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Trader HQ - Multi Time Frame EMA📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes. This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment. By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure. 🔧 Key Features ✅ Up to 3 independent 200 EMAs ✅ Individual timeframe selection per EMA ✅ Clean overlay on any chart ✅ Adjustable display per line ✅ Real-time multi-timeframe calculations ✅ Works on all markets and sessions 🎯 How to Use This indicator is designed as a primary trend filter. Example configuration: • EMA 1 → Lower timeframe (Execution) • EMA 2 → Medium timeframe (Momentum) • EMA 3 → Higher timeframe (Structure) Bullish Bias Example Price above all 200 EMAs Lower EMA above higher EMA Pullbacks hold above structure Bearish Bias Example Price below all 200 EMAs Lower EMA below higher EMA Rejections at structure When EMAs are aligned, trend probability increases. 📊 Best Use Cases ✔ Futures Trading ✔ Options & Equity Trading ✔ Forex & Crypto ✔ Prop Firm Evaluations ✔ Trend-Following Systems ✔ Momentum Strategies ⚠️ Risk Disclaimer This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy. 🛠 Technical Details • Pine Script Version: v6 • Uses native TradingView security() for MTF accuracy • Optimized for low-latency execution
Chỉ báo Pine Script®
của Marketscope
Apex Wallet - Bitcoin Halving Cycle & Profit ProjectionOverview The Apex Wallet Bitcoin Halving Cycle Profit is a strategic macro-analysis tool designed for Bitcoin investors and long-term holders. It provides a visual framework of Bitcoin's 4-year cycles by identifying past halving dates and projecting future ones automatically. The script highlights key accumulation and profit-taking windows based on historical cycle performance. Dynamic Cycle Intelligence Halving Milestones: Automatically detects and marks all major halving events (2012, 2016, 2020, 2024) with precise timestamps. Predictive Projections: Using an estimated 1,460-day cycle, the script projects up to 30 future halving events to help plan long-term investment horizons. Timeframe Optimization: Built specifically for Weekly (W) and Monthly (M) charts to provide a clean, high-level perspective of market structure. Key Strategy Visuals Profit Windows: Visualizes "Start" and "End" profit zones with automated vertical lines and color-coded labels based on user-defined offsets from the halving. DCA Chain Signals: Identifies strategic Dollar Cost Averaging (DCA) points throughout the cycle to assist in disciplined accumulation. Heatmap Shading: Features dynamic background shading that intensifies as the cycle progresses toward historical peak performance periods. How to Use: Switch to a Weekly or Monthly Bitcoin chart. Use the Green Labels (Profit START) to identify early cycle strength. Monitor the Red Labels (Profit END) for historical cycle exhaustion zones.
Chỉ báo Pine Script®
của Apex-Wallet
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader ) Overview The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation. How It Works The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries: Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move. Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum. PRE-BULL: Momentum is building upwards despite price being flat. PRE-BEAR: Momentum is fading downwards despite price being flat. Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long. Key Features Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens. Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath." On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value. Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility. Trading Rules Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction. Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter. Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears. Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss. Technical Settings HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average). TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility. Squeeze Length: Determines the lookback period for consolidation detection. Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
Chỉ báo Pine Script®
của hermanwomsiwor
Crow RadarV2.1 (Full Blood)乌鸦全能操盘手系统 V2.1 (Full Blood) —— 专为 1% 的专业交易者打造 还在为 SOL 的频繁插针交学费？在算法面前，情绪一文不值。 产品逻辑：本系统基于**“微观压力+宏观联动”**双重引擎。 实时避险系统：当 BTC 联动走弱或卖压异常，全图背景自动泛红，这是你最后一条救命护城河。 冷酷猎手算法：内置信号冷却与趋势过滤，剔除 90% 的无效波动，只在共振时刻发出“🦅捕猎”指令。 战术控制面板：集成风险等级、BTC 偏离度及市场活跃度，一眼看穿主力底牌。 适合人群：追求稳定曲线、厌恶情绪化博弈、正在进行 100 单纪律训练的交易者。 行动呼吁：不开放源代码，仅限 Invite-only。评论区留下你的 TradingView ID，首批开放 5 个内测名额。 “当前为公测版，仅开放基础功能。想要获取‘高灵敏度信号’或加入‘实战带盘群’，请私信联系。” Córas Trádálaí Uile-Babhta Raven V2.1 (Full Blood) – Deartha don 1% de thrádálaithe gairmiúla. An bhfuil tú fós ag íoc an phraghais as borradh praghais SOL go minic? Níl aon luach ar mhothúcháin i bhfianaise halgartaim. Loighic Táirge: Tá an córas seo bunaithe ar inneall déach **"micrea-bhrú + macra-nasc"**. Córas Fálaithe Fíor-Ama: Nuair a lagaíonn comhghaol BTC nó nuair a bhíonn brú díola neamhghnácha, casann cúlra iomlán na cairte dearg go huathoibríoch – do líne chosanta dheireanach. Algartam Sealgaire Gan Ruth: Cuireann fuarú comhartha agus scagadh treochtaí ionsuite deireadh le 90% de luaineachtaí neamhbhailí, ag eisiúint orduithe "seilge" ach amháin ag chuimhneacháin athshondais. Painéal Rialaithe Oirbheartaíochta: Comhtháthaíonn sé leibhéal riosca, diall BTC, agus gníomhaíocht mhargaidh, ag nochtadh straitéisí na bpríomhimreoirí go hachomair. Oiriúnach do: Trádálaithe atá ag lorg patrúin chairte cobhsaí, atá drogallach i leith trádála mothúchánach, agus atá ag dul faoi oiliúint disciplín 100-thrádála. Glao chun Gnímh: Foinse oscailte amháin, cuireadh-amháin. Fág d'Aitheantas TradingView sa chuid tuairimí do na chéad 5 shliotán tástála béite. "Is leagan béite poiblí é seo faoi láthair, agus níl ach feidhmeanna bunúsacha ar fáil. Chun an 'comhartha ard-íogaireachta' a fháil nó chun páirt a ghlacadh sa 'ghrúpa trádála praiticiúil', déan teagmháil linn trí theachtaireacht phríobháideach."
Chỉ báo Pine Script®
của liusha4499
Goldbach w/ ParentPO3 Goldbach w/ Parent – Multi-Timeframe Dealing Range Framework PO3 Goldbach Trifecta is a professional-grade market structure indicator built around the Power of Three (PO3) and Goldbach/IPDA level framework, designed to map where price is, what it is doing, and what it is likely to do next inside any dealing range. This indicator is not a signal tool. It is a context and execution framework for traders who want consistent, repeatable structure across all markets and timeframes. Core Features 🔹 True PO3 Dealing Range Calculation Automatic PO3 ranges (3 → 531,441) with Hopiplaka price normalization Works consistently across Forex, Indices, Crypto, Stocks, and Commodities Optional range shifting to align structure with higher-timeframe intent 🔹 Full Goldbach / IPDA Level Mapping Institutional reference levels: RB, OB, FVG, LV, BR, MB, EQ Internal equilibrium bands (0.23 / 0.35 / 0.47 / 0.53 / 0.65 / 0.77) External stop-run levels (±0.111) Clean visual hierarchy with customizable styles 🔹 Zone-Based Structure & Function Mapping Each zone is visually separated and optionally labeled by function, not just percentage: OB – engineer or take liquidity / Order-flow gates Rebalance zone Clear Discount / EQ / Premium framework at all times Fair Value Gap (FVG) Intelligence Automatic 3-candle FVG detection ATR-filtered (noise-reduced) Optional LV-only / FVG-only zone filtering Smart lifecycle management: Mid-fill or full-fill logic Auto-expire or dim once filled Designed to highlight actionable FVGs, not clutter 🔥 What Makes This Indicator Different Parent-Aligned Nested PO3 Ranges (Key Differentiator) Most PO3 or Goldbach tools treat each timeframe or range in isolation. This does not. This indicator introduces a Parent-Aligned Nested PO3 system, allowing you to: Anchor multiple child PO3 ranges inside a higher-timeframe parent See exactly where the current PO3 sits inside its parent: Discount Equilibrium Premium Visualize internal partitions of the parent range (x3, x9, x27) Identify: Partial acceptance Failed expansions Rebalancing behavior across timeframes This solves one of the biggest PO3 problems: “Price looks bullish here… but bearish on the higher PO3.” With the parent feature, that contradiction disappears.
Chỉ báo Pine Script®
của rebel_df
1
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation Overview and Philosophical Foundation The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation. The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align. Integration Rationale and Component Synergy 1. Trend Analysis Layer (Dual Moving Average System) Components: SMA-50 and SMA-200 Purpose: Establish primary market direction and filter against counter-trend signals Integration Rationale: SMA-50 provides medium-term trend direction SMA-200 establishes long-term trend context The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals 2. Momentum Analysis Layer (MACD) Components: MACD line, signal line, histogram Purpose: Detect changes in market momentum and identify potential trend reversals Integration Rationale: MACD crossovers provide timely momentum shift signals Histogram analysis confirms momentum acceleration/deceleration This layer acts as the primary trigger mechanism, initiating the signal evaluation process The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation 3. Overbought/Oversold Analysis Layer (RSI) Components: RSI with adjustable threshold levels Purpose: Identify potential reversal zones and market extremes Integration Rationale: RSI provides mean-reversion context to momentum signals Extreme readings (oversold/overbought) indicate potential exhaustion points This layer prevents entry at statistically unfavorable price levels The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework 4. Market Participation Layer (Volume Analysis) Components: Volume surge detection relative to moving average Purpose: Validate price movements with corresponding volume activity Integration Rationale: Volume confirms the significance of price movements Volume surge detection identifies institutional or significant market participation This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements Synergistic Operation Mechanism The script operates through a sequential validation process: Stage 1: Signal Initiation Triggered by either MACD crossover or RSI entering extreme zones This initial trigger has high sensitivity but low specificity Multiple trigger mechanisms ensure the system remains responsive to different market conditions Stage 2: Trend Context Validation Price must be positioned correctly relative to both SMA-50 and SMA-200 For buy signals: Price > SMA-50 > SMA-200 (bullish alignment) For sell signals: Price < SMA-50 < SMA-200 (bearish alignment) This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline Stage 3: Volume Confirmation Must demonstrate above-average volume participation (configurable multiplier) Volume surge provides statistical confidence in the price movement This layer addresses the "participation gap" where price moves without corresponding volume Stage 4: Signal Quality Assessment Each condition contributes to a quality score (0-100) Higher scores indicate stronger multi-dimensional alignment Quality rating helps users differentiate between marginal and high-conviction signals Original Control Mechanisms 1. Signal Cooldown System Purpose: Prevent signal overload and encourage trading discipline Mechanism: After any signal generation, the system enters a user-defined cooldown period During this period, no new signals of the same type are generated This reduces emotional trading decisions and filters out clustered, lower-quality signals Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour) 2. Visual State Tracking Purpose: Provide intuitive market phase identification Mechanism: After a buy signal: Subsequent candles are tinted light blue After a sell signal: Subsequent candles are tinted light orange This creates a visual "holding period" reference Users can quickly identify which system state is active and for how long Practical Implementation Guidelines Parameter Configuration Strategy Timeframe Adaptation: Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods Market Regime Adjustment: Trending markets: Emphasize trend alignment and MACD components Range-bound markets: Increase RSI sensitivity and enable volatility filtering Signal Level Selection: Level 1: Suitable for active traders in high-liquidity markets Level 2: Balanced approach for most market conditions Level 3: Conservative setting for high-probability setups only Risk Management Integration Use quality scores as position sizing guides Higher quality signals (Q≥80) warrant standard position sizes Medium quality signals (60≤Q<80) suggest reduced position sizing Lower quality signals (Q<60) recommend caution or avoidance Empirical Limitations and Considerations Statistical Constraints No trading system guarantees profitability Historical performance does not predict future results System effectiveness varies by market conditions and timeframes Maximum historical win rates in backtesting range from 55-65% in optimal conditions Market Regime Dependencies Strong Trending Markets: System performs best with clear directional movement High Volatility/Ranging Markets: Increased false signal probability Low Volume Conditions: Volume confirmation becomes less reliable User Implementation Requirements Time Commitment: Regular monitoring and parameter adjustment Market Understanding: Basic knowledge of technical analysis principles Discipline: Adherence to signal rules and risk management protocols Technical Validation Framework Backtesting Methodology Multi-timeframe analysis across different market conditions Parameter optimization through walk-forward analysis Out-of-sample validation to prevent curve fitting Performance Metrics Tracked Win rate percentage across different signal qualities Average win/loss ratio per signal category Maximum consecutive wins/losses Risk-adjusted return metrics Innovative Contributions Multi-Dimensional Scoring System Original quality scoring algorithm weighting each dimension appropriately Dynamic adjustment based on market conditions Visual representation through signal labels and information panel Integrated Information Dashboard Real-time display of all system dimensions Color-coded status indicators for quick assessment Historical context for current signal generation Adaptive Filtering Mechanism Configurable strictness levels without code modification User-adjustable sensitivity across all dimensions Preset configurations for different trading styles Conclusion and Appropriate Usage The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as: A Framework for Analysis: Rather than a black-box trading system A Decision Support Tool: To be combined with fundamental analysis and market context A Learning Instrument: For understanding how different analytical dimensions interact The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself. Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Chỉ báo Pine Script®
của neeson1987
HVP Diario CC/CSPThis HVP Daily CC/CSP indicator is designed for traders seeking consistent income through options selling, transforming daily volatility into a clear, objective, and actionable guide: it shows you exactly when NOT to sell options due to weak premiums, when to take advantage of moderate volatility to safely sell PUTs, and when volatility is high enough to sell CALLs with superior returns. Everything is based on a percentile calculation that compares current volatility with its historical behavior, smoothed to eliminate noise and enhanced with an EMA that reveals the true market trend. If you want to trade with discipline, avoid bad weeks, and maximize your weekly income through simple, visual, and precise signals, this indicator is for you.
Chỉ báo Pine Script®
của josehernandezvalcarcel
Institutional Top-Bottom by Herman Sangivera (Papua)Institutional Top-Bottom + Volume Profile by Herman Sangivera ( Papua ) 📈 Component Description Orange Line (POC - Point of Control): This represents the "Fair Value." Institutions view prices far above this line as "Expensive" (Premium) and prices below as "Cheap" (Discount). Green/Red Boxes (Order Blocks): These are footprints left by big banks. A Green Box is a demand zone where institutional buying occurred, and a Red Box is a supply zone where institutional selling happened. Institutional Labels: These appear when the RSI Divergence confirms that price momentum is fading, signaling a high-probability reversal (Top or Bottom). 🚀 Trading Strategy Guide 1. The High-Probability Buy Setup (Bottom) Look for a "Confluence" of these three factors: Location: Price is trading below the Orange POC line (Discount zone). The Zone: Price enters or touches a Green Order Block. The Signal: The "INSTITUTIONAL BUY" label appears. Entry: Enter Buy at the close of the candle with the label. Stop Loss: Place it just below the Green Order Block. Take Profit: Target the Orange POC line or the nearest Red Order Block. 2. The High-Probability Sell Setup (Top) Look for a "Confluence" of these three factors: Location: Price is trading above the Orange POC line (Premium zone). The Zone: Price enters or touches a Red Order Block. The Signal: The "INSTITUTIONAL SELL" label appears. Entry: Enter Sell at the close of the candle with the label. Stop Loss: Place it just above the Red Order Block. Take Profit: Target the Orange POC line or the nearest Green Order Block. 💡 Pro Tips for Accuracy Timeframes: For the best results, use 15m for Scalping, and 1H or 4H for Day/Swing Trading. Wait for the Candle Close: Labels are based on Pivot points. Always wait for the current candle to close to ensure the signal is locked and won't "repaint." Avoid Flat Markets: This indicator works best when there is volatility. Avoid using it during "choppy" or sideways markets with very low volume.
Chỉ báo Pine Script®
của hermanwomsiwor