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Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description Purpose This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context. Data Sources All fundamentals are pulled from TradingView’s financial dataset using: request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on) Where: "FQ" = Quarterly frequency barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available) Financial fields used: FREE_CASH_FLOW (FCF) ENTERPRISE_VALUE (EV) TOTAL_SHARES_OUTSTANDING DILUTED_SHARES_OUTSTANDING Market cap is derived (not pulled directly in this version): marketCap = totalSharesOutstanding * close (Only used as a reference in the script; the yield itself is based on EV.) Core Calculation 1) FCF Yield (Net) The base yield is: FCF Yield ( % ) = FCF Enterprise Value × 100 FCF Yield(%)= Enterprise Value FCF ​ ×100 Implementation detail: If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors. Dilution Adjustment (Optional Series) 2) Dilution Ratio The script estimates dilution impact using: dilutionRatio = Total Shares Outstanding Diluted Shares Outstanding dilutionRatio= Diluted Shares Outstanding Total Shares Outstanding ​ Notes: If dilutedSharesOutstanding is missing or zero, the ratio becomes na. 3) Diluted FCF Yield If the ratio indicates dilution (<= 1), yield is scaled down: FCF Yield Diluted = FCF Yield × dilutionRatio FCF Yield Diluted=FCF Yield×dilutionRatio Else (ratio > 1 or na), the script defaults to the net yield: FCF Yield Diluted = FCF Yield FCF Yield Diluted=FCF Yield Practical interpretation: More dilution → lower ratio → lower diluted yield. If dilution fields are not reliable for a ticker, the script falls back to the base yield. Plotting Two series are shown: FCF Yield Net: plotted as columns (bars) FCF Yield Diluted: plotted as an area overlay This makes it easy to see: Step changes when new quarter data arrives Whether dilution meaningfully reduces the yield Labels (Per-bar) When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level. Important technical point: Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting: str.tostring(fcfYieldDiluted / 100, format.percent) Rolling History & Averages 1) Rolling storage The script maintains a rolling array of the most recent 40 quarterly values: 40 quarters ≈ 10 years Each time a non-NA quarterly yield appears: It pushes it into the array If array length exceeds 40, it removes the oldest value 2) Trailing averages (quarter windows) Averages are computed over the most recent N quarters: 1Q (latest quarter value) 4Q ≈ 1 year 8Q ≈ 2 years 20Q ≈ 5 years 40Q ≈ 10 years If fewer than N values exist, that average is na. End-of-chart Summary Label On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above. Placement logic The label is positioned slightly to the right of the current bar: Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future. frequencyUnit is computed as: frequencyUnit ≈ Seconds in 12 months Seconds per chart bar ÷ 4 frequencyUnit≈ Seconds per chart bar Seconds in 12 months ​ ÷4 This is only for visual spacing, not calculation correctness. Limitations / Notes The yield series is “step-like” and updates only when new quarterly fundamentals are available. For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield. EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
Pine Script® インジケーター
mfeldyrizaの投稿
Crash Prevention OpenSource by exp3rtsOpen Source Version - no updates! Crash Prevention OpenSource by exp3rts – Automated Exit Strategy for TradingView This indicator allows you to automatically close positions based on dynamic price levels derived from the previous candle with a configurable offset. Perfect for risk management and automated “hard stop” exits. Key Features: Flexible Exit Directions: Choose to trigger exits for Long, Short, or Both directions. Dynamic Exit Levels: Lines are automatically calculated above/below the previous candle plus/minus a user-defined offset in points. Visual Cues: Clear arrows indicate the exact bar where price touched the exit line. Session-Independent: Works on any chart and timeframe without manual adjustments. Webhook Alerts: Sends JSON alerts on touch, enabling integration with external systems or bots. Auto-Close Logic: Ensures positions are closed immediately when the threshold is breached, keeping trades in check. How it works: For Long exits, the line is drawn below the previous bar’s low minus the offset. For Short exits, the line is drawn above the previous bar’s high plus the offset. When price crosses the line, the position is closed, an arrow is plotted on the chart, and an alert is fired. Ideal for traders who want strict stop management or automated exit conditions while keeping visual clarity on the chart.
Pine Script® インジケーター
exp3rtsの投稿
156D EMA 5 Crossover ScanWhen the price crosses and closes above the 5 EMA on a 156-day time frame, it indicates a bullish turnaround. A buy can be initiated at the closing price of the bullish turnaround candle, with a stop-loss set at the low of the entry candle on a closing basis within the same 156-day time frame. This indicator signals a long-term bullish trend and is best suited for positional trades and investments with a minimum time horizon of 3–5 years.
Pine Script® インジケーター
prmdojhaの投稿
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals with S/A/B/C grade classification - Automatically detects asset type and applies optimized QQE factors - Integrates SMC price zones (support/resistance) for grade enhancement - Filters signals by trading session time - Displays real-time session and market status Grade Hierarchy: - S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality - A (Green/Red): Score 70+ during trading hours - High quality - B (Darker): Score 50-69 during trading hours - Medium quality - C (Gray, small): Outside trading hours or weak signal - Low quality ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【QQE Core Calculation】 The QQE (Quantitative Qualitative Estimation) is calculated as: 1. RSI with configurable period (default: 14) 2. EMA smoothing of RSI (Smoothing Factor: 5) 3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor) QQE Factor is auto-adjusted per asset: - USD/JPY: 4.238 - EUR/USD: 3.8 - Gold (XAU/USD): 8.0 - NASDAQ/US100: 9.0 【Signal Generation】 - BUY: QQE line crosses above its trailing stop (QQExlong == 1) - SELL: QQE line crosses below its trailing stop (QQExshort == 1) 【Internal Scoring System】 Score components (0-100): - Signal Base: +25 points when signal occurs - QQE Strength: +10 to +20 based on RSI distance from 50 - Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility) - Volume Confirmation: +10 (high volume), -5 (low volume) - Session Bonus: +5 during London/NY sessions - Base: +20 points 【Grade Assignment】 - Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours - Grade A: Internal score >= 70 AND during trading hours - Grade B: Internal score >= 50 AND during trading hours - Grade C: Outside trading hours OR score < 50 【SMC Price Zone Integration】 Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels. 【Trading Session Filter】 Configurable active trading hours (JST timezone): - Default: 15:00 - 01:00 JST (London + NY overlap) - Signals outside this window receive C-grade ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H - Best on: USD/JPY, EUR/USD, Gold, NASDAQ - Focus on: S and A grade signals 【Trading Strategy】 - S-Grade (Gold/Orange): Highest conviction - consider larger position - A-Grade (Green/Red): Strong signal - standard position - B-Grade: Valid but use additional confirmation - C-Grade: Avoid or use minimal size 【Setting Up SMC Zones】 1. Identify key support/resistance on higher timeframe 2. Input prices in SMC Price Settings 3. Adjust tolerance % (default: 0.15%) 4. S-grade appears when signal occurs near these levels 【Info Panel】 Top-right panel shows: - Asset name and detection mode (Auto/Manual) - Current session (Tokyo/London/NY) - Trading hours status - SMC zone proximity 【Alert Setup】 1. Enable alerts in settings 2. Create alert with "Any alert() function call" 3. Alerts include grade, price, and session info ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS Basic Settings: - Enable Alerts: Turn on/off notifications - Time Filter: Activate trading hour filter - Start/End Hour: Define active trading window (JST) QQE Settings: - RSI Period: RSI calculation period - RSI Smoothing: EMA smoothing factor - Auto QQE Factor: Auto-detect optimal factor per asset - Manual QQE Factor: Override when auto is disabled SMC Price Settings: - Support/Resistance levels for each asset - Tolerance %: How close to SMC line for S-grade Display Settings: - Grade Only: Hide QQE lines, show only signals - Show SMC Lines: Display support/resistance on chart - Show Debug: Display asset detection info ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS QQE concept originally developed by John Ehlers. SMC (Smart Money Concepts) integration and grading system by EduVest. License: Mozilla Public License 2.0
Pine Script® インジケーター
EduVest_doroの投稿
Trading Sessions - BluePipsWhat the indicator does A TradingView Pine Script indicator that overlays trading sessions on intraday charts and tracks session highs/lows. Main features Three trading sessions (all times in CST/CDT): Asian Session: 7:00 PM - 12:00 AM (19:00-00:00) London Session: 1:00 AM - 6:00 AM (01:00-06:00) New York Session: 7:00 AM - 1:00 PM (07:00-13:00) Visual elements (toggleable): Colored boxes: highlight each active session Session labels: show session name, price range, and average price Open/Close lines: dashed lines at session open and close prices Average price line: dotted line showing the average price during the session High/Low lines: solid lines showing the session high and low High/Low labels: "AH" (Asian High), "AL" (Asian Low), "LH" (London High), "LL" (London Low), "NH" (New York High), "NL" (New York Low) Behavior: During a session: box expands, lines extend, high/low update in real time After a session ends: box and open/close lines are removed; high/low lines remain visible as reference levels Daily reset: all elements are cleaned up at the start of each new day Use cases Identify session boundaries and overlaps Track session highs/lows as support/resistance Analyze price action during specific trading hours Monitor session ranges and averages Technical details Works only on intraday timeframes (errors on daily/weekly/monthly) Handles daylight saving time automatically via IANA timezones Properly cleans up visual elements to prevent memory leaks All times are in Central Standard Time (CST/CDT) Useful for traders who want to see session-based price levels and ranges directly on their charts.
Pine Script® インジケーター
YourDisciplinedTraderの投稿
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled “trend lanes” around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1–L4), with higher tiers sourced from higher timeframes to show local structure → higher-timeframe structure on a single chart. ──────────────────────────────────────── 1. What it does (plain English) ──────────────────────────────────────── Think of each tier as a lane system around the trend: • Inner rails = “normal volatility lane” around the WMA • Outer rails = “extension / extreme zone” for that tier • Higher tiers (L3/L4) show bigger structure • Lower tiers (L1/L2) show active lane behavior Typical interpretation: • Price inside inner rails → normal variance around the trend lane • Between inner and outer → stretched, but not extreme • Outside outer rails → extended vs that tier’s volatility band ──────────────────────────────────────── 2) Why it’s useful (and why it’s not a mashup) ──────────────────────────────────────── This is not a bundle of unrelated indicators. Everything serves one cohesive purpose: • Visualize trend + volatility lanes across multiple time horizons • Keep rails consistent and readable (levels, fills, outlines) • Optional multi-timeframe aggregation for structure context • A compact 6-alert set to catch key transitions without alert spam ──────────────────────────────────────── 3) What you see on the chart ──────────────────────────────────────── For each level (L1–L4), you can show: • Upper/Lower Inner rails • Upper/Lower Outer rails • Optional center fill (between outer rails) = operating range • Optional MA line per tier (off by default to reduce clutter) • Base WMA line (L1 MA) if enabled Suggested workflow: • Start with L1 + L2 only • Add L3/L4 once you like the structure view • Use Dynamic Opacity if the chart feels crowded ──────────────────────────────────────── 4) How it works (transparent formula) ──────────────────────────────────────── For each tier: • MA = WMA(source, baseLen × levelMultiplier) • ATR_like = Wilder ATR (default) OR WMA(TrueRange, atrLen × levelMultiplier) Inner rails: • upperInner = MA + ATR_like × innerMult • lowerInner = MA - ATR_like × innerMult Outer rails: • upperOuter = MA + ATR_like × outerMult • lowerOuter = MA - ATR_like × outerMult Tier behavior: • L1 uses the chart timeframe • L2–L4 can use user-selected HTFs (defaults: 4H / D / W) or optional auto-selection ──────────────────────────────────────── 5) Multi-timeframe behavior + interpolation ──────────────────────────────────────── • L2–L4 use request.security() with lookahead OFF (no future data). • HTF bands naturally “step” when the HTF candle confirms. • Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction. Repaint note: • If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior. ──────────────────────────────────────── 6) Auto-select L2/L3/L4 (optional) ──────────────────────────────────────── Two modes: A) Ladder (deterministic) • Picks “bigger” timeframes relative to the chart (simple and fast). B) Score (data-driven) • Tests candidate timeframes and scores them using: • Coverage: % of closes inside the OUTER band over Score Lookback • Width: average outer-band width as a fraction of MA • Targets: Target Coverage + Target Width • Weights: Coverage Weight + Width Weight Performance notes: • Score mode is heavier (many candidates). • “Lock auto-select after first pick” is recommended to reduce load and avoid platform limits. ──────────────────────────────────────── 7) Alerts (6 total, aggregated across L1–L4) ──────────────────────────────────────── Alerts trigger if ANY tier meets the condition: • Cross ABOVE an OUTER band • Cross BELOW an OUTER band • Cross ABOVE an INNER band • Cross BELOW an INNER band • Price is OUTSIDE ABOVE an OUTER band • Price is OUTSIDE BELOW an OUTER band These are intentionally aggregated to keep the alert count small while catching meaningful transitions. ──────────────────────────────────────── 8) Limitations & transparency ──────────────────────────────────────── • Indicator only (not a strategy). No performance claims. • MTF values update when the higher timeframe candle confirms. • Interpolation is visual smoothing; it does not forecast. • Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles. • If you enable repainting options, signals/levels may change intrabar. ──────────────────────────────────────── 9) Credits/reuse disclosure ──────────────────────────────────────── • Conceptual inspiration: VDUB and the community “VDUB_BINARY_PRO_3_V2” idea of WMA ± TR/ATR × multipliers. • This version is a reimplementation + extension, adding: o Multi-tier architecture (L1–L4) o Higher-timeframe sourcing + optional interpolation o Optional scoring-based timeframe selection o Dynamic opacity + streamlined plotting o Aggregated 6-alert set No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure. www.tradingview.com
Pine Script® インジケーター
actempletの投稿
DTG Open Range Breakout Description: Overview The Open Range Breakout (ORB) is one of the most statistically significant strategies for day traders, particularly in Futures (ES/NQ) and Forex markets. This indicator automates the process of identifying the "Opening Range" (e.g., the first 30 minutes of the New York session) and visualizing the key High/Low levels that define the day's bias. Unlike standard indicators that clutter the chart, this tool focuses on Price Action context. It highlights the critical volatility window and alerts you only when price makes a definitive move outside of this established range. Key Features Fully Customizable Session: Defaults to 09:30–10:00 (ET), but can be adjusted for any market (London Open, Tokyo Open, etc.). Visual "No-Trade" Zone: Draws a shaded box representing the range formation period. This helps traders avoid "choppy" price action during the initial volatility. Auto-Reset: The script automatically detects a new trading day and resets the range, keeping your chart clean without manual intervention. Dynamic Support/Resistance: Once the range is closed, the High and Low lines extend forward, acting as key support or resistance levels for the rest of the session. Smart Alerts: Alerts are programmed to trigger only after the range has fully formed, preventing false signals during the volatility establishment phase. Reversals: If price breaks out but immediately fails and re-enters the box, consider this a "Fakeout" and look for a move to the opposite side. Settings Open Range Session: The specific time window to measure (Format: HHMM-HHMM). Range Box Color: Visual preference for the shaded area. Extend High/Low Lines: Toggle the dashed projection lines on/off. DON.TRADES.GOLD@GMAIL.COM Disclaimer This script is for educational and analytical purposes only. Past performance of a breakout strategy does not guarantee future results. Always manage risk.
Pine Script® インジケーター
don_chandの投稿
Trap Longs - Hamza NaveedTrap Longs – Hamza Naveed is an advanced Open Interest–based indicator that analyzes net longs, net shorts, delta, and ratio across multiple exchanges (Binance, BitMEX, Kraken). It visualizes institutional positioning using candles, lines, or columns, with optional VWMA/EMA smoothing, RSI strength, volume heatmaps, statistical tables, and divergence detection. Designed to identify traps, absorption, and exhaustion, this tool helps traders understand positioning shifts, liquidity behavior, and potential trend reversals beyond price action alone.
Pine Script® インジケーター
aghahamza831の投稿
1
Macro Risk Sentiment - Intermarket Timing SignalOverview This indicator builds a composite macro sentiment score by analyzing intermarket relationships between bonds, credit spreads, the US dollar, and volatility. The core premise is that these markets often signal shifts in risk appetite before equities react, providing a timing edge for managing exposure. When macro conditions favor risk assets, the indicator signals RISK-ON (green). When conditions deteriorate, it signals RISK-OFF (red). This is not a predictive tool but rather a systematic way to assess the current macro environment. The Problem It Solves Markets do not move in isolation. Before major equity drawdowns, stress often appears first in credit markets, bonds, and volatility. By monitoring these leading indicators systematically, we can identify periods when holding equity exposure carries elevated risk. The goal is not to catch every move but to avoid the worst drawdowns by stepping aside when multiple macro factors align negatively. How It Works Step 1: Data Collection The indicator pulls daily data from four key markets: Risk-On Inputs (positive for equities when rising): - TLT (20+ Year Treasury Bonds): Rising bonds can signal improving liquidity or flight-to-safety ending - JNK (High-Yield Corporate Bonds): Rising junk bonds indicate credit conditions improving and risk appetite increasing Risk-Off Inputs (negative for equities when rising): - DXY (US Dollar Index): Strong dollar tightens global financial conditions and signals risk-off flows - VIX (Volatility Index): Elevated VIX indicates fear and hedging demand Step 2: Z-Score Normalization Each input trades at different absolute levels, so direct comparison is impossible. The indicator converts each to a z-score: how many standard deviations the current value is from its 252-day (1 year) average. A z-score of +1 means "unusually high relative to recent history." A z-score of -1 means "unusually low." This puts all inputs on the same scale. Step 3: Composite Calculation The macro score combines the normalized inputs: Macro Score = (TLT z-score + JNK z-score) - (DXY z-score + VIX z-score) The result is clamped between -1.5 and +1.5 to prevent outliers from dominating, then smoothed with an EMA to reduce noise. Step 4: Signal Generation Seven different methods are available for determining when conditions shift: 1. EMA Cross: Classic crossover between smoothed macro and its signal line 2. Slope: Simple direction of the macro trend 3. Momentum: Rate of change exceeding a threshold 4. Session Delta: Comparing today's reading to yesterday's 5. Pivot: Market structure analysis (higher lows vs lower highs) 6. Acceleration: Second derivative (is momentum increasing?) 7. Multi-Confirm: Requires 4 or more methods to agree Why These Specific Markets? Bonds (TLT) Treasury bonds often lead equities at turning points. When institutions rotate into bonds, it signals caution. When they rotate out, it signals risk appetite returning. Credit (JNK) High-yield bonds price credit risk faster than equities. Widening credit spreads (falling JNK) often precede equity weakness by days or weeks. Dollar (DXY) A strong dollar creates headwinds for multinational earnings, tightens global USD liquidity, and signals defensive positioning globally. Volatility (VIX) The options market prices fear before it manifests in price. Sustained elevated VIX readings indicate hedging demand and uncertainty. Research Application: Weekly Put Selling One application of this indicator is timing premium-selling strategies. I tested using the EMA Cross method to filter 7-day-to-expiration (7DTE) put sales on ES futures with 90% Profit Target and 600% Stop Loss, only selling puts when the indicator showed RISK-ON. Results with Macro Filter (2020-2025): - Trades: 200 - Win Rate: 96.0% - Total P/L: +$33,636 - Max Drawdown: 2.91% - Profit Factor: 3.51 Results without Filter (same period): - Trades: 357 - Win Rate: 96.1% - Total P/L: +$63,492 - Max Drawdown: 10.30% - Profit Factor: 2.90 Key Insight: The filtered approach made less total profit (fewer trades) but reduced maximum drawdown by 72% (from 10.30% to 2.91%). This significantly improves risk-adjusted returns and allows for potentially higher position sizing with confidence. Note: These results are from external backtesting on actual options data, not the TradingView backtest engine. Past performance does not guarantee future results. Features Seven configurable signal methods for different trading styles Adjustable weights for each data source Z-score normalization puts all inputs on equal footing Visual info table showing all metrics at a glance Background coloring for quick regime identification Alert conditions for signal changes Secondary plot showing method-specific metrics Settings Guide Macro Settings Z-Score Lookback (default 252): Period for calculating standard deviations. 252 equals approximately one trading year. Longer periods are more stable but slower to adapt. Macro EMA (default 7): Smoothing for the raw composite score. Lower values give faster but noisier signals. Signal EMA (default 8): Secondary smoothing for the signal line. Used primarily in EMA Cross method. Signal Method EMA Cross : Recommended starting point. Signals when smoothed macro crosses its signal line. Slope : Simpler approach based purely on trend direction. Momentum : Requires rate of change to exceed a threshold. Session Delta : Compares today to yesterday (daily timeframe focus). Pivot : Uses market structure (higher lows for bullish, lower highs for bearish). Acceleration : Measures change in slope (second derivative). Multi-Confirm : Conservative approach requiring 4+ methods to agree. Data Sources Each source can be enabled/disabled and weighted from 0 to 3 Default is equal weighting (1.0) for all four sources Experiment with emphasizing sources most relevant to your trading (tested on SPX) How to Use Basic Interpretation: Green background / RISK-ON: Macro conditions favor equity exposure Red background / RISK-OFF: Macro conditions suggest caution Arrow markers indicate regime changes For Risk Management: Use RISK-OFF signals to reduce position size or hedge Use RISK-ON signals to resume normal exposure Consider the indicator as one input among many, not a complete system For Options Strategies: Avoid selling premium during RISK-OFF periods Resume premium selling when RISK-ON returns This approach trades frequency for reduced tail risk Alert Setup: Set alerts on "Bullish Turn" and "Bearish Turn" conditions Receive notifications when the macro regime changes Research Ideas This indicator is designed as a research framework. Consider testing: Different signal methods for your specific strategy Adding or removing data sources based on what you trade Varying the z-score lookback for different market regimes Combining with price-based filters (moving averages, support/resistance) Using the multi-confirm method for higher-conviction signals only Limitations The indicator uses daily data, so intraday signals may lag Overnight gaps from surprise news cannot be anticipated False signals will occur, especially in choppy, range-bound markets The z-score lookback creates a recency bias; what was "normal" a year ago may not be relevant today Not all drawdowns are preceded by macro deterioration; some come from idiosyncratic events Past intermarket relationships may not persist in the future Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. Past performance does not guarantee future results The research results shared are from historical backtesting and may not reflect actual trading conditions Always conduct your own research and due diligence Consider your personal risk tolerance before making any trading decisions Never risk more than you can afford to lose Credits Intermarket analysis concepts draw from established macro trading principles. The multi-signal approach is original work designed to give users flexibility in how they interpret the macro data.
Pine Script® インジケーター
luiscaballeroの投稿
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average - Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY) - Auto-detects asset type and applies optimized parameters for each instrument - Displays real-time session information and volatility status - Provides alert functionality with customizable cooldown periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Core Logic: ATR Trailing Stop】 The indicator calculates an ATR-based trailing stop using the formula: Trailing Stop = Price ± (Sensitivity × ATR) When price is above the trailing stop and rising, the stop trails below price. When price is below the trailing stop and falling, the stop trails above price. 【Signal Generation】 - BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop - SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop 【Session-Based Sensitivity Adjustment】 The indicator adjusts ATR sensitivity based on trading session (JST timezone): - Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets - London (15:00-23:00): Base sensitivity - moderate volatility - New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility 【Dynamic ATR Adjustment】 When enabled, the indicator compares current ATR to its smoothed average: - ATR Ratio = Current ATR / SMA(ATR, smoothing period) - Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio)) This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response). 【Auto Asset Detection】 The indicator automatically detects the traded instrument and applies optimized parameters: - Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8 - Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3 - Volatile pairs (GBPUSD): Base sensitivity 2.8 - Commodities (GOLD/XAUUSD): Base sensitivity 3.5 - Indices (NASDAQ/NAS100): Base sensitivity 4.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15 minutes or higher (15M, 1H, 4H recommended) - Best performance on: Forex majors, Gold, NASDAQ - Enable "Auto Asset Detection" for optimized parameters 【Entry Rules】 - BUY: Enter long when green BUY label appears - SELL: Enter short when pink SELL label appears 【Session Panel】 The top-right panel displays: - Current trading session (Tokyo/London/NY) - Volatility status (High Chance/Medium Chance/Caution) - Mode (AUTO/MANUAL) 【Alert Setup】 1. Enable "Viewer Alert Display" in settings 2. Set cooldown period (default: 15 minutes) to avoid signal spam 3. Create alert with "Any alert() function call" condition 【Important Notes】 - This indicator does not repaint - signals are confirmed at bar close - Lower timeframes (1M, 5M) may generate excessive signals - Always use proper risk management and confirm with other analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS OVERVIEW 🎯 Alert Settings - Viewer Alert Display: Enable/disable alert labels - Cooldown Function: Prevent rapid consecutive signals - Cooldown Time: Minutes between alerts (5-60) 🔧 Dynamic ATR Settings - Enable Dynamic ATR: Auto-adjust based on volatility - ATR Period: Calculation period (default: 14) - ATR Smoothing: Smoothing period for ratio calculation - Volatility Sensitivity: How much to adjust (0.1-1.0) 🕐 Session ATR Adjustment - Enable Time Adjustment: Session-based sensitivity - Show Session Info: Display session panel 📊 Asset Settings - Auto Asset Detection: Automatically optimize for instrument - Manual settings available when auto-detection is disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Based on the original UT Bot concept by QuantNomad. Enhanced with session-based adaptation and auto-asset detection by EduVest. License: Mozilla Public License 2.0
Pine Script® インジケーター
EduVest_doroの投稿
The Cantillon Liquidity Trap [SFP] - PRORetail traders chase breakouts. Institutions engineer traps." The Problem: How often do you see price break a key High/Low, trigger your stop loss, and then immediately reverse in the other direction? This is not bad luck. This is a Liquidity Grab (Swing Failure Pattern). Institutions need your stop orders to fill their large positions. Once they are filled, the market reverses. How This Tool Helps: The Cantillon Liquidity Trap automatically detects these manipulation points in real-time. It does not just look for "wicks"—it uses a strict institutional algorithm to identify: Major Pivot Points: (Where the stops are hiding). The Sweep: (The stop run). The Failure: (Price closing back inside the range). Volume Confirmation: (Smart money absorption). The Signals: 🟥 TRAP (Bearish): A Swing High was swept, but buyers failed to hold. Look for Shorts. 🟩 GRAB (Bullish): A Swing Low was swept, but sellers were absorbed. Look for Longs. 🚀 How to Trade This (The Strategy): This tool provides the "WHEN" (The Trigger). To get the highest win rate, you must combine it with the "WHERE" (The Level). Optimum Setup: Wait for a "TRAP" signal that aligns perfectly with a Volume Shelf or AVWAP. When "Time" (SFP) meets "Location" (Cantillon Level), you have an A+ Institutional Setup. This is optimized for 4H, but feel free to play with it. 👇 Works best together with my "the cantillon overlay" signature below.
Pine Script® インジケーター
Thecantillonreportの投稿
1
Pullback Master ProPullback Master Pro - Scalping & Swing Trading Indicator Perfect for both scalping and swing trading: For Scalpers (1-5 min charts): Quick pullback signals with fast EMA response Real-time RSI/volume confirmation for rapid entries Clean signals for fast in/out decisions For Swing Traders (1H-4H charts): Multi-timeframe trend filtering for higher accuracy Deep pullback detection for better risk/reward Sustained momentum signals for longer holds Core Features: Pullback detection with customizable depth Multi-timeframe trend alignment RSI + Volume + EMA confluence Adjustable signal display (opacity, position, size) Always-visible 3×6 data table Multiple themes and customization options One indicator for all timeframes - works equally well for quick scalps and strategic swing trades by adjusting the settings.
Pine Script® インジケーター
CareExtendedの投稿