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Sector Analysis [SS]Introducing the most powerful sector analysis tool/indicator available, to date, in Pine! This is a whopper indicator, so be sure to read carefully to ensure you understand its applications and uses! First of all, because this is a whopper, let's go over the key functional points of the indicator. The indicator compares the 11 main sector ETFs against whichever ticker you are looking at. The functions include the following: Ability to pull technicals from the sectors, such as RSI, Stochastic and Z-Score; Ability to look at the correlation of the sector ETF to the current ticker you are looking at. Ability to calculate the R2 value between the ticker you are looking at and each sector. The ability to run a Two Tailed T-Test against the log returns of the Ticker of interest and the Sector (to analyze statistically significant returns between sectors/tickers). The ability to analyze the distribution of returns across all sector ETFs. The ability to pull buying and selling volume across all sector ETFs. The ability to create an integrated moving average using a sector ETF to predict the expected close range of a ticker of interest. These are the highlight functions. Below, I will go more into them, what they mean and how to use them. Pulling Technicals This is pretty straight forward. You can pull technicals, such as RSI, Stochastic and Z-Score from all the sector ETFs and view them in a table. See below for the example: Pulling Correlation In order to see which sector your ticker of interest follows more closely, we need to look first at correlation and then at R2. The correlation will look at the immediate relationship over a specified time. A highly positive value, indicates a strong, symbiotic relationship, which the sector and the ticker follow each other. This would be represented by a correlation of 0.8 or higher. A strong negative correlation, such as -0.8 or lower, indicates that the sector and the ticker are completely opposite. When one goes up, the other goes down and vice versa. You can adjust your correlation assessment length directly in the settings menu: If you want to use a sector ETF to find the expected range for a ticker of interest, it is important to locate the highest, POSITIVE, correlation value. Here are the results for MSFT at a correlation lookback of 200: In this example, we can see the best relationship is with the ETF XLK. Analysis of R2 R2 is an important metric. It essentially measures how much of the variance between 2 tickers are explained by a simple, linear relationship. A high R2 means that a huge degree of variance can be explained between the 2 tickers. A low R2 means that it cannot and that the 2 tickers are likely not integrated or closely related. In general, if you want to use the sector ETF to find the mean and trading range and identify over-valuation/over-extension and under-extension statistically, you need to see both a high correlation and a high R-Squared. These 2 metrics should be analyzed together. Let's take a look at MSFT: Here, despite the correlation implying that XLK was the ticker we should use to analyze, when we look at the R Squared, we see actually, we should be using XLI. XLI has a strong positive relationship with MSFT, albeit a bit less than XLK, but the R2 is solid, > 0.9, indicating the XLI explains much of MSFT's variance. Two Tailed T-Test A two tailed T-test analyzes whether there is a statistically significant difference between 2 different groups, or in our case, tickers. The T-Test is conducted on the log returns of the ticker of interest and the sector. You then can see the P value results, whether it is significant or not. Let's look at MSFT again: Looking at this, we can see there is no statistically significant difference in returns between MSFT and any of the sectors. We can also see the SMA of the log returns for more detailed comparison. If we were to observe a significant finding on the T-Test metrics, this would indicate that one sector either outperforms or underperforms your ticker to a statistically significant degree! If you stumble upon this, you would check the average log returns to compare against the average returns of your ticker of interest, to see whether there is better performance or worse performance from the sector ETF vs. your ticker of interest. Analyzing the Distribution The indicator will also analyze the distribution of returns. This is an interesting option as it can help you ascertain risk. Normally distributed returns imply mean reverting behavviour. Deviations from that imply trending behaviour with higher risk expectancy. If we look at the distribution statistics currently over the last 200 trading days, here are the results: Here, we can see all show signs of trending, as none of the returns are normally distributed. The highest risk sectors are XLK and XLY. Why are they the highest risk? Because the indicator has found a heavy right tailed distribution, indicated sudden and erratic mean reversion/losses are possible. Creating an MA Now for the big bonus of the indicator! The indicator can actually create a regression based range from closely correlated sectors, so you can see, in sectors that are strongly correlated to your ticker, whether your ticker is over-bought, oversold or has mean reverted. Let's look at MSFT using XLI, our previously identified sector with a high correlation and high R2 value: The results are pretty impressive. You can see that MSFT has rode the mean of the sector on the daily timeframe for quite some time. Each time it over extended itself above the sector implied range, it mean reverted. Currently, if you were to trade based on Pairs or statistics, MSFT is no trade as it is currently trading at its sector mean. If you are a visual person, you can have the indicator plot the mean reversion points directly: Green represents a bullish mean reversion and red a bearish mean reversion. Concluding Remarks If you like pair trading, following the link between sectors and tickers or want a more objective way to determine whether a ticker is over-bought or oversold, this indicator can help you. In addition to doing this, the indicator can provide risk insights into different sectors by looking at the distribution, as well as identify under-performing sectors or tickers. It can also shed light on sectors that may be technically over-bought or oversold by looking at Z-Score, stochastics and RSI. Its a whopper and I really hope you find it helpful and useful! Thanks everyone for reading and checking this out! Safe trades!
Indicador Pine Script®
por Steversteves
1
Pullback Levels from ATH# ATH Pullback Levels **Assess correction depth with precision – 5%, 10%, 15%, 20% below All-Time High** --- ### Overview This indicator draws **horizontal support lines** at **5%, 10%, 15%, and 20%** below the **All-Time High (ATH)** of any asset. Perfect for **swing traders**, **long-term investors**, and **bull market participants** who want to: - Measure **pullback depth** in real-time - Identify **potential support zones** - Set **alerts** when price enters key retracement levels --- ### Features | Feature | Description | |--------|-------------| | **Dynamic ATH Tracking** | Automatically updates with every new high | | **4 Pullback Levels** | 5%, 10%, 15%, 20% below ATH | | **Live Pullback % Label** | Shows current % drop from ATH (top-right) | | **Customizable Lines** | Toggle visibility, change colors & styles | | **Built-in Alerts** | Trigger on entry into each zone | | **No Errors** | Works on 50k+ bar charts (BTC, SPX, etc.) | | **Time-Based Lines** | Uses `xloc.bar_time` – no 500-bar future limit | --- ### How to Use 1. Apply to any chart (stocks, crypto, forex, indices) 2. Watch the **info box** for current pullback % 3. Use lines as **potential buy zones** during corrections 4. Set **alerts** to be notified when price enters a level > Example: If ATH = $100 → > - 5% = $95 > - 10% = $90 > - 15% = $85 > - 20% = $80 --- ### Inputs - **Show 5% / 10% / 15% / 20% Level** → Toggle on/off - **Line Colors** → Fully customizable - **Line Style** → Solid, Dashed, or Dotted --- ### Alerts Create alerts directly from the indicator: - `"Entered 5% Pullback"` - `"Entered 10% Pullback"` - etc. --- ### Best For - Bull market corrections - Long-term position sizing - Risk management in uptrends - Swing entries on dips --- ### Notes - Works on **all timeframes** - **Log scale compatible** (lines adjust correctly) - No repainting – ATH only updates on confirmed highs --- **Built with Pine Script v6 – Clean, fast, reliable.** *Happy trading!*
Indicador Pine Script®
por SmartGatorTrader
Volumatic VIDYA – Pro+1. Professional & Clear (recommended for TradingView) Volumatic VIDYA Pro+ combines a dynamic VIDYA trend filter, Delta Volume pressure, and automatic pattern recognition (Double/Triple Tops & Bottoms, Head & Shoulders). A complete technical tool for detecting momentum shifts, trend reversals, and trade entries across multiple timeframes. 2. Short & Catchy Adaptive VIDYA trendline + Delta Volume + Pattern detection in one tool. Instantly visualize market bias, structure, and momentum strength. 3. Educational / Analytical Analyze market dynamics with VIDYA-based trend filtering, volume delta analysis, and automated pattern recognition. Ideal for traders who combine price action with quantitative confirmation.
Indicador Pine Script®
por jr36187
Gann Astronomical Turning PointsThis is a comprehensive Pine Script that implements W.D. Gann's astronomical theories to identify potential market turning points. Here's a detailed breakdown of the script: Overview The script identifies and displays astronomical events (sun angles, moon phases, and Mercury retrogrades) that Gann theorists believe correlate with market turning points. It also analyzes historical price performance following these events to provide statistical significance. Key Components 1. Input Parameters Date Range: Users can set the analysis period (start and end dates) Display Options: Toggle visibility of different astronomical events and tables Analysis Settings: Configure the lookback period for price change analysis (1-20 days) 2. Astronomical Calculations The script includes several functions to calculate celestial positions: getDaysSinceEpoch(t): Calculates days since January 1, 2000 (reference point) getSunLongitude(t): Computes the Sun's position in the ecliptic (0-360°) getMoonPhase(t): Determines the Moon's phase angle relative to the Sun getMercuryLongitude(t): Calculates Mercury's position in the ecliptic 3. Gann Critical Angles (Sun Events) The script identifies when the Sun reaches four critical angles that Gann considered significant: 0° Aries (Spring Equinox) 90° Cancer (Summer Solstice) 180° Libra (Fall Equinox) 270° Capricorn (Winter Solstice) These are detected by tracking when the Sun's longitude crosses these specific angles. 4. Moon Phases Four key moon phases are identified: New Moon: Moon passes between Earth and Sun First Quarter: Moon is 90° east of Sun Full Moon: Moon is opposite the Sun Last Quarter: Moon is 270° east of Sun 5. Mercury Retrograde Periods The script detects when Mercury appears to move backward in its orbit: Identifies start and end dates of retrograde motion Displays these periods as highlighted zones on the chart 6. Price Change Analysis For each astronomical event, the script: Calculates the percentage price change over a user-defined lookback period Categorizes changes as positive or negative Stores this data for statistical analysis 7. Statistical Significance The script calculates several metrics for each event type: Average Price Change: Mean percentage change following events Up/Down Ratio: Number of positive vs. negative changes Accuracy Percentage: How often the dominant direction occurred 8. Visual Elements The script includes multiple display components: Event Labels Sun Angles: Orange sun symbols displayed above price bars Moon Phases: Moon phase emojis displayed below price bars Mercury Retrograde: Red boxes highlighting the retrograde periods Information Tables Events Table: Shows upcoming and recent astronomical events Significance Analysis Table: Displays statistical performance of each event type Forecast Section: Identifies the next upcoming event and predicted direction 9. Forecasting Functionality The script predicts market direction for the next astronomical event based on: Historical average price change for that event type Statistical accuracy of previous similar events Color-coded forecast (green for bullish, red for bearish) This script offers an interesting implementation of Gann's astronomical theories, but should be used as part of a broader analysis rather than as a standalone trading system. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk assessment before trading.
Indicador Pine Script®
por kingshukghosh71
Buy&Hold Profitcalculator in EuroTitle: Buy & Hold Strategy in Euro Description: This Pine Script implements a simple yet flexible Buy & Hold strategy denominated in Euros, suitable for a wide range of assets including cryptocurrencies, forex pairs, and stocks. Key Features: Custom Investment Amount: Define your invested capital in Euros. Flexible Start & End Dates: Specify exact entry and exit dates for the strategy. Automatic Currency Conversion: Supports assets priced in USD or USDT, converting the invested capital to chart currency using the EUR/USD exchange rate. Single Entry and Exit: Executes a one-time Buy & Hold position based on the defined timeframe. Profit and Performance Tracking: Calculates total profit/loss in Euros and percentage returns. Smart Exit Label: Displays a dynamic label at the exit showing final position value, net profit/loss, and return percentage. The label automatically adjusts its position above or below the price bar for optimal visibility. Visual Enhancements: Position value and profit/loss plotted on the chart. Background color highlights the active investment period. Buy and Sell markers clearly indicate entry and exit points. This strategy is ideal for traders and investors looking to simulate long-term positions and evaluate performance in Euro terms, even when trading USD-denominated assets. Usage Notes: Best used on daily charts for medium- to long-term analysis. Adjust start and end dates, as well as invested capital, to simulate different scenarios. Works with any asset, but currency conversion is optimized for USD or USDT-pegged instruments.
Estratégia Pine Script®
por TraderJoe53
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Indicador Pine Script®
por SurgeGuru
2
High and low statisticsHigh/Low Pattern Analyzer (All Timeframes) Ever wonder if there's a hidden pattern in the market? Does the high of the week usually happen on a Tuesday? Does the low of the month always form in the first week? Which 15-minute candle really sets the high for the entire day? This indicator is a powerful statistical tool designed to answer these questions by analyzing historical price action to find patterns in when the high and low of a period are formed. The Core Idea: Daily High & Low of the Week The simplest and most popular feature of this indicator is the "Daily high and low of the week" analysis. What it does: It looks back over your chosen number of weeks (e.g., the last 100) and finds out which day of the week (Monday, Tuesday, Wednesday, etc.) made the final high and which day made the final low for each of those weeks. How to use it: Go to the script settings. Enable the "Daily High/Low of the Week" module. Set your chart to the 1D (Daily) timeframe. A table will appear on your chart (bottom-right by default) showing the exact count and percentage for each day. This lets you see at a glance if there's a strong tendency for the market you're watching. Advanced Analysis: Other Timeframes This script goes far beyond just the daily chart. It includes four other independent analysis modules: 1. 4-Hour High/Low of the Week What it does: For intraday and swing traders. This module finds which 4-hour candle session (e.g., the 08:00 candle, the 16:00 candle) tends to form the high or low of the entire week. Key Feature (DST Aware): This table is "season-aware." It knows that the 08:00 "summertime" (DST) candle is the same trading session as the 07:00 "wintertime" (STD) candle. It groups them together so your data is never split or messy. 2. Weekly High/Low of the Month What it does: For a monthly perspective. This module finds which week of the month (Week 1, 2, 3, 4, or 5) is most likely to form the monthly high or low. How to use: Enable it and set your chart to the 1W (Weekly) timeframe. 3. Monthly High/Low of the Year What it does: The ultimate "big picture" view. This module finds which month (Jan, Feb, Mar, etc.) most frequently forms the high or low for the entire year. How to use: Enable it and set your chart to the 1M (Monthly) timeframe. The Power User Module: Custom Timeframe Analysis This is the most powerful feature. It lets you analyze any timeframe combination you want. What it does: It finds out which "Lower Timeframe" (LTF) candle made the high or low of any "Higher Timeframe" (HTF) you choose. Example: Do you want to know which 15-minute candle makes the Daily high? Set your chart to the 15M timeframe. Go to the "Custom Timeframe Analysis" settings. Set the "Higher Timeframe" to "1D". The script will draw a "season-aware" table (just like the 4H module) showing you the exact 15-minute candles (09:15, 09:30, etc.) that are statistically most likely to form the day's high or low. Other Features Show Labels: Each module has an option to "Show labels," which will draw a label (e.g., "Daily High of the Week") directly on the chart at the exact bar that made the high or low. Custom Dividers: Each module has its own optional, color-customizable divider (e.g., weekly, monthly) that you can toggle on to see the periods more clearly. Clean Settings: All modules are disabled by default (except for "Daily") to keep your chart clean. You only need to enable the specific analysis you want to see. This tool was built to turn your curiosity about market patterns into actionable, statistical data. Enjoy!
Indicador Pine Script®
por nickbonenkamp
VIX Regime AnalyzerVIX Regime Analyzer The VIX Regime Analyzer is an analytical tool that examines historical VIX patterns to provide insights into how your asset typically performs under similar volatility conditions. Key Features: Historical Pattern Matching: Automatically scans up to 1,000 bars of history to find all periods when VIX was at levels similar to today, using customizable tolerance ranges (absolute or percentage-based). Forward-Looking Statistics: For each VIX regime match, calculates what actually happened to your asset over the next 1, 5, 10, and 20 trading days, providing both average returns and probability of positive outcomes. Regime Classification System: Intelligently categorizes the current market environment as bullish or bearish: Visual Historical Context: Background shading throughout your chart highlights every historical period when VIX matched current levels, color-coded by subsequent performance (green for gains, red for losses). User Inputs: VIX Level Tolerance (+/-): How closely VIX must match (default: ±5 points) Use Relative Tolerance (%): Switch to percentage-based matching for consistency across different VIX levels Lookback Period: How many bars to analyze Highlight Historical VIX Matches: Toggle background highlighting of past matching periods The Data Table The statistics box appears in the right handside of your chart and contains three main sections: Section 1: VIX REGIME Current VIX: The live VIX closing price Range: The tolerance band being searched (e.g., if VIX is 18 with ±5 tolerance, range is 13-23) Historical Samples: Number of matching periods found in the lookback window (minimum 10 required for statistical validity) Section 2: FORWARD RETURN Shows the average percentage change in your asset over different timeframes following similar VIX levels: Avg Next Day: What typically happened by the next trading session Avg Next 5 Days: Average 5-day forward performance Avg Next 10 Days: Average 10-day forward performance Avg Next 20 Days: Average 20-day forward performance (approximately 1 month) Section 3: PROBABILITY UP Shows the win rate - the percentage of times your asset closed higher after VIX matched current levels: Next Day: Probability of being up the next session Next 5 Days: Probability of being up after 5 days Next 10 Days: Probability of being up after 10 days Next 20 Days: Probability of being up after 20 days Colors: 🟢 Green: Bullish regimes (various strengths) 🔴 Red: Bearish regimes (various strengths) 🟡 Yellow: Choppy/uncertain regime When "Highlight Historical VIX Matches" is enabled: Scroll back through your chart and you'll see colored backgrounds highlighting every period when VIX matched today's level. The color tells you whether that match led to gains (green) or losses (red). This provides instant visual pattern recognition - you can quickly see if similar VIX levels historically led to bullish or bearish outcomes. Practical Example: If you see that most historical periods with similar VIX levels are highlighted in green, it suggests the current VIX level has historically been a bullish signal for your asset. How The Indicator Makes Decisions The regime classification uses both magnitude AND probability to avoid false signals: Example of Strong Classification: Average 5-day return: +1.5% Win rate: 65% Result: STRONG BULLISH (both high return and high probability) Example of Weak Signal: Average 5-day return: +2.0% Win rate: 35% Result: CHOPPY (high average but low consistency = unreliable) This dual-factor approach ensures the indicator doesn't mislead you with regimes that had a few huge winners but mostly losers, or vice versa. Best Practices Combine with your existing strategy: Use this as a regime filter rather than standalone signals Check sample size: More historical matches = more reliable statistics Consider multiple timeframes: If 5-day and 20-day metrics disagree, proceed with caution Asset-specific tuning: Different assets may require different tolerance settings VIX spikes: The indicator is particularly useful during VIX spikes to understand if panic is justified What Makes This Different Unlike simple VIX indicators that just plot the fear index, this tool: Quantifies the actual impact of VIX levels on YOUR specific asset Provides probability-based forecasts rather than subjective interpretation Shows historical context visually so you can see patterns at a glance Uses rigorous statistical criteria to avoid false regime classifications
Indicador Pine Script®
por CIVolatility
VIX/VVIX Spike RiskVIX/VVIX Spike Risk Analyzer The VIX/VVIX Spike Risk Analyzer analyzes historical VIX behavior under similar market conditions to forecast future VIX spike risk. By combining current VIX and VVIX levels as dual filters, it identifies historical precedents and calculates the probability and magnitude of VIX spikes over the next 1, 5, and 10 trading days. IMPORTANT: This indicator must be applied to the VIX chart (CBOE:VIX) to function correctly. Methodology 1. Dual-Filter Pattern Matching The indicator uses both VIX and VVIX as simultaneous filters to identify historically analogous market conditions: By requiring BOTH metrics to match historical levels, the indicator creates more precise market condition filters than using VIX alone. This dual-filter approach significantly improves predictive accuracy because: VIX alone might be at 15, but VVIX can tell us if that 15 is stable (low VVIX) or explosive (high VVIX) High VVIX + Low VIX often precedes major spikes Low VVIX + Low VIX suggests sustained calm 2. Tolerance Settings VIX Matching (Default: ±10% Relative) Uses relative percentage matching for consistency across different VIX regimes Example: VIX at 15 matches 13.5-16.5 (±10%) Can switch to absolute tolerance (±5 points) if preferred VVIX Matching (Default: ±10 Points Absolute) Uses absolute point matching as VVIX scales differently Example: VVIX at 100 matches 90-110 Can switch to relative percentage if preferred 3. Historical Analysis Window The indicator scans up to 500 bars backward (limited by VVIX data availability) to find all historical periods where both VIX and VVIX were at similar levels. Each match becomes a "sample" for statistical analysis. 4. Forward-Looking Spike Analysis For each historical match, the indicator measures VIX behavior over the next 1, 5, and 10 days Display Metrics Explained Average Highest Spike Shows the average of the maximum VIX spikes observed. Highest Single Spike Shows the single largest spike ever recorded Probability No 10% Spike Shows what percentage of historical cases stayed BELOW a 10% spike: Probability No 20% Spike Shows what percentage of historical cases stayed BELOW a 20% spike: Note : You'll see many more shaded bars than the sample count because each match creates up to 5 consecutive shaded bars (bars 1-5 after the match all "look back" and see it). Short Volatility Strategies: Enter when there's a LOW probability of big vol spikes based on today's metrics Long Volatility Strategies Enter when there's a HIGH probability of big vol spikes based on today's metrics
Indicador Pine Script®
por CIVolatility
Combined Signal + Auto Day Plan + Volume🧠 Combined Signal + Auto Day Plan + Volume Version: Pine Script v5 Category: Strategy / Signal & Levels Tool Author: (you can add your TradingView nickname) 📋 Overview The Combined Signal + Auto Day Plan + Volume indicator merges multiple professional trading concepts into one visual tool — helping traders identify momentum shifts, entry zones, and daily trading plans with volume confirmation. It automatically detects trend direction, generates dynamic take-profit & stop-loss levels, and overlays key daily reference points such as VWAP, pivot, support, and resistance zones based on ATR and trend context. ⚙️ Main Components 1️⃣ Signal System Detects trend bias using SMA-based logic. Generates entry price, TP1–TP3, and SL dynamically from recent impulse ranges. Updates signals automatically when trend bias changes or previous targets are hit. Visual levels are drawn directly on the chart. 2️⃣ Volume Analysis Compares current volume against a moving average (SMA). Classifies volume as: 🟢 Strong (above 1.5× average) 🟡 Average 🔴 Weak (below 0.8× average) Displays the current volume strength and trend bias in an on-chart table. 3️⃣ Auto Day Plan Uses multi-timeframe ATR calculations to define: Support / Resistance zones Pivot & Balance areas Daily VWAP Auto Targets (ATR-based expansion levels) Adapts automatically to selected base timeframe (1H, 4H, or Daily). 4️⃣ Trend Context Dual EMA system (50 & 200) to confirm bullish/bearish structure. Aligns expected direction with VWAP & pivot location for context-aware bias. 🎯 What You Get on Chart 📈 Automatic LONG/SHORT signals 🎯 TP1, TP2, TP3, and SL levels 📊 Volume strength meter 🧭 VWAP, pivot, support/resistance & balance zones 🎨 Clean visual layout for intraday and swing traders 🧩 Inputs Parameter Description lenImpulse Impulse range length smaLen SMA length for trend bias levelRatio SL/TP ratio multiplier volLen Volume SMA length baseTF Base timeframe for zones/VWAP atrMult1 / atrMult2 ATR multipliers for target levels fwdBars Extension range for future projection 💡 How to Use Add the script to your chart and choose your preferred timeframe. Observe signal direction (📈 LONG / 📉 SHORT) and TP/SL levels. Confirm entries when: Trend aligns with VWAP direction, and Volume category shows Strong or Average. Use Auto Day Plan levels (pivot, balance, VWAP) as intraday reaction zones.
Indicador Pine Script®
por Bonavivitalik
1
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems. Summary This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady. Understanding Rate Futures Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors. This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change. How to Use Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates. The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation. Technical Note While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
Indicador Pine Script®
por Kanefire
Nqaba Probable High/Low{Larry Method}The Probable High/Low indicator is an advanced tool inspired by Larry R. Williams’ original projection formulas. It calculates probable daily highs and lows based on the prior day’s open, high, low, and close, allowing traders to anticipate key intraday price levels with precision. This version provides full control over visibility, styling, and historical analysis — making it both educational and powerful for active traders.
Indicador Pine Script®
por NqabaNhantsi
1
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy) Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients. Summary in one paragraph A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick. Scope and intent Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities. Timeframes: calculation daily by default, trade on any chart. Default demo: SPY on Daily. Purpose: convert broad financial conditions into clear swing bias and exits. Originality and usefulness Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates. Failure mode addressed: false starts in chop and early shorts during easy liquidity. Testability: all knobs are inputs and the table shows components and weights. Portable yardstick: z scores center at zero so thresholds transfer across symbols. Method overview in plain language Base measures Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes. Components EQ US and EQ GLB measure equity tone. CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score. RATES2Y uses two year yield, sign flipped. SLOPE uses ten minus two year yield spread. USD uses DXY, sign flipped. VOL uses VIX, sign flipped. LIQ uses BIL over SPY, sign flipped. Each component is smoothed by the composite EMA. Fusion rule Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one. Signal rule Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor. Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter. Long exit on cross down of the long exit line or on a fresh short signal. Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard. What you will see on the chart Markers on suggestion bars: L for long, S for short, LX and SX for exits. Reference lines at zero and soft regime bands at plus one and minus one. Optional background gradient by regime intensity. Compact table with component z, weight percent, and composite readout. Table fields and quick reading guide Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ. Z: current standardized value, green for positive risk tone where applicable. Weight: contribution percent after normalization. Composite: current index value. Reading tip: a broadly green Z column with slope positive often precedes better long context. Inputs with guidance Setup Calc timeframe: default Daily. Leave blank to inherit chart. Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns. EMA smoothing: 1 to 200. Higher smooths noise and delays signals. Normalization Winsorize z at ±3: caps extremes to reduce one off shocks. Return window for equities: 5 to 260. Shorter reacts faster. Weighting Weight lookback: 20 to 520. Weight mode: Equal or InvVol. InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more. Signals Trade side: Long Short or Both. Entry threshold long and short: portable z thresholds. Exit line long and short: soft exits that give back less. Slope lookback bars: 1 to 20. Always long floor bfci ≥ X: macro easy mode keep long. Force short exit when bfci < Y: macro stress guard. Confirm Use price trend filter and Price SMA length. View Glow line and Show component table. Symbols SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed. Realism and responsible publication No performance claims. Past is not future. Shapes can move intrabar and settle on close. Execution is on standard candles only. Honest limitations and failure modes Major economic releases and illiquid sessions can break assumptions. Very quiet regimes reduce contrast. Use longer windows or higher thresholds. Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly. Strategy notice Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies. Entries and exits Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor. Short rule: bfci cross below short threshold with negative slope and optional price filter. Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard. Position sizing Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital Commisions We used a 0.05% comission and 5 tick slippage Legal Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Estratégia Pine Script®
por exlux
8x Heikin Ashi Streak (1m) by Bitcoin Benito🧭 Indicator Description: “8x Heikin Ashi Streak (1m) by Bitcoin Benito” **Purpose:** The *8x Heikin Ashi Streak* indicator helps traders quickly identify strong short-term momentum on the **1-minute timeframe**. It automatically tracks Heikin Ashi candles and alerts you whenever **8 consecutive bullish or bearish candles** appear — a visual cue that a strong intraday trend or exhaustion point might be forming. --- 🔍 **How It Works** * The indicator continuously counts Heikin Ashi candles in real-time. * When it detects **8 bullish (green)** or **8 bearish (red)** candles in a row: * A green ▲ marker appears **below** the 8th candle for bullish streaks. * A red ▼ marker appears **above** the 8th candle for bearish streaks. * You can set alerts to automatically notify you when these streaks occur. This makes it ideal for **momentum traders**, **scalpers**, and **trend-reversal spotters** who want to: * Catch strong intraday moves early. * Identify potential overextension zones before pullbacks. * Automate alert signals for short-term trading setups. IMPORTANT: Only trade when most of the 8 candles are below/above the EMA 8 Line respectively. Add an EMA 8 indicator to see if this is the case --- ⚙️ **How to Use** 1. **Apply to a 1-minute chart** (this script is optimized for 1m timeframes). 2. When the indicator plots a green or red triangle: * **Green triangle (8 bullish candles):** Trend momentum is strong upward. * **Red triangle (8 bearish candles):** Downward momentum is dominant. 3. Optionally, combine with volume or EMA filters to confirm breakouts or exhaustion. --- 🔔 **Setting Up Alerts** * Click the **Alert (🔔)** icon on TradingView. * Under *Condition*, select: * “8x Heikin Ashi Streak (1m)” → “8 Bullish Heikin Ashi (1m)” * OR “8x Heikin Ashi Streak (1m)” → “8 Bearish Heikin Ashi (1m)” * Choose **Once per bar close** to trigger the alert when the 8th candle completes. * Add your custom message, e.g. > “🚀 8 bullish Heikin Ashi candles in a row on 1-minute chart!” > “🔻 8 bearish Heikin Ashi candles in a row on 1-minute chart!” --- 📊 **Best Practices** * Works best on **liquid assets** (major forex pairs, indices, BTC/USD, etc.). * Pair with **RSI**, **EMA**, or **Volume** indicators for stronger confirmation. * Not a standalone buy/sell signal — treat it as a **momentum or exhaustion alert**. * Can be adapted to other timeframes by changing chart resolution. --- ⚠️ **Disclaimer** This indicator is for **educational and analytical purposes only**. Trading carries risk — always test on demo accounts and use proper risk management. No indicator guarantees profit; this is a tool for insight and timing, not financial advice.
Indicador Pine Script®
por rememberit1
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning Auto-adapt to timeframe Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily). • On = recommended. • Off = fixed default lengths. Minimum Bin (minutes) The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size. • Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history. • Try: 5–15 on intraday, 60–240 on higher TFs. Lookback windows (used when Auto-adapt = ON) Target ER Window (minutes) How far back we look to judge Efficiency Ratio (how “straight” the move was). • Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive. • Try: 60–120 min intraday; 240–600 min for higher TFs. Target ATR Window (minutes) How far back we compute ATR (typical range). • Higher = steadier ATR baseline. • Lower = reacts faster. • Try: 30–120 min intraday; 240–600 min higher TFs. Target Normalization Window (minutes) How far back for the average ATR (the baseline we compare to). • Higher = stricter “above average range” check. • Lower = easier to pass. • Try: ~500–1500 min. What counts as “movement” ER Threshold (0–1) Minimum efficiency a bar must have to count as movement. • Higher = only very “clean, one-direction” bars count. • Lower = more bars count. • Try: 0.55–0.65. (0.60 = balanced.) ATR Floor vs SMA(ATR) Requires range to be at least this many × average ATR. • Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges. • Try: 1.0 (above average). How history is averaged Recent Days Weight (per-day decay) Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less. • Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade. • Try: 0.97–0.99. Laplace Prior Seen / Laplace Prior Hit “Starter counts” so early stats aren’t crazy when you have little data. • Higher priors = probabilities start closer to average; need more real data to move. • Try: Seen=3, Hit=1 (defaults). Min Samples (effective) Don’t highlight a slot unless it has at least this many effective samples (after decay + priors). • Higher = safer, but fewer highlights early. • Try: 3–10. When to highlight on the chart Min Probability to Highlight We shade/mark bars only if their slot’s historical movement probability is ≥ this. • Higher = pickier, fewer highlights. • Lower = more highlights. • Try: 0.45–0.60. Show Markers on Good Bins Draws a small square on bars that fall in a “good” slot (in addition to the soft background). Limit to market hours (optional) Restrict to Session + Session Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone. • Turn on if you only care about RTH. Range (chop) alerts Range START if ER ≤ Triggers range when efficiency drops below this level (price starts zig-zagging). • Higher = easier to call “range”. • Lower = stricter. Range START if ATR ≤ this × SMA(ATR) Also triggers range when ATR shrinks below this fraction of its average (volatility contraction). • Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range. Alerts on bar close If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier). Quick “what happens if I change X?” Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9). Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2). Want recent days to matter more? ↑ Recent Days Weight toward 0.99. On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
Indicador Pine Script®
por hfdavid
EMA Crosses with Independent Fading Background1. Overall Purpose The script is an EMA crossover indicator with the following features: Calculates four EMA pairs: 5/13, 21/50, 20/200, 50/200. Plots optional EMA lines. Shows fading background highlights for bullish/bearish crosses. Places labels at the points of crossover. Provides a price source input, so EMAs can be based on close, hl2, ohlc4, etc. 2. Strengths Flexible inputs: Users can change EMA lengths, choose a price source, enable/disable plots, adjust background highlight duration and fade. Independent fading: Each EMA pair has its own counter for background highlights, preventing overlaps from canceling each other. Clear labeling: Crosses are labeled distinctly with different colors. Overlay: Works directly on the chart with overlay=true.
Indicador Pine Script®
por coachyrod