Rozpocznij

Candlestick analysis

JD Moon Scalping Naked with 15minutes and Daily BOX​မင်္ဂလာပါ၊ ကျွန်တော် JD MOON ပါ။ ​JD MOON Scalping Indicator ဆိုတာကတော့ 15-Minute Opening Range ကို အခြေခံပြီး ဈေးကွက်ရဲ့ Breakout အခွင့်အလမ်းတွေကို အမိအရ ဖမ်းယူနိုင်ဖို့ ဖန်တီးထားတဲ့ Trend Following Indicator တစ်ခု ဖြစ်ပါတယ်။ ​💡 တွေးခေါ်မြော်မြင်မှုနှင့် ရည်ရွယ်ချက် (Methodology) ​ဒီ Indicator ကို Scalping အတွက် အဓိက ရည်ရွယ်ပြီး ဖန်တီးထားတာ ဖြစ်ပေမယ့်၊ Indicator တစ်ခုတည်းကို မျက်စိမှိတ် အားကိုးဖို့ မဟုတ်ပါဘူး။ ခိုင်မာတဲ့ Price Action နည်းစနစ်တွေနဲ့ ပေါင်းစပ်အသုံးပြုဖို့ ဒီဇိုင်းထုတ်ထားတာ ဖြစ်ပါတယ်။ တစ်ရက်တာရဲ့ Daily Range Box အတွင်းမှာ အမြတ်အစွန်း ရှာဖွေနိုင်ဖို့အတွက် အောက်ပါ Tools တွေကို တစ်နေရာတည်းမှာ စုစည်းပေးထားပါတယ်- ​15m Opening Range Box: ဈေးကွက်အဖွင့် ၁၅ မိနစ်ရဲ့ High/Low ကို အခြေခံပြီး Breakout ကို စောင့်ကြည့်နိုင်ခြင်း။ ​Daily Range Analysis: မနေ့က High/Low (Yesterday Box) ကို ကြည့်ပြီး ယနေ့ဈေးကွက်ရဲ့ အလားအလာကို ခန့်မှန်းနိုင်ခြင်း။ ​Pivot Points (R1-R5, S1-S5): အဓိက ကျရောက်နိုင်တဲ့ Support နဲ့ Resistance Levels တွေကို ကြိုတင်မြင်တွေ့နိုင်ခြင်း။ ​Volume & RSI Dashboard: ဈေးကွက်ရဲ့ အင်အား (Strength) နဲ့ Volume အခြေအနေကို Real-time စစ်ဆေးနိုင်ခြင်း။ ​EMA Cloud (Trend Analysis): လက်ရှိ Trend ရဲ့ အတက်အကျ အရှိန်အဟုန်ကို ခွဲခြားနိုင်ခြင်း။ ​🎯 အသုံးပြုသူများအတွက် အကြံပြုချက် ​ဒီ Tool ဟာ Chart Patterns, RSI, Pivot Points နဲ့ Volume တို့ကို စနစ်တကျ ပေါင်းစပ်သုံးစွဲတတ်သူတွေအတွက် အကောင်းဆုံး လက်နက်တစ်ခု ဖြစ်လာမှာပါ။ စည်းကမ်းရှိတဲ့ Scalper တစ်ယောက်အနေနဲ့ တစ်နေ့တာ အမြတ်ကို ပန်းတိုင်ရောက်အောင် ရှာဖွေရာမှာ ဒီ Indicator က အထိရောက်ဆုံး ကူညီပေးပါလိမ့်မယ်။ ​📩 ဆက်သွယ်ရန် (Contact Info) ဒီ Indicator ရဲ့ အသုံးပြုပုံအသေးစိတ်နဲ့ အလုပ်လုပ်ပုံ နည်းစနစ်တွေကို ပိုမိုစိတ်ဝင်စားလို့ မေးမြန်းချင်တယ်ဆိုရင်တော့ ကျွန်တော့်ရဲ့ Email ဖြစ်တဲ့ jdmoon7@gmail.com ကနေတစ်ဆင့် တိုက်ရိုက်ဆက်သွယ် မေးမြန်းနိုင်ပါတယ်ခင်ဗျာ။
Wskaźnik Pine Script®
od JDMoon
Lipsius Pure Momentum (1m/5m/15m/1h)Description: Overview This script provides a complete, mechanical scalping strategy designed for 5m, 10m, and 15m timeframes. It combines trend filtering with momentum confirmation to identify high-probability entries while keeping you out of choppy markets. It features a Real-Time Dashboard that tells you the current market state at a glance: Bullish, Bearish, or Neutral. How it Works (The Logic) The strategy is built on three core pillars: EMA 200 (Trend): Determines the long-term direction. VWAP (Volume/Value): Acts as the dynamic "fair value" level. RSI (Momentum): Measures the strength of the move. Entry Rules LONG Signal (Green 'L'): Price must be ABOVE both the EMA 200 and the VWAP. RSI must be healthy (oversold enough to have room to grow). Trigger: RSI crosses above the 50-line. SHORT Signal (Red 'S'): Price must be BELOW both the EMA 200 and the VWAP. RSI must be healthy (not already oversold). Trigger: RSI crosses below the 50-line. NO TRADE (Neutral): If the price is trapped between the EMA and VWAP, the dashboard will show NEUTRAL. This is a chop zone—do not trade. Features Asset Class Switcher: Select "Crypto" (uses standard Volume VWAP) or "Forex" (uses a fallback calculation if volume data is missing) in the settings. Live Dashboard: Displays the status of the EMA, VWAP, RSI, and the final Trading Bias (Seek Long / Seek Short). Timeframe Monitor: The dashboard warns you (Orange color) if you are not on the recommended 5m, 10m, or 15m charts. Settings EMA Length: 200 (Default) RSI Length: 14 (Default) Asset Class: Toggle between Crypto and Forex.
Wskaźnik Pine Script®
od michaellip0172
NQ Magic Hour Pro# NQ Magic Hour Pro ## ⚠️ NQ FUTURES ONLY - NOT FOR OTHER INSTRUMENTS **This indicator is specifically designed and calibrated for NQ (E-mini Nasdaq-100) futures only.** The probability statistics are hardcoded from a 6-year NQ-specific backtest (2020-2025, 1,546 sessions). **Do NOT use this indicator on ES, MES, YM, RTY, or any other instruments** - the probabilities will not be accurate and may lead to incorrect trading decisions. --- ## Overview NQ Magic Hour Pro is a probability-based mean reversion trading indicator built exclusively on NQ futures backtest data. The indicator identifies high-probability reversion setups based on pre-market range analysis during the "Magic Hour" (7:00-8:00 AM ET). **Core Concept:** - Captures 7:00-8:00 AM ET pre-market range (high/low/midpoint) - Classifies range size: Below Average (<0.24%) vs Above Average (>0.24%) - Projects extension levels (25%, 50%, 75%, 100%) with NQ-specific historical reversion probabilities - Identifies optimal trading windows based on time-based edge decay **NQ-Specific Probability Framework:** - **Golden Window (8:00-9:00 AM):** 79-85% reversion probability (below-avg ranges) - **Medium Window (9:00-10:00 AM):** 56-73% probability - **Dead Zone (10:00+ AM):** 21-35% probability (avoid trading) *These probabilities are derived from NQ futures data only and may not apply to other instruments.* ## Key Features ✅ **Visual Levels:** Displays magic hour range with color-coded extension levels - Green (Lime): High probability (79-85%) - Orange: Medium probability (52-73%) - Red: Low probability (<52%) ✅ **Real-Time Dashboard:** Shows current range classification, time window, reversion probabilities, and tier classification (based on NQ data) ✅ **Time-Based Alerts:** Warns when entering Dead Zone (edge decay) ✅ **Fully Customizable Display:** - Adjustable colors for all lines and boxes - Label text size options (Tiny/Small/Normal/Large) - Toggle visibility for any component ✅ **Session History:** Optional keeping of last 10 sessions for pattern recognition ✅ **Performance Optimized:** Smart object reuse system prevents hitting TradingView limits ## Settings Overview **Session Settings:** - Timezone (default: America/New_York) - Magic Hour start time (default: 7:00 AM, adjustable 0-23) - Monitoring window duration (default: 3 hours) **Display Options:** - Toggle dashboard, hour box, window box, key levels - Show/hide probability labels - Dark/Light dashboard theme - Keep history (last 10 sessions) **Extension Levels:** - Enable/disable 25%, 50%, 75%, 100% extensions individually - Useful for focusing on high-probability setups only **Line Colors (Fully Customizable):** - High/Low/Mid line color - Golden zone color (below-avg 25% extensions) - Medium zone color (50% extensions, above-avg 25%) - Low probability color (75%, 100% extensions) **Box Colors (Fully Customizable):** - Magic Hour Box (Below Avg) - default green - Magic Hour Box (Above Avg) - default orange - Window Box Color - default purple **Label Settings:** - Text size: Tiny, Small, Normal, or Large - Adjustable for visibility on different screen sizes **Alerts:** - Golden setup alert (79%+ probability on NQ) - Dead zone alert (10:00 AM edge decay warning) ## How to Use (NQ Futures Only) 1. **Apply to NQ chart only** (NQ1!, MNQ1! for micro, or your broker's NQ symbol) 2. **Range Classification:** After 8:00 AM ET, check dashboard "Range Size" (BELOW AVG = higher probability) 3. **Time Window:** Trade during Golden (8-9 AM) or Medium (9-10 AM) windows only 4. **Entry Setup:** Wait for price to sweep 25% or 50% extension levels 5. **Target:** Mean reversion to magic hour range (high/low/mid) 6. **Avoid:** Trading after 10:00 AM when edge drops to 21-35% **Highest Probability NQ Trades:** - Below-average range + Golden window (8-9 AM) + 25% extension sweep = 79-85% reversion probability - Use dashboard "Classification" to identify Tier 1 (Golden) setups **Recommended Timeframes:** 1-minute, 5-minute, or 15-minute charts ## Important Risk Disclaimer ⚠️ **THIS INDICATOR IS FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY** **NQ-Specific Limitations:** - **THIS INDICATOR IS CALIBRATED FOR NQ FUTURES ONLY** - probabilities are hardcoded from NQ backtest data - **DO NOT USE ON OTHER INSTRUMENTS** (ES, MES, YM, RTY, stocks, crypto, etc.) - statistics will be inaccurate - Even on NQ, past performance does not guarantee future results - Market regime changes may cause historical probabilities to become invalid - Probabilities are based on 2020-2025 backtest data and may not reflect current conditions **General Trading Risks:** - Trading futures involves substantial risk of loss and is not suitable for all investors - This indicator does not constitute financial advice, investment advice, or trading advice - Users are solely responsible for their own trading decisions and risk management - The creator assumes no liability for trading losses incurred using this indicator - Always use proper position sizing, stop losses, and risk management - Consult a licensed financial advisor before making any trading decisions **Before Using This Indicator:** 1. Understand that this is NQ-specific - not applicable to other markets 2. Paper trade for at least 30 days to verify edge still exists 3. Confirm probabilities match your forward testing results 4. Have a written trading plan with entry/exit rules 5. Never override your stop loss based on "high probability" setups ## Technical Specifications - **Instrument:** NQ (E-mini Nasdaq-100 futures) ONLY - **Timeframe:** All intraday timeframes (1m, 5m recommended) - **Timezone:** America/New_York (ET) - adjustable - **Session:** Pre-market + Regular hours (7:00 AM - market close) - **Data:** Based on 1,546 NQ sessions (2020-2025) - **Object Management:** Ring buffer system (max 10 sessions in history) - **Performance:** Optimized for low-latency updates ## Version History **Version 1.0** (Initial Release) - NQ-specific probability framework - Real-time dashboard with tier classification - Customizable colors and label sizes - Object reuse optimization - Golden setup and dead zone alerts --- **Developed by:** Constantin **Based on:** NQ futures mean reversion research (2020-2025, 1,546 sessions) **Indicator Type:** Mean Reversion / Range-Based **Asset Class:** Futures (NQ only) --- ## FAQ **Q: Can I use this on ES or MES?** A: No. The probabilities are hardcoded from NQ data only. Using on other instruments will give inaccurate probability readings. **Q: Why is it NQ-only?** A: The backtest statistics (79%, 85%, etc.) are specific to NQ's volatility profile, contract specifications, and market structure. Each instrument has different characteristics. **Q: Will you create versions for other instruments?** A: Potentially in the future, but each instrument requires its own 6-year backtest to calibrate accurate probabilities. **Q: What if the probabilities stop working?** A: Market regimes change. Always forward test and monitor actual vs expected win rates. If results deviate >10%, stop using the indicator and reassess. **Q: Can I use this for day trading?** A: Yes, it's designed for intraday NQ trading during the morning session (7:00 AM - 11:00 AM ET). --- For questions, feedback, or to report issues, please comment below or contact via TradingView messages. **Remember: Trade NQ only with proper risk management. This indicator is a tool, not a guarantee.**
Wskaźnik Pine Script®
od const
1
Malaysian SNR Storyline MTFThis indicator visualizes the Malaysian Support and Resistance (SNR) trading methodology by drawing the market's "storyline" - a visual representation of trend structure showing both external (main) and internal (pullback) trends. 🎯 What It Does The indicator analyzes price action by comparing consecutive candle closes to determine trend direction. It distinguishes between: External Trends - Main trend movements (solid lines) Internal Trends - Pullbacks within the main trend (dashed lines) Trend Changes - Horizontal lines marking where the storyline shifted direction ⏱️ Multi-Timeframe Support Analyze the storyline from any timeframe while viewing your preferred chart timeframe. Simply select your desired timeframe from the dropdown - leave it on "Chart" to use the current chart's timeframe. 📊 Features Multi-timeframe analysis - view higher timeframe structure on lower timeframe charts Automatic detection of external vs internal trends Trend change level visualization Customizable colors for uptrends, downtrends, and trend changes Adjustable line widths for external and internal trends Session highlighting (Asian, London, New York) with customizable times and colors Alert functionality for trend changes ⚙️ Settings Timeframe - Select "Chart" or any higher timeframe Bars Lookback - Number of bars to analyze (default: 250) Line Colors - Customize uptrend, downtrend, and trend change colors Line Widths - Separate width settings for external and internal trends Sessions - Toggle and customize Asian, London, and New York session overlays 🔔 Alerts Enable alerts to get notified when the storyline changes direction. The alert sends a JSON payload containing the event type and symbol. 📖 How To Use Green lines = Uptrend (bullish storyline) Red lines = Downtrend (bearish storyline) Solid lines = External (main) trend Dashed lines = Internal (pullback) trend Orange horizontal lines = Trend change levels Use the storyline to identify the current market structure and potential reversal points. Internal trends that fail to break the external trend's origin often signal continuation of the main trend. 💡 Tip Combine multiple timeframes by adding the indicator twice with different timeframe settings to see both the higher timeframe structure and current timeframe storyline simultaneously.
Wskaźnik Pine Script®
od trading-guide
Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Wskaźnik Pine Script®
od neeson1987
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator Overview The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals. Integration Rationale & Component Synergy 1. Dual EMA Trend System + Stochastic RSI Convergence Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength. Synergy Mechanism: The dual EMA system (12/25 periods) identifies primary trend direction Stochastic RSI (14-period) provides overbought/oversold readings within that trend Trend signals are only confirmed when both systems align, reducing whipsaws EMA crossovers provide entry signals, while Stochastic RSI validates momentum 2. MA Filter Integration Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction. Synergy Mechanism: 200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark Long positions only triggered above 200-MA in bullish trends Short positions only triggered below 200-MA in bearish trends Provides multi-timeframe confirmation to intraday signals 3. Background Highlight System Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions. Synergy Mechanism: Background colors highlight Stochastic RSI events without cluttering price chart Different colors for different signal types (middle cross, overbought/oversold, level breaks) Works in parallel with other systems, providing additional context without interference Component Functions & Operational Principles Core Components: Dual EMA System Fast EMA (12): Quick trend changes Slow EMA (25): Confirmed trend direction Mode: Switchable between dual EMA display and single EMA Signal generation based on EMA positioning and consecutive bars Stochastic RSI System Combines RSI momentum with stochastic oscillator principles Triple-smoothed (RSI → Stochastic → K/D smoothing) Predefined levels: 80 (overbought), 50 (middle), 20 (oversold) Multiple cross types for different market conditions Signal Generation Logic Consecutive count mechanism for trend persistence "B" signals: Initial bullish EMA alignment "S" signals: Initial bearish EMA alignment Candlestick coloring for visual trend representation Alert Systems EMA cross alerts for major trend changes Stochastic RSI cross alerts for momentum shifts Separate alerts for different signal categories Practical Usage Guidelines For Trend Traders: Primary Trend Identification: Use EMA positioning relative to 200-MA Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment Trend Continuation: Monitor consecutive bar counts and candlestick colors Exit Signals: Watch for opposing signals or Stochastic RSI divergence For Range/Swing Traders: Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80) Middle Crosses: Stochastic RSI crosses around 50 level EMA Filter: Use 200-MA as support/resistance reference Customization Options: Adjust EMA periods for different trading styles Modify Stochastic RSI parameters for sensitivity Enable/disable background highlights based on preference Select MA type and period for trend filtering Originality & Unique Features Distinctive Integration: Consecutive Count System: Tracks trend persistence beyond simple crossovers Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights Flexible EMA Modes: Switch between dual and single EMA displays Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation Practical Design Choices: Color Scheme: Blue for bullish, orange for bearish (clear differentiation) Signal Prioritization: Initial signals marked with letters, trends with colors Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter) Clean Visualization: Information-rich display without chart clutter Important Disclaimers & Limitations Realistic Expectations: This indicator provides signals, not guarantees All technical indicators have inherent lag Market conditions change; no system works perfectly in all environments Cryptocurrency markets exhibit high volatility and unpredictable behavior Proper Usage: Never rely solely on one indicator for trading decisions Always use appropriate risk management and position sizing Consider fundamental factors and market context Test thoroughly on historical data before live implementation Adjust parameters to match specific cryptocurrency pairs and timeframes Development Philosophy This indicator was developed with these principles: Evidence-Based: Components based on widely researched technical concepts Practical Focus: Designed for actual trading use, not theoretical perfection User-Centric: Customizable to individual preferences and trading styles Transparent: Clear logic without "black box" calculations Final Recommendations For optimal results: Start with default parameters on major cryptocurrency pairs (BTC, ETH) Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles Use higher timeframes (4H, Daily) for primary trend analysis Combine with volume analysis and market structure for confirmation Regularly review and adjust settings as market conditions evolve The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Wskaźnik Pine Script®
od neeson1987
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader ) Overview Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens. The Problem It Solves Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow. How It Works Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy. Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity. Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze. Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze. Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal. Key Features No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking. Squeeze Logic: Prevents you from overtrading in a "dead" market. Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders. Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes. How to Trade with This Indicator Step 1 (The Wait): Wait for the gray background (Squeeze). Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings. Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears. Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio. Settings Explained Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother. Squeeze Length: Default is 20. Controls how sensitive the sideways detection is. Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity. Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
Wskaźnik Pine Script®
od hermanwomsiwor
JD Moon Scalping Nakedမင်္ဂလာပါ၊ ကျွန်တော် JD MOON ပါ။ ​JD MOON Scalping Indicator ဆိုတာကတော့ 15-Minute Opening Range ကို အခြေခံပြီး ဈေးကွက်ရဲ့ Breakout အခွင့်အလမ်းတွေကို အမိအရ ဖမ်းယူနိုင်ဖို့ ဖန်တီးထားတဲ့ Indicator တစ်ခု ဖြစ်ပါတယ်။ ​💡 တွေးခေါ်မြော်မြင်မှုနှင့် ရည်ရွယ်ချက် (Methodology) ​ဒီ Indicator ကို Scalping အတွက် အဓိက ရည်ရွယ်ပြီး ဖန်တီးထားတာ ဖြစ်ပေမယ့်၊ Indicator တစ်ခုတည်းကို မျက်စိမှိတ် အားကိုးဖို့ မဟုတ်ပါဘူး။ ခိုင်မာတဲ့ Price Action နည်းစနစ်တွေနဲ့ ပေါင်းစပ်အသုံးပြုဖို့ ဒီဇိုင်းထုတ်ထားတာ ဖြစ်ပါတယ်။ တစ်ရက်တာရဲ့ Daily Range Box အတွင်းမှာ အမြတ်အစွန်း ရှာဖွေနိုင်ဖို့အတွက် အောက်ပါ Tools တွေကို တစ်နေရာတည်းမှာ စုစည်းပေးထားပါတယ်- (က)​ 15m Opening Range Box: ဈေးကွက်အဖွင့် ၁၅ မိနစ်ရဲ့ High/Low ကို အခြေခံပြီး Breakout ကို စောင့်ကြည့်နိုင်ခြင်း။ (ခ) Daily Range Analysis: မနေ့က High/Low (Yesterday Box) ကို ကြည့်ပြီး ယနေ့ဈေးကွက်ရဲ့ အလားအလာကို ခန့်မှန်းနိုင်ခြင်း။ ​ (ဂ) Pivot Points (R1-R5, S1-S5): အဓိက ကျရောက်နိုင်တဲ့ Support နဲ့ Resistance Levels တွေကို ကြိုတင်မြင်တွေ့နိုင်ခြင်း။ ​(ဃ) Volume & RSI Dashboard: ဈေးကွက်ရဲ့ အင်အား (Strength) နဲ့ Volume အခြေအနေကို Real-time စစ်ဆေးနိုင်ခြင်း။ ​🎯 အသုံးပြုသူများအတွက် အကြံပြုချက် ​ ဒီ Tool ဟာ Chart Patterns, RSI, Pivot Points နဲ့ Volume တို့ကို စနစ်တကျ ပေါင်းစပ်သုံးစွဲ တတ်သူတွေအတွက် အကောင်းဆုံး လက်နက်တစ်ခု ဖြစ်လာမှာပါ။ စည်းကမ်းရှိတဲ့ Scalper တစ်ယောက်အနေနဲ့ တစ်နေ့တာ အမြတ်ကို ပန်းတိုင်ရောက်အောင် ရှာဖွေရာမှာ ဒီ Indicator က အထိရောက်ဆုံး ကူညီပေးပါလိမ့်မယ်။ ​📩 ဆက်သွယ်ရန် (Contact Info) ဒီ Indicator ရဲ့ အသုံးပြုပုံအသေးစိတ်နဲ့ အလုပ်လုပ်ပုံ နည်းစနစ်တွေကို ပိုမိုစိတ်ဝင်စားလို့ မေးမြန်းချင်တယ်ဆိုရင်တော့ ကျွန်တော့်ရဲ့ Email ဖြစ်တဲ့ jdmoon7@gmail.com ကနေတစ်ဆင့် တိုက်ရိုက်ဆက်သွယ် မေးမြန်းနိုင်ပါတယ်ခင်ဗျာ။
Wskaźnik Pine Script®
od JDMoon
IB Zone Volume DistributionThis Pine Script indicator analyzes volume distribution within the first 15-minute Initial Balance (IB) period of the New York trading session. It is designed to activate only after the 9:45 AM ET close of the IB, performing a one-time historical analysis. The core function calculates the total volume traded and distributes it across three defined areas: the top 20%, the bottom 20%, and the middle section of the IB range. Results, including the IB High/Low and zone volume percentages, are displayed in a concise data table on the chart. The purpose is to provide a clear, non-real-time view of where the most volume was transacted during the session's opening minutes.
Wskaźnik Pine Script®
od aungkhaingphyo000
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence. The EMAs used are EMA 9, EMA 12 and EMA 20. When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal. The way to use it is to apply it onto the Pine Screener. You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan. If Condition is True, the candlesticks would have a green arrow below and the background is highlighted. The script is published, feel free to amend it as you like Have a Nice Day, and Trade Safe !
Wskaźnik Pine Script®
od IM_KTD_
XAUUSD - Scalping [ChartCode]📈 HOW TO TRADE *XAUUSD – Scalping * This is a **rule-based intraday scalping system** built on: * Trend + Correlation * VWAP positioning * Institutional candles * Volume confirmation Best for **XAUUSD (Gold)** on **M5 / M15**. --- ⏰ BEST TRADING SESSIONS Trade ONLY during **high-liquidity hours**: * **London Session** * **New York Session** ❌ Avoid Asian session (low volatility for Gold) --- 🟢 BUY (LONG) SETUP You buy **ONLY when ALL conditions align**: 1️⃣ Trend Confirmation (Top Label) * Label shows: **BULLISH (CONFIRMED)** * Meaning: * Price > EMA 20 > EMA 50 * DXY is weak (Dollar falling) 2️⃣ VWAP Position * Price is **above VWAP** * VWAP acting as **support** 3️⃣ EMA Alignment * EMA 9 > EMA 20 > EMA 50 * Clean bullish structure (no crossing mess) 4️⃣ Institutional Candle (Yellow Border) * Bullish candle * Appears near: * VWAP * EMA 20 / EMA 50 * Shows **smart money entry** 5️⃣ Volume Confirmation * Blue background appears * Means **above-average volume** 6️⃣ Correlation Filter * Correlation label is **negative** * Ideally: `Corr < -0.3` * Confirms **Gold ↑ when DXY ↓** --- 🔔 ENTRY * Enter **BUY at candle close** * Or on **VWAP retest dot (green circle)** --- 🛑 STOP LOSS * Below: * VWAP **OR** * Institutional candle low * Typical SL: **5–8 points (Gold scalping)** --- 🎯 TARGET * First target: **+1R** * Second target: * Previous high * Or trail using EMA 9 --- 🔴 SELL (SHORT) SETUP Exact opposite rules 👇 Conditions: * **BEARISH (CONFIRMED)** label * Price **below VWAP** * EMA 9 < EMA 20 < EMA 50 * Bearish institutional candle * High volume (blue background) * Correlation negative * Red triangle or VWAP retest dot --- 🛑 STOP LOSS * Above VWAP or institutional candle high --- 🎯 TARGET * Previous low * Or trail using EMA 9 --- ❌ WHEN NOT TO TRADE * Trend label shows **RANGE / NO CONFIRM** * Price chopping around VWAP * Correlation close to `0` * Low volume (no blue background) * News time (USD CPI, NFP, FOMC) --- 🧠 RISK MANAGEMENT (VERY IMPORTANT) * Risk **max 1% per trade** * Max **2–3 trades per session** * Skip trades after **2 losses** --- 🔥 PRO TIP (Edge Booster) Best trades happen when: * London high or low is broken * VWAP retest happens with volume * DXY makes opposite structure That’s where **institutions step in**.
Wskaźnik Pine Script®
od Chart_Code
JD MOON - Price Action Only Indicator​JD MOON - Pure Price Action Edition ​I am JD Moon, and this is my specialized indicator for Pure Price Action Trading. ​This version is purposefully designed to be clean and distraction-free by removing all moving averages. It focuses entirely on providing the essential data needed for professional Price Action, Chart Pattern, and Candlestick analysis. By integrating the Previous Daily Price Range with key technical metrics, it allows traders to identify high-probability zones without cluttering the chart. ​Core Objectives: ​Previous Daily Range Visualization: Instantly identify the boundaries of the previous day's price action to spot breakouts or mean reversion opportunities. ​Pivot Point Strategy: High-precision R1-R5 and S1-S5 levels to determine intraday targets and reversal zones. ​Minimalist Dashboard: Compact RSI and Volume monitoring (formatted to 2 decimal places) for maximum screen real estate. ​Clean Chart Focus: Specifically built for traders who rely on Pure Price Action, Chart Patterns, and Candlestick formations rather than lagging indicators. ​Usage Recommendations: This indicator is a powerful tool when combined with a deep understanding of market structure. It is optimized for the Crypto market and serves as a robust support for your trading system. ​Contact Information: For more insights into my Price Action strategies or technical support, please reach out at: jdmoon7@gmail.com
Wskaźnik Pine Script®
od JDMoon
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.
Wskaźnik Pine Script®
od neeson1987
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
Wskaźnik Pine Script®
od jordanboneal31