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MACD-V with RSI Gradient## Overview MACD-V is a volatility-adjusted momentum indicator that normalizes MACD using ATR. This version adds a dynamic RSI-based background gradient to highlight momentum zones visually. ## Features - **MACD-V Line**: EMA-based momentum normalized by ATR - **Signal Line**: EMA of MACD-V - **Histogram**: Color-coded based on slope and polarity - **RSI Gradient Background**: Shading from bright green (RSI > 75) to bright red (RSI < 30), with intermediate tones for momentum context ## Use Case Designed for 30-minute oil futures charts, this indicator helps identify: - Trend strength and reversals - Momentum zones using RSI shading - Pullback opportunities and exhaustion zones ## Inputs - Fast EMA (default: 12) - Slow EMA (default: 26) - Signal EMA (default: 9) - ATR Length (default: 26) ## Notes - RSI shading is purely visual—no alerts are wired in yet - Histogram renders behind MACD-V and Signal lines for clarity - Colors are tuned for dark charts ## Credits The MACD-v is an indicator created in 2015 by Alex Spiroglou and presented to the public in 2022 as a paper called: "𝗠𝗔𝗖𝗗-𝘃: 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘀𝗲𝗱 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺" It received the following Awards: 1. “𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐀𝐰𝐚𝐫𝐝” (2022), for advances in Active Investment Management from the National Association of Active Investment Managers (NAAIM) 2. “𝐂𝐡𝐚𝐫𝐥𝐞𝐬 𝐇. 𝐃𝐨𝐰 𝐀𝐰𝐚𝐫𝐝” (2022) for outstanding research in Technical Analysis, from the Chartered Market Technicians Association (CMTA) The RSI Gradient was my idea, but quite frankly, if I go looking around I suppose I'll find that others had the same idea. This is the first time I've ever published any code, so if I stepped on anyone's toes. I'm sorry.
Pine Script®指標
由sylvarocks提供
1
Wyckoff Accumulation / Distribution Detector (v3)🌱 Spring (Bullish Wyckoff Signature) 🧠 Definition A Spring happens when price dips below a well-defined support level, usually near the end of an accumulation phase, then quickly reverses back above support. This is not ordinary volatility — it's usually intentional by large operators (“Composite Man”) to: Trigger stop-losses of weak holders Create the illusion of a breakdown to scare late sellers in Absorb all remaining supply at low prices Launch the next markup leg once weak hands are flushed out 🧭 Typical Spring Characteristics Feature Behavior Location Near the bottom of a trading range after a decline Price Action Temporary breakdown below support, then sharp reversal above Volume Usually low to average on the break, indicating lack of real selling pressure. Sometimes a volume surge on the reversal as strong hands step in Candle Often shows a long lower wick, closes back inside the range Intent Shakeout of weak holders, allow institutions to accumulate more quietly 📈 Why It's Bullish Springs typically mark the final test of supply. If price can dip below support and immediately recover, it means: Selling pressure is exhausted (no follow-through) Strong hands are absorbing remaining shares A bullish breakout is often imminent 🪤 Upthrust (Bearish Wyckoff Signature) 🧠 Definition An Upthrust is the mirror image of a Spring. It happens when price pokes above a resistance level, usually near the end of a distribution phase, but then fails to hold above it and falls back inside the range. This is typically smart money distributing to eager buyers: Late breakout traders pile in Institutions sell into that strength Price collapses back into the range, trapping breakout buyers 🧭 Typical Upthrust Characteristics Feature Behavior Location Near the top of a trading range after a rally Price Action Temporary breakout above resistance, then quick reversal down Volume Frequently low on the breakout, suggesting a lack of real buying interest — or sometimes high but with no progress, showing hidden selling Candle Often shows a long upper wick, closes back inside the range Intent Trap breakout buyers, provide liquidity for institutional sellers to unload near highs 📉 Why It's Bearish Upthrusts show demand failure and supply swamping: Buyers cannot sustain the breakout. The sharp reversal signals large players are exiting. Typically precedes markdown phases or sharp declines. 📝 Trading Implications Spring → Often followed by a sign of strength rally → good long entry if confirmed with volume expansion and follow-through. Upthrust → Often followed by a sign of weakness → short setups, especially if the next rally fails at lower highs. The script looks for: 🌱 Spring: Price makes a low below recent pivot support, Closes back above, Does so on low volume → likely a shakeout. 🪤 Upthrust: Price makes a high above recent pivot resistance, Closes back below, On low volume → likely a bull trap.
Pine Script®指標
由padinroc提供
(SPY to ES) ETF→Futures Multi-Level (10 Levels + Select All)Converts selected ETF levels (SPY or QQQ) into equivalent futures levels (ES or NQ). Uses live price ratio between ETF and futures for real-time level translation. Supports 10 independent levels (A–J) with user-defined ETF price inputs. Provides checkboxes to toggle each level’s visibility or show all at once. Applies smoothing (ta.sma) to reduce noise from short-term price movement. Lets user customize each line’s color, width, and style (solid, dashed, dotted). Automatically updates lines as new bars form without user interaction. Uses persistent line objects to keep levels stable when scrolling or zooming. Adapts to either SPY→ES or QQQ→NQ depending on the “Convert SPY?” toggle. Draws clean horizontal lines without legend clutter for visual precision. SOME ONE PUBLISHED THIS FUNCTIONALITY FOR A CHARGE SO I MADE IT FREE. -rA
Pine Script®指標
由vKnit提供
Forecast PriceTime Oracle [CHE] Forecast PriceTime Oracle — Prioritizes quality over quantity by using Power Pivots via RSI %B metric to forecast future pivot highs/lows in price and time Summary This indicator identifies potential pivot highs and lows based on out-of-bounds conditions in a modified RSI %B metric, then projects future occurrences by estimating time intervals and price changes from historical medians. It provides visual forecasts via diagonal and horizontal lines, tracks achievement with color changes and symbols, and displays a dashboard for statistical overview including hit rates. Signals are robust due to median-based aggregation, which reduces outlier influence, and optional tolerance settings for near-misses, making it suitable for anticipating reversals in ranging or trending markets. Motivation: Why this design? Standard pivot detection often lags or generates false signals in volatile conditions, missing the timing of true extrema. This design leverages out-of-bounds excursions in RSI %B to capture "Power Pivots" early—focusing on quality over quantity by prioritizing significant extrema rather than every minor swing—then uses historical deltas in time and price to forecast the next ones, addressing the need for proactive rather than reactive analysis. It assumes that pivot spacing follows statistical patterns, allowing users to prepare entries or exits ahead of confirmation. What’s different vs. standard approaches? - Reference baseline: Diverges from traditional ta.pivothigh/low, which require fixed left/right lengths and confirm only after bars close, often too late for dynamic markets. - Architecture differences: - Detects extrema during OOB runs rather than post-bar symmetry. - Aggregates deltas via medians (or alternatives) over a user-defined history, capping arrays to manage resources. - Applies tolerance thresholds for hit detection, with options for percentage, absolute, or volatility-adjusted (ATR) flexibility. - Freezes achieved forecasts with visual states to avoid clutter. - Practical effect: Charts show proactive dashed projections instead of retrospective dots; the dashboard reveals evolving hit rates, helping users gauge reliability over time without manual calculation. How it works (technical) The indicator first computes a smoothed RSI over a specified length, then applies Bollinger Bands to derive %B, flagging out-of-bounds below zero or above one hundred as potential run starts. During these runs, it tracks the extreme high or low price and bar index. Upon exit from the OOB state, it confirms the Power Pivot at that extreme and records the time delta (bars since prior) and price change percentage to rolling arrays. For forecasts, it calculates the median (or selected statistic) of recent deltas, subtracts the confirmation delay (bars from apex to exit), and projects ahead by that adjusted amount. Price targets use the median change applied to the origin pivot value. Lines are drawn from the apex to the target bar and price, with a short horizontal at the endpoint. Arrays store up to five active forecasts, pruning oldest on overflow. Tolerance adjusts hit checks: for highs, if the high reaches or exceeds the target (adjusted by tolerance); for lows, if the low drops to or below. Once hit, the forecast freezes, changing colors and symbols, and extends the horizontal to the hit bar. Persistent variables maintain last pivot states across bars; arrays initialize empty and grow until capped at history length. Parameter Guide Source: Specifies the data input for the RSI computation, influencing how price action is captured. Default is close. For conservative signals in noisy environments, switch to high; using low boosts responsiveness but may increase false positives. RSI Length: Sets the smoothing period for the RSI calculation, with longer values helping to filter out whipsaws. Default is 32. Opt for shorter lengths like 14 to 21 on faster timeframes for quicker reactions, or extend to 50 or more in strong trends to enhance stability at the cost of some lag. BB Length: Defines the period for the Bollinger Bands applied to %B, directly affecting how often out-of-bounds conditions are triggered. Default is 20. Align it with the RSI length: shorter periods detect more potential runs but risk added noise, while longer ones provide better filtering yet might overlook emerging extrema. BB StdDev: Controls the multiplier for the standard deviation in the bands, where wider settings reduce false out-of-bounds alerts. Default is 2.0. Narrow it to 1.5 for highly volatile assets to catch more signals, or broaden to 2.5 or higher to emphasize only major movements. Show Price Forecast: Enables or disables the display of diagonal and target lines along with their updates. Default is true. Turn it off for simpler chart views, or keep it on to aid in trade planning. History Length: Determines the number of recent pivot samples used for median-based statistics, where more history leads to smoother but potentially less current estimates. Default is 50. Start with a minimum of 5 to build data; limit to 100 to 200 to prevent outdated regimes from skewing results. Max Lookahead: Limits the number of bars projected forward to avoid overly extended lines. Default is 500. Reduce to 100 to 200 for intraday focus, or increase for longer swing horizons. Stat Method: Selects the aggregation technique for time and price deltas: Median for robustness against outliers, Trimmed Mean (20%) for a balanced trim of extremes, or 75th Percentile for a conservative upward tilt. Default is Median. Use Median for even distributions; switch to Percentile when emphasizing potential upside in trending conditions. Tolerance Type: Chooses the approach for flexible hit detection: None for exact matches, Percentage for relative adjustments, Absolute for fixed point offsets, or ATR for scaling with volatility. Default is None. Begin with Percentage at 0.5 percent for currency pairs, or ATR for adapting to cryptocurrency swings. Tolerance %: Provides the relative buffer when using Percentage mode, forgiving small deviations. Default is 0.5. Set between 0.2 and 1.0 percent; higher values accommodate gaps but can overstate hit counts. Tolerance Points: Establishes a fixed offset in price units for Absolute mode. Default is 0.0010. Tailor to the asset, such as 0.0001 for forex pairs, and validate against past wick behavior. ATR Length: Specifies the period for the Average True Range in dynamic tolerance calculations. Default is 14. This is the standard setting; shorten to 10 to reflect more recent volatility. ATR Multiplier: Adjusts the ATR scale for tolerance width in ATR mode. Default is 0.5. Range from 0.3 for tighter precision to 0.8 for greater leniency. Dashboard Location: Positions the summary table on the chart. Default is Bottom Right. Consider Top Left for better visibility on mobile devices. Dashboard Size: Controls the text scaling for dashboard readability. Default is Normal. Choose Tiny for dense overlays or Large for detailed review sessions. Text/Frame Color: Sets the color scheme for dashboard text and borders. Default is gray. Align with your chart theme, opting for lighter shades on dark backgrounds. Reading & Interpretation Forecast lines appear as dashed diagonals from confirmed pivots to projected targets, with solid horizontals at endpoints marking price levels. Open targets show a target symbol (🎯); achieved ones switch to a trophy symbol (🏆) in gray, with lines fading to gray. The dashboard summarizes median time/price deltas, sample counts, and hit rates—rising rates indicate improving forecast alignment. Colors differentiate highs (red) from lows (lime); frozen states signal validated projections. Practical Workflows & Combinations - Trend following: Enter long on low forecast hits during uptrends (higher highs/lower lows structure); filter with EMA crossovers to ignore counter-trend signals. - Reversal setups: Short above high projections in overextended rallies; use volume spikes as confirmation to reduce false breaks. - Exits/Stops: Trail stops to prior pivot lows; conservative on low hit rates (below 50%), aggressive above 70% with tight tolerance. - Multi-TF: Apply on 1H for entries, 4H for time projections; combine with Ichimoku clouds for confluence on targets. - Risk management: Position size inversely to delta uncertainty (wider history = smaller bets); avoid low-liquidity sessions. Behavior, Constraints & Performance Confirmation occurs on OOB exit, so live-bar pivots may adjust until close, but projections update only on events to minimize repaint. No security or HTF calls, so no external lookahead issues. Arrays cap at history length with shifts; forecasts limited to five active, pruning FIFO. Loops iterate over small fixed sizes (e.g., up to 50 for stats), efficient on most hardware. Max lines/labels at 500 prevent overflow. Known limits: Sensitive to OOB parameter tuning—too tight misses runs; assumes stationary pivot stats, which may shift in regime changes like low vol. Gaps or holidays distort time deltas. Sensible Defaults & Quick Tuning Defaults suit forex/crypto on 1H–4H: RSI 32/BB 20 for balanced detection, Median stats over 50 samples, None tolerance for exactness. - Too many false runs: Increase BB StdDev to 2.5 or RSI Length to 50 for filtering. - Lagging forecasts: Shorten History Length to 20; switch to 75th Percentile for forward bias. - Missed near-hits: Enable Percentage tolerance at 0.3% to capture wicks without overcounting. - Cluttered charts: Reduce Max Lookahead to 200; disable dashboard on lower TFs. What this indicator is—and isn’t This is a forecasting visualization layer for pivot-based analysis, highlighting statistical projections from historical patterns. It is not a standalone system—pair with price action, volume, and risk rules. Not predictive of all turns; focuses on OOB-derived extrema, ignoring volume or news impacts. 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®指標
由chervolino提供
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®指標
由chervolino提供
KI-StageSpot V2KI-StageSpot V2 is a stage analysis and base-tracking tool that overlays key moving averages, highlights crossovers, and marks base highs, lows, and breakouts — now visible on both weekly and daily charts. It also displays each base’s depth and duration stats with customizable labels, alerts, and styling options. Settings: 1. Start Date → Manually select: → After Stage 1 lockout rally, or → 1 week before Stage 2’s first base 2. End Date → Choose up to your desired review point (for backtesting). 3. Label View → Compact or Expanded 4. Alert Levels → Identify and adjust for faulty bases
Pine Script®指標
由kunalin提供
XonTrades Exit Flow | by Bu-RashidThis indicator detects potential institutional exit points and reversal zones using a powerful confluence model combining: Volume spike analysis (institutional activity) CVD trend flips (smart money flow reversal) Price–CVD divergence (hidden accumulation/distribution) Liquidity sweep detection (stop-run exhaustion) When these elements align, the indicator highlights possible Exit Flow zones, signaling where smart capital may be closing or reversing positions. It’s optimized for XAU/USD (Gold) and NAS100 (Nasdaq) on 5-minute and 15-minute charts, with customizable strictness for traders who prefer early or confirmed signals. Recommended use: Apply as a confirmation layer alongside your main strategy to identify exhaustion points and institutional exits before trend reversals. — Developed and engineered by Bu-Rashid (XonTrades1UAE)
Pine Script®指標
由XonTrades提供
Multi-Resolution RSI with Machine LearningMulti-Resolution RSI Developed by imaclone.x. Last Updated: August 21st 2025 A single indicator that fuses my ML-RSI.ai pipeline with a classic multi-timeframe RSI. One script, dual-resolution oscillators if desired, plus a machine-learning similarity engine and modular signal-processing layers. What it does * Primary RSI augmented with KNN similarity engine (K, lookback, weighting). Feature embeddings include RSI magnitude, RSI momentum, volatility surface, regression slope, and price momentum vectors. * Adaptive smoothing stack: Kalman filter recursion, Double EMA cascades, or ALMA convolution. * Multi-resolution control for the primary oscillator timeframe. * Optional *second* RSI projected from any timeframe for hierarchical confluence. * Advanced visuals: upper/lower thresholds, midline, background regime highlighting, crossovers, and B/S event labels. * Color architectures: None, Trend-Following (50-line bifurcation), or Impulse (band-breach). Optional bar tinting for full-chart context. Inputs (groups) * Timeframe Settings: primary + secondary RSI TF/lengths. * Levels & Visuals: thresholds, highlights, cross events, B/S markers. * RSI Base: smoothing toggle, MA class, ALMA sigma. * KNN Machine Learning: enable, K neighbors, historical window, feature dimensionality, ML weighting. * Advanced Filtering: method + intensity. * Coloring: None, Trend-Following, Impulse. Signals * B flag when ML-RSI crosses upward through the lower threshold. * S flag when ML-RSI crosses downward through the upper threshold. * Secondary RSI = higher-timeframe confirmation, not standalone trigger. Usage notes * Raise ML weight + feature dimensionality for deeper similarity recognition; lower them for classic oscillator behavior. * Kalman recursion delivers adaptive, low-lag smoothing; Double EMA and ALMA yield stronger dampening. * Typical config: intraday primary RSI + higher-TF secondary RSI for regime anchoring. Changelog * v6 merge: Unified CM-style MTF RSI framework with my KNN-enhanced kernel and filter stack. One composite indicator replaces multiple scripts. Credits * MTF band logic inspired by earlier open-source frameworks. * ML kernel and implementation by imaclone.x. Disclaimer For research and algorithmic experimentation only. No signals guaranteed. And please kindly, for the love of God, DYOFR.
Pine Script®指標
由imaclone提供
Prime Market Profile [xontrades1uae]indicator designed for high-precision intraday and scalping analysis. It dynamically maps market structure, value areas (VAH/VAL), and point of control (POC), providing a clear visual view of where liquidity, balance, and breakout levels form throughout the session. Features: Real-time TPO construction for active sessions. Automatic or custom tick calibration for gold, indices, or forex. Highlighted POC, Value Area, and Initial Balance Range. Smart visual clustering to detect congestion, breakout zones, and key volume nodes. Compatible with short timeframes (1m–15m) for scalpers and day traders. Signature: Developed & customized by Bu-Rashid | xontrades1uae “Precision. Liquidity. Control.” 💹
Pine Script®指標
由XonTrades提供
NFTs vs SOL - Momentum Divergence DetectionNFTs vs SOL – Momentum Divergence Detection: See when NFT activity (proxy volumes) leads or lags SOL momentum. This is an indicator that I designed to compare Solana’s price momentum with aggregated NFT market activity. It converts both into standardized z-scores for direct comparison, then measures their divergence. The resulting signal highlights when NFT trading activity begins to move ahead of, or behind, SOL price action. Core Function: • Measures SOL’s momentum using Rate of Change (ROC), then standardizes and smooths it. • Combines multiple NFT-related token volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optionally ME and PENGU), applies log normalization, weighting, and smoothing to form a composite NFT activity score. • Plots their difference (NFT Z − SOL Z) as a histogram to visualize lead/lag phases. Interpretation: • div > 0: NFT activity exceeds SOL momentum → potential early signal for upside. • div < 0: NFT activity trails SOL momentum → possible cooling or lag. • Zero-line crosses: indicate leadership changes between NFTs and SOL. On-Chart Visualization: • Orange histogram: divergence (lead/lag strength). • Purple line: NFT composite z-score. • Blue line: SOL momentum z-score. • Green/Red markers: lead or lag signals. • Top-right table: rolling correlation and active proxies. Usage: Apply to 30m–1D charts. Enter exchange-prefixed NFT tickers (e.g., KUCOIN:BLURUSDT). Adjust weights to emphasize liquid tokens. Interpret lead/lag crosses within the broader market structure, using trend and volume as confirmation. Recommended Presets: • Swing trading: 1D or 4H charts, smoother settings for stability. • Active setups: 2H or 1H charts, lower smoothing for responsiveness. Key Notes: • Requires valid tickers and sufficient lookback history. • Use crosses as context, not direct trade signals. • High correlation = synchronous behavior; low correlation = decoupled regime. Summary: A contextual radar for Solana traders tracking NFT market flow. It helps identify when NFT trading activity begins leading or lagging SOL’s momentum which often signals shifts in speculative energy and trend strength. Copyright © 2025 imaclone (Zen Silva). All rights reserved. License: Private. No copying, sharing, or derivative works.
Pine Script®指標
由imaclone提供
RSI DD - RSI Divergence DetectorRSI DD: detects regular and hidden RSI divergences and plots them directly on the RSI: • Regular Bullish: price LL vs RSI HL • Hidden Bullish: price HL vs RSI LL • Regular Bearish: price HH vs RSI LH • Hidden Bearish: price LH vs RSI HH Controls: RSI length and source, pivot left/right, min/max pairing range, on/off per divergence type, optional signal overlay, OB/OS levels. RSI DD is best used as a context or confirmation tool with structure and risk rules. It also works on any timeframe, nonetheless higher TF bring cleaner signals. Copyright © 2025 imaclone (Zen Silva). All rights reserved. License: Private. No copying, sharing, or derivative works. Use limited to this TradingView script. Contact owner for access. For access, you can reach out to me via email, twitter, or dms. x.com subscord.com
Pine Script®指標
由imaclone提供
EDGAR Weekly Overview (EWO)EDGAR Weekly Overview (EWO) helps you trade with confidence — no more guessing where price will go next. This indicator clearly shows where the market is likely to reach, reject, or bounce, using dynamic weekly base, support, and resistance levels. You’ll instantly see key zones for your take profit (TP) and stop loss (SL), helping you plan trades with precision instead of emotion. 🔒 Invite-Only Script – access available only to authorized users.
Pine Script®指標
由goldbtcwhales提供
EDGAR 1-Hour Overview (E1H)EDGAR 1-Hour Overview (E1H) This indicator is designed for precision sniper entries by using 1-hour institutional reference levels to guide trades executed on the 1-minute timeframe. It combines three core systems in one: 📊 1-Hour Base Overview — detects key institutional zones where price is likely to react or reject. ⚡ EMA Trend Filter (2 & 8) — confirms directional bias for intraday scalping and momentum trading. 🐋 Whale Detector — identifies sudden volatility spikes and large orders (institutional buying or selling) using adaptive standard-deviation filters. With the E1H Overview, you no longer need to guess where the market will bounce or reverse — it highlights real-time zones where big players (whales) are entering positions, allowing you to synchronize your 1-minute sniper entries with institutional movement.
Pine Script®指標
由goldbtcwhales提供
EDGAR 4-Hour Overview (E4H)EDGAR 4-Hour Overview (E4H) is a professional multi-timeframe indicator that shows both 4-hour bases and daily overview reference levels, giving traders a clear vision of where price is likely to bounce, reject, or continue. The system automatically detects Support (S1–S3), Resistance (R1–R3), and the 4H Base (Main Overview Level), displayed directly on your chart with a clean dashboard that also includes a Daily Base reference for higher-timeframe confirmation. Designed for gold and forex scalpers, swing traders, and institutional-style analysts, this indicator helps you: Identify key reaction zones before they happen Align 4H movement with daily direction Instantly measure price distance from support or resistance Trade confidently without guessing where price will reject or reverse 🔒 Invite-Only Script — exclusive access for verified EDGAR traders.
Pine Script®指標
由goldbtcwhales提供
EDGAR Daily Overview (EDO)EDGAR Daily Overview (EDO) is a professional all-in-one market guide that helps traders identify where price is likely to move — no more guessing. The indicator automatically detects key daily base, support (S1–S3), and resistance (R1–R3) levels, allowing you to instantly see potential bounce, rejection, or breakout zones. Combined with advanced tools such as trendlines, Ichimoku Cloud, MACD, RSI, and Volume Strength, EDO gives you a full real-time picture of the market’s current direction. Whether you trade intraday or short-term swings, this tool helps you understand where the market is heading today — empowering you to plan precise entries, take profits, and manage risk effectively. 🔒 Invite-Only Script – exclusive access for authorized users only.
Pine Script®指標
由goldbtcwhales提供