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RS Rating (1-99)RS Rating This indicator implements a Relative Strength (RS) rating for TradingView and is designed specifically to be used with the Pine Screener. Concept Relative Strength is calculated using weighted price performance over multiple time windows (approximately 3, 6, 9, and 12 months). More recent performance is weighted more heavily, following well-established relative strength methodologies. The resulting raw RS score is then compressed into a 1–99 scale, creating an intuitive and stable ranking metric. Because TradingView scripts cannot rank a stock against the entire market universe, this indicator uses a behavioral proxy: the current RS score is mapped against its own historical distribution. This produces RS values that behave similarly to widely used RS ratings, but it is not a true cross-sectional percentile rank. IPO handling RS Rating is not displayed until sufficient price history exists (default: ~9 months / 189 bars). This avoids distorted RS values for newly listed stocks. IPOs are better evaluated using separate momentum, volume, or structure-based tools until they mature. Interpretation (rule of thumb) - RS ≥ 80 → strong relative performance - RS ≥ 90 → leader - RS ≥ 95 → very selective / top-tier - RS Rating is best used as a ranking and confirmation tool, not as an entry signal. Using RS Rating with TradingView Pine Screener This indicator is designed to work directly with the TradingView Pine Screener (beta). Setup - Add the indicator to a chart - Open Pine Screener - Select this script as a filter source - Use the plotted RS Rating (1–99) value for sorting or filtering The screener reads the single plotted RS value and treats it as a sortable numeric column. Typical screening workflows Leader scan Filter: RS Rating ≥ 90 Sort: Descending by RS Rating Identifies stocks with sustained relative outperformance. Broad strength scan Filter: RS Rating ≥ 80 Useful for identifying emerging leaders or strong secondary names. Top-of-universe view No filter Sort: Descending by RS Rating Shows the strongest names within the selected universe. Important notes on Pine Screener (beta) The Pine Screener currently displays a limited number of results (approximately 100). Symbols may be pre-sampled before filtering. For larger universes, consider: - splitting symbols to be scanned into multiple watchlists Best practices Use RS Rating to rank and prioritize candidates, not to time entries. Combine RS with: - price structure, - volume behavior, - overall market regime. RS is most effective when used as part of a multi-factor screening process.
Indicador Pine Script®
por kulturdesken
1
Volatility Squeeze Pro [JOAT] Volatility Squeeze Pro — Advanced Volatility Compression Analysis System This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis. Why This Combination Provides Unique Analytical Value Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches: 1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average 2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges 3. **Directional Momentum**: Measures where price sits within its recent range The problem with using these individually: - Standard deviation alone doesn't account for intraday volatility - ATR alone doesn't consider closing price clustering - Momentum alone doesn't provide volatility context - No single measurement captures the complete volatility picture This indicator's originality lies in creating a comprehensive volatility analysis system that: **Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup **Provides Momentum Context**: Shows directional bias during compression periods **Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system **Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types Technical Innovation and Originality While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in: 1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system 2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods 3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction 4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration How the Components Work Together Analytically The three components create a comprehensive volatility analysis framework: **Standard Deviation Component**: Measures closing price dispersion around the mean float bbBasis = ta.sma(close, bbLength) float bbDev = bbMult * ta.stdev(close, bbLength) float bbUpper = bbBasis + bbDev float bbLower = bbBasis - bbDev **ATR Channel Component**: Measures actual trading range volatility float kcBasis = ta.ema(close, kcLength) float kcRange = ta.atr(atrLength) float kcUpper = kcBasis + kcRange * kcMult float kcLower = kcBasis - kcRange * kcMult **Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper // This condition indicates closing prices are clustering more tightly // than the typical trading range would suggest **Momentum Context Component**: Provides directional bias during compression float highestHigh = ta.highest(high, momLength) float lowestLow = ta.lowest(low, momLength) float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0) float momSmooth = ta.sma(momentum, smoothLength) The analytical relationship creates a system where: - Squeeze detection identifies WHEN volatility compression occurs - Momentum analysis shows WHERE price is positioned during compression - Combined analysis provides both timing and directional context How the Volatility Comparison Works The indicator compares two volatility measurements: Standard Deviation Bands These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract. // Standard deviation bands calculation float bbBasis = ta.sma(close, bbLength) float bbDev = bbMult * ta.stdev(close, bbLength) float bbUpper = bbBasis + bbDev float bbLower = bbBasis - bbDev ATR-Based Channels These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion. // ATR-based channels calculation float kcBasis = ta.ema(close, kcLength) float kcRange = ta.atr(atrLength) float kcUpper = kcBasis + kcRange * kcMult float kcLower = kcBasis - kcRange * kcMult The Squeeze Condition A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels: // Squeeze detection bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper This condition indicates that closing price volatility has compressed relative to the overall trading range. The Momentum Component The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing: // Momentum calculation float highestHigh = ta.highest(high, momLength) float lowestLow = ta.lowest(low, momLength) float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0) float momSmooth = ta.sma(momentum, smoothLength) Positive values indicate price is above the midpoint of its recent range; negative values indicate below. Why Display Both Together The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information: 1. Is volatility currently compressed? (squeeze status) 2. Where is price leaning within the current range? (momentum) These are observations about current conditions, not predictions about future movement. Visual Elements Momentum Histogram — Bars showing momentum value - Green shades: Positive momentum (price above range midpoint) - Red shades: Negative momentum (price below range midpoint) - Brighter colors: Momentum increasing - Faded colors: Momentum decreasing Squeeze Dots — Circles on the zero line - Red: Squeeze condition active - Green: No squeeze condition Release Markers — Triangle markers when squeeze condition ends Dashboard — Current readings and status Color Scheme Squeeze Active — #FF5252 (red) No Squeeze — #4CAF50 (green) Momentum Positive — #00E676 / #81C784 (green shades) Momentum Negative — #FF5252 / #E57373 (red shades) Inputs Standard Deviation Bands: Length (default: 20) Multiplier (default: 2.0) ATR Channels: Length (default: 20) Multiplier (default: 1.5) ATR Period (default: 10) Momentum: Length (default: 12) Smoothing (default: 3) How to Read the Display Red dots indicate the squeeze condition is present Green dots indicate normal volatility relationship Histogram direction shows current momentum bias Histogram color brightness shows whether momentum is increasing or decreasing Alerts Squeeze condition started Squeeze condition ended Squeeze ended with positive momentum Squeeze ended with negative momentum Extended squeeze (8+ bars) Important Limitations and Realistic Expectations Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements Many compression periods do not result in significant price expansion or directional moves Momentum direction during compression does not reliably indicate future breakout direction This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility False signals are common—not every squeeze leads to tradeable price movement Different parameter settings will produce different compression detection sensitivity Market conditions, news events, and fundamental factors often override technical volatility patterns No volatility indicator can predict the timing, direction, or magnitude of future price movements This tool should be used as one component of comprehensive market analysis Appropriate Use Cases This indicator is designed for: - Volatility state analysis and monitoring - Educational study of volatility relationships - Multi-dimensional volatility assessment - Supplementary analysis alongside other technical tools - Understanding market compression/expansion cycles This indicator is NOT designed for: - Standalone trading signal generation - Guaranteed breakout prediction - Automated trading system triggers - Market timing precision - Replacement of fundamental analysis Understanding Volatility Analysis Limitations Volatility analysis, while useful for understanding market conditions, has inherent limitations: - Past volatility patterns do not guarantee future patterns - Compression periods can extend much longer than expected - Expansion periods may be brief and insufficient for trading - External factors (news, fundamentals) often override technical patterns - Different markets and timeframes exhibit different volatility characteristics — Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Volatility Shield ProConcept: Volatility Shield Pro is a multi-dimensional execution engine designed to filter high-probability entries by triangulating Trend, Institutional Volume, and Statistical Exhaustion. Why this is original: Unlike standard indicators that look at price in a vacuum, this uses a Volume-Weighted ATR (VWATR) to distinguish between retail noise and institutional "Strikes." It integrates an ADR (Average Daily Range) Fuel gauge to prevent entries into exhausted moves, solving the common problem of buying the "top" of a trend. Components & Logic: Institutional Strike Engine: Uses VWATR normalized against a 50-period SMA to find momentum backed by volume. ADR Fuel Gauge: Calculated by comparing current price travel to the 10-day ADR. A "State" of EXHAUSTED is triggered at 120% to warn of mean reversion. HTF Anchor: A built-in Higher Time Frame EMA filter (default 4H) to ensure local trades align with the macro tide. Live EDGE Tracker: A real-time backtesting module that calculates the win rate of the "Strike" signals on the current chart history using a 1.5:1 Reward-to-Risk ratio. This combined tool addresses the three main reasons most trading systems fail by integrating higher-timeframe bias, daily range exhaustion, and volume confirmation into one framework: Fighting the Tide (HTF Ribbon): Keeps traders aligned with the dominant higher-timeframe trend to avoid counter-trend entries. Running Out of Gas (ADR Fuel): Measures a symbol’s average daily range to prevent chasing moves that have already reached their statistical limit. Ghost Volume (RVOL/VWATR): Filters out low-quality, retail-driven activity by requiring institutional-level volume spikes before taking trades. In essence, it combines trend alignment, range exhaustion detection, and real-volume filtering to eliminate the most common account-killing mistakes. The "Triple-Threat" Trade Setup This is the highest-probability setup the tool can produce. When these three things align, the "Edge" is at its peak: The Anchor: HTF Ribbon is Bright Green. The Local: Atlas Trend Bias is BULLISH and State is STRIKE. The Value: ADR Fuel is Low (40-60%), meaning the stock has massive room to move before hitting daily resistance.
Indicador Pine Script®
por Crypt0Curious
SCOTTGO - Float, Change %, Vol & RVol DataFloat, Vol & Short Data Dashboard Overview The Float, Vol & Short Data Dashboard is a professional-grade monitoring tool designed for equity traders who need to track supply, demand, and momentum in real-time. By aggregating float size, relative volume, and short-selling activity into a clean, customizable table, this script helps you identify high-conviction trade setups without cluttering your price chart. Key Metrics Included Float: (Shares) – Instantly see the available supply of shares to gauge potential volatility. Change %: (From close) – Tracks the percentage gain/loss since the previous day's closing price. Change %: (From open) – Monitors intraday strength by calculating the move from the 9:30 AM EST market open. Volume: – Displays current daily volume with automated formatting (K, M, B). RVOL: (Daily) – Relative Volume compared to a 10-day SMA; essential for spotting "volume-fueled" breakouts. Short %: (Approx.) – Calculates the daily Short Volume Ratio (Short Volume / Total Volume), providing a real-time proxy for short-seller sentiment. Professional Customization This script was built with a focus on UI/UX: Three-Row Header System: Features high-contrast main titles with muted-grey sub-titles for maximum readability. Smart Color Logic: Price changes automatically toggle between green and red, while RVol highlights in orange when activity exceeds 1.5x average. Adjustable Layout: Change the table position, text size, and background opacity. Column Spacing: Includes a custom slider to adjust the horizontal gap between data columns, ensuring the dashboard fits any screen resolution. How To Use Add the script to your chart and use the Settings menu to toggle metrics or adjust the Column Spacing to your preference. Ideal for day traders and swing traders monitoring US Equities where float and short volume data are most impactful.
Indicador Pine Script®
por SCOTTGO
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels DESCRIPTION: 📊 Overview This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes. 🎯 Purpose & Trading Application Day traders often need to quickly assess: 1. Current trend direction (using EMAs) 2. Key price levels where reversals or breakouts may occur This indicator solves both needs in one tool, reducing chart clutter from multiple indicators. 📈 How It Works TREND IDENTIFICATION (EMAs): - EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing - EMA 48 (Purple): Medium EMA for intraday trend direction - EMA 200 (Red): Slow EMA for overall trend bias Trading Logic: - When price is above all 3 EMAs = Strong bullish bias - When price is below all 3 EMAs = Strong bearish bias - EMA crossovers signal potential trend changes - The 13/48 crossover is particularly useful for intraday entries SUPPORT & RESISTANCE LEVELS: - Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones - 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels - Previous Week High/Low (Orange, Dotted): Major institutional levels Why These Levels Matter: Previous day and weekly highs/lows are watched by many traders and algorithms. Price often: - Reverses at these levels (support/resistance) - Accelerates through them (breakout trades) 🔧 How To Use FOR TREND TRADING: 1. Identify bias using EMA stack (all 3 aligned = strong trend) 2. Look for pullbacks to EMA 13 or 48 for entries 3. Use key levels as profit targets FOR REVERSAL TRADING: 1. Watch for price approaching previous day/week levels 2. Look for rejection candles at these levels 3. Use EMA 13 break as confirmation FOR BREAKOUT TRADING: 1. Identify consolidation near key levels 2. Enter on break of level with volume 3. Use opposite level as target ⚙️ Settings All parameters are fixed for simplicity: - EMAs: 13, 48, 200 periods - Levels: Previous Day, 2-Day, Previous Week - All lines thickness: 2 📝 Notes - Best used on intraday timeframes (1min to 1hour) - Levels update automatically each day/week - Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL) --- TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
Indicador Pine Script®
por A1TradingHub
Williams Volatility Channel (Full Range Breakout)Overview This indicator implements a volatility breakout system inspired by legendary trader Larry Williams. It plots daily breakout levels calculated as the previous day’s close ± the full previous day’s range (high – low). These levels act as extreme volatility expansion thresholds: - Upper Level: Previous close + previous day’s range - Lower Level: Previous close – previous day’s range A price move beyond these levels signals a strong directional breakout driven by expanded volatility — a classic Larry Williams concept for identifying potential trend continuation or acceleration days. This version uses the full prior range (multiplier = 1.0), making it more aggressive than Williams’ original examples (which often used smaller fractions like 0.25–0.5 × range). It is particularly useful on instruments with clear daily sessions and visible overnight gaps or volatility spikes. Key Features Daily breakout levels plotted as horizontal lines that update at the start of each new trading day. Optional semi-transparent fill between upper and lower levels for better visual channel perception. Subtle background shading on the first bar of each new day and new week for easier time orientation. Configurable colors and visibility toggles. Generic session duration input (informational only) to help estimate candles per day on non-standard markets (e.g., European indices ≈ 8.5h, US stocks ≈ 6.5h, crypto ≈ 24h). How to Use the Indicator Breakout Signals Bullish Breakout: Price closes or sustains above the Upper Level → potential strong upward momentum. Consider long entries or adding to existing longs. Bearish Breakout: Price closes or sustains below the Lower Level → potential strong downward momentum. Consider short entries or adding to existing shorts. These breakouts often occur on news events, earnings, or when the market “wakes up” after low-volatility periods. Trend Confirmation Use the direction of the breakout to confirm the prevailing trend: In an uptrend, focus primarily on upside breakouts. In a downtrend, focus primarily on downside breakouts. Breakouts against the trend can signal potential reversals (use with caution and additional confirmation). Support & Resistance Once price has broken a level, that level often flips role: A broken Upper Level can act as support on pullbacks. A broken Lower Level can act as resistance on bounces. Risk Management Place stops beyond the opposite level or use ATR-based stops. Consider partial profit-taking at 1× or 2× the prior day’s range from entry. Best Markets & Timeframes Works well on: Stock indices (DAX, FTSE MIB, CAC, S&P 500 futures, etc.) Individual stocks Commodities and futures with defined daily sessions Cryptocurrencies (adjust session hours to 24 for continuous markets) Recommended intraday timeframes: 5–60 minutes. On higher timeframes (4H, daily), the levels still appear but are less frequently tested intraday. Important Notes This is a trend-following / momentum tool, not a mean-reversion or gap-fading strategy (unlike Larry Williams’ famous “OOPS” pattern). False breakouts can occur in low-volatility or ranging markets — always use additional confluence (volume, trend filters, higher-timeframe context). The session duration input is informational and allows definition of how many candles per day should be used in the calculation. This indicator provides a clean, visually intuitive way to spot high-volatility breakout opportunities based on one of Larry Williams’ timeless volatility concepts. Add it to your charts and combine it with your existing trading system for enhanced entry timing on strong momentum days.
Indicador Pine Script®
por fpsantoro
enigmaMarkets move, but price remembers. Long before indicators flash signals or momentum shifts, price reacts to levels that were already there — quiet, patient, and unmoving. This tool reveals those levels. Fixed price intervals — the kind institutions respect, algorithms acknowledge, and charts quietly obey — are drawn automatically above and below current price. No predictions. No signals. Just structure. The levels don’t chase price. They wait for it. On their own, they are simple. Paired with time, context, and comparison, they become something else entirely. When price reaches a level in alignment with a larger cycle, reactions tend to be cleaner and more decisive. When related markets arrive at similar prices but disagree in direction, the divergence often tells a deeper story. And when those moments occur within broader macro conditions, the response is rarely random. Use these levels to observe reactions, pauses, rejections, and expansions. Use them to frame risk across sessions, instruments, and regimes. Use them to see how short-term movement fits inside a much larger narrative. Nothing here tells you when to trade. It only reveals where price matters — and when the market is paying attention. If you know, you know.
Indicador Pine Script®
por TpTrevy
Swing Trade System# Swing Trade Strategy - Complete Guide ## Overview This is a comprehensive swing trading indicator for TradingView that identifies high-probability trend continuation setups using multi-timeframe analysis, pullback patterns, and momentum confirmation. The strategy combines technical indicators with risk management tools to help traders capture swing moves with defined risk-reward parameters. ## What It Does The indicator identifies two types of signals: 1. **Base Signals** (small markers) - Initial setup detection with basic criteria met 2. **High Confidence (HC) Signals** (large markers) - Fully confirmed setups with all filters passed, including optional higher timeframe confirmation Once a HC signal triggers, the indicator automatically plots: - Dynamic stop loss levels (trailing, break-even, or static) - Partial take profit (TP1) at 1R - Final take profit (TP2) at your chosen risk-reward multiple - Real-time R-multiple tracking - Confluence dashboard showing all conditions ## How It Works ### Core Signal Logic The strategy identifies pullback-to-trend entries using this sequence: **For LONG signals:** 1. **Trend Filter**: Fast EMA (20) above Slow EMA (50) = uptrend confirmed 2. **Pullback**: Previous candle closed between the two EMAs (pulled back but didn't break structure) 3. **RSI Swing Zone**: RSI between 40-60 (not overbought/oversold, just resting) 4. **Reclaim**: Current candle crosses back above Fast EMA (momentum returning) 5. **Volume Spike** (optional): Current volume > 1.5x the 20-period average 6. **HTF Confirmation** (optional): Daily timeframe shows: price > 50 EMA, RSI > 50, and rising momentum **For SHORT signals:** The same logic applies in reverse (downtrend, pullback above fast EMA, reclaim below, etc.) ### Risk Management Features **Stop Loss Placement:** - Initial stop: Swing low/high over the last 10 bars - Can upgrade to ATR trailing stop (2x ATR below/above price) - Can move to break-even after reaching 1R profit **Take Profit Levels:** - TP1: 1R (optional partial exit point) - TP2: 2R default (adjustable to your preference) **Position Monitoring:** - Live R-multiple display shows current profit/loss in risk units - Dynamic stop updates visually on chart - Color-coded confidence score (0-100%) based on confluence of factors ## Best Way to Use These Signals ### 1. **Wait for High Confidence Signals Only** - Don't trade every base signal (small markers) - Only take trades when you see the large "HC L" or "HC S" markers - These have passed all your filters including higher timeframe alignment ### 2. **Ideal Entry Timing** **On the Signal Candle:** - Enter at market close when HC signal fires - This ensures all conditions were met by candle close - Your stop and targets are calculated from this close price **On the Next Candle (more conservative):** - Wait for the candle after the signal - Enter if price continues in the signal direction - Helps avoid false breakouts but may miss some moves ### 3. **Position Sizing** Use the automatic risk calculation: - Your risk = Entry price - Stop loss - Position size = (Account Risk %) ÷ (Entry - Stop) - Example: Risk $100 on account, Entry $50, Stop $48 = $100 ÷ $2 = 50 shares ### 4. **Trade Management** **Scaling Out:** - Exit 50% position at TP1 (1R) to lock profits - Move stop to break-even on remaining position - Let rest run to TP2 (2R) or trail with ATR stop **Manual Override:** - If price action deteriorates (breaks below both EMAs, RSI divergence), consider early exit - The dynamic stop is a guide, not gospel—trust price action ## Breakout vs. Retest Strategy ### Understanding Breakout Types **1. First Touch Breakout (Aggressive)** - HC signal fires on first touch of fast EMA after pullback - Higher win rate if volume is strong - Best in strongly trending markets - Risk: Could be a false breakout if momentum weak **2. Retest Entry (Conservative)** - Wait for price to pull back *again* after initial HC signal - Enter when price retests the fast EMA a second time - Look for: lower volume on retest, RSI still in swing zone, fast EMA still above slow EMA - Lower risk but may miss some fast moves ### Which Breakouts to Take **Take the FIRST breakout (signal candle) when:** - ✅ Higher timeframe is strongly aligned (HTF confirmation on) - ✅ Volume spike is present (>1.5x average) - ✅ Confidence score ≥70% - ✅ Trend is fresh (EMAs recently crossed, not extended) - ✅ Price closed strongly above/below fast EMA (not barely crossed) - ✅ No major resistance/support nearby **Wait for a RETEST when:** - ⚠️ No volume confirmation on first signal - ⚠️ Confidence score 40-69% (moderate) - ⚠️ Price barely crossed the fast EMA (weak momentum) - ⚠️ Trend is extended (price far from slow EMA) - ⚠️ Major resistance/support level just ahead - ⚠️ Late in the trading day/week (could see pullback) ### How to Trade Retests **Setup:** 1. HC signal fires but you decide to wait 2. Price pulls back toward fast EMA over next 1-3 candles 3. Watch for second bounce at the fast EMA **Confirmation for Retest Entry:** - Price holds above fast EMA (for longs) without closing below it - Volume decreases on the pullback (profit-taking, not reversal) - RSI stays above 50 for longs (or below 50 for shorts) - Bullish candlestick pattern forms (hammer, engulfing, etc.) - Slow EMA is still providing support/resistance **Retest Entry Trigger:** - Enter when price crosses back in signal direction with momentum - Or enter with a limit order at the fast EMA - Use same stop loss as original signal (swing low/high) - Targets remain the same (measured from your new entry) ## Dashboard Reference The top confluence table shows real-time status: - **Trend**: Current trend direction based on EMAs - **HTF**: Higher timeframe alignment (if enabled) - **RSI Zone**: Whether RSI is in the 40-60 swing zone - **Volume**: Volume spike present or not - **Signal**: Current signal status (HC LONG/SHORT or None) - **R Risk**: Current profit/loss in R-multiples - **Stop**: Current stop loss price - **TP1/TP2**: Status of take profit levels - **Conf %**: Overall confidence score (70%+ = high probability) ## Alert Setup The indicator includes 8 alert types: 1. **HC LONG/SHORT ENTRY** - Main trade signals 2. **LONG/SHORT TP1 Reached** - Partial profit alerts 3. **LONG/SHORT Final TP Reached** - Full target hit 4. **LONG/SHORT Stop Hit** - Exit alerts Set up alerts in TradingView: - Click "Create Alert" on the indicator - Choose the specific alert condition - Set to "Once Per Bar Close" to avoid false alerts - Configure notification method (app, email, webhook, etc.) ## Recommended Settings **For Stock Swing Trading (4H-Daily):** - Fast EMA: 20 | Slow EMA: 50 - Swing Lookback: 10 - RSI Zone: 40-60 - HTF: Daily (if trading 4H charts) - Risk-Reward: 2R minimum **For Crypto (faster moves):** - Fast EMA: 12 | Slow EMA: 26 - Swing Lookback: 7 - RSI Zone: 35-65 - Volume Spike: ON - Risk-Reward: 1.5-2R **For Conservative Trading:** - Enable HTF Confirmation - Enable Volume Spike requirement - Use Break-even stop (move after 1R) - Only trade when Confidence ≥70% - Wait for retests on marginal setups ## Risk Warning This indicator is a tool, not a guarantee. Always: - Use proper position sizing (risk 1-2% per trade) - Respect the stop losses - Consider market context (news, earnings, major levels) - Backtest on your instruments before live trading - Never override risk management for FOMO The best signals combine technical confluence with good market conditions and disciplined execution.
Indicador Pine Script®
por frankieho_92
Session Volume Analyzer [JOAT] Session Volume Analyzer — Global Trading Session and Volume Intelligence System This indicator addresses the analytical challenge of understanding market participation patterns across global trading sessions. It combines precise session detection with comprehensive volume analysis to provide insights into when and how different market participants are active. The tool recognizes that different trading sessions exhibit distinct characteristics in terms of participation, volatility, and volume patterns. Why This Combination Provides Unique Analytical Value Traditional session indicators typically only show time boundaries, while volume indicators show raw volume data without session context. This creates analytical gaps: 1. **Session Context Missing**: Volume spikes without session context provide incomplete information 2. **Participation Patterns Hidden**: Different sessions have different participant types (retail, institutional, algorithmic) 3. **Comparative Analysis Lacking**: No easy way to compare volume patterns across sessions 4. **Timing Intelligence Absent**: Understanding WHEN volume occurs is as important as HOW MUCH volume occurs This indicator's originality lies in creating an integrated session-volume analysis system that: **Provides Session-Aware Volume Analysis**: Volume data is contextualized within specific trading sessions **Enables Cross-Session Comparison**: Compare volume patterns between Asian, London, and New York sessions **Delivers Participation Intelligence**: Understand which sessions are showing above-normal participation **Offers Real-Time Session Tracking**: Know exactly which session is active and how current volume compares Technical Innovation and Originality While session detection and volume analysis exist separately, the innovation lies in: 1. **Integrated Session-Volume Architecture**: Simultaneous tracking of session boundaries and volume statistics creates comprehensive market participation analysis 2. **Multi-Session Volume Comparison System**: Real-time calculation and comparison of volume statistics across different global sessions 3. **Adaptive Volume Threshold Detection**: Automatic identification of above-average volume periods within session context 4. **Comprehensive Visual Integration**: Session backgrounds, volume highlights, and statistical dashboards provide complete market participation picture How Session Detection and Volume Analysis Work Together The integration creates a sophisticated market participation analysis system: **Session Detection Logic**: Uses Pine Script's time functions to identify active sessions // Session detection based on exchange time bool inAsian = not na(time(timeframe.period, asianSession)) bool inLondon = not na(time(timeframe.period, londonSession)) bool inNY = not na(time(timeframe.period, nySession)) // Session transition detection bool asianStart = inAsian and not inAsian bool londonStart = inLondon and not inLondon bool nyStart = inNY and not inNY **Volume Analysis Integration**: Volume statistics are calculated within session context // Session-specific volume accumulation if asianStart asianVol := 0.0 asianBars := 0 if inAsian asianVol += volume asianBars += 1 // Real-time session volume analysis float asianAvgVol = asianBars > 0 ? asianVol / asianBars : 0 **Relative Volume Assessment**: Current volume compared to session-specific averages float volMA = ta.sma(volume, volLength) float volRatio = volMA > 0 ? volume / volMA : 1 // Volume classification within session context bool isHighVol = volRatio >= 1.5 and volRatio < 2.5 bool isVeryHighVol = volRatio >= 2.5 This creates a system where volume analysis is always contextualized within the appropriate trading session, providing more meaningful insights than raw volume data alone. Comprehensive Session Analysis Framework **Default Session Definitions** (customizable based on broker timezone): - **Asian Session**: 1800-0300 (exchange time) - Represents Asian market participation including Tokyo, Hong Kong, Singapore - **London Session**: 0300-1200 (exchange time) - Represents European market participation - **New York Session**: 0800-1700 (exchange time) - Represents North American market participation **Session Overlap Analysis**: The system recognizes and highlights overlap periods: - **London/New York Overlap**: 0800-1200 - Typically the highest volume period - **Asian/London Overlap**: 0300-0300 (brief) - Transition period - **New York/Asian Overlap**: 1700-1800 (brief) - End of NY, start of Asian **Volume Intelligence Features**: 1. **Session-Specific Volume Accumulation**: Tracks total volume within each session 2. **Cross-Session Volume Comparison**: Compare current session volume to other sessions 3. **Relative Volume Detection**: Identify when current volume exceeds historical averages 4. **Participation Pattern Analysis**: Understand which sessions show consistent high/low participation Advanced Volume Analysis Methods **Relative Volume Calculation**: float volMA = ta.sma(volume, volLength) // Volume moving average float volRatio = volMA > 0 ? volume / volMA : 1 // Current vs average ratio // Multi-tier volume classification bool isNormalVol = volRatio < 1.5 bool isHighVol = volRatio >= 1.5 and volRatio < 2.5 bool isVeryHighVol = volRatio >= 2.5 bool isExtremeVol = volRatio >= 4.0 **Session Volume Tracking**: // Cumulative session volume with bar counting if londonStart londonVol := 0.0 londonBars := 0 if inLondon londonVol += volume londonBars += 1 // Average volume per bar calculation float londonAvgVol = londonBars > 0 ? londonVol / londonBars : 0 **Cross-Session Volume Comparison**: The system maintains running totals for each session, enabling real-time comparison of participation levels across different global markets. What the Display Shows Session Backgrounds — Colored backgrounds indicating which session is active - Pink: Asian session - Blue: London session - Green: New York session Session Open Lines — Horizontal lines at each session's opening price Session Markers — Labels (AS, LN, NY) when sessions begin Volume Highlights — Bar coloring when volume exceeds thresholds - Orange: High volume (1.5x+ average) - Red: Very high volume (2.5x+ average) Dashboard — Current session, cumulative volume, and averages Color Scheme Asian — #E91E63 (pink) London — #2196F3 (blue) New York — #4CAF50 (green) High Volume — #FF9800 (orange) Very High Volume — #F44336 (red) Inputs Session Times: Asian Session window (default: 1800-0300) London Session window (default: 0300-1200) New York Session window (default: 0800-1700) Volume Settings: Volume MA Length (default: 20) High Volume threshold (default: 1.5x) Very High Volume threshold (default: 2.5x) Visual Settings: Session colors (customizable) Show/hide backgrounds, lines, markers Background transparency How to Read the Display Background color shows which session is currently active Session open lines show where each session started Orange/red bars indicate above-average volume Dashboard shows cumulative volume for each session today Alerts Session opened (Asian, London, New York) High volume bar detected Very high volume bar detected Important Limitations and Realistic Expectations Session times are approximate and depend on your broker's server timezone—manual adjustment may be required for accuracy Volume data quality varies significantly by broker, instrument, and market type Cryptocurrency and some forex markets trade continuously, making traditional session boundaries less meaningful High volume indicates participation level only—it does not predict price direction or market outcomes Session participation patterns can change over time due to market structure evolution, holidays, and economic conditions This tool displays historical and current market participation data—it cannot predict future volume or price movements Volume spikes can occur for numerous reasons unrelated to directional price movement (news, algorithmic trading, etc.) Different instruments exhibit different session sensitivity and volume patterns Market holidays and special events can significantly alter normal session patterns Appropriate Use Cases This indicator is designed for: - Market participation pattern analysis - Session-based trading schedule planning - Volume context and comparison across sessions - Educational study of global market structure - Supplementary analysis for session-based strategies This indicator is NOT designed for: - Standalone trading signal generation - Volume-based price direction prediction - Automated trading system triggers - Guaranteed session pattern repetition - Replacement of fundamental or sentiment analysis Understanding Session Analysis Limitations Session analysis provides valuable context but has inherent limitations: - Session patterns can change due to economic conditions, holidays, and market structure evolution - Volume patterns may not repeat consistently across different market conditions - Global events can override normal session characteristics - Different asset classes respond differently to session boundaries - Technology and algorithmic trading continue to blur traditional session distinctions — Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
V-Max: Crypto Scaling & Professional Risk Calculator (Public EdiOverview The V-Max Crypto Scaling & Risk Calculator is a technical risk-management dashboard designed to automate the mathematics of trade execution. It serves as a "Physical Risk Engine," allowing traders to align their position sizing with objective market volatility rather than emotional impulse. This ensures that the dollar-risk per trade remains constant regardless of price volatility or leverage。 Core Technical Logic & Features This script focuses on the quantitative aspects of capital preservation: Quantitative Position Sizing Engine: Automatically calculates the precise trade quantity using the formula: $(Total Capital \times Risk \%) / SL Distance$. This keeps the loss exposure fixed for every trade。 Multi-Mode Volatility Stop-Loss: Provides three distinct algorithms for calculating risk boundaries: 3M Range: Based on short-term periodic price range averages。 ATR-Based: Utilizing the Average True Range for smoothed volatility assessment。 Structural Mode: Automatically identifying local swing highs/lows as defensive anchors。 Low-Volatility "Choke Zone" Monitor: The engine monitors current market range against a user-defined threshold. It provides a visual warning when the market enters a "Choke Zone," suggesting that the current volatility is too low for a favorable risk-reward ratio。 Real-time HUD Visualization: Renders a dynamic dashboard and on-chart execution lines (Entry & SL) for immediate tactical awareness。 How to Use Risk Setup: Enter your total trading capital and preferred risk percentage (e.g., 1.5%) in the settings。 Logic Selection: Select your desired SL source (Range, ATR, or Structural) based on the current market environment。 Execution: Use the calculated "Suggested Quantity" displayed on the dashboard to input into your exchange interface。 產品概述 V-Max 加密貨幣風控計算機 是一款技術性風險管理儀表板，旨在自動化執行紀律所需的複雜計算。它作為一個實時的「物理風險引擎」，幫助交易者將倉位規模與客觀的市場波動率掛鉤，而非憑情緒操作。 核心技術邏輯 定量倉位計算：引擎精確計算交易數量，確保每筆交易的美元風險始終保持恆定。 多模式波動率止損：提供三種不同邏輯（3M Range, ATR, 結構高低點）來計算風險邊界。 低波動「窒息區」監控：當市場進入波動極低的「窒息區」時發出警告，提醒交易者目前的風險報酬比統計上不利。 Access & Support This script is published as a Free Public Utility in the TradingView Library. Disclaimer: Past performance does not guarantee future results. This tool provides technical analysis only and does not offer financial advice.
Indicador Pine Script®
por VMaxWorkshop
Donchian Channel (Simple & Clear Version)Donchian Channel Indicator - Simple & Clear OVERVIEW The Donchian Channel is a powerful trend-following indicator that helps identify breakouts and potential trading opportunities. It consists of three lines based on the highest high and lowest low over a specified period. HOW IT WORKS • Upper Band (Green): The highest price over the last N periods • Lower Band (Red): The lowest price over the last N periods • Middle Line (Blue): The average of upper and lower bands TRADING SIGNALS 📈 Bullish Breakout: When price breaks above the upper band (green triangle) 📉 Bearish Breakout: When price breaks below the lower band (red triangle) SETTINGS • Period Length: Default is 20 (adjustable based on your trading timeframe) • Show Middle Line: Toggle on/off to display the middle line HOW TO USE 1. Upward breakouts suggest potential long entries 2. Downward breakouts suggest potential short entries 3. Price touching upper band = strong uptrend 4. Price touching lower band = strong downtrend 5. Use with other indicators for confirmation BEST PRACTICES ✓ Works well in trending markets ✓ Combine with volume analysis for better accuracy ✓ Consider using stop-loss below/above the opposite band ✓ Adjust period length: shorter for day trading (10-14), longer for swing trading (20-50) Perfect for traders looking for a clean, easy-to-understand breakout indicator!
Indicador Pine Script®
por ssun_6
V-Max Strategic Horizon: Cross-TF Coordinate Sync (Public EditioOverview The V-Max Strategic Horizon is a technical visualization utility designed to solve the problem of coordinate drift during multi-timeframe analysis. It serves as a "Physical Coordinate Anchor," ensuring that high-level resistance and support boundaries from macro timeframes (e.g., 1H, 4H, or 1D) remain strictly locked and visible even when the trader scales down to 1M or 3M execution charts. Core Technical Logic Timeframe Anchoring Engine: The script utilizes request.security with a fixed lookback_cnt to pull the absolute highest and lowest price points from a specified anchor timeframe. Absolute Coordinate Locking (Zero-Drift): Unlike manual horizontal lines that may become misaligned, this tool employs the line.new system with extend.both logic. This ensures the horizons are mathematically tied to the price scale, providing a consistent strategic reference across all chart resolutions. High-Speed Computational Logic: To prevent the "Script Timeout" errors common in multi-timeframe indicators, the v11.0 engine eliminates iterative loops, favoring vectorized calculations for real-time responsiveness. Dynamic Metadata Labeling: The script features an automated labeling system that dynamically identifies the source of the data (e.g., "1H Anchor") and displays the precise price coordinate, reducing cognitive load during high-frequency trading. How to Use Set Your Anchor: Choose your strategic timeframe (e.g., 1H for day trading, 1D for swing trading) in the settings. Define the Scan Range: Adjust the lookback count to determine the "strength" of the historical horizon. Execute with Context: Watch how the price interacts with the "Red" (Resistance) and "Green" (Support) horizons on your 3M chart to identify macro-rejections or breakouts. 產品概述 V-Max 戰略地平線 是一款解決多時框分析中座標位移問題的技術工具。它作為「物理座標錨點」，確保大週期（如 1H、4H 或 1D）的壓力與支撐邊界，在交易者切換至 1M 或 3M 執行圖表時，依然嚴格鎖定且清晰可見。 核心技術邏輯 時框錨定引擎：利用跨時框數據抓取技術，獲取指定基準時區的絕對價格極值。 絕對座標鎖定（零位移）：採用 line 渲染系統配合同步延伸邏輯，確保地平線在數學上與價格刻度綁定，提供一致的戰略參考。 極速運算邏輯：v11.0 引擎優化了跨時框數據處理，消除了複雜迴圈，確保在短線圖表上實現零延遲性能。 Access & Support This script is published as a Free Public Utility in the TradingView Library. Disclaimer: For technical analysis purposes only.
Indicador Pine Script®
por VMaxWorkshop
Stock Breakout (Liquidity + Breakout)//@version=5 indicator("Stock Breakout (Liquidity + Breakout)", overlay=true) // ===== Inputs ===== lenRange = input.int(20, "Consolidation Length") lenVol = input.int(20, "Volume MA") lenMFI = input.int(14, "MFI Length") // ===== Indicators ===== rangeHigh = ta.highest(high, lenRange) volMA = ta.sma(volume, lenVol) mfi = ta.mfi(hlc3, lenMFI) vwapLine = ta.vwap(close) // ===== Conditions ===== liquidityIn = mfi > 50 and volume > volMA priceBreak = close > rangeHigh aboveVWAP = close > vwapLine breakout = liquidityIn and priceBreak and aboveVWAP // ===== Plot ===== plotshape(breakout, title="BREAKOUT", style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), text="") plot(vwapLine, color=color.orange, linewidth=2, title="VWAP")
Indicador Pine Script®
por joroh812
Stochastic RSI (adjustable fast line color)Definition The Stochastic RSI indicator (Stoch RSI) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions. History The Stochastic RSI (Stoch RSI) indicator was developed by Tushard Chande and Stanley Kroll. They introduced their indicator in their 1994 book The New Technical Trader. Calculation In this example, a very common 14 Period Stoch RSI is used. Stoch RSI = (RSI - Lowest Low RSI) / (Highest High RSI - Lowest Low RSI) Here are some approximate benchmark levels: 14 Day Stoch RSI = 1 when RSI is at its highest level in 14 Days. 14 Day Stoch RSI = .8 when RSI is near the high of its 14 Day high/low range. 14 Day Stoch RSI = .5 when RSI is in the middle of its 14 Day high/low range. 14 Day Stoch RSI = .2 when RSI is near the low of its 14 Day high/low range. 14 Day Stoch RSI = 0 when RSI is at its lowest level in 14 Days. The basics It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions. What to look for Overbought/Oversold Overbought and Oversold conditions are traditionally different than the RSI. While RSI overbought and oversold conditions are traditionally set at 70 for overbought and 30 for oversold, Stoch RSI are typically .80 and .20 respectively. When using the Stoch RSI, overbought and oversold work best when trading along with the underlying trend. During an uptrend, look for oversold conditions for points of entry. During a downtrend, look for overbought conditions for points of entry. Summary When using Stoch RSI in technical analysis, a trader should be careful. By adding the Stochastic calculation to RSI, speed is greatly increased. This can generate many more signals and therefore more bad signals as well as the good ones. Stoch RSI needs to be combined with additional tools or indicators in order to be at its most effective. Using trend lines or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch RSI's accuracy. Using Stoch RSI to make trades that go against the underlying trend is a dangerous proposition. Inputs K The time period to be used in calculating the %K. 3 is the default. D % D = Percent of Deviation between price and the average of previous prices (Momentum). The time period to be used in calculating the %D. 3 is the default. RSI Length The time period to be used in calculating the RSI Stochastic Length The time period to be used in calculating the Stochastic RSI Source Determines what data from each bar will be used in calculations. Close is the default.
Indicador Pine Script®
por cpolaritz2
Pivot & ORB Zones with Labels & Alerts//@version=5 indicator("Pivot & ORB Zones with Labels & Alerts", overlay=true, max_boxes_count=500) // ───── Input Settings ───── orbMinutes = input.int(15, "ORB Minutes") showPD = input.bool(true, "Show Previous Day Zone") showPM = input.bool(true, "Show Previous Month Zone") showORB = input.bool(true, "Show ORB Zone") // ───── Previous Day High / Low ───── pdh = request.security(syminfo.tickerid, "D", high ) pdl = request.security(syminfo.tickerid, "D", low ) var box pdBox = na if showPD box.delete(pdBox) pdBox := box.new(left=bar_index-100, right=bar_index, top=pdh, bottom=pdl, bgcolor=color.new(color.red, 80), border_color=color.red) label.new(bar_index, pdh, "PDH", color=color.red, style=label.style_label_down, textcolor=color.white) label.new(bar_index, pdl, "PDL", color=color.green, style=label.style_label_up, textcolor=color.white) // ───── Previous Month High / Low ───── pmh = request.security(syminfo.tickerid, "M", high ) pml = request.security(syminfo.tickerid, "M", low ) var box pmBox = na if showPM box.delete(pmBox) pmBox := box.new(left=bar_index-100, right=bar_index, top=pmh, bottom=pml, bgcolor=color.new(color.orange, 80), border_color=color.orange) label.new(bar_index, pmh, "PMH", color=color.orange, style=label.style_label_down, textcolor=color.white) label.new(bar_index, pml, "PML", color=color.blue, style=label.style_label_up, textcolor=color.white) // ───── ORB (Opening Range Breakout) ───── var float orbHigh = na var float orbLow = na var box orbBox = na var bool orbAlertHighTriggered = false var bool orbAlertLowTriggered = false sessionStart = timestamp("GMT+0", year, month, dayofmonth, hour, minute) inORB = (timenow - sessionStart) <= orbMinutes * 60000 if inORB orbHigh := na(orbHigh) ? high : math.max(orbHigh, high) orbLow := na(orbLow) ? low : math.min(orbLow, low) else if not na(orbHigh) and showORB box.delete(orbBox) orbBox := box.new(left=bar_index - orbMinutes, right=bar_index, top=orbHigh, bottom=orbLow, bgcolor=color.new(color.yellow, 70), border_color=color.yellow) label.new(bar_index, orbHigh, "ORB High", color=color.yellow, style=label.style_label_down, textcolor=color.black) label.new(bar_index, orbLow, "ORB Low", color=color.yellow, style=label.style_label_up, textcolor=color.black) orbHigh := na orbLow := na orbAlertHighTriggered := false orbAlertLowTriggered := false // ───── Alerts ───── alertcondition(close >= pdh, title="Price hit PDH", message="Price touched PDH") alertcondition(close <= pdl, title="Price hit PDL", message="Price touched PDL") alertcondition(close >= pmh, title="Price hit PMH", message="Price touched PMH") alertcondition(close <= pml, title="Price hit PML", message="Price touched PML") alertcondition(showORB and not orbAlertHighTriggered and close >= orbHigh, title="Price hit ORB High", message="Price touched ORB High") alertcondition(showORB and not orbAlertLowTriggered and close <= orbLow, title="Price hit ORB Low", message="Price touched ORB Low") // Reset ORB alert triggers each session if inORB == false orbAlertHighTriggered := false orbAlertLowTriggered := false
Indicador Pine Script®
por HappyTrades11
Verified Astro-Table SimplifiedThis script, titled the **Financial Astrological Ephemeris Table**, is designed to be a high-precision astronomical dashboard for TradingView. Unlike standard indicators that rely on price formulas, this script serves as a **digital bridge** between professional Swiss Ephemeris data and your trading chart. Here is a detailed breakdown of what the script provides and how to maximize its utility. --- **1. What the Script Provides** **A. 100% Ephemeris Synchronization** Most "Astro" indicators in TradingView use "mean motion" math, which drifts over time. This script uses **Static Switch Logic**. By hard-coding the data from the Swiss Ephemeris, the script ensures that the degrees you see on your chart match the physical reality of the sky. * **Sun & Moon**: Accurate to the degree for the current period. * **Saturn & Outer Planets**: Corrects the "sign drift" found in other scripts, keeping Saturn in its true position (late Pisces for 2025). **B. Sign & Degree Tracking** The script translates raw longitude (0–360°) into the traditional 12-sign zodiac format (`Sign` + `Degree`). This allows you to immediately identify where planets are transiting relative to key price levels. **C. The Sun-Relative House System** The script calculates an **Equal House System** based on the Sun's current position. * This treats the Sun as the "Rising" point for the day's dashboard, showing you how other planets are "angled" relative to the Sun's current solar light. **D. Stability and Performance** Because the script uses `barstate.islast`, it only calculates for the most recent candle. This prevents "Runtime Errors" and ensures your TradingView platform remains fast and responsive, even on low-powered laptops. --- **2. How to Use it Effectively** **A. Identifying Confluence with Price** Watch for "Degree Hits." If the table shows **Saturn at 25° Pisces** and your asset is hitting a major resistance level at a number ending in **25** (or a harmonic like 2.50), it signifies a moment of "Astro-Price Confluence." These are often high-probability reversal points. **B. Customizing the Visual Experience** You can tailor the dashboard to your specific chart layout via the **Settings (Gear Icon)**: * **Position**: Move the table to any corner (Top Right, Bottom Left, etc.) so it doesn't block your price action. * **Transparency**: Adjust the "Background Color" to make the table more subtle or more prominent. * **Text Size**: If you trade on a mobile device, set the text to "Normal." If you use a 4K monitor, set it to "Tiny" to save space. **C. Managing the "Switch" Data** To keep the script accurate for the long term, I will update the `get_pdf_lon` block once a month (or once a year) with the new coordinates from the Swiss Ephemeris. **D. Directional Trading (The "Dir" Column)** The script includes a "Direction" column. Use this to track if a planet is **Direct (D)** or **Retrograde (Rx)**. **Strategy**: If a planet is listed as "D," its influence is considered "forward-moving" and predictable. If you update the code to show "Rx," expect the market sectors associated with that planet to experience "re-evaluations" or delays. --- ### Summary of Benefits for the User 1. **Eliminates Guesswork**: You no longer have to flip between an Ephemeris and TradingView; the data is on your screen. 2. **Historical Analysis**: You can manually change the data in the script to a historical date to see exactly how the "Astro-Weather" looked during a previous market crash or rally.
Indicador Pine Script®
por Patiently_Pippin_
FPT - Harami FPT – Harami (Wick Included) is a clean and minimalist candlestick pattern indicator that highlights Harami reversal formations using full candle ranges (wicks included). This version follows a strict and objective definition of Harami by requiring the entire range of the second candle (high–low) to be fully contained within the range of the first candle. 🔹 Patterns Detected Bullish Harami First candle: Bearish Second candle: Bullish Second candle’s high and low are completely inside the first candle’s range Bearish Harami First candle: Bullish Second candle: Bearish Second candle’s high and low are completely inside the first candle’s range Only the pattern-forming candle (second candle) is highlighted to keep the chart clean and focused. 🎨 Customization Highlight Bullish, Bearish, or Both Harami patterns Separate and fully customizable colors for bullish and bearish patterns via Inputs → Colors Style tab colors are intentionally not used 🎯 Design Philosophy No indicators No filters No assumptions about trend or volatility This tool is designed for traders who prefer pure price action and want to identify Harami patterns in combination with: Key levels Support & resistance Market structure Session-based or discretionary analysis ⚠️ This indicator is for visual analysis only and does not provide trade signals. Always apply proper risk management.
Indicador Pine Script®
por erendev