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☸Gap Detector [NHP]🔶This is a Pine Script code for a “Gap Detector” study in TradingView. The script scans for gaps in the price chart and labels them as either ‘🟢Bull gap’ or ‘🔴Bear gap’. Here’s a brief explanation of the code: 🔶Length and Width are user inputs that define the number of bars to look back and the width of the lines drawn, respectively. ➡️Gap_start and gap_end are variables that store the start and end of a gap. ➡️Gap_bull and gap_bear are boolean variables that indicate whether a bull or bear gap has been detected. 🔶Inf_gap and sup_gap are variables that store the lower and upper bounds of a gap. The script then iterates over the specified length of bars. If a gap is detected (a high price that is lower than the previous bar’s low price for a bull gap, or a low price that is higher than the previous bar’s high price for a bear gap), it calculates the size of the gap and draws lines and labels on the chart if the gap is larger than 5 pips. ( pips meaning percentage in point) 🔶All content provided is for informational & educational purposes only. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh SniperEMBA
RSI Divergence Screener [Pineify]RSI Divergence Screener Key Features Multi-symbol and multi-timeframe support for advanced market screening. Real-time detection and visualization of bullish and bearish RSI divergences. Seamless integration with core technical indicators and custom divergences. Highly customizable parameters for precise adaptation to personal trading strategies. Comprehensive screener table for swift asset comparison and analysis. How It Works The RSI Divergence Screener leverages the power of Relative Strength Index (RSI) to systematically track momentum shifts across cryptocurrencies and their respective timeframes. By monitoring both fast and slow RSI calculations, the screener isolates divergence signals—key reversal points that often precede major price moves. The indicator calculates two RSI values for each selected asset: one with a short lookback (Fast RSI) and another with a longer period (Slow RSI). It runs a comparative algorithm to find divergences—whenever Fast RSI deviates significantly from Slow RSI, it flags the signal as bullish or bearish. All detected divergences are dynamically presented in a table view, allowing traders to scan symbols and timeframes for optimal trading setups. Trading Ideas and Insights Spot early momentum reversals and preempt major price swings via divergence signals. Combine multiple symbols and timeframes for cross-market trending opportunities. Identify high-probability scalping and swing trading setups informed by RSI divergence logic. Quickly compare crypto asset strength and trend exhaustion across short and long-term horizons. How Multiple Indicators Work Together This screener’s edge lies in its synergistic use of multi-setting RSI calculations and customizable input groups. The dual-RSI approach (Fast vs. Slow) isolates subtle trend shifts missed by traditional single-period RSI. Safe and reliable divergences arise only when the mathematical difference between Fast RSI and Slow RSI meets predefined thresholds, minimizing false positives. Divergences are contextualized using tailored color codes and backgrounds, rendering insights immediately actionable. You can expand analysis with additional moving average filters or overlays for further confirmation. Unique Aspects First-of-its-kind screener dedicated solely to RSI divergence, designed especially for crypto volatility. Efficient screening of up to eight assets and multiple timeframes in one compact dashboard. Intuitive iconography, color logic, and table layouts optimized for rapid decision-making. Advanced input group design for fine-tuning indicator settings per symbol, timeframe, and source. How to Use Select up to eight cryptocurrency symbols to screen for divergence signals. Assign individual timeframes and source prices for each asset to customize analysis. Set Fast RSI and Slow RSI lengths according to your preferred strategy (e.g., scalping, swing, or trend following). Review the screener table: colored cells highlight actionable bullish (green) and bearish (red) divergences. Confirm trade setups with additional indicators or price action for robust risk management. Customization Symbols: Choose any crypto pair or ticker for dynamic divergence tracking. Timeframes: Scan across 1m, 5m, 10m, 30m, and more for full market coverage. RSI lengths: Configure Fast and Slow RSI periods based on volatility and trading style. Visuals: Tailor table colors, fonts, and alert backgrounds per your preference. Conclusion The RSI Divergence Screener is a versatile, original TradingView indicator that empowers traders to scan, compare, and act on divergence signals with speed and precision. Its multi-symbol design, robust logic, and extensive customization options set a new standard for market screening tools. Integrate it into your crypto trading process to capture actionable opportunities ahead of the crowd and optimize your technical analysis workflow.
Penunjuk Pine Script®
oleh Pineify
Volume Rate of Change (VROC)# Volume Rate of Change (VROC) **What it is:** VROC measures the rate of change in trading volume over a specified period, typically expressed as a percentage. Formula: `((Current Volume - Volume n periods ago) / Volume n periods ago) × 100` ## **Obvious Uses** **1. Confirming Price Trends** - Rising VROC with rising prices = strong bullish trend - Rising VROC with falling prices = strong bearish trend - Validates that price movements have conviction behind them **2. Spotting Divergences** - Price makes new highs but VROC doesn't = weakening momentum - Price makes new lows but VROC doesn't = potential reversal **3. Identifying Breakouts** - Sudden VROC spikes often accompany legitimate breakouts from consolidation patterns - Helps distinguish real breakouts from false ones **4. Overbought/Oversold Conditions** - Extreme VROC readings (very high or very low) suggest exhaustion - Mean reversion opportunities when volume extremes occur --- ## **Non-Obvious Uses** **1. Smart Money vs. Dumb Money Detection** - Declining VROC during price rallies may indicate retail FOMO while institutions distribute - Rising VROC during selloffs with price stability suggests institutional accumulation **2. News Impact Measurement** - Compare VROC before/after earnings or announcements - Low VROC on "significant" news = market doesn't care (fade the move) - High VROC = genuine market reaction (respect the move) **3. Market Regime Changes** - Persistent shifts in average VROC levels can signal transitions between bull/bear markets - Declining baseline VROC over months = waning market participation/topping process **4. Intraday Liquidity Profiling** - VROC patterns across trading sessions identify best execution times - Avoid trading when VROC is abnormally low (wider spreads, poor fills) **5. Sector Rotation Analysis** - Compare VROC across sector ETFs to identify where capital is flowing - Rising VROC in defensive sectors + falling VROC in cyclicals = risk-off rotation **6. Options Expiration Effects** - VROC typically drops significantly post-options expiration - Helps avoid false signals from mechanically-driven volume changes **7. Algorithmic Activity Detection** - Unusual VROC patterns (regular spikes at specific times) may indicate algo programs - Can front-run or avoid periods of heavy algorithmic interference **8. Liquidity Crisis Early Warning** - Sharp, sustained VROC decline across multiple assets = liquidity withdrawal - Can precede market stress events before price volatility emerges **9. Cryptocurrency Wash Trading Detection** - Comparing VROC across exchanges for same asset - Discrepancies suggest artificial volume on certain platforms **10. Pair Trading Optimization** - Use relative VROC between correlated pairs - Enter when VROC divergence is extreme, exit when it normalizes The key to advanced VROC usage is context: combining it with price action, market structure, and other indicators rather than using it in isolation.
Penunjuk Pine Script®
oleh needfulCheetah31773
Combined OP Lines and Daily High/Low This Pine Script v6 indicator for TradingView ("Combined OP Lines and Daily High/Low") overlays the chart and visualizes in UTC+02:00 (manually adjust for DST): OP Lines: At 0:00 (new day) and 6:00 AM, draws black horizontal lines at the opening price (extend right), vertical black markers, and labels ("OP 0:00"/"OP 6:00"). Old elements are deleted. Previous Day High/Low: Blue thick horizontal lines (extend right) with labels ("Daily High/Low: "), based on request.security (daily TF, high/low ). Useful for day trading: Marks intraday sessions and prior-day extremes as support/resistance. Purely visual, dynamically updated, efficient (resource management). Limitations: Fixed timezone, no alerts, colors could be optimized.
Penunjuk Pine Script®
oleh MoeSkillZ
Anchored VWAP Polyline [CHE] Anchored VWAP Polyline — Anchored VWAP drawn as a polyline from a user-defined bar count with last-bar updates and optional labels Summary This indicator renders an anchored Volume-Weighted Average Price as a continuous polyline starting from a user-selected anchor point a specified number of bars back. It accumulates price multiplied by volume only from the anchor forward and resets cleanly when the anchor moves. Drawing is object-based (polyline and labels) and updated on the most recent bar only, which reduces flicker and avoids excessive redraws. Optional labels mark the anchor and, conditionally, a delta label when the current close is below the historical close at the anchor offset. Motivation: Why this design? Anchored VWAP is often used to track fair value after a specific event such as a swing, breakout, or session start. Traditional plot-based lines can repaint during live updates or incur overhead when frequently redrawn. This implementation focuses on explicit state management, last-bar rendering, and object recycling so the line stays stable while remaining responsive when the anchor changes. The design emphasizes deterministic updates and simple session gating from the anchor. What’s different vs. standard approaches? Baseline: Classic VWAP lines plotted from session open or full history. Architecture differences: Anchor defined by a fixed bar offset rather than session or day boundaries. Object-centric drawing via `polyline` with an array of `chart.point` objects. Last-bar update pattern with deletion and replacement of the polyline to apply all points cleanly. Conditional labels: an anchor marker and an optional delta label only when the current close is below the historical close at the offset. Practical effect: You get a visually continuous anchored VWAP that resets when the anchor shifts and remains clean on chart refreshes. The labels act as lightweight diagnostics without clutter. How it works (technical) The anchor index is computed as the latest bar index minus the user-defined bar count. A session flag turns true from the anchor forward; prior bars are excluded. Two persistent accumulators track the running sum of price multiplied by volume and the running sum of volume; they reset when the session flag turns from false to true. The anchored VWAP is the running sum divided by the running volume whenever both are valid and the volume is not zero. Points are appended to an array only when the anchored VWAP is valid. On the most recent bar, any existing polyline is deleted and replaced with a new one built from the point array. Labels are refreshed on the most recent bar: A yellow warning label appears when there are not enough bars to compute the reference values. The anchor label marks the anchor bar. The delta label appears only when the current close is below the close at the anchor offset; otherwise it is suppressed. No higher-timeframe requests are used; repaint is limited to normal live-bar behavior. Parameter Guide Bars back — Sets the anchor offset in bars; default two hundred thirty-three; minimum one. Larger values extend the anchored period and increase stability but respond more slowly to regime changes. Labels — Toggles all labels; default enabled. Disable to keep the chart clean when using multiple instances. Reading & Interpretation The polyline represents the anchored VWAP from the chosen anchor to the current bar. Price above the line suggests strength relative to the anchored baseline; price below suggests weakness. The anchor label shows where the accumulation starts. The delta label appears only when today’s close is below the historical close at the offset; it provides a quick context for negative drift relative to that reference. A yellow message at the current bar indicates the chart does not have enough history to compute the reference comparison yet. Practical Workflows & Combinations Trend following: Anchor after a breakout bar or a swing confirmation. Use the anchored VWAP as dynamic support or resistance; look for clean retests and holds for continuation. Mean reversion: Anchor at a local extreme and watch for approaches back toward the line; require structure confirmation to avoid early entries. Session or event studies: Re-set the anchor around earnings, macro releases, or session opens by adjusting the bar offset. Combinations: Pair with structure tools such as swing highs and lows, or with volatility measures to filter chop. The labels can be disabled when combining multiple instances to maintain chart clarity. Behavior, Constraints & Performance Repaint and confirmation: The line is updated on the most recent bar only; historical values do not rely on future bars. Normal live-bar movement applies until the bar closes. No higher timeframe: There is no `security` call; repaint paths related to higher-timeframe lookahead do not apply here. Resources: Uses one polyline object that is rebuilt on the most recent bar, plus two labels when conditions are met. `max_bars_back` is two thousand. Arrays store points from the anchor forward; extremely long anchors or very long charts increase memory usage. Known limits: With very thin volume, the VWAP can be unavailable for some bars. Very large anchors reduce responsiveness. Labels use ATR for vertical placement; extreme gaps can place them close to extremes. Sensible Defaults & Quick Tuning Starting point: Bars back two hundred thirty-three with Labels enabled works well on many assets and timeframes. Too noisy around the line: Increase Bars back to extend the accumulation window. Too sluggish after regime changes: Decrease Bars back to focus on a shorter anchored period. Chart clutter with multiple instances: Disable Labels while keeping the polyline visible. What this indicator is—and isn’t This is a visualization of an anchored VWAP with optional diagnostics. It is not a full trading system and does not include entries, exits, or position management. Use it alongside clear market structure, risk controls, and a plan for trade management. It does not predict future prices. Inputs with defaults Bars back: two hundred thirty-three bars, minimum one. Labels: enabled or disabled toggle, default enabled. Pine version: v6 Overlay: true Primary outputs: one polyline, optional labels (anchor, conditional delta, and a warning when insufficient bars). Metrics and functions: volume, ATR for label offset, object drawing via polyline and chart points, last-bar update pattern. Special techniques: session gating from the anchor, persistent state, object recycling, explicit guards against unavailable values and zero volume. Compatibility and assets: Designed for standard candlestick or bar charts across liquid assets and common timeframes. Diagnostics: Yellow warning label when history is insufficient. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Penunjuk Pine Script®
oleh chervolino
SFC Bollinger Band and Bandit StrategySFC Bollinger Band and Bandit Strategy 概述 (Overview) SFC 布林通道與海盜策略 (SFC Bollinger Band and Bandit Strategy) 是一個基於 Pine Script™ v6 的技術分析指標，結合布林通道 (Bollinger Bands)、移動平均線 (Moving Averages) 以及布林海盜 (Bollinger Bandit) 交易策略，旨在為交易者提供多時間框架的趨勢分析與進出場訊號。該腳本支援風險管理功能，並提供視覺化圖表與交易訊號提示，適用於多種金融市場。 This script, written in Pine Script™ v6, combines Bollinger Bands, Moving Averages, and the Bollinger Bandit strategy to provide traders with multi-timeframe trend analysis and entry/exit signals. It includes risk management features and visualizes data through charts and trading signals, suitable for various financial markets.
Penunjuk Pine Script®
oleh lincheng_SFC
Fury by Tetrad Fury by Tetrad What it is: A rules-based Bollinger+RSI strategy that fades extremes: it looks for price stretching beyond Bollinger Bands while RSI confirms exhaustion, enters countertrend, then exits at predefined profit multipliers or optional stoploss. “Ultra Glow” visuals are purely cosmetic. How it works — logic at a glance Framework: Classic Bollinger Bands (SMA basis; configurable length & multiplier) + RSI (configurable length). Long entries: Price closes below the lower band and RSI < Long RSI threshold (default 28.3) → open LONG (subject to your “Market Direction” setting). Short entries: Price closes above the upper band and RSI > Short RSI threshold (default 88.4) → open SHORT. Profit exits (price targets): Uses simple multipliers of the strategy’s average entry price: Long exit = `entry × Long Exit Multiplier` (default 1.14). Short exit = `entry × Short Exit Multiplier` (default 0.915). Risk controls: Optional pricebased stoploss (disabled by default) via: Long stop = `entry × Long Stop Factor` (default 0.73). Short stop = `entry × Short Stop Factor` (default 1.05). Directional filter: “Market Direction” input lets you constrain entries to Market Neutral, Long Only, or Short Only. Visuals: “Ultra Glow” draws thin layered bands around upper/basis/lower; these do not affect signals. > Note: Inputs exist for a timebased stop tracker in code, but this version exits via targets and (optional) price stop only. Why it’s different / original Explicit extreme + momentum pairing: Entries require simultaneous band breach and RSI exhaustion, aiming to avoid entries on gardenvariety volatility pokes. Deterministic exits: Multiplier-based targets keep results auditable and reproducible across datasets and assets. Minimal, unobtrusive visuals: Thin, layered glow preserves chart readability while communicating regime around the Bollinger structure. Inputs you can tune Bollinger: Length (default 205), Multiplier (default 2.2). RSI: Length (default 23), Long/Short thresholds (28.3 / 88.4). Targets: Long Exit Mult (1.14), Short Exit Mult (0.915). Stops (optional): Enable/disable; Long/Short Stop Factors (0.73 / 1.05). Market Direction: Market Neutral / Long Only / Short Only. Visuals: Ultra Glow on/off, light bar tint, trade labels on/off. How to use it 1. Timeframe & assets: Works on any symbol/timeframe; start with liquid majors and 60m–1D to establish baseline behavior, then adapt. 2. Calibrate thresholds: Narrow/meanreverting markets often tolerate tighter RSI thresholds. Fast/volatile markets may need wider RSI thresholds and stronger stop factors. 3. Pick realistic targets: The default multipliers are illustrative; tune them to reflect typical mean reversion distance for your instrument/timeframe (e.g., ATRinformed profiling). 4. Risk: If enabling stops, size positions so risk per trade ≤ 1–2% of equity (max 5–10% is a commonly cited upper bound). 5. Mode: Use Long Only or Short Only when your discretionary bias or higher timeframe model favors one side; otherwise Market Neutral. Recommended publication properties (for backtests that don’t mislead) When you publish, set your strategy’s Properties to realistic values and keep them consistent with this description: Initial capital: 10,000 (typical retail baseline). Commission: ≥ 0.05% (adjust for your venue). Slippage: ≥ 2–3 ticks (or a conservative pertrade value). Position sizing: Avoid risking > 5–10% equity per trade; fixedfractional sizing ≤ 10% or fixedcash sizing is recommended. Dataset / sample size: Prefer symbols/timeframes yielding 100+ trades over the tested period for statistical relevance. If you deviate, say why. > If you choose different defaults (e.g., capital, commission, slippage, sizing), explain and justify them here, and use the same settings in your publication. Interpreting results & limitations This is a countertrend approach; it can struggle in strong trends where band breaches compound. Parameter sensitivity is real: thresholds and multipliers materially change trade frequency and expectancy. No predictive claims: Past performance is not indicative of future results. The future is unknowable; treat outputs as decision support, not guarantees. Suggested validation workflow Try different assets. (TSLA, AAPL, BTC, SOL, XRP) Run a walkforward across multiple years and market regimes. Test several timeframes and multiple instruments. (30m Suggested) Compare different commission/slippage assumptions. Inspect distribution of returns, max drawdown, win/loss expectancy, and exposure. Confirm behavior during trend vs. range segments. Alerts & automation This release focuses on chart execution and visualization. If you plan to automate, create alerts at your entry/exit conditions and ensure your broker/venue fills reflect your slippage/fees assumptions. Disclaimer This script is provided for educational and research purposes. It is not investment advice. Trading involves risk, including the possible loss of principal. © Tetrad Protocol.
Strategi Pine Script®
oleh TetradProtocol
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands. Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping. You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees. It additionally helps taking trading decisions or not with very small trades (Scalping). You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff. Fee Overview in the current market for the indicator input field: BingX with 10% fee reduction code = 0,045 % BingX: Normal = 0,050 % Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 % Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 % Have fun Trading, Happy Profits! Greetings ToniTrading
Penunjuk Pine Script®
oleh ToniTradingCrypto
Fish OrbThis indicator marks and tracks the first 15-minute range of the New York session open (default 9:30–9:45 AM ET) — a critical volatility period for futures like NQ (Nasdaq). It helps you visually anchor intraday price action to that initial opening range. Core Functionality 1. Opening Range Calculation It measures the High, Low, and Midpoint of the first 15 minutes after the NY market opens (default 09:30–09:45 ET). You can change the window or timezone in the inputs. 2. Visual Overlays During the 15-minute window: A teal shaded box highlights the open range period. Live white lines mark the current High and Low. A red line marks the midpoint (mid-range). These update in real-time as each bar forms. 3. Post-Window Behavior When the 15-minute window ends: The High, Low, and Midpoint are locked in. The indicator draws persistent horizontal lines for those values. 4. Historical Days You can keep today + a set number of previous days (configurable via “Previous Days to Keep”). Older days automatically delete to keep charts clean. 5. Line Extension Control Each day’s lines extend to the right after they form. You can toggle “Stop Lines at Next NY Open”: ON: Yesterday’s lines stop exactly at the next NY session open (09:30 ET). OFF: Lines extend indefinitely across the chart.
Penunjuk Pine Script®
oleh Fishhhhh_
[Fune]-Trend Technology🌊 - Trend Technology “Flow with the trend — read every wave.” 🎯 Concept Micro EMA (White) – Short-term pulse Mid EMA (Aqua) – Medium-term direction Macro EMA (Orange) – Long-term flow Mid- to long-term references: 100 EMA = Yellow (trend balance) 300 EMA = Blue (structural anchor) In addition, the PLR (Periodic Linear Regression) reveals the cyclical rhythm of the market trend — a recurring regression curve that reflects the underlying heartbeat of price movement. 📊 Trend Logic Summary Condition Color Meaning Action Mid > Macro 🟢 Green background Bullish trend Look for long opportunities Mid < Macro 🔴 Red background Bearish trend Look for short opportunities PLR slope > 0 📈 Upward bias Confirms bullish momentum PLR slope < 0 📉 Downward bias Confirms bearish momentum Micro EMA (White) dominant ⚪ White background Neutral / Resting phase Stand aside and wait 🧭 Trading Guidance 🟢 Long Setup: Green background + PLR slope upward + price above 100/300 EMA 🔴 Short Setup: Red background + PLR slope downward + price below 100/300 EMA ⚪ No Trade: White background, EMAs converging, or PLR slope flattening ⚓ Philosophy of “ (The Boat) is a vessel sailing across the ocean of the market. The EMAs are its sails, the PLR its compass. The trader holds the helm, while the divine wind guides the waves. Only those who move with the current — not against it — will one day reach the state of ‘mindless clarity.’”
Penunjuk Pine Script®
oleh FUNE11120188040922
Trend Flow Trend Flow — by Volume Hub A clean momentum-based trend map built around EMA 21, EMA 50, and EMA 200. TrendFlow helps you instantly see whether price is flowing with the trend or fighting against it. When price trades above the short-term EMAs, momentum is bullish — when it falls below, the flow reverses. 🟢 How to use Buy bias: when price is above EMA 21 & EMA 50 and both are aligned above the EMA 200. The green zone between 21 & 50 acts as a dynamic support channel — ideal for pullback entries. Sell bias: when price is below EMA 21 & EMA 50 and both are under the EMA 200. The red zone highlights a resistance channel — look for rejection or continuation setups. Neutral zone: when EMAs are tangled or flat — stay patient until structure expands again. ⚙️ Features Soft, low-opacity EMA 21 & 50 for clear channel view Dynamic EMA 200 color shift (green = bullish / red = bearish / gray = neutral) Automatic color fill between EMA 21 & 50 for instant trend-strength feedback 🎯 Purpose Designed for traders who prefer clean price structure and disciplined trend confirmation. Use TrendFlow as your core directional filter — pair it with your own entry logic, liquidity zones, or volume confirmations. 📈 Created by: Volume Hub
Penunjuk Pine Script®
oleh FXGOD22
ETH OHLC by tncylyvETH OHLC Projection Levels 📜 Indicator Description This indicator projects key potential price levels for Ethereum (ETH) based on its historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action. These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period. ________________________________________ 🧠 Core Concepts Explained The indicator is built on two key concepts derived from candlestick analysis: • Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction. o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low). o For a bearish candle, it's the extent of the upper wick (the move from Open up to High). o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts. • Distribution: This represents the primary price movement in the direction of the candle's trend. o For a bullish candle, it's the total move from Open to High. o For a bearish candle, it's the total move from Open to Low. o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period. ________________________________________ 📊 Data & Methodology It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself. These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical ETH/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency. ________________________________________ ⚙️ How to Use It At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price. • The central dotted line represents the Opening Price for the selected timeframe. • Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session. • Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period. • Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis. ________________________________________ 🛠️ Settings and Features • Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe. • Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period. • Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency. • Visual Customization: You have full control over the appearance of the indicator. o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs. o Enable or disable the shaded fills between the mean and median levels. o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
Penunjuk Pine Script®
oleh tncylyv
BTC OHLC by tncylyvBTC OHLC Projection Levels 📜 Indicator Description This indicator projects key potential price levels for Bitcoin (BTC) based on historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action. These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period. ________________________________________ 🧠 Core Concepts Explained The indicator is built on two key concepts derived from candlestick analysis: • Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction. o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low). o For a bearish candle, it's the extent of the upper wick (the move from Open up to High). o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts. • Distribution: This represents the primary price movement in the direction of the candle's trend. o For a bullish candle, it's the total move from Open to High. o For a bearish candle, it's the total move from Open to Low. o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period. ________________________________________ 📊 Data & Methodology It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself. These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical BTC/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency. ________________________________________ ⚙️ How to Use It At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price. • The central dotted line represents the Opening Price for the selected timeframe. • Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session. • Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period. • Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis. ________________________________________ 🛠️ Settings and Features • Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe. • Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period. • Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency. • Visual Customization: You have full control over the appearance of the indicator. o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs. o Enable or disable the shaded fills between the mean and median levels. o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
Penunjuk Pine Script®
oleh tncylyv
Combined ML Oscillators with Master Z-Score → PROFABIGHI_CAPITAL🌟 Overview The Combined ML Oscillators with Master Z-Score → PROFABIGHI_CAPITAL indicator fuses eight machine learning-enhanced oscillators into a dynamic Z-score framework, delivering a unified momentum gauge that adapts to market regimes through weighted averaging and predictive filtering. It empowers traders to detect overbought/oversold extremes and trend shifts via multi-algorithm consensus, with customizable signal modes for aggressive, conservative, or balanced approaches. 🎯 Master Controls – Oscillator Visibility Toggles : Individually enable/disable each ML oscillator for focused analysis or full ensemble view. – Master Z-Score Average : Central line blending active oscillators for holistic signal synthesis. – Inclusion in Average : Select which components contribute to the master calculation for tailored weighting. 🧠 ML Oscillator Settings – Lorentzian Classification : Adjust feature count, neighbors, and bars back for pattern-based predictions using RSI, WT, CCI, or ADX inputs. – Machine Learning Momentum Index : Set neighbor count and trend length to balance local sensitivity and stability in momentum forecasting. – Machine Learning RSI : Configure base length, smoothing type, and clustering steps for threshold-adapted relative strength. – AI Adaptive Oscillator : Tune base length, adaptation speed, and ensemble size for volatility-responsive signal generation. – ML Momentum Oscillator : Define short/long periods and smoothing for KNN-driven velocity assessment. – Hybrid EMA AlgoLearner : Set short/long EMA spans and KNN neighbors for trend-interpolated exponential smoothing. – Enhanced CNN Statistical Trading System : Adjust smoothing and signal thresholds for convolutional pattern recognition. – Enhanced ML Cosine Similarity : Customize history lookback, distance method, and trend filters for similarity-based divergence detection. ⚖️ Weighting System – Weighting Mode : Choose equal Z-score blending, correlation-driven, beta-adjusted, or IC-style for Renaissance-inspired optimization. – IC Weighting Enable : Activate information coefficient calculation over a lookback period for performance-based influences. 🔍 Filters & Risk Management – Volatility/Regime/ADX Filters : Toggle and threshold trend/strength checks to suppress signals in choppy conditions. – EMA/SMA Trend Filters : Enable moving average crossovers for directional confirmation. – Kernel Regression : Set window, weighting, and lag for envelope-based smoothing and crossover alerts. 🎨 Visual Settings – Color Scheme : Select palettes from Renaissance-inspired to monochrome for line and zone aesthetics. – Visual Mode : Opt for enhanced details, professional clean lines, or minimal basics. – Information Tables : Display master Z-scores, predictions, or status overviews for real-time monitoring. – Bar Colors & Predictions : Color candles by signals and offset labels for clarity. 📈 Calculations – Feature Engineering : Normalize RSI, WT, CCI, and ADX into Z-scores for Lorentzian distance-based classification. – MLMI Momentum : KNN predicts directional bias from quick/slow RSI and EMAs, weighted by neighbor proximity. – ML RSI Clustering : Dynamically thresholds via K-means on historical values for adaptive overbought/oversold. – AI Adaptive Ensemble : Scores RSI, CCI, Stochastic, MACD, and volume components by accuracy, blending via volatility-adjusted weights. – ML Momentum Oscillator : KNN on raw momentum data with band scaling for velocity forecasting. – Hybrid EMA Learner : Interpolates short/long EMAs via KNN for trend-aware smoothing. – CNN Pattern Recognition : Convolves normalized prices with kernels, activating momentum/reversal/breakout features. – Cosine Similarity : Compares multi-feature vectors to history using Lorentzian/Euclidean/cosine distances for divergence. – Master Z-Score Averaging : Combines active oscillator Z-scores with mode-specific weighting for consensus momentum. 📡 Signal Generation – Smart Mode : Flags above positive thresholds for longs, below negative for shorts, with Z-score extremes for conviction. – Aggressive Mode : Frequent crosses of tight thresholds for rapid entries in volatile swings. – Conservative Mode : Requires deep deviations beyond wide bands for high-confidence, low-frequency signals. – Kernel Crossovers : Bullish on envelope breaks upward, bearish downward, with smoothing for reduced whipsaws. – Filter Confluence : Validates signals via volatility caps, regime trends, ADX strength, and MA alignments. – Dynamic Exits : Optional bar-count or kernel-reversal closures to lock profits. 📉 Visualization – Oscillator Lines : Individual traces in scheme-tinted hues, thickening for master average emphasis. – Z-Score Zones : Gradient fills from neutral to extreme bull/bear for deviation intensity. – Reference Bands : Dashed overbought/oversold, dotted neutrals, solid zero/midline for thresholds. – Bar Tinting : Candle colors by master signal for immersive chart feedback. – Info Tables : Right-side master Z-scores, left predictions, bottom status for layered insights. 🔔 Alerts – Master Z-Score Crosses : Notifies on threshold breaches in all modes for entry cues. – Oscillator-Specific : Flags individual signals like MLMI overbought or CNN longs for component focus. – Confluence Warnings : Triggers on Z-score extremes paired with oscillator predictions. – Kernel Changes : Alerts on bullish/bearish envelope crosses for trend shifts. ✅ Key Takeaways – Eight ML oscillators converge into a master Z-score for noise-proof momentum consensus. – Weighting modes from equal to IC-style adapt blends to market correlations and betas. – Signal modes balance speed with reliability via dynamic thresholds and filters. – Tables and gradients turn complex ML outputs into trader-friendly visuals.
Penunjuk Pine Script®
oleh PROFABIGHI_CAPITAL