Mulakan

Cari dalam skrip untuk "btc期权交割时间"

Volume Z-Score [T2][T69]🧠 Overview This indicator calculates the Z-Score of volume to identify unusual trading activity, particularly those associated with whale-like behavior. It helps traders detect aggressive accumulation, distribution, or breakout setups based on volume anomalies relative to historical norms. 🔍 Features Z-Score plot of volume using a configurable lookback. Dynamic bar coloring based on Z-Score magnitude. 🐋 Small Whale marker appears when Z-Score exceeds +3. Supports manual adjustment of sensitivity through lookback bars input. 🧪 Risk Level & Behavior Reference 🔥 Aggressive (10–14) - Fast signal, high sensitivity to volume spikes. Suitable for scalping or altcoin breakouts. ⚖️ Moderate (20–30) - Balanced filtering of noise vs real movement. Recommended for most swing traders. 🛡️ Conservative (40–60+) - Filters out noise. Reacts only to sustained large volume anomalies. Ideal for longer timeframes or large-cap coins. ⚙️ How to Use (NON DIRECTIONAL INDICATOR) Use the Z-Score to gauge the strength of volume relative to recent history. When Z-Score > 1.5 → Considered above-average activity. When Z-Score > 3 → Marks a 🐋 Small Whale Move, potential for high-volatility follow-through. Combine with price action, support/resistance, or OBV for confirmation. ⚠️ Limitations This is a statistical signal, not directional. Works best when paired with context: supply zones, trend bias, or large candle patterns. 🧠 Advanced Tips Use multiple risk settings (e.g., 14 vs 50) on stacked indicators to track retail vs whale behavior separately. Works well with low-float tokens and high-leverage exchange pairs like BTC/USDT (Bybit). 📝 Disclaimer This script is provided for educational and analytical purposes only. Do your own research and manage your risk responsibly.
Penunjuk Pine Script®
oleh Teyo69
Price discovery indicatorGives an ability to show places where price drops more than n percent in x candles. Use cases: see dips of btc, get a notification when a stablecoin goes crazy, validate that webhook integration works as expected using keep alive messages. Features included: - Price dip alerts. Create an alert that sends a notification every time price dips more than expected (yellow zone at the chart). - Percentage drop threshold. Define how many percents price should drop to trigger an alert and to show a yellow zone. - Candles length threshold. Define within how many candles this drop should happen. If price drops in 2% within 10 candles, but this option is 5 - the alert will not be triggered because price dropped not as fast as expected. - Templates of messages on price dip and price recovery. Set your message that should be triggered with alert. - Keep alive feature. Set to trigger keep alive alerts every period. Can be helpful if you don't check charts often - this feature will trigger alert every period with "hey, the integration is alive" message. I use it to validate on weekly basis that tradingview triggers my alerts (example: you created an alert with expiration date and forgot to recreate it), that webhook integration receives these alerts, that the integration sends these alerts to telegram. Example: I expect to see this message every monday's morning, otherwise something is broken and I have to check what is wrong with my alerting system.
Penunjuk Pine Script®
oleh monetico
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr) Discover which instrument moves first with advanced cross-correlation analysis. This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships. Key Features: Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities) Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe Real-time correlation table - Shows current correlation values for all lag scenarios Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads Smart "Best" indicator - Automatically identifies the strongest relationship How to Use: Set your symbols in the indicator settings (default: NQ1! vs RTY1!) Adjust correlation length (default: 20 periods for smooth but responsive analysis) Watch the colored lines: • Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods • Blue: Instruments move simultaneously • Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods Check the table for exact correlation values and the "Best" relationship Interpreting Results: Correlation > 0.7: Strong positive relationship Correlation 0.3-0.7: Moderate relationship Correlation < 0.3: Weak/no relationship Highest line indicates the optimal timing relationship Popular Use Cases: Index Futures : NQ vs ES, RTY vs IWM Sector Rotation : XLF vs XLK, QQQ vs SPY Commodities : GC vs SI, CL vs NG Currency Pairs : EURUSD vs GBPUSD Crypto : BTC vs ETH correlation analysis Technical Notes: Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior. Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Penunjuk Pine Script®
oleh public_username_twice
🧪 Yuri Garcia Smart Money Strategy FULL (Slope Divergence))📣 Yuri Garcia – Smart Money Strategy FULL This is my private Smart Money Concept strategy, designed for my family and community to learn, trade, and grow sustainably. 🔑 How it works: ✅ Volume Cluster Zones: Automatically detects areas where strong buyers or sellers concentrate, acting as dynamic S/R levels. ✅ HTF Institutional Zones (4H): Higher timeframe trend filter ensures you’re always trading in the direction of major flows. ✅ Wick Pullback Filter: Confirms price rejects the zone, catching smart money traps and reversals. ✅ Cumulative Delta (CVD): Confirms whether buyers or sellers are truly in control. ✅ Slope-Based Divergence: Optional hidden divergence between price & CVD to spot reversals others miss. ✅ ATR Dynamic SL/TP: Adapts stop loss and take profit to live volatility with adjustable risk/reward. 🧩 Visual Markers Explained: 🟦 Blue X: Price inside HTF zone 🟨 Yellow X: Price inside Volume Cluster zone 🟧 Orange Circle: Wick pullback detected 🟥 Red Square: CVD confirms order flow strength 🔼 Aqua Triangle Up: Bullish slope divergence 🔽 Purple Triangle Down: Bearish slope divergence 🟢 Green Triangle Up: Final Long Entry confirmed 🔴 Red Triangle Down: Final Short Entry confirmed ⚡ Who is this for? This strategy is best suited for traders who understand smart money concepts, order flow, and want an adaptive framework to trade major assets like BTC, Gold, SP500, NASDAQ, or FX pairs. 🔒 Important Use responsibly, backtest extensively, and combine with solid risk management. This is for educational purposes only. ✨ Credits Built with ❤️ by Yuri Garcia – dedicated to my family & community. ✅ How to use it 1️⃣ Add to chart 2️⃣ Adjust inputs for your asset & timeframe 3️⃣ Enable/disable slope divergence filter to match your style 4️⃣ Set your alerts with built-in conditions
Strategi Pine Script®
oleh YGD_CONSULTING_LLC
RSI Overbought/Oversold MTFRSI Overbought / Oversold MTF — Dashboard & Alerts What it does This script scans up to 13 symbols at once and shows their RSI readings on three lower‑time‑frames (1 min, 5 min, 15 min). If all three RSIs for a symbol are simultaneously above the overbought threshold or below the oversold threshold, the script: Prints the condition (“Overbought” / “Oversold”) in a color‑coded dashboard table. Fires a one‑per‑bar alert so you never miss the move. Key features Feature Details Multi‑symbol Default list includes BTC, ETH, SOL, BNB, XRP, ADA, AVAX, AVAAI, DOGE, VIRTUAL, SUI, ALCH, LAYER (all Binance pairs). Replace or reorder in the inputs. Triple‑time‑frame check RSI is calculated on 1 m, 5 m, 15 m for each symbol. Customizable thresholds Set your own RSI Period, Overbought and Oversold levels. Defaults: 14 / 70 / 30. Color‑coded dashboard Top‑right table shows: • Symbol name • RSI 1 m / 5 m / 15 m (red = overbought, green = oversold, white = neutral) • Overall Status column (“Overbought”, “Oversold”, “Mixed”). Alerts built in Triggers once per bar whenever a symbol is overbought or oversold on all three time‑frames simultaneously. Typical use cases Scalp alignment — Enter when all short TFs agree on overbought/oversold extremes. Mean‑reversion spotting — Identify stretched conditions across multiple coins without switching charts. Quick sentiment scan — Glance at the dashboard to see where momentum is heating up or cooling down. How to use Add to chart (overlay = false; it sits in its own pane). Adjust symbols & thresholds in the Settings panel. Create alerts → choose “RSI Overbought/Oversold MTF” → “Any Alert() Function Call” to receive push, email, or webhook notifications. Note: The script queries many symbols each bar; use on lower time‑frames only if your data limits allow. For educational purposes only — not financial advice. Always test on paper before trading live.
Penunjuk Pine Script®
oleh kickass08014
Big Trade % Heatmap### Big Trade % Heatmap **Quick overview** This indicator highlights where “whale” activity is clustered by showing what fraction of the recent candles contained *large‑value trades*. A candle is considered “big” when its notional volume (`volume × close`) exceeds your chosen USD threshold. You instantly see: * **Percent of big candles** in the last *N* bars, refreshed at the cadence you pick. * **On‑chart labels & markers** every refresh, so the chart stays clean. * **Optional heat‑map background** that turns orange (>20 %) or green (>50 %) when big‑trade concentration spikes. * **Ready‑made alert** when big‑trade dominance crosses 50 %. --- #### How it works 1. **Trade size per candle** – Calculates `close × volume` to estimate dollars traded. 2. **Threshold filter** – Flags candles whose value is above *Big Trade Threshold (\$)*. 3. **Look‑back window** – Counts what percentage of the last *Lookback Window (X Candles)* were “big.” 4. **Refresh interval** – Repeats the measurement only every *Refresh Interval (Every X Candles)* to avoid label spam. 5. **Visuals** – * A small blue ▼ above the bar + a text label such as `35.00 % > $25 000`. * Background shading (green/orange) for quick, at‑a‑glance sentiment. --- #### Inputs | Input | Purpose | Default | | -------------------------------------- | ----------------------------------------------------- | ------- | | **Lookback Window (X Candles)** | How many recent bars to sample for the % calculation. | 20 | | **Refresh Interval (Every X Candles)** | How often to display a new label/marker. | 5 | | **Big Trade Threshold (\$)** | Minimum USD value for a candle to count as “big.” | 10 000 | Tune these to the symbol and timeframe you trade (e.g., raise the threshold for BTC‑USDT 1‑h, lower it for micro‑caps). --- #### Alerts Enable **“High Big Trade %”** to get notified the moment more than half of the last *N* candles qualify as big trades—handy for spotting sudden accumulation or distribution. --- #### Typical use cases * **Breakout confirmation** – A surge in big‑trade % just before price escapes a range can validate the move. * **Whale spotting** – Detect hidden accumulation on pullbacks or aggressive selling into rallies. * **Filter noise** – Combine with your favorite trend indicator; only act when both align. --- > *Built with Pine Script v6. Always back‑test before trading live; this tool is for educational purposes and not financial advice.*
Penunjuk Pine Script®
oleh kickass08014
50/100 EMA Crossover with Candle Confirmation📘 **50/100 EMA Crossover with Candle Confirmation – Strategy Description** The **50/100 EMA Crossover with Candle Confirmation** is a trend-following strategy designed to filter high-probability entries by combining exponential moving average (EMA) crossovers with strong price action confirmation. This strategy aims to reduce false signals commonly associated with EMA-only systems by requiring a **candle close confirmation in the direction of the trend**, making it more reliable for intraday or swing trading across Forex, crypto, and stock markets. --- ### 🔍 **Core Logic** * The strategy is based on the interaction of the **50 EMA** (fast-moving average) and the **100 EMA** (slow-moving average). * **Trend direction** is determined by the crossover: * **Bullish Trend**: When the 50 EMA crosses **above** the 100 EMA. * **Bearish Trend**: When the 50 EMA crosses **below** the 100 EMA. * To **filter out false breakouts**, a **candle confirmation** is used: * For a **Buy signal**: After a bullish crossover, wait for a strong bullish candle (e.g., full-body green candle) to **close above both EMAs**. * For a **Sell signal**: After a bearish crossover, wait for a strong bearish candle to **close below both EMAs**. --- ### ✅ **Entry Conditions** **Buy Entry:** * 50 EMA crosses above 100 EMA. * Latest candle closes **above both EMAs**. * Candle must be bullish (green/full body preferred). **Sell Entry:** * 50 EMA crosses below 100 EMA. * Latest candle closes **below both EMAs**. * Candle must be bearish (red/full body preferred). --- ### 🛑 **Exit or Take-Profit Options** * **Fixed TP/SL**: 1:2 or 1:3 risk-reward. * **Trailing Stop**: Based on recent swing highs/lows or ATR. * **EMA Exit**: Exit trade when the candle closes on the opposite side of 50 EMA. --- ### ⚙️ **Best Settings** * **Timeframes**: 5M, 15M, 1H, 4H (works well on most). * **Markets**: Forex, Crypto (e.g., BTC/ETH), Indices (e.g., NASDAQ, NIFTY50). * **Recommended filters**: * Use with RSI divergence or volume confirmation. * Avoid using during high-impact news (especially on lower timeframes). --- ### 🧠 **Why This Works** The 50/100 EMA crossover provides a **medium-term trend signal**, reducing noise seen in fast EMAs (like 9 or 21). The candle confirmation adds a **momentum filter**, ensuring price supports the directional bias. This makes it suitable for traders who want a balance of trend and entry precision without overcomplicating with too many indicators. --- ### 📈 **Advantages** * Simple yet effective for identifying trends. * Filters out fakeouts using candle confirmation. * Easy to automate in Pine Script or other trading bots. * Can be combined with support/resistance or SMC zones for better confluence. --- ### ⚠️ **Limitations** * May lag slightly in ranging markets. * Late entries possible due to confirmation candle. * Works best with additional volume or volatility filter.
Penunjuk Pine Script®
oleh freefeeltrader
Max Drawdown (Asset-Based Lookback)Max Drawdown (Long-Term Trading) 🟦 Majors BTC, ETH, BNB, LTC 180 – 365 Captures full correction cycles and recovery patterns (6–12 months). 🟩 Altcoins SOL, ADA, DOT, LINK, AVAX 90 – 180 Alts move faster than majors; 3–6 months catches most large swings. 🟥 Meme coins DOGE, SHIB, PEPE, FLOKI 60 – 120 Volatile with quick trend reversals; 2–4 months captures parabolic runs + drawdowns. 📅 Chart Timeframe: Use Daily (1D) timeframe for all these. For extra macro insight, try Weekly (1W) with 52 bars (≈ 1 year). Compare multiple assets using the same period to assess relative risk. If you're building a long-term portfolio, combine this with: 200-day SMA or EMA for trend context. Sharpe Ratio or Sortino Ratio if you're looking for risk-adjusted return metrics.
Penunjuk Pine Script®
oleh scottysavage
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1 Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles. Purpose of the Indicator The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions. Inputs The indicator offers the following user-definable inputs: * **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance. * **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart. * **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables. Outputs The indicator provides two main types of output: Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price. Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix. How to Use the Indicator 1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT). 2. **Adjust Inputs:** * **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships. * **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence. 3. **Analyze Relevance Scores:** * **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves? * **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables. 4. **Incorporate into Strategy:** Use the insights from the relevance scores to: * Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves. * Understand the influence of inter-market relationships (via the External Asset Close). How the Indicator Works The indicator works by performing the following steps on each bar: 1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` . 2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations. 3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship. 4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" . 5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) . How it Differs from Full O-PLS This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs: * **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging. * **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations. * **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine. * **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits. In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Penunjuk Pine Script®
oleh VolatilityRob
RSI Mansfield +RSI Mansfield+ – Adaptive Relative Strength Indicator with Divergences Overview RSI Mansfield+ is an advanced relative strength indicator that compares your instrument’s performance against a configurable benchmark index or asset (e.g., Bitcoin Dominance, S&P 500). It combines Mansfield normalization, adaptive smoothing techniques, and automatic detection of bullish and bearish divergences (regular and hidden), delivering a comprehensive tool for assessing relative strength across any market and timeframe. Originality and Motivation Unlike traditional relative strength scripts, this indicator introduces several distinctive improvements: Mansfield Normalization: Scales the ratio between the asset and the benchmark relative to its moving average, transforming it into a normalized oscillator that fluctuates around zero, making it easier to spot outperformance or underperformance. Adaptive Smoothing: Automatically selects whether to use EMA or SMA based on the market type (crypto or stocks) and timeframe (intraday, daily, weekly, monthly), avoiding manual configuration and providing more robust results under varying volatility conditions. Divergence Detection: Identifies four types of divergences in the Mansfield oscillator to help anticipate potential reversal points or trend confirmations. Multi-Market Support: Offers benchmark selection among major crypto and global stock indices from a single input. These enhancements make RSI Mansfield+ more practical and powerful than conventional relative strength scripts with static benchmarks or without divergence capabilities. Core Concepts Relative Strength (RS): Compares price evolution between your asset and the selected benchmark. Mansfield Normalization: Measures how much the RS deviates from its historical moving average, expressed as a scaled oscillator. Divergences: Detects regular and hidden bullish or bearish divergences within the Mansfield oscillator. Timeframe Adaptation: Dynamically adjusts moving average lengths based on timeframe and market type. How It Works Benchmark Selection Choose among over 10 indices or market domains (BTC Dominance, ETH Dominance, S&P 500, European indices, etc.). Ratio Calculation Computes the price-to-benchmark ratio and smooths it with the adaptive moving average. Normalization and Scaling Transforms deviations into a Mansfield oscillator centered around zero. Dynamic Coloring Green indicates relative outperformance, red signals underperformance. Divergence Detection Automatically identifies bullish and bearish (regular and hidden) divergences by comparing oscillator pivots against price pivots. Baseline Reference A clear zero line helps interpret relative strength trends. Usage Guidelines Benchmark Comparison Ideal for traders analyzing whether an asset is outperforming or lagging its sector or market. Divergence Analysis Helps detect potential reversal or continuation signals in relative strength. Multi-Timeframe Compatibility Can be applied to intraday, daily, weekly, or monthly charts. Interpretation Oscillator >0 and green: outperforming the benchmark. Oscillator <0 and red: underperforming. Bullish divergences: potential relative strength reversal to the upside. Bearish divergences: possible loss of momentum or reversal to the downside. Credits The concept of Mansfield Relative Strength is based on Stan Weinstein’s original work on relative performance analysis. This script was built entirely from scratch in TradingView Pine Script v6, incorporating original logic for adaptive smoothing, normalized scaling, and divergence detection, without reusing any external open-source code.
Penunjuk Pine Script®
oleh Max_GS
1
Exponential-Decay Cumulative Spread (Cycle-Tuned)## Indicator Overview **Exponential-Decay Cumulative Spread (Cycle-Tuned)** – short title **LambdaCumDelta** – tracks the percentage spread between CEXs BTC spot prices. By clipping outliers, applying an exponential-decay running sum, and comparing that sum to rolling percentile bands, the script flags potential **cycle bottoms** and **cycle tops** whenever the cumulative spread stays beyond extreme thresholds for three consecutive bars. --- ### Core Logic 1. **Price Spread** `spread_pct = (cexA – cexB) / cexB × 100`. 2. **Outlier Suppression** * Calculates the **90-day standard deviation σ** of `spread_pct`. * Uses a **clip coefficient `k_clip`** (0.5–5.0) to cap the spread at `±k_clip × σ`, damping single-day anomalies. 3. **Exponential-Decay Sum** * Applies a decay factor **λ** (0.50–0.999): ``` CumΔₜ = spread_clipₜ + λ × CumΔₜ₋₁ ``` * Larger λ → longer memory half-life. 4. **Rolling Percentile Bands** * Uses a **365-bar window** to derive dynamic percentile thresholds. * Upper / Lower bands are set by **perc\_hi** and **perc\_lo** (e.g., 85 % and 15 %). 5. **Signal Definition** * **Bullish** (cycle bottom): `CumΔ` above the upper band for **3 straight bars**. * **Bearish** (cycle top): `CumΔ` below the lower band for **3 straight bars**. --- ### Chart Elements | Plot | Style | Meaning | | --------------- | ----------------- | ----------------------------------- | | **CumΔ** | Teal thick line | Exponential-decay cumulative spread | | Upper Threshold | Green thin line | Rolling upper percentile | | Lower Threshold | Red thin line | Rolling lower percentile | | Background | Faded green / red | Bullish / bearish signal zone | --- ### Key Inputs | Input | Default | Purpose | | -------------------- | ------- | ------------------------------- | | **Decay factor λ** | 0.95 | Memory length of CumΔ | | **Clip coefficient** | 2.0 | Multiple of σ for outlier cap | | **Upper percentile** | 85 | Cycle-bottom trigger percentile | | **Lower percentile** | 15 | Cycle-top trigger percentile | --- ### Practical Tips 1. **Timing bias** * Green background often precedes mean-reversion of the spread – consider scaling into longs or covering shorts. * Red background suggests stretched positive spread – consider trimming longs or lightening exposure. 2. **Combine with volume, trend filters (MA, MACD, etc.)** to weed out false extremes. 3. Designed for **daily charts**; ensure both exchange feeds are synchronized. --- ### Alerts Two built-in `alertcondition`s fire when bullish or bearish criteria are met, enabling push / email / webhook notifications. --- ### Disclaimer This script is for educational and research purposes only and is **not** financial advice. Test thoroughly and trade at your own risk.
Penunjuk Pine Script®
oleh Yarlung
Dynamic SL/TP Levels (ATR or Fixed %)This indicator, "Dynamic SL/TP Levels (ATR or Fixed %)", is designed to help traders visualize potential stop loss (SL) and take profit (TP) levels for both long and short positions, refreshing dynamically on each new bar. It assumes entry at the current bar's close price and uses a fixed 1:2 risk-reward ratio (TP is twice the distance of SL in the profit direction). Levels are displayed in a compact table in the chart pane for easy reference, without cluttering the main chart with lines. Key Features: Calculation Modes: ATR-Based (Dynamic): SL distance is derived from the Average True Range (ATR) multiplied by a user-defined factor (default 1.5x). This adapts to the asset's volatility, providing breathing room based on recent price movements. Fixed Percentage: SL is set as a direct percentage of the current close price (default 0.5%), offering consistent gaps regardless of volatility. Long and Short Support: Calculates and shows SL/TP for longs (SL below close, TP above) and shorts (SL above close, TP below), with toggles to hide/show each. Real-Time Updates: Levels recalculate every bar, making them readily available for entry decisions in your trading system. Display: Outputs to a table in the top-right pane, showing precise values formatted to the asset's tick size (e.g., full decimal places for crypto). How to Use: Add the indicator to your chart via TradingView's Pine Editor or library. Adjust settings: Toggle "Use ATR?" on/off to switch modes. Set "ATR Length" (default 14) and "ATR Multiplier for SL" for dynamic mode. Set "Fixed SL %" for percentage mode. Enable/disable "Show Long Levels" or "Show Short Levels" as needed. Interpret the table: Use the displayed SL/TP values when your strategy signals an entry. For risk management, combine with position sizing (e.g., risk 1% of account per trade based on SL distance). Example: On a volatile asset like BTC, ATR mode might set a wider SL for realism; on stable pairs, fixed % ensures predictability. This tool promotes disciplined trading by tying levels to price action or fixed rules, but it's not financial advice—always backtest and use with your full strategy. Feedback welcome!
Penunjuk Pine Script®
oleh MonkeyPhone
Asset Premium/Discount Monitor📊 Overview The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities. 🎯 Use Cases Perfect for analyzing: NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector Any two correlated assets where relative value matters Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile. 🔧 How It Works Core Calculation Ratio Analysis: Calculates the price ratio between your asset and the correlated asset Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this. Premium Measurement: Measures current deviation from historical average as a percentage Statistical Context: Provides percentile rankings and standard deviation bands The Math Premium % = (Current Ratio / Historical Average Ratio - 1) × 100 🎨 Customization Options Correlated Asset: Choose any symbol for comparison Lookback Period: Adjust historical baseline (50-1000 days) Smoothing: Reduce noise with moving average (1-50 days) Visual Toggles: Show/hide bands and percentile lines Color Themes: Customize premium/discount colors 📊 Interpretation Guide Premium/Discount Reading Positive %: Asset trading above historical relationship (premium) Negative %: Asset trading below historical relationship (discount) Near 0%: Asset at fair value relative to correlation Percentile Ranking 90%+: Near recent highs - potential selling opportunity 10% and below: Near recent lows - potential buying opportunity 25-75%: Normal trading range Signal Classifications 🔴 SELL PREMIUM: Asset expensive relative to recent range 🟡 Premium Rich: Moderately expensive, monitor for reversal ⚪ NEUTRAL: Fair value territory 🟡 Discount Opportunity: Moderately cheap, potential accumulation zone 🟢 BUY DISCOUNT: Asset cheap relative to recent range 🚨 Built-in Alerts Extreme Premium Alert: Triggers when percentile > 95% Extreme Discount Alert: Triggers when percentile < 5% ⚠️ Important Notes Works best with highly correlated assets Historical relationships can change - monitor correlation strength Not investment advice - use as one factor in your analysis Backtest thoroughly before implementing any strategy 🔄 Updates & Future Features This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Penunjuk Pine Script®
oleh HenriqueCentieiro