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스크립트에서 "Cycle"에 대해 찾기

Fed Funds Rate-of-ChangeFed Funds Rate-of-Change What it does: This indicator pulls the Effective Federal Funds Rate (FRED:FEDFUNDS, monthly) and measures how quickly it’s changing over a user-defined lookback. It offers stabilized change metrics that avoid the “near-zero blow-up” you see with naive % ROC. The plot turns red only when the signal is below the lower threshold and heading down (i.e., value < –threshold and slope < 0). This indicator is meant to be useful in monitoring fast cuts on the part of the FED - a signal that has preceded recession or market pullbacks in times prior. Change modes: Percentage, log and delta. Percent ROC (ε floor): 100 * (now - prev) / max(prev, ε) Log change (ε): 100 * (ln(now + ε) - ln(prev + ε)) Delta (bps): (now - prev) * 100 (basis points; avoids percentage math) Tip: For “least drama,” use Delta (bps). For relative change without explosions near zero, use Log change (ε). Key inputs: Lookback (months): ROC window in calendar months (because source is monthly). Change Metric: one of the three options above. ε (percentage points): small constant (e.g., 0.25 pp) used by Percent ROC (ε) and Log change (ε) to stabilize near-zero values. EMA Smoothing length: light smoothing of the computed series. Clip |value| at: optional hard cap to tame outliers (0 = off). Threshold % / Threshold bps: lower/upper threshold band; unit adapts to the selected metric. Plot as histogram: optional histogram view. Coloring / signal logic Red: value is below the lower threshold (–threshold) and the series is falling on the current bar. How to use: Add to any chart (timeframe doesn’t matter; data is monthly under the hood). Pick a Change Metric and set Lookback (e.g., 3–6 months). Choose a reasonable threshold: Percent/Log: try 10–20% Delta (bps): try 50–100 bps Optionally smooth (EMA 3–6) and/or clip extreme spikes. Interpretation Sustained red often marks periods of accelerating downside in the Fed Funds change metric (e.g., policy easing momentum when using bps). Neutral (gray) provides context without implying direction bias. Notes & limitations Source is monthly FRED series; values update on monthly closes and are stable (no intrabar repainting of the monthly series). Threshold units switch automatically with the metric (%, %, or bps). Smoothing/clip are convenience tools; adjust conservatively to avoid masking important shifts.
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DamonAndTheSea의
Fed Rate Change Impact📊 Fed Rate Change Impact — Macro Event-Driven Indicator Fed Rate Change Impact is an advanced indicator designed to analyze the impact of Federal Reserve interest rate changes on financial markets. It integrates event-driven logic with dynamic visualization, percentage diagnostics, and multi-asset selection, offering a clear and customizable view of post-event effects. 🔍 Key Features 📅 Preloaded Fed Events : Includes over 30 historical rate cut (↓) and hike (↑) dates from 2008 to 2024. 📈 Post-Event Analysis : Calculates the percentage change of the selected asset 5, 10, and 30 days after each event. 📌 Vertical Chart Lines : Visually highlights each event directly on the chart, with dynamic coloring (red for hikes, green for cuts). 📋 Diagnostic Table : Displays real-time impact for each event, with color-coded values and a compact layout. 🧠 Interactive Filter: Choose to display only hikes, only cuts, or both. 🧭 Flexible Asset Selection : Analyze the current chart asset, pick from a predefined list, or manually input any ticker via input.symbol(). 🎯 Contextual Highlighting : The table highlights the analyzed asset if it matches the active chart symbol. ⚙️ Customizable Parameters lookahead5, lookahead10, lookahead30: Define the time horizon for measuring post-event impact. eventFilter : Choose which type of events to display. presetAsset / customAsset : Select or input the asset to analyze. 🧪 Recommended Use Cases Macroeconomic analysis on indices, commodities, crypto, and forex Studying delayed effects of rate changes on sensitive assets Building event-driven strategies or diagnostic overlays Visual backtesting and cross-asset comparison 🧠 Technical Notes The indicator is compatible with overlay=true and works best on Daily timeframe. The table automatically adapts to the number of events and includes visual padding for improved readability. All calculations are performed in real time and require no external data.
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FrancescoG65의
HeatCandleHeatCandle - AOC Indicator ✨ Features 📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones. 📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds. ⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis. 🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation. 🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity. 🛠️ How to Use Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView. Configure Inputs: TMA Length: Set the period for the Triangular Moving Average (default: 150). Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0). Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA: Dark blue (Z0) indicates strong oversold conditions. Red (Z19) signals strong overbought conditions. Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA. 🎯 Why Use It? Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance. Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading. Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions. Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators. 📝 Notes Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths. The indicator is most effective on volatile markets where price deviations are significant. Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies. Happy trading! 🚀📈
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AlchimistOfCrypto의
AWSA "Level Indicator with ATR" isn't a single, defined indicator but typically refers to a trading strategy or indicator that uses the Average True Range (ATR) to create dynamic levels on a price chart, such as support, resistance, or stop-loss levels. The ATR is a volatility indicator that measures market volatility; when high, it suggests the market has large price swings, and when low, small price swings. By using the ATR value with a multiplier, traders can set price levels that adapt to changing market volatility, providing more objective and dynamic trading signals than fixed-price levels.
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shobithanaidu의
Weinstein Stage Analyzer — Table Only (more padding)What it does This indicator applies Stan Weinstein’s Stage Analysis (Stages 1–4) and presents the result in a clean, compact table only—no lines, labels, or overlays. It shows: • Previous Stage • Current Stage (with Early / Mature / Late tag) • Duration (how long price has been in the current stage, in HTF bars) • Sentiment (Bullish / Bearish / Balanced / Cautious, derived from stage & maturity) Timeframe-aware logic • Weekly charts: classic 30-period MA (Weinstein’s original 30-week concept). • Daily & Intraday: computed on Daily 150 as a practical daily translation of the 30-week idea. • Monthly: ~7-period MA (~30 weeks ≈ 7 months). The stage classification itself is evaluated on this HTF context and then displayed on your active chart. EMA/SMA toggle Choose EMA (default) or SMA for the trend line used in stage detection. How stages are decided (practical rules) • Stage 2 (Advance): MA rising with price above an upper band. • Stage 4 (Decline): MA falling with price below a lower band. • Flat MA zones become Stage 1 (Base) or Stage 3 (Top) depending on the prior trend. “Maturity” tags (Early/Mature/Late) come from run length and extension beyond the band. Inputs you can tweak • MA Type: EMA / SMA • Price Band (±%) and Slope Threshold to tighten/loosen stage flips • Maturity thresholds: min/max bars & late-extension % Notes • Duration is for the entire current stage (e.g., total time in Stage 4), not just the maturity slice. • A Top Padding Rows input is included to nudge the table lower if it overlaps your OHLC readout. Disclaimer For educational use only. Not financial advice. Always confirm with your own analysis, risk management, and market context.
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gautam_tradingipad의
2
NX - ICT PD ArraysThis Pine Script indicator identifies and visualizes Fair Value Gaps (FVGs) and Order Blocks (OBs) based on refined price action logic. FVGs are highlighted when price leaves an imbalance between candles, while Order Blocks are detected using ICT methodology—marking the last opposing candle before a displacement move. The script dynamically tracks and updates these zones, halting box extension once price interacts with them. Customizable colors and lookback settings allow traders to tailor the display to their strategy.
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asyncoder의
1
RSI HIGHs and LOWs MarkerThis indicator marks significant RSI (14) pivot points directly on the price chart. Red markers above candles highlight confirmed RSI highs where the RSI value exceeded 75 (overbought zone). Green markers below candles highlight confirmed RSI lows where the RSI value dropped below 25 (oversold zone). These signals help traders quickly identify potential reversal zones and overextended market conditions without having to monitor the RSI window separately.
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jurleitv의
Multi-Strategy Trading Screener SummaryI only combined famous scripts, all thanks to wonderful scripts and community out there . ThankYou ! ------ Core Architecture Multi-Symbol Analysis: Tracks up to 5 configurable tickers simultaneously Multi-Timeframe Support: Each symbol can use different timeframes Real-Time Dashboard: Color-coded table displaying all signals and analysis Trend Validation: All signals include trend alignment confirmation Integrated Trading Strategies 1. Breaker Blocks (Order Blocks) Detects institutional order blocks using swing analysis Tracks when blocks are broken and become "breaker blocks" Monitors retests of broken levels Shows trend alignment (✓ aligned, ⚠️ misaligned) 2. Chandelier Exit ATR-based trend-following exit system Provides BUY/SELL signals based on dynamic stop levels Uses configurable ATR multiplier and lookback period 3. Smart Money Breakout Channel breakout detection with volatility normalization Identifies accumulation/distribution phases Generates persistent BUY/SELL signals on breakouts 4. Trendline Breakout Dynamic trendline detection using pivot highs/lows Calculates trendline slopes and breakout points Provides BUY signals on upward breaks, SELL on downward breaks Dashboard Columns Explained Symbol: Ticker being analyzed Trend: Overall SuperTrend direction (🟢 UP / 🔴 DOWN / ⚪ FLAT) Timeframe: Analysis timeframe with clock icon Breaker Block: Type (Bullish/Bearish) with trend alignment indicator Status: Price position relative to breaker block (Inside/Approaching/Far) Retests: Number of times the broken level was retested (indicates level strength) Volume: Volume associated with the order block formation Chandelier: BUY/SELL signals from Chandelier Exit strategy Smart Money: BUY/SELL signals from breakout detection Trendline: BUY/SELL signals from trendline breakouts Key Features No HOLD States: All signals show definitive BUY (🟢) or SELL (🔴) only Persistent Signals: Signals remain active until opposite conditions trigger Color Coding: Visual distinction between bullish (green) and bearish (red) signals Trend Alignment: Enhanced accuracy through trend confirmation logic This screener provides a comprehensive view of market conditions across multiple strategies, helping identify high-probability trading opportunities when signals align.
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umaidfaisal1994의
2
HIFI Altcoin Season Index (Total3 vs BTC)This indicator helps you determine whether the crypto market is in an "altcoin season" or a "bitcoin season." It doesn't compare every single altcoin to Bitcoin individually; instead, it uses a more efficient approach. Methodology The index calculates the difference in price performance over a selected period (default 90 days) between the total market capitalization of altcoins without Ethereum (TOTAL3) and Bitcoin (BTC). Interpretation Value above 75: TOTAL3 is showing significantly stronger growth than BTC, indicating an ALTCOIN SEASON. 🚀 Value below 25: BTC is outperforming TOTAL3, indicating a BITCOIN SEASON. 👑 Value between 25 and 75: The market is in a mixed or neutral phase. 🤷 Benefits This method avoids the technical limitations of Pine Script when requesting data for a large number of symbols, making the indicator stable and reliable. Disclaimer: This indicator is a tool for market analysis and should not be considered financial advice.
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First_LastTrader의
ICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) — Prior-Day HistoryICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) This is a derivative of ALPHAICTRADER’s open-source script, republished under the MPL-2.0 with clear attribution and documented changes. It plots four New-York–anchored intraday reference levels—0000, 0830, 0930, 1330—as short, right-padded stubs with clean side labels. Use these time anchors (ICT-style midnight + key US windows) to frame bias, volatility pockets, and intraday trade locations. What’s original in this version (changes) Right-padded stubs instead of chart-wide rays — each level ends N bars past the latest candle (configurable). Side labels at the line tip — text-only labels (0000, 0830, 0930, 1330) that sit at the right end of each stub and update every bar. Optional prior-day history — show Today only or Today + Prior Day; older lines/labels auto-pruned. Per-anchor controls — Display, Style, Color, Width, and Show Label for each time. What it plots (and why) 0000 (NY Midnight): daily session anchor for bias/liquidity context. 0830 (NY): macro data window (CPI/NFP/claims) where volatility often concentrates. 0930 (NY): US cash equity market open; opening-drive structure/acceptance tests. 1330 (NY): early-afternoon anchor for continuation vs. fade. How it works (under the hood) Session detection: time("1", session, "America/New_York"); first bar flagged via not na(ts) and na(ts ). Anchor price: open of that first bar per session/day. Rendering: lines drawn with xloc=bar_index from start bar to bar_index + Right Pad; x2 updates every bar (no extend.right). Labels: placed at line.get_x2(line) + Label Pad, soft color variant; updated per bar to stay on the tip. History: arrays keep either today only or today + yesterday and delete anything older immediately. How to use Add to any intraday chart (futures/FX/indices). Anchors are always NY-time; TradingView handles DST. Inputs 00:00 / 08:30 / 09:30 / 13:30 (NY): Display, Line Style, Color, Width, Show Label Right Edge: Right Pad (bars) · Label Pad (bars) History: Show Prior Day (History) — off = today only; on = today + yesterday Suggested pads: Right Pad 2–5 bars; Label Pad 0–2. These are context anchors, not signals. Combine with your execution model (market structure, liquidity, FVG/OBs, etc.). Attribution & License (MPL-2.0) Original work: “ICT NEW YORK MIDNIGHT OPEN AND 8.30 AM OPEN” by ALPHAICTRADER (MPL-2.0). This derivative: modifications listed above; source published and kept under MPL-2.0 per license terms. If you distribute a modified version of this Pine file, you must keep MPL-2.0, retain the copyright/licensing header, publish your modified source, and document your changes. Notes: Pine v5. Minimalist (no day dividers). Educational tool; not financial advice. Copyright: © ALPHAICTRADER 2022 · © Funk 2025 License: MPL-2.0
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FunkValue의
Contract Interest Turnover T3 [T69]Overview -------- Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential). Features -------- - Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView. - Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close. - Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise. - Status-line readouts: Displays normalized Volume and OI values for quick sanity checks. - Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls. How to Use ---------- 1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists). 2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping. 3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual. Configuration ------------- - Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile. Under the Hood (Formulas & Logic) --------------------------------- - Fetch OI oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true. If none is found, the script throws a clear runtime error. - Normalize to price vol_norm = volume / close oi_norm = oiClose / close This converts both to a common notional basis so their ratio is meaningful even as price changes. - Turnover Rate turnover = vol_norm / oi_norm Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold. Why Open Interest ≈ “Float” Proxy --------------------------------- In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period. Why Normalize by Price ---------------------- Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close: - Puts them on a comparable notional footing. - Prevents false spikes purely from price moves. - Makes Turnover comparable across time even as price trends. Advanced Tips ------------- - Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat. - Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn. - Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential. Limitations ----------- - Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out. - Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution. - Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes. Notes ----- - Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed. Credit ------ - Concept & data: Built for TradingView data feeds. - Acknowledgment: Credit to TradingView default indicator as requested. - Source: This write-up reflects the logic present in your uploaded script. Disclaimer ---------- Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
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Teyo69의
2
Custom Time Range HighlightThis indicator highlights specific time ranges on your TradingView chart with customizable background colors and labels, making it easier to identify key trading sessions and ICT (Inner Circle Trader) Killzones. It is designed for traders who want to mark important market hours, such as major sessions (Asia, New York, London) or high-volatility Killzones, with full control over activation, timing, colors, and transparency. Features Customizable Time Ranges: Define up to 9 different time ranges, including one custom range, three major market sessions (Asia, New York, London), and five ICT Killzones (Asia, NY Open, NY Close, London Open, London Close). Individual Activation: Enable or disable each time range independently via checkboxes in the settings. By default, only the ICT Killzones are active. Custom Colors and Transparency: Set unique background and label colors for each range, with adjustable transparency for both. Labeled Time Ranges: Each active range is marked with a customizable label at the start of the period, displayed above the chart for easy identification. Priority Handling: If multiple ranges overlap, the range with the higher number (e.g., Asia Killzone over Custom Range) determines the background color. CET Time Zone: Time ranges are based on Central European Time (CET, Europe/Vienna). Adjust the hours and minutes to match your trading needs. Settings The indicator settings are organized into three groups for clarity: Custom Range: A flexible range (default: 15:30–18:00 CET) for user-defined periods. Session - Asia, NY, London: Major market sessions (Asia: 01:00–10:00, New York: 14:00–23:00, London: 09:00–18:00 CET). ICT Killzones - Asia, NY, London: High-volatility periods (NY Open: 13:00–16:00, NY Close: 20:00–23:00, London Open: 08:00–11:00, London Close: 16:00–18:00, Asia: 02:00–05:00 CET). For each range, you can: Toggle activation (default: only ICT Killzones enabled). Adjust start and end times (hours and minutes). Customize the label text. Choose background and label colors with transparency levels (0–100). How to Use Add the indicator to your chart. Open the settings to enable/disable specific ranges, adjust their times, or customize colors and labels. The chart will highlight active time ranges with the selected background colors and display labels at the start of each range. Use it to focus on key trading periods, such as ICT Killzones for high-probability setups or major sessions for market analysis. Notes Ensure your time ranges align with your trading instrument’s session times. Overlapping ranges prioritize higher-numbered ranges (e.g., Asia Killzone overrides London Session). Ideal for day traders, scalpers, or ICT strategy followers who need clear visual cues for specific market hours. Feedback If you have suggestions for improvements or need help with customization, feel free to leave a comment or contact the author!
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osterhansi_의
Highlight Specific Time CandleThis is a simple Pine Script tool that marks candles occurring at a chosen time of the day. You can set the hour and minute (in 24-hour format) from the inputs, and whenever a candle’s timestamp matches that time, the indicator highlights it with a symbol above the bar and an optional background colour. This is useful for: Identifying key intraday times (e.g., market open, midday, closing). Spotting how price reacts at scheduled events (economic data releases, news times).
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amanchaure의
Ichimoku Fractal Flow### Ichimoku Fractal Flow (IFF) By Gurjit Singh Ichimoku Fractal Flow (IFF) distills the Ichimoku system into a single oscillator by merging fractal echoes of price and cloud dynamics into one flow signal. Instead of static Ichimoku lines, it measures the "flow" between Conversion/Base, Span A/B, price echoes, and cloud echoes. The result is a multidimensional oscillator that reveals hidden rhythm, momentum shifts, and trend bias. #### 📌 Key Features 1. Fourfold Fusion – The oscillator blends: * Phase: Tenkan vs. Kijun spread (short vs. medium trend). * Kumo Phase: Span A vs. Span B spread (cloud thickness). * Echo: Price vs lagged reflection. * Cloud Echo: Price vs. projected cloud center. 2. Oscillator Output – A unified flow line oscillating around zero. 3. Dual Calculation Modes – Oscillator can be built using: * High-Low Midpoint (classic Ichimoku-style averaging). * Wilder’s RMA (smoother, less noisy averaging averaging). 4. Optional Smoothing – EMA or Wilder’s RMA creates a trend line, enabling MACD-style crossovers. 5. Dynamic Coloring – Bullish/Bearish color shifts for quick bias recognition. 6. Fill Styling – Highlighted regions between oscillator & smoothing line. 7. Zero Line Reference – Acts as a structural pivot (bull vs. bear). #### 🔑 How to Use 1. Add to Chart: Works across all assets and timeframes. 2. Flow Bias (Zero Line): * Above 0 → Bullish flow 🐂 * Below 0 → Bearish flow 🐻 3. With Signal Line: * Oscillator above smoothing line → Possible upward trend shift. * Oscillator below smoothing line → Possible downward trend shift. 4. Strength: * Wide separation from smoothing = strong trend. * Flat, tight clustering = indecision/range. 5. Contextual Edge: Combine signals with Ichimoku Cloud analysis for stronger confluence. #### ⚙️ Inputs & Options * Conversion Line (Tenkan, default 9) * Base Line (Kijun, default 26) * Leading Span B (default 52) * Lag/Lead Shift (default 26) * Oscillator Mode: High-Low Midpoint vs Wilder’s RMA * Use Smoothing (toggle on/off) * Signal Smoothing: Wilder/EMA option * Smoothing Length (default 9) * Bullish/Bearish Colors + Transparency #### 💡 Tips * Wilder’s RMA (both oscillator & smoothing) is gentler, reducing whipsaws in sideways markets. * High-Low Mid captures pure Ichimoku-style ranges, good for structure-based traders. * EMA reacts faster than RMA; use if you want early momentum signals. * Zero-line flips act like momentum pivots—watch them near cloud boundaries. * Signal line crossovers behave like MACD-style triggers. * Strongest signals appear when oscillator, signal line, and Ichimoku Cloud all align. 👉 In short: Ichimoku Fractal Flow compresses multi-layered Ichimoku system into a single fractal oscillator that detects flow, pivotal shifts, and momentum with clarity—bridging price, cloud, and echoes into one signal. Where the cloud shows structure, IFF reveals the underlying flow. Together, they offer a fractal lens into market rhythm.
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singhxgurjit의
交易区本地时间This is a practical timezone display indicator designed specifically for forex and global market traders, showing real-time current times of three major financial centers in a clear table format at the top-right corner of the chart: Tokyo, New York, and London. ✨ Key Features 🗾 Tokyo Time - Asian trading session reference 🗽 New York Time - American trading session reference 🏛️ London Time - European trading session reference 📅 Complete Date & Time - Display format: MM-DD HH:MM 🔄 Automatic DST - Smart handling of daylight saving time transitions 🎨 Color Coding - Different colors for different timezone identification ⚡ Real-time Updates - Based on current timestamp, accurate with no delay 💼 Use Cases Forex Traders - Track major financial center opening/closing times Global Market Analysis - Understand market activity across different timezones News Trading - Master timing of important economic data releases Multi-timezone Coordination - Time management tool for international investors 这是一个专为外汇和全球市场交易者设计的实用时区显示指标，在图表右上角以清晰的表格形式实时显示三大主要金融中心的当前时间：东京、纽约和伦敦。 ✨ 主要功能 🗾 东京时间 - 亚洲交易时段参考 🗽 纽约时间 - 美洲交易时段参考 🏛️ 伦敦时间 - 欧洲交易时段参考 📅 完整日期时间 - 显示格式：MM-DD HH:MM 🔄 自动夏令时 - 智能处理冬令时/夏令时切换 🎨 色彩区分 - 不同颜色标识不同时区 ⚡ 实时更新 - 基于当前时间戳，准确无延迟 💼 适用场景 外汇交易者 - 把握各大金融中心开盘收盘时间 全球市场分析 - 了解不同时区的市场活跃度 新闻交易 - 掌握重要经济数据发布时间 多时区协调 - 国际投资者的时间管理工具
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pvwb3121의
🟥 Synthetic 10Y Real Yield (US10Y - Breakeven)This script calculates and plots a synthetic U.S. 10-Year Real Yield by subtracting the 10-Year Breakeven Inflation Rate (USGGBE10) from the nominal 10-Year Treasury Yield (US10Y). Real yields are a core macro driver for gold, crypto, growth stocks, and bond pricing, and are closely monitored by institutional traders. The script includes key reference lines: 0% = Below zero = deeply accommodative regime 1.5% = Common threshold used by macro desks to evaluate gold upside breakout conditions 📈 Use this to monitor macro shifts in real-time and front-run capital flows during major CPI, NFP, and Fed events. Update Frequency: Daily (based on Treasury market data)
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Saraicy의