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Cycles

Monthly Seasonality AnalyzerThis indicator analyzes historical performance/seasonality of a chosen month, from date of inception to present. Users can choose any calendar month via dropdown menu. For each historical month selected, it will calculate the monthly percentage gain/loss, range(volatility), and average gain/loss percentage, average range percentage across all recorded years. Positive returns are colored green and negative returns are red. Also, calculates if the selected month was bullish(open>close) or bearish. When current chart month matches the selected month, it shows the in-progress range as well. Data is collected from 1930 to present. Results are shown in vertical and horizontal tables. If the vertical table exceeds a 36 years, the script automatically switches to horizontal table to display all the data, with option to change table position. Overall this tool is valuable for seasonality research, such as Santa Rally, May Go Away and swing trading/ position trading to capture the monthly PO3 range. Most seasonality indicators show all 12 months at once or use daily bars. This one zooms in deeply on one month only, providing detailed per-year breakdowns, accurate completed-month stats, and a practical live range display. The script uses arrays to store years, gains, and ranges. Uses table.new(), table.cell(), table.merge_cells() for easily readable result display. Code handles the current in-progress month separately (shows live range without including it in historical averages). **Script will not run on any timeframe other than monthly and displays error otherwise. Script is best used on spot and not futures.
Pine Script® indicator
by Eightgent7
Harmonic Rzin An advanced indicator for analyzing market structure and harmonic formations. It delivers a clean, structured view of price action, focusing on signal quality and reducing market noise. The indicator is exploratory in its current version and is actively being developed to become anticipatory in future releases. Settings Notes • Depth controls the size of price movements the indicator responds to. • Lower values capture shorter, faster moves. • Higher values focus on larger, clearer market swings. • Suggested values by timeframe: • 15m: 10 – 15 • 1H: 15 – 25 • 4H: 25 – 40 • 1D: 40 – 70 Depth can be adjusted based on timeframe and trading style for optimal results. This indicator is a decision-support tool and not a trading recommendation. ⸻ Coming soon… ICT like you’ve never seen before. The journey continues — all updates are shared on: X | @Rzin_Bitcoin مؤشر لتحليل البنية السعرية والتكوينات التوافقية يوففر قراءة منظمة وهادئة لحركة السوق مع التركيز على جودة الإشارة وتقليل الضجيج. المؤشر اكتشافي في مرحلته الحالية ويجري تطويره ليصبح استباقيا في الإصدارات القادمة. ملاحظات الإعداد • إعداد العمق (Depth) يتحكم في حجم الحركة السعرية التي يعتمد عليها المؤشر. • قيم أصغر تلتقط حركات أقصر، وقيم أكبر تركز على الحركات الأكبر والأوضح. • القيم المقترحة حسب الفريم: • 15 دقيقة: 10 – 15 • ساعة: 15 – 25 • 4 ساعات: 25 – 40 • يومي: 40 – 70 يمكن تعديل العمق حسب الفريم وأسلوب التداول للحصول على أفضل نتيجة. المؤشر أداة تحليلية مساعدة وليست توصية تداول 🤌🏻 | قريبا … ICT كما لم تره من قبل | رحلة المؤشر مستمرة وكل جديد يشارك عبر: X | @Rzin_Bitcoin
Pine Script® indicator
by Rzin_bitcoin
Previous Periods Highs and Lows + LabelsThis indicator plots the high and low prices from the previous Day, Week, and Month as horizontal lines on any timeframe chart. It provides clear visual reference to key historical support and resistance levels commonly used by traders for: breakout and reversal identification stop-loss placement target setting Features include distinct colors for each period and optional price labels displayed on the right side of the chart for quick reference.Simple, non-repainting, and optimized for both intraday and swing trading setups.
Pine Script® indicator
by Cag100
1
MTT Cyclical vs Defensive Z-ScoreThe MTT Cyclical vs Defensive Z-Score is a sophisticated sentiment and rotation indicator designed to measure the relative strength of "risk-on" sectors against "risk-off" havens. It calculates a ratio between two distinct baskets: Cyclicals (Consumer Discretionary, Industrials, Materials) and Defensives/Commodities (Consumer Staples, Health Care, Utilities, and the DBC Commodity Index). By applying a Z-score calculation to this ratio, the indicator identifies how many standard deviations the current market leadership is away from its mean. This transforms a simple ratio into a powerful tool for identifying market extremes and potential pivot points. How the Indicator Works The script follows a logical three-step process to quantify market sentiment: Basket Comparison: It pits growth-sensitive sectors (which thrive during economic expansion) against defensive sectors and commodities (which act as anchors or inflation hedges). Mean Reversion: It uses a Simple Moving Average (SMA) and Standard Deviation over a 20-period lookback to determine the "normal" range for this relationship. Standardization: The resulting Z-score oscillates around a zero line. Green columns represent periods where cyclicals are outperforming their recent average, while red columns indicate defensive leadership. How to Use It for Trading The Z-score serves as a barometer for overextended market moves: Identifying Extreme Optimism: When the Z-score crosses above +2.0, cyclicals are significantly overextended. This suggests the "risk-on" move may be exhausted, signaling a potential pullback or a rotation back into defensive stocks. Identifying Extreme Fear: When the Z-score drops below -2.0, defensives and commodities are heavily favored. This often coincides with market bottoms or "washouts," suggesting that a bounce in cyclical sectors (and the broader market) may be imminent. Trend Confirmation: Crossing the 0.0 (Mean) line acts as a momentum shifter. Moving from negative to positive suggests a fresh bullish rotation is gaining traction.
Pine Script® indicator
by mad_tom_trading
Previous D/W/M OHLC LevelsPlots the previous completed Daily, Weekly, and Monthly Open, High, Low, and Close prices as horizontal levels on any timeframe. Clean, lightweight, and trader-friendly: • Previous Day (PDH/PDL) – light blue • Previous Week (PWH/PWL) – gold • Previous Month (PMH/PML) – orange-red Great for support/resistance, breakout strategies, mean reversion, and keeping higher-timeframe context visible at a glance. Simple, no repainting, works on all instruments and timeframes.
Pine Script® indicator
by Cag100
Ultimate Key Liquidity LevelsThe Ultimate Key Liquidity Levels indicator is a comprehensive, professional-grade tool designed for traders seeking to identify and visualize critical price levels across multiple timeframes and sessions on TradingView. This clean and simple indicator overlays key liquidity zones directly on your chart, helping you spot potential support, resistance, and reversal areas with ease. Functionality At its core, the indicator plots essential liquidity levels derived from daily, weekly, and major trading sessions (Asia, London, New York). It includes highs, lows, opens, closes, and midpoints for both current and previous periods, allowing you to track dynamic price action in real-time. Advanced features like label consolidation merge nearby levels into intuitive combined labels (e.g., "CDH/PWH"), while optional mitigation removes touched or breached levels after a configurable delay. Built-in alerts notify you of price proximity, touches, or closes through any level, ensuring you never miss key market interactions. Features Multi-Timeframe Levels: Displays Current/Past Day (High/Low/Open/Close), Current/Past Week (High/Low/Open/Close), and Session-specific (Asia/London/NY High/Low/Mid) levels. Customization Options: Toggle individual levels, adjust styles (colors, widths, dashed/solid/dotted lines), and shift lines/labels with global offsets for a personalized view. Consolidation and Zones: Automatically combines close levels with customizable separators and thresholds; highlights merged areas with colored zones for better visibility. Mitigation System: Optionally fade or remove levels once price interacts with them (via touch or close-through methods), with styling for mitigated lines. Session Timezone Support: Configurable start/end times for Asia, London, and NY sessions in your preferred timezone. Alert Integration: Set notifications for price approaching within X ticks, touching, or closing beyond any level—compatible with TradingView's pop-up, email, and mobile alerts. Benefits and Advantages This indicator stands out for its comprehensive coverage of liquidity hotspots, empowering you to make informed decisions based on institutional-level price points. Its professional-grade precision reduces chart clutter through smart consolidation, delivering a clean and simple user experience even on volatile instruments. Advantages include enhanced risk management (e.g. more accurate stop loss positioning around key levels), improved entry/exit timing, and seamless integration with any trading strategy— all without overwhelming your chart with unnecessary "clutter". Unlike basic pivot and swing tools, it offers session-specific insights and alerts, saving time and minimizing missed opportunities. Use Cases Day Trading: Monitor intraday session highs/lows for breakout or reversal setups during Asia, London or NY session opens. Swing Trading: Use weekly levels like Previous Week Close (PWC) to identify longer-term support/resistance on higher timeframes. Scalping: Leverage proximity alerts to enter trades as price nears consolidated zones, ideal for high-frequency, high-precision strategies. Risk Management: Set stops or targets around key levels to protect positions in forex, stocks, futures, or crypto markets. Backtesting and Analysis: Visualize historical liquidity for strategy optimization, with extendable lines for forward projections. Whether you're a beginner simplifying your analysis or a pro refining edge detection, Ultimate Key Liquidity Levels provides a robust, user-friendly solution to elevate your trading. Add it to your chart today and unlock clearer market insights!
Pine Script® indicator
by d_day_80
Renko Velocity Meter [Chris Chapman]Here is the comprehensive copy for your Renko Velocity Meter indicator. This is structured to be used in a TradingView description, a manual, or a product listing. Renko Velocity Meter What is this Indicator? The Renko Velocity Meter is a specialized momentum dashboard designed strictly for Renko Charts. Unlike standard oscillators (like RSI or MACD) which often fail on Renko due to the lack of time-based data, this tool uses "Brick Physics" to measure the actual speed and efficiency of price movement. It answers the most critical question in Renko trading: "Is this a real trend, or just a choppy consolidation?" Instead of giving you lagging signals, it provides a real-time Velocity Score (0-100) displayed on a dashboard directly on your chart. It automatically filters out "fake" moves and highlights high-probability "TURBO" conditions when the market enters a powerful extension phase. How It Is Calculated The Velocity Score is derived from a proprietary blend of three distinct mathematical checks: 1. Trend Efficiency ("The Snake Logic") The script calculates the ratio between the Net Price Move and the Total Distance Traveled over a lookback period. High Efficiency: Price is moving in a straight line (Strong Trend). Low Efficiency: Price is winding back and forth (Chop/Range). 2. Momentum Deviation (Auto-Brick Detection) The indicator automatically detects your specific Renko brick size (whether 2 pips, 10 points, or custom) without manual input. It then measures how many "Bricks" the price has pulled away from the baseline Moving Average. If price is 6+ bricks away from the average, it signals a high-momentum extension. 3. HTF Trend Lock (Multi-Timeframe Filter) It internally checks a Higher Timeframe (default: 15-minute) to ensure you are trading with the dominant trend. HTF LOCK: The Renko trend and the 15m trend are aligned (Green). HTF MIX: The trends are conflicting. The score is automatically capped at 60 to prevent false signals. 4. The "Counter-Trend" Penalty To prevent buying tops or selling bottoms, the script instantly penalizes the score if a "Retracement Brick" forms. Example: If the trend is UP, but a RED brick forms, the score is forced down to the "Yellow/Neutral" zone until the trend resumes. Requirements To use this indicator effectively, you must meet the following chart conditions: Chart Type: Renko (This is mandatory. The math relies on fixed-size bricks). Timeframe: Works on all timeframes, but optimized for standard scalping setups (e.g., 2-pip fixed bricks on EURUSD/Gold). Data Feed: High-quality data is recommended. For maximum precision, use a 1-second (1s) interval setting for your Renko box generation if your TradingView plan allows it. The Inputs (Settings) You can customize the sensitivity of the meter to fit your specific asset class: Trend Efficiency Period (Default: 14): The number of bricks used to calculate how "straight" the trend is. Lower numbers make the score faster; higher numbers make it smoother. Momentum Baseline (Default: 20): The length of the internal Moving Average used as the "mean" price. Max Momentum in Bricks (Default: 6): How many bricks of extension are required to hit a "100% Score"? Increase this for volatile assets like Gold or Bitcoin. HTF Support (Default: 15): The Higher Timeframe used for the Trend Lock filter. Meter Position: Choose where the dashboard appears on your screen (Top Right, Bottom Left, etc.). Dashboard Legend GREEN (Score > 70): TURBO – Strong trend alignment. High probability of continuation. YELLOW (Score 50-70): TREND – Active trend, but potentially stalling or retracing. RED (Score < 50): CHOP – No clear direction or conflicting signals. Stay flat. POSITION: Shows the current logic state (LONG/SHORT/FLAT).
Pine Script® indicator
by cechapman
Timbuktu V - Next Candle ProbabilityThis indicator calculates the probability that the next candle will be bullish or bearish by integrating multiple technical and market flow factors: • Trend (EMA + ADX) • Relative volume •Order Flow (proxy) • Accumulated pressure • Detection of FVG (Fair Value Gaps) The result is presented as a probabilistic bias in real time, with clear visualization on the chart: • Green/red arrows for FVG • Bullish and bearish probability lines • Background shading according to the dominant bias • Label on the last bar with percentages and total score This script does not generate direct buy/sell signals, but provides a quantitative reading of market bias, useful as an additional filter to confirm setups, evaluate entries, and strengthen risk management. Configurable and flexible, it adapts to different assets and trading styles.
Pine Script® indicator
by mrossi71
SMT Validador - GKSMT.FXThe validation indicator was created by gksmt.fx (this is his Instagram username). After years of studying market manipulation, reviewing various documents on correlation breakdowns and everything related to correlated markets, he created the indicator that validates such correlation. It doesn't indicate whether the asset underwent market manipulation; it validates whether what occurred during market manipulation has the true characteristics of market manipulation.
Pine Script® indicator
by Thelordgk
Phantom Trend Direction [Fast Bias] PT-IND-TRD.001 Overview Phantom Trend Direction – Fast Bias is a trend bias and market state indicator, designed to identify the dominant directional context of the market rather than generate buy or sell signals. The script focuses on determining whether price behavior is directionally aligned, counter-directional, or neutral, and visualizes that state with confidence-weighted visuals. This tool is intended to be used as a context filter alongside an existing trading strategy. How the Script Works ? The indicator determines market bias by combining structure, momentum, and volatility normalization into a single state logic: Structural Direction (EMA Slope) An exponential moving average is used to define the underlying price structure. The slope of the EMA determines whether price structure is rising, falling, or flat. Momentum Confirmation (RSI Thresholds) RSI is used to confirm whether momentum supports the structural direction. Only when momentum is aligned with structure does the script consider a directional bias valid. State Logic with Minimum Hold Filter A simple state machine classifies the market into three states: Up, Down, or Range. A minimum state hold filter is applied to reduce noise and avoid rapid state flipping during low-quality transitions. Volatility-Normalized Confidence Score Confidence is calculated using: The normalized distance of price from the structural average (ATR-based) The strength of momentum away from equilibrium This produces a confidence score (0–100) that reflects how strongly price behavior supports the current bias, not the probability of a trade outcome. Visualization & Outputs Color-coded trend ribbon representing the current bias state Opacity-based confidence mapping, where higher confidence produces stronger visual emphasis HUD overlay displaying: Current market state Confidence score State stability information Mini timeline showing recent bias history for context awareness All visual elements are optional and can be adjusted or disabled from the settings panel. How to Use Use the indicator as a trend filter or directional context tool Align trade ideas only with the displayed bias state Avoid initiating trades during neutral or low-confidence phases Combine with your own entry and risk management rules This script is suitable for trending market conditions and higher-timeframe directional analysis. What This Script Is NOT It is not a buy/sell signal generator It does not predict price movements It does not guarantee profitable outcomes It should not be used as a standalone trading system Originality & Purpose The originality of this script lies in its state-based bias classification combined with volatility-normalized confidence visualization, rather than relying on a single indicator output. The goal is to provide traders with a clear and stable representation of market direction quality, not trade execution signals.
Pine Script® indicator
by Phantom_Trader_Global
Fourier Motion Radar 2.0Fourier Motion Radar 2.0 (FMR 2.0) — NASDAQ 10-Minute Motion Shift Radar FMR 2.0 is an overlay indicator that highlights bullish/bearish motion shifts using a combination of: a Savitzky–Golay style quadratic fit (to obtain a smoothed value plus first/second derivatives), and a Fourier window scan (to estimate a dominant cycle length and scale “motion strength”). It then draws a simple, visual risk framework on the chart: a Stop (SL) box and a Target (TP) box at each signal, and a setup category label inside the TP box: SMALL / MEDIUM / LARGE (based on candle delta in points). Optimized for NASDAQ on the 10-minute timeframe (M10). The default thresholds and candle-size bands are tuned for NASDAQ M10 behavior. Using other symbols/timeframes may require recalibration of the point-based thresholds and multipliers. What you see on the chart 1) Signal candle highlight When a new motion shift starts, FMR 2.0 can color the entire signal candle (body + wick + border): Bullish motion start: green candle + “LONG” marker Bearish motion start: magenta candle + “SHORT” marker These are state-change markers (start of a detected impulse), not a guarantee of continuation. 2) SL / TP boxes On each signal, the script draws: SL box (red) — the stop zone TP box (green) — the target zone The boxes are projected forward by a configurable number of bars (“box width”) so they remain visible for review. 3) Category label (SMALL / MEDIUM / LARGE) The TP box label indicates which candle-size band the signal candle falls into: SMALL MEDIUM LARGE or “Skip” (if the candle does not fit the predefined bands) Only SMALL/MEDIUM/LARGE are “in-band” setups. “Skip” means the candle size is outside the intended operating range for the default calibration. How signals are calculated (high level) A) Savitzky–Golay style quadratic fit (smoothing + derivatives) The script fits a quadratic curve over a rolling window and evaluates it at the most recent bar: d1 (first derivative) approximates direction/slope (momentum direction) d2 (second derivative) approximates curvature/acceleration (momentum change) B) Fourier dominant cycle estimate Over a separate window, the script scans harmonic components up to a maximum index and picks the strongest amplitude. This provides: a dominant frequency, converted into a dominant period estimate C) Motion “start” conditions Signals appear when a motion state turns on (and was off on the previous bar), using thresholding on normalized derivative values. Important transparency note: This is a rule-based indicator. Like all indicators, it can produce false positives, especially in choppy or low-volatility regimes. SL/TP framework (how the boxes are sized) 1) Candle “delta” measurement You can choose the delta mode: Body (Open–Close): abs(close - open) Range (High–Low): high - low 2) Point normalization Delta is converted to points using the symbol’s minimum tick: deltaPts = delta / syminfo.mintick This makes the candle-size bands portable across symbols to a degree, but tick size and broker feed differences still matter. 3) Category selection (SMALL / MEDIUM / LARGE) If candle scaling is enabled, the script selects SL and TP multipliers from the band the candle belongs to. If the candle does not belong to any band, the label shows “Skip”. 4) Box distances SL distance = delta * SL_multiplier TP distance = SL distance * TP_R_multiplier This creates a consistent R-multiple structure per category (SMALL / MEDIUM / LARGE), intended for structured testing and comparison. How to use (recommended workflow) Open NASDAQ on 10-minute (M10) using the specified data feed you trust. Add FMR 2.0 to the chart. Watch for a Bullish / Bearish motion start marker and the colored signal candle (optional). Check the TP label: SMALL / MEDIUM / LARGE = in-band setup Skip = outside the tuned candle-size bands (optional to ignore) Use the SL/TP boxes as a visual structure for evaluation or automation rules. Backtest tip (manual): If reviewing historical signals, use “Box history” so previous boxes remain on the chart. Limitations & compliance notes (please read) No performance claims: This script does not promise profitability, accuracy, or future results. Markets change and outcomes vary. Not investment advice: This is a technical analysis tool for educational/research purposes. Feed/timeframe sensitivity: Default candle-size thresholds are tuned for NASDAQ M10; other instruments/timeframes may require adjusting point bands and multipliers. Touch logic / bar ambiguity: If you are manually judging whether TP/SL would be hit, remember that on the same bar both could be touched depending on intrabar path; define a consistent evaluation rule if you are collecting statistics. No “future leak” behavior: The script is designed without lookahead access to future bars (no lookahead in security calls). Inputs overview (what to adjust first) If you want to adapt the tool: Candle scaling bands (points): SMALL/MEDIUM/LARGE min/max thresholds Box calculation mode: Body vs Range SL/TP multipliers per band: to change risk/target structure Derivative threshold: controls how selective motion starts are =============================== Magyar változat =============================== Fourier Motion Radar 2.0 (FMR 2.0) – Leírás A Fourier Motion Radar 2.0 (FMR 2.0) egy fordulókra és impulzusváltásokra épülő jelző-indikátor, ami a piac mozgásának “állapotváltásait” próbálja elkapni. A rendszer két fő elemből dolgozik: Savitzky–Golay jellegű simítás + deriváltak (irány és gyorsulás), Fourier-alapú domináns periódus becslés (a mozgás karakterének megértéséhez). A jeleket a charton LONG / SHORT indikációval jelzi, és automatikusan SL/TP dobozokat rajzol fix szabályok alapján. ⚠️ Fontos: az FMR 2.0 NASDAQ 10 perces (M10) charton lett optimalizálva. Más instrumentumon / timeframe-en is működhet, de a beállítások és a candle-size sávok NAS100 M10 környezethez vannak hangolva. Mit fogsz látni a charton? 1) Jelgyertya színezés LONG jel esetén a jelgyertya zöldre színeződik. SHORT jel esetén magenta/rózsaszín színezést kapsz. Ez mindig az a gyertya, ahol a mozgás “induló” állapotváltása megtörténik. 2) SL / TP dobozok (a belépő környezet) A jelgyertya zárásánál (entry) az indikátor kirajzol: egy piros SL boxot (stop zóna), egy zöld TP boxot (target zóna). A dobozok szélességét (hány barig látszanak) külön tudod állítani. 3) TP doboz felirat: PICI / KÖZEPES / NAGY A TP doboz közepén megjelenő felirat azt mutatja, hogy a jelgyertya mérete alapján melyik kategóriába esik a setup: PICI KÖZEPES NAGY vagy “Hagyd ki :)” (ha nem illeszkedik a megadott sávokba) Ez a kategória határozza meg, hogy a rendszer milyen SL szorzót és milyen R cél (TP) többszöröst használ. A jel logikája röviden Az indikátor a simított ármozgásból számolt első derivált (d1) és második derivált (d2) alapján különbözteti meg a bullish/bearish mozgásindulást: Bull start (LONG): amikor a mozgás erősödik felfelé, és a gyorsulás is pozitív. Bear start (SHORT): amikor a mozgás erősödik lefelé, és a gyorsulás is negatív. A jelek célja nem trendkövetés, hanem inkább a fordulók/impulzusváltások elkapása — ezért trendfilter szándékosan nincs “ráégetve”. SL/TP számítás – hogyan működik? A rendszer a jelgyertya méretét méri, és ebből számol: 1) Gyertya “delta” Alapértelmezésben a Body (Open–Close) delta számít: delta = abs(close - open) Opcióként választható a teljes range is: delta = high - low 2) Candle-size kategória pontokban A delta pontokra van normalizálva (hogy instrument- és tickfüggetlenebb legyen): deltaPts = delta / syminfo.mintick Ez kerül összevetésre a sávhatárokkal (PICI / KÖZEPES / NAGY). 3) SL távolság SL = delta * SL_mult (kategória szerint) 4) TP távolság (fix R cél) TP = SL * TP_R (kategória szerint) Az eredmény: minden setupnál fix R cél (pl. PICI esetén tipikusan nagyobb R, KÖZEPES/NAGY konzervatívabb). Hogyan használd (gyakorlatban)? Ajánlott használat (NASDAQ M10) Nyisd meg a NAS100 / NASDAQ chartot 10 perces timeframe-en. Add hozzá az FMR 2.0 indikátort. Várd meg a LONG/SHORT jelzést (jelgyertya + shape). Nézd meg a TP doboz feliratát: PICI/KÖZEPES/NAGY. A dobozok megadják a strukturált SL/TP keretet. Tipp: A “Hagyd ki :)” felirat azt jelzi, hogy a jelgyertya mérete nem illik a kalibrált sávokba — ezeket sokan egyszerűen kihagyják. Backtest / vizuális ellenőrzés Az indikátor tud “history módot”: bekapcsolva megtartja a múltbéli boxokat (max darabszám beállítható), így könnyen visszanézhető a jelek minősége és a setupok viselkedése. Fontos megjegyzések Optimális környezet: NASDAQ / NAS100 M10 (erre lett hangolva). Más instrumentum/timeframe esetén érdemes a candle-size sávokat és a szorzókat újrakalibrálni. Az indikátor jelző (overlay) eszköz; a konkrét execution/pozíciókezelés a felhasználó (vagy a robot) feladata. Nem pénzügyi tanácsadás.
Pine Script® indicator
by BorondePali
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise? Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price. Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise. Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Pine Script® indicator
by sabritonyali
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action. The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors. Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses. Methodology and calculation framework The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability. The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components. The model incorporates quality filters designed to enhance signal reliability. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings. Professional application and portfolio integration Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months. For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment. The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically. Practical implementation for individual investors The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence. Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework. The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing. Trading behavior and strategy characteristics The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence. The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support. Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge. Suitability and implementation requirements The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives. The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits. For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337. Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48. Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531. Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207. Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720. Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384. Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850. Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426. Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470. Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
Pine Script® indicatorPaid script
by EdgeTools
BTC DenominatorBTC Denominator Indicator - Comprehensive Guide Overview The BTC Denominator is an advanced adaptive indicator that combines multiple sophisticated technical analysis concepts to provide dynamic, market-responsive signals. It uses Renko-based price filtering with adaptive RSI to compare two assets simultaneously. Core Components 1. Market Rhythm Detector What it does: Identifies the current market cycle length (8-50 periods) Why it matters: Markets don't move in fixed patterns. This algorithm detects whether the market is in fast cycles (trending) or slow cycles (ranging) Adaptive advantage: All other calculations adjust based on the current market rhythm 2. Adaptive ATR (Average True Range) Uses the market rhythm to calculate volatility Dynamically adjusts the Renko brick size More responsive than fixed-period ATR 3. Renko Bricks Purpose: Filters out time and small price noise How it works: Only creates a new "brick" when price moves by the ATR amount Benefit: Reduces false signals and focuses on significant price movements 4. Adaptive RSI Traditional RSI uses a fixed period (usually 14) This RSI adapts its period based on the market rhythm More responsive in fast markets, smoother in slow markets The Comparison Asset - Why It's Significant Default: BTCDOMUSDT.P (Bitcoin Dominance) The comparison asset is the secret sauce of this indicator. Here's why: For Altcoin Trading: Bitcoin Dominance (BTC.D) shows when money flows between Bitcoin and altcoins High BTC.D RSI: Money flowing to Bitcoin → Altcoins may weaken Low BTC.D RSI: Money flowing from Bitcoin → Altcoins may strengthen RSI Spread: Shows relative strength between your asset and BTC dominance Trading Logic: PRIMARY (Altcoin) RSI = 70 (overbought) COMPARISON (BTC.D) RSI = 30 (oversold) RSI Spread = +40 (bullish for altcoin) This suggests the altcoin is strong while Bitcoin dominance is weak - a powerful confirmation for altcoin longs. How to Trade with This Indicator Setup 1: Trend Confirmation Entry Signals: Bullish Entry (Long) Primary RSI crosses above 50 (momentum shift) Comparison RSI below 50 or declining RSI Spread is positive and widening Renko brick color turns green Bearish Entry (Short) Primary RSI crosses below 50 Comparison RSI above 50 or rising RSI Spread is negative and widening Renko brick color turns red Setup 2: Divergence Trading Bullish Divergence: Price makes lower lows Primary RSI makes higher lows Comparison RSI in overbought zone (showing weakness in competing narrative) Action: Look for long entry on RSI cross above 30-35 Bearish Divergence: Price makes higher highs Primary RSI makes lower highs Comparison RSI in oversold zone Action: Look for short entry on RSI cross below 65-70 Setup 3: RSI Spread Strategy The spread (Primary RSI - Comparison RSI) reveals relative strength: Spread > +30: Strong bullish divergence - primary asset outperforming Spread > +50: Extreme strength - consider taking profits or tight stops Spread < -30: Strong bearish divergence - primary asset underperforming Spread < -50: Extreme weakness - strong short signal or avoid longs Setup 4: Overbought/Oversold with Context Traditional approach (less effective): RSI > 70 = Sell RSI < 30 = Buy BTC Denominator approach (more effective): Long Setup: Primary RSI: 25-35 (oversold) Comparison RSI: 65-75 (overbought) Interpretation: Your asset is oversold while Bitcoin dominance is overbought Action: Strong buy signal - money likely to flow from BTC to your asset Short Setup: Primary RSI: 65-75 (overbought) Comparison RSI: 25-35 (oversold) Interpretation: Your asset is overbought while BTC dominance is oversold Action: Strong sell signal - money likely to flow back to Bitcoin Key Metrics in the Info Table What to watch: RSI Values (color-coded) Red: Overbought (>70) Green: Oversold (<30) White: Neutral RSI Length (yellow when adaptive) Shorter lengths (8-15): Fast market cycles Longer lengths (30-50): Slow market cycles Cycle Period (Market Rhythm reading) Low values (8-15): Trending market, more aggressive signals High values (35-50): Ranging market, slower signals RSI Spread Positive (green): Primary asset has relative strength Negative (red): Primary asset has relative weakness Practical Trading Rules Rule 1: Don't Trade Against the Spread If spread is strongly negative (-30 or less), avoid long positions If spread is strongly positive (+30 or more), avoid short positions Rule 2: Use Multiple Timeframes Check daily for trend direction Use 4H for entries Use 1H for precise timing Rule 3: Combine with Price Action RSI signals + support/resistance = higher probability Wait for confirmation candles after RSI crosses Rule 4: Adaptive Periods Tell Market State Cycle Period < 15: Trending - follow breakouts Cycle Period > 35: Ranging - fade extremes Risk Management Position Sizing: Use smaller positions when RSI spread is neutral (-10 to +10) Stop Loss: Place below recent Renko brick low for longs, above for shorts Take Profit: Consider partial profits when RSI reaches opposite extreme False Signals: Avoid trading when both RSIs are near 50 (indecision) Example Trade Scenario Asset: ETHUSDT Comparison: BTCDOMUSDT.P Observation: ETH RSI: 32 (oversold, turning green) BTC.D RSI: 68 (overbought) RSI Spread: -36 (but improving from -42) Cycle Period: 12 (fast trending market) Renko just turned green Analysis: Ethereum is oversold while Bitcoin dominance is overbought Negative spread suggests BTC has been outperforming, but tide may turn Fast cycle period suggests momentum can shift quickly Green Renko brick confirms buying pressure starting Trade: Entry: Current price Stop: Below recent Renko brick low Target 1: RSI 50 (momentum shift complete) Target 2: RSI 65-70 (overbought, take profits) Monitor: If BTC.D RSI stays above 60, manage position tightly Best Practices Do: Use RSI spread as primary confirmation Trust adaptive signals more in clean trends Wait for Renko color confirmation Watch for RSI divergences between primary and comparison ❌ Don't: Ignore the comparison asset - it's crucial context Trade blindly on oversold/overbought levels alone Fight extreme RSI spreads (>±40) Overtrade when cycle periods are high (>40) This indicator excels at identifying relative strength and momentum shifts in the context of broader market dynamics. The comparison to Bitcoin Dominance makes it particularly powerful for cryptocurrency trading.
Pine Script® indicator
by akhlaque16g55