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Analisi trend

Dizzy HOLO🚀 Dizzy HOLO is an all-in-one professional trading suite designed for serious traders. It combines Pivot Points, Opening Range Breakout (ORB), HOLO (High of Low / Low of High), Weekly Levels, SMA Thresholds, and Real-Time Alerts into a single lightweight indicator. 🔑 Key Features: ✅ Pivot Points (Fibonacci & Camarilla) – Automatic support & resistance with labels. ✅ Opening Range Breakout (ORB) – Custom session ORB with historical data and breakout alerts. ✅ HOLO Strategy – Daily High/Low, Highest H1 Open, Lowest H1 Close with dynamic buy/sell zones. ✅ Weekly Levels – Previous Week High/Low/Open/Close with extended dotted projections. ✅ SMA Threshold Zones – Dynamic SMA with gray zone filter and trend-based candle coloring. ✅ Multi-Timeframe Analysis – Auto-switching pivots & real-time confirmation. ✅ Smart Alerts – Pivot breakouts, ORB levels, HOLO crosses, and Weekly breaks. 🎯 Why Use Dizzy HOLO? This indicator is built for breakout, reversal, and trend traders. It provides clear market structure, liquidity zones, and actionable alerts so you never miss important setups. 🛠️ Best Suited For: Intraday scalpers Swing traders Breakout traders HOLO strategy followers Multi-timeframe traders
Indicatore Pine Script®
di Asimkhaan
Continuation Index [DCAUT]█ Continuation Index 📊 OVERVIEW Continuation Index (CI) is an advanced trend analysis indicator developed by John F. Ehlers. This indicator provides early warning signals for trend onset, continuation, and exhaustion, with values oscillating between -1 and +1 to offer clear trend state identification for traders. Based on the article TASC 2025.09 "Trend Onset And Trend Exhaustion - The Continuation Index" by John F. Ehlers. 💡 CORE VALUE Unlike traditional trend indicators, the Continuation Index provides: - Advanced dual-filter architecture (Ultimate Smoother + Laguerre Filter) - Inverse Fisher Transform for enhanced signal-to-noise ratio - Adaptive gamma parameter allowing market-specific tuning - Binary state output (+1/-1) eliminating interpretation ambiguity 🎯 CONCEPTS Signal Interpretation CI > 0.5 : Strong bullish trend continuation - consider holding/adding long positions CI = +1 : Maximum bullish signal - strong uptrend in progress CI < -0.5 : Strong bearish trend continuation - consider holding/adding short positions CI = -1 : Maximum bearish signal - strong downtrend in progress CI near 0 : Neutral zone - trend uncertain, wait for clear signals Brief pullbacks from extreme states : Potential reentry opportunities in trend direction Primary Applications Trend Onset Detection : Early warning signals for trend initiation Trend Exhaustion Signals : Identify potential trend reversals Position Management : Clear binary states for entry/exit decisions Market Timing : Adaptive filtering reduces false signals 📋 PARAMETER SETUP Source : Data source for calculation (default: close) Length : The calculation length for the filters (default: 40, min: 1) Gamma : Controls the phase response of the Laguerre filter. Smaller values increase responsiveness (default: 0.8, range: 0.0-1.0) Laguerre Order : The order of the Laguerre filter, which directly affects its lag (default: 8, range: 1-10) 📊 COLOR CODING Green : CI > 0.5 - Bullish trend continuation Red : CI < -0.5 - Bearish trend continuation Gray : Neutral zone - Trend unclear
Indicatore Pine Script®
di DCAUT
Long-short energy ratio /多空能量比值This indicator calculates the relative strength of bulls and bears by measuring the average candle body movement within a user-defined window (default: 50 bars). Bull Energy = average percentage change of all bullish candles in the lookback period Bear Energy = average percentage change of all bearish candles in the lookback period Energy Ratio = Bull Energy ÷ Bear Energy The ratio is plotted as a curve around the baseline of 1: Ratio > 1 → Bull side shows stronger momentum Ratio < 1 → Bear side shows stronger momentum Ratio ≈ 1 → Balanced market conditions This tool helps visualize short-term shifts in buying and selling pressure, offering a simple mean-reversion perspective or a confirmation of trend strength depending on the context.
Indicatore Pine Script®
di slyrtaqj79
Elite Entries Range Setter Premium Elite Entries Range Setter **What it is** Elite Entries Range Setter builds a simple but sturdy market map: a predictive range on a higher timeframe, mid-levels between those lines, and **filtered breakout signals** plus **auto-drawn support/resistance zones** (with optional retest tags). It’s designed for day traders who want structure without noise—and swing traders who like to anchor to a higher-timeframe heartbeat. What it gives you * **Predictive range grid** (R2 / R1 / AVG / S1 / S2) computed from your chosen TF with adaptive ATR logic. * **MTF signal engine**: breakouts are detected on your selected *Signal TF* while ranges come from the range TF—clean separation of “map” vs “trigger.” * **Mid-lines** between range levels for bounce/continuation context (visual only here). * **Auto Zones**: when price crosses a key line (range or mid), a shaded support/resistance box is created. Zones extend until broken; they dim when invalidated. * **Optional Retests**: label when price re-tests a fresh zone and rejects/holds (cooldowns included). * **Stacked Filters**: RSI, Volume EMA, and MA direction—use one, some, or all to tighten signals. * **Session awareness**: choose to limit signals/zone creation to New York hours. * **Alerts**: one consolidated breakout alert + dedicated zone-retest alerts. --- How to use (the 60-second setup) 1. **Pick your Range TF** (default 15m). This sets the “grid” (R2/R1/AVG/S1/S2). 2. **Choose your Signal TF** (can be same as chart or different). This is where breakouts are confirmed. 3. **Turn on filters** to taste: * **RSI** for momentum extremes (OB/OS configurable) * **Volume EMA** for participation (Above/Below) * **MA direction** for trend alignment (EMA/SMA/HMA, configurable length) 4. **Zones**: leave enabled to auto-box supports/resistances when lines are crossed. Adjust size by **Ticks** or **ATR ×** for instrument sensitivity. 5. **Alerts**: add “**Grid Breakout (Filtered)**” for trade triggers, and “Zone Bullish/Bearish Retest” if you trade pullbacks. --- Inputs that matter * **Range Setter** * *ATR Length / Factor*: controls how wide the predictive range breathes. * *Timeframe*: TF used to compute the grid (e.g., 15m). * *Candlestick Type*: Traditional or Heikin-Ashi source. * **Filter Options** * *RSI*: Period + OB/OS thresholds. * *Volume EMA*: Period + Above/Below condition. * *MA Filter*: EMA/SMA/HMA + length; must be above (long bias) or below (short bias). * **Trading Grid** * *Signal TF*: where breakouts are detected. * *Use MTF Signals*: toggle to confirm on a different TF than your chart. * *Session Filter (NY)*: gate signals to the cash session. * **Zones** * *Only Create During NY Session*: keep structures “day-true.” * *Size Mode*: **Ticks** (precise) or **ATR ×** (adaptive). * *Retests*: on/off, min bars between retests, label size, colors. * *Avoid Dupes at Same Level*: keeps the chart tidy. --- Signals & Alerts * **Breakout UP / DN**: confirmed cross of a mid or range line **and** all active filters pass. * *Create alert:* **Grid Breakout (Filtered)** * **Zone Retests**: optional labels/alerts when price wicks into a fresh zone and closes back out in the expected direction. * *Create alerts:* **Zone Bullish Retest**, **Zone Bearish Retest** *Pro tip:* Because the range grid comes from a (possibly) higher TF and signals can be confirmed on a different TF, you avoid most LTF chop while still reacting quickly. --- Good habits (a trader’s creed) * **Trust, but verify.** Filters help, not save. Read the tape: wicks, spreads, and time-of-day matter. * **Let sessions speak.** NY hours tend to carry the volume; gating to session can reduce false pops. * **Adjust zone size to the instrument.** Use ATR × on volatile tickers/futures; use Ticks for clean FX/Index contracts. * **Mind the load.** If you enable many zones on very low TFs, consider trimming history or increasing tick size for performance. --- Repainting & behavior notes * Range levels are computed with `request.security(..., lookahead=off)` and only update as the higher-timeframe bar evolves/finishes. * Breakout checks also use `lookahead=off`. Signals confirm on the **close** of the chosen *Signal TF*. * Zone creation happens on **confirmed bars** to reduce flicker. * No backtest or strategy orders—this is an **indicator** for discretionary or rule-based trading with external execution. --- Who it’s for Day traders who want **clear structure + filtered triggers**. Swing traders who anchor to a higher-TF grid but demand timely confirmation. Anyone tired of random “buy/sell” confetti and ready for a **map, a method, and a mute button** for the noise. --- Final word Markets are poetry and math—this tool sketches the meter so you can hear the rhyme. Keep risk first, keep faith in your process, and let disciplined edges do the talking. ✨ *Educational use only. Not financial advice. Trade responsibly.*
Indicatore Pine Script®
di MooreMuzik
2
GME Cycle PredictorTitle: GME Cycle Predictor Short Title: GME Cycle Author: Version: Pine Script @version=6 Published: September 25, 2025 Category: Cycle Analysis, Technical Analysis Asset Focus: GameStop (GME) OverviewThe "GME Cycle Predictor" is a specialized cycle analysis tool designed for GameStop (GME) traders, identifying key cyclical patterns and confluence points that may signal significant price movements. Built on Pine Script @version=6, this indicator leverages historical reference points, volume, momentum, and Fibonacci levels to highlight critical cycle events, including 147-day quarterly cycles, 1704-day major cycles, T+35 FTD (Failure-to-Deliver) cycles, quarterly OPEX dates, and swap roll periods. The script provides a clean, visually intuitive interface with minimal clutter, using bright neon shapes, subtle background highlights, dynamic support/resistance levels, and a comprehensive information table to guide trading decisions. It is tailored for GME enthusiasts looking to capitalize on recurring market patterns tied to the stock’s unique history, such as the January 28, 2021 squeeze and Roaring Kitty’s return in June 2024.Key FeaturesCycle Detection:147-Day Quarterly Cycle: Marks every 147 days from the January 28, 2021 squeeze, indicating potential volatility periods. 1704-Day Major Cycle: Identifies long-term cycles starting from the 2021 squeeze, signaling rare but significant events. T+35 FTD Cycles: Highlights 35-day Failure-to-Deliver settlement cycles, often associated with short squeeze pressure. Quarterly OPEX Dates: Flags the 15th of March, June, September, and December for options expiration impacts. Swap Roll Periods: Marks the last day of each quarter (March 30, June 30, September 30, December 31) for potential market maker activity. Confluence Detection:Major Confluence: Combines 147-day cycles or OPEX dates with high volume (1.5x 20-day SMA) and RSI > 50 for strong bullish signals. Super Confluence: Triggers when 1704-day and 147-day cycles align with high volume, indicating rare high-impact events. Dynamic Support/Resistance:Plots 147-day cycle highs and lows as dynamic support/resistance levels. Includes a 61.8% Fibonacci retracement level between cycle highs and lows for key price targets. Visual Elements:Neon Shapes: Uses distinct, bright shapes for cycle events (no text labels):Red Circle (147-Day Cycle) Yellow Diamond (1704-Day Major Cycle) Orange Triangle (Quarterly OPEX) Green Square (T+35 FTD Cycle) Purple X (Swap Roll) Rocket () for 1704-day hits Target () for January 28 anniversary Cat () for Roaring Kitty’s June 2, 2024 return Background Highlights: Subtle red (super confluence) and yellow (major confluence) background colors to mark high-probability events. Support/Resistance Lines: Red (147-day high), lime (147-day low), and blue (61.8% Fibonacci) lines with transparency for clarity. Information Table:Displays a clean, 11-row table in the top-right corner with a legend and status:Legend: Explains each shape and its corresponding cycle/event. Status: Shows days since the January 28, 2021 squeeze, days until the next 1704-day and 147-day cycles (with red text for imminent events, ≤10 and ≤5 days, respectively). Updates dynamically to avoid redundancy and ensure accuracy. Alerts:Configurable alerts for 147-day cycle hits, 1704-day cycle hits, and super confluence events, enabling timely notifications for traders. How It WorksHistorical Reference: Anchors cycles to the January 28, 2021 GME squeeze (timestamp("2021-01-28 00:00")) and Roaring Kitty’s return on June 2, 2024 (timestamp("2024-06-02 00:00")). Cycle Calculations: Uses days_since_squeeze to compute modulo-based cycles (147-day, 1704-day, 35-day) and specific dates for OPEX and swap rolls. Confluence Signals: Combines cycle events with volume (1.5x 20-day SMA) and RSI (>50) for major confluence, and adds 1704-day alignment for super confluence. Visuals: Plots small, neon-colored shapes (circles, diamonds, triangles, squares, X’s) without text to minimize clutter, with subtle background highlights and dynamic support/resistance lines. Table: Provides a legend for shapes and real-time status updates on cycle proximity. Alerts: Triggers notifications for key cycle events to support active trading strategies. Usage InstructionsApply to Chart:Add the indicator to a GME chart (e.g., daily timeframe recommended) in TradingView. Ensure sufficient chart history (back to January 2021) for accurate cycle calculations. Interpret Signals:Buy Opportunities:Look for red circles (147-day cycle), yellow diamonds (1704-day cycle), or orange triangles (OPEX) with yellow background (major confluence) or red background (super confluence). Confirm with high volume and RSI > 50 in the table or chart. The 61.8% Fibonacci level (blue) and 147-day low (lime) act as potential support for entries. Sell Opportunities:Monitor for cycle peaks (e.g., 147-day high in red) or lack of confluence signals. Use purple X’s (swap rolls) as potential exit points for volatility spikes. Avoid Trading:No shapes or background colors indicate low-probability setups. Use the Table:Check the table’s “Days Since 1/28/21” to track cycle progress. Note “Next 1704-Day” and “Next 147-Day” counts; red text (≤10 or ≤5 days) signals upcoming events. Use the legend to identify shape meanings. Set Alerts:Configure alerts for “147-Day Cycle Alert”, “1704-Day Major Cycle Alert”, or “Super Confluence Alert” to receive notifications on key events. Input SettingsShow All Cycle Predictions: Toggle all cycle markers (default: true). Show 147-Day Quarterly Cycle: Toggle red circles for 147-day cycles (default: true). Show 1704-Day Major Cycle: Toggle yellow diamonds for 1704-day cycles (default: true). Show FTD T+35 Cycles: Toggle green squares for 35-day FTD cycles (default: true). Show Swap Roll Dates: Toggle purple X’s for swap roll periods (default: true). Example Table Output LEGEND & STATUS | 🔴 Red Circle | 147-Day Cycle 🟡 Yellow Diamond | 1704-Day MAJOR 🟢 Green Square | T+35 FTD 🟠 Orange Triangle | Quarterly OPEX 🟣 Purple X | Swap Roll 🚀 Rocket | 1704 Hit! 🎯 Target | Jan 28 Anniv Days Since 1/28/21 | 1357 Next 1704-Day | 347 days Next 147-Day | 12 days Why Use This Indicator?GME-Specific: Tailored for GME’s unique market dynamics, referencing the 2021 squeeze and 2024 events. Clean Visuals: Uses bright neon shapes and minimal labels to reduce chart clutter while highlighting key cycles. Actionable Insights: Combines cycle analysis with volume, momentum, and Fibonacci levels for high-probability setups. Dynamic Table: Provides real-time cycle status and a clear legend for easy interpretation. Customizable: Toggle specific cycles and adjust visuals to suit your trading style. Notes for TradersBest Timeframe: Daily chart for accurate cycle alignment, though intraday (e.g., 1h) can work for short-term confirmation. Risk Management: Use confluence signals (yellow/red backgrounds) and support levels (lime, blue) for entries; monitor swap rolls and cycle peaks for exits. Limitations: Cycles are based on historical patterns and may not guarantee future performance. Combine with other indicators (e.g., RSI, volume) for confirmation. Testing: Backtest on GME’s historical data (2021–2025) to validate cycle accuracy, especially around January 28 anniversaries and June 2024 events. Publication NotesTags: GME, Cycle Analysis, GameStop, Short Squeeze, Technical Analysis, FTD Cycles, OPEX, Swap Rolls Chart Example: Include a GME daily chart screenshot showing neon shapes, background highlights, support/resistance lines, and the table. Highlight a super confluence event (red background) or a 147-day cycle hit (red circle). Community Contribution: Encourage feedback from GME traders to refine cycle lengths or add new reference points. Disclaimer: Emphasize that this is for educational purposes, not financial advice. Past cycles do not guarantee future results.
Indicatore Pine Script®
di Timmy741
Yasser Multiple Inside Bar Breakout SignalsDescription Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies. 🔑 Key Features: ✅ Automatic MIB Detection – Identifies and counts consecutive inside bars. ✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar. ✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels. ✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management. ✅ Trend Filter – Optional EMA filter to trade only in the trend direction. ✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights. ✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts. This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management. 📂 Categories Indicators Technical Analysis Price Action Breakout Strategies Risk Management 🏷 Tags inside bar multiple inside bar MIB breakout price action mother bar breakout strategy trend filter EMA filter ATR stop loss risk reward forex trading crypto trading stocks commodities indices Yasser indicators
Indicatore Pine Script®
di Yasser_Mahmoud
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following. The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise. The indicator works by calculating in the following steps: Source Selection The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations. Kalman Filtering on Price Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure. EMA Calculation Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25). Kalman Filtering on EMA Values Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes. Trend Detection via EMA Crossovers -A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow). -A bearish trend is detected when EMA 1 crosses below EMA 2. The detected trend state is stored and used to dynamically color the plots. Visual Representation Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions. Buy and Sell Conditions : - Buy Condition : When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed. - Sell Condition : When EMA 1 crosses below EMA 2, a bearish crossover is confirmed. Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower). Features and Parameters : - Source : Selectable price input (Close, Open, High, Low, etc.). - EMA 1 Length : Defines the fast EMA period. - EMA 2 Length : Defines the slow EMA period. - Process Noise : Controls how much randomness the Kalman filter assumes in price dynamics. - Measurement Noise : Controls how much uncertainty is assumed in raw input data. - Kalman Usage : Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values). Specifications : Kalman Filter The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions. Exponential Moving Average (EMA) An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts. EMA Crossovers The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems. Dual Kalman Filtering Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers. Process Noise Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable. Measurement Noise Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations. Trend Coloring & Fill The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity. Enjoy!
Indicatore Pine Script®
di JTCapitalNL
4
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend - is a modified way to use Triple Exponential Weighted Moving Average (TEWMA) combined with ATR-based Supertrend logic for Trend-Following. The idea behind this indicator is to merge the smoothness and responsiveness of TEWMA with the robustness of ATR-based Supertrend volatility filtering. This results in a tool that not only reacts quickly to price changes but also adapts to market volatility, providing reliable trend detection with reduced noise. The indicator works by calculating in the following steps: Source Selection The user can select the price source (default is Close). This price series is the foundation of all calculations, and changing the source allows the indicator to adapt to different analytical perspectives, such as Open, High, Low, or HL2. TEWMA Calculation The script calculates a Weighted Moving Average (WMA) of the selected source, and then applies a Triple Exponential Moving Average (TEMA) smoothing on top of it. The result is what we call TEWMA. This hybrid method achieves two goals simultaneously: -WMA adds sensitivity by giving more weight to recent data. -TEMA reduces lag by combining multiple EMA calculations while keeping smoothness. ATR Volatility Measurement In parallel, the Average True Range (ATR) is calculated over the user-defined Supertrend length . ATR measures volatility and dynamically scales the upper and lower bands to adjust to different market conditions. Upper and Lower Band Construction The indicator builds two envelopes around the TEWMA: - Upper Band = TEWMA + (Multiplier × ATR) - Lower Band = TEWMA – (Multiplier × ATR) These bands expand and contract depending on volatility, creating a dynamic channel. Band Adjustment Logic To prevent false flips, the current upper/lower band values are compared to their previous values. If price has not broken above or below the prior band, the bands “stick” to their previous values, thereby filtering noise and avoiding unnecessary trend changes. Trend Detection -If price closes above the adjusted upper band, the direction is bullish. -If price closes below the adjusted lower band, the direction is bearish. -Otherwise, the trend direction continues from its prior state. The Trend line is then set to either the upper band (bearish) or lower band (bullish). Visual Representation -The TEWMA line itself is plotted and color-coded (blue for bullish, purple for bearish). -The active Supertrend line is plotted depending on trend direction. -Shaded regions are added around the lines for enhanced clarity, visually separating bullish and bearish phases. Buy and Sell Conditions : - Buy Signal : Triggered when price closes above the Supertrend line, confirming a bullish shift. - Sell Signal : Triggered when price closes below the Supertrend line, confirming a bearish shift. Features and Parameters : - TEWMA Source – Select the input price (Close, Open, High, Low, etc.). - TEWMA Length – Defines the lookback for the Weighted MA and subsequent TEMA smoothing. - Supertrend Length – Defines the ATR period used for volatility measurement. - Multiplier – Determines how far the Supertrend bands are placed from the TEWMA. Higher values mean wider bands and fewer trend flips, while lower values mean tighter bands and more frequent signals. Specifications : Weighted Moving Average (WMA) The WMA gives more importance to recent price points while still considering past values. This makes it more responsive to recent moves than a Simple Moving Average (SMA). Triple Exponential Moving Average (TEMA) TEMA reduces lag by combining multiple layers of EMA calculations. Unlike a simple EMA, which can be slow to react, TEMA anticipates changes faster, while still maintaining smoothness to avoid false signals. TEWMA (TEMA of WMA) By applying TEMA on top of WMA, we create a hybrid smoothing technique. This retains the responsiveness of WMA but reduces its lag via TEMA’s structure. The result is a highly adaptive moving average, ideal for fast trend detection. Average True Range (ATR) ATR measures the degree of volatility by looking at the full trading range of each candle. It ensures that the Supertrend bands expand in volatile markets and contract in calm markets, keeping signals relevant to current conditions. Supertrend Bands The upper and lower envelopes built around TEWMA act as dynamic support and resistance. Their adaptive nature reduces false trend shifts during choppy sideways markets. Band Adjustment Logic Instead of recalculating bands every candle, the script uses a memory mechanism (previous values) to prevent unnecessary trend switches. This stabilizes the indicator and avoids excessive noise. Trend Line The final output is a line that follows price in trending phases while holding steady during consolidations. Its placement above or below price clearly signals bullish or bearish market structure. Color Coding and Visuals The use of shaded fills and line coloring enhances readability. Traders can quickly distinguish trend direction and momentum without deep numerical analysis. Enjoy!
Indicatore Pine Script®
di JTCapitalNL
2
Quantura - Quantified Price Action StrategyIntroduction “Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices. Originality & Value The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of: Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity. Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs. RSI filter: Can be set to normal or aggressive, confirming momentum before trades. Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies. EMA filter: Aligns trades with the broader market trend. Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions. This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow. Functionality & Indicators Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap. Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection. RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness. FVG filter: Adds validation by requiring price interaction with inefficiency zones. EMA filter: Ensures longs are above EMA and shorts below EMA. Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status. Parameters & Customization Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options. Liquidity filter: Mode (Run or Sweep), display, and swing length. RSI: Enable/disable, length, and style (normal or aggressive). Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles. EMA: Length, enable/disable, and visualization. Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing. Visualization: Custom candle coloring and optional overlay for better clarity. Default Properties (Strategy Settings) Initial Capital: 10,000 USD Position Size: 100% of equity per trade (backtest default) Commission: 0.1% Slippage: 1 Pyramiding: 0 (only one position at a time) Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%. Backtesting & Performance Backtests on XPTUSD over 2.5 years with the default settings produced: 129 trades 73.64% win rate Profit factor: 2.6 Maximum drawdown: 18.2% These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (129) is sufficient for statistical analysis, results may vary across markets and timeframes. Risk Management Three configurable take-profit levels with percentage allocation. Initial stop-loss based on user-defined percentage. Dynamic stop-loss that adjusts with market movement. Break-even logic that shifts stops to entry after predefined gains. Position sizing based on risk percentage of equity. This framework allows both conservative and aggressive configurations, depending on user preference. Limitations & Market Conditions Works best in volatile and liquid markets such as crypto, metals, indices, and FX. May produce false signals in low-volume or sideways environments. Unexpected news or macro events can override technical conditions. Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use. Usage Guide Add “Quantura – Quantified Price Action Strategy” to your chart. Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe. Configure risk management: take-profits, stop-loss, and risk-per-trade percentage. Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions. Optimize parameters before applying the strategy to different markets. Author & Access Developed 100% by Quantura. Published as an Invite-Only script. Access is available upon request via the Author’s Instructions field. Important This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
Strategia Pine Script®
di Quantura
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized - is a modified way to use Bollinger Bands combined with volatility filtering (ATR) and flexible smoothing methods for Trend-Following. The indicator works by calculating in the following steps: Source Selection & Smoothing The script begins by letting the user select a preferred price source (default is Close, but options include Open, High, Low, HL2, etc.). This raw input is then passed through a smoothing process. Multiple smoothing techniques can be chosen: SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA. Each method reduces short-term noise differently, ensuring flexibility for traders who prefer faster or slower reaction speeds in trend detection. Bollinger Band Construction Once the smoothed source is prepared, Bollinger Bands are calculated. The middle band is a moving average of the smoothed data over the defined BB Period . The upper and lower bands are then generated by adding and subtracting the Standard Deviation × Deviation multiplier . These dynamic bands capture volatility and help define breakout zones. ATR Volatility Measurement Parallel to the band calculation, the Average True Range (ATR) is computed over the chosen ATR Period . This measures market volatility. The ATR can optionally act as a filter, refining buy and sell levels so signals adapt to current market conditions rather than being fixed to price alone. Bollinger Band Signals -If the smoothed price closes above the upper band, a potential bullish event is marked. -If the smoothed price closes below the lower band, a potential bearish event is marked. Trend Line Construction When a bullish event occurs, the script anchors a trend-following line beneath price. If ATR filtering is enabled, the line is set at Low – ATR , otherwise at the simple Low. Conversely, when a bearish event occurs, the line is anchored above price at High + ATR (or just High without the filter). The line is designed to only move in the direction of the trend—if price action does not exceed the prior value, the previous level is held. This prevents unnecessary whipsaws and keeps the indicator aligned with dominant momentum. Final Trend Detection The slope of the trend line defines the trend itself: -Rising line → bullish trend. -Falling line → bearish trend. Visual Output The indicator plots the trend line with dynamic coloring: Blue for bullish phases, Purple for bearish phases. A subtle filled background area emphasizes the active trend zone for clearer chart interpretation. Buy and Sell Conditions: - Buy Signal : Triggered when smoothed price closes above the upper Bollinger Band. Trend line then anchors below price (with or without ATR offset depending on settings). - Sell Signal : Triggered when smoothed price closes below the lower Bollinger Band. Trend line then anchors above price (with or without ATR offset). Additional filtering is possible via: - ATR Toggle : Switch ATR on or off to adapt the strategy to either volatile or steady markets. - Smoothing Method : Adjust smoothing to speed up or slow down responsiveness. - Deviation Multiplier : Tight or wide bands adjust the sensitivity of signals. Features and Parameters: - Source : Choose between Close, Open, High, Low, HL2, etc. - Average Type : Options include SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA. - ATR Period : Defines how ATR volatility is measured. - BB Period : Lookback length for Bollinger Band construction. - Deviation : Multiplier for the standard deviation in Bollinger Bands. - Smoothing Period : Controls how much the source data is smoothed. - ATR Filter On/Off : Enables or disables ATR integration in signal calculation. Specifications: Smoothing (MA Types) Smoothing is essential to reduce chart noise. By offering multiple MA choices, traders can balance between lag (SMA, RMA) and responsiveness (EMA, HMA, FRAMA). This flexibility allows the indicator to adapt across asset classes and trading styles. Bollinger Bands Bollinger Bands measure price deviation around a moving average. They help identify volatility expansion and contraction. In this script, the bands serve as breakout triggers—price crossing outside suggests momentum strong enough to sustain a trend. Standard Deviation Standard Deviation is a statistical measure that quantifies the dispersion of price data around the mean. With a multiplier applied, it creates bands that contain a probabilistic portion of price action. Crossing beyond these suggests a higher likelihood of trend continuation. ATR (Average True Range) ATR measures the degree of volatility. Instead of simply reacting to price crossing the bands, ATR ensures the trend line placement adapts to current conditions. In volatile markets, wider buffers prevent premature signals; in calmer markets, tighter placement keeps signals responsive. Trend Line Logic The trend line only adjusts in the direction of the trend. If new values do not exceed the prior, the line remains unchanged. This prevents false reversals and makes the line a reliable visual confirmation of trend direction. Signal Detection The indicator does not repaint: signals are based on confirmed closes relative to the Bollinger Bands. This makes it more reliable for both live trading and backtesting scenarios. Visual Enhancements The use of dual plots and fill shading creates a clearer separation of bullish vs. bearish phases. This helps traders visually align entries and exits without second-guessing. Enjoy!
Indicatore Pine Script®
di JTCapitalNL
Yasser Buy/Sell Signal Indicator 001Coded by: Yasser Mahmoud (YWMAAAWORLD): For any assistance contact me at: yarm.global@gmail.com # 🚀 **EMA Trend & Signal Indicator - The Ultimate Anti-Chop Trading System** ## **Finally! An Indicator That Eliminates False Signals and Maximizes Trending Profits** Are you tired of getting whipsawed in choppy markets? Frustrated by indicators that give you 10 signals when you need just 1 good one? **This changes everything.** --- ## 🎯 **What Makes This Indicator Revolutionary?** ### **🔥 INNOVATIVE 7-FILTER CONFIRMATION SYSTEM** This isn't just another EMA crossover indicator. It's a **complete trading system** that combines: ✅ **Multi-EMA Trend Analysis** (8, 13, 21, 50, 200 EMAs) ✅ **Volume Surge Detection** (1.5x average volume confirmation) ✅ **RSI Momentum Filter** (Avoids overbought/oversold traps) ✅ **EMA Slope Confirmation** (All short-term EMAs must align) ✅ **Advanced Anti-Chop Technology** (Patent-pending 5-filter system) ### **🚫 REVOLUTIONARY ANTI-CHOP FILTERS** **The game-changer that separates amateurs from professionals:** 1. **Trend Strength Analyzer** - Measures EMA separation strength 2. **EMA Bunching Detector** - Prevents signals when EMAs are too close 3. **Market Structure Scanner** - Identifies genuine trending vs ranging markets 4. **Enhanced Volatility Filter** - Waits for sufficient market movement 5. **Smart Chop Detection** - Multi-timeframe chopiness analysis **Result: 3 out of 5 filters must pass = Only HIGH-PROBABILITY setups trigger signals!** --- ## 📈 **TRADING RULES - COPY & PASTE STRATEGY** ### **🟢 BUY SIGNALS (Long Entry)** **When ALL conditions align:** - Price above 50 EMA **AND** 50 EMA above 200 EMA (Uptrend confirmed) - 8 EMA > 13 EMA > 21 EMA (Perfect alignment) - Volume > 1.5x average (Institutional participation) - RSI between 50-70 (Bullish momentum, not overbought) - All EMA slopes positive (True trending, not fake breakout) - Anti-Chop Score ≥ 3/5 (Market conditions suitable) **📍 Entry:** When green "BUY" label appears **🛡️ Stop Loss:** Below nearest swing low or 50 EMA **🎯 Take Profit:** 2:1 or 3:1 risk/reward ratio ### **🔴 EXIT BUY SIGNALS (Risk Management)** **Automatic protection when:** - EMAs lose perfect alignment (8>13>21 breaks) - Trend remains intact but short-term weakness detected **📍 Action:** Exit position when "EXIT BUY" appears **💡 Strategy:** Wait for "BUY" signal to re-enter if trend continues ### **🟥 SELL SIGNALS (Short Entry)** **Mirror logic for downtrends:** - Price below 50 EMA **AND** 50 EMA below 200 EMA - 8 EMA < 13 EMA < 21 EMA (Perfect bearish alignment) - Same volume, RSI, and anti-chop confirmations ### **🔸 EXIT SELL SIGNALS** **Smart exit when bearish alignment breaks** --- ## 💰 **PROFIT-MAXIMIZING FEATURES** ### **📊 REAL-TIME STATUS DASHBOARD** Never guess market conditions again! Live display shows: - Current trend direction - Signal state (BUY/SELL/EXIT/NONE) - EMA alignment status - Volume surge detection - RSI level with color coding - Anti-chop score (X/5) - **Signal quality assessment** ### **🎨 CLEAN VISUAL SYSTEM** - **Large, clear text labels** (no tiny arrows to miss) - **Color-coded status panel** (optimized for white backgrounds) - **Only long-term EMAs visible** (reduces chart clutter) - **Smart sizing** (signals visible but not overwhelming) ### **🔔 BUILT-IN ALERTS** Set and forget! Get notified instantly when: - New BUY/SELL signals trigger - EXIT signals protect your profits - All confirmations align for high-probability setups --- ## 🏆 **WHY TRADERS CHOOSE THIS OVER EVERYTHING ELSE** ### ❌ **OTHER INDICATORS:** - Give signals in every market condition - Generate 50+ signals per day (analysis paralysis) - No differentiation between high/low probability setups - Leave you guessing about market structure ### ✅ **THIS SYSTEM:** - **Selective Excellence** - Only 3-7 high-quality signals per week - **Built-in Intelligence** - Automatically avoids choppy markets - **Complete Transparency** - Shows you exactly why each signal triggers - **Professional Grade** - Used by institutional-level confirmation methods --- ## 🎓 **PERFECT FOR:** ✅ **Swing Traders** - Clean entries on major trend moves ✅ **Day Traders** - High-probability intraday setups ✅ **Position Traders** - Long-term trend following ✅ **Beginners** - Clear, unambiguous signals with built-in education ✅ **Professionals** - Advanced filtering reduces noise, maximizes edge --- ## ⚡ **QUICK SETUP GUIDE** 1. **Add indicator to chart** 2. **Enable all default filters** (optimized settings included) 3. **Watch the status panel** - Wait for Chop Score ≥ 3/5 4. **Enter on BUY/SELL signals** - Exit on EXIT signals 5. **Profit from trending moves** while avoiding choppy losses! --- ## 🌟 **THE BOTTOM LINE** **Stop fighting the market. Start trading WITH institutional-grade intelligence.** This isn't just an indicator - it's your **competitive advantage** in a market where 90% of traders lose money due to poor timing and choppy market entries. **Join the 10% who consistently profit by trading only when conditions are optimal.** --- ### 🔥 **"Finally, an indicator that thinks like a professional trader - selective, patient, and deadly accurate when it matters most."** **Download now and experience the difference between trading signals and trading INTELLIGENCE.** *Results may vary. Past performance does not guarantee future results. Always use proper risk management.*
Indicatore Pine Script®
di Yasser_Mahmoud
1
SZN - Altcoin OscillatorSZN Altcoin Oscillator – Identify Market Phases with Precision What is the SZN Altcoin Oscillator? The SZN Altcoin Oscillator is a multi-layered analysis indicator specifically developed for the altcoin market. It combines different signal groups (trend, relative strength, volume, market environment, and overheating filters) into a unified oscillator in the 0–100 range. --> The goal is to make major market movements visible while separating short-term fluctuations from broader trends. Why not just use RSI or MACD? Classic single indicators like RSI or MACD often react too sensitively to short-term fluctuations. This leads to many false signals – especially during volatile altcoin phases. --> The SZN Altcoin Oscillator solves this problem by combining and filtering multiple signal sources. --> This smooths out overreactions and identifies true trend movements more reliably. ----- How does it work? The oscillator consists of five signal groups: Price & Trend Momentum checks the relative position of fast and slow moving averages detects whether an altcoin is in a confirmed uptrend or downtrend Relative Strength vs. Bitcoin & Ethereum measures performance compared to the two market leaders shows whether capital is rotating into altcoins or staying in majors Volume and Breakout Filter detects whether breakouts are confirmed by increased volume prevents short “fakeouts” from appearing as buy signals Market Environment (Regime Filter) includes overall market data such as BTC dominance or TOTAL3 ensures that buy signals only trigger in suitable market phases Overheating & Oversold Filter marks statistically extreme zones upward cross from oversold → buy signal downward cross from overheated → sell signal --> All results are displayed in a 0–100 oscillator. Buy signal: upward cross from oversold zones Sell signal: downward cross from overheated zones ----- Variants (selection in the settings menu) The indicator offers 5 preconfigured variants, optimized for different altcoin groups: Default The neutral standard configuration – balanced between sensitivity and stability. Suitable for a wide range of altcoins with medium to large market capitalization. Large Caps More conservative parameters with stronger smoothing. Designed for established projects (Top 20), where trends develop more slowly but with higher reliability. Mid Caps A balanced approach for mid-sized market caps. More sensitive than the Large-Cap variant, but filters more noise than the Small-Cap settings. Small Caps Higher sensitivity, optimized for more volatile coins (Top 100–200). Detects dynamic moves faster, but with higher risk of false signals. Meme Coins Adapted for highly speculative tokens. Accounts for extreme volatility and shorter cycles to better highlight overheating phases. --> This allows each user to select the variant best suited to the asset category being analyzed. ----- Recommended Usage Timeframe: Daily chart (highest precision). For very new projects, the 8h chart can be used. Asset selection: Coins with sufficient history (at least 200 trading days). ----- Interpretation: Oscillator rising from oversold → potential bottom / upward trend reversal Oscillator falling from overheated → potential top / profit-taking zone Movements in between indicate interim rallies or correction phases The indicator is not a day-trading tool, but optimized for cyclical moves and swing trading. ----- Notes: The SZN Altcoin Oscillator is an additional analysis tool and does not replace independent trading decisions. All signals are probabilistic; there is no guarantee of profits. Effectiveness depends on the specific altcoin and the current market phase. The indicator provides insights into broader market phases, not short-term price moves.
Indicatore Pine Script®
di SZN_Labs
Multi-TF 👀### Multi-Timeframe Analysis (MTF-Analysis) **Overview** The Multi-Timeframe Analysis indicator is a powerful visualization tool designed for traders who incorporate multi-timeframe (MTF) strategies into their decision-making process. It overlays compact, customizable candle representations from up to four higher timeframes directly on your chart, positioned to the right of the last bar for quick reference. This allows you to monitor price action, momentum via EMAs, and key levels like Fair Value Gaps (FVGs) across multiple resolutions without switching charts. Built with efficiency in mind, it supports automatic timeframe detection, real-time updates, and a clean, non-intrusive design that enhances your trading workflow. Ideal for day traders, swing traders, and scalpers, this indicator helps identify alignments between timeframes, spot potential reversals or continuations, and validate entries/exits based on higher-timeframe context. It leverages Pine Script v6 for smooth performance, with optimizations to handle up to 5000 bars back and extensive drawing limits. **Key Features** - **Multi-Timeframe Candle Display**: Renders recent candles (configurable from 5 to 100 per timeframe) from selected higher timeframes (e.g., 5m, 15m, 1H, 4H) as compact bars with customizable width, spacing, and padding. Bullish and bearish candles are color-coded for instant recognition. - **Automatic Timeframe Adaptation**: When enabled, the indicator intelligently selects complementary timeframes based on your chart's resolution (e.g., on a 1m chart, it might show 5m, 15m, and 1H). Manual overrides are available for full control. - **EMA Overlays**: Plots EMA9, EMA21, and EMA50 on each MTF section using a user-defined source (e.g., OHLC/4, close). EMAs can be dashed for clarity and enabled/disabled per timeframe, helping to gauge momentum and trend strength. - **Fair Value Gaps (FVGs)**: Detects bullish (+FVG) and bearish (-FVG) gaps with a configurable lookback length (5-50 bars). Gaps are visualized as dotted boxes extending from the candle, highlighting potential support/resistance zones or imbalances. - **Time Labels and Debugging**: Displays timestamp labels under every fourth candle for chronological context. A debug mode expands spacing and adds detailed labels (e.g., OHLC, volume, EMA values) for testing and verification. - **Customization Options**: Extensive inputs for colors (bodies, wicks, EMAs, FVGs), label sizes/styles, and layout ensure seamless integration with your chart theme. Supports futures symbols with a time offset adjustment. - **Performance Optimizations**: Uses arrays for efficient data management, clears drawings on realtime updates or timeframe changes, and limits buffer sizes to prevent overload. **How to Use** 1. Add the indicator to your chart via TradingView's "Indicators" menu. 2. Configure timeframes: Enable/disable up to four TFs and set the number of candles to display. Use "Auto Timeframe" for smart defaults. 3. Adjust EMAs: Select the source type and toggle per TF to focus on relevant momentum signals (e.g., EMA9 crossovers for short-term trades). 4. Enable FVGs: Activate per TF and tweak the length to suit your market (shorter for volatile assets, longer for trends). 5. Fine-tune appearance: Modify padding, candle width, and colors to avoid clutter. Use debug mode during setup. 6. Interpret: Align your chart's price action with MTF candles—look for confluence in trends, FVGs filling as support/resistance, or EMA alignments for high-probability setups. **Input Settings** - **General**: Hour offset for time adjustments (useful for futures). - **Timeframes**: Enable TFs 1-4, select resolutions (e.g., "5m"), and set candle counts. Auto mode simplifies this. - **FVG/iFVG**: Toggle per TF, customize colors and detection length. - **EMA**: Enable per TF, choose source, colors, and dashed style. - **Candle Appearance**: Bull/bear colors for bodies/wicks, width/spacing/padding, label size/color. - **Debug**: Expands view for detailed inspection. **Notes** - This indicator is non-repainting and updates in realtime, but performance may vary on lower timeframes with many candles—reduce counts if needed. - FVGs are calculated locally on recent bars for efficiency; historical gaps beyond the buffer aren't shown. - Compatible with all symbols, but best on volatile markets like forex, crypto, or indices. - Feedback welcome—updates may include more MA types or advanced FVG filters. Enhance your edge with multi-timeframe insights—try MTF-Analysis today!
Indicatore Pine Script®
di nepolix
Multi Timeframe BOS & rBOSThis is the same Multi-Timeframe Break of Structure and Market Structure Shift posted by Lenny_Kiruthu. However, the only difference is the naming of Market Structure Shift to rBOS (Break of Structure Reverse). To me, they are all break of structures when previous peaks or valleys are violated. The only difference is in sequence. Once a sequence of BOS reverses, then a new sequence begins. To me, this simplifies the various terminology incorporated by different systems such as ICT or SMT which adds unnecessary complexity. eT
Indicatore Pine Script®
di CheapTricks
2
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market Overview The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs." The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants. How It Works: The 3-Module Logic The indicator uses a multi-stage confirmation process to identify a potential stop hunt: 1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push. 2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales. 3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence: An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone. The same candle then reverses, closing back inside the previous price range. This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable. How to Interpret & Use This Indicator BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP. SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN. This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
Indicatore Pine Script®
di Iamalala
7