUGE - Vertical offset fine-tuning - you can move your marker closer to the bar if you like, or farther from it Vertical Lines Options: - Line ON the 9:30 bar - Line BEFORE the 9:30 bar (so on 5min you'd see a line on 9:25, on 15min on 9:15, etc. - this way you can see the open candle well) - Solid, dotted, dashed, pick your poison Time Label Option: "9:30 EST" label (customizable text, color, size) Date Label Option: Four format options: - MM/DD/YY (American) - DD/MM/YY (European) - DD Mon. 'YY (Written, like "04 Feb. '26") - Mon DD, YYYY (Full) Plus optional day of week (short or full) Bonus: Background highlight option for the open bar The indicator handles DST automatically via the "America/New_York" timezone and works on any timeframe including custom ones. This is a repost, apparently you can't use caps in the title. Sorry about that. Let me know if you'd like any adjustments. Thanks. : )
อินดิเคเตอร์ Pine Script®
โดย Stokrotka
MTF RSI Confluence (3 TFs) + Table + AlertsThis indicator displays RSI confluence across three user-selectable timeframes in a single oscillator pane. It's designed to help you quickly confirm whether momentum conditions (overbought/oversold/neutral) align across multiple time horizons before acting. What it does - Plots three RSI lines at once, each sourced from a different timeframe (defaults: 5m / 15m / 1H ). - Applies independent overbought/oversold thresholds per timeframe , so each RSI can be evaluated with its own rules. - Shows a color-coded table summarizing: - timeframe - RSI value - status (OVERBOUGHT / NEUTRAL / OVERSOLD) - that timeframe's OB/OS levels - Highlights the pane background when there is full confluence: - All 3 overbought (red tint) - All 3 oversold (green tint) - Provides alert conditions when all three timeframes agree on overbought or oversold. How it works (key logic) - RSI is calculated per timeframe using request.security() with lookahead=barmerge.lookahead_off to avoid forward-looking values. - Each timeframe's RSI is classified: - RSI >= Overbought → Overbought - RSI <= Oversold → Oversold - otherwise → Neutral - Confluence triggers when all three statuses match (all overbought or all oversold). - Signals/alerts are gated by barstate.isconfirmed so the confluence events only trigger on confirmed bars (reduces repaint-like behavior on the current forming bar). How to use it 1. Add to chart (works on any symbol: crypto, forex, indices, stocks). 2. Configure: - RSI Length (1–200) - TF1 / TF2 / TF3 (any TradingView timeframe string) - OB/OS per timeframe with input constraints: - Overbought: 50–100 - Oversold: 0–50 - Optional: enable/disable the table and choose its position. 3. Interpret output: - RSI line colors reflect status (red = overbought, green = oversold, gray = neutral). - Table provides an at-a-glance confluence dashboard. - Use alerts for "all oversold" or "all overbought" as a filter for entries/exits or as a regime warning. Recommended usage - Works well on lower chart timeframes (1m–15m) to confirm setups with a higher timeframe (e.g., 1H / 4H). - Typical approach: - Look for all-oversold confluence during uptrends (potential pullback exhaustion). - Look for all-overbought confluence during downtrends (potential bounce exhaustion). - Consider pairing with trend context (moving averages, market structure) to avoid counter-trend signals. What makes it useful/original - Combines three MTF RSI readings + independent thresholds into one pane and a compact table, reducing chart clutter. - Uses non-forward-looking MTF data (lookahead_off) and confirmed-bar gating for more reliable confluence alerts. - Clear "traffic light" style status labeling to support fast discretionary decisions and alert-driven workflows. Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Alerts and signals are based on historical/hypothetical calculations and do not guarantee future results. Always manage risk and validate signals within your own trading plan.
อินดิเคเตอร์ Pine Script®
โดย bouch
Renko TimekeeperRenko charts delete time. This tool puts it back.The Renko Timekeeper prints a number next to every brick telling you exactly how many minutes that specific brick took to form.This converts a "Static Chart" into a "Velocity Chart." It allows you to spot Momentum Decay before the price actually reverses.1. The Visual GuideThe indicator prints a single number (e.g., 4.2) above or below every brick.Text ColorValue RangeEngineering StateInterpretationGREEN< 5.0High VelocityThe "Turbo" is on. Buyers/Sellers are aggressive. HOLD or ADD to the trade.GRAY5.0 – 15.0Normal CruiseThe trend is stable. Standard market breathing. HOLD.RED> 15.0STALL (Warning)The engine has died. The market is struggling to push price. EXIT immediately.
อินดิเคเตอร์ Pine Script®
โดย cechapman
ADAPTIVE SCALP MASTERADAPTIVE SCALP MASTER (ASM) Overview ADAPTIVE SCALP MASTER (ASM) is a high-performance technical analysis tool specifically engineered for scalpers and day traders. It combines statistical volatility analysis with a unique time-frame adaptation engine, allowing the script to automatically recalibrate its sensitivity whether you are trading the 1-minute chart or the 4-hour trend. The core logic is based on Z-Score Mean Reversion coupled with Zero-Lag Least Squares Moving Average (ZLSMA) for trend filtering, ensuring that you enter trades only when momentum and statistical overextension align. Key Features Timeframe Adaptation Engine: ASM automatically adjusts its Z-Score lengths, thresholds, and ATR multipliers based on your current chart. It tightens parameters for high-frequency scalping (M1-M5) and widens them for higher timeframes to filter out market noise. Z-Score Mean Reversion: Utilizes statistical standard deviation to identify overbought and oversold conditions with precision. Zero-Lag Trend Filtering: Features a customized ZLSMA to provide a smooth, reactive trend baseline without the lag of traditional MAs. Smart Risk Management: Automatically calculates dynamic Stop Loss and Take Profit levels based on current ATR volatility. Aggressive Scalping Mode: A specialized toggle for experienced traders that maximizes signal frequency by loosening standard confirmation filters. How It Works Normalization: The indicator calculates the price deviation (Z-Score). Adaptive Thresholds: It checks if the price has reached a statistically significant extreme (Overbought/Oversold). Multi-Stage Filtering: Trend Filter: Signals must align with the ZLSMA direction (optional). Volume Filter: Requires a surge in volume to confirm the move (optional). Candle Confirmation: Requires price action to flip in the signal's direction before firing. Execution: Once all conditions are met, the script plots entry shapes and dynamic risk levels. Settings Guide Aggressive Mode: Use this for fast-paced scalping on M1. It disables the trend and volume filters to capture every micro-reversal. Base Sensitivity: Controls how far back the Z-Score looks. Default is 10. Lower values make the indicator more reactive. Base Threshold: Standard is 1.5. Increase this value (e.g., to 2.0) if you want fewer, higher-probability signals. Min Bars Between: Use this to prevent "signal clustering" during periods of high volatility. User Interface The Info Panel provides real-time data including: Current Market Bias (Trend direction). Live Z-Score value. Current ATR-based volatility status. Trade Signal confirmation status.
อินดิเคเตอร์ Pine Script®
โดย TheHarmonySystems
2
Clusters Volume Profile [LuxAlgo]The Clusters Volume Profile indicator utilizes K-Means clustering to categorize historical price action into distinct groups and generates individual volume profiles for each detected cluster. This tool provides a unique perspective on volume distribution by isolating price behaviors based on proximity rather than strictly chronological order. 🔶 USAGE The indicator identifies "clusters" of price activity within a user-defined lookback period. Each cluster is assigned a unique color and its own horizontal volume profile, allowing traders to see where liquidity is most concentrated within specific price regimes. 🔹 Identifying Institutional Zones Traders can use the Point of Control (POC) of high-volume clusters to identify significant institutional interest. Because the K-Means algorithm groups price action by density rather than time, a cluster's POC often represents a "fair value" level where significant exchange occurred. These dashed POC lines frequently act as robust support or resistance levels when price returns to them in the future. 🔹 Market Regime Detection By observing the vertical distribution and overlap of clusters, traders can identify market phases. Overlapping clusters with high volume often indicate accumulation or distribution phases (sideways markets), whereas distinct, vertically separated clusters with lower volume gaps between them suggest a trending environment. A shift from multiple overlapping clusters to a new, isolated cluster can signal a breakout or the start of a new trend. 🔹 Precision Entry & Exits Cluster boundaries and POC lines provide concrete levels for trade management. An entry can be sought when price retests a high-volume cluster POC, while stops can be placed outside the total price range of that specific cluster (the area covered by its volume profile). Conversely, targets can be set at the POC of the next major cluster above or below current price action. 🔹 Volume Conviction The tool provides specific volume metrics that allow traders to gauge conviction. By comparing the "Total" volume label of one cluster against another, a trader can determine which price regime had more participation. A breakout into a price zone with a high-volume cluster suggests stronger conviction and a higher probability of the level holding compared to a zone with low total volume. 🔶 DETAILS The script employs a K-Means clustering algorithm. This process involves: Initializing "centroids" across the price range of the lookback period. Iteratively assigning each price bar to the nearest centroid based on the HLC2 (median) price. Recalculating centroids based on the volume-weighted average price of the assigned bars. Finalizing assignments after the specified number of iterations to ensure stable clusters. By separating price action into these clusters, the tool helps identify high-interest zones that might be obscured by a single, traditional Volume Profile. 🔶 SETTINGS 🔹 Clustering Settings Lookback Period: Determines the number of recent bars used for the clustering analysis. Number of Clusters: Sets how many distinct price groups the algorithm should attempt to find (2 to 10). K-Means Iterations: Controls the number of times the algorithm refines the cluster centers. Higher values can lead to more stable results. 🔹 Volume Profile Settings Rows per Cluster VP: Defines the vertical resolution (number of bins) for each individual cluster's profile. Max VP Width (Bars): Sets the maximum horizontal length of the volume profile histograms. VP Offset: Adjusts the horizontal spacing between the current bar and the start of the volume profiles. Highlight Price Dots: Toggles the visibility of the colored dots on the price action to identify cluster assignments. Dot Size: Adjusts the size of the cluster assignment dots on the chart, ranging from tiny to huge.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
4
Outlier Catching Moving AverageOutlier Catching Moving Average (OCMA) | MisinkoMaster Outlier Catching Moving Average (OCMA) is a volatility-adaptive trend indicator designed to react quickly to abnormal price movements while maintaining smooth behavior during normal market conditions. The indicator aims to capture sudden price expansions without sacrificing overall trend clarity. This makes OCMA suitable for traders who want faster adaptation to unusual market activity while still preserving stable trend structure across varying volatility regimes. Key Features Volatility-adaptive moving average designed to react to price outliers Multiple moving average bases supported for flexible smoothing behavior Optional ATR-based adaptive bands for volatility envelopes Configurable trend logic for earlier signals or stronger confirmations Dynamic candle coloring for intuitive trend visualization Automatic Long and Short markers on confirmed trend transitions Designed to balance responsiveness and smoothness across market conditions How It Works OCMA builds on traditional moving average concepts but incorporates adaptive smoothing that adjusts according to changing market volatility. Rather than behaving uniformly across all conditions, the average becomes more responsive when price behavior deviates strongly from recent structure and smoother when markets return to normal activity. Optional ATR bands expand and contract with volatility, helping identify when price moves significantly away from its adaptive equilibrium. The result is a moving average that remains stable in calm markets yet quickly adapts when price action becomes irregular or impulsive. Inputs Overview Source — Selects the price data used in calculations Moving Average Length — Controls the main smoothing period ATR Length — Sets the volatility measurement period used for band calculations Base Moving Average — Selects which moving average type is used as the foundation Trend Logic — Chooses whether trends are detected via band crossover, average direction change, or both Use ATR Bands — Enables or disables adaptive volatility bands Factor — Controls ATR band width sensitivity ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected Usage Notes Designed to detect abnormal price expansions while preserving overall trend structure Suitable for breakout traders and volatility-aware trend strategies Band crossovers can signal potential trend transitions Average direction changes may confirm continuation or reversal Works well when combined with market structure or confirmation tools Adjust parameters according to asset volatility and timeframe Summary Outlier Catching Moving Average provides a volatility-aware alternative to standard moving averages, helping traders capture unusual price behavior while maintaining smooth and readable trend signals. It is well suited for traders seeking adaptive trend tools capable of responding when markets move outside normal conditions.
อินดิเคเตอร์ Pine Script®
โดย MisinkoMaster
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior. Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes. Key Features Moving average designed to resist distortion from price outliers Adaptive smoothing behavior that reacts to volatility conditions Optional ATR-based dynamic bands for trend confirmation Multiple moving average types supported as the calculation base Flexible trend detection logic options Automatic trend coloring and signal labeling Candle coloring for intuitive trend visualization How It Works ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions. When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely. Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes. The result is a moving average that remains stable in noisy markets while still adapting during real trend movements. Inputs Overview Source — Selects the price source used in calculations Moving Average Length — Controls smoothing and calculation sensitivity ATR Length — Controls volatility measurement used for adaptive behavior Base Moving Average — Selects which MA type forms the calculation foundation Trend Logic — Determines whether trend is detected via crossover, slope change, or both Use ATR Bands — Enables or disables dynamic ATR bands ATR Factor — Controls band distance from the average ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected Floored Offset — Optional ALMA configuration affecting smoothing behavior Usage Notes Useful for filtering noise during volatile or choppy markets ATR bands can help confirm stronger breakouts or trend continuation Trend logic modes allow adaptation to different trading styles Suitable for swing trading, trend-following, and position trading approaches Can act as dynamic support or resistance in trending markets Works well when combined with momentum or volume confirmation tools Summary Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
อินดิเคเตอร์ Pine Script®
โดย MisinkoMaster
2
Forward Path (ATR Drift) + Confidence [v6]This indicator helps traders visualize where price is statistically likely to travel, how wide the uncertainty is, and how confident history has been in similar conditions — all without claiming to “predict” the market. What this indicator does This indicator projects a probable future price path for the next 15 / 20 / 30 candles on any chart and timeframe. It combines: Trend direction (EMA slope) Volatility (ATR) Historical behavior in similar market conditions to show where price is likely to travel and how confident that expectation is. What you see on the chart Solid forward line → The most likely price path based on current trend momentum. Dotted upper & lower lines → Expected price range using current volatility (ATR). Think of this as the probable zone, not a target. Confidence label Prob Up (%) – how often price moved higher after N candles in similar conditions Prob Down (%) – how often price moved lower These are historical probabilities, not predictions. How to use it (simple & practical) 1️⃣ Directional bias If the projected path slopes up and Prob Up > 60%, the market favors longs. If the path slopes down and Prob Down > 60%, the market favors shorts. Near 50/50 → no edge, wait for structure or confirmation. 2️⃣ Expectation setting Use the projection length (15 / 20 / 30 bars) to match your trade horizon. Don’t expect price to exceed the dotted bands easily — they represent normal volatility. 3️⃣ Risk & trade management Entries near the base path = better risk-reward. Use the opposite band as a guide for: Stop placement Partial profit booking Wide bands = reduce position size. 4️⃣ Trade filtering Take trades only when your setup aligns with the projected direction. Skip trades when: Probability is low Bands are extremely wide Projection is flat (range-bound market) Best use cases Swing trading Trade planning before entry Position sizing & expectation control Avoiding low-edge, random trades What this indicator is NOT ❌ A price predictor ❌ A buy/sell signal generator ❌ A replacement for price action It is a decision-support tool designed to visualize direction, uncertainty, and historical confidence.
อินดิเคเตอร์ Pine Script®
โดย saksenarohit
RSI Primed [ChartPrime] with AlertRSI Primed with Alert Signal alert functionality added to the original version. Signal logic is as follows: 1. Uses EMA100 slope to filter trend direction 2. During EMA100 bullish trend, triggers oversold zone alert when RSI-MA turns in the oversold zone, consider buying the pullback; 3. During EMA100 bearish trend, triggers overbought zone alert when RSI-MA turns in the overbought zone, consider shorting the bounce; 4. Signal alerts are for reference only to improve chart monitoring efficiency. Not recommended for direct entry conditions - should be considered in conjunction with other factors. RSI Primed with Alert 在原版基础上增加信号警报功能，信号逻辑如下： 1. 使用EMA100的斜率来过滤趋势方向 2. EMA100多头趋势时，RSI-MA在超卖区拐头时发出超卖区警报，可以考虑回调做多； 3. EMA100空头趋势时，RSI-MA在超买区拐头时发出超买区警报，可以考虑反弹做空； 4. 信号警报仅作为提高盯盘效率的参考，不建议直接用于入场条件，需参考其他条件综合考虑。
อินดิเคเตอร์ Pine Script®
โดย barryzhang
Moving Average Momentum Bands📊 MA Momentum Bands - Crossover Detection with Predictive Signals Overview Advanced moving average system with intelligent crossover detection and early warning predictive signals. Designed to catch trend changes with precise timing while filtering out choppy market noise. Key Features 📈 4 Customizable Moving Averages Choose from EMA, SMA, SMMA (RMA), WMA, or VWMA Adjustable periods and colors Visual fill zones between MA pairs ✓ Confirmed Crossover Signals Fires on actual MA crossover with confirmation filters Slope Filter: Requires slow MA to be trending (filters choppy markets) Acceleration Filter: Detects momentum shifts and deceleration (catches reversals) Highly configurable thresholds for different trading styles ⚠ Predictive Signals (Optional) Early warning system fires 1-8 bars BEFORE actual crossover Velocity-based calculation estimates when crossover will occur Smart debouncing prevents signal spam (fires once per setup) Auto-resets after crossover or when prediction fails 🔍 Debug Table Real-time metrics: MA slope, acceleration, velocity, distance "Bars Until Cross" prediction countdown Perfect for fine-tuning settings How It Works Confirmed Signals (✓ triangles): Fast MA crosses Slow MA Slow MA must be trending (slope > threshold) OR decelerating Filters ensure quality signals in trending markets Predictive Signals (⚠ triangles): Calculates MA velocities (rate of change) Estimates bars until crossover based on approach speed Fires early warning when crossover imminent Only fires once per setup (no spam) Best Use Cases Swing Trading: Catch trend changes early with predictive signals Trend Following: Use confirmed signals for high-probability entries Multi-Timeframe: Combine with higher TF analysis for confirmation Filter for Other Strategies: Add MA crossover confirmation to your existing system Recommended Settings Conservative (Fewer, Higher Quality Signals): Slope Threshold: 0.002-0.005 Acceleration Filter: ON Predict Bars Ahead: 5-8 Balanced (Default): Slope Threshold: 0.001-0.002 Acceleration Filter: ON Predict Bars Ahead: 3-5 Aggressive (More Signals, Earlier Entries): Slope Threshold: 0.0001 Acceleration Filter: OFF Predict Bars Ahead: 1-3 Quick Start Add to chart - confirmed signals work immediately Adjust slope/acceleration filters to match your timeframe Enable predictive signals for early entries Use debug table to fine-tune settings Set up alerts for hands-free trading Alerts Included Bullish/Bearish MA Cross (confirmed) Predictive Bullish/Bearish Cross (early warning) Perfect for traders who want to catch trend changes early while avoiding false signals in choppy markets!
อินดิเคเตอร์ Pine Script®
โดย c_bergfeldt