立即開始

指標和策略

NY Midnight High/Low Arrows (Auto-Show)🇺🇸 English Explanation This indicator automatically marks the daily high and low of the New York session. It draws arrows (▼▲) at the highest and lowest prices after New York midnight (00:00), and can optionally display small horizontal dotted lines at those levels. It helps traders identify daily liquidity zones and key turning points in price action. 🇸🇦 الشرح بالعربية هذا المؤشر يحدد القمة والقاع اليومية لجلسة نيويورك بشكل تلقائي. يرسم أسهماً (▼▲) عند أعلى وأدنى سعر بعد منتصف الليل بتوقيت نيويورك (00:00)، ويمكنه أيضًا عرض خطوط أفقية منقطة صغيرة عند تلك المستويات. يساعد المتداول في معرفة مناطق السيولة اليومية ونقاط الانعكاس المهمة في حركة السعر.
Pine Script®指標
由CrownForex提供
Strong PivotsThis finds pivots based on your inputs (number of candles back and forward that are above or below the range of the potential pivot points) and then optionally changes the color to help you visually identify the pivot. You can also specify pivots as strong pivots if they reverse in 1 time segment beyond a certain percentage (wick % of full candle range). For example, if the pivot is at a high point but has a green body candle and a wick > 35% of the candle, it will change the body color to red to help visually understand that the candle can be considered a strong part of the downtrend, regardless of it closing green. This will help your mind interpret the top pivot candle as part of the potential trend reversal for the following candles and could even be used as part of your strategy ruleset.
Pine Script®指標
由supernat10提供
HoneG_BJVH 軽量化版v1 ザオプションのワンタッチ取引向けのサブチャート用ツールver1です 仮想通貨のpips換算時、変換式がイレギュラーなので、 ザオプションの現行画面仕様に合わせて作りました このバージョンはテーブルを20列確保して、過去20足の勝敗も表現しています。 This is version 1 of the subchart tool for The Option's One-Touch trading. Since the conversion formula for cryptocurrency pips is irregular, it was created to match The Option's current screen specifications. This version reserves 20 columns in the table and also displays the win/loss results for the past 20 candles.
Pine Script®指標
由TVYAMA提供
TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction. - When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend. - When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase. This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition. TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Pine Script®指標
由echanxyz提供
Dow Jones Trading System with PivotsThis TradingView indicator, tailored for the 30-minute Dow Jones (^DJI) chart, supports DIA options trading with a trend-following approach. It features a 30-period SMA (blue) and a 60-period SMA (red), with an optional 90-period SMA (orange) drawn from rauItrades' Dow SMA outfit. A bullish crossover (30 SMA > 60 SMA) displays a green "BUY" triangle below the bar for potential DIA longs, while a bearish crossunder (30 SMA < 60 SMA) shows a red "SELL" triangle above for shorts or exits. The background turns green (bullish) or red (bearish) to indicate trend bias. Pivot points highlight recent highs (orange circles) and lows (purple circles) for support/resistance, using a 5-bar lookback. Alerts notify for crossovers.
Pine Script®指標
由DarkMoneyMusic提供
Ehlers Even Better Sinewave (EBSW)# EBSW: Ehlers Even Better Sinewave ## Overview and Purpose The Ehlers Even Better Sinewave (EBSW) indicator, developed by John Ehlers, is an advanced cycle analysis tool. This implementation is based on a common interpretation that uses a cascade of filters: first, a High-Pass Filter (HPF) to detrend price data, followed by a Super Smoother Filter (SSF) to isolate the dominant cycle. The resulting filtered wave is then normalized using an Automatic Gain Control (AGC) mechanism, producing a bounded oscillator that fluctuates between approximately +1 and -1. It aims to provide a clear and responsive measure of market cycles. ## Core Concepts * **Detrending (High-Pass Filter):** A 1-pole High-Pass Filter removes the longer-term trend component from the price data, allowing the indicator to focus on cyclical movements. * **Cycle Smoothing (Super Smoother Filter):** Ehlers' Super Smoother Filter is applied to the detrended data to further refine the cycle component, offering effective smoothing with relatively low lag. * **Wave Generation:** The output of the SSF is averaged over a short period (typically 3 bars) to create the primary "wave". * **Automatic Gain Control (AGC):** The wave's amplitude is normalized by dividing it by the square root of its recent power (average of squared values). This keeps the oscillator bounded and responsive to changes in volatility. * **Normalized Oscillator:** The final output is a single sinewave-like oscillator. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | | ----------- | ------- | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- | | Source | close | Price data used for calculation. | Typically `close`, but `hlc3` or `ohlc4` can be used for a more comprehensive price representation. | | HP Length | 40 | Lookback period for the 1-pole High-Pass Filter used for detrending. | Shorter periods make the filter more responsive to shorter cycles; longer periods focus on longer-term cycles. Adjust based on observed cycle characteristics. | | SSF Length | 10 | Lookback period for the Super Smoother Filter used for smoothing the detrended cycle component. | Shorter periods result in a more responsive (but potentially noisier) wave; longer periods provide more smoothing. | **Pro Tip:** The `HP Length` and `SSF Length` parameters should be tuned based on the typical cycle lengths observed in the market and the desired responsiveness of the indicator. ## Calculation and Mathematical Foundation **Simplified explanation:** 1. Remove the trend from the price data using a 1-pole High-Pass Filter. 2. Smooth the detrended data using a Super Smoother Filter to get a clean cycle component. 3. Average the output of the Super Smoother Filter over the last 3 bars to create a "Wave". 4. Calculate the average "Power" of the Super Smoother Filter output over the last 3 bars. 5. Normalize the "Wave" by dividing it by the square root of the "Power" to get the final EBSW value. **Technical formula (conceptual):** 1. **High-Pass Filter (HPF - 1-pole):** `angle_hp = 2 * PI / hpLength` `alpha1_hp = (1 - sin(angle_hp)) / cos(angle_hp)` `HP = (0.5 * (1 + alpha1_hp) * (src - src )) + alpha1_hp * HP ` 2. **Super Smoother Filter (SSF):** `angle_ssf = sqrt(2) * PI / ssfLength` `alpha2_ssf = exp(-angle_ssf)` `beta_ssf = 2 * alpha2_ssf * cos(angle_ssf)` `c2 = beta_ssf` `c3 = -alpha2_ssf^2` `c1 = 1 - c2 - c3` `Filt = c1 * (HP + HP )/2 + c2*Filt + c3*Filt ` 3. **Wave Generation:** `WaveVal = (Filt + Filt + Filt ) / 3` 4. **Power & Automatic Gain Control (AGC):** `Pwr = (Filt^2 + Filt ^2 + Filt ^2) / 3` `EBSW_SineWave = WaveVal / sqrt(Pwr)` (with check for Pwr == 0) > 🔍 **Technical Note:** The combination of HPF and SSF creates a form of band-pass filter. The AGC mechanism ensures the output remains scaled, typically between -1 and +1, making it behave like a normalized oscillator. ## Interpretation Details * **Cycle Identification:** The EBSW wave shows the current phase and strength of the dominant market cycle as filtered by the indicator. Peaks suggest cycle tops, and troughs suggest cycle bottoms. * **Trend Reversals/Momentum Shifts:** When the EBSW wave crosses the zero line, it can indicate a potential shift in the short-term cyclical momentum. * Crossing up through zero: Potential start of a bullish cyclical phase. * Crossing down through zero: Potential start of a bearish cyclical phase. * **Overbought/Oversold Levels:** While normalized, traders often establish subjective or statistically derived overbought/oversold levels (e.g., +0.85 and -0.85, or other values like +0.7, +0.9). * Reaching above the overbought level and turning down may signal a potential cyclical peak. * Falling below the oversold level and turning up may signal a potential cyclical trough. ## Limitations and Considerations * **Parameter Sensitivity:** The indicator's performance depends on tuning `hpLength` and `ssfLength` to prevailing market conditions. * **Non-Stationary Markets:** In strongly trending markets with weak cyclical components, or in very choppy non-cyclical conditions, the EBSW may produce less reliable signals. * **Lag:** All filtering introduces some lag. The Super Smoother Filter is designed to minimize this for its degree of smoothing, but lag is still present. * **Whipsaws:** Rapid oscillations around the zero line can occur in volatile or directionless markets. * **Requires Confirmation:** Signals from EBSW are often best confirmed with other forms of technical analysis (e.g., price action, volume, other non-correlated indicators). ## References * Ehlers, J. F. (2002). *Rocket Science for Traders: Digital Signal Processing Applications*. John Wiley & Sons. * Ehlers, J. F. (2013). *Cycle Analytics for Traders: Advanced Technical Trading Concepts*. John Wiley & Sons.
Pine Script®指標
由mihakralj提供
COT Index Indicator 1) One‑liner My version of the OTC COT Index indicator: a 0–120 oscillator built from CFTC COT data that shows where Commercial, Noncommercial, and Nonreportable net positions sit relative to recent extremes. 2) Short paragraph This is my version of the OTC COT Index indicator. It converts CFTC Commitments of Traders (COT) net positions into a normalized 0–120 oscillator for each trader group—Commercials, Noncommercials, and Nonreportables—so you can quickly see when positioning is near recent highs or lows. Data comes from TradingView’s official COT library and supports both “Futures Only” and “Futures and Options” reports. 3) Compact bullets What: My version of the OTC COT Index indicator Why: Quickly spot when trader groups are near positioning extremes Data: CFTC COT via TradingView/LibraryCOT/2; Futures Only or Futures & Options How: Index = 120 × (Current − Min) ÷ (Max − Min) over a configurable lookback Plots: Commercials (blue), Noncommercials (orange), Nonreportables (red) Lines: Overbought, Midline, Oversold, optional 0/100, upper/lower bounds Note: Values are relative to the chosen window; not trading advice 4) Publication‑ready (sections) Overview My version of the OTC COT Index indicator. It turns CFTC COT positioning into a 0–120 oscillator per trader group (Commercials, Noncommercials, Nonreportables) to highlight relative extremes. Data source CFTC Commitments of Traders via TradingView’s official library (TradingView/LibraryCOT/2). Supports “Futures Only” and “Futures and Options.” Method Net positions = Longs − Shorts. Index = 120 × (Current Net − Min(Net, Lookback)) ÷ (Max(Net, Lookback) − Min(Net, Lookback)). Inputs Weeks Look Back (normalization window) Weeks Look Back for Historical Hi/Los (longer reference) Report Type selection Visuals Three indexes by trader group, plus reference levels (OB/OS, Midline, optional 0/100). Notes Some symbols map to specific CFTC codes for reliability. If no relevant COT data exists for the symbol, the script reports it clearly. If you want this adapted to a specific platform’s character limits (e.g., TradingView’s publish dialog), tell me the target length and I’ll trim it to fit.
Pine Script®指標
由dragos_cocos_dev提供
Bollinger Band Spread (Dunk)Bollinger Band Width measures the distance between the upper and lower Bollinger Bands. It reflects market volatility—wider bands mean higher volatility, narrower bands mean lower volatility. When the width contracts to low levels, it can signal price consolidation and potential breakouts. When the width expands, it indicates active markets or strong trends. Traders use it to spot volatility squeezes, confirm breakouts, and compare relative volatility across assets or timeframes.
Pine Script®指標
由dunk-devs提供
[Kpt-Ahab] Assistant: Risk & DCA PlannerScript Description – Assistant: Risk & DCA Planner The Risk & DCA Planner is a technical assistant for position and risk management. It automatically calculates, based on volatility (ATR%), swing structure, and your settings: Stop-Loss (SL) and corresponding Take-Profit targets (TPs) in R-multiples DCA (Dollar-Cost-Averaging) levels — both price and amount A market suitability check (based on volatility & volume) Plus a clear table and summary label displayed on the chart The script helps you plan risk, scaling, and profit targets consistently and quantitatively. Core Logic Risk Profile Three modes: Low, Normal, High. These define how reactive the script behaves internally: Low → conservative, longer lookbacks, tighter analysis Normal → balanced High → aggressive, faster reaction, wider stops Stop-Loss (SL) Automatically calculated from ATR% and recent swing structure, limited by minimum and maximum thresholds. The SL percentage defines the R-unit, which all TPs and DCA levels are based on. Take-Profits (TPs) Up to six targets, each a multiple of the defined risk (e.g., 1R, 2R, 3R). Prices are automatically adjusted depending on long or short direction. DCA Strategy Optional. Adds scaling levels evenly between Entry and SL or in multiples of the ATR. Each DCA allocation grows geometrically until the maximum position size is reached. Suitability Check Evaluates whether the market is within an appropriate ATR% range and has sufficient volume. The table displays “OK” or “Caution” depending on volatility and historical consistency. Visualization Lines for SL, TPs, and DCA levels A table with all parameters, prices, and risk data A chart label summarizing key info (profile, direction, SL%, TPs, DCA, etc.)
Pine Script®指標
由Kpt-Ahab提供
st 47Усредненный Ишимоку (Custom: 9/48/96) [V6]st47 — Volume in Clouds This indicator is a custom Ichimoku Cloud modification that dynamically reacts to market volume. The color intensity of the Kumo (cloud) changes depending on the current trading volume — brighter clouds indicate stronger activity, while dimmer ones reflect low participation. Key Features: • Based on the Ichimoku Cloud system (8/48/96 settings) • Volume-sensitive cloud visualization • Works on any timeframe and pair • Supports multi-ticker averaging (BTCUSDT, BTCUSDT.P, etc.) • Displays additional volume histogram below the chart Purpose: Helps visualize both trend structure and the strength behind it by combining Ichimoku logic with real-time volume dynamics.
Pine Script®指標
由sathabodn22提供
Bitcoin Fair Price Calculator [bitcoinfairprice.com]1. Purpose of the scriptLong-term Bitcoin valuation based on historical time (days since Genesis block) Fair Price = theoretically “fair” price according to power law. Bottom Price = lower support (historically ~58% below Fair Price). Daily display as on the website – without external access. Buy/sell signals in case of strong overvaluation/undervaluation. 2. Mathematical model (original formula)pinescript Bottom Price = Fair Price × 0.42 → Corresponds historically to ~58% below Fair Price. Days since Genesis block are calculated automatically per bar. 3. What is displayed in the chart? Fair Price Average power law line (“fair price”) Blue Bottom Price Lower support (“floor”) Green Power Law Corridor Filled area between 0.1× and 2.5× Fair Price Light blue (transparent) Table (top right) Daily values as on the website Black with white text Label (for >20% deviation) Shows current prices + percentage Red (overvalued) / Green (undervalued) 4. Recommended use Timeframe Recommendation Weekly / Monthly Best long-term signals Daily Good balance Log scale Be sure to activate! (Right-click on Y-axis → “Logarithmic scale”) 9. Strategy tips (based on the model) Price near bottom --> Buy / accumulate Price > 2.5× fair price --> Sell part of position / caution Price between fair & bottom --> Strong buy zone Deviation < -20% --> HODL signal Translated with DeepL.com (free version)
Pine Script®指標
由Christian_22提供
Market Opens + Killzones — New York, Tokyo & London (SMC/ICT)Market Opens + Killzones — New York, London & Tokyo (SMC/ICT) — TradingATH Precision. Timing. Liquidity. This refined overlay defines the world’s three dominant trading sessions — New York , London & Tokyo — plus their critical overlap. Each Opening and Killzone is plotted with full-height visual blocks and precise time anchoring, giving you an immediate understanding of when and where true price delivery begins. Designed for ICT and SMC Traders , it provides a disciplined structure to navigate intraday volatility — aligning executions with the moments institutional liquidity enters the market. What You’ll See New York Killzone (08:30 – 10:30 NY) → Gray full-height Block London Killzone (07:00 – 10:00 London) → Dark-gray Block Tokyo Killzone (09:00 – 11:00 Tokyo) → Black Block London–New York Overlap (13:30 – 16:00 London) → Blue Block Session Opening Lines : Precise vertical markers with optional labels and customizable color, style, and width. Every Block extends from chart top to bottom — forming crystal-clear time partitions that highlight where volatility and liquidity converge. Features True global time synchronization — automatic daylight-saving adjustment; no manual offset needed. Full-height killzones — visually structured blocks that scale seamlessly across any timeframe. Configurable session openings — control color, line width, label visibility, and transparency. Daily auto-reset — clean, non-repainting visuals with no overlap or drift. Lightweight performance — optimized rendering with zero lag, even on lower timeframes. Perfect For Intraday and Scalping Traders timing executions around session volatility. ICT / Smart Money Concepts practitioners focusing on liquidity windows. Traders seeking precise, time-based market context for entries and exits. Recommended Settings Line Width: 3–4 px for optimal visibility. Block Transparency: 60 – 75 % for clean chart integration. Focus: London + New York sessions for highest liquidity. In Short Simple. Accurate. Powerful. Market Opens + Killzones — New York, London & Tokyo (SMC/ICT) delivers a clean, professional mapping of institutional trading hours — allowing you to trade exactly when the market moves with purpose. Created by: TradingATH
Pine Script®指標
由PueblaATH提供
Strat 1-2 Break AlertsThe Strat 1-2 Break Alerts by Yolanda Marie Dixon This indicator automatically identifies Inside Bars (1) and alerts when price breaks out into a 2-1-2 Bullish or 2-1-2 Bearish setup — two of the most actionable patterns in The Strat methodology created by Rob Smith. 📊 What It Does: Marks Inside Bars with a yellow triangle below the candle. Plots a green “2-1-2↑” triangle when a bullish breakout occurs. Plots a red “2-1-2↓” triangle when a bearish breakdown occurs. Provides built-in alerts so traders never miss a 2-1-2 setup. 💡 How to Use It: Add the indicator to your chart, then go to Alerts → Create Alert → Condition: Strat 1-2 Break Alerts, and choose either 2-1-2 Up or 2-1-2 Down. Perfect for traders who follow The Strat and want simple, reliable visual and alert-based signals for 1-2 setups. — 🔔 Stay ready, stay Stratified. Master The Strat with instant alerts for every 2-1-2 breakout.
Pine Script®指標
由ydixon713提供
Ehlers Ultrasmooth Filter (USF)# USF: Ultrasmooth Filter ## Overview and Purpose The Ultrasmooth Filter (USF) is an advanced signal processing tool that represents the pinnacle of noise reduction technology for financial time series. Developed by John Ehlers, this filter implements a complex algorithm that provides exceptional smoothing capabilities while minimizing the lag typically associated with heavy filtering. USF builds upon the Super Smooth Filter (SSF) with enhanced noise suppression characteristics, making it particularly valuable for identifying clear trends in extremely noisy market conditions where even traditional smoothing techniques struggle to produce clean signals. ## Core Concepts * **Maximum noise suppression:** Provides the highest level of noise reduction among Ehlers' filter designs * **Optimized coefficient structure:** Uses carefully designed mathematical relationships to achieve superior filtering performance * **Market application:** Particularly effective for long-term trend identification and minimizing false signals in highly volatile market conditions The core innovation of USF is its second-order filter structure with optimized coefficients that create an exceptionally smooth frequency response. By careful mathematical design, USF achieves near-optimal noise suppression characteristics while minimizing the lag and waveform distortion that typically accompany such heavy filtering. This makes it especially valuable for identifying major market trends amid significant short-term volatility. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 20 | Controls the cutoff period | Increase for smoother signals, decrease for more responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** USF is ideal for defining major market trends - try using it with a length of 40-60 on daily charts to identify dominant market direction and ignoring shorter-term noise completely. ## Calculation and Mathematical Foundation **Simplified explanation:** The Ultrasmooth Filter creates an extremely clean price representation by combining current and past price data with previous filter outputs using precisely calculated mathematical relationships. This creates a highly effective "averaging" process that removes virtually all market noise while still maintaining the essential trend information. **Technical formula:** USF = (1-c1)X + (2c1-c2)X₁ - (c1+c3)X₂ + c2×USF₁ + c3×USF₂ Where coefficients are calculated as: - a1 = exp(-1.414π/length) - b1 = 2a1 × cos(1.414 × 180/length) - c1 = (1 + c2 - c3)/4 - c2 = b1 - c3 = -a1² > 🔍 **Technical Note:** The filter combines both feed-forward (X terms) and feedback (USF terms) components in a second-order structure, creating a response with exceptional roll-off characteristics and minimal passband ripple. ## Interpretation Details The Ultrasmooth Filter can be used in various trading strategies: * **Major trend identification:** The direction of USF indicates the dominant market trend with minimal noise interference * **Signal generation:** Crossovers between price and USF generate high-reliability trade signals with minimal false positives * **Support/resistance levels:** USF can act as strong dynamic support during uptrends and resistance during downtrends * **Market regime identification:** The slope of USF helps identify whether markets are in trending or consolidation phases * **Multiple timeframe analysis:** Using USF across different chart timeframes creates a cohesive picture of nested trend structures ## Limitations and Considerations * **Significant lag:** The extreme smoothing comes with increased lag compared to lighter filters * **Initialization period:** Requires more bars than simpler filters to stabilize at the start of data * **Less suitable for short-term trading:** Generally too slow-responding for short-term strategies * **Parameter sensitivity:** Performance depends on appropriate length selection for the timeframe * **Complementary tools:** Best used alongside faster-responding indicators for timing signals ## References * Ehlers, J.F. "Cycle Analytics for Traders," Wiley, 2013 * Ehlers, J.F. "Rocket Science for Traders," Wiley, 2001
Pine Script®指標
由mihakralj提供
F & W SMC Alerthis script is a custom TradingView indicator designed to combine elements of a trend‑following VWAP approach (inspired by the “Fabio” strategy) with a smart‑money‑concepts framework (inspired by Waqar Asim). Here’s what it does: * **Directional bias:** It calculates a 15‑minute VWAP and compares the current 15‑minute close to it. When price is above the 15‑minute VWAP, the script assumes a long bias; when below, a short bias. This reflects the trend‑following aspect of the Fabio strategy. * **Liquidity sweeps:** Using recent pivot highs and lows on the current timeframe, it identifies when price takes out a recent high (for potential longs) or low (for potential shorts). This represents a “liquidity sweep” — a fake breakout that collects stops and signals a possible reversal or continuation. * **Break of structure (BOS):** After a sweep, the script confirms that price is breaking away from the swept level (i.e., higher than recent highs for longs or lower than recent lows for shorts). This BOS confirmation helps avoid false signals. * **Entry filters:** For a long setup, the bias must be long, there must be a liquidity sweep followed by a BOS, and price must reclaim the current‑timeframe VWAP. For a short setup, the opposite conditions apply (short bias, sweep + BOS to the downside, and price rejecting the VWAP). * **Alerts and plot:** It provides two alert conditions (“Fabio‑Waqar Long Setup” and “Fabio‑Waqar Short Setup”) that you can attach to notifications. It also plots the intraday VWAP on your chart for visual reference. In short, this script watches for a confluence of trend direction, liquidity sweeps, structural shifts, and VWAP reclaim/rejection, and then notifies you when those conditions align. You can use it as an alerting tool to identify high‑probability setups based on these combined strategies.
Pine Script®指標
由dunnikarp提供