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Scalping

StO Price Action - Gold Timings | LiquidityShort Summary - Identifies statistically 5-minute candles (Source: Oanda, M5) - Classifies them into four intensity levels - Highlights timing and liquidity concentrations Full Description Method - Analyzes one year of 5-minute candle data - Compares each candle to its previous candle - Selects candles with unusually large differences - Uses either candle range or volume as data source - Groups selected candles into four levels - All levels represent above-average activity Overview - Designed to detect abnormal intraday expansion - Highlights moments of aggressive participation - Works as a timing and liquidity mapping tool - Can be based on volatility (range) or participation (volume) - Helps identify recurring high-impact periods - Level Structure - 0: Highest expansion or volume spikes - 1: Very strong expansion - 2: Strong expansion - 3: Elevated but moderate expansion - Each level can be individually enabled or hidden - Each level has customizable color coding Usage - Choose between Range or Volume as primary metric - Enable only the intensity levels relevant to your strategy - Use levels to identify high-liquidity windows - Combine with structure, liquidity sweeps, or order blocks - Observe clustering behavior across sessions Future Bars - Projects statistical timing to next day - Can hide the current developing period - Allows small hour shifts to adjust session alignment Notes - Does not predict direction, only intensity - Best used as timing confirmation, not entry signal - Range mode emphasizes volatility - Volume mode emphasizes participation - Particularly useful for session opens and news-driven markets
อินดิเคเตอร์ Pine Script®
โดย sto_svc
Footprint Data Test [Zofesu]🎯 Verify your Data Integrity with Institutional Precision. This diagnostic tool is designed to verify if your current broker and symbol provide real-time Footprint Data (Intrabar Volume). Before deploying complex Order Flow strategies or Delta-based indicators, a trader must ensure the "fuel" (data) is active and accurate. 🧠 How it Works The engine utilizes the latest Pine Script v6 request.footprint method to attempt a connection to the exchange’s tick-level database. It checks for the presence of Buy/Sell volume distributions within each bar, which is the foundation for tracking large institutional orders. 🛠️ Core Components 📊 Status Table: A clean, non-intrusive UI element at the bottom of your chart that provides an instant diagnostic result. ✅ Data Active: Confirms that your broker provides real-time footprint/tick data. You can proceed with Order Flow, Delta, and Volume Profile strategies. ❗ No Data / Not Supported: Indicates that the current symbol or broker only provides basic price data. In this case, Volume Delta or Footprint-based indicators will not function correctly. You will see an error at the top left, next to the indicator. ⚙️ Strategic Application Broker Verification: Use this tool when switching between brokers (e.g., IC Markets vs. Binance vs. CME) to see who provides the most transparent data. Symbol Compatibility: Not all assets support footprint data. Test your Nasdaq (NQ), S&P 500 (ES), or BTC pairs before relying on volume analysis. The Green Light: Only when you see the "Data Active ✅" status should you trust indicators that claim to track "Big Boys" or "Smart Money" orders. 🚀 Technical Settings (Zofesu Optimized) Lookback (10): A focused sample of recent bars to verify connection stability without overloading the processor. Visual Position: Anchored to the Bottom Center to keep your main workspace clean for price action analysis. 📚 Experience and practice Many CFD brokers "simulate" volume, but this test looks for real Footprint distribution. If you get a red status on a stock or index, you likely need a "Real-Time Data Subscription" from the exchange (CME, NYSE). On Crypto pairs (BTCUSD, ETHUSD), this should almost always be Green. If it's Red on Crypto, check if you are on a "Spot" or "Futures" chart, as data availability may vary. ⚠️ Disclaimer Data availability is subject to your TradingView plan and broker's data feed. This tool does not generate trade signals; it validates the technical environment for professional decision-making.
อินดิเคเตอร์ Pine Script®
โดย Zofesu
Volume Weighted Trend [QuantAlgo]🟢 Overview The Volume Weighted Trend indicator identifies statistically significant trend changes by combining volume-weighted price analysis with volatility-based breakout bands. It calculates a Volume Weighted Moving Average (VWMA) as the central trend baseline, then creates dynamic upper and lower bands using Average True Range (ATR) multipliers to define normal volatility boundaries. When price breaks above the upper band or below the lower band, it signals a confirmed trend change, helping traders and investors identify directional shifts driven by both volume-weighted momentum and volatility expansion across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its dual-layer approach combining volume weighting with volatility filtering, where trend changes require both price direction and statistical significance: vwma_basis = ta.vwma(close, vwma_length) atr_value = ta.atr(vwma_length) upper_band = vwma_basis + atr_value * atr_multiplier lower_band = vwma_basis - atr_value * atr_multiplier First, the script calculates the Volume Weighted Moving Average to establish a trend baseline that gives greater weight to periods with higher trading volume, ensuring the trend line reflects significant participation and genuine market conviction rather than low-volume noise. Then, it measures the Average True Range over the same period to quantify current market volatility: atr_value = ta.atr(vwma_length) Next, dynamic volatility bands are constructed by adding and subtracting ATR-based buffers from the VWMA baseline, creating adaptive boundaries that expand during volatile conditions and contract during calm periods: upper_band = vwma_basis + atr_value * atr_multiplier lower_band = vwma_basis - atr_value * atr_multiplier The trend state is then determined through breakout logic that requires price to exceed these volatility-adjusted boundaries: if close > upper_band trend_direction := 1 else if close < lower_band trend_direction := -1 Finally, trend change detection identifies transitions between bullish and bearish states: trend_turned_bullish = trend_direction == 1 and trend_direction != 1 trend_turned_bearish = trend_direction == -1 and trend_direction != -1 This creates a robust trend-following system that only signals directional changes when price makes statistically significant moves beyond normal volatility bounds, with volume weighting ensuring the trend reflects meaningful market activity rather than thin-volume spikes. 🟢 Signal Interpretation ▶ Bullish Trend (Price Above Upper Band): When price closes above the upper volatility band, the indicator switches to bullish mode with green/bullish coloring throughout all visual elements = Confirmed uptrend signal for trend-following long positions. The trend remains bullish until price breaks below the lower band, allowing traders to stay positioned during sustained upward momentum without premature exits on minor pullbacks within the band range. ▶ Bearish Trend (Price Below Lower Band): When price closes below the lower volatility band, the indicator switches to bearish mode with red/bearish coloring throughout all visual elements = Confirmed downtrend signal for trend-following short positions or long exit signals. The trend remains bearish until price breaks above the upper band, enabling traders to maintain directional bias through corrective moves that stay within the band boundaries. ▶ Neutral Zone (Price Between Bands): When price trades between the upper and lower volatility bands, the indicator maintains its previous trend direction = Continuation of existing trend during consolidation or normal volatility retracements. This design prevents whipsaws during sideways action by requiring price to make a significant move beyond opposite-side bands to trigger trend reversal, rather than flip-flopping on minor crosses of the VWMA center line. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced trend detection for swing trading on 4-hour and daily charts, filtering noise effectively while capturing meaningful trend changes. "Fast Response" delivers quicker trend signals for intraday trading on 5-minute to 1-hour charts, with tighter bands triggering earlier on breakouts for active traders who can monitor positions closely. "Smooth Trend" focuses on major trend changes for position trading on daily to weekly timeframes, with wider bands filtering out minor fluctuations to identify only primary directional shifts. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend changes without constant chart watching. "Bullish Trend Signal" triggers when the indicator switches to bullish mode after price breaks above the upper band, alerting for potential long entries. "Bearish Trend Signal" activates when the indicator switches to bearish mode after price breaks below the lower band, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities with a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, with coordinated bullish and bearish color schemes applied across all indicator elements. Optional neon glow effect creates layered visual emphasis around the central VWMA line with three overlapping plots at different transparencies, making the trend line more prominent and easier to track (ideal for charts with multiple indicators where visual distinction is important). Optional volatility ribbons display gradient fills between the VWMA and band boundaries, providing visual context for price position relative to breakout thresholds with adjustable band transparency (0-100%) to control prominence. Optional bar coloring tints price bars with trend-appropriate colors during bullish and bearish periods, enabling instant visual confirmation of trend state across multiple timeframes without switching between chart and indicator panels.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
22
Quant Professional【设计理念 / Design Philosophy】 "Speed is the edge." This script is dedicated to ultra-short-term traders and scalpers. The core philosophy is "Small Gains, High Frequency" (积少成多). By capturing the very first micro-reversal point without the lag of moving averages, it allows traders to enter and exit quickly before the noise of the market takes over. “天下武功，唯快不破。” 本脚本专为超短线及日内交易者（Scalpers）设计。核心逻辑在于 “快进快出，积少成多” 。通过不带滞后的价格行为状态机，它能在趋势转折的第一个微小瞬间发出信号，助你在市场噪音干扰前完成套利。 【技术核心 / Technical Highlights】 State-Machine Logic: Utilizing a 12-level recursive price-action matrix to track momentum persistence. It only triggers when a long-term bearish sequence is decisively broken. Zero Lag: Unlike EMA or MACD, this indicator relies solely on raw price levels (Close vs. Ref Close), ensuring the "Entry" is at the earliest possible stage. High Frequency: Optimized for 1m, 5m, and 15m timeframes to provide consistent opportunities for accumulating small, steady profits. 状态机逻辑： 采用 12 级递归价格行为矩阵追踪动能持续性。只有当长期的空头序列被果断打破时，才会触发信号。 零滞后性： 不同于 EMA 或 MACD 等指标，该系统完全依赖原始收盘价对比，确保在转折初期即可入场。 高频机会： 针对 1天周期优化，为“积少成多”的复利策略提供源源不断的波段机会。 【实战策略 / Trading Strategy】 Fast Entry: Enter immediately when the "积少成多" arrow appears. Fast Exit: Target a fixed small percentage (e.g., 0.5% - 1.5%) or exit when price fails to break the high of the next two bars. Risk Management: Strict stop-loss at the signal bar's low. Focus on win rate and turnover speed, not huge single-trade gains. 快速入场： 当“积少成多”红色箭头出现时，果断切入。 快速离场： 设定较小的固定盈亏比（如 0.5%-1.5%）或在随后两根 K 线未能突破新高时主动退出。 风险控制： 止损严格设在信号 K 线的最低价。核心在于提高周转率和胜率，而非追求单笔暴利。
อินดิเคเตอร์ Pine Script®
โดย william_wq
StO Price Action - OrderblockShort Summary - Displays bullish and bearish Order Blocks on the chart - Highlights active, mitigated, and tapped Order Blocks - Designed for structure- and price-action-based trading Full Description Overview Identifies Order Blocks using pivot-based market structure Bullish Order Blocks originate from down candles before impulsive moves up Bearish Order Blocks originate from up candles before impulsive moves down Order Blocks are visualized as price zones with optional fill and borders Mitigated Order Blocks can be kept visible as historical context Consequent Encroachment (CE) line marks the 50% level of the block Handling Multi-timeframe capable Order Block detection Clear visual distinction between bullish and bearish zones Optional highlighting when price taps an Order Block Supports clean chart layouts with customizable colors and styles Designed to work with discretionary and systematic approaches Usage Select the timeframe used for Order Block detection Adjust pivot lookback to control sensitivity Enable or disable historical (mitigated) Order Blocks Use highlight-on-touch to spot active interactions Apply filters such as minimum body size, ATR displacement or EMA trend Notes Order Blocks do not predict direction, they mark areas of interest Once detected, Order Blocks remain static and do not repaint Higher pivot lengths produce fewer but stronger Order Blocks ATR and body-percentage filters reduce noise in ranging markets Best combined with market structure, liquidity or entry confirmation tools
อินดิเคเตอร์ Pine Script®
โดย sto_svc
StO Price Action - Buy | Sell Side LiquidityShort Summary - Visualizes Buy-Side and Sell-Side Liquidity levels - Highlights resting liquidity above highs and below lows - Designed for price-action and liquidity-based trading Full Description Overview - Detects liquidity pools using pivot-based price structure - Buy-Side Liquidity (BSL) forms above relative highs - Sell-Side Liquidity (SSL) forms below relative lows - Liquidity levels represent areas where stop orders are likely resting - Levels are extended forward to visualize potential draw-on-liquidity zones - Optional historical liquidity tracking for contextual analysis Handling - Focuses on price-driven liquidity rather than indicators - Supports BSL only, SSL only or combined visualization - Uses configurable pivot lookback to define significant swings - Distinguishes active liquidity from historical liquidity - Clean, minimal chart overlay with customizable styles Usage - Select which liquidity side to display (BSL, SSL or both) - Adjust pivot lookback to control sensitivity - Configure line length and extension behavior - Enable history mode to keep older liquidity levels visible - Use liquidity levels as targets, reaction zones or confluence areas Notes - Liquidity levels do not predict direction, only attraction - Once plotted, levels remain static and do not repaint - Higher lookback values produce fewer but stronger levels - Best combined with market structure, entries, or rejection logic - Particularly effective around session highs and lows
อินดิเคเตอร์ Pine Script®
โดย sto_svc
XAUUSD 1-Minute Scalping Strategy - Advanced Strategy for ExitsThis is a **mean-reversion scalping strategy** optimized for **XAUUSD on the 1-minute (or the 5-minute) timeframe**. It combines a classic **RSI(14)** oscillator with an optional **200-period EMA trend filter** to identify short-term overextended conditions in gold price action, while enforcing fixed, conservative exits to maintain strict risk control. ### Core Logic & Why This Combination: The strategy enters counter-trend when RSI reaches extreme levels (below 30 for longs, above 70 for shorts), capturing quick snap-backs that frequently occur in gold's intraday volatility. - **RSI(14)** acts as the primary momentum filter — detecting oversold/overbought exhaustion. - The **200 EMA trend filter** (enabled by default) adds directional context: longs are allowed only when price is above the EMA (overall uptrend bias), shorts only below it (downtrend bias). This reduces whipsaws in strong trending sessions and improves trade quality without overly restricting opportunities. - Disabling the trend filter allows pure mean-reversion trading (useful in ranging/Asian sessions), but enabling it is strongly recommended for better expectancy in most market conditions. Entries occur only when flat (no pyramiding), keeping the system clean and directional. ### Exit Rules (Fixed at Entry): - **Take Profit**: +10 pips (0.10 in XAUUSD price terms) - **Stop Loss**: -5 pips (0.05 in price terms) - **Risk:Reward** = 1:2 Exits are **set once on the entry bar** using limit/stop orders — this prevents dynamic recalculation and mimics real broker behavior more closely. The 2:1 RR gives the strategy mathematical edge even with moderate win rates. ### Performance & Realism Guidelines: This strategy is tuned for **high-frequency scalping** on gold, which typically produces hundreds to thousands of trades per year on 1-minute data. Recommended **backtest/publication settings** (update these in the strategy properties before publishing): - **Initial Capital**: $10,000 – $50,000 (realistic for retail prop/swing traders; the script defaults to $1,000,000 only for visual scaling — change it!) - **Order Size**: Fixed 0.10–0.50 lots (adjust according to account size) - **Commission**: 3–7 USD per round-turn lot (typical ECN/raw-spread gold commission on brokers like IC Markets, Pepperstone, etc.) - **Slippage**: 2–5 ticks (≈0.02–0.05 in price) — gold can be slippery during news/volatility spikes on 1-minute charts - **Pyramiding**: 1 (default — no stacking) - **Dataset**: At minimum 1–3 years of 1-minute data (aim for >500–1000 closed trades for statistical significance) With realistic costs applied, expect win rate ≈55–70%, profit factor >1.4–1.8 in favorable periods, but results vary significantly across trending vs. ranging regimes and news events. **Risk per trade** remains very controlled (typically <0.5–1.5% depending on SL distance and position sizing) — never exceeds sustainable levels. ### Important Usage Notes: - Check thoroughly the curve-fitted back tests. - Gold is extremely volatile on 1-minute charts; check major news (NFP, FOMC, FED) unless you widen SL/TP dynamically (you can manually implement it here). - Always forward-test on demo first and use proper position sizing. - The built-in dashboard shows live stats (net P&L, win rate, profit factor, current RSI, position status, etc.) for quick monitoring. - Restricted Sample Size for Precision Happy scalping — trade responsibly! 🚀
กลยุทธ์ Pine Script®
โดย uzair2join
Relative Valuation Oscillator [QuantAlgo]🟢 Overview The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation: log_price = math.log(close) mean_log_price = ta.sma(log_price, lookback_period) standard_deviation = ta.stdev(log_price, lookback_period) valuation_score = (log_price - mean_log_price) / standard_deviation First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes. Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference: mean_log_price = ta.sma(log_price, lookback_period) Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior: standard_deviation = ta.stdev(log_price, lookback_period) The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero: valuation_score = (log_price - mean_log_price) / standard_deviation Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples: is_overvalued = valuation_score > threshold_mult is_undervalued = valuation_score < -threshold_mult This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation. 🟢 Signal Interpretation ▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies ▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities ▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold. ▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers. ▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
AI Market Assistant [FundedLab]AI Market Assistant – Your Institutional-Grade Co-Pilot Do you know exactly where you stand in the market cycle? Most retail traders fail because they trade against the dominant trend. I created the AI Market Assistant to solve this problem. It is a comprehensive dashboard that processes multi-timeframe data and Macroeconomics to provide a clear, objective market bias. ⚙️ Customizable Trend Logic: The system adapts to your specific trading personality: Fully Adjustable Timeframes: You are not limited to the default settings. You can freely select your preferred Lower Timeframe (LTF) and Higher Timeframe (HTF) in the settings to match your scalping or swing trading strategy. Select "VWAP" for Intraday Precision : Ideal for catching moves that align with today’s institutional volume. Select "EMA 200" for Swing Structure : Ideal for holding positions and riding the broader market wave. 🚀 Advanced Capabilities: Macro Analysis Panel: Automatically analyzes the Dollar Index (DXY) and US10Y Yields to determine if the macro environment supports your trade (Bullish vs. Bearish Impact). Multi-Language Support: Fully localized for 🇹🇭 🇬🇧 🇨🇳 🇰🇷. Zero-Lag Decision Engine: Utilizing "Stable Mode" to ensure signals are confirmed on closed bars—eliminating false signals and repainting. 💡 Why You Need This Tool: No More Noise: The AI filters out choppy markets (Sideways) and tells you to "WAIT" instead of forcing a trade. Conflict Detection: It checks if the Short-term trend (LTF) agrees with the Long-term trend (HTF). If they disagree, it saves you from a bad trade. Macro Safety: Real-time warnings based on DXY/Bond movements. Don't buy Gold if the DXY is skyrocketing—this tool warns you first. Level up your trading desk with the same data the pros use.
อินดิเคเตอร์ Pine Script®
โดย FundedLab
Adaptive Kinetic Ribbon [QuantAlgo]🟢 Overview The Adaptive Kinetic Ribbon indicator synthesizes price velocity and volatility dynamics to identify trend direction, momentum strength, and acceleration phases across varying market conditions. It combines velocity-based momentum measurement, adaptive volatility weighting, dual-speed ribbon analysis, and acceleration-deceleration detection into a unified visual system that quantifies periods of sustained directional movement and momentum shifts, helping traders and investors identify trend continuation and reversal signals across various timeframes and asset classes. 🟢 How It Works The indicator's core methodology lies in its adaptive kinetic approach, where velocity and volatility components are calculated dynamically and then smoothed through an adaptive alpha mechanism. First, Velocity is measured to capture raw directional momentum by calculating the net price change over the lookback period: velocity = source - source This creates a momentum vector that quantifies how far and in which direction price has moved, providing the foundation for understanding trend strength and establishing whether the market is in a sustained directional phase. Then, Volatility is computed to evaluate price variability and market noise by analyzing the standard deviation of bar-to-bar price changes: volatility = ta.stdev(source - source , length) * mult The volatility sensitivity multiplier allows traders to adjust how responsive the indicator is to market noise, with higher values creating faster adaptation during volatile periods and lower values maintaining stability during choppy conditions. Next, Adaptive Alpha is calculated to create a dynamic smoothing coefficient that automatically adjusts based on the relationship between velocity and volatility: adaptive_alpha = math.abs(velocity) / (math.abs(velocity) + volatility) This alpha value ranges from 0 to 1, where values closer to 1 indicate strong, clear directional movement (high velocity relative to volatility), causing the indicator to respond quickly, while values closer to 0 indicate noisy, range-bound conditions (high volatility relative to velocity), causing the indicator to smooth more heavily and filter out false signals. Following this, the Kinetic Line is constructed using exponential smoothing with the adaptive alpha coefficient: var float kinetic_line = na kinetic_line := na(kinetic_line ) ? source : kinetic_line + adaptive_alpha * (source - kinetic_line ) This creates an adaptive moving average that automatically adjusts its responsiveness: during strong trends with clear velocity, it tracks price closely like a fast EMA; during choppy, volatile periods, it smooths heavily like a slow SMA, providing optimal trend identification across varying market regimes without manual parameter adjustment. Then, Ribbon Lines are generated by applying additional moving average smoothing to the kinetic line at two different speeds: ribbon_fast = ma(kinetic_line, ribbon_fast_length, ma_type) ribbon_slow = ma(kinetic_line, ribbon_slow_length, ma_type) The dual-ribbon structure creates a visual envelope around the kinetic line, where the fast ribbon responds quickly to kinetic changes while the slow ribbon provides trend confirmation, with crossovers between these ribbons generating primary trend reversal signals. Finally, Trend State and Acceleration are determined by analyzing the relative positioning and directional movement of the ribbon lines: trend_up = ribbon_fast > ribbon_slow acceleration = ribbon_fast > ribbon_fast ribbonColor = trend_up ? acceleration ? bullAccel : bullDecel : not acceleration ? bearAccel : bearDecel This creates a four-state classification system that distinguishes between bullish acceleration (uptrend strengthening), bullish deceleration (uptrend weakening), bearish acceleration (downtrend strengthening), and bearish deceleration (downtrend weakening), providing traders with nuanced momentum insights beyond simple bullish/bearish binary signals. 🟢 Signal Interpretation ▶ Bullish Acceleration (Bright Green): Fast ribbon above slow ribbon AND fast ribbon rising, indicating confirmed uptrend with building momentum = Strongest bullish condition, ideal for new long entries, adding to positions, or holding existing longs with confidence ▶ Bullish Deceleration (Dark Green): Fast ribbon above slow ribbon BUT fast ribbon falling, indicating uptrend intact but momentum weakening = Caution signal for longs, potential trend exhaustion developing, consider tightening stops or taking partial profits ▶ Bearish Acceleration (Bright Red): Fast ribbon below slow ribbon AND fast ribbon falling, indicating confirmed downtrend with building momentum = Strongest bearish condition, ideal for new short entries, exiting longs, or maintaining defensive positioning ▶ Bearish Deceleration (Dark Red): Fast ribbon below slow ribbon BUT fast ribbon rising, indicating downtrend intact but momentum weakening = Caution signal for shorts, potential trend exhaustion developing, prepare for possible reversal or consolidation ▶ Bullish Crossover: Fast ribbon crosses above slow ribbon, signaling trend reversal from bearish to bullish and initiation of new upward momentum phase = Primary buy signal, entry opportunity for trend-following strategies, exit signal for short positions ▶ Bearish Crossover: Fast ribbon crosses below slow ribbon, signaling trend reversal from bullish to bearish and initiation of new downward momentum phase = Primary sell signal, entry opportunity for short strategies, exit signal for long positions ▶ Ribbon Spread Width: Distance between fast and slow ribbons indicates trend strength and conviction, where wider spreads suggest strong, sustained directional movement with low reversal probability, while tight or converging ribbons indicate weak trends, consolidation, or impending reversal conditions ▶ Bar Color Alignment: When bar coloring is enabled, candlestick colors mirror the ribbon state providing immediate visual confirmation of momentum conditions directly on price action, eliminating the need to reference the indicator separately and enabling faster decision-making during active trading 🟢 Features ▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches: "Default" provides balanced trend identification suitable for swing trading on 4-hour and daily charts, "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 5-minute to 1-hour charts, and "Smooth Trend" offers conservative trend identification ideal for position trading and long-term analysis on daily to weekly charts. ▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend reversals and momentum transitions. "Bullish Crossover" triggers when the fast ribbon crosses above the slow ribbon, signaling the shift from downtrend to uptrend and the beginning of bullish momentum building. "Bearish Crossover" activates when the fast ribbon crosses below the slow ribbon, signaling the shift from uptrend to downtrend and the beginning of bearish momentum building. "Any Ribbon Crossover" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general trend reversal monitoring and ensuring no momentum shift goes unnoticed. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of acceleration versus deceleration states across various devices and screen sizes. Each preset uses distinct colors for the four momentum states (bullish acceleration, bullish deceleration, bearish acceleration, bearish deceleration) with proper visual hierarchy. Optional bar coloring with adjustable transparency provides instant visual context of current momentum state and trend direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess trend positioning and acceleration dynamics while analyzing price action patterns and support/resistance levels.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
2
ATR ZLEMA [QuantAlgo]🟢 Overview The ATR ZLEMA indicator identifies trend direction and reversal points using a Zero Lag Exponential Moving Average (ZLEMA) combined with volatility-adjusted dynamic trailing stops. It eliminates the inherent lag of traditional moving averages while incorporating Average True Range (ATR) volatility measurement to create adaptive support and resistance levels that automatically adjust to market conditions, with optional noise filtering to reduce whipsaws in choppy markets, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes. 🟢 How It Works The indicator's core methodology lies in its zero-lag trend detection system combined with volatility-adaptive trailing stops, where the ZLEMA eliminates moving average lag while ATR-based bands provide dynamic support and resistance levels: lag = math.floor((zlemaLength - 1) / 2) rawZlema = ta.ema(source + (source - source ), zlemaLength) The Zero Lag EMA calculation uses lag reduction through data compensation, adding the difference between current price and lagged price to eliminate the delay inherent in traditional exponential moving averages, providing faster response to trend changes while maintaining smoothness. The script incorporates an optional ATR-based noise filter that prevents the ZLEMA from updating during insignificant price movements, helping to reduce false signals in choppy, range-bound markets: if enableNoiseFilter noiseThreshold = atr * noiseFilter priceChange = math.abs(rawZlema - zlema) if priceChange > noiseThreshold zlema := rawZlema First, the indicator calculates the Average True Range to measure current market volatility, then applies a user-defined multiplier to determine the distance of the trailing stop from the ZLEMA: atr = ta.rma(ta.tr(true), atrLength) atrBand = atr * atrMultiplier Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether the ZLEMA is above or below the ATR trailing line, automatically adjusting the trailing stop position: if trend == 1 if zlema < zlemaATR trend := -1 zlemaATR := zlema + atrBand else zlemaATR := math.max(zlemaATR, zlema - atrBand) The ATR trailing line acts as a volatility-adjusted stop that follows the ZLEMA during trends but never moves against the trend direction. It ratchets upward with the ZLEMA in uptrends and ratchets downward in downtrends, creating a protective barrier that adapts to market volatility. Finally, trend reversal signals are generated when the ZLEMA crosses the ATR trailing line, indicating a shift in market momentum: bullSignal = trend == 1 and trend == -1 bearSignal = trend == -1 and trend == 1 This creates a volatility-adaptive trend-following system that combines ZLEMA with dynamic support/resistance levels and optional noise filtering, providing traders with responsive directional signals and automatic stop-loss levels that adjust to both price momentum and market volatility conditions. 🟢 Signal Interpretation ▶ Bullish Trend (Green): ZLEMA trading above ATR trailing line with indicator showing bullish color, indicating established upward momentum with zero-lag confirmation = Long/Buy opportunities ▶ Bearish Trend (Red): ZLEMA trading below ATR trailing line with indicator showing bearish color, indicating established downward momentum with zero-lag confirmation = Short/Sell opportunities ▶ ATR Trailing Line as Dynamic Support: In uptrends, the trailing line acts as volatility-adjusted support level that rises with ZLEMA, never declining = Use as potential stop-loss reference for long positions = ZLEMA holding above indicates trend strength and momentum continuation ▶ ATR Trailing Line as Dynamic Resistance: In downtrends, the trailing line acts as volatility-adjusted resistance level that falls with ZLEMA, never rising = Use as potential stop-loss reference for short positions = ZLEMA holding below indicates trend weakness and momentum continuation 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading styles and market conditions. "Default" provides balanced configuration suitable for swing trading on daily and 4-hour charts with standard ZLEMA and ATR periods, moderate multiplier, and moderate noise filtering that works across most market conditions. "Fast Response" delivers aggressive configuration designed for intraday trading and scalping on 5-minute to 1-hour charts with shorter ZLEMA period for quick trend detection, reduced ATR period for rapid volatility adaptation, tighter multiplier for early entries/exits, and minimal noise filtering for maximum responsiveness. This is ideal for active traders monitoring positions closely but expect more frequent signals and potential whipsaws in choppy conditions. "Smooth Trend" focuses on conservative configuration for position trading and long-term trend following on daily to weekly charts with extended ZLEMA period for smoother trend identification, longer ATR period for stable volatility measurement, wide multiplier to filter minor corrections, and aggressive noise filtering to ensure only strong sustained trends trigger signals. This is best for patient traders focused on major trend moves with fewer reversals. ▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and zero-lag momentum shifts. "Bullish Trend" triggers when the ZLEMA crosses above the ATR trailing line and trend state changes from bearish to bullish, signaling potential long entry opportunities with lag-eliminated confirmation. "Bearish Trend" activates when the ZLEMA crosses below the ATR trailing line and trend state changes from bullish to bearish, signaling potential short entry or long exit points with immediate momentum detection. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all zero-lag momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring, leveraging the indicator's zero-lag technology for faster trend change alerts. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the ATR trailing line and ZLEMA, with higher transparency values (70-95) creating subtle background context without overwhelming the chart while lower values (20-40) produce bold, prominent trend zone emphasis for instant recognition. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves based on ZLEMA trend state, providing immediate visual reinforcement of current trend direction without requiring reference to the indicator lines.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
4
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems// DISCLAIMER: // This script is for educational purposes only. It is not financial advice. // Past performance does not guarantee future results. // Use this tool at your own risk. EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems Overview This is a plug-and-play scalping system designed specifically for the EUR/USD 5-Minute chart . Created by Scalper Pro Systems , it simplifies intraday trading by automatically generating Buy/Sell signals with precise Take Profit and Stop Loss levels. How It Works The strategy uses a "Safety First" approach to find stable entries: 1. Trend Filter (EMA 200): Ensures you only trade with the main trend (Buy only if price is above; Sell only if price is below). 2. Entry Trigger (EMA 9 & 21): Identifies short-term momentum shifts. 3. Noise Filter (RSI): Prevents entering trades when momentum is weak or exhausted. Main Features 🟢🔴 Clear Signals: Draws Green (Buy) and Red (Sell) boxes directly on the chart. 📉📈 Auto TP & SL: Instantly calculates your Stop Loss (based on recent swing lows/highs) and Take Profit (1.5x risk) and displays the exact price numbers. ⏱️ Live Tracking: The system tracks the trade for you and marks exactly when and where the Target or Stop Loss was hit. 📊 Dashboard: Shows Signal Time, Entry Price, TP, and SL in a clean information box. Best Settings Timeframe: 5 Minutes Asset: EUR/USD (Can also be used on Gold/XAUUSD or Indices) Session: Best used during London or New York sessions. Risk Warning Trading involves risk. This tool helps visualize a strategy but does not guarantee profits. Always manage your risk.
อินดิเคเตอร์ Pine Script®
โดย billal-kashif
Stabilized HMA ScalperStabilized HMA Scalper / Stab. HMA 2.0 Stabilized HMA Scalper is a visual trend-structure overlay indicator designed to highlight directional momentum, trend alignment, and market state through a combination of adaptive moving averages and contextual visual cues. The indicator blends a Hull Moving Average (HMA) for responsiveness with an ALMA-based baseline filter to stabilize trend interpretation and reduce noise. The result is a clean, visually expressive framework for reading market structure directly on the price chart. Core Design Philosophy This script is built around trend confirmation and state visualization, not prediction or automation. All elements are calculated on confirmed bar closes and do not repaint. The indicator focuses on three analytical dimensions: 1. Dual Moving Average Structure Hull Moving Average (HMA) Acts as the primary momentum curve. Designed for fast reaction to directional changes. Slope behavior is used to infer momentum expansion or contraction. ALMA Baseline Filter Provides a stabilizing reference for broader trend context. Helps distinguish directional movement from short-term fluctuations. Used as a structural filter rather than a trigger mechanism. 2. Trend State Visualization When HMA slope and price position relative to the ALMA baseline align, the indicator visually highlights the active market state: Bullish alignment: upward momentum with supportive structure Bearish alignment: downward momentum with confirming structure Neutral / range: mixed conditions or transitional phases A dynamic gradient fill between HMA and ALMA visually reinforces this alignment, offering an immediate understanding of trend strength and continuity. 3. Visual Markers & Labels Discrete chart markers may appear at moments when momentum structure transitions into a new aligned state. These markers are contextual annotations, intended to draw attention to changes in trend conditions rather than to provide standalone decisions. They are based solely on historical price data and are fully non-repainting. Dashboard An optional on-chart dashboard summarizes the current market state classification (Bullish / Bearish / Range) based on the internal trend logic. Position and size are fully configurable. Designed for at-a-glance situational awareness. Reflects the same logic used in the chart visuals. Usage Disclaimer This indicator is provided for technical analysis and educational purposes only. It does not generate financial advice or guarantee outcomes and should be used as part of a broader analytical workflow.
อินดิเคเตอร์ Pine Script®
โดย Horazio
EMA200 Momentum ZoneEMA200 Momentum Zone is a clean and minimal momentum-based indicator designed for intraday trading and scalping. The script combines: EMA200 as a fair value and trend filter Parabolic SAR for timing MACD momentum cross for confirmation ATR-based zone filter to avoid chop near EMA and late entries at extremes ATR-based take profit projection for quick decision-making The indicator highlights only those moments when price is inside the optimal momentum zone — not too close to the mean, and not too far from it. How it works: Buy signals appear only in bullish conditions above EMA200 Sell signals appear only in bearish conditions below EMA200 Signals are filtered by minimum and maximum ATR distance from EMA200 A visual take-profit line is drawn using 1× ATR and remains active for a limited number of bars TP labels show the projected move shown as a percentage for instant evaluation Recommended use: Designed for 1-minute charts Works best on indices, gold, and liquid futures Can be used as a signal tool or a momentum scanner Alerts are supported Important note: This indicator is for educational purposes only and does not provide financial advice. Always manage risk and confirm signals with your own analysis.
อินดิเคเตอร์ Pine Script®
โดย szymonsobkowiak
Leswin Ribbon + Levels + Hybrid (Stocks/Crypto) v1Leswin Ribbon Signals A trend-based momentum indicator built for day traders and scalpers. Uses an EMA ribbon, higher-timeframe trend filtering, and volatility conditions to highlight high-probability BUY and SELL zones while avoiding choppy markets. Optimized for 5m & 15m entries, especially for SPY, QQQ, DIA, IWM, and large-cap stocks, but works on all markets including crypto and forex. Non-repainting. Best used as a confirmation tool alongside your own levels and risk management.
อินดิเคเตอร์ Pine Script®
โดย leswin_trades
Leswin Stocks Ribbon Signals (SPY/QQQ) Leswin Ribbon Signals – Day Trading Indicator (Stocks & Crypto) Leswin Ribbon Signals is a trend-based momentum indicator designed for day traders and scalpers who trade stocks, ETFs, options, and crypto. Built for fast execution on 5m, 15m, and 1H timeframes, it uses a dynamic EMA ribbon, trend filtering, and volatility conditions to help identify high-probability BUY and SELL zones while avoiding low-quality chop. Features: • Trend-following EMA ribbon • Automatic higher-timeframe trend filter • Smart BUY & SELL signals • Volatility (ATR) filter to avoid dead zones • Regular Trading Hours (RTH) filter for stocks • Optimized for SPY, QQQ, DIA, IWM, TSLA, AAPL, META • Works on crypto, forex, and futures • Mobile-friendly • Non-repainting logic This indicator is best used as a confirmation tool, not a standalone system. Always combine with your own levels, structure, and risk management.
อินดิเคเตอร์ Pine Script®
โดย leswin_trades
Smart Money Flow Signals [QuantAlgo]🟢 Overview The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes. 🟢 How It Works The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal. First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis: raw_money_flow = source * volume positive_flow = source >= source ? raw_money_flow : 0 negative_flow = source < source ? raw_money_flow : 0 positive_money_flow = math.sum(positive_flow, mfi_period) negative_money_flow = math.sum(negative_flow, mfi_period) money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow) This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance. Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume: money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0 money_flow_volume = money_flow_multiplier * volume volume_sma = ta.sma(volume, trend_period) chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0 Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation. Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages: volume_average = ta.sma(volume, trend_period) volume_strength = volume_average != 0 ? volume / volume_average : 1 volume_weight = math.log(volume_strength + 1) The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation. Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles: buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period) selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period) pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100 This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying). Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity: exponential_smooth_average = ta.ema(source, momentum_channel_period) deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period) channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0 This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement. Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator: momentum_wave = ta.ema(channel_index, trend_period) money_flow_wave = (money_flow_index - 50) * 1.2 chaikin_flow_wave = chaikin_money_flow * 100 composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2 smoothed_wave = ta.sma(composite_wave, signal_smoothing) This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence. 🟢 Signal Interpretation ▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities ▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities ▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions ▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries ▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise ▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves 🟢 Features ▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches. 1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions. 2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation. 3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants. ▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states. 1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning. 2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting. 3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts. 4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion. 5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation. 6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels. 7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
12
Multi-Signal the FlasherTitle: Multi-Signal Flasher - External Signal Alert System Short Description: Visual screen flash alerts triggered by external indicator signals. Supports 4 signal sources with separate Long/Short flash colors. Description: This indicator provides a powerful visual alert system that flashes your entire chart when external indicator signals fire. Perfect for traders who need unmissable alerts when their custom signals trigger. Features 4 External Signal Sources - Connect up to 4 different indicators Long/Short Classification - Assign each signal as Long or Short for different colored flashes OR Logic - Any enabled signal firing triggers the flash Customizable Flash Colors - Separate color schemes for Long and Short signals Adjustable Cycles - Control how many times the colors alternate On-Screen Message - Displays "LONG SIGNAL!" or "SHORT SIGNAL!" during flash How It Works The indicator monitors your selected external signal sources. The trigger fires when a signal transitions from no value to a value >= 1, the chart flashes with alternating colors to grab your attention. Signals set to Long → Flash with Long colors (default: green/purple) Signals set to Short → Flash with Short colors (default: red/yellow) Setup Add your signal indicators to the chart first Add this indicator In settings, enable Signal 1-4 as needed Select each signal's plot from the dropdown Set each signal as Long or Short Check "Enable the Flasher" to arm the system Customize colors and messages to your preference Important Notes ⚠️ Seizure Warning - This indicator flashes colors rapidly. User discretion is advised for those with photosensitive epilepsy. Flashes only occur in real-time - historical bars will not trigger flashes The trigger fires when a signal transitions from no value to a value >= 1. not while signal persists Color cycling depends on feed updates Use Cases Multi-indicator confluence alerts Separate long/short signal systems High-visibility scalping alerts Any system where missing a signal is costly Credits: Original "the Flasher" code by @allanster Core flash function and table-based color cycling system Modified by @m4ybee Multi-signal source support (4 inputs) External indicator integration via input.source() Long/Short signal classification OR logic signal combining Separate color schemes for Long/Short
อินดิเคเตอร์ Pine Script®
โดย mm44yybbee
ApEn Zones with Delta Confirmation MTF [PhenLabs]📊 ApEn Zones with Delta Confirmation MTF Version: PineScript™ v6 📌 Description The ApEn Zones with Delta Confirmation MTF indicator combines Approximate Entropy analysis with cumulative volume delta to identify high-probability support and resistance zones. Approximate Entropy (ApEn) measures the complexity and unpredictability in price data—when ApEn drops significantly, it signals a transition from chaotic to ordered market behavior, often preceding reversals or continuations. This indicator goes beyond simple ApEn detection by integrating Delta confirmation, which validates zones using volume-based order flow analysis. When a zone forms with Delta confirmation, it indicates institutional participation aligning with the price structure. The multi-timeframe capability allows traders to detect zones forming on higher timeframes while executing on their preferred chart. 🚀 Points of Innovation First indicator to combine ApEn complexity analysis with cumulative Delta confirmation for zone validation Pre-built calculation presets eliminate guesswork—optimized parameters for scalping, day trading, and swing trading Smart zone management automatically removes invalidated zones after two price rejections Multi-timeframe architecture detects zones on configurable timeframes independent of chart timeframe Visual style presets provide instant customization from high contrast to subtle overlays Delta threshold system distinguishes between regular zones and institutionally-confirmed zones 🔧 Core Components ApEn Calculator: Measures pattern regularity using embedding dimension (m=2) and tolerance factor (r) against price standard deviation to quantify market complexity Delta Engine: Computes cumulative delta from volume and price movement, comparing against statistical thresholds to identify significant order flow divergence Zone Generator: Creates visual box zones at signal points with dynamic sizing based on bar range and confirmation status MTF Request Handler: Fetches ApEn calculations from user-specified timeframe using security() calls for higher timeframe alignment Zone Manager: Tracks zone interactions, counts rejections, and automatically purges zones that have been tested twice 🔥 Key Features Calculation Presets: Choose from Aggressive, Conservative, Scalping 1m, Strong Scalping, Swing Trading, or Default—each preset optimizes all parameters for specific trading styles Visual Style Presets: Select Default, High Contrast, Subtle, Classic, Neutral, or Neutral Reverse to match your chart theme and preference Delta Confirmation: Zones display with enhanced opacity when cumulative delta confirms institutional participation in the direction of the zone Automatic Zone Cleanup: Zones self-destruct after two rejections, keeping your chart clean and focused on active levels Alert System: Four alert conditions for buy zones, sell zones, strong buy signals, and strong sell signals Maximum Zone Control: Limits display to 5 zones per direction to prevent chart clutter 🎨 Visualization Buy Zones: Displayed as horizontal boxes at low points when ApEn crosses under threshold—lighter transparency indicates regular zone, darker indicates Delta confirmation Sell Zones: Displayed as horizontal boxes at high points when ApEn crosses over threshold—visual confirmation follows same transparency logic Zone Boundaries: Each zone extends 10% of bar range above and below the signal level, providing clear entry and stop areas Dynamic Extension: All zones automatically extend rightward with each new bar until invalidated 📖 Usage Guidelines Calculation Preset Selection Scalping 1m / Strong Scalping: Use for 1-5 minute charts with faster signal generation and tighter thresholds (Length: 15, Zone Length: 5) Aggressive: Shorter lookback (Length: 10) generates more zones with lower confirmation requirements—higher frequency, more noise Default: Balanced parameters suitable for 5-15 minute charts (Length: 15, Zone Threshold: 0.5, Delta Length: 4) Conservative: Extended lookback (Length: 30) with stricter thresholds—fewer but higher probability zones Swing Trading: Longest parameters (Length: 40, Zone Length: 20) for 1H-4H charts capturing major structural zones Visual Style Selection High Contrast: Bright green/red for maximum visibility on any background Subtle: Muted green/red with transparency for minimal chart distraction Classic: Traditional lime green and crimson color scheme Neutral / Neutral Reverse: Grayscale tones for non-directional bias visualization Timeframe Configuration Default timeframe is set to 1 minute—adjust based on your execution timeframe For scalping: Set zone timeframe 1-3x your chart timeframe For swing trading: Set zone timeframe to 4H or Daily while viewing 1H charts ✅ Best Use Cases Identifying reversal zones during high-volatility market conditions Confirming support/resistance levels with volume-based order flow validation Scalping entries on lower timeframes with higher timeframe zone confluence Filtering trade setups by requiring Delta confirmation before entry Setting stop losses beyond zone boundaries after rejection tests Swing trade positioning at zones detected on 4H/Daily timeframes ⚠️ Limitations ApEn calculations are computationally intensive—may experience slower loading on very long chart histories Delta estimation uses (close - open) * volume approximation, not actual order flow data Zones require sufficient price history—indicator needs max_bars_back of 2000 bars for proper calculation Low volume instruments may produce unreliable Delta confirmation signals Zone rejections are counted based on price interaction, not candle close confirmation Maximum of 5 zones per direction limits visibility during highly active markets 💡 What Makes This Unique Entropy-Based Detection: Uses mathematical complexity analysis rather than simple price patterns to identify zones Dual Confirmation System: Combines ApEn signals with Delta divergence for higher probability setups Adaptive Presets: Six calculation presets and six visual styles create 36 possible configurations without manual parameter adjustment Self-Managing Zones: Automatic invalidation after two rejections mimics how professional traders track level degradation 🔬 How It Works Step 1 - ApEn Calculation: The indicator computes Approximate Entropy by measuring how often similar patterns of length m repeat within tolerance r multiplied by standard deviation—lower values indicate more predictable (ordered) price behavior Step 2 - Signal Generation: Buy signals trigger when higher timeframe ApEn crosses under the average ApEn divided by threshold; sell signals trigger when ApEn crosses over average multiplied by threshold Step 3 - Delta Confirmation: Cumulative delta is compared against its moving average plus/minus standard deviation times threshold—extreme readings confirm institutional order flow alignment Step 4 - Zone Creation: Visual boxes are drawn at signal bars with dimensions based on bar range; confirmed zones receive enhanced opacity while unconfirmed zones appear more transparent Step 5 - Zone Lifecycle: Active zones extend with each bar and track price interactions; after two rejections (price touches zone but reverses), the zone is automatically deleted 💡 Note: This indicator works best when combined with trend analysis and market structure. Use calculation presets as starting points and adjust the Zone Timeframe setting to align with your trading methodology. Delta confirmation significantly improves zone reliability but requires volume data—instruments with low or unreported volume should rely primarily on ApEn signals alone. Always validate signals with price action context before executing trades.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
[HFT] Leaky Bucket: FPGA-Based Order Flow SimulationDescription: This indicator is a functional simulation of a hardware-based "Leaky Bucket" algorithm, typically used in FPGA (Field-Programmable Gate Array) chips for High-Frequency Trading (HFT) and network traffic shaping. Unlike standard volume indicators (like OBV or CMF) that rely on floating-point Moving Averages (EMA/SMA), this script uses Bitwise Integer Math to simulate hardware registers. This approach removes the lag associated with smoothing and provides a raw, "tick-by-tick" representation of Order Flow exhaustion. █ Underlying Concepts (How it works) Integer Math & Bitwise Logic: The script eschews standard float calculations for int registers. Instead of division, it uses Bitwise Right Shift (>>) to simulate the "leak" rate. This mimics how hardware processes data streams with near-zero latency. The Leaky Bucket Model: Flow (Input): Volume * Price Delta flows into a "Bucket" (Accumulator Register). Leak (Output): The bucket leaks at a constant rate determined by the Decay Shift. Saturation: If the Flow > Leak, the bucket fills. We simulate a 32-bit integer saturation limit (sat_limit). When the bucket hits this limit, it represents "Panic Buying/Selling" — the market capability to absorb orders is saturated. █ Uniqueness & Originality This is custom-built code, not a mashup of existing indicators. It translates hardware logic (Verilog/VHDL concepts) into Pine Script: It introduces a "Saturation Warning" mechanism that detects when volume pressure exceeds mathematical limits. It implements a "Gray Line" Strategy, focusing on volatility decay rather than momentum initiation. █ How to Use: The "Gray Line" Strategy This tool is designed for Mean Reversion and Exhaustion Trading, specifically on M1 to M5 timeframes. Do NOT trade the breakout: When you see massive Green (Long) or Purple (Short) bars, this indicates "Extreme Momentum". Do not enter yet. Wait. Wait for the "Gray Line": The signal is generated when the Extreme Momentum stops and the bar turns Gray (Neutral). Signal L (Long): Generated when a sequence of Extreme Short bars (Purple) ends, and the histogram returns to Gray/Maroon. This confirms sellers are exhausted. Signal S (Short): Generated when a sequence of Extreme Long bars (Green) ends, and the histogram returns to Gray/Teal. This confirms buyers are exhausted. █ Disclaimer This script is intended for educational purposes regarding HFT algorithms and Order Flow analysis. It does not provide financial advice.
อินดิเคเตอร์ Pine Script®
โดย mentalExpert19609
3
ATR Supertrend [QuantAlgo]🟢 Overview The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes. 🟢 How It Works The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement: smoothedSource = ta.ema(source, smoothingPeriod) atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances: if trend == 1 supertrend := math.max(supertrend, smoothedSource - atr) else supertrend := math.min(supertrend, smoothedSource + atr) First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts. Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance: atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position: if trend == 1 if smoothedSource < supertrend trend := -1 supertrend := smoothedSource + atr The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends. Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum: bullSignal = trend == 1 and trend == -1 bearSignal = trend == -1 and trend == 1 This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions. 🟢 Signal Interpretation ▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities ▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities ▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength ▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts. ▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
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