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Aktien Spike Detector by DavidDescription: This indicator marks the daily high and low on the chart and provides a visual and audible alert whenever the current price touches either of these levels. Additionally, the indicator highlights the candlestick that reaches the daily high or low to quickly identify significant market movements or potential reversal points. Features: 📈 Daily high and low are automatically calculated and displayed as lines on the chart. 🔔 Alert notification when the price touches the daily high or low. 🕯️ Highlighting of the touch candlestick (e.g., color-coded) for better visual orientation. 💡 Ideal for traders trading breakouts, rejections, or intraday reversals. Areas of application: Perfect for day traders, scalpers, and intraday analysts who want to see precisely when the market reaches key daily levels.
אינדיקטור Pine Script®
מאת ‎dfce82‎
Elliott Wave (𝐒𝐓𝐄𝐄𝐋 𝐂𝐈𝐓𝐘 𝐂𝐑𝐄𝐀𝐓𝐎𝐑𝐒)This indicator provides a rules-based helper for visually identifying potential Elliott Wave patterns — including 1–5 impulse structures and optional A–B–C corrective moves. It automatically detects pivot highs/lows using the user-defined left/right swing settings and connects them with a ZigZag line filtered by either ATR or percentage change to reduce market noise. When a valid 5-wave impulse structure is found (either bullish or bearish), the indicator labels waves 1–5 on the chart. After completion of the fifth wave, it optionally monitors for an A–B–C corrective pattern and labels those points when detected. Alerts are generated when an impulse or correction is confirmed. Features ✅ Automatic pivot detection using configurable left/right swing bars. ✅ ATR or %-based swing filter to avoid small fluctuations. ✅ ZigZag plotting to visualize price structure. ✅ Automatic labeling of potential Elliott impulse waves (1–5). ✅ Optional A–B–C correction detection after wave 5. ✅ Alerts when impulses and corrections complete. ✅ Customizable visuals (colors, sensitivity, pivot length). ✅ Works on all symbols and timeframes. Usage Tips For best results, use larger timeframes (e.g., 1H–1D) where Elliott structures are cleaner. Adjust Pivot Left/Right and ATR Multiplier for your chart’s volatility. Remember: Elliott Wave theory is interpretive — this tool provides objective swing logic to assist manual analysis, not a guaranteed automatic wave count.
אינדיקטור Pine Script®
מאת ‎STEEL-CITY-CREATORS‎
5
Dammu AI PROType & Purpose Multi-functional trend, swing, and smart money concept indicator. Combines SuperTrend, SMA, ATR-based risk management, swing structures, order blocks, EQH/EQL, and Fair Value Gaps (FVG). Designed for identifying trends, entries/exits, and support/resistance zones. 2. Trend Detection SuperTrend with ATR smoothing (nsensitivity*7 factor) for buy/sell signals. SMA filter (8 & 9 periods) confirms trend strength. Bar color changes: Green if close > supertrend. Red if close < supertrend. Cirrus Cloud highlights trend zones with semi-transparent colors. 3. Swing & Structure Detects pivot highs/lows and labels them as HH/LH (Highs), HL/LL (Lows). Generates BOS (Break of Structure) and CHoCH (Change of Character) signals. Internal swing structures and order blocks for short-term intraday moves. 4. Order Blocks Internal Order Blocks (iOBs) and Swing Order Blocks (OBs). Boxes drawn for bullish/bearish zones. Auto-delete when broken. Option to filter blocks by ATR or Cumulative Mean Range. 5. Risk Management TP/SL levels based on ATR and user-defined % risk. Shows lines and labels for: Entry Stop Loss TP1, TP2, TP3 Adjustable line style (solid/dashed/dotted). 6. Fair Value Gaps (FVG) Highlights bullish and bearish gaps. Option for auto-threshold filtering. Extendable FVG boxes. 7. EQH/EQL Detects Equal Highs (EQH) and Equal Lows (EQL) for potential reversals. Dotted lines with labels. 8. Smart Money Concepts (SMC) Features Shows: Swings (internal & swing structure) Internal order blocks Premium/Discount zones Fair Value Gaps Highs/Lows from previous day/week/month Configurable for historical vs present display. 9. Alerts Buy/Sell triggers: bull = crossover of close above SuperTrend. bear = crossunder of close below SuperTrend. Alerts for BOS/CHoCH, EQH/EQL, and OB breaks. 10. Visualization Trend clouds, colored bars, SMA markers, SuperTrend labels. Multi-layered info displayed without cluttering the chart. Customizable colors, line styles, and transparency. ✅ Summary: This indicator is a comprehensive trading tool for trend detection, swing structure, order block analysis, and risk management. It’s built for smart money and SMC-based trading, offering visual cues and alerts for key trading decisions.
אינדיקטור Pine Script®
מאת ‎dammucool‎
Matt Market EfficiencyThis is a custom Pine Script v5 indicator for TradingView that creates a Market Efficiency Heatmap as a background overlay on your chart. It visualizes how "efficient" the market's price movement is over a specified period—essentially measuring how much of the total price volatility (wiggle room) resulted in net directional progress, weighted with volume activity. High efficiency (stronger, less transparent color) indicates a clean trend with minimal wasted movement (e.g., a strong uptrend or downtrend). Low efficiency (fainter color) suggests choppy, inefficient price action (e.g., ranging or noisy market). Color coding: Teal for bullish (net price up), Purple for bearish (net price down). The heatmap intensity scales from 1% opacity (very low efficiency) to 25% opacity (high efficiency), making it subtle yet informative without overwhelming the chart.
אינדיקטור Pine Script®
מאת ‎mattlanders‎
多周期趋势动量面板加强版（Multi-Timeframe Trend Momentum Panel - User Guide）多周期趋势动量面板(Multi-Timeframe Trend Momentum Panel - User Guide)(english explanation follows.) 📖 指标功能详解 (精简版): 🎯 核心功能: 1. 多周期趋势分析 同时监控8个时间周期(1m/5m/15m/1H/4H/D/W/M) 2. 4维度投票系统 MA趋势+RSI动量+MACD+布林带综合判断 3. 全球交易时段 可视化亚洲/伦敦/纽约交易时间 4. 趋势强度评分 0100%量化市场力量 5. 智能警报 强势多空信号自动推送 ________________________________________ 📚 重要名词解释: 🔵 趋势状态 (MA均线分析): 名词 含义 信号强度 强势多头 快MA远高于慢MA(差值≥0.35%) ⭐⭐⭐⭐⭐ 做多 多头倾向 快MA略高于慢MA(差值<0.35%) ⭐⭐⭐ 谨慎做多 震荡 快慢MA缠绕,无明确方向 ⚠️ 观望 空头倾向 快MA略低于慢MA ⭐⭐⭐ 谨慎做空 强势空头 快MA远低于慢MA ⭐⭐⭐⭐⭐ 做空 简单理解: 快MA就像短跑运动员(反应快),慢MA是长跑运动员(稳定)。短跑远超长跑=强势多头,反之=强势空头。 ________________________________________ 🟠 动量状态 (RSI力度分析): 名词 含义 操作建议 动量上攻↗ RSI>60且快速上升 强烈买入信号 动量高位 RSI>60但上升变慢 警惕回调,可减仓 动量中性 RSI在4060之间,平稳 等待方向明确 动量低位 RSI<40但下跌变慢 警惕反弹,可止盈 动量下压↘ RSI<40且快速下降 强烈卖出信号 简单理解: RSI就像汽车速度表。"动量上攻"=油门踩到底加速,"动量高位"=已经很快但不再加速了。 ________________________________________ 🟣 辅助信号: MACD: • MACD多头 = 柱状图>0 = 买方力量强 • MACD空头 = 柱状图<0 = 卖方力量强 布林带(BB): • BB超买 = 价格在布林带上轨附近 = 可能回调 • BB超卖 = 价格在布林带下轨附近 = 可能反弹 • BB中轨 = 价格在中间位置 = 平衡状态 ________________________________________ 💡 快速上手 3步看懂面板: 第1步: 看"综合结论标签" (K线上方) • 绿色"多头占优" → 可以做多 • 红色"空头占优" → 可以做空 • 橙色"震荡/均衡" → 观望 第2步: 看"票数 多/空" (面板最下方) • 多头票数远大于空头 (差距>2) → 趋势强 • 票数接近 (差距<1) → 震荡市 第3步: 看"趋势强度" (综合标签中) • 强度>70% → 强势趋势,可重仓 • 强度5070% → 中等趋势,正常仓位 • 强度<50% → 弱势,轻仓或观望 ________________________________________ 🎨 时段背景色含义: • 紫色背景 = 亚洲时段 (东京交易时间) 波动较小 • 橙色背景 = 伦敦时段 (欧洲交易时间) 波动增大 • 蓝色背景 = 纽约凌晨 美盘准备阶段 • 红色背景 = 纽约关键5分钟 (09:3009:35) ⚠️ 最重要! 市场最活跃,趋势易形成 • 绿色背景 = 纽约上午后段 延续早盘趋势 交易建议: 重点关注红色关键时段,这5分钟往往决定全天方向! ________________________________________ ⚙️ 三大市场推荐设置 🥇 黄金: Hull MA 12/EMA 34, 阈值0.250.35% ₿ 比特币: EMA 21/EMA 55, 阈值0.801.20% 💎 以太坊: TEMA 21/EMA 55, 阈值0.600.80% 参数优化建议 黄金 (XAUUSD) 快速MA: Hull MA 12 (超灵敏捕捉黄金快速波动) 慢速MA: EMA 34 (斐波那契数列) RSI周期: 9 (加快反应) 强趋势阈值: 0.25% 周期: 5, 15, 60, 240, 1440 比特币 (BTCUSD) 快速MA: EMA 21 慢速MA: EMA 55 RSI周期: 14 强趋势阈值: 0.8% (波动大,阈值需提高) 周期: 15, 60, 240, D, W 外汇 EUR/USD 快速MA: TEMA 10 (快速响应) 慢速MA: T3 30, 因子0.7 (平滑噪音) RSI周期: 14 强趋势阈值: 0.08% (外汇波动小) 周期: 5, 15, 60, 240, 1440 📖 Indicator Function Details (Concise Version): 🎯 Core Functions: 1. MultiTimeframe Trend Analysis Monitors 8 timeframes simultaneously (1m/5m/15m/1H/4H/D/W/M) 2. 4Dimensional Voting System Comprehensive judgment based on MA trend + RSI momentum + MACD + Bollinger Bands 3. Global Trading Sessions Visualizes Asia/London/New York trading hours 4. Trend Strength Score Quantifies market strength from 0100% 5. Smart Alerts Automatically pushes strong bullish/bearish signals 📚 Key Term Explanations: 🔵 Trend Status (MA Analysis): | Term | Meaning | Signal Strength | | | | | | Strong Bull | Fast MA significantly > Slow MA (Diff ≥0.35%) | ⭐⭐⭐⭐⭐ Long | | Bullish Bias | Fast MA slightly > Slow MA (Diff <0.35%) | ⭐⭐⭐ Caution Long | | Ranging | MAs intertwined, no clear direction | ⚠️ Wait & See | | Bearish Bias | Fast MA slightly < Slow MA | ⭐⭐⭐ Caution Short | | Strong Bear | Fast MA significantly < Slow MA | ⭐⭐⭐⭐⭐ Short | Simple Understanding: Fast MA = sprinter (fast reaction), Slow MA = longdistance runner (stable). Sprinter far ahead = Strong Bull, opposite = Strong Bear. 🟠 Momentum Status (RSI Analysis): | Term | Meaning | Trading Suggestion | | | | | | Momentum Up ↗ | RSI >60 & rising rapidly | Strong Buy Signal | | Momentum High | RSI >60 but rising slower | Watch for pullback, consider reducing position | | Momentum Neutral | RSI between 4060, stable | Wait for clearer direction | | Momentum Low | RSI <40 but falling slower | Watch for rebound, consider taking profit | | Momentum Down ↘ | RSI <40 & falling rapidly | Strong Sell Signal | Simple Understanding: RSI = car speedometer. "Momentum Up" = full throttle acceleration, "Momentum High" = already fast but not accelerating further. 🟣 Auxiliary Signals: MACD: MACD Bullish = Histogram >0 = Strong buyer power MACD Bearish = Histogram <0 = Strong seller power Bollinger Bands (BB): BB Overbought = Price near upper band = Possible pullback BB Oversold = Price near lower band = Possible rebound BB Middle = Price near middle band = Balanced state 💡 Quick Start 3 Steps to Understand the Panel: Step 1: Check "Composite Conclusion Label" (Above the chart) Green "Bulls Favored" → Consider Long Red "Bears Favored" → Consider Short Orange "Ranging/Balanced" → Wait & See Step 2: Check "Votes Bull/Bear" (Bottom of the panel) Bull votes significantly > Bear votes (Difference >2) → Strong Trend Votes close (Difference <1) → Ranging Market Step 3: Check "Trend Strength" (In the composite label) Strength >70% → Strong Trend, consider heavier position Strength 5070% → Moderate Trend, normal position size Strength <50% → Weak Trend, light position or wait & see 🎨 Trading Session Background Color Meanings: Purple = Asian Session (Tokyo hours) Lower volatility Orange = London Session (European hours) Increased volatility Blue = NY Early Morning US session preparation phase Red = NY Critical 5 Minutes (09:3009:35) ⚠️ Most Important! Market most active, trends easily form Green = NY Late Morning Continuation of early session trend Trading Tip: Focus on the red critical period; these 5 minutes often determine the day's direction! ⚙️ Recommended Settings for Three Major Markets 🥇 Gold (XAUUSD): Fast MA: Hull MA 12 (Highly sensitive for gold's fast moves) Slow MA: EMA 34 (Fibonacci number) RSI Period: 9 (Faster reaction) Strong Trend Threshold: 0.25% Timeframes: 5, 15, 60, 240, 1440 ₿ Bitcoin (BTCUSD): Fast MA: EMA 21 Slow MA: EMA 55 RSI Period: 14 Strong Trend Threshold: 0.8% (High volatility, requires higher threshold) Timeframes: 15, 60, 240, D, W 💎 Ethereum (ETHUSD): Fast MA: TEMA 21 Slow MA: EMA 55 RSI Period: 14 Strong Trend Threshold: 0.600.80% Timeframes: 15, 60, 240, D, W 💱 Forex EUR/USD: Fast MA: TEMA 10 (Fast response) Slow MA: T3 30, Factor 0.7 (Smooths noise) RSI Period: 14 Strong Trend Threshold: 0.08% (Forex has low volatility) Timeframes: 5, 15, 60, 240, 1440
אינדיקטור Pine Script®
מאת ‎bifuwang‎
1
Swing High/Low ExtensionsSwing High/Low — Extensions (2 Plots + Drawings + Touch Signal) What it does This indicator finds Swing Highs/Lows using a symmetric length (same bars left & right), then creates horizontal extension levels that run to the right and stop at the first price touch (“extend until future intersection”). It outputs: Two plots showing the most recent active High/Low extension (great for alerts & strategy logic). Line drawings for every detected swing (historical levels stay on the chart and end at the touch bar). A hidden TouchSignal used to color bars and trigger alerts without distorting the price scale. The design mirrors Sierra Chart’s “Swing High and Low” with “Extend Swings Until Future Intersection”, but implemented natively in Pine. How it determines swings Uses ta.pivothigh() / ta.pivotlow() with length bars left and right. A swing is confirmed only after there are length bars to the right of the center. How extensions/lines end High extensions end when High ≥ level. Low extensions end when Low ≤ level. The corresponding line drawing is frozen on the touch bar; the most recent active line continues to extend each new bar. Inputs Swing Strength (Bars Left = Right) – symmetric pivot length. Offset as Percentage – 1 = +1%; positive values push levels outward (High up / Low down), negative pull them inward. Draw “Extend…Until Future Intersection” Lines – toggle line drawings on/off. Line Width (Plots + Drawings) – thickness for plots and drawings. HighExt Color / LowExt Color – colors for the two plots and drawings. Touch Color – color to paint bars on the touch bar (doesn’t affect scale). HighExt/LowExt Line Style – choose line style (Solid/Dashed/Dotted) for drawings. Color Bars on Touch? – enable/disable bar coloring. Bar Color on High Touch / Low Touch – separate bar colors for each side. Bar Color Transparency (0..100) – opacity for the bar painting. Plots HighExt – latest active high extension only. LowExt – latest active low extension only. (Internally there is also a hidden “TouchSignal” plot used for bar coloring & alerts; it’s not displayed to keep the chart scale clean.) Alerts Three built-in alertconditions: Any Extension Touched — triggers when either side is hit. High Extension Touched — only high level touch. Low Extension Touched — only low level touch. Create alerts from the indicator’s “More” (⋯) menu → Add alert → choose one of the conditions. Styling Drawings use your selected style (Solid/Dashed/Dotted), color, and width. Existing historical lines adopt new styles when the script recalculates. Bar coloring highlights the exact touch candle; disable it if you prefer clean candles. Notes & tips Scale-safe: the TouchSignal is hidden (display=none), so it won’t distort the Y-axis. Performance: TradingView limits scripts to ~500 line objects; this script uses max_lines_count=500. If you hit the cap on long histories, either increase timeframe or disable drawings and rely on the two plots + alerts. Works on any symbol/timeframe; levels are rounded to the instrument’s minimum tick. Intended use For discretionary levels, alerting, and rule-based entries that react to first touch of recent swing extensions. Not financial advice—use at your own risk.
אינדיקטור Pine Script®
מאת ‎p_zerbst‎
Buy/Sell Signals [WynTrader]My name is WynTrader. I cumulate 24 years of experience. This Indicator produces Buy/Sell Signals using these features: - Fast and Slow Moving averages (modifiable) optimized at EMA-8 and SMA-35 - Bollinger Bands (modifiable) optimized at Basis-18 and Multiplier-1 Also, the Buy/Sell Signals are conditioned by three Filters (optionable, modifiable) : . Bollinger-Bands Lookback . High-Low vs Candle Range % . Distance from Fast and Slow Moving averages % The Results Calculation presented in a Table are based : - on the Current Chart Visible Range (optionable) or - on the specified TIme Frame Start and End Dates (modifiable) The Table shows Calculation Results of the Buy and Sell Signals that are activated on the chart, with the Number of Trades (Signals), the Winning Points and the Win Rate %. The Buy&Hold starts calculation at the first Buy encountered. So be surprised by my Buy/Sell Indicator. But always remember that the world is not perfect. The Graal Indicator, even with AI, doesn't already exist, maybe one day (all of us richier...), but not now. , depending on the chart product (stocks...), volatility, probabilities, unpredictable behaviour. , the moves, etc. Enjoy WynTrader P. s. : My name is WynTrader. I cumulate 24 years of experience. In 2001, I took an intensive technical analysis course taught by an exceptional friend, Cyril, who taught me everything I know. The foundation I gained through his teaching remains solid and relevant to this day, never failing me. Before i made this Indicator, I have used many Trading View Buy/Sell Indicators using alone or combined RSI, SMI, OBV, MACD ATR, ADX, Neural, Fractal, Geometry, etc., that are already available for the Trading View community. A great thanks to those who give their time that help me build this tool. Note that I'm not a programmer, so... ;-)
אינדיקטור Pine Script®
מאת ‎Wyn-Trader‎
1
BTC Flow Dashboard : Spot Premium + OI + Funding + Cycle SignalsSpot Premium vs Perpetual Basket (%): Tracks how aggressively perps are trading relative to spot, a leading indicator of speculative activity and leverage buildup. Aggregated Open Interest Z-Score: A normalized view of OI expansion/contraction across major exchanges (Binance, BitMEX, Bybit, Kraken, etc.), highlighting when leverage enters overheated zones. Composite Funding Rate Analysis: Calculates a TWAP-smoothed funding composite across major venues, with optional APR scaling, showing where perpetual markets are paying for long or short exposure. Confluence Signal Engine: Dynamically flags bullish or bearish market conditions based on premium behavior and leverage environment — including over-leverage warnings that often precede volatility spikes. Extreme Cycle Tops & Bottoms (Experimental): Optional signal module that highlights historically significant extremes (e.g., 2020 bottom or 2021 top) based on statistical Z-score thresholds across the three core metrics. Notes & Tips Works best on weekly or monthly timeframes for macro cycle analysis. Daily and 3D views provide short-term leverage context but may produce more frequent signals. The Extreme Signal Engine is experimental — not a trading signal on its own, but a contextual tool to support macro decision-making.
אינדיקטור Pine Script®
מאת ‎FIRE_CRYPTO‎
Swing Breakout Strategy — Candles + Divergences + Patterns (rev)Overview A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers. Core Logic Trend filter: SMA(50) vs SMA(200) + price vs SMA(21). Breakout engine: Close breaks prior N-bar high/low (lookback configurable). Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50). Volume: Above SMA(volume) filter. Optional Confluence Modules Candlestick analysis (enable/disable): Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors). Divergence (enable/disable): Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL). Chart patterns (enable/disable): Double Bottom (two similar lows + neckline break). Double Top (two similar highs + neckline break). Tolerance and pivot width are configurable. Entries & Exits Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern). Entry Short: Symmetric logic for downside. Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers). Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly. Inputs (key) SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9). Breakout lookback, Volume SMA. ATR exits (on/off, ATR length, SL/TP multipliers). Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers. Plots & Markers Plots SMA 21/50/200. Buy/Sell arrows on chart. Optional debug markers for each condition (global-scope safe). Divergence/pattern markers offset to the actual pivot/neckline bars. Good Practices Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers. Consider using the modules as filters in trending markets to reduce whipsaws. Always forward-test and combine with position sizing. Disclaimer For educational purposes only. This is not financial advice. Trading involves risk. Version & Credits Pine Script® v6 — Strategy. Developed by: Mohammed Bedaiwi.
אסטרטגיית Pine Script®
מאת ‎mbedaiwi2‎
Hellenic EMA Matrix - Α Ω PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
אינדיקטור Pine Script®
מאת ‎Sesilya‎
US Construction Spending & Manufacturing Employment YoY % ChangeUsage Notes: Timeframe: Use a monthly chart, as TTLCONS and MANEMP are monthly data. Other timeframes result in interpolation. Data Availability: As of October 2025, TTLCONS is available until July 2025 and MANEMP until August 2025 (automatically via TradingView). The Unsung Heroes: Why C&M Are the True Indicators Imagine the economy is a highly sensitive vehicle. Quarterly reported GDP is like a quarterly glance at the odometer—it's slow, often delayed, and clearly refers to the past. Anyone who wants to predict future developments needs something much faster. This is where construction and manufacturing come into play. These two sectors are the machine builders of the economy and provide us with real-time feedback. They form the backbone of economic forecasting for several important reasons: 1. Monetary policy indicators: Both sectors are highly sensitive to monetary policy developments, such as interest rate changes. If developers are unable to finance large residential or commercial projects and manufacturers postpone capital-intensive factory expansions, for example, declines in construction demand would quickly affect other sectors. 2. The backbone of the secondary sector: These industries constitute the secondary sector of the economy, meaning they are concerned with the actual transformation and production of goods, not just the extraction of raw materials or the provision of intangible services. One could argue that while they only account for about 15% of GDP in the US, their impact is massive and cyclical. 3. The timeliness advantage: Forget quarterly lags. Both construction output and manufacturing employment data are released monthly. This timely, frequent data allows analysts to assess economic momentum much more quickly than if they had to wait for delayed GDP reports. In the US, some analysts have even titled their articles with the bold claim: "Housing construction is the business cycle." Fluctuations in housing construction are frequent and large, and a decline in activity is almost always accompanied by a subsequent decline in GDP.
אינדיקטור Pine Script®
מאת ‎Semtex76‎
NF_PLASMA_SURGE 🧩 NF_PLASMA_SURGE (NightFury Systems) Author: Lachin M. Akhmedov (aka NightFury) ⚙️ A volumetric impulse oscillator detecting real candle energy through body density, directional momentum, and normalized volatility thrust. 🧠 Core Concept: Not another RSI. Not another MACD. NF_PLASMA_SURGE isolates true directional impulse by measuring the physics of price: Body Energy → how much of each candle’s range is real movement. Volume Thrust → amplifies strong participation only. Volatility Normalization → filters emotional spikes and fake momentum. ⚡ Outputs: Toxic Green = Real buy impulse (surge ignition) Red Inferno = Real sell impulse (energy drain) ⚡ marks = Charged bursts detected (|z| > threshold) 💫 Synergy: Designed to integrate with NF_CYBER_FURY as its ignition companion — Cyber powers the reactor; Plasma lights the core. 🧩 Recommended Stack: NF_CYBER_FURY + NF_PLASMA_SURGE = The NightFury Reactor System
אינדיקטור Pine Script®
מאת ‎NightFury89‎
OPEX VIXEX datesUpdated ohlocracy's OPEX script till 2030 These dates are for standard equity, index, and ETF options expiration managed by OCC, with monthly expirations usually on the third Friday and weekly expirations on other Fridays, except holidays which cause adjustments to Thursdays or nearby trading days. Quarterly options expiration dates in the US stock market are on the last trading day of the quarter, usually the last business day of March, June, September, and December. These dates are the last trading day of each quarter, accounting for weekends and holidays when the market is closed. When the last calendar day falls on a weekend, the expiration is set to the last prior trading day. The VIX monthly expiration is on the Wednesday prior to the stock market monthly opex (third Friday). When holidays affect these days, the expiration shifts to the business day before.
אינדיקטור Pine Script®
מאת ‎PvloFF‎
Experimental Supertrend [CHE]Experimental Supertrend — Combines EMA crossovers for trend regime detection with an adaptive ATR-based hull that selects the narrowest band to contain recent highs and lows, minimizing false breaks in varying volatility. Summary This indicator overlays a dynamic supertrend boundary around a midline derived from dual EMAs, using EMA crossovers to switch between bullish and bearish regimes. The hull adapts by evaluating multiple ATR periods and selecting the tightest one that fully encloses price action over a specified window, which helps in creating more stable trend lines that hug price without excessive gaps or breaches. Fills between the midline and hull provide visual cues for trend strength, darkening temporarily after regime changes to highlight transitions. Alerts trigger on crossovers, and markers label entry points, making it suitable for trend-following setups where standard supertrends might whipsaw. Overall, it offers robustness through auto-adjustment, reducing sensitivity to noise while maintaining responsiveness to genuine shifts. Motivation: Why this design? Standard supertrend indicators often flip prematurely in choppy markets due to fixed multipliers that do not account for localized volatility patterns, leading to frequent false signals and eroded confidence in trends. This design addresses that by incorporating an EMA-based regime filter for directional bias and an auto-adaptive hull that dynamically tunes the band width based on recent price containment needs. By prioritizing the narrowest effective enclosure, it avoids over-wide bands in calm periods that cause lag or under-wide ones in volatility spikes that invite breaks, providing a more consistent trailing reference without manual tweaking. What’s different vs. standard approaches? - Reference baseline: Diverges from the classic ATR-multiplier supertrend, which uses a single fixed period and constant factor applied to close or high/low deviations. - Architecture differences: - Auto-selection from candidate ATR lengths to find the optimal period for current conditions. - Dynamic multiplier clamped between floor and cap values, adjusted by padding to ensure reliable containment. - Regime-gated rendering, where hull position flips based on EMA relative positioning. - Post-transition visual fading to emphasize change points without altering core logic. - Practical effect: Charts show tighter, more reactive bands that rarely breach during trends, reducing visual clutter from flips; the adaptive nature means less intervention across assets, as the hull self-adjusts to volatility clusters rather than applying a one-size-fits-all scale. How it works (technical) The indicator first computes two EMAs from close prices using lengths derived from a preset pair or manual inputs, establishing a midline as their average. This midline serves as the central reference for the hull. True range values are then smoothed into multiple ATR candidates using exponential weighting over the specified lengths. For each candidate, deviations of recent highs and lows from the midline are ratioed against the ATR to determine a required multiplier that would enclose all extremes in the containment window—the highest ratio plus padding sets the base, clamped to user-defined bounds. Among valid candidates (those with sufficient history), the one yielding the narrowest overall band width is selected. The hull boundaries are then offset from the midline by this multiplier times the chosen ATR, and further smoothed with a fixed EMA to reduce jitter. Regime direction from EMA comparison gates which boundary acts as support or resistance, with initialization seeding arrays on the first bar to handle state persistence. No higher timeframe data is used, so all logic runs on the chart's native bars without lookahead. Parameter Guide EMA Pair — Selects preset lengths for fast and slow EMAs, influencing regime sensitivity and midline stability. Default: "21/55". Trade-offs/Tips: Faster pairs like "9/21" increase cross frequency for scalping but raise false signals; slower like "50/200" smooths for swings, potentially missing early turns. Use Manual for fine control. Manual Fast — Sets fast EMA length when Manual mode is active; shorter values make regime switches quicker. Default: 21. Trade-offs/Tips: Lower than 10 risks over-reactivity; pair with slow at least double for clear separation. Manual Slow — Sets slow EMA length when Manual mode is active; longer values anchor the midline more firmly. Default: 55. Trade-offs/Tips: Above 100 adds lag in trends; balance with fast to avoid perpetual neutrality. ATR Lengths (comma-separated) — Defines candidate periods for ATR smoothing; more options allow finer auto-selection. Default: "7,10,14,21,28,35". Trade-offs/Tips: Fewer candidates speed computation but may miss optimal fits; keep under 10 for efficiency. Containment Window — Number of recent bars the hull must fully enclose highs/lows of; larger windows favor stability. Default: 50. Trade-offs/Tips: Shorter (under 20) adapts faster to breaks but increases breach risk; longer smooths but delays response. Min Multiplier Floor — Lowest allowed multiplier for hull width; prevents overly tight bands in low volatility. Default: 0.5. Trade-offs/Tips: Raise to 0.75 for conservative enclosures; too low allows pinches that flip easily. Max Multiplier Cap — Highest allowed multiplier; caps expansion in spikes to avoid wide, lagging bands. Default: 1.0. Trade-offs/Tips: Lower to 0.75 tightens overall; higher permits more room but risks detachment from price. Padding (+) — Adds buffer to the auto-multiplier for safer containment without exact touches. Default: 0.05. Trade-offs/Tips: Increase to 0.10 in gappy markets; minimal values hug closer but may still breach on outliers. Fill Between (Mid ↔ Supertrend) — Toggles shaded area between midline and active hull for trend visualization. Default: true. Trade-offs/Tips: Disable for cleaner charts; pairs well with transparency tweaks. Base Fill Transparency (0..100) — Sets default opacity of fills; higher values make them subtler. Default: 80. Trade-offs/Tips: Under 50 overwhelms price action; adjust with darken boost for emphasis. Darken on Trend Change — Enables temporary opacity increase after regime shifts to spotlight transitions. Default: true. Trade-offs/Tips: Off for steady visuals; on aids spotting reversals in real-time. Darken Fade Bars — Duration in bars for the darken effect to ramp back to base; longer prolongs highlight. Default: 8. Trade-offs/Tips: Shorter (4-6) for fast-paced charts; longer holds attention on changes. Darken Boost at Change (Δ transp) — Intensity of opacity reduction at crossover; higher values make shifts more prominent. Default: 50. Trade-offs/Tips: Cap at 70 to avoid blackout; tune down if fades obscure details. Show Supertrend Line — Displays the active hull boundary as a line. Default: true. Trade-offs/Tips: Hide for fill-only views; linewidth fixed at 3 for visibility. Show EMA Cross Markers — Places circles and labels at crossover points for entry cues. Default: true. Trade-offs/Tips: Disable in clutter; labels show "Buy"/"Sell" at absolute positions. Alert: EMA Cross Up (Long) — Triggers notification on bullish crossover. Default: true. Trade-offs/Tips: Pair with filters; once-per-bar frequency. Alert: EMA Cross Down (Short) — Triggers notification on bearish crossover. Default: true. Trade-offs/Tips: Use for exits; ensure broker integration. Show Debug — Reveals internal diagnostics like selected ATR details (if implemented). Default: false. Trade-offs/Tips: Enable for troubleshooting selections; minimal overhead. Reading & Interpretation Bullish regime shows a green line below price as support, with upward fill from midline; bearish uses red line above as resistance, downward fill. Crossovers flip the active boundary, marked by tiny green/red circles and "Buy"/"Sell" labels at the hull level. Fills start at base transparency but darken sharply at changes, fading over the specified bars to signal fresh momentum. If the hull rarely breaches during trends, containment is effective; frequent touches without flips indicate tight adaptation. Debug mode (when enabled) overlays text or plots for selected length and multiplier, helping verify auto-choices. Practical Workflows & Combinations - Trend following: Enter long on green "Buy" label above prior low structure; confirm with higher high. Trail stops along the green hull line, tightening as fills stabilize post-fade. - Exits/Stops: Conservative exit on opposite crossover or hull breach; aggressive hold until fade completes if volume supports. Use darken boost as a volatility cue—high delta suggests waiting for confirmation. - Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m-4h; for crypto, widen containment to 75 for gaps. Layer on volume oscillator for cross filters; avoid on low-liquidity assets where ATR candidates skew. Behavior, Constraints & Performance Closed-bar logic ensures signals confirm at bar end, with live bars updating hull adaptively but no repaints since no future data or security calls are used. Arrays persist ATR states across bars, initialized once with candidates parsed from string. Small fixed loops (over 6 lengths max, inner up to 50) run per bar, capped by max_bars_back=500 for history needs. Resources stay low with 500 labels/lines limits, but dense charts may hit on markers. Known limits include initial lag until containment history builds (50+ bars), potential wide bands on gaps, and suboptimal selections if candidates omit ideal lengths. Sensible Defaults & Quick Tuning Start with "21/55" pair, 50-window, 0.5-1.0 multipliers, and 80% transparency for balanced responsiveness on daily charts. For too many flips, raise min floor to 0.75 or add lengths like "42"; for sluggishness, shorten window to 30 or pick faster pair. In high-vol environments, boost padding to 0.10; for smoother visuals, extend fade bars to 12. What this indicator is—and isn’t This is a visualization and signal layer for trend regime and adaptive boundaries, aiding entry/exit timing in directional markets. It is not a standalone system—pair with price structure, risk sizing, and broader context. Not predictive of turns, just reactive to containment and crosses. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Happy trading Chervolino
אינדיקטור Pine Script®
מאת ‎chervolino‎
1
Outside Candle Session Breakout [CHE]Outside Candle Session Breakout Session - anchored HTF levels for clear market-structure and precise breakout context Summary This indicator is a relevant market-structure tool. It anchors the session to the first higher-timeframe bar, then activates only when the second bar forms an outside condition. Price frequently reacts around these anchors, which provides precise breakout context and a clear overview on both lower and higher timeframes. Robustness comes from close-based validation, an adaptive volatility and tick buffer, first-touch enforcement, optional retest, one-signal-per-session, cooldown, and an optional trend filter. Pine version: v6. Overlay: true. Motivation: Why this design? Short-term breakout tools often trigger during noise, duplicate within the same session, or drift when volatility shifts. The core idea is to gate signals behind a meaningful structure event: a first-bar anchor and a subsequent outside bar on the session timeframe. This narrows attention to structurally important breaks while adaptive buffering and debouncing reduce false or mid-run triggers. What’s different vs. standard approaches? Baseline: Simple high-low breaks or fixed buffers without session context. Architecture: Session-anchored first-bar high/low; outside-bar gate; close-based confirmation with an adaptive ATR and tick buffer; first-touch enforcement; optional retest window; one-signal-per-session and cooldown; optional EMA trend and slope filter; higher-timeframe aggregation with lookahead disabled; themeable visuals and a range fill between levels. Practical effect: Cleaner timing at structurally relevant levels, fewer redundant or late triggers, and better multi-timeframe situational awareness. How it works (technical) The chart timeframe is mapped to an analysis timeframe and a session timeframe. The first session bar defines the anchor high and low. The setup becomes active only after the next bar forms an outside range relative to that first bar. While active, the script tracks these anchors and checks for a breakout beyond a buffered threshold, using closing prices or wicks by preference. The buffer scales with volatility and is limited by a minimum tick floor. First-touch enforcement avoids mid-run confirmations. Optional retest requires a pullback to the raw anchor followed by a new close beyond the buffered level within a user window. Optional trend gating uses an EMA on the analysis timeframe, including an optional slope requirement and price-location check. Higher-timeframe data is requested with lookahead disabled. Values can update during a forming higher-timeframe bar; waiting and confirmation mitigate timing shifts. Parameter Guide Enable Long / Enable Short — Direction toggles. Default: true / true. Reduces unwanted side. Wait Candles — Minimum bars after outside confirmation before entries. Default: five. More waiting increases stability. Close-based Breakout — Confirm on candle close beyond buffer. Default: true. For wick sensitivity, disable. ATR Buffer — Enables adaptive volatility buffer. Default: true. ATR Multiplier — Buffer scaling. Default: zero point two. Increase to reduce noise. Ticks Buffer — Minimum buffer in ticks. Default: two. Protects in quiet markets. Cooldown Bars — Blocks new signals after a trigger. Default: three. One Signal per Session — Prevents duplicates within a session. Default: true. Require Retest — Pullback to raw anchor before confirming. Default: false. Retest Window — Bars allowed for retest completion. Default: five. HTF Trend Filter — EMA-based gating. Default: false. EMA Length — EMA period. Default: two hundred. Slope — Require EMA slope direction. Default: true. Price Above/Below EMA — Require price location relative to EMA. Default: true. Show Levels / Highlight Session / Show Signals — Visual controls. Default: true. Color Theme — “Blue-Green” (default), “Monochrome”, “Earth Tones”, “Classic”, “Dark”. Time Period Box — Visibility, size, position, and colors for the info box. (Optional) Reading & Interpretation The two level lines represent the session’s first-bar high and low. The filled band illustrates the active session range. “OUT” marks that the outside condition is confirmed and the setup is live. “LONG” or “SHORT” appears only when the breakout clears buffer, debounce, and optional gates. Background tint indicates sessions where the setup is valid. Alerts fire on confirmed long or short breakout events. Practical Workflows & Combinations Trend-following: Keep close-based validation, ATR buffer near the default, one-signal-per-session enabled; add EMA trend and slope for directional bias. Retest confirmation: Enable retest with a short window to prioritize cleaner continuation after a pullback. Lower-timeframe scalping: Reduce waiting and cooldown slightly; keep a small tick buffer to filter micro-whips. Swing and position context: Increase ATR multiplier and waiting; maintain once-per-session to limit duplicates. Timeframe Tiers and Trader Profiles The script adapts its internal mapping based on the chart timeframe: Under fifteen minutes → Analysis: one minute; Session: sixty minutes. Useful for scalpers and high-frequency intraday reads. Between fifteen and under sixty minutes → Analysis: fifteen minutes; Session: one day. Suits day traders who need intraday alignment to the daily session. Between sixty minutes and under one day → Analysis: sixty minutes; Session: one week. Serves intraday-to-swing transitions and end-of-day planning. Between one day and under one week → Analysis: two hundred forty minutes; Session: two weeks. Fits swing traders who monitor multi-day structure. Between one week and under thirty days → Analysis: one day; Session: three months. Supports position traders seeking quarterly context. Thirty days and above → Analysis: one day; Session: twelve months. Provides a broad annual anchor for macro context. These tiers are designed to keep anchors meaningful across regimes while preserving responsiveness appropriate to the trader profile. Behavior, Constraints & Performance Signals can be validated on closed bars through close-based logic; enabling this reduces intrabar flicker. Higher-timeframe values may evolve during a forming bar; waiting parameters and the outside-bar gate reduce, but do not remove, this effect. Resource footprint is light; the script uses standard indicators and a single higher-timeframe request per stream. Known limits: rare setups during very quiet periods, sensitivity to gaps, and reduced reliability on illiquid symbols. Sensible Defaults & Quick Tuning Start with close-based validation on, ATR buffer on with a multiplier near zero point two, tick buffer two, cooldown three, once-per-session on. Too many flips: increase the ATR multiplier and cooldown; consider enabling the EMA filter and slope. Too sluggish: reduce the ATR multiplier and waiting; disable retest. Choppy conditions: keep close-based validation, increase tick buffer, shorten the retest window. What this indicator is—and isn’t This is a visualization and signal layer for session-anchored breakouts with stability gates. It is not a complete trading system, risk framework, or predictive engine. Combine it with structured analysis, position sizing, and disciplined risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
אינדיקטור Pine Script®
מאת ‎chervolino‎
黄金专用LPPL特征检测（Log-Periodic Power Law Singularity）专门用于黄金走势的LPPL检测，在技术分析中，LPPL 奇点指的是对数周期幂律奇异性（Log-Periodic Power Law Singularity），它是对数周期幂律模型（LPPL）中的一个关键概念。以下是关于它的详细介绍： 提出者及背景：LPPL 模型是由研究市场泡沫的先驱者、物理学家迪迪埃・索尔内特（Didier Sornette）等人提出的。该模型结合了理性预期泡沫的经济理论、投资者的模仿和羊群行为的行为金融学以及分岔和相变的数学统计物理学，用于检测金融市场中的泡沫和预测市场转折点。 模型原理：LPPL 模型假设当市场出现泡沫时，资产价格会呈现出一种特殊的波动模式，这种模式由正反馈机制驱动。在泡沫形成过程中，投资者的模仿和跟风行为导致市场参与者的一致性和协同性急剧上升，价格出现 “快于指数” 的增长，同时伴随着加速的对数周期振荡。而 LPPL 奇点就是价格增长和振荡达到极限的那个有限时间点，在这个点之前，价格增长越来越快，振荡频率也越来越高，当到达奇点时，泡沫破裂，市场往往会出现急剧的反转和崩盘。 数学表达：LPPL 模型的数学公式较为复杂，其原始形式提出了一个由 3 个线性参数和 4 个非线性参数组成的函数。通过将这个函数与对数价格时间序列进行拟合，可以估计出模型的参数，进而确定奇点的时间位置等信息。 在金融市场中的应用：LPPL 模型及其中的奇点概念主要用于检测金融市场中的泡沫和预测市场的崩溃点。例如，在 2008 年石油价格泡沫和 2009 年上海股市泡沫等事件中，该模型都被用于分析和预测市场的转折点。不过，该模型也存在一定的局限性，比如对奇点具体点位的预测误差较大，而且市场情况复杂多变，可能会有强大的外力干扰等因素影响模型的准确性。 The LPPL model was proposed by physicist Didier Sornette, a pioneer in the study of market bubbles, and others. The model combines the economic theory of rational expectations bubbles, behavioral finance on investor imitation and herding behavior, and the mathematical statistical physics of bifurcations and phase transitions to detect bubbles in financial markets and predict market turning points. Model Principle: The LPPL model posits that when a market bubble forms, asset prices exhibit a distinctive pattern of fluctuation driven by a positive feedback mechanism. During the bubble's formation, investors' imitation and bandwagon-following behavior lead to a sharp increase in consistency and coordination among market participants, resulting in "faster-than-exponential" price growth accompanied by accelerating logarithmic-periodic oscillations. The LPPL singularity is the finite point in time where price growth and oscillation reach their limits. Prior to this point, prices grow increasingly faster, and the frequency of oscillations increases. When the singularity is reached, the bubble bursts, and the market often experiences a sharp reversal and crash.
אינדיקטור Pine Script®
מאת ‎SidHaove‎