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High Timeframe 3D══════════════════════════════════ 🔷 High Timeframe 3D 🔷 ══════════════════════════════════ High Timeframe 3D is a visual overlay indicator that renders higher timeframe candles in a 3D projection style directly on your chart. This tool enhances multi-timeframe analysis by displaying selected higher timeframe (HTF) candles as forward-projected 3D objects, allowing traders to visually compare current price action with broader market structure. ━━━━━━━━━━━ 🔹 CORE FEATURES 🔹 ━━━━━━━━━━━ ▪ 🧊 3D projected higher timeframe candles ▪ 🎨 Multiple customizable color schemes ▪ ⚙ Adjustable depth and projection parameters ▪ 🧱 Configurable border styling ▪ ⏳ Optional countdown timer for selected timeframe ▪ 📊 Compact info panel with live progress bar ━━━━━━━━━━━ 🕒 MULTI-TIMEFRAME VISUALIZATION 🕒 ━━━━━━━━━━━ Available timeframe selection: ▪ 5m ▪ 15m ▪ 30m ▪ 1H ▪ 4H ▪ 1D The script retrieves higher timeframe OHLC data and renders up to nine recent candles using a 3D box-style projection with depth offset on both X (bars) and Y (price percentage). This allows traders to interpret higher timeframe structure while staying on a lower timeframe chart. ━━━━━━━━━━━ 🎨 CUSTOMIZATION OPTIONS 🎨 ━━━━━━━━━━━ Available color schemes: ▪ Green / Red Classic ▪ Blue / Orange ▪ Purple / Yellow ▪ Cyan / Magenta ▪ Mint / Coral ▪ Gold / Navy ▪ Emerald / Ruby ▪ Ocean / Sunset Adjustable settings include: ▪ Depth X offset (horizontal projection) ▪ Depth Y percentage (vertical projection) ▪ Side darkness (3D shading intensity) ▪ Border color and width ▪ Toggle visibility of 3D candles ▪ Info panel position ━━━━━━━━━━━ ⏳ COUNTDOWN & PROGRESS PANEL ⏳ ━━━━━━━━━━━ The optional information panel displays: ▪ Selected timeframe ▪ Remaining time until candle close ▪ Live progress percentage ▪ Visual progress bar This feature helps users monitor higher timeframe candle development in real time. ━━━━━━━━━━━ ⚠ IMPORTANT NOTICE ⚠ ━━━━━━━━━━━ This indicator is provided for visual and analytical purposes only. It does not provide financial advice and does not guarantee trading performance or outcomes. All calculations are based on available chart data and selected timeframe inputs. Users should apply independent analysis and proper risk management when making trading decisions. ══════════════════════════════════
Penunjuk Pine Script®
oleh mooniexofficials
BTC Cycle Composite IndicatorBTC Cycle Composite Indicator: A Multi-Factor Approach to Identifying Market Tops and Bottoms Introduction The Bitcoin market is characterized by distinct four-year cycles driven by halving events, yet accurately pinpointing cycle tops and bottoms remains a challenge even for experienced traders. Single indicators often generate false signals or lag significantly. The BTC Cycle Composite Indicator addresses this by integrating multiple proven on-chain metrics, technical analysis tools, and cycle-based models into a single coherent framework. Its goal is to provide traders with a probabilistic risk score that highlights periods of extreme overvaluation (potential tops) and undervaluation (potential bottoms), while filtering out noise through advanced confirmation mechanisms. Core Design Philosophy The indicator is built on a multi-factor voting system. Instead of relying on any single metric, it aggregates signals from a diverse set of independent indicators that capture different aspects of market behavior: On-chain valuation (MVRV Z-Score, Puell Multiple, CVDD, NUPL) reflects the positioning of long-term holders and miners. Technical momentum (Pi Cycle Oscillator, RSI, price deviation from moving averages) identifies price extremes. Cycle timing (halving progress, post-halving windows) anchors the analysis within the historical rhythm of Bitcoin. Market structure (Power Law channel, V/T Ratio, 15% rule) adds context about the broader macro trend. Each indicator contributes to a risk score (0–100), and only when a sufficient number of them align—and additional filters (trend, volatility, signal spacing) are satisfied—does the indicator generate a clear visual signal. Detailed Component Breakdown 1. On-Chain Metrics (Simulated for Demonstration) MVRV Z-Score: Compares market value to realized value, normalized by standard deviation. Historically, values above 7 have marked major tops, while values near 0.1 have indicated bottoms. The indicator can also use a dynamic 6‑month rolling Z‑score to adapt to changing market structure. Puell Multiple: Measures miner revenue relative to its 365‑day moving average. Extremely high values (>3.33) suggest miner over‑profitability and potential selling pressure; very low values (<0.5) signal miner capitulation and bottoms. CVDD (Cumulative Value Coin Days Destroyed): A bottom‑capture metric that tracks the dollar value of coin‑days destroyed. When price falls below the CVDD extension line, it historically marked strong accumulation zones. NUPL (Net Unrealized Profit/Loss): Gauges the aggregate profit/loss status of the market. NUPL > 0.75 corresponds to extreme greed (euphoria), while negative values indicate fear. 2. Technical Indicators Pi Cycle Oscillator: Unlike the classic Pi Cycle Top indicator that waits for a 111 SMA / 350 SMA×2 cross, this oscillator measures the percentage distance between the two moving averages. When this value exceeds a user‑defined threshold (e.g., 80%), it serves as an early warning of an overheated market. Price Deviation from 200‑day SMA: A simple yet powerful mean‑reversion tool. Deviations above +50% have historically coincided with tops, while deviations below -20% align with bottoms. RSI (14): Standard overbought/oversold levels (70/30) are used, but they are only considered in conjunction with other factors. V/T Ratio: Compares on‑chain transaction value to token velocity; extreme deviations from its moving average can signal turning points. 3. Cycle and Structural Factors Halving Progress: The indicator calculates the exact position between two consecutive halvings. Four color‑coded phases (green, lime, yellow, red) visually represent the typical market sentiment progression. Top/Bottom Windows: Historical data shows that cycle tops often occur 528–548 days after a halving, while bottoms tend to form within the first 200 days. These windows are used as soft filters. Power Law Channel Position: Based on the long‑term power law regression, prices near the upper band (>80th percentile) are considered overextended, while those near the lower band (<20th percentile) are undervalued. 15% Rule (optional): When price drops more than 15% from its 500‑day high after a series of strong bullish candles, it may indicate distribution by smart money—a supplementary top confirmation. 4. Altcoin Season Signals Bitcoin dominance (BTC.D) is monitored for sharp moves. A decline of more than 2% over 14 days suggests capital rotation into altcoins, while a rise of more than 2% indicates Bitcoin strength. These raw signals are further validated by: Price position relative to 200‑day SMA. RSI entering oversold (for alt‑season) or overbought (for BTC‑season) territory. Volume spikes (above 1.5× the 20‑day average). Candlestick patterns (hammer/bullish engulfing for buys; shooting star/bearish engulfing for sells). How the Components Work Together The indicator does not simply flash a signal when any one metric triggers. Instead, it employs a multi‑stage aggregation and filtering process: Risk Score Calculation Each of the ten top‑oriented and eight bottom‑oriented indicators votes independently. The percentage of active indicators forms the raw risk score (e.g., 7 out of 10 = 70% top risk). Weighted Adjustment (Optional) Because some indicators are more predictive during specific cycle phases, the indicator can apply dynamic weights. For example, Pi Cycle and MVRV receive higher weights in the late halving phase (red zone), while Puell and CVDD are emphasized in the early phase (green zone). Multi‑Stage Filtering Trend Filter: Signals are only considered if they align with the primary trend (price above/below 200‑day SMA). Volatility Filter: Using ATR, signals are discarded during low‑volatility consolidation unless volatility exceeds 1.2× its 20‑day average. Momentum Filter: Requires the short‑term moving average to be sloping in the direction of the signal (e.g., for a top signal, price should be above its 20‑day MA and the MA should be rising). Signal Suppression: After a signal is generated, no further signals of the same type are allowed for a user‑defined number of bars (default 20) to prevent clustering. Confirmation Bars: A signal must persist for a minimum number of consecutive bars (default 2) before being displayed. Visual Output Colored Background: The chart background gradually shifts from green (early accumulation) to red (late distribution) based on halving progress, providing an intuitive sense of cycle phase. Halving Markers: Blue vertical lines and labels mark each halving date. Cycle Top/Bottom Labels: When all filters are satisfied, a red “Cycle Top” label appears above the bar (with the current risk score), and a blue “Cycle Bottom” label appears below. Arrow Signals: Small red downward arrows (⬇️TOP) and green upward arrows (⬆️BOT) are plotted on every qualifying bar for easy spotting. Buy/Sell Signals: For altcoin‑season entries, tiny green “🪙 BUY” triangles at the bottom and orange “₿ SELL” triangles at the top are displayed. Risk Score Panel: A table in the bottom‑right corner shows the current top/bottom risk percentages and the number of triggered indicators, updated in real time. Practical Usage Recommended Settings Timeframe: Daily or weekly charts work best, as the underlying metrics are designed for medium‑ to long‑term cycles. Parameters: Most thresholds (e.g., MVRV levels, Pi Cycle oscillator threshold, minimum risk score) are adjustable. Beginners can keep the defaults; advanced users may fine‑tune based on backtesting. On‑Chain Data Source: The indicator currently uses simulated MVRV, Puell, etc., for demonstration. For live trading, replace these with real data sources such as CRYPTOCAP:BTC.MVRV or subscribe to a reliable on‑chain data provider. Interpretation A top risk score above 60 accompanied by a red background and a “Cycle Top” label suggests that multiple independent metrics are flashing warning signs. This is a signal to consider taking profits or tightening stops. A bottom risk score above 60 in the green zone with a “Cycle Bottom” label indicates a historically favorable accumulation area. The BUY/SELL signals are more tactical and may appear more frequently; they should be used in conjunction with the broader cycle context. Limitations and Disclaimer No indicator is infallible. The BTC Cycle Composite Indicator is a tool for probability assessment, not a crystal ball. Past performance does not guarantee future results. Users should always combine it with fundamental analysis, order book data, and proper risk management. The indicator’s parameters may need periodic adjustment as market dynamics evolve (e.g., the Pi Cycle oscillator threshold may drift over time). Originality and Innovation While the individual indicators are well‑known, their combination and the filtering logic are original: Dynamic weighting based on halving progress adapts the model to different cycle phases. Multi‑timeframe confirmation (optional weekly RSI check) adds an extra layer of robustness. 15% rule provides a unique structural filter for top detection. Signal suppression and momentum filters drastically reduce false positives compared to a simple “majority vote” approach. The risk score panel gives users immediate insight into the internal state of the model, fostering transparency. Conclusion The BTC Cycle Composite Indicator is designed for traders who want a comprehensive, data‑driven view of Bitcoin’s cyclical extremes. By aggregating diverse metrics and applying rigorous filtering, it aims to highlight high‑probability turning points while minimizing noise. Whether you are a long‑term investor seeking accumulation zones or a swing trader looking for trend shifts, this indicator offers a structured way to interpret the complex interplay of on‑chain, technical, and cyclical forces that drive Bitcoin’s market cycles.
Penunjuk Pine Script®
oleh neeson1987
1HR Proximity Level Detection ( Al Brooks Concept)Hourly Auto level. Key Features 1H Sequence Tracking: * Support: Automatically marks the Open of the first green 1H candle in a new sequence. Resistance: Marks the Open of the first red 1H candle following a bullish run. Gap Level Intelligence: Includes a "Gap Rule" that identifies body gaps between hourly candles and marks levels on both sides of the vacuum. Smart Deletion (The Kill Switch): Levels are not permanent. They are automatically removed based on your choice of: Close Through: Level is removed if a candle closes past it. Body Cross: Level is removed if a candle body overlaps the line. Institutional Fallback: If the price enters a "void" (no active levels nearby), the script scans 300+ bars of history to find the most significant un-breached historical level to display. Multi-Timeframe Sync: Using xloc.bar_time, these levels stay locked to the exact 1-hour price regardless of whether you are viewing the 1-minute or 5-minute chart. Fully Configurable: Customize colors, line styles (Solid/Dashed/Dotted), and extension settings (Left/Right/Both) to keep your chart clean. How to Use Preparation: The script identifies levels on the 1H timeframe but is best used for entries on the 5m chart. The Signal: Wait for price to approach the yellow level. Look for an Al Brooks signal bar (Reversal Bar, Engulfing, or High/Low 2 setup). Clean Charts: Because the script deletes levels once they are breached, you only ever see the "Fresh" levels that the market is currently respecting.
Penunjuk Pine Script®
oleh SoulVouge
ICT Time-based Liquidity SessionsThis indicator plots the three primary index futures sessions (Asia, London, New York) using fixed Eastern Time windows to help traders visually track where liquidity is most likely to build and be attacked. The goal is not to mark exchange business hours, but to highlight behavioral time blocks where sweeps, displacement, and HTF inefficiency reactions statistically occur more often. Session Windows (ET): Asia: 18:00 – 03:00 Range construction, slower movement, sets highs/lows often targeted later. London: 03:00 – 12:00 Increased volatility, frequent raids on Asia range, early displacement. New York AM: 09:30 – 12:00 Highest probability window for liquidity sweeps, HTF FVG reactions, and expansion. New York PM: 12:00 – 16:00 Secondary continuation or controlled reversals, generally lower volatility than AM. Purpose Visualize session ranges and transitions. Identify likely sweep zones (Asia High/Low, London High/Low). Align entries with time-of-day confluence instead of price alone. Reduce noise by keeping session boxes clean while mentally noting overlaps (especially London–NY). Use Case Designed for equity index futures (NQ, ES, YM). Best paired with liquidity levels, HTF inefficiencies, and displacement/FVG models to improve timing and context rather than act as a standalone signal.
Penunjuk Pine Script®
oleh joshteal70
ICT Time-based Liquidity SessionsThis indicator plots the three primary index futures sessions (Asia, London, New York) using fixed Eastern Time windows to help traders visually track where liquidity is most likely to build and be attacked. The goal is not to mark exchange business hours, but to highlight behavioral time blocks where sweeps, displacement, and HTF inefficiency reactions statistically occur more often. Session Windows (ET): Asia: 18:00 – 03:00 Range construction, slower movement, sets highs/lows often targeted later. London: 03:00 – 12:00 Increased volatility, frequent raids on Asia range, early displacement. New York AM: 09:30 – 12:00 Highest probability window for liquidity sweeps, HTF FVG reactions, and expansion. New York PM: 12:00 – 16:00 Secondary continuation or controlled reversals, generally lower volatility than AM. Purpose Visualize session ranges and transitions. Identify likely sweep zones (Asia High/Low, London High/Low). Align entries with time-of-day confluence instead of price alone. Reduce noise by keeping session boxes clean while mentally noting overlaps (especially London–NY). Use Case Designed for equity index futures (NQ, ES, YM). Best paired with liquidity levels, HTF inefficiencies, and displacement/FVG models to improve timing and context rather than act as a standalone signal.
Penunjuk Pine Script®
oleh joshteal70
Dow Theory AI v1.0 This indicator integrates **AI-driven Dow Theory trend analysis** with an **EMA-based environmental recognition system**. * **Dow Theory (Main):** Automatically adjusts swing detection based on volatility (ATR), visualizing market structure with HH/LL labels, trend lines, and an AI Trend Score (0-100). * **EMA Background (Add-on):** Visually indicates trend strength by changing background colors based on the price's position relative to three EMAs (Short/Mid/Long). This feature can be **toggled ON/OFF** via the "📉 EMA Background Settings" checkbox.
Penunjuk Pine Script®
oleh chamocona7
ORB StrategyOpening Range Break Strategy. It works, sometimes. Stop loss to break even is not currently working, dont rely on that. To be honest in backtesting, it hurt more than it helped. The ORB strategy has been around for a long time; it has ebbs and flows on when it is working. You'll know that it's currently working because your Youtube feed will be full of videos for it. Native Quantlynk and Ghost integration using {{strategy.order.alert_message}} NOT FINANCIAL ADVICE. NO GUARANTEES OF ANY KIND.
Strategi Pine Script®
oleh greatestNothing
Harmonic Confluence Wave Detector [JOAT]Harmonic Confluence Wave Detector Introduction The Harmonic Confluence Wave Detector is an open-source oscillator-based indicator that combines WaveTrend, Money Flow Index (MFI), RSI, MACD, and Stochastic RSI into a unified momentum analysis system. This mashup creates a multi-layered oscillator framework designed to identify momentum shifts, overbought/oversold conditions, and divergence patterns across multiple timeframes and calculation methods. The indicator addresses a common trading challenge: single oscillators can give conflicting or premature signals. By synthesizing five different momentum calculations that use distinct mathematical approaches, this tool provides confluence-based signals that occur when multiple momentum indicators align, significantly reducing false signals compared to using any single oscillator alone. Chart showing WaveTrend oscillator, MACD histogram, and multi-signal system on 1H timeframe Why This Mashup Exists This indicator combines five oscillators that complement each other through different calculation methodologies: WaveTrend: Smoothed momentum oscillator based on price deviation from exponential moving average Money Flow Index (MFI): Volume-weighted RSI showing buying/selling pressure RSI: Classic momentum oscillator measuring speed and magnitude of price changes MACD: Trend-following momentum indicator showing relationship between two EMAs Stochastic RSI: Stochastic calculation applied to RSI for enhanced sensitivity Each oscillator has unique strengths: WaveTrend excels at identifying wave-like momentum cycles, MFI incorporates volume for institutional flow analysis, RSI provides reliable overbought/oversold readings, MACD shows trend strength and direction, and Stochastic RSI catches early momentum shifts. Together, they create a comprehensive momentum picture that no single oscillator can provide. The mashup is justified because these oscillators use fundamentally different calculations (price-based, volume-weighted, moving average convergence, stochastic) that respond to different market conditions. When they align, it indicates genuine momentum shift rather than noise. Core Components Explained 1. WaveTrend Oscillator (Primary Signal Generator) WaveTrend is the primary oscillator, calculated using this methodology: // Calculate exponential average of HLC3 esa = ta.ema(hlc3, channelLength) // Calculate deviation d = ta.ema(abs(hlc3 - esa), channelLength) // Calculate channel index ci = (hlc3 - esa) / (0.015 * d) // Apply smoothing to create WaveTrend 1 wt1 = ta.ema(ci, averageLength) // Create WaveTrend 2 as simple moving average of WT1 wt2 = ta.sma(wt1, 4) WaveTrend oscillates around zero, with: Values above +60: Overbought zone Values above +80: Extreme overbought Values below -60: Oversold zone Values below -80: Extreme oversold Crossovers between WT1 and WT2: Momentum shift signals The indicator plots WT1 and WT2 as lines with dynamic coloring based on momentum direction and strength. 2. Money Flow Index (MFI) - Volume-Weighted Momentum MFI calculation incorporates both price and volume: // Calculate typical price typicalPrice = (high + low + close) / 3 // Calculate raw money flow rawMoneyFlow = typicalPrice * volume // Separate positive and negative money flow positiveFlow = close > close ? rawMoneyFlow : 0 negativeFlow = close < close ? rawMoneyFlow : 0 // Sum over MFI period positiveSum = sum(positiveFlow, mfiLength) negativeSum = sum(negativeFlow, mfiLength) // Calculate MFI mfi = 100 - (100 / (1 + positiveSum / negativeSum)) MFI ranges from 0-100, with readings above 80 indicating buying pressure and below 20 indicating selling pressure. The indicator plots MFI as a line and uses it for confluence scoring. 3. RSI - Classic Momentum Oscillator Standard RSI calculation over 14 periods (configurable): RSI > 70: Overbought RSI < 30: Oversold RSI > 65 with other bearish signals: Potential reversal RSI < 35 with other bullish signals: Potential reversal RSI provides reliable baseline momentum readings and is used for divergence detection. 4. MACD - Trend Momentum Indicator MACD uses standard 12/26/9 settings: = ta.macd(close, 12, 26, 9) The indicator displays MACD histogram with enhanced width (linewidth 8) for visibility. Histogram color changes based on: Green: Positive and increasing (bullish momentum) Light green: Positive but decreasing (weakening bulls) Red: Negative and decreasing (bearish momentum) Light red: Negative but increasing (weakening bears) MACD histogram provides visual confirmation of momentum strength and direction. 5. Stochastic RSI - Enhanced Sensitivity Stochastic calculation applied to RSI values: stochRSI = ta.stoch(rsi, rsi, rsi, 14) Stochastic RSI oscillates between 0-100 and is more sensitive than regular RSI, catching momentum shifts earlier. The indicator plots both K and D lines for crossover analysis. Example showing all oscillators with divergence markers and signal labels Multi-Signal System The indicator generates six tiers of signals based on confluence strength: BUY Signals: BUY: WT1 crosses above WT2 in oversold zone (WT1 < -40) STRONG BUY: BUY + volume above average + MACD histogram positive MEGA BUY: STRONG BUY + WT1 < -60 (extreme oversold) + RSI < 35 ULTRA BUY: MEGA BUY + MFI < 30 + Stoch RSI oversold + bullish divergence SELL Signals: SELL: WT1 crosses below WT2 in overbought zone (WT1 > 40) STRONG SELL: SELL + volume above average + MACD histogram negative MEGA SELL: STRONG SELL + WT1 > 60 (extreme overbought) + RSI > 65 ULTRA SELL: MEGA SELL + MFI > 70 + Stoch RSI overbought + bearish divergence Signal labels appear on chart with size proportional to signal strength (tiny for BUY/SELL, normal for ULTRA). Divergence Detection System The indicator detects divergences across multiple oscillators: RSI Divergence: Bullish: Price makes lower low, RSI makes higher low Bearish: Price makes higher high, RSI makes lower high WaveTrend Divergence: Bullish: Price makes lower low, WT1 makes higher low Bearish: Price makes higher high, WT1 makes lower high MACD Divergence: Bullish: Price makes lower low, MACD histogram makes higher low Bearish: Price makes higher high, MACD histogram makes lower high Divergences are marked with bright orange/yellow "D" labels (color.rgb(255, 200, 0)) with black text for maximum visibility. When multiple oscillators show divergence simultaneously, it signals strong momentum exhaustion and potential reversal. Confluence Scoring System The indicator calculates a real-time confluence score (0-100) by evaluating: Confluence Components: - WaveTrend Position: Up to 25 points (extreme zones add more weight) - WaveTrend Momentum: Up to 15 points (WT1-WT2 relationship) - RSI Level: Up to 15 points (extreme readings add weight) - MFI Level: Up to 15 points (volume pressure confirmation) - MACD Histogram: Up to 15 points (trend momentum) - Stochastic RSI: Up to 10 points (early momentum detection) - Divergence Presence: Up to 5 points (any divergence detected) The dashboard displays the current confluence score with color coding: Green (80-100): Strong bullish confluence Light green (60-79): Moderate bullish confluence Yellow (40-59): Neutral/mixed signals Light red (20-39): Moderate bearish confluence Red (0-19): Strong bearish confluence Visual Elements WaveTrend Lines: WT1 (blue) and WT2 (orange) with dynamic coloring Overbought/Oversold Zones: Horizontal lines at +60/-60 and +80/-80 Zero Line: Reference line at 0 MACD Histogram: Large bars (linewidth 8) with gradient coloring MFI Line: Purple line showing volume-weighted momentum RSI Line: Green line with overbought/oversold reference levels Stochastic RSI: K (blue) and D (red) lines Signal Labels: BUY/SELL markers with size based on signal strength Divergence Labels: Bright orange "D" markers at divergence points Dashboard: Top-right table showing confluence score and oscillator readings Chart demonstrating signal hierarchy from BUY to ULTRA BUY with divergence markers How Components Work Together The mashup creates a layered momentum analysis: Layer 1 - Primary Momentum: WaveTrend identifies wave cycles and crossover signals Layer 2 - Volume Confirmation: MFI validates moves with volume-weighted pressure Layer 3 - Baseline Momentum: RSI provides reliable overbought/oversold context Layer 4 - Trend Strength: MACD histogram shows underlying trend momentum Layer 5 - Early Detection: Stochastic RSI catches momentum shifts before other oscillators Layer 6 - Exhaustion Signals: Divergences across oscillators indicate momentum exhaustion Example scenario: WT1 crosses above WT2 in oversold zone (Layer 1), MFI shows buying pressure increasing (Layer 2), RSI is below 35 (Layer 3), MACD histogram turns positive (Layer 4), Stochastic RSI crosses up (Layer 5), and RSI shows bullish divergence (Layer 6). This generates an ULTRA BUY signal with 90+ confluence score. Input Parameters WaveTrend Settings: Channel Length: Period for EMA calculation (default: 10) Average Length: Smoothing period for WT1 (default: 21) Overbought Level: Upper threshold (default: 60) Oversold Level: Lower threshold (default: -60) Extreme OB Level: Extreme upper threshold (default: 80) Extreme OS Level: Extreme lower threshold (default: -80) Oscillator Settings: RSI Length: Period for RSI calculation (default: 14) MFI Length: Period for MFI calculation (default: 14) MACD Fast: Fast EMA period (default: 12) MACD Slow: Slow EMA period (default: 26) MACD Signal: Signal line period (default: 9) Stochastic RSI Length: Period for Stoch RSI (default: 14) Signal Settings: Show Signals: Toggle signal labels (default: enabled) Show Divergences: Toggle divergence markers (default: enabled) Volume Confirmation: Require volume for STRONG signals (default: enabled) Min Confluence for Signals: Minimum score to display signals (default: 60) Display Options: Show Dashboard: Toggle confluence score table (default: enabled) Show MACD Histogram: Toggle MACD display (default: enabled) Show MFI Line: Toggle MFI display (default: enabled) Show RSI Line: Toggle RSI display (default: enabled) Show Stochastic RSI: Toggle Stoch RSI display (default: enabled) Color Theme: Choose between multiple color schemes How to Use This Indicator Step 1: Monitor WaveTrend Oscillator Watch for WT1/WT2 crossovers in extreme zones. Crossovers in oversold zone (< -60) suggest bullish reversals, crossovers in overbought zone (> 60) suggest bearish reversals. Step 2: Check Confluence Score Review the dashboard. Scores above 70 indicate strong momentum alignment. Higher scores generally produce more reliable signals. Step 3: Identify Signal Strength Pay attention to signal labels. ULTRA signals have highest probability but occur less frequently. STRONG signals offer good balance between frequency and reliability. Step 4: Look for Divergences Divergence markers indicate momentum exhaustion. When divergences appear with extreme oscillator readings, reversal probability increases significantly. Step 5: Confirm with MACD Histogram Check MACD histogram direction and strength. Large histogram bars confirm strong momentum, shrinking bars suggest momentum loss. Step 6: Validate with Volume (MFI) Ensure MFI supports the move. Bullish signals with rising MFI are stronger, bearish signals with falling MFI are stronger. Best Practices Use on 15-minute to 4-hour timeframes for optimal signal quality Wait for STRONG or MEGA signals rather than acting on every BUY/SELL Divergences work best when combined with extreme oscillator readings Multiple oscillator divergences (RSI + WT + MACD) are most reliable Use confluence score as filter - avoid signals below 60 score MACD histogram size indicates momentum strength - larger bars = stronger moves MFI divergence from price often precedes reversals (volume leads price) Combine with price action and support/resistance for best results Indicator Limitations Oscillators can remain overbought/oversold longer than expected in strong trends Divergences can persist for multiple bars before reversal occurs Multiple signals in choppy markets can lead to whipsaws Confluence score is mathematical calculation, not prediction of future movement ULTRA signals are rare - waiting only for these may miss opportunities Volume data quality varies across markets and can affect MFI reliability Stochastic RSI is very sensitive and can generate premature signals No indicator combination eliminates false signals entirely Requires understanding of oscillator behavior for effective interpretation Technical Implementation Built with Pine Script v6 using: Custom WaveTrend calculation with dual-line system Proper MFI formula with volume-weighted money flow Multi-oscillator divergence detection with pivot analysis Confluence scoring algorithm with weighted components Enhanced MACD histogram visualization (linewidth 8) Dynamic color gradients for momentum visualization Anti-overlap logic for signal labels Real-time dashboard with oscillator readings The code is fully open-source and can be modified to adjust oscillator weights, signal thresholds, and visual preferences. Originality Statement This indicator is original in its multi-oscillator integration approach. While individual components (WaveTrend, MFI, RSI, MACD, Stochastic RSI) are established oscillators, this mashup is justified because: It combines five oscillators using fundamentally different calculation methods The tiered signal system (BUY to ULTRA) provides graduated confidence levels Multi-oscillator divergence detection catches momentum exhaustion across different timeframes Confluence scoring quantifies momentum alignment across all oscillators Volume integration through MFI adds institutional flow perspective Enhanced visualization (large MACD histogram, bright divergence markers) improves usability Each oscillator contributes unique information: WaveTrend provides wave-cycle analysis, MFI incorporates volume, RSI offers reliable baseline, MACD shows trend strength, and Stochastic RSI catches early shifts. The mashup's value lies in identifying when these different momentum calculations align, significantly reducing false signals compared to any single oscillator. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Oscillator-based indicators are lagging tools that analyze past price data. They do not predict future price movement. Overbought conditions can persist in strong uptrends, and oversold conditions can persist in strong downtrends. Divergences can continue for extended periods before reversals occur. The confluence score is a mathematical calculation, not a guarantee of trade success. High confluence scores do not ensure profitable trades. Past signal performance does not guarantee future results. Market conditions change, and oscillator behavior varies across different market regimes. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
Volume Opening Range Framework CRRVolume Opening Range Framework CRR This indicator is designed for intraday market structure observation using opening session reference levels. The script builds a structured framework based on early session price activity and plots fixed levels across the trading day for visual analysis only. Key Features Opening session reference levels from 0915 to 1515 Fixed middle reference line with upper and lower distance levels Expansion based demand and supply style zones HMA 29 trend reference for structure guidance Clean visual framework for index or stock charts How To Use Apply on intraday charts for market structure study Use levels as reference areas not as trading signals Combine with personal analysis and independent confirmation Indicator does not predict market direction House Rules Notice Educational and analytical tool only No buy sell signals no profit claims no performance guarantees Users should make independent decisions and manage their own risk
Penunjuk Pine Script®
oleh rajesswarrav
Structural Volatility Expansion StrategyStructural Volatility Expansion Strategy Purpose This strategy studies the relationship between confirmed market structure breaks and volatility regime shifts. Its objective is to participate in directional expansions that occur after structural confirmation, while filtering out low-volatility consolidations and false breakouts. The script is intended for research and systematic evaluation, not predictive claims. Methodology The model combines three interacting components: 1. Confirmed Structural Break Logic Market structure is derived using confirmed pivot highs and pivot lows. A bullish structural break is defined as a close above the most recent confirmed pivot high. A bearish structural break is defined as a close below the most recent confirmed pivot low. Pivots require full bar confirmation, which prevents forward-looking bias and repainting. This approach differs from simple rolling highest/lowest calculations by using structurally validated turning points. 2. Volatility Regime Classification Volatility is measured using ATR relative to its moving average baseline. Two regimes are defined: Compression: ATR below its historical baseline. Expansion: ATR above its historical baseline. Trades are only allowed during expansion phases. This attempts to reduce participation during statistically lower-momentum environments. 3. Liquidity Sweep Filter Breakouts that wick beyond structural levels but fail to close beyond them are treated as liquidity sweeps and are excluded. This reduces exposure to stop-run reversals where structure appears broken intrabar but fails on close. 4. Higher Timeframe Alignment Directional bias is determined using a higher timeframe moving average. Long entries require higher timeframe close above its MA. Short entries require higher timeframe close below its MA. Lookahead is disabled to avoid repainting. This introduces multi-timeframe confirmation without using future data. Risk Management Default strategy properties: Initial capital: 10,000 Position sizing: 2% of equity per trade Commission: 0.04% Slippage: 2 ticks Pyramiding: Disabled Stops are ATR-based and targets use a fixed risk-reward multiple (default 2:1). The position sizing is intentionally conservative and does not exceed commonly accepted sustainable risk thresholds. Backtesting Transparency When evaluating results: Use markets with sufficient liquidity. Ensure a dataset that generates a meaningful number of trades (ideally 100+). Keep default commission and slippage settings unchanged. Avoid optimizing inputs solely to maximize historical performance. Performance results are dependent on instrument, timeframe, and historical period tested. This script does not guarantee profitability and should be forward-tested before any live use. Intended Use This strategy is designed for: Studying structural continuation patterns Researching volatility regime transitions Comparing breakout performance during expansion vs compression Systematic strategy development It is not intended as financial advice. Originality Notes The script: Uses confirmed pivot-based structure rather than raw lookback highs/lows Filters entries by volatility regime classification Excludes wick-only structural violations Applies non-repainting higher timeframe bias Uses realistic transaction cost modeling The logic emphasizes interaction between structure and volatility rather than indicator stacking. Limitations & Responsible Use This strategy has several important limitations: Lag From Pivot Confirmation Structural pivots require confirmation, which introduces delay. Signals may occur after a portion of the move has already developed. ATR Sensitivity Volatility classification depends on ATR relative to its baseline. During regime transitions, expansion signals may appear slightly late or briefly revert to compression. Trend Dependency The strategy performs best during directional market phases. Extended sideways environments may reduce performance even with volatility filtering. Higher Timeframe Influence The higher timeframe moving average is a smoothing mechanism and may not capture sudden macro shifts immediately. Market Specific Behavior Different asset classes (crypto, forex, equities, indices) exhibit different volatility cycles. Parameters may require testing across multiple datasets rather than optimization for a single instrument. Backtest Limitations Historical testing does not account for: Liquidity variations Execution delays Psychological decision-making factors Structural market changes over time Forward testing and risk control are recommended before any real capital deployment. Suggested Evaluation Approach For objective evaluation: Test across multiple years of data. Use instruments with consistent liquidity. Maintain realistic commission and slippage settings. Avoid curve-fitting inputs to a specific historical window. Compare results across trending and ranging environments. Risk Disclaimer This script is provided for research and educational purposes only. It does not constitute investment advice. All trading involves risk, and past performance does not guarantee future results.
Strategi Pine Script®
oleh JaxonJackFX
Position Dashboard + Buy/Sell SignalsPosition Dashboard with Multi-Filter Buy/Sell Signals – A Comprehensive Portfolio Management Tool for TradingView Overview This indicator bridges the gap between your actual cryptocurrency portfolio and real‑time technical analysis on TradingView. Instead of toggling between exchange accounts and charts, you can now visualise your total position value directly on your favourite chart, monitor equivalent amounts in major coins, and receive high‑confidence buy/sell signals based on a robust multi‑condition filter. The tool is designed for traders who want a holistic view of their holdings while making data‑driven entry and exit decisions. Functionality & Purpose The script serves two complementary purposes: Portfolio Dashboard Enter your holdings for BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE, and any other USD‑denominated assets. Live prices are fetched from user‑defined tickers (e.g., BINANCE:BTCUSDT), and the total portfolio value is displayed in both USD and CNY. Equivalent quantities of each coin (e.g., “your total portfolio is worth X BTC”) are calculated, giving you an intuitive sense of purchasing power across different assets. A Bollinger Bands channel is applied to the total USD value, providing dynamic add (lower band) and reduce (upper band) reference levels. A simple text suggestion (“Add” / “Reduce” / “Hold”) summarises the current position relative to these bands. Multi‑Filter Buy/Sell Signals Rather than relying on a single noisy oscillator, the indicator combines several classic concepts to generate signals only when multiple conditions align: Trend filter (price vs. a long‑term EMA) ensures signals align with the dominant direction. EMA cross (price vs. a medium‑term EMA) captures momentum shifts. RSI threshold (above/below 50) prevents counter‑trend entries and avoids overbought/oversold extremes. Volume confirmation (optional) requires volume to exceed its 20‑period average, reducing false signals during low‑activity periods. Confirmation bar count – you can require that all conditions persist for 1–5 consecutive bars before a signal is drawn, effectively filtering out short‑lived spikes. All this information is neatly presented in a table anchored at the bottom centre of the chart, leaving the price action area unobstructed. How It Works (Operational Logic) Portfolio Value Calculation User Inputs – You specify the quantity of each coin you hold (non‑integer values allowed) and optionally a lump sum for “other” USD assets. Price Fetching – For each coin, the script requests the close price from the ticker you provide (e.g., BINANCE:BTCUSDT). The same is done for the USD/CNY exchange rate (primary: FX_IDC:USDCNY, fallback: FX_IDC:USDCNH). Value Aggregation – totalUsd = Σ (quantity × price) + otherUsd. The CNY value is obtained by multiplying totalUsd by the current exchange rate. Equivalent Quantities – totalUsd is divided by each coin’s price to show “your portfolio is worth X of coin Y”. Add/Reduce Reference Lines A simple Bollinger Bands calculation is performed on the totalUsd series over the user‑defined length and multiplier. Because the total value fluctuates with market prices, these bands adapt to volatility and give you objective levels for considering portfolio rebalancing. Buy/Sell Signal Generation (on the main chart symbol) The signal logic operates independently on the price of the symbol the chart is currently showing. It does not use the portfolio values for entries/exits – it only uses the chart’s own price, volume, and derived indicators. The rationale is that you may trade the symbol shown on the chart while still wanting to keep an eye on your overall portfolio in the same workspace. Trend EMA – a long‑term average (default 200) defines the broader trend. Signal EMA – a shorter average (default 50) reacts faster to price changes. Cross Conditions – a golden cross (price crosses above the signal EMA) in an uptrend becomes a buy trigger; a death cross (price crosses below the signal EMA) in a downtrend becomes a sell trigger. RSI Filter – buys are only considered if RSI is below 50 (avoiding overbought entries); sells if RSI is above 50 (avoiding oversold exits). Volume Confirmation – when enabled, the bar’s volume must exceed its 20‑bar average. Confirmation Counter – the composite condition must remain true for a user‑specified number of consecutive bars. This is the key to eliminating the majority of false starts and whip‑saws. Once all criteria are met, a green triangle up (below the bar) or a red triangle down (above the bar) is plotted. Dashboard Table On the last bar, a 2‑column, 12‑row table is drawn. It contains: Total USD value Total CNY value Equivalent quantities for BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE Add level (USD) Reduce level (USD) Current text advice The table’s background is semi‑transparent black, ensuring readability without obscuring the chart. Synergy of Components While the portfolio dashboard and the buy/sell signals are logically independent, they work together to give you a complete picture: The dashboard tells you where you stand – how much capital is deployed, its distribution, and whether the total value is historically high or low relative to its own volatility (via the Bollinger Bands). The signals tell you when to act on the chart symbol – a potential entry or exit point based on proven technical principles. The add/reduce levels offer a macro perspective: if the total portfolio value is far above its upper band, it might be a sensible time to take some profits, even if the chart symbol itself hasn’t generated a sell signal yet. Conversely, a total value below the lower band could encourage bargain hunting. By integrating both views, you avoid the common pitfall of focusing only on a single coin while losing sight of your overall risk exposure. How to Use the Indicator Add the indicator to any TradingView chart (preferably a cryptocurrency pair). Input your holdings in the “Inputs” tab: Enter the exact quantities you own of BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE. If you hold other assets not listed, sum their USD value and enter it under “Other Positions Value (USD)”. Verify price sources – the default tickers point to Binance USDT pairs. Adjust them if your broker uses different symbols (e.g., BITFINOX:BTCUSD). Adjust signal parameters to suit your trading style: EMA lengths, RSI levels, volume confirmation toggle, and confirmation bars. Start with the defaults and experiment on historical data to find settings that match your risk tolerance. Observe the table at the bottom centre of your chart – all portfolio metrics update in real time. Watch for buy/sell arrows – they appear only when the multi‑filter conditions are satisfied, giving you potential trade ideas for the symbol on screen. What Makes This Indicator Original? Unified Dashboard + Signals – Most indicators either track a portfolio or give signals; this one does both in a clean, non‑intrusive layout. Multi‑Layer Filtering – The combination of trend, cross, RSI, volume, and consecutive‑bar confirmation is deliberately chosen to reduce noise without sacrificing responsiveness. The confirmation‑bar parameter alone lets you fine‑tune the trade‑off between timeliness and reliability. Adaptive Add/Reduce Levels – By applying Bollinger Bands to the total portfolio value, the indicator provides a custom rebalancing guide that adjusts to market volatility – a feature rarely seen in public scripts. User‑Configurable Price Sources – You are not locked into a single exchange; the tickers can point to any TradingView‑supported symbol, making the tool exchange‑agnostic. Bottom‑Centred Table – The placement respects your chart real estate while keeping all critical numbers visible at a glance. Important Considerations & Disclaimer No Performance Guarantees – The signals are derived from historical price patterns and common technical indicators. They are not a promise of future profits. Always conduct your own analysis and consider risk management. Data Reliability – The script relies on the availability and accuracy of the price feeds you specify. If a ticker becomes invalid, the corresponding value will show as N/A. Parameter Optimisation – The default values are reasonable starting points, but every trader and market behaves differently. Use the strategy tester or back‑testing features in TradingView to evaluate how the signals would have performed in the past with your chosen settings. Portfolio Values ≠ Trading Capital – The total portfolio value displayed includes all entered holdings, whether or not you intend to trade them. Do not confuse this with your active trading account balance. Use as a Decision‑Support Tool – This indicator is designed to assist, not replace, your own judgment. Markets can be unpredictable; always use stop‑losses and position sizing. By merging real‑time portfolio tracking with technically sound entry/exit signals, this indicator offers a practical solution for traders who want to keep one eye on their overall exposure and the other on the next potential move. Its modular design and extensive configurability make it suitable for both beginners and experienced traders alike.
Penunjuk Pine Script®
oleh neeson1987