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ECG PRICE - mauricioofsousa📉 ECG PRICE – The Price Electrocardiogram (explained for traders, scientists, and complete beginners) 🔍 1. WHAT IS THE ECG PRICE? The ECG PRICE protocol is a market-reading system based on the RSI, but with a surgical twist: 👉 You don’t just calculate RSI from price. 👉 You adjust the price using the RSI, and then calculate RSI over this adjusted price. This creates a filtered, amplified signal that behaves like a heart monitor for price, detecting micro-impulses and subtle market movements long before they show up in the standard RSI. 🧬 2. CORE IDEA Just like a real ECG amplifies and reveals electrical rhythms hidden inside the heartbeat, the ECG PRICE amplifies micro-deformations hidden inside the price’s momentum. It works in three stages: Compute the regular RSI Use the RSI to adjust the price (creating an electrocardiographic price) Compute a second RSI over this modified price The result is a meta-derived oscillator—more sensitive, more precise, and better at detecting structural changes. 🧩 3. TECHNICAL BREAKDOWN 3.1. First RSI (classic) The script calculates: average gains average losses relative strength (RS) and then the standard 0–100 RSI This is the “normal heart rate monitor” everyone uses. 3.2. Creating the “Adjusted Price” adjustedPrice = close * (rsi / 100) This means: ➡️ When RSI is high (strong buying momentum), price is amplified. ➡️ When RSI is low (strong selling momentum), price is compressed. This converts raw price into a bio-electrical signal, where the price itself is modulated by its own internal momentum. It’s the financial equivalent of ECG gain adjustment. 3.3. RSI of the Adjusted Price Now the script calculates a new RSI from this modified price. That is the actual ECG PRICE. This second-order oscillator becomes extremely sensitive to: micro-momentum shifts early trend fading volatility shocks micro-divergences institutional pressure waves It reads the electrical pattern behind the price rather than the superficial movement. 🟩🟥 4. Diagnostic Lines of the Protocol 35 (green dotted) Pre-oversold fatigue zone. 65 (red dotted) Pre-overbought exhaustion zone. 30 (white solid) Classic oversold. 70 (white solid) Classic overbought. Together they create two diagnostic corridors: 1. Medical corridor (30–70): Standard RSI clinical range. 2. Electrical corridor (35–65): The ECG-sensitive zone where micro-shifts appear first. 🧠 5. In Engineering Language (MGO style) The ECG PRICE is essentially: A nonlinear second-order oscillator where the RSI feeds back into price, creating a recursive momentum-modulated signal. It functions like a: bioinformational modulator feedback-driven wave processor impulse amplifier micro-PID sensitivity enhancer Very similar to the informational-wave transformations inside the MGO pipeline. 👨‍⚕️📉 6. Explained for a Total Beginner Imagine the price is a heart. The normal RSI shows if the heart is beating fast or slow. But the ECG PRICE takes that heartbeat… feeds it back into the heart… and then measures the new heartbeat. This creates a much more sensitive exam that detects problems before the normal test would. 💡 7. What It Gives You in Practice earlier reversal signals better trend-fatigue detection clearer micro-divergences a clean RSI with reduced noise a smoother momentum curve advanced behavioral readings before breakouts It’s an upgrade. A second-layer RSI that “hears” the inner electrical impulses of price.
Pine Script® インジケーター
mauricio_of_sousaの投稿
Seasonality PH (Full History) 📊 Description The "Seasonality PH (Full History)" indicator provides an in-depth analysis of the seasonal tendencies of a selected symbol by utilizing all available historical data. The indicator aggregates historical movements (Long/Short) and calculates the Expected Value (EV) for each period (Daily, Weekly, Monthly, Quarterly), offering a more robust view of the actual average gain/loss. The visualization is based on the Long/Short bar ratio (Bias) within the given period, where the column's height reflects the strength of the prevailing direction, and the direction (up/down) indicates the Long/Short bias. The indicator also includes a table with key statistics, including a prediction for the next 3 periods. ⚙️ Settings (Inputs) Analysis Statistics Table: Display the summary table in the corner of the chart with key statistics. Performance Analysis: Display the main seasonal performance visualization as a histogram. Analysis Period: Select the period for analysis: Daily, Weekly, Monthly, or Quarterly. Seasonal Pivots: Displays the days when the asset tends to make annual seasonal highs/lows. Pivot Strength: The number of surrounding bars required to confirm a seasonal pivot (higher value = stronger pivot). Data Range The indicator automatically utilizes all available history for the given instrument. Extras Highlight Current Trading Day: Highlights the current period and extends its horizontal line to the right. Performance Labels: Displays labels on the columns. They include the % of the prevailing direction and the Expected Value (EV) in % for the period. Show S/L Ratio in Table: Displays the Short/Long ratio in the table. Track Changes: Connects the ends of the columns with a line to show the continuous change in Seasonal Bias. Indexing Anchor to Beginning of Year: Anchors all seasonal drawings to the first trading day of the current year. Manual Offset: Enables manual offset to overlay seasonality onto previous years. Offset Value: The offset value in number of bars (e.g., 252 bars/year). Dividers Month / Quarter: Enables visual separation of months or quarters in the Performance Analysis (with style and color selection). Style Settings for colors and line thickness for the main visualizations. Includes colors for Performance (Long/Short), Seasonal Pivots, and Dividers. Conditional Coloring Enable Conditional Bias Coloring: Activates conditional coloring of the columns. Bias % Threshold (0-100): The minimum percentage strength of the prevailing direction (e.g., 70%) that activates the solid color. High Long Bias Color / High Short Bias Color: Colors for periods with strong Long/Short bias. Table Settings for the position, colors, and text size of the statistics table. 💡 Concepts and Interpretation Seasonal Analysis and Bias Visualization: The main histogram shows the strength of the prevailing direction (Bias), not the average percentage change. Column Height: Normalized by the Long/Short bar ratio. A taller column means a stronger Long or Short bias. Column Direction: Up for Long Bias, Down for Short Bias. Conditional Coloring: If the Long/Short ratio exceeds the set Bias % Threshold, the column fills with a solid color to emphasize a strong bias. Expected Value (EV) Definition: EV is a weighted average of the seasonal movement, considering both the probability of the movement (Long/Short ratio) and the average magnitude of these movements. Usage: This value represents the historical profit/loss expectation for the given period. It is displayed in the Performance Labels and in the table as Average % Change. Performance Labels Top Number (%): The percentage of the prevailing direction (e.g., 75.00% Long). Bottom Number (%): The Expected Value (EV) for the period in percent. Statistics Table Data Collected: The number of years from which data has been collected. Average % Change: The Expected Value (EV) for the current period. Current % Change: The actual percentage change of the current, yet-to-be-closed, period. Prediction Next 3: The average Expected Value (EV) for the next 3 periods (a quick seasonal outlook). ⚠️ Important Note Timeframe: For correct aggregation and accurate results, the chart must be set to the Daily (D) timeframe.
Pine Script® インジケーター
Patrik7sの投稿
Gann Square of 144 (Master Price & Time)🔹 What this tool does Draws a 144-unit square in price & time (0 → 144) Plots all key horizontal & vertical levels: 0, 18, 36, 48, 54, 72, 90, 96, 108, 126, 144 Highlights the main 1/2 level (72) as thick midline Marks 1/3 and 2/3 (48 & 96) as special harmonic levels Draws internal diagonals (0–144, 144–0 and sub-squares) Plots an 8-ray Gann fan from the 0-point (0 → 36 / 72 / 108 / 144 etc.) Keeps price–time ratio consistent inside the box: the 1×1 angle has a fixed slope = price_per_bar The idea: once the square is calibrated to a major swing, you can study how price respects these angles and harmonic zones over time. 🔧 Inputs & how to set it up correctly Choose your timeframe Works best on Daily and Weekly charts. Use one timeframe consistently when calibrating the square. Start offset (bars back) Start offset (bars back) shifts the whole square left/right. Increase the value to move the square further into the past, decrease it to move it closer to the current bars. Box width (bars) Box width (bars) = how many bars the square spans horizontally. Bigger value = projects the structure further into the future. Example: 288 bars ≈ 2×144 units in time, 720 bars for longer-term projection, etc. Bottom price Bottom price is your 0-level in price. Usually set this to a major swing low (cycle low, bear market low, important pivot). The bottom-left corner of the square conceptually sits at: (start_offset_bar, bottom_price) Price per bar (slope 1×1) (if your version has this input) This defines the slope of the 1×1 angle (main Gann angle). Recommended way to set it: Pick a major impulsive move from Swing Low → Swing High. Measure: Price range = High − Low Number of bars between them. Compute: price_per_bar = price_range / number_of_bars Use that as your 1×1 value in the input. Now the main diagonal from 0 to 144 represents the true Gann 1×1 for that swing. Important: The 1×1 angle is mathematically correct (price-per-bar), even if it does not always look like a perfect 45° line visually in TradingView due to chart scaling. 📖 How to read the Square of 144 Horizontal levels 0 = anchor price (bottom) 18, 36, 48, 54, 72, 90, 96, 108, 126, 144 = key price harmonics 72 (1/2) often acts as major support/resistance 48 & 96 (1/3 and 2/3) are strong “vibration” levels Vertical levels Same units but in time (bars). When important pivots in price occur near these verticals, you get time–price confluence. Midlines (1/2) The thick horizontal and vertical lines at 72 mark the center of the square. Crossings around these often signal important cycle turns. 1/3 & 2/3 zones (48–54 and 90–96) These narrow bands are powerful reversal / decision zones. Price often reacts strongly there or accelerates if they break. Gann fan from 0-point These rays represent major trends: 1×1 equivalent (main diagonal) Faster & slower angles (e.g. 2×1, 1×2, etc depending on configuration) If price breaks one fan angle cleanly, it often “falls” or “climbs” toward the next one. 🎯 Practical use cases Project future support/resistance zones based on a major low. See where price is in the square: early in the cycle (0–36), mid (around 72), or late (108–144). Watch how price respects: midlines (72), 1/3 and 2/3 bands (48–54, 90–96), and the fan angles from 0. Combine with your own price action / Fibonacci / trend tools – this is not a signal generator, but a time–price map. ⚠️ Notes & limitations This tool is for educational & analytical purposes only. It does not generate buy/sell signals. Visual 45° angles in TradingView can change when you zoom or rescale the chart. → The script keeps the internal price-per-bar logic stable, even if the drawing looks steeper/flatter when zooming. Always confirm zones with price action, volume, and higher timeframe context.
Pine Script® インジケーター
cem_zの投稿
neeson CME Gaps CompleteCME Gap Detection & Trading Signals Indicator Originality & Unique Features This indicator represents a sophisticated approach to CME gap analysis by combining multiple innovative features not found in standard gap indicators: Dual Visualization System: Traditional gap boxes that precisely mark the price void between Friday's close and Monday's open Intelligent bar coloring that instantly identifies gap days through color differentiation Comprehensive Time Analysis: Tracks gaps for up to 4 years, providing unprecedented historical context Maintains gap memory even through chart reloads and timeframe changes Advanced Signal Generation: Real-time gap fill detection with customizable threshold levels Integrated alert system for both new gap formations and gap fill completions Functionality & Implementation Core Detection Mechanism The indicator automatically identifies CME weekend gaps by comparing Friday's closing price with Monday's opening price. When a significant price discontinuity is detected (configurable threshold), it triggers the visualization and tracking system. Visual Components: Gap Boxes: Semi-transparent colored rectangles (green for bullish gaps, red for bearish gaps) that precisely cover the price gap area between Friday's close and Monday's open Extension Lines: Projection lines that extend from gap boundaries into future price action, helping traders visualize potential support/resistance levels Bar Coloring: Automatic color coding where gap bars are highlighted (green/red) while normal trading bars appear gray, creating immediate visual distinction Signal Generation: Buy Signals: Triggered when bearish gaps are filled (price moves upward through the gap zone) Sell Signals: Activated when bullish gaps are filled (price moves downward through the gap zone) Smart Thresholds: Configurable fill percentage (0.1%-5.0%) to avoid false signals from minor price fluctuations Technical Implementation The script employs sophisticated array management to track multiple gaps simultaneously while maintaining optimal performance. Each gap stores: Price boundaries (top/bottom) Gap type (bullish/bearish) Detection timestamp Volume data (for potential future analysis) Fill status The automatic cleanup system removes gaps older than the configured maximum age (1-10 years) to prevent memory overload while preserving relevant historical context. Usage Instructions Basic Operation Apply to Chart: Add the indicator to any cryptocurrency or futures chart Automatic Detection: The script automatically scans for Monday openings relative to Friday closes Visual Analysis: Observe colored bars for gap days and corresponding gap boxes Configuration Options Gap Detection Settings: Show CME Gaps: Enable/disable the entire detection system Max Gap Age: Set how long to track gaps (1-10 years) Only Weekend Gaps: Focus exclusively on CME weekend gaps Visual Customization: Bullish/Bearish Gap Colors: Customize gap box appearance Extension Lines: Control projection line visibility and length Bar Coloring: Toggle bar color differentiation Trading Signals: Show Trading Signals: Enable/disable buy/sell alerts Gap Fill Threshold: Set sensitivity for gap fill detection Enable Alerts: Activate platform notifications Trading Strategy Integration Gap Fill Strategy: Monitor for gap fill completion signals Enter positions in the direction of the fill (buy on bearish gap fills, sell on bullish gap fills) Use extension lines as potential profit targets or stop-loss levels Support/Resistance Identification: Historical gaps often act as future support/resistance Use the 4-year gap memory to identify key price levels Combine with other technical analysis tools for confirmation Core Calculation Philosophy Market Psychology Foundation The indicator operates on the well-established market principle that "gaps tend to fill." This phenomenon stems from: Market Memory: Traders remember significant price discontinuities and often trade to close them Liquidity Gaps: Gaps represent areas of low liquidity that markets naturally seek to revisit Psychological Levels: Round numbers and significant price levels often coincide with gap boundaries Statistical Edge By systematically tracking gaps across extended timeframes (up to 4 years), the indicator provides: Probability Assessment: Historical gap fill rates help assess current gap fill probabilities Risk Management: Clear visual boundaries for stop-loss placement and position sizing Time Analysis: Understanding how quickly different types of gaps tend to fill Adaptive Detection The algorithm incorporates: Dynamic Thresholds: Configurable sensitivity to ignore insignificant gaps Multi-Timeframe Awareness: Consistent performance across different chart timeframes Market Condition Adaptation: Automatic adjustment to varying volatility environments This comprehensive approach transforms simple gap detection into a sophisticated trading tool that combines visual clarity, historical context, and actionable signals for improved trading decisions.
Pine Script® インジケーター
neeson1987の投稿
GMH : Tech Bubble Good Morning Holding Simulating How to Ride the Bubble — and Jump Out Before the Crash Be careful! Most simulation results show that this strategy sometimes underperforms a simple buy-and-hold, because it gives away positions during deep retracements and buys back at higher thresholds. Humans often struggle with cutting losses. When the pain becomes too much, they lose the confidence needed to execute even a reasonable strategy. But in terms of mentality, this approach reduces long-term portfolio volatility. It helps investors feel more at peace, especially during real market crashes like the tech bubble in 2021. How to use : Select TimeFrame 4HR on trading view
Pine Script® ストラテジー
gmhfundの投稿
PLANBXPRESS PSYCHOLOGICAL LEVEL ENTRY MODELThis Indicator merges multiple professional trading concepts into one visual tool — helping traders identify momentum shifts, entry zones, and daily trading plans with volume confirmation. It automatically detects trend direction, generates dynamic take-profit & stop-loss levels, and overlays key daily reference points such as VWAP, pivot, support, and resistance zones based on ATR and trend context. ⚙️ Main Components 1️⃣ Signal System Detects trend bias using SMA-based logic. Generates entry price, TP1–TP3, and SL dynamically from recent impulse ranges. Updates signals automatically when trend bias changes or previous targets are hit. Visual levels are drawn directly on the chart. 2️⃣ Volume Analysis Compares current volume against a moving average (SMA). Classifies volume as: 🟢 Strong (above 1.5× average) 🟡 Average 🔴 Weak (below 0.8× average) Displays the current volume strength and trend bias in an on-chart table. 3️⃣ Auto Day Plan Uses multi-timeframe ATR calculations to define: Support / Resistance zones Pivot & Balance areas Daily VWAP Auto Targets (ATR-based expansion levels) Adapts automatically to selected base timeframe (1H, 4H, or Daily). 4️⃣ Trend Context Dual EMA system (50 & 200) to confirm bullish/bearish structure. Aligns expected direction with VWAP & pivot location for context-aware bias. 🎯 What You Get on Chart 📈 Automatic LONG/SHORT signals 🎯 TP1, TP2, TP3, and SL levels 📊 Volume strength meter 🧭 VWAP, pivot, support/resistance & balance zones 🎨 Clean visual layout for intraday and swing traders 🧩 Inputs Parameter Description lenImpulse Impulse range length smaLen SMA length for trend bias levelRatio SL/TP ratio multiplier volLen Volume SMA length baseTF Base timeframe for zones/VWAP atrMult1 / atrMult2 ATR multipliers for target levels fwdBars Extension range for future projection 💡 How to Use Add the script to your chart and choose your preferred timeframe. Observe signal direction (📈 LONG / 📉 SHORT) and TP/SL levels. Confirm entries when: Trend aligns with VWAP direction, and Volume category shows Strong or Average. Use Auto Day Plan levels (pivot, balance, VWAP) as intraday reaction zones.
Pine Script® インジケーター
planbxpressの投稿
Enhanced Oversold | 超跌信号 + 历史统计 + 模拟入出场 (v2.4)Enhanced Oversold | Oversold Signal + Historical Stats + Simulated Entries/Exits (v2.4) – Release Notes (EN) 1. Overview This script is an advanced “buy-the-dip” toolkit for US stocks and ETFs. It detects rare, deep intraday selloffs on fundamentally strong names, then simulates a three-tier entry strategy around the event and tracks different exit paths. The goal is to answer three questions: * When did similar crashes happen in the past? * How would a disciplined laddered entry have performed? * How long did it take for price to recover under different exit rules? 2. Core idea * Define an 8-hour “crash” relative to a robust reference price yBase = min(previous-day VWAP, previous close). * Combine this with short-term RSI and 15m Z-score filters to avoid “random noise” dips. * Filter out regime-level risk (index / sector crash, volatility spikes, liquidity stress, bad long-term trend). * When a valid oversold event appears, simulate staged entries (E1/E2/E3) and exits, then record everything into a historical table and JSON for external analysis. 3. Signal logic (summary) * Timeframe: designed for 15m / 5m charts, using US RTH session 09:30–16:00. * Crash trigger (must all be true): * 8h drawdown from yBase ≤ fixed threshold (default −6%) and the 8h low is recent within N×15m bars. * RSI(1h) below an oversold level (default < 30). * 15m return Z-score ≤ threshold (default ≤ −1.5) over a configurable window. * Optional filters: * Circuit breaker: SPY + sector ETF + VIX/VIX3M + VVIX conditions to avoid market-wide panic regimes. * Liquidity stress: SPY 1h “stress index” (ATR/price, intraday range vs volume, and VIX Z-score) normalised to 0–100, with a user threshold. * Shape filter: only accept “A-type” healthy long-term trend set-ups (6m / 12m performance vs VWAP/EMA and daily 200SMA slope). 4. Simulated entries (E1 / E2 / E3) * E1: first ladder price anchored to the first RTH after the event, with optional “same-day RTH” entry if the event happens during RTH. * E2: only becomes valid from the next RTH day onward, and only if the new RTH low breaks the E1-execution-day low. The target depth is based on E1 discount × (1+α). * E3: only after E2, on a different day (not the E1 “anchor” day). Depth is based on the max discount of E1/E2 × (1+β). * Stair and cap rules: * A minimum tick step between ladders, adjustable in ticks. * Optional cap so that every entry price must be below a multiple of the event price. * Optional “chase on first RTH bar”: if nothing fills on the first RTH bar, prices can be lifted once toward the intraday low, while keeping ladder spacing and cap constraints. * All actual fills are simulated against bar lows. The script records: * Whether E1/E2/E3 filled. * Actual execution prices. * Average entry price and the entry sequence string (e.g. “13”, “123”). 5. Exit logic and timing metrics Two exit rules are tracked in parallel: * Exit Ref: exit when close returns to yBase. * Exit Open+Y%: exit when close reaches min(event close, first post-event open) × (1+Y%). For each event the script records: * t_ref_d: days from event to first touch of yBase. * tY_d: days until Open+Y% level is reached. * tUp_d: days until price turns “bullish again” (RTH VWAP ≥ previous daily VWAP and close > previous close). * tLow_d: days until the minimum price between event and t_ref (or end of window) is reached. * lowToRef: that minimum price. * ddMinPct: maximum drawdown (in %) from average entry to lowToRef. Additional intraday stats for the first RTH after the event: * dayFirstLow: low of the first RTH bar from the chosen statistics start. * rthLow: overall RTH low of that day. * eqFirst: whether the overall low equals the first-bar low. * postDipAvg: average close after the daily low is formed (equal-weighted). 6. Historical table on chart * The on-chart table shows up to maxRows events, most recent first. * Columns include: * Date, 8h drawdown, yBase, stress, circuit conditions, shape (A/B/C). * Entry sequence and actual execution prices. * Average entry price. * Exit prices and PnL (in % and absolute) for both exit modes. * Timing metrics (t_ref, tY, tUp, tLow). * Min price to t_ref, max drawdown vs average entry. * First RTH low, day RTH low, equality flag, post-dip average, and market flag (US/HK). The table is only redrawn on bar close to reduce CPU load. 7. Liquidity stress pane * Optional lower pane that plots the SPY-based liquidity stress index (0–100). * Components (all on 60m SPY/VIX data): * rvZ: Z-score of ATR/price. * rpvZ: Z-score of intraday range divided by volume. * vixZ: Z-score of VIX. * Stress index = 50 + 10 × (rvZ + rpvZ + vixZ), clipped to . * A horizontal line marks the current filter threshold. 8. Webhook JSON outputs The indicator can send three types of alerts via alert(): * Signal * Emitted only when a new oversold event fires. * Contains ticker, market flag, event time, drop8h, RSI1h, Z15, yBase, shape, circuit reason, and stress. * History * Emitted when requested, containing a full snapshot of the latest event: * All key metrics used in the table, including absolute PnL for both exit modes, timing metrics, drawdown stats, and post-dip averages. * HistoryAll * Compressed bulk export of all events as a compact JSON object: * Short keys (d, dr8, yb, st, c, sh, e, px, avg, xr, pr, absR, xy, py, absY, tr, ty, tu, tl, l2r, dd, fl, rl, eq, pavg). * Numbers rounded to 3 decimals to reduce payload size. * Because TradingView enforces a payload size limit, HistoryAll is automatically split into multiple chunks (up to ~3200 characters each). * When HistoryAll is selected and a manual “dump all” flag is turned on, the script will emit multiple alerts on the same bar until all chunks are sent. 9. What is new in v2.3 Compared with previous versions, v2.3 adds: * Deeper risk metrics: * Tracking of the minimum price until recovery (lowToRef) and its timing (tLow_d). * Max drawdown vs average entry (ddMinPct) for each event. * E1-execution-day RTH low tracking, used to decide whether later days truly “make a new low” before adding E2. * Absolute PnL fields: * absRef and absOY for both exit modes, calculated using user-defined share/contract sizes for E1/E2/E3. * More compact and robust HistoryAll: * Short-key JSON objects, 3-decimal numeric formatting, chunked output suitable for 3rd-party storage and analysis. * Performance optimisations: * Array length normalisation is done once per bar instead of inside the per-event loop. * Table rendering only happens on bar close, and no longer clears the whole grid every bar. * Same-day RTH pricing for event-day entries is restricted to the latest event only, reducing redundant work on historical events. 10. Usage notes and disclaimer * Recommended canvas: 15m or 5m chart, US stocks / ETFs, with RTH session set to 09:30–16:00. * For stable operation on TradingView’s servers, avoid extremely large lookback windows and oversized history tables if your symbol has very long history. * This script is for educational and research purposes only. * It is not financial advice and does not guarantee profitability. Always combine it with your own risk management, fundamental research, and market context.
Pine Script® インジケーター
lvyaofeng19920413の投稿
Previous Day OHLC with Fib LevelThe Previous Day OHLC indicator is designed to help traders identify key price levels from the previous trading session. These levels often act as important zones of support, resistance, and market reaction points during the current day’s price action. This indicator automatically plots the Previous Day’s Open, High, Low, and Close on any intraday timeframe, making it a powerful tool for day traders, scalpers, and swing traders who rely on market structure and session behavior.
Pine Script® インジケーター
Rachotiの投稿
Vertical Lines on Selected DatesThis Pine Script indicator allows a user to place vertical lines on a chart at specific dates and times. It provides three separate input sections, each dedicated to one targeted date. For each of the three dates, the user can select the exact timestamp and customize the line’s color, width, and style directly from the indicator’s settings panel. Behind the scenes, the script converts the selected visual style (solid, dashed, or dotted) into the appropriate internal line style using a helper function. When the live chart time crosses each chosen timestamp, the script detects that crossover and draws a vertical line on that exact bar. The line extends both upward to the high and downward to the low of the chart, creating a full-height marker. Overall, the indicator functions as a simple visual marking tool for highlighting important moments in time—such as events, sessions, or personal reminders—without affecting any price analysis. The flexibility of color, width, and style allows each vertical line to stand out uniquely, and because the script uses detection logic on a per-bar basis, each line is drawn only once at the appropriate moment.
Pine Script® インジケーター
Voltaire000の投稿
YCGH ATH DrawdownHow the Indicator Measures Drawdown from ATH The indicator continuously tracks and calculates the percentage decline from the all-time high (ATH) using a systematic approach.​ ATH Tracking Mechanism Dynamic ATH Calculation: The script maintains a persistent variable that stores the highest price ever reached. On each bar, it compares the current high with the stored ATH using ath := math.max(ath, high), updating the ATH whenever a new peak is reached.
Pine Script® インジケーター
YCGH_Capitalの投稿
VIX Calm vs Choppy (Bar Version, VIX High Threshold)This indicator tracks market stability by measuring how long the VIX stays below or above a chosen intraday threshold. Instead of looking at VIX closes, it uses VIX high, so even a brief intraday spike will flip the regime into “choppy.” The tool builds a running clock of consecutive bars spent in each regime: Calm regime: VIX high stays below the threshold Choppy regime: VIX high hits or exceeds the threshold Calm streaks plot as positive bars (light blue background). Choppy streaks plot as negative bars (dark pink background). This gives a clean picture of how long the market has been stable vs volatile — useful for trend traders, breakout traders, and anyone who watches risk-on/risk-off conditions. A table shows the current regime and streak length for quick reference.
Pine Script® インジケーター
Nik-Voraの投稿
YCGH Drawdown PercentilesWhat This Indicator Does? The Drawdown Percentiles indicator tracks how far below the all-time high (ATH) a stock or asset is currently trading, then displays statistical percentiles of historical drawdowns in a customizable table.​ Percentile Analysis: It collects up to 5,000 historical bars of drawdown data, sorts them, and calculates user-selected percentiles (default: 10th, 30th, 50th) to show where current drawdowns rank historically.​ Visual Display: A table shows each percentile threshold with color-coded drawdown values, helping you quickly assess whether the current drawdown is typical or extreme compared to historical patterns.​ Practical Use Cases Risk Assessment: Identify if current drawdowns fall within normal ranges or represent extreme conditions requiring position adjustments.​ Entry/Exit Timing: Use percentile rankings to time entries during historically shallow drawdowns (better conditions) and reduce exposure during deep drawdowns.​ Strategy Comparison: Compare drawdown patterns across different assets or trading strategies to evaluate risk-adjusted performance.​
Pine Script® インジケーター
YCGH_Capitalの投稿
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