Black Friday%80 kadar İNDİRİM

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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.
Pine Script® göstergesi
dfce82 tarafından
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.
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STEEL-CITY-CREATORS tarafından
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.
Pine Script® göstergesi
dammucool tarafından
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.
Pine Script® göstergesi
mattlanders tarafından
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
Pine Script® göstergesi
bifuwang tarafından
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.
Pine Script® göstergesi
p_zerbst tarafından
1
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... ;-)
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Wyn-Trader tarafından
4
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.
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FIRE_CRYPTO tarafından
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.
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Semtex76 tarafından
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
Pine Script® göstergesi
NightFury89 tarafından
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.
Pine Script® göstergesi
PvloFF tarafından
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
Pine Script® göstergesi
chervolino tarafından
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
Pine Script® göstergesi
chervolino tarafından
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.
Pine Script® göstergesi
SidHaove tarafından
Gold and Bitcoin: The Evolution of Value!The Eternal Luster of Gold In the dawn of time, when the earth was young and rivers whispered secrets to the stones, a wanderer named Elara found a gleam in the silt of a sun-kissed stream. It was pure gold, radiant like a captured star fallen from the heavens. She held it in her palm, feeling its warmth pulse like a heartbeat, and in that moment, humanity’s soul awakened to the allure of eternity. As seasons turned to centuries, gold wove itself into the story of empires. In ancient Egypt, pharaohs crowned themselves with its glow, believing it to be the flesh of gods. It built pyramids that reached for the sky and tombs that guarded kings forever. Across the sands in Mesopotamia, merchants traded it for spices and silks, its weight a promise of power and trust. Translation moment: Gold became the first universal symbol of value. People trusted it more than words or promises because it did not rust, fade, or vanish. The Greeks saw in gold not only wealth but wisdom, the symbol of the sun’s eternal fire. Alexander the Great carried it across the continent, forging an empire of golden threads. Rome rose on its back, minting coins whose clink echoed through history. Through the ages, gold endured the rush of California’s dreamers, the halls of Versailles, and the quiet vaults of modern fortunes. It has been both a curse and a blessing, the fuel of wars and the gift of love, whispering of beauty’s fragility and the human desire for something that lasts beyond the grave. In its shine, we see ourselves fragile yet forever chasing light. The Digital Dawn of Bitcoin Centuries later, under the glow of computer screens, a visionary named Satoshi dreamed of a new gold born not from the earth but from the ether of ideas. Bitcoin appeared in 2009 amid a world weary of banks and broken trust. Like gold’s ancient gleam, Bitcoin was mined not with picks but with puzzles solved by machines. It promised freedom, a currency without kings, flowing from person to person, unbound by borders or empires. Translation moment: Bitcoin works like digital gold. Instead of digging the ground, miners use computers to solve problems and unlock new coins. No one controls it, and that is what makes it powerful. Through doubt and frenzy, it rose as a beacon for those seeking sovereignty in a digital world. Its volatility became its soul, a reminder that true value is built on belief. Bitcoin speaks to ingenuity and rebellion, a star of code guiding us toward a future where wealth is weightless yet profoundly honest. Gold’s Cycles: Echoes of War and Crisis In the early 20th century, gold was held under fixed prices until the Great Depression of 1929 shattered these illusions. The 1934 dollar devaluation lifted it from 20.67 to 35, restoring faith amid despair. When World War II erupted in 1939, gold’s role as a refuge was muted by controls, yet it quietly held its place as the world’s silent guardian. The 1970s awakened its wild spirit. The Nixon Shock of 1971 freed gold from 35, sparking a bull run during the 1973 Oil Crisis. The 1979 Iranian Revolution led to a 1980 peak of 850, a leap of more than 2,000 percent, as investors sought safety from the chaos. Translation moment: When fear rises, people rush to gold. Every major war or economic crisis has sent gold upward because it feels safe when paper money loses trust. The 1987 stock crash caused brief dips, but the 1990 Gulf War reignited its glow. Around 2000, after the Dot-com Bust, gold found new life, climbing from $ 270 to over $1,900 during the 2008 Financial Crisis. It dipped to 1050 in 2015, then surged again past 2000 during the 2020 pandemic. The 2022 Ukraine War added another chapter with prices climbing above 2700 by 2025. Across a century of crises, gold has risen whenever fear tested humanity’s resolve, teaching patience and fortitude through its quiet endurance. Bitcoin’s Cycles: Echoes of Innovation and Crisis Born from the ashes of the 2008 Financial Crisis, Bitcoin began its story at mere cents. It traded below $1 until 2011, when it reached $30 before crashing by 90 percent following the MTGOX collapse. In 2013, it soared to 1242 only to fall again to 200 in 2015 as regulations tightened. The 2017 bull run lifted it to nearly 20000 before another long winter brought it to 3200 in 2018. Each fall taught resilience, each rise renewed belief. During the 2020 pandemic, it fell below 5000 before rallying to 69000 in 2021. The Ukraine War and the FTX collapse of 2022 brought it down to 16000, but also proved its role in humanitarian aid. By 2024, the halving and ETF approvals helped it break 100000, marking Bitcoin’s rise as digital gold. Translation moment: Bitcoin’s rhythm follows four-year halving cycles when mining rewards are cut in half. This keeps supply limited, which often triggers new bull runs as demand returns. Every four years, it's halving cycles 2012, 2016, 2020, 2024, fueling new waves of adoption and correction. Bitcoin grows strongest in times of uncertainty, echoing humanity’s drive to evolve beyond limits. The Harmony of Gold and Bitcoin Modern Parallels In today’s markets, gold’s ancient glow meets Bitcoin’s electric pulse. As of October 17, 2025, their correlation stands near 0.85, close to its historic high of 0.9. Both rise as guardians against inflation and the erosion of trust in the dollar. Gold trades near 4310 per ounce a record high while Bitcoin hovers around 104700 showing brief fractures in their unity. Gold offers the comfort of touch while Bitcoin provides the thrill of code. Together, they reflect fear and hope, the twin emotions that drive every market. Translation moment: A correlation of 0.85 means they often move in the same direction. When fear or inflation rises, both gold and Bitcoin tend to rise in tandem. Analysts warn of bubbles in stocks, gold, and crypto, yet optimism remains for Bitcoin’s growth through 2026, while gold holds its defensive strength. Gold carries risks of storage cost and theft, but steadiness in chaos. Bitcoin carries volatility and regulatory challenges, but it also offers unmatched innovation and reach. One is the anchor, the other the dream, and both reward those who hold conviction through uncertainty. Epilogue: The Timeless Balance Gold and Bitcoin form a bridge between the ancient and the future. Gold, the earth’s eternal treasure, stands as a symbol of stability and truth. Bitcoin, the digital heir, shines with the spark of innovation and freedom. Experts view gold as the ultimate inflation hedge, forged in fire and tested over centuries. They see Bitcoin as its digital counterpart, scarce by code and limitless in reach. Gold’s weight grounds us in reality while Bitcoin’s light expands our imagination. In 2025, as gold surpasses $4,346 and Bitcoin hovers near $105,000, the wise investor sees not rivals but reflections. Translation moment: Gold reminds us to protect what we have. Bitcoin reminds us to dream of what could be. Together, they balance caution and courage, the two forces every generation must master. One whispers of legacy, the other of evolution, yet together they tell humanity’s oldest story, our unending quest to preserve value against time and to chase the light that never fades. 🙏 I ask (Allah) for guidance and success. 🤲
Pine Script® göstergesi
HamadaMark tarafından
9
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator What It Does Identifies high-probability trading setups by combining: Technical Breakouts/Breakdowns - Price breaking support/resistance zones Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY) Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure. Real Relative Strength (RRS) Calculation RRS measures outperformance/underperformance on a volatility-adjusted basis: Power Index = (Benchmark Price Move) / (Benchmark ATR) RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR RRS (smoothed) = 3-period SMA of RRS Interpretation: RRS > 0 = Relative Strength (outperforming) RRS < 0 = Relative Weakness (underperforming) Signal Types 🟢 Large Green Triangle (Premium Long) Condition: Breakout + RRS > 0 Meaning: Stock breaking resistance WHILE outperforming benchmark Best when: Market is weak but stock breaks out anyway = exceptional strength Use: High-conviction long entries 🔵 Small Blue Triangle (Standard Breakout) Condition: Breakout + RRS ≤ 0 Meaning: Breaking resistance but underperforming benchmark Typical: "Rising tide lifts all boats" scenario during market rally Use: Lower conviction—may just be following market 🟠 Large Orange Triangle (Premium Short) Condition: Breakdown + RRS < 0 Meaning: Stock breaking support WHILE underperforming benchmark Best when: Market is strong but stock breaks down anyway = severe weakness Use: High-conviction short entries 🔴 Small Red Triangle (Standard Breakdown) Condition: Breakdown + RRS ≥ 0 Meaning: Breaking support but outperforming benchmark Typical: Stock falling less than market during selloff Use: Lower conviction—may recover when market does Why Large Triangles Matter Large signals show divergence = genuine institutional flow: Stock breaking out while market falls → Aggressive buying despite headwinds Stock breaking down while market rallies → Aggressive selling despite tailwinds These setups reveal where real conviction lies, not just momentum-following behavior. Quick Settings RRS: 12-period lookback, 3-bar smoothing, vs SPY Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
Pine Script® göstergesi
william2003wakeford tarafından