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MC WITH ALERTS DINESH SETHIYAManipulation Candle (MC): A candlestick that initially suggests price movement in one direction but then reverses, manipulating liquidity and closing in the opposite direction. Types of MCs: Bullish MC: Takes out the previous candle's low, reverses, takes out the previous candle's high, and closes above it. Bearish MC: Takes out the previous candle's high, reverses, takes out the previous candle's low, and closes below it. Ideal MC Characteristic: The rejection wick (bottom wick for bullish MC, top wick for bearish MC) should be larger than the directional wick.
Indicador Pine Script®
por astatrader24
Trading Mastery Indicator# Trading Mastery Indicator - Complete User Guide ## Overview The Trading Mastery Indicator is a professional-grade technical analysis tool that provides high-probability trading signals with complete trade management information including entry, stop loss, and take profit levels. ## Key Features - High-Quality Signal Detection: Identifies strong, medium, and weak trading opportunities - Complete Trade Setup: Provides entry, stop loss, and take profit for every signal - Risk Management: Calculates risk-to-reward ratios automatically - Elliott Wave Analysis: Integrated wave pattern and position analysis - Active Signal Tracking: Shows when you're currently in a trade - Professional Alerts: Detailed notifications with all trade parameters ## Signal Quality Classification ### STRONG Signals (Premium Quality) - Reliability: Highest probability setups - Market Conditions: Strong trending environments - Color: Teal for buys, Red for sells - When to Trade: These are your primary trading opportunities - Risk Profile: Lowest risk, highest reward potential ### MEDIUM Signals (Standard Quality) - Reliability: Good probability setups - Market Conditions: Moderate trend or consolidation breakouts - Color: Gold for buys, Purple for sells (Change to Blue Gray) - When to Trade: Secondary opportunities when strong signals are scarce - Risk Profile: Moderate risk, good reward potential ### WEAK Signals (Entry Quality) - Reliability: Lower probability setups - Market Conditions: Counter-trend or unclear market structure - Color: Coral for buys, Pink for sells - When to Trade: Only for experienced traders in specific market conditions - Risk Profile: Higher risk, variable reward ## How to Use the Indicator ### 1. Signal Settings Configuration Signal Filter Options: - All Signals: Shows every trading opportunity (strong, medium, weak) - High Quality Only: Shows only the highest probability setups - High + Medium Quality**: Balanced approach filtering out weak signals Recommended Settings by Experience: - Beginner: Use "High Quality Only" - Intermediate: Use "High + Medium Quality" - Advanced: Use "All Signals" with proper risk management Label Controls: - Label Position: Adjust how close labels appear to candles - Label Text Size: Choose based on screen size and preference - Maximum Labels: Control chart clutter (recommended: 20) ### 2. Understanding the Professional Panel The panel provides real-time market intelligence: Primary Trend: Market direction analysis - BULLISH TREND: Look for buy opportunities only - BEARISH TREND: Look for sell opportunities only - CONSOLIDATION: Market indecision, trade with caution Wave Pattern: Elliott Wave structure analysis - IMPULSE UP: Strong bullish momentum - IMPULSE DOWN: Strong bearish momentum - CORRECTION: Sideways/corrective movement Wave Position: Current Elliott Wave position - WAVE 3 (STRONG): Most powerful moves, best for trend following - WAVE 1 OR 5: Beginning or ending waves - WAVE 2 OR 4: Corrective phases, lower probability - CORRECTIVE ABC: Wait for pattern completion Signal Grade: Current signal status - SIGNAL ACTIVE: You're currently in a trade - PREMIUM/STANDARD/SPECULATIVE: New signal quality - NO SIGNAL: No current opportunities Trading Bias: Overall market direction - LONG BIAS: Focus on buy opportunities - SHORT BIAS: Focus on sell opportunities - NEUTRAL: No clear directional bias ### 3. Reading Signal Labels Each signal provides complete trade setup information: ``` STRONG BUY ━━━━━━━━━━━━━━━━━━━━ 💰 Entry: 1875.50 🛡️ SL: 1860.25 🎯 TP: 1905.75 📈 R:R = 1:2.0 ━━━━━━━━━━━━━━━━━━━━ ``` Understanding the Information: - Entry: Exact price level to enter the trade - SL: Stop loss level (risk management) - TP: Take profit level (profit target) - R:R: Risk-to-reward ratio (1:2.0 means you risk 1 to make 2) ### 4. Entry/TP/SL Level Lines Visual trade management aids: - Blue Solid Line: Entry level - Red Dashed Line: Stop loss level - Green Dashed Line: Take profit level - Small Labels: "ENTRY", "SL", "TP" markers ## Trading Strategy Guidelines ### Trend Following Strategy 1. Check Panel: Ensure trend aligns with your trade direction 2. Wait for Signals: Only trade in the direction of the primary trend 3. Quality First: Focus on STRONG signals during trending markets 4. Wave Timing: WAVE 3 positions offer the best trending opportunities ### Reversal Strategy 1. Look for Divergence: Panel shows trend change signals 2. Wait for Confirmation: Don't jump early on potential reversals 3. Use MEDIUM Signals: Often good for catching early trend changes 4. Watch Wave Position: CORRECTIVE ABC patterns may signal trend completion ### Risk Management Rules Position Sizing: - Risk no more than 1-2% of account per trade - Use the provided R:R ratios to calculate position sizes - Stronger signals can justify slightly larger positions Stop Loss Management: - Always use the provided stop loss levels - Never move stops against your position - Consider trailing stops once trade moves in your favor Take Profit Strategy: - Use provided TP levels as minimum targets - Consider taking partial profits at TP level - Let strong trends run beyond TP in trending markets ## Best Practices by Timeframe ### Scalping (M1-M5) - Use "High Quality Only" filter - Focus on STRONG signals only - Quick entry and exit - Expect more false signals due to market noise ### Intraday Trading (M15-H1) - Use "High + Medium Quality" filter - Good balance of opportunity and reliability - Hold trades for several hours - Most versatile timeframe for the indicator ### Swing Trading (H4-Daily) - Use "All Signals" with proper analysis - Hold trades for days to weeks - Most reliable signals on higher timeframes - Best for beginners due to less noise ## Panel Customization Position Options: - Top Right: Default, doesn't interfere with price action - Top Left: Good for wide screens - Bottom corners: Keeps important info visible while analyzing tops - Middle positions: Central reference, good for multi-monitor setups Size Options: - Small: Minimal screen space, good for small screens - Normal: Balanced visibility and space usage - Large: Easy reading, good for detailed analysis Transparency: Adjust 0-95% based on preference and chart background ## Common Mistakes to Avoid ### Signal Interpretation Errors - Don't ignore the trend: Trading against primary trend reduces success - Don't chase weak signals: Focus on quality over quantity - Don't ignore wave position: WAVE 2/4 corrections are lower probability ### Risk Management Errors - Don't skip stop losses: Every signal includes SL for a reason - Don't risk too much: Even strong signals can fail - Don't move stops against position: Stick to the plan ### Psychological Errors - Don't overtrade: Wait for quality setups - Don't second-guess strong signals: Trust the analysis - Don't panic on normal drawdowns: Expect some losing trades ## Alert Configuration Enable alerts for: - Strong signals: Primary trading opportunities - Medium signals: Secondary opportunities (optional) - Signal active status: Know when you're in trades Alert messages include complete trade information for easy execution. ## Performance Optimization ### For Best Results: 1. Combine with price action: Look for confluence with support/resistance 2. Consider market sessions: Different sessions have different characteristics 3. Monitor news events: Avoid trading during high-impact news 4. Keep a trading journal: Track which signals work best for your style ### Regular Review: - Weekly analysis: Review which signal types performed best - Timeframe assessment: Determine your most profitable timeframes - Strategy refinement: Adjust filters based on performance data ## Troubleshooting If you're not seeing signals: - Check that "Show Buy/Sell Signals" is enabled - Verify your signal filter isn't too restrictive - Market may be in a consolidation phase If labels are cluttered: - Reduce "Maximum Labels to Show" - Change label position to "Far from Candle" - Use smaller label text size If panel is in the way: - Change panel position - Increase transparency - Reduce panel size - Toggle panel off temporarily Remember: This indicator provides analysis and signals, but successful trading also requires proper risk management, emotional discipline, and understanding of market conditions. Always practice with demo accounts before risking real capital, and never risk more than you can afford to lose.
Indicador Pine Script®
por MasteryLab
Tristan's Star: 15m Shooting Star DetectorThis script is designed to be used on the 1-minute chart , but it analyzes the market as if you were watching the 15-minute candles. Every cluster of 15 one-minute candles is grouped together and treated as a single 15-minute candle. When that 15-minute “synthetic” candle looks like a shooting star pattern (small body near the low, long upper wick, short lower wick, bearish bias), the script triggers a signal. At the close of that 15-minute cluster, the script will: Plot a single “Sell” label on the last 1-minute bar of the group. Draw a horizontal line across the 15 bars at the high, showing the level that created the shooting star. Optionally display a table cell in the corner with the word “SELL.” This lets you stay on the 1-minute timeframe for precision entries and exits, while still being alerted when the higher-timeframe (15-minute) shows a bearish reversal pattern.
Indicador Pine Script®
por OhRayOhRay
1
MA DeviationEnglish Description Overview The "MA Deviation" indicator is a powerful tool designed to measure and visualize the percentage difference between three separate moving averages. By quantifying the deviation, traders can gain insights into trend strength, potential reversals, and periods of market consolidation. When the moving averages diverge significantly, it often signals a strong, directional move. This indicator is displayed in a separate pane below the main price chart. Key Features Three Customizable Moving Averages: You can independently configure the type (SMA, EMA, WMA, etc.) and length for three distinct moving averages (MA1, MA2, MA3). Multiple Deviation Plots: The indicator plots the percentage deviation between: MA1 and MA2 (Blue Line) MA2 and MA3 (Red Line) MA1 and MA3 (Green Line) You can toggle each of these lines on or off. Visual Threshold Signals: A key feature is the dynamic background color. The background turns green when all enabled deviation lines move above a user-defined positive threshold (e.g., +0.5%), indicating a strong bullish consensus among the moving averages. The background turns red when all enabled deviation lines fall below the negative threshold (e.g., -0.5%), indicating a strong bearish consensus. Built-in Alerts: The script includes three specific alert conditions that trigger only on the first bar where the condition is met, preventing repetitive notifications: The Color Came Out: Triggers when the background first turns either green or red. Long Chance: Triggers only when the background first turns green. Short Chance: Triggers only when the background first turns red. How to Use This indicator can be used to confirm trend strength or identify potential entry/exit points. For example: A green background can be interpreted as a potential long entry signal or confirmation of a strong uptrend. A red background can suggest a potential short entry opportunity or confirmation of a strong downtrend. When the deviation lines hover around the zero line, it indicates that the market is consolidating or ranging. Adjust the moving average lengths and the threshold percentage to tailor the indicator to your specific trading strategy and timeframe. 日本語説明 (Japanese Description) 概要 「MA Deviation」インジケーターは、3つの異なる移動平均線間の乖離率（パーセンテージ）を測定し、視覚化するために設計された強力なツールです。この乖離を数値化することで、トレーダーはトレンドの強さ、潜在的な反転、市場のレンジ相場についての洞察を得ることができます。移動平均線が大きく乖離する時、それはしばしば強力な方向性のある動きを示唆します。 このインジケーターは、メインの価格チャートの下にある別ペインに表示されます。 主な特徴 3つのカスタム可能な移動平均線: 3つの移動平均線（MA1, MA2, MA3）それぞれに対して、タイプ（SMA, EMA, WMAなど）と期間を個別に設定できます。 複数の乖離率プロット: このインジケーターは、以下の乖離率をラインでプロットします。 MA1とMA2の乖離率（青ライン） MA2とMA3の乖離率（赤ライン） MA1とMA3の乖離率（緑ライン） これらのラインはそれぞれ表示・非表示を切り替えることが可能です。 背景色による視覚的なシグナル: このツールの最大の特徴は、動的に変化する背景色です。 有効になっている全ての乖離率ラインが、ユーザーが設定した正のしきい値（例：+0.5%）を上回ると、背景が緑色に変わります。これは移動平均線間で強気なコンセンサスが形成されていることを示します。 有効になっている全ての乖離率ラインが、負のしきい値（例：-0.5%）を下回ると、背景が赤色に変わります。これは弱気なコンセンサスを示します。 ビルトイン・アラート: スクリプトには、条件が成立した最初のバーでのみ作動する3種類のアラート機能が含まれており、繰り返し通知されるのを防ぎます。 The Color Came Out: 背景色が緑または赤に初めて変化した時にトリガーされます。 Long Chance: 背景色が初めて緑色に変化した時にのみトリガーされます。 Short Chance: 背景色が初めて赤色に変化した時にのみトリガーされます。 使用方法 このインジケーターは、トレンドの強さを確認したり、エントリー/エグジットのポイントを探るために使用できます。例えば、 緑色の背景は、ロングエントリーのシグナル、または強い上昇トレンドの確認と解釈できます。 赤色の背景は、ショートエントリーの機会、または強い下降トレンドの確認を示唆します。 乖離率ラインがゼロライン付近で推移しているときは、市場がレンジ相場であることを示します。 ご自身のトレーディング戦略や時間足に合わせて、移動平均線の期間やしきい値（%）を調整してご活用ください。
Indicador Pine Script®
por shionn777_13
TrendIsYourFriend Strategy (SPY,IWM,VYM,XLK,SPXL,BTC,GOLD,VT...)Personal disclaimer Don’t trust this strategy. Don’t trust any other model either just because of its author or a backtest curve. Overfitting is an easy trap, and beginners often fall into it. This script isn’t meant to impress you. It’s meant to survive reality. If it does, maybe it will raise questions and you’ll remember it. Legal disclaimer Educational purposes only. Not financial advice. Past performance is not indicative of future results. Strategy description Long-only, trend-based logic with two entry types (trend continuation or excess-move reversion), dynamic stop-losses, and a VIX filter to avoid turbulent markets. Minimal number of parameters with enough trades to support robustness. For backtest, each trade is sized at $10,000 flat (no compounding, to focus on raw model quality and the regularity of its results over time). Fees = $0 (neutral choice, as brokers differ). Slippage = $0, deliberate choice: most entries occur on higher timeframes, and some assets start their history on charts at very low prices, which would otherwise distort results. What makes this script original Beyond a classical trend calculation, both excess-move entries and dynamic stop-loss exits also rely on trend logic. Except for the VIX filter, everything comes from trend functions, with very few parameters. Pre-configurations are fixed in the code, allowing sincere performance tracking across a dozen cases over the medium to long term. Allowed SPY (ARCA) — 2-hour chart: S&P 500 ETF, most liquid equity benchmark IWM (ARCA) — Daily chart: Russell 2000 ETF, US small caps VYM (ARCA) — Daily chart: Vanguard High Dividend Yield ETF XLK (ARCA) — Daily chart: Technology Select Sector SPDR SPXL (ARCA) — Daily chart: 3× leveraged S&P 500 ETF BTCUSD (COINBASE) — 4-hour chart: Bitcoin vs USD GOLD (TVC) — Daily chart: Gold spot price VT (ARCA) — Daily chart: Vanguard Total World Stock ETF PG (NYSE) — Daily chart: Procter & Gamble Co. CQQQ (ARCA) — Daily chart: Invesco China Technology ETF EWC (ARCA) — Daily chart: iShares MSCI Canada ETF EWJ (ARCA) — Daily chart: iShares MSCI Japan ETF How to use and form an opinion on it Works only on the pairs above. Feel free to modify the input parameters (slippage, fees, order size, margins, …) to see how the model behaves under your own conditions Compare it with a simple Buy & Hold (requires an order size of 100% equity). You may also want to look at its time-in-market — the share of time your capital is actually at risk. Finally, let me INSIST on this : let it run live for months before forming an opinion! Share your thoughts in the comments 🚀 if you’d like to discuss its live performance.
Estratégia Pine Script®
por Email-Trader
6
EMA + MACD Entry Signals （Jason Wang）EMA9、20、200 + MACD（12、26、9） Entry Signals ，严格的设置出入场条件 1.做多的k棒： • EMA9 > EMA200 • EMA20 > EMA200 • EMA9 > EMA20 • MACD DIF > 0 且 DIF > DEM • 入场信号： • DIF 上穿 DEM • 或 EMA9 上穿 EMA20 2.做空的k棒： • EMA9 < EMA200 • EMA20 < EMA200 • EMA9 < EMA20 • MACD DIF < 0 且 DIF < DEM • 入场信号： • DIF 下穿 DEM • 或 EMA9 下穿 EMA20
Indicador Pine Script®
por jason823222
Ober Trend Oscillator [by Oberlunar]The Ober Trend Oscillator by Oberlunar unifies a volume-weighted view of price with order-flow information in a single, disciplined signal. At its core is a Triple Hull Moving Average applied to the session VWAP. This pairing is intentional: the Hull family is widely used because its quadratic weighting and internal differencing reduce phase lag versus SMA/EMA while preserving a smooth, readable contour; running it on top of VWAP anchors the calculation to a price already “risk-weighted” by volume, which behaves in practice like a microstructural equilibrium level. Around VWAP, the indicator computes standard-deviation envelopes that provide statistical context; excursions to the far band against the prevailing direction often mark probabilistic excess and become the first checkpoint for signal qualification. The order-flow module is built on a tick-rule Cumulative Volume Delta, the most robust choice when native bid/ask deltas are unavailable. Volumes are signed by up- or down-moves, cumulatively integrated, then smoothed by a configurable EMA. To make the series comparable across instruments and timeframes, the CVD is standardised via an adjustable z-score window. This normalisation matters because it reframes “push” and “exhaustion” as deviations from recent behaviour rather than absolute thresholds tied to each market’s idiosyncratic liquidity. When enabled, a pivot-based divergence engine searches for fresh local highs or lows in price that the CVD refuses to confirm and annotates the symbol Δ with the percentage size of the divergence on price, on CVD, or both. Quantifying divergence avoids binary, eye-ball readings and lets you compare the relative strength of signals over time. Signal generation follows a two-stage logic. Stage one is regime detection by the THMA on VWAP. The slope of the long THMA defines the primary trend, while the instantaneous difference between the THMA and its own lag sets the “serpentine” colour that conveys the local direction of pressure. Using slope on the longer window is deliberate: trend-following practice shows that slope filters materially reduce false positives in choppy regimes. Stage two enforces contextual alignment between price and higher-timeframe VWAP bands. For a long, the THMA computed on the higher-timeframe VWAP must sit below the current curve and below the second lower deviation, consistent with either a mean-reverting excess or early re-accumulation; shorts are defined symmetrically. Volume-flow confirmation is then required through either a rising CVD, a supportive z-score, or a detected pivot divergence in the same direction. To discourage over-trading, signals alternate by design and a strict colour gate is applied: a green diamond is never printed on a red line and bullish divergences are not drawn when the serpentine indicates bearish pressure. This visual consistency is not cosmetic; it reduces cognitive dissonance between filters and execution signal and improves reading discipline. Parameters are organised to make these choices explicit. The main THMA length controls the oscillator’s sensitivity to VWAP, while the “trend” and “long-term” lengths drive the slope filter, with the latter acting as the regime anchor. The higher timeframe used to compute THMA on VWAP is the context-alignment knob and enables true multi-period operation, which is essential in fractal markets such as crypto, FX and equity indices. The VWAP deviation multiplier sets the breadth of the statistical bands; values modestly below one are a deliberate default to keep excess detection sensitive without turning the envelopes into a very wide channel. The ATR window that drives the line’s thickness is not a visual gimmick: thickness adapts to volatility and communicates the movement’s energy at a glance, much like an adaptive envelope. The CVD package offers full control. A dedicated timeframe lets you decouple order-flow estimation from the chart’s timeframe when a slower, more reliable read of pressure is preferred. The calculation mode can reference Close-to-Close for responsiveness or HL2 for slightly greater robustness to closing noise, depending on the instrument’s microstructure. EMA smoothing governs granularity, the slope lookback sets how many observations are required to validate an inflection, and the z-score length defines the statistical horizon for normalisation—longer windows make the signal steadier, shorter windows make it more tactical. The pivot divergence option with percentage sizing grades relevance rather than merely flagging presence. Measuring both the price change between pivots and the CVD change is intentional: the most actionable divergences exhibit not only directionally opposing shapes but also a quantitative mismatch between price and flow; putting the two numbers side by side clarifies whether price is outrunning flow or flow is reversing ahead of price. On the attached weekly Bitcoin example, the turquoise serpentine highlights impulsive phases while red denotes retracement or distribution. Δ labels with “P:%” and “C:%” mark points where price sets a new extreme without a matching CVD extreme; the percentage annotation helps distinguish a trivial imbalance from a credible exhaustion. Diamonds appear only when their colour agrees with the serpentine, and their location relative to the higher-TF VWAP bands clarifies when the market stops pushing “with volume” and starts pushing “against volume”—often the operational cue that precedes mean reversion or a consolidation before the next impulse. Three methodological choices deserve emphasis. The THMA-on-VWAP architecture addresses the classic lag-versus-noise trade-off by combining a low-lag smoother with a volume-anchored base series that reflects institutional execution practice. Z-scoring the CVD is consistent with a statistical reading of flow that reasons in deviations from expected behaviour rather than fixed thresholds, which is particularly relevant on assets with shifting liquidity regimes. Finally, the colour gate plus signal alternation mitigates the well-known clustering of false positives in sideways markets: you do not print green on red or red on green, and you do not fire the same direction twice in a row without an opposite transition, which avoids hammering into the same move. Practical usage is straightforward. Select your trading timeframe and align context with a higher timeframe in the VWAP-THMA; tune the VWAP deviation multiplier to match the instrument’s excess profile; choose an equal or slower CVD timeframe to extract structural pressure; enable divergence sizing when you want to measure, not only see, the gap between price and flow. Signals can also be drawn on the main chart, so next to candles, you will see both the execution diamonds and Δ labels with their percentage sizes. If you work with higher-timeframe inputs via `request.security`, be aware that those series confirm only at their own close; you can require confirmation for both the higher-TF VWAP and CVD timeframes to eliminate any practical repaint. Integrated alerts tied to THMA+VWAP+CVD validation convert discretionary reading into a monitorable workflow consistent with systematic routines. Known limitations are stated explicitly. Tick-rule CVD is an approximation and, while standard in the absence of native bid/ask deltas, it may diverge from “true” delta on venues with unusual execution dynamics; normalisation helps but does not eliminate this. Pivot divergences depend on swing definition and require sensitivity calibration to avoid over-signalling on erratic markets. By construction, the oscillator favours trending contexts with statistically motivated pullbacks; during prolonged congestion, signals will naturally thin out, and the standardised CVD becomes the primary discriminator. In sum, the Ober Trend Oscillator is a dual-channel reader: the THMA-on-VWAP line tells you about regime and movement quality, and the normalised CVD tells you about the pressure sustaining that movement. When the two stories align, continuation probability improves; when they diverge, the Δ annotation quantifies the gap and offers an objective basis for judging whether you are seeing a healthy pause or an impending reversal. The integration of volume-weighted price, simple statistics, and order-flow makes the indicator genuinely multi-period, capable of scaling from intraday to swing without changing its visual language or its decision criteria. Oberlunar 👁️⭐
Indicador Pine Script®
por oberlunar_tr
1
CNagda Anchor2EntryCNagda Anchor2Entry Pine Script v6 overlay indicator pulls higher-timeframe (HTF) signal events to define anchor high/low levels and then projects visual entry labels on the lower-timeframe (LTF). It also draws auto-oriented Fibonacci retracement/extension levels for context, but it does not execute orders, stops, or targets—only visual guidance. Inputs Key inputs include Lookback Length for HTF scanning and a Signal Timeframe used with request.security to import HTF events onto the active chart. Entry behavior can be set to “Confirm only” or “Wait candle,” trade side can be restricted to Buy/Sell/Both, and individual strategies (Buy WAIT/S1; Sell REV/S1/S2/S3) can be toggled. HTF logic The script defines WAIT/BUY setup and confirmation, SELL reversal on breaking the WAIT BUY low, and several volume/candle-based patterns (Sell S1/S2/S3, Buy S1). It captures the associated highs/lows at those events with ta.valuewhen and imports them via request.security to form anchors (anc_hi/anc_lo) and “new trigger” booleans that gate label creation on the LTF. Flip entries When enabled, “Flip entries” generate contrarian labels based on breaking or confirming HTF anchors: crossing above anc_hi can trigger a flip-to-sell label, and crossing below anc_lo can trigger a flip-to-buy label. The flip mode supports Immediate (on cross) or Confirm (on sustained break) to control how strict the trigger is. Fibonacci drawing User-specified Fib levels are parsed from a string, safely converted to floats, and drawn as dotted horizontal lines only when they fall inside an approximate visible viewport. Orientation (up or down) is decided automatically from pending signal direction and a simple context score (candle bias, trend, and price vs. mid), with efficient redraw/clear guards to avoid clutter. Dynamic anchors If HTF anchors are missing or too far from current price (checked with an ATR-based threshold), the script falls back to local swing highs/lows to keep the reference range relevant. This dynamic switch helps Fib levels and labels remain close to current market structure without manual intervention. Signal labels Labels are created only on confirmed bars to avoid repainting noise, with one “latest” label kept by deleting the previous one. The script places BUY/SELL labels for WAIT/CONFIRM, direct HTF patterns (Buy S1, Sell S1/S2/S3), and contrarian flip events, offset slightly from highs/lows with clear coloring and configurable sizes. Visual context Bars are softly colored (lime tint for bullish, orange tint for bearish) for quick context, and everything renders as an overlay on the price chart. Fib labels include a Δ readout (distance from current close), and line extension length, label sizes, and viewport padding are adjustable. How to use Set the Signal Timeframe and Lookback Length to establish which HTF structures and ranges will drive the anchors and entry conditions. Choose entry flow (Wait vs Confirm), enable Flip if contrarian triggers are desired, select the trade side, toggle strategies, and customize Fibonacci levels plus dynamic-anchor fallback for practical on-chart guidance. Notes This is a visual decision-support tool; it does not place trades, stops, or targets and should be validated on charts before live use. It is written for Pine Script v6 and relies heavily on request.security for HTF-to-LTF transfer of signals and anchors.
Indicador Pine Script®
por cnagda3
1
Buyer vs Seller Control CompanionBuyer vs Seller Control Companion (Overlay) Crossover signal overlay based on candlestick wick analysis moving averages Overview: This companion indicator displays crossover signals directly on the price chart based on the same buyer vs seller control calculations. It identifies moments when the relationship between buying and selling pressure shifts by analyzing where prices close relative to their intraday ranges. Calculation Method: The indicator uses identical calculations to the main Buyer vs Seller Control indicator: Visual Components: Lime Triangle Up: Appears below price bars when buyer control SMA crosses above seller control SMA Fuchsia Triangle Down: Appears above price bars when seller control SMA crosses above buyer control SMA Signal Logic: Crossover events are detected when one moving average crosses above or below the other. These crossovers indicate potential shifts in the balance between buying and selling pressure as measured by candlestick closing positions relative to their wicks. Arrow Placement: Upward Triangle: Positioned below the bar when buyer control moving average exceeds seller control moving average Downward Triangle: Positioned above the bar when seller control moving average exceeds buyer control moving average Size: Small triangular shapes to avoid cluttering the price chart Timing: Arrows appear only on bars where actual crossovers occur Settings: Moving Average Period: Adjustable from 1-200 periods (default: 20) Technical Notes: This overlay version works on any timeframe Arrows only appear when crossovers actually occur, not on every bar The indicator uses the same mathematical foundation as the main oscillator version Signal frequency depends on the chosen moving average period Shorter periods generate more frequent crossovers, longer periods generate fewer Relationship to Main Indicator: This companion overlay displays the exact crossover points that can be observed in the main Buyer vs Seller Control indicator. It provides the same information but presents it directly on the price chart for convenient reference without switching between indicator panes. This overlay serves as a visual reference tool for crossover events detected in the underlying buyer vs seller control analysis.
Indicador Pine Script®
por farkasszilard
Buyer vs Seller ControlBuyer vs Seller Control Analysis Technical indicator measuring market participation through candlestick wick analysis Overview: This indicator analyzes the relationship between closing prices and candlestick wicks to measure buying and selling pressure. It calculates two key metrics and displays their moving averages to help identify market sentiment shifts. Calculation Method: The indicator measures two distinct values for each candle: Buyer Control Value: Distance from candle low to closing price (close - low) Seller Control Value: Distance from candle high to closing price (high - close) Both values are then smoothed using a Simple Moving Average (default period: 20) to reduce noise and show clearer trends. Visual Components: Lime Line: 20-period SMA of buyer control values Fuchsia Line: 20-period SMA of seller control values Area Fill: Colored region between the two lines Histogram: Difference between buyer and seller control SMAs Zero Reference Line: Horizontal line at zero level Information Table: Current numerical values (optional display) Interpretation: When the lime line (buyer control) is above the fuchsia line (seller control), it indicates that recent candles have been closing closer to their highs than to their lows on average. When the fuchsia line is above the lime line, recent candles have been closing closer to their lows than to their highs on average. Fill Color Logic: Lime (green) fill appears when buyer control SMA > seller control SMA Fuchsia (red) fill appears when seller control SMA > buyer control SMA Fill transparency adjusts based on the magnitude of difference between the two SMAs Stronger differences result in more opaque fills Settings: Moving Average Period: Adjustable from 1-200 periods (default: 20) Show Info Table: Toggle to display/hide the numerical values table Technical Notes: The indicator works on any timeframe Values are displayed in the same units as the underlying asset's price The histogram shows the mathematical difference between the two SMA lines Transparency calculation uses a 50-period lookback for dynamic scaling This indicator provides a quantitative approach to analyzing candlestick patterns by focusing on where prices close relative to their intraday ranges.
Indicador Pine Script®
por farkasszilard
Initial Balance Breakout Signals [LuxAlgo]The Initial Balance Breakout Signals help traders identify breakouts of the Initial Balance (IB) range. The indicator includes automatic detection of IB or can use custom sessions, highlights top and bottom IB extensions, custom Fibonacci levels, and goes further with an IB forecast with two different modes. 🔶 USAGE The initial balance is the price range made within the first hour of the trading session. It is an intraday concept based on the idea that high volume and volatility enter the market through institutional trading at the start of the session, setting the tone for the rest of the day. The initial balance is useful for gauging market sentiment, or, in other words, the relationship between buyers and sellers. Bullish sentiment: Price trades above the IB range. Mixed sentiment: Price trades within the IB range. Bearish sentiment: Price trades below the IB range. The initial balance high and low are important levels that many traders use to gauge sentiment. There are two main ideas behind trading around the IB range. IB Extreme Breakout: When the price breaks and holds the IB high or low, there is a high probability that the price will continue in that direction. IB Extreme Rejection: When the price tries to break those levels but fails, there is a high probability that it will reach the opposite IB extreme. This indicator is a complete Initial Balance toolset with custom sessions, breakout signals, IB extensions, Fibonacci retracements, and an IB forecast. All of these features will be explained in the following sections. 🔹 Custom Sessions and Signals By default, sessions for Initial Balance and breakout signals are in Auto mode. This means that Initial Balance takes the first hour of the trading session and shows breakout signals for the rest of the session. With this option, traders can use the tool for open range trading, making it highly versatile. The concept behind open range (OR) is the same as that of initial balance (IB), but in OR, the range is determined by the first minute, three or five minutes, or up to the first 30 minutes of the trading session. As shown in the image above, the top chart uses the Auto feature for the IB and Breakouts sessions. The bottom chart has the Auto feature disabled to use custom sessions for both parameters. In this case, the first three minutes of the trading session are used, turning the tool into an Open Range trading indicator. This chart shows another example of using custom sessions to display overnight NASDAQ futures sessions. The left chart shows a custom session from the Tokyo open to the London open, and the right chart shows a custom session from the London open to the New York open. The chart shows both the Asian and European sessions, their top and bottom extremes, and the breakout signals from those extremes. 🔹 Initial Balance Extensions Traders can easily extend both extremes of the Initial Balance to display their preferred targets for breakouts. Enable or disable any of them and set the IB percentage to use for the extension. As the chart shows, the percentage selected on the settings panel directly affects the displayed levels. Setting 25 means the tool will use a quarter of the detected initial balance range for extensions beyond the IB extremes. Setting 100 means the full IB range will be used. Traders can use these extensions as targets for breakout signals. 🔹 Fibonacci Levels Traders can display default or custom Fibonacci levels on the IB range to trade retracements and assess the strength of market movements. Each level can be enabled or disabled and customized by level, color, and line style. As we can see on the chart, after the IB was completed, prices were unable to fall below the 0.236 Fibonacci level. This indicates significant bullish pressure, so it is expected that prices will rise. Traders can use these levels as guidelines to assess the strength of the side trying to penetrate the IB. In this case, the sellers were unable to move the market beyond the first level. 🔹 Initial Balance Forecast The tool features two different forecasting methods for the current IB. By default, it takes the average of the last ten values and applies a multiplier of one. IB Against Previous Open: averages the difference between IB extremes and the open of the previous session. Filter by current day of the week: averages the difference between IB extremes and the open of the current session for the same day of the week. This feature allows traders to see the difference between the current IB and the average of the last IBs. It makes it very easy to interpret: if the current IB is higher than the average, buyers are in control; if it is lower than the average, sellers are in control. For example, on the left side of the chart, we can see that the last day was very bullish because the IB was completely above the forecasted value. This is the IB mean of the last ten trading days. On the right, we can see that on Monday, September 15, the IB traded slightly higher but within the forecasted value of the IB mean of the last ten Mondays. In this case, it is within expectations. 🔶 SETTINGS Display Last X IBs: Select how many IBs to display. Initial Balance: Choose a custom session or enable the Auto feature. Breakouts: Enable or disable breakouts. Choose custom session or enable the Auto feature. 🔹 Extensions Top Extension: Enable or disable the top extension and choose the percentage of IB to use. Bottom extension: Enable or disable the bottom extension and choose the percentage of IB to use. 🔹 Fibonacci Levels Display Fibonacci: Enable or disable Fibonacci levels. Reverse: Reverse Fibonacci levels. Levels, Colors & Style Display Labels: Enable or disable labels and choose text size. 🔹 Forecast Display Forecast: Select the forecast method. - IB Against Previous Open: Calculates the average difference between the IB high and low and the previous day's IB open price. - Filter by Current Day of Week: Calculates the average difference between the IB high and low and the IB open price for the same day of the week. Forecast Memory: The number of data points used to calculate the average. Forecast Multiplier: This multiplier will be applied to the average. Bigger numbers will result in wider predicted ranges. Forecast Colors: Choose from a variety of colors. Forecast Style: Choose a line style. 🔹 Style Initial Balance Colors Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Indicador Pine Script®
por LuxAlgo
11
Stiffness IndexStiffness Index Indicator Overview The Stiffness Index is a technical analysis indicator created by Markos Katsanos and first introduced in the November 2018 issue of Technical Analysis of Stocks & Commodities magazine. This indicator attempts to recognize strong price trends by counting the number of times price was above the 100-day moving average during the indicator period. Core Philosophy The premise is the fewer number of times price penetrates the MA, the stronger the trend. The philosophy behind this indicator is that traders should trade when the trend is at its strongest point - when the trend is at its "stiffest". Based on the observation that in strong long-lasting uptrends, price seldom penetrates the 100-bar simple moving average, this indicator helps assess the quality and strength of an uptrend. How It Works The Stiffness Index operates through several key components: 1. Moving Average Baseline: Uses a 100-period moving average as the primary reference level 2. Volatility Threshold: Includes a volatility threshold to eliminate minor movements - typically 0.2 standard deviations to reject minimal penetrations above the moving average 3. Counting Mechanism: Calculates the stiffness coefficient as the ratio of the number of times the price has closed above the moving average during the indicator period to the length of that period 4. Smoothing: Applies additional smoothing to the final result for cleaner signals Key Components Input Parameters - Period 1 (100): The moving average period for the baseline calculation - MA Method 1: Type of moving average for the baseline (SMA, EMA, SMMA, LWMA) - Summation Period (60): The lookback period for counting closes above the moving average - Period 2 (3): Smoothing period for the final signal line - MA Method 2: Smoothing method for the signal line - Threshold Level (80): Reference level for identifying strong trends Visual Elements - Blue Signal Line: The main stiffness reading showing trend strength - Dotted Line: Adjustable threshold level for reference Interpretation and Trading Applications Signal Readings - High Values (Above Threshold): Indicates a "stiff" trend where price consistently stays above the moving average with minimal penetrations - Low Values (Below Threshold): Suggests a weaker trend with frequent penetrations of the moving average - Original threshold levels mentioned in research range from 75-95 Trading Strategy The original strategy suggests entering long positions when the stiffness reading reaches 90 or higher, with exits when the reading drops below 50. Some implementations use a threshold of 75 for entry confirmation. Key Characteristics - Designed primarily for stocks and instruments with upward bias - Trades infrequently - typically about once per year when using strict parameters - Best suited for trend-following strategies in strongly trending markets Advantages - Trend Quality Assessment: Quantifies the "stiffness" or quality of trends - Volatility Filtering: Built-in volatility threshold reduces false signals from minor price movements - Objective Measurement: Provides a numerical assessment of trend strength - Customizable: Multiple parameters allow adaptation to different markets and timeframes Best Practices - Use in conjunction with baseline trend indicators for confirmation - Most effective in markets with strong directional bias - Consider the low frequency of signals when developing trading strategies - May not be suitable for instruments that "twitch up and down" frequently *Note: This indicator is specifically designed to identify and trade the strongest trending periods, which naturally results in fewer but potentially higher-quality trading opportunities.*
Indicador Pine Script®
por AlgoCollective
88-Key Piano Range - Musical Price Levels88-Key Piano Range - Musical Price Levels Description: Explore price analysis through musical harmony! This educational indicator maps price movements to the standard 88-key piano keyboard (A0 to C8), offering a creative way to visualize market ranges and explore harmonic price relationships with authentic keyboard-style background fills. 🎹 KEY FEATURES: • Complete 88-Key Mapping - Full piano range from A0 to C8 mapped to your price range • Piano-Style Visual Design - Clean background fills distinguishing white keys, black keys, and octaves • Dual Anchor System - Set two time/price points to define your analytical range • Flexible Display Options - Show all 88 keys, octaves only (C notes), or custom selections • Harmonic Exploration - Explore consonant/dissonant key relationships based on music theory • Real-time Price Note - See what musical note your current price represents • Customizable Interface - Adjust colors, line widths, fills, and visual elements 🎵 EDUCATIONAL CONCEPTS: • Octave Levels - C notes as harmonic reference points (similar to round numbers) • Key Classifications - Natural notes (white keys) vs chromatic notes (black keys) • Harmonic Intervals - Musical relationships applied to price analysis • Creative Visualization - Alternative way to view price ranges and movements ⚙️ HOW TO USE: 1. Select Your Price Leg - Choose an upleg, downleg, or significant price movement to explore 2. Set Anchor A - Place at the start of your selected leg (swing low for upleg, swing high for downleg) 3. Set Anchor B - Place at the end of your selected leg (swing high for upleg, swing low for downleg) 4. Configure Display - Select all keys, octaves only, or enable background fills 5. Explore Harmonics - Enable harmony coloring to see musical relationships 6. Study Patterns - Observe how price movements align with musical intervals 🎼 CREATIVE APPLICATIONS: • Experimental Analysis - Try a musical approach to leg analysis • Educational Tool - Learn about mathematical relationships in both music and markets • Alternative Perspective - View support/resistance through a musical lens • Pattern Recognition - Explore if harmonic levels show interesting price behavior • Fun Learning - Combine musical knowledge with trading concepts 📊 EXPERIMENTAL USE: • Creative alternative to traditional Fibonacci levels • Educational exploration of mathematical harmony in markets • Interesting way to visualize price ranges and retracements • Novel approach for musicians interested in trading concepts Important Note: This is an educational and experimental tool that applies musical theory concepts to price analysis. It should be used for learning and exploration purposes alongside proven technical analysis methods. The musical relationships are mathematically based but not validated as reliable trading signals.
Indicador Pine Script®
por geneclash
1
Axel Alts — Support CloudOverview Axel Alts is a custom indicator designed to visualize dynamic support zones for cryptocurrencies, including both Bitcoin and altcoins. It creates an adaptive “support cloud” by combining recent market lows, Fibonacci-based sticky logic, and visual smoothing. Unlike static levels, this tool aims to “hold” important zones during volatile moves while avoiding constant recalculations that can confuse traders. How it works Base Calculation The indicator looks back over recent price bars and detects the Lowest Low. From this base point, two key offsets are derived: Upper Support (closer to price). Lower Support (deeper support level). These offsets are defined as fractions of the most recent low and smoothed with a moving average. Sticky Fibonacci Logic Normal moving averages adjust with every new candle, sometimes creating unstable zones. To prevent this, a “sticky” mechanism is applied: Levels can only shift if price moves beyond a trigger threshold. Even then, the adjustment per bar is limited to a maximum step. This creates the effect of “holding” the support until price meaningfully breaks. Smoothing of Transitions To avoid sharp corners when a level finally updates, a smoothstep interpolation is applied. This ensures gradual, curved transitions on the chart, visually closer to a real “cloud” than to a step-line. Background Cloud The area between Upper Support and Lower Support is shaded. This highlights a “support zone” where pullbacks may stabilize. Shading can be toggled in the Style tab (as Background). How to use it Support Zone Identification The shaded area represents a potential demand zone. If price enters the cloud and reacts , it can serve as an early sign of accumulation or bounce. Trend Context On higher timeframes (1D, 1W), these zones can highlight where large corrections find support. On intraday timeframes, they can show where pullbacks may pause before resuming a move. Risk Management The cloud is not an entry signal but a map of areas. Traders may choose to combine it with oscillators, momentum signals, or volume to refine timing. Stops are often placed below the Lower Support, while scaling in near Upper Support is common in confluence strategies. Features Two adaptive levels: Upper Support and Lower Support. Automatic sticky control (limits false shifts during chop). Visual smoothing (reduces noise, keeps chart clean). Locked parameters (all tuning is done inside code; no editable inputs). Clean, minimal interface in the Style tab. Limitations Does not provide buy/sell alerts. Levels are based only on recent lows; sudden market events can break through without warning. Works best as a context tool, not a standalone strategy. Disclaimer This script is for educational and informational purposes only. It should not be considered financial advice and does not guarantee profits. Always conduct your own research and use proper risk management.
Indicador Pine Script®
por AxelAlts
StdDev Supertrend {CHIPA}StdDev Supertrend ~ C H I P A is a supertrend style trend engine that replaces ATR with standard deviation as the volatility core. It can operate on raw prices or log return volatility, with optional smoothing to control noise. Key features include: Supertrend trailing rails built from a stddev scaled envelope that flips the regime only when price closes through the opposite rail. Returns-based mode that scales volatility by log returns for more consistent behavior across price regimes. Optional smoothing on the volatility input to tune responsiveness versus stability. Directional gap fill between price and the active trend line on the main chart; opacity adapts to the distance (vs ATR) so wide gaps read stronger and small gaps stay subtle. Secondary pane view of the rails with the same adaptive fade, plus an optional candle overlay for context. Clean alerts that fire once when state changes Use cases: medium-term trend following, stop/flip systems, and visual regime confirmation when you prefer stddev-based distance over ATR. Note: no walk-forward or robustness testing is implied; parameter choices and risk controls are on you.
Indicador Pine Script®
por C_H_I_P_A
cd_bsl_ssl_CxGeneral This indicator is designed to show the levels where stop-loss orders from buyers and sellers are most likely clustered. Swing levels formed on the aligned higher time frame (HTF) are displayed on the chart as Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). ________________________________________ Menu & Usage • HTF Selection: o In “Auto” mode, the HTF is selected automatically. o In “Manual” mode, the user can choose the HTF themselves. • Bar Control: By adjusting the bar control value, the user can define the number of bars required for a valid BSL or SSL sweep. This option helps keep the number of alerts under control. ________________________________________ I’d be happy to hear your feedback and suggestions. Happy trading! 🎉
Indicador Pine Script®
por cdikici71
7
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired) Version : PineScript™v6 📌Description The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms. The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action. 🚀Points of Innovation ● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition ● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model ● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms ● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment ● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency ● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters 🔧Core Components ● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations ● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing ● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis ● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control ● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills 🔥Key Features ● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds ● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling ● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours ● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models ● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits ● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability 🎨Visualization ● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores ● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones ● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition ● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance 📖Usage Guidelines ● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation ● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements ● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation ● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries ● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms ● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter ● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts ● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability ● Width Weight w2 - Adjusts impact of zone width on probability calculations ● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment ● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance ● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring ● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions ● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations ● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment ✅Best Use Cases ● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores ● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels ● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior ● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment ● Confluence Trading - Combine with other technical indicators for high-probability trade setups ● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness ⚠️Limitations ● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions ● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators ● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes ● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes ● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments 💡What Makes This Unique ● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection ● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction ● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization ● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation ● Performance Optimization - Efficient processing algorithms designed for real-time trading applications 🔬How It Works ● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection ● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes ● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns ● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation ● Recency decay applications - Weights recent pivots more heavily than historical data for relevance ● Statistical filtering - Eliminates low-significance price levels and reduces market noise ● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds ● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union ● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance ● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis ● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering ● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy 💡Note This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions.
Indicador Pine Script®
por PhenLabs
3
RMA EMA Crossover | MisinkoMasterThe RMA EMA Crossover (REMAC) is a trend-following overlay indicator designed to detect shifts in market momentum using the interaction between a smoothed RMA (Relative Moving Average) and its EMA (Exponential Moving Average) counterpart. This combination provides fast, adaptive signals while reducing noise, making it suitable for a wide range of markets and timeframes. 🔎 Methodology RMA Calculation The Relative Moving Average (RMA) is calculated over the user-defined length. RMA is a type of smoothed moving average that reacts more gradually than a standard EMA, providing a stable baseline. EMA of RMA An Exponential Moving Average (EMA) is then applied to the RMA, creating a dual-layer moving average system. This combination amplifies trend signals while reducing false crossovers. Trend Detection (Crossover Logic) Bullish Signal (Trend Up) → When RMA crosses above EMA. Bearish Signal (Trend Down) → When EMA crosses above RMA. This simple crossover system identifies the direction of momentum shifts efficiently. 📈 Visualization RMA and EMA are plotted directly on the chart. Colors adapt dynamically to the current trend: Cyan / Green hues → RMA above EMA (bullish momentum). Magenta / Red hues → EMA above RMA (bearish momentum). Filled areas between the two lines highlight zones of trend alignment or divergence, making it easier to spot reversals at a glance. ⚡ Features Adjustable length parameter for RMA and EMA. Overlay format allows for direct integration with price charts. Visual trend scoring via color and fill for rapid assessment. Works well across all asset classes: crypto, forex, stocks, indices. ✅ Use Cases Trend Following → Stay on the right side of the market by following momentum shifts. Reversal Detection → Crossovers highlight early trend changes. Filter for Trading Systems → Use as a confirmation overlay for other indicators or strategies. Visual Market Insight → Filled zones provide immediate context for trend strength.
Indicador Pine Script®
por MisinkoMaster