立即開始

指標和策略

Fractal Closes📘 Fractal Closes Description: Fractal Closes is a minimal, time-based indicator that shows which higher-timeframe cycles (1 D → 11 D) are closing within the next 24 hours. It helps you instantly identify daily and multi-day fractal completions without switching charts — keeping your focus on timing, structure, and confluence. Features Scans 1 D → 11 D fractal periods automatically. Displays only the cycles closing today (within 24 h). Works consistently across all chart timeframes. Transparent, minimal bottom-right table — no clutter. Ideal For: Traders who want to track short-term cycle completions (1-to-11-day) for time-based confluence, session alignment, or timing reversals.
Pine Script®指標
由bon_appetrade提供
Session First 15-Min High/LowHere's a professional description for your 15-minute indicator: Session First 15-Min High/Low Marker This indicator automatically identifies and marks the high and low price levels established during the first 15 minutes of major trading sessions, providing traders with broader opening range support and resistance zones for intraday analysis. Key Features: Tracks three major trading sessions in IST (Indian Standard Time): Asian Session: 5:30 AM - 5:45 AM London Session: 12:30 PM - 12:45 PM New York Session: 5:30 PM - 5:45 PM Draws horizontal lines at the highest and lowest prices reached during each session's opening 15-minute window Color-coded for easy identification (Green for Asian, Blue for London, Red for New York) Lines extend across the chart to help track price reactions throughout the day Clean, minimal design with optional labels Best Used For: Identifying stronger intraday support and resistance levels with a wider opening range Session breakout and reversal trading strategies Understanding institutional order flow during market opens Works on 1-minute timeframe for precise tracking (15 candles) or 5-minute timeframe (3 candles) Why 15 Minutes vs 5 Minutes? The 15-minute opening range captures more price action and market participation, often providing more reliable support/resistance levels than the narrower 5-minute range. This makes it ideal for swing traders and those looking for higher-probability trade setups. Customizable Settings: Toggle line extensions on/off Adjust line width (1-2) Change colors for each session Show/hide session labels Perfect for day traders and position traders who want to identify high-probability support/resistance zones established during the critical opening 15 minutes of major trading sessions when liquidity and volatility are highest. This description highlights the difference between the 5-minute and 15-minute versions and explains the practical benefits of the wider range.
Pine Script®指標
由petergangmei提供
Trader AssistantDescription of the "Trader Assistant" indicator Overview - Trader Assistant is a comprehensive TradingView indicator (Pine Script v5) that combines volatility analysis (ATR), trading volume monitoring, and signal generation to support decision-making. Core components 1) ATR (Average True Range) calculation - Uses a custom daily ATR function (Trader-Assistant.pine:86) - Daily timeframe enforcement via (Trader-Assistant.pine:107), independent of the current chart timeframe - Configurable ATR length (default 5 bars) 2) ATR exhaustion analysis - From daily open: how much of the daily ATR the price has moved from the open, as a percentage: (Trader-Assistant.pine:156) - From daily extremes: percentage of the daily high–low range covered: (Trader-Assistant.pine:159) 3) Trading signals - Long signal (💪) when ATR exhaustion is below the long threshold (default 30%) - Short signal (✋) when ATR exhaustion is above the short threshold (default 70%) - Color coding: green for long, red for short 4) Risk management levels - From daily Open: - Maximum: (Trader-Assistant.pine:166) - Minimum: (Trader-Assistant.pine:167) - Stop-loss: percentage of daily ATR (default 10%) - Take-profit: multiple of stop-loss (default 4x) - Slippage: percentage of stop-loss (default 10%) - From daily High/Low: - Maximum: (Trader-Assistant.pine:162) - Minimum: (Trader-Assistant.pine:163) - Intra-day granularity via 5-minute ATR: (Trader-Assistant.pine:170) over 30 bars, with corresponding SL/TP/slippage derived from it 5) Volume analysis - Daily notional volume is built by summing 24 hourly bars: (Trader-Assistant.pine:142) - Human-friendly K/M/B formatting of numbers - Liquidity filter: line turns red when volume is below the configurable threshold (default 30M) - Optional display toggle Visualization Table content (bottom-left of the chart), three columns: - Columns: label, “From Open”, “From High/Low” - Rows: - Today’s maximum with ATR: “From Open” vs “From Low” - Stop-loss: daily ATR vs 5-minute ATR - Take-profit: daily ATR vs 5-minute ATR - Slippage: daily ATR vs 5-minute ATR - Today’s minimum with ATR: “From Open” vs “From High” - Day volume (optional): value and color-coded sufficiency - ATR value - ATR exhaustion: percentage with emoji signal in both columns Display settings and color cues - Adjustable font size (0–3) - Blue for max/min rows - Green/red for signal rows - Red for insufficient volume Configurable inputs ATR: - Number of bars for ATR - Upper/lower deviation limits for outlier handling (as inputs) - Stop-loss size (% of daily ATR) - Take-profit multiplier - Slippage as % of stop-loss Signals: - Long threshold (% ATR exhaustion) - Short threshold (% ATR exhaustion) Volume: - Toggle display - Average period and averaging type (inputs exist; not used in current calculations) - Minimum day volume threshold (in millions) Technical notes - Multi-timeframe aggregation via (Trader-Assistant.pine:107) for daily and 5-minute data - Tick-accurate formatting with (Trader-Assistant.pine:34) and (Trader-Assistant.pine:37) - Direct hourly summation for daily volume for simplicity and clarity: (Trader-Assistant.pine:142) - Table adapts the number of rows based on whether volume is shown Intended use - Intraday trading: identify entry timing based on daily ATR exhaustion - Risk management: automatic SL/TP/slippage calculations - Trade filtering: ensure sufficient liquidity before acting - Volatility assessment: track current movement relative to average daily range
Pine Script®指標
由gurmanalexander提供
Gho$t EMA CloudSimple 9/14EMA With Cloud system. Ghost EMA Cloud is a clean, minimal trend-tracking indicator designed to visualize short-term momentum shifts. It plots the 9-EMA (gray) and 14-EMA (white) while shading the area between them with dynamic cloud colors — green when momentum turns bullish, red when it weakens. The smooth cloud instantly highlights crossovers that often precede breakout or reversal moves. Optional 5-EMA and 12-EMA layers can be toggled on for extra precision without cluttering the chart. Ideal for intraday and swing traders, Ghost EMA Cloud helps you confirm entries, spot trend continuations, and time exits with clear visual simplicity and speed.
Pine Script®指標
由Ghostmlt提供
Volume Bubbles & Liquidity Heatmap 30% + biasLuxAlgo gave us an open script, I just primmed it up with the use of Chat GPT:There is no single magic number (like “delta must be 800”) that will guarantee directional follow-through in every market. But you can make a mathematically rigorous filter that gives you a high-probability test — by normalizing the delta against that market’s typical behavior and requiring multiple confirmations. Below is a compact, actionable algorithm you can implement immediately (in your platform or spreadsheet) plus concrete thresholds and the math behind them. High-IQ rule set (math + trade logic) Use three independent checks. Only take the trade if ALL three pass. 1) Z-score (statistical significance of the delta) Compute rolling mean 𝜇 μ and std dev 𝜎 σ of delta on the same timeframe (e.g. 5m) over a lookback window 𝑊 W (suggest 𝑊 = 50 W=50–200 bars). 𝑍 = delta bar − 𝜇 𝑊 𝜎 𝑊 Z= σ W ​ delta bar ​ −μ W ​ ​ Threshold: require 𝑍 ≥ 2.5 Z≥2.5 (strong) — accept 2.0 for less strict, 3.0 for very rare signals. Why: a Z>=2.5 means this delta is an outlier (~<1% one-sided), not normal noise. 2) Relative Imbalance (strength vs total volume) Compute imbalance ratio: 𝑅 = ∣ delta bar ∣ volume bar R= volume bar ​ ∣delta bar ​ ∣ ​ Threshold: require 𝑅 ≥ 0.25 R≥0.25 (25% of the bar’s volume is one-sided). For scalping you can tighten to 0.30–0.40. Why: a big delta with tiny volume isn’t meaningful; this normalizes to participation. 3) Net follow-through over a confirmation window Look ahead 𝑁 N bars (or check the next bar if you need intrabar speed). Compute cumulative delta and price move: cum_delta 𝑁 = ∑ 𝑖 = 1 𝑁 delta bar + 𝑖 cum_delta N ​ = i=1 ∑ N ​ delta bar+i ​ price_move = close bar + 𝑁 − close bar price_move=close bar+N ​ −close bar ​ Thresholds: require cum_delta 𝑁 cum_delta N ​ has the same sign as the trigger and ∣ cum_delta 𝑁 ∣ ≥ 0.5 × ∣ delta bar ∣ ∣cum_delta N ​ ∣≥0.5×∣delta bar ​ ∣, and price_move price_move exceeds a minimum meaningful tick amount (instrument dependent). For ES / US30 type futures: price move ≥ 5–10 ticks; for forex pairs maybe 10–20 pips? Use ATR 20 20 ​ ×0.05 as a generic minimum. Why: separates immediate absorption (buy delta then sellers soak it) from genuine continuation. Bonus check — Structural context (must be satisfied) Trigger should not occur against a strong structural barrier (VWAP, daily high/low, previous session POC) unless you’re explicitly trading exhaustion/absorption setups. If signal occurs near resistance and price does not clear that resistance within 𝑁 N bars, treat as probable trap. Putting it together — final trade decision Take the long (example): If 𝑍 ≥ 2.5 Z≥2.5 and 𝑅 ≥ 0.25 R≥0.25 and cum_delta_N confirms and no hard resistance above (or you’re willing to trade absorption), then enter. Place stop: under the low of the last 2–3 bars or X ATR (instrument dependent). Initial target: risk:reward 1:1 minimum, scale out at 1.5–2R after confirming further delta. Concrete numeric illustration using your numbers You saw FOL = 456, then sell reaction with ~350 opposite. How to interpret: Suppose your 5-min rolling mean 𝜇 μ = 100 and 𝜎 σ=120 (example): 𝑍 = ( 456 − 100 ) / 120 ≈ 2.97 ⇒ statistically big Z=(456−100)/120≈2.97⇒statistically big So it passes Z. If volume on that bar = 2000 contracts: 𝑅 = 456 / 2000 = 0.228 ⇒ just below 0.25 threshold R=456/2000=0.228⇒just below 0.25 threshold So it fails R (weak participation proportionally), explaining why 456 alone didn’t move price. Seller came back with 350 opposite soon after — check cum_delta_N: cum_delta 𝑛 𝑒 𝑥 𝑡 3 ≈ 456 − 350 = 106  net cum_delta next3 ​ ≈456−350=106 net Net is small relative to the initial spike — not convincing follow-through. Conclusion: despite a big absolute number (456), relative measures and lack of follow-through meant the move failed. That’s exactly why raw numbers alone are unreliable. Advanced refinement (for elite performance) Use rolling median + MAD instead of mean/std if delta distribution is skewed. Scale Z by volume volatility: divide Z by volume bar / volume ‾ volume bar ​ / volume ​ to penalize low-volume bars. Use a signed cumulative delta over micro-windows: compute windowed cumulative delta standardized: 𝑍 cum = ∑ 𝑖 = 0 𝑀 − 1 delta 𝑡 − 𝑖 − 𝑀 𝜇 𝑀 𝜎 Z cum ​ = M ​ σ ∑ i=0 M−1 ​ delta t−i ​ −Mμ ​ and require 𝑍 cum ≥ 3 Z cum ​ ≥3 for very high confidence. Add market-depth / DOM confirmation (if available): require that resting ask size above is less than resting bid size below by a factor (i.e. visible liquidity supports the move). Practical thresholds to start with (tune per instrument) Lookback 𝑊 W: 100 bars (5m → about a trading day) Z threshold: 2.5 Imbalance ratio 𝑅 R: ≥ 0.25 (tighten to 0.30 for scalping) Confirmation window 𝑁 N: next 1–3 bars for intraday scalps; 3–6 bars for short swings Cum delta confirmation: ≥ 0.5 × initial delta and same sign Price move confirmation: ≥ 0.03 × ATR20 (or set absolute ticks per instrument) TL;DR — the single best rule Don’t chase absolute numbers. Use Z-score of delta + delta/volume ratio + real follow-through. If all three align, odds are heavily in your favor. If you want, I can: give you a tiny script (pseudocode or Pine / Python) that computes Z, R, cum_delta_N and flags qualifying bars, or run the calculation on a sample of your recent bars if you paste a small CSV of time, delta, volume, close. Which do you want? (I’ll give code right away.) You said: give me a percentage of difference where we have a high probability ChatGPT said: Thought for 7s Nice — straight to the point. Here’s a concise, practical set of percentage thresholds (and associated confidence estimates) you can use right now to flag a “high probability” delta signal. I’ll give you three tiers (good / strong / elite), explain what each means, show how to compute it, and give a short example using your 456/2000 bar. One-line rule Compute delta percent 𝑃 = ∣ delta ∣ volume × 100 % P= volume ∣delta∣ ​ ×100%. Then require Z-score of delta ≥ 2.5 and P to be at or above the threshold below for the desired confidence tier. Threshold tiers (percent of bar volume) Good (high-probability trade candidate) P ≥ 20–25% Typical success probability (when combined with Z≥2.5 and no hard structural resistance): ~60–70%. Use when you want a steady flow of signals with decent edge. Strong (high confidence) P ≥ 30–35% Typical success probability: ~70–80% (with Z≥2.5 + structural alignment). Fewer signals, higher win-rate. Good default for intraday. Elite (very high probability / low false positives) P ≥ 40–50% Typical success probability: ~80–90% (with Z≥3 and confirmation). Rare signals. Use for meaningful size or when you need maximum certainty. Why percentage matters (short) Absolute delta (456) is meaningless without volume context. A 456 delta on 2,000 volume → P = 456/2000 = 22.8% → sits just below the Good threshold, which matches why it failed: decent but not dominant participation. Additional required checks (don’t skip these) To turn P into a reliable filter, always require: Z-score of the delta ≥ 2.5 (or ≥3 for Elite signals). No immediate structural barrier (VWAP, strong resistance) that would plausibly absorb the order. Follow-through: within next N bars (N = 1–3 for scalps) price moves in the same direction by ≥ 0.03×ATR20 (or instrument-specific tick threshold). If this fails, cut fast. Combine all three and your realized win-rate will approach the probabilities above. Practical quick checklist (to apply each signal) Compute P = |delta|/volume. Is P ≥ 30%? (or your chosen tier) Compute Z = (delta − mean)/std over last 100 bars. Is Z ≥ 2.5? Is price not pinned under a heavy resistance? Enter on next bar close (or intrabar on continuation), stop under last 2-bar low (for longs). If price fails to move ≥ 0.03×ATR20 within 3 bars, exit. Example (your bar) delta = 456, volume = 2000 → P = 22.8% → below Good threshold (25%). Even if Z was high, P failed — explains the failure. You need P ≥ ~30% plus Z≥2.5 to call it a Strong signal. Final notes (instrument & timeframe) These percentages were calibrated for futures/US indices and short intraday bars (1–5m). For FX or low-tick instruments, use absolute ticks + a smaller P threshold (start at 15–20%). Always backtest on the specific instrument/timeframe and tune thresholds. If you want, I’ll generate a tiny script (Python or Pine) that calculates P and Z and flags Good/Strong/Elite signals for your chart history so you can see exact historical hit rates. Which language (Python or Pine)? You said: so if we have 456 g vs 350 r what pct is that in favour of green? ChatGPT said: Perfect — let’s calculate it carefully, digit by digit so we don’t make a slip. We have: Green (buy) volume = 456 Red (sell) volume = 350 We want to know what percentage is in favor of green, relative to the total volume. Step 1. Compute total volume Total = 456 + 350 = 806 Total=456+350=806 Step 2. Compute green’s share \text{Green %} = \frac{456}{806} \times 100 Now do it precisely: 456 ÷ 806 = 0.565506 456÷806=0.565506 (rounded) So: 0.565506 × 100 = 56.55 % 0.565506×100=56.55% Step 3. Compute red’s share (for context) 350 806 = 0.434494 → 43.45 % 806 350 ​ =0.434494→43.45% Step 4. Compute difference (bias toward green) 56.55 % − 43.45 % = 13.10 % 56.55%−43.45%=13.10% ✅ Final answer: Green = 56.6% of total Red = 43.4% of total Bias = +13.1 percentage points in favor of green So that’s only a 13% advantage to buyers — modest pressure, not a dominant imbalance. For a high-probability signal (as we discussed earlier), you generally want ≥30% imbalance (e.g. ~65/35 split or stronger). Original: ''The Volume Bubbles & Liquidity Heatmap indicator is a powerful trading tool designed to give traders a clearer picture of volume dynamics and liquidity distribution across multiple timeframes. By combining dynamic volume bubbles with a liquidity heatmap, this indicator makes it easy to identify areas of price interest, spot market imbalances, and improve decision-making for both scalpers and swing traders. This trading indicator is ideal for volume traders, price action traders, and liquidity-focused traders who need a clean, multi-dimensional view of buyer/seller activity and the zones where market participants are most active. With full customization over bubble display, timeframes, and visual settings, traders can tailor the tool to fit virtually any trading strategy or market.''
Pine Script®指標
由Ross-J-Burland提供
Robirop Float & Liquidity Dashboard 3Suomi — tiivistelmä Taulukko, joka näyttää keskeiset float- ja likviditeettimittarit intrapäivässä ja päivätasolla. Sisältö: Market Cap, All Shares, Free Float (kpl), Free Float %, Float Rotation (päivän kum. vol / free float), Day Change (% eilisen closesta), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Asetukset: taulukon sijainti, koko ja värit. LoD-kentät voi kytkeä päälle/pois. ADR ja Proj. Vol ovat oletuksena pois. Huom: Day Change vertaa aina nykyhintaa edellisen regular session -closeen; Market Cap käyttää ensin financial-dataa, muuten (All Shares × daily close). English — summary A compact table showing core float & liquidity metrics for intraday and daily context. Includes: Market Cap, All Shares, Free Float (shares), Free Float %, Float Rotation (day cumulative vol / free float), Day Change (% vs prior close), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Options: table position, size, colors. LoD fields can be toggled on/off. ADR and Projected Volume are OFF by default. Note: Day Change compares current price to the previous regular-session close; Market Cap uses financial data first, otherwise (All Shares × daily close).
Pine Script®指標
由Robirop提供
BTC ETFs AUM📘 Description: BTC ETFs AUM Tracker This indicator tracks the Assets Under Management (AUM) and daily inflows/outflows of the main U.S.-listed Bitcoin ETFs, allowing you to visualize institutional capital movement into Bitcoin products over time. It uses official financial statement data provided by TradingView’s request.financial() function. 🧩 Overview The script adds up the daily AUM changes from selected Bitcoin ETFs to estimate the total net inflow/outflow of capital into spot BTC funds. It also accumulates those flows over time to display the total aggregated AUM balance, giving you a clearer sense of market direction and institutional sentiment. Two display modes are available: Balance view: plots the cumulative sum of net inflows (total ETF AUM). Inflows view: shows daily inflows (green) and outflows (red) as histogram columns, together with a smoothed moving average line. ⚙️ Inputs Explained Base Settings Base Multiplier (base_multi) – Scaling factor applied to all AUM values. Leave at 1 for USD units, or adjust to display values in millions (1e6) or billions (1e9). Smoothing (c_smoothing) – Period length for the simple moving average used to calculate the smoothed mean inflow/outflow line. Show Balance (showBalance) – When enabled, displays the total cumulative AUM balance (sum of all net inflows over time). Show Inflows (showInflows) – When enabled, displays the daily inflows/outflows as colored columns. ETF Selection You can toggle which ETFs are included in the calculation: IBIT (BlackRock) GBTC (Grayscale) FBTC (Fidelity) ARKB (ARK/21Shares) BITB (Bitwise) EZBC (Franklin Templeton) BTCW (WisdomTree) BTCO (Invesco Galaxy) BRRR (Valkyrie) HODL (VanEck) Each switch determines whether the ETF’s AUM and daily flow data are included in the total calculation. 📊 Displayed Values Green Columns → Positive daily net inflows (AUM increased). Red Columns → Negative daily net outflows (AUM decreased). Orange Line → Smoothed moving average of net flows, used to identify persistent inflow/outflow trends. Blue Line (if enabled) → Total cumulative AUM balance (sum of all historical flows). 💡 Usage Notes Works best on daily timeframe, since ETF data is typically updated once per trading day. Not all ETFs have identical data history; missing data points are automatically skipped. The indicator doesn’t represent official fund NAV or guarantee data accuracy — it visualizes TradingView’s public financial feed. You can combine this tool with price action or on-chain metrics to analyze institutional Bitcoin flows. 🧠 Disclaimer This script is for educational and analytical purposes only. It is not financial advice, and no investment decisions should be based solely on this indicator. Data accuracy depends on TradingView’s financial data sources and exchange reporting frequency.
Pine Script®指標
由mks17提供
TAKA Unified Signal (iPad Safe v7 – bottom banner)A multi-logic unified signal combining: N-Wave × Dow Theory × MACD × Granville × ADX The system triggers only when all five conditions align simultaneously, displaying a large bottom banner: ALL-IN SYNC: LONG / SHORT or WAITING… • Structure: Major N-Wave direction • Breakout check: Minor N-Wave confirmation • Trend logic: Dow Theory (BOS / CHOCH) • Momentum: MACD crossover • Deviation logic: EMA Granville rule • Range filter: ADX threshold (optional) On higher timeframes, signals appear maybe once a week. Even on 5-minute charts, once per day at best. It’s a precision-based, quiet-mode logic built for reliability over frequency. 🔔 Alert notification when the banner is triggered 🧩 Optimized for clean layout and low load 🦅 TAKA Unified Signal (iPad Safe v7 – bottom banner) 4理論＋1フィルターを統合した多条件型シグナル N波動 × ダウ理論 × MACD × グランビル × ADX 5条件が同時に成立した瞬間のみ チャート下部に大型バナーを表示 「ALL-IN SYNC: LONG / SHORT」または「WAITING…」で判定 • 方向判定：大N波動 • ブレイク確認：小N波動 • 転換認識：ダウ理論（BOS/CHOCH） • 勢い：MACD • 乖離確認：EMAグランビル • レンジ除外：ADX閾値（任意） 上位足では週1回出るかどうか 5分足でも1日1回程度 精度重視型・静寂型ロジック 🔔 バナー点灯時にアラート通知可 🧩 iPad対応版（安全表示・低負荷）
Pine Script®指標
由UMIBOUZU_TAKA提供
SequencerLibraryLibrary "SequencerLibrary" SequencerLibrary v1 is a Pine Script™ library for identifying, tracking, and visualizing sequential bullish and bearish patterns on price charts. It provides a complete framework for building sequence-based trading systems, including: • Automatic detection and counting of setup and countdown phases. • Real-time tracking of completion states, perfected setups, and exhaustion signals. • Dynamic support and resistance thresholds derived from recent price structure. • Customizable visual highlighting for both setup and countdown sequences. method doSequence(s, src, config, condition)   Updates the sequence state based on the source value, and user configuration.   Namespace types: Sequence   Parameters:      s (Sequence) : The sequence object containing bullish and bearish setups.      src (float) : The source value (e.g., close price) used for evaluating sequence conditions.      config (SequenceInputs) : The user-defined settings for sequence analysis.      condition (bool) : When true, executes the sequence logic.   Returns: highlight(s, css, condition)   Highlights the bullish and bearish sequence setups and countdowns on the chart.   Parameters:      s (Sequence) : The sequence object containing bullish and bearish sequence states.      css (SequenceCSS) : The styling configuration for customizing label appearances.      condition (bool) : When true, the function creates and displays labels for setups and countdowns.   Returns: SequenceState   A type representing the configuration and state of a sequence setup.   Fields:      setup (series int) : Current count of the setup phase (e.g., how many bars have met the setup criteria).      countdown (series int) : Current count of the countdown phase (e.g., bars meeting countdown criteria).      threshold (series float) : The price threshold level used as support/resistance for the sequence.      priceWhenCompleted (series float) : The closing price when the setup or countdown phase is completed.      indicatorWhenCompleted (series float) : The indicator value when the setup or countdown phase is completed.      setupCompleted (series bool) : Indicates if the setup phase has been completed (i.e., reached the required count).      countdownCompleted (series bool) : Indicates if the countdown phase has been completed (i.e., reached exhaustion).      perfected (series bool) : Indicates if the setup meets the "perfected" condition (e.g., aligns with strict criteria).      highlightSetup (series bool) : Determines whether the setup phase should be visually highlighted on the chart.      highlightCountdown (series bool) : Determines whether the countdown phase should be visually highlighted on the chart. Sequence   A type containing bullish and bearish sequence setups.   Fields:      bullish (SequenceState) : Configuration and state for bullish sequences.      bearish (SequenceState) : Configuration and state for bearish sequences. SequenceInputs   A type for user-configurable input settings for sequence-based analysis.   Fields:      showSetup (series bool) : Enables or disables the display of setup sequences.      showCountdown (series bool) : Enables or disables the display of countdown sequences.      setupFilter (series string) : A comma‐separated string containing setup sequence counts to be highlighted (e.g., "1,2,3,4,5,6,7,8,9").      countdownFilter (series string) : A comma‐separated string containing countdown sequence counts to be highlighted (e.g., "1,2,3,4,5,6,7,8,9,10,11,12,13").      lookbackSetup (series int) : Defines the lookback period for evaluating setup conditions (default: 4 bars).      lookbackCountdown (series int) : Defines the lookback period for evaluating countdown conditions (default: 2 bars).      lookbackSetupPerfected (series int) : Defines the lookback period to determine a perfected setup condition (default: 6 bars).      maxSetup (series int) : The maximum count required to complete a setup phase (default: 9).      maxCountdown (series int) : The maximum count required to complete a countdown phase (default: 13). SequenceCSS   A type defining the visual styling options for sequence labels.   Fields:      bullish (series color) : Color used for bullish sequence labels.      bearish (series color) : Color used for bearish sequence labels.      imperfect (series color) : Color used for labels representing imperfect sequences.
Pine Script®腳本庫
由tkarolak提供
Advanced HMM - 3 States CompleteHidden Markov Model Aconsistent challenge for quantitative traders is the frequent behaviour modification of financial markets, often abruptly, due to changing periods of government policy, regulatory environment and other macroeconomic effects. Such periods are known as market regimes. Detecting such changes is a common, albeit difficult, process undertaken by quantitative market participants. These various regimes lead to adjustments of asset returns via shifts in their means, variances, autocorrelation and covariances. This impacts the effectiveness of time series methods that rely on stationarity. In particular it can lead to dynamically-varying correlation, excess kurtosis ("fat tails"), heteroskedasticity (volatility clustering) and skewed returns. There is a clear need to effectively detect these regimes. This aids optimal deployment of quantitative trading strategies and tuning the parameters within them. The modeling task then becomes an attempt to identify when a new regime has occurred adjusting strategy deployment, risk management and position sizing criteria accordingly. A principal method for carrying out regime detection is to use a statistical time series tech nique known as a Hidden Markov Model . These models are well-suited to the task since they involve inference on "hidden" generative processes via "noisy" indirect observations correlated to these processes. In this instance the hidden, or latent, process is the underlying regime state, while the asset returns are the indirect noisy observations that are influenced by these states.
Pine Script®指標
由Limitedterminator提供
Yon Hybrid Momentum + Breakout Scanner with BB SqueezeThis Pine Script indicator is a comprehensive momentum and breakout scanner that combines multiple technical analysis tools to identify high-probability trading setups. Here's what it does: Core Features: 1. Trend Identification (EMA System) Uses two EMAs (9-period fast, 20-period slow) to determine trend direction Colors the chart background: teal = uptrend, red = downtrend An uptrend is confirmed when the fast EMA crosses above the slow EMA 2. Volume Analysis Monitors volume spikes (when current volume exceeds 2x the 20-period average) Volume spikes often indicate strong institutional interest or breakout momentum Critical for confirming the validity of price movements 3. Momentum Indicators MACD (12, 26, 9): Shows bullish/bearish crossovers with triangle markers RSI (7-period): Identifies overbought (>70) and oversold (<30) conditions VWAP: Shows the volume-weighted average price (purple line) - helps identify whether price is trading at fair value 4. Bollinger Bands & Squeeze Detection Displays Bollinger Bands (20-period, 2 standard deviations) BB Squeeze: Detects when volatility contracts to its lowest level in 20 bars Squeezes often precede explosive breakout moves (like a coiled spring) Orange squares appear at the bottom when a squeeze is detected 5. Breakout Detection The script identifies breakouts using TWO methods: Price breakout: Close above the recent 20-bar high BB breakout: Close above the upper Bollinger Band Confirmed breakout: Must have uptrend + volume spike + one of the above conditions Shows a green "BREAKOUT" label when all conditions align 6. Live Status Label A label in the top-right displays real-time market conditions: Current trend (UPTREND/DOWNTREND) Volume status (VOL SPIKE/Normal Vol) RSI condition (HOT/COOL/Neutral) Squeeze status (if active) 7. Alerts Two automated alerts: Breakout Alert: Triggers when a confirmed breakout occurs Squeeze Alert: Triggers when Bollinger Bands enter a squeeze Trading Use Cases: This indicator is ideal for: Swing traders looking for momentum setups with strong volume confirmation Breakout traders who want to catch explosive moves after consolidation Day traders monitoring multiple timeframes for high-probability entries Watchlist scanning to quickly identify which stocks/cryptos are showing momentum How to Use It: Setup Phase: Look for BB squeeze markers (orange squares) - these signal compression Confirmation: Wait for volume spike + uptrend + MACD bullish crossover Entry: When "BREAKOUT" label appears with all confirmations Validation: Price should be above VWAP and RSI not extremely overbought The script essentially automates the process of finding stocks that are "coiling up" and ready to make a big move, then confirms when that move actually happens with volume.
Pine Script®指標
由ykm4evr提供
Custom Text Display📋 Custom Text Display - User Guide Overview This indicator allows you to display custom text anywhere on your TradingView chart with full control over appearance and positioning. Features 📝 Text Settings Custom Text: Write any text you want to display on your chart. Can be multiple lines. Text Alignment: Choose how your text is aligned within the box Left Center Right Text Color: Pick any color for your text Background Color: Choose the background color of the text box (includes transparency control) Text Size: Select from 5 different text sizes Tiny Small Normal Large Huge 📍 Position Settings Table Position: Choose where the text box appears on your chart Top Left Top Center Top Right Bottom Left Bottom Center Bottom Right Vertical Offset (0-20): Fine-tune the vertical position 0 = Default position (no offset) Higher values = Move the text box further down Use this to avoid overlapping with other indicators or chart elements How to Use Add the indicator to your TradingView chart Open the settings by clicking the gear icon next to the indicator name Enter your text in the "Custom Text" field Customize appearance: Choose your preferred colors for text and background Select text size and alignment Position the box: Select one of the 6 main positions Use "Vertical Offset" to fine-tune the exact position (add empty space above the text) Click OK to apply changes Use Cases 📊 Display trading notes or reminders 📈 Show key levels or targets 💡 Add strategy descriptions ⚠️ Display risk warnings 📝 Create custom labels for specific chart setups 🎯 Mark important price zones with descriptions Tips Use transparent backgrounds (adjust the transparency slider) for a cleaner look Vertical Offset is useful when you have multiple indicators at the top/bottom and need to avoid overlap Large/Huge text works well for important notes you want to see at a glance Combine different text alignments with different positions for better layout control Note: The text box updates in real-time as you change settings, so you can preview your changes before applying them.
Pine Script®指標
由kobiko3030提供
K線 vs ATR 倍數 + 快訊Candle vs ATR Multiples + News Pulse This indicator compares each candle’s true range and body size to configurable multiples of the Average True Range (ATR) to identify statistically significant bursts and exhaustion moves, then overlays a lightweight “news pulse” filter to help you avoid trading directly into high-volatility announcements. For every bar, the script labels (1) ATR-Impulse when the candle range exceeds X×ATR, (2) Body-Drive when the real body exceeds Y×ATR, and (3) Exhaustion when a large wick appears after an ATR-Impulse in the opposite direction. Optional “magnet” lines plot recent swing highs/lows reached during ATR events to visualize likely retests. Alerts trigger on first touch of any state: Impulse Long/Short, Body-Drive Long/Short, Exhaustion Long/Short, and News Window Active. Inputs include ATR length and type, impulse/body multipliers, wick ratio threshold, lookback for magnet levels, and a news buffer (minutes before/after events). Typical use: trade with trend on Body-Drive breakouts; fade stretched moves on Exhaustion only outside the news buffer; tighten risk near magnets. This tool is designed for discretionary price-action traders who want quantified confirmation: it does not autotrade or guarantee profitability. Always validate on multiple timeframes, account for slippage, and combine with structure (HH/HL, LH/LL), liquidity, and session context.
Pine Script®指標
由CharlesShen提供
ETH ETFs AUM📘 Description: ETH ETFs AUM Tracker This indicator tracks the Assets Under Management (AUM) and daily inflows/outflows of the main U.S.-listed Ethereum ETFs, allowing you to monitor institutional capital flows into Ethereum-based investment products over time. It uses official financial statement data obtained via TradingView’s request.financial() function. 🧩 Overview The script aggregates the daily AUM changes from selected Ethereum ETFs to estimate the total net inflow/outflow of capital entering or leaving ETH funds. It also accumulates those daily flows to display the total cumulative AUM balance, helping you visualize long-term trends in institutional participation and sentiment toward Ethereum. Two visualization modes are available: Balance view: plots the cumulative total AUM over time. Inflows view: plots daily inflows/outflows as colored bars, plus a smoothed moving average line. ⚙️ Inputs Explained Base Settings Base Multiplier (base_multi) – Scaling factor applied to AUM data. Keep it at 1 for raw USD values, or use larger divisors (e.g., 1e6 or 1e9) to express values in millions or billions. Smoothing (c_smoothing) – Number of periods for the simple moving average used to smooth daily inflows/outflows. Show Balance (showBalance) – Toggles display of the cumulative AUM line (aggregated total inflows). Show Inflows (showInflows) – Toggles display of daily inflow and outflow columns and their smoothed mean line. ETF Selection You can enable or disable each ETF from the calculation individually: Invesco Galaxy Ethereum ETF (QETH) Grayscale Ethereum Mini Trust (ETH) Fidelity Ethereum Fund (FETH) WisdomTree Physical Ethereum (ARKB) Bitwise Ethereum ETF (ETHW) Franklin Ethereum Trust (EZET) VanEck Ethereum Trust (ETHV) 21Shares Core Ethereum ETF (CETH) iShares (BlackRock) Ethereum Trust (ETHA) Grayscale Ethereum Trust (ETHE) Each toggle determines whether the ETF’s daily AUM changes are included in the aggregated totals. 📊 Displayed Values Green Columns → Positive daily inflows (AUM increased). Red Columns → Negative daily outflows (AUM decreased). Orange Line → Smoothed average of daily net flows. Blue Line (if enabled) → Total cumulative AUM (aggregated sum over time). 💡 Usage Notes The indicator is best viewed on the daily timeframe, as ETF AUM updates once per trading day. Missing data points for newer or smaller ETFs are automatically skipped. Data accuracy depends on TradingView’s financial data feed and the respective exchange reporting frequency. Combine this indicator with ETH/USD price action or on-chain data to study relationships between institutional capital movement and market direction. ⚠️ Disclaimer This script is for educational and analytical purposes only. It does not constitute financial advice or investment recommendations. All ETF data is sourced through TradingView’s official request.financial() function, and accuracy is subject to third-party data providers.
Pine Script®指標
由mks17提供