立即開始

在腳本中搜尋"泰国一寺庙被曝藏有40多具尸体"

MA Dist% Screener [Pineify]MA Distance Screener: Multi-Asset Market Scanner for TradingView Screen multiple symbols and multiple timeframes on TradingView with the MA Distance Screener. Compare asset prices to flexible moving average types. Visual table view, custom assets, timeframes, and MA types. Supercharge your TradingView screener, optimize your workflow, and catch opportunities across assets in real time. Key Features Screen up to 10 custom symbols simultaneously across four configurable timeframes. Choose from multiple Moving Average types: EMA, SMA, WMA, HMA, RMA, VWMA for flexible market context. Visualize real-time % distance between price and moving average per asset/timeframe in a clean, color-coded table. Highly customizable: Set your own symbol list, timeframes, MA length and type. Alerts for symbol/MA deviations—instantly see overbought/oversold status with intuitive background coloring. Optimized for crypto, FX, and traditional assets – all asset types supported. How It Works The MA Distance Screener acts as a dynamic multi-symbol, multi-timeframe scanner. For each selected symbol and timeframe, it calculates the percentage distance between the latest close price and the selected type of moving average (EMA/SMA/etc.). This is achieved by making secure `request.security` calls per asset/timeframe combination, retrieving updated values for each matrix cell. The computed distance (%) is displayed in a color-coded table: a positive value signals price above the MA (potential trend strength), while negatives indicate price below the MA (potential weakness or retracement). Custom colors highlight extreme overbought/oversold readings for quick visual cues. Trading Ideas and Insights Quickly spot assets showing the largest deviation from their moving averages – ideal for mean reversion or trend-following entries. Identify clusters of assets and timeframes lining up in overbought or oversold states; optimize entries with multi-timeframe confirmation. Scan the market in one glance—reduce chart-hopping and never miss an opportunity when multiple assets align for signals. The ability to scan distance-to-MA across assets and periods gives traders a statistical edge, surfacing hidden pivots, breakouts, and mean-reversion trades that single-chart analysis may miss. How Multiple Indicators Work Together At its core, this screener allows the trader to configure what gets scanned—pick your top 10 assets and favorite 4 timeframes. With each matrix cell, the selected MA (e.g., 14-period EMA) is recalculated, and the current price's distance (%) from that value is computed. By offering six distinct moving average algorithms (EMA, SMA, RMA, HMA, WMA, VWMA), traders can choose their preferred method, adapting the screener for trend, swing, or mean-reversion style. All values are visualized in a single table, creating a true "market dashboard" effect for real-time cross-asset assessment. Unique Aspects True cross-asset, cross-timeframe screening in a unified table—rare for Pine Script indicators. Full flexibility—customizable list of assets, timeframes, and MA parameters to suit any market/trading plan. Intuitive color-coding and table display eliminates guesswork, enabling “at-a-glance” screening and rapid decision-making. Efficient, optimized Pine v6 codebase—minimal lag even with 40+ concurrent streams. How to Use Add the indicator to your TradingView chart (overlay: off, use a clean chart). In the settings panel, enter up to 10 symbols (tickers) you want to screen—crypto, stocks, FX, or indices. Set the 4 timeframes to scan (e.g., 1m, 5m, 15m, 1h), plus your preferred moving average length and type. Review the results in the pop-up table, where each cell shows "% Distance" from MA for each symbol/timeframe. Monitor table background/text color for overbought vs. oversold cues. Customization Symbol List: Track any asset by typing its TradingView ticker. Timeframes: Full freedom to select 4 timeframes per scan, from 1min to monthly. MA Config: Choose period length and MA algorithm (classic or exotic types). Color Themes: Easily spot signals with dynamic color backgrounds and customizable thresholds. Conclusion The MA Distance Screener is a must-have tool for systematic traders, portfolio managers, and retail chartists seeking a true multi-asset edge. With real-time cross-checking against multiple moving averages and timeframes, it empowers faster, more confident decision-making, while reducing chart fatigue and missed setups. Unlock new insights, catch broad and hidden opportunities, and optimize your market workflow—all in a single TradingView panel.
Pine Script®指標
由Pineify提供
RSI Trendlines and Divergences█OVERVIEW The "RSI Trendlines and Divergences" indicator is an advanced technical analysis tool that leverages the Relative Strength Index (RSI) to draw trendlines and detect divergences. Designed for traders seeking precise market signals, the indicator identifies key pivot points on the RSI chart, draws trendlines between pivots, and detects bullish and bearish divergences. It offers flexible settings, background coloring for breakout signals, and divergence labels, supported by alerts for key events. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes. █CONCEPTS The indicator was developed to provide an alternative signal source for the RSI oscillator. Trendline breakouts and bounces off trendlines offer a broader perspective on potential price behavior. Combining these with traditional RSI signal interpretation can serve as a foundation for creating various trading strategies. █FEATURES - RSI and Pivot Calculation: Calculates RSI based on the selected source price (default: close) with a customizable period (default: 14). Identifies pivot points on RSI and price for trendlines and divergences. - RSI Trendlines: Draws trendlines connecting RSI pivots (upper for downtrends, lower for uptrends) with optional extension (default: 30 bars). The trendline appears and generates a signal only after the first RSI crossover. Lines are colored (red for upper, green for lower). - Trendline Fill: Widens the trendline with a tolerance margin expressed in RSI points, reducing signal noise and visually highlighting trend zones. Breaking this zone is a condition for generating signals, minimizing false signals. The tolerance margin can be increased or decreased. - Divergence Detection: Identifies bullish and bearish divergences based on RSI and price pivots, displaying labels (“Bull” for bullish, “Bear” for bearish) with adjustable transparency. Divergence labels appear with a delay equal to the specified pivot length (default: 5). Higher values yield stronger signals but with greater delay. - Breakout Signals: Generates signals when RSI crosses the trendline (bullish for upper lines, bearish for lower lines), with background coloring for signal confirmation. - Alerts: Built-in alerts for: Detection of bullish and bearish divergences. Upper trendline crossover (bullish signal). Lower trendline crossover (bearish signal). - Customization: Allows adjustment of RSI length, pivot settings, line colors, fills, labels, and transparency of signals and background. █HOW TO USE Add the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configuring Settings. RSI Settings - RSI Length: Period for RSI calculation (default: 14). - SMA Length: Period for RSI moving average (default: 9). - Source: Source price for RSI (default: close). Pivot Settings for Trend - Left Bars for Pivot: Number of bars back for detecting pivots (default: 10). - Right Bars for Pivot: Number of bars forward for confirming pivots (default: 10). - Extension after Second Pivot: Number of bars to extend the trendline (default: 30, 0 = none). Extension increases the number of signals, while shortening reduces them. - Tolerance: Deviation in RSI points to widen the breakout margin, reducing signal noise (default: 3.0). Divergence Settings - Enable Divergence Detection: Enables/disables divergence detection (default: enabled). - Pivot Length for Divergence: Pivot period for divergences (default: 5). Style Settings - Upper Trendline Color: Color for downtrend lines (default: red). - Upper Fill Color: Fill color for upper lines (default: red, transparency 70). - Lower Trendline Color: Color for uptrend lines (default: green). - Lower Fill Color: Fill color for lower lines (default: green, transparency 70). - SMA Color: Color for RSI moving average (default: yellow). - Bullish Divergence Color: Color for bullish labels (default: green). - Bearish Divergence Color: Color for bearish labels (default: red). - Text Color: Color for label text (default: white). - Divergence Label Transparency: Transparency of labels (0-100, default: 40). - Signal Background Transparency: Transparency of breakout signal background (0-100, default: 80). Interpreting Signals - Trendlines: Upper lines (red) indicate RSI downtrends, lower lines (green) indicate uptrends. The trendline appears and generates a signal only after the first RSI crossover. Trendline breakouts suggest potential trend reversals. - Divergences: “Bull” labels indicate bullish divergence (potential rise), “Bear” labels indicate bearish divergence (potential decline), with a delay based on pivot length (default: 5). Divergences serve as confirmation or warning of trend reversal, not as standalone signals. - Signal Background: Green background signals bullish breakouts, red background signals bearish breakouts. - RSI Levels: Horizontal lines at 70 (overbought), 50 (midline), and 30 (oversold) help assess market zones. - Alerts: Set up alerts in TradingView for divergences or trendline breakouts. Combining with Other Tools: Use with support/resistance levels, Fibonacci levels, or other indicators for signal confirmation. █APPLICATIONS The "RSI Trendlines and Divergence" indicator is designed to identify trends and potential reversal points, supporting both trend-following and reversal strategies: - Trend Confirmation: Trendlines indicate the RSI trend direction, with breakouts signaling potential reversals. The indicator is functional in traditional RSI usage, allowing classic RSI interpretation (e.g., returning from overbought/oversold zones). Combining trendline breakouts with RSI signal levels, such as a return from overbought or oversold zones paired with a trendline breakout, strengthens the signal. - Divergence Detection: Divergences serve as confirmation or warning of trend reversal, not as standalone signals. █NOTES - Adjust settings (e.g., RSI length, pivots, tolerance) to suit your trading style and timeframe. - Combine with other technical analysis tools to enhance signal accuracy.
Pine Script®指標
由Uncle_the_shooter提供
9
EMA 50/200/100 [NevoxCore]⯁ OVERVIEW EMA 50/200/100 is a clean EMA trio for trend mapping. It highlights the classic 50/200 bias, keeps a constant EMA-100 anchor in white, plots cross dots, and can mark the first pullback back to a target EMA within an ATR tolerance. Solid bias bar coloring (Nevox pink/orange or classic green/red) and compact visuals make it fast and reliable with no repainting. ⯁ HOW IT WORKS Calculates Fast EMA 50, Slow EMA 200, and an always-on EMA 100 (white). Bias = Fast vs. Slow: Fast > Slow → long regime; Fast < Slow → short regime. Cross dots appear at confirmed 50/200 crosses (once per bar close). First Pullback: after a cross, the script arms a window and marks the first return to the chosen EMA (100 or Fast) within ATR × tolerance. Bar coloring is solid by regime (pink/orange by default, classic green/red when enabled). No lookahead; signals confirm on bar close. ⯁ KEY FEATURES • EMA 50/200 with EMA-100 anchor (always visible, white) • Cross Up/Down dots (style-configurable) • First Pullback marker (toggle) with ATR tolerance & window • Solid bias bar coloring (Nevox or classic) • Optional bias fill between Fast/Slow • Minimal 1-cell HUD (OFF by default) • Ready-made alerts with clean prefixes ⯁ SETTINGS (quick) Visual: Classic colors toggle; Bias Fill (ON); Fill Transparency (85); Bar Color (solid, ON; auto-disabled when Classic is ON). Core: Source = Close; EMA Fast = 50; EMA Slow = 200. Pullback: Show marker (ON); Target EMA = EMA 100; Tolerance × ATR = 0.5; Max Bars After Cross = 40; ATR Length = 14. HUD: Mini HUD OFF; Position selector. Status Line: OFF by default (optional EMA values). ⯁ ALERTS (built-in) • Cross Up (Fast above Slow) — confirmed at bar close • Cross Down (Fast below Slow) — confirmed at bar close • First Pullback LONG — first return to target after long cross • First Pullback SHORT — first return to target after short cross Prefix: EMA and message includes {{ticker}} {{interval}} @ {{close}}. Suggested: set TradingView alerts to Once Per Bar Close. ⯁ HOW TO USE • Read trend quickly: 50 above 200 with a rising 100 = healthy long bias. • Use the First Pullback to time entries after a cross (default target = EMA 100). • Tune Tolerance × ATR by symbol/TF; 0.3–0.7 is a good start. • Keep charts clean: bias fill + barcolor ON; switch to Classic for green/red if preferred. ⯁ WHY IT’S DIFFERENT It preserves the classic 50/200 logic but adds a consistent EMA-100 anchor, a single, one-shot pullback detector, and clean bias bars — all in a lightweight overlay with no repaint tricks. ⯁ DISCLAIMER Backtest and paper-trade before using live. Not financial advice. Performance depends on market, timeframe, and parameters.
Pine Script®指標
由NevoxCore提供
Historical VolatilityHistorical Volatility Indicator with Custom Trading Sessions Overview This indicator calculates **annualized Historical Volatility (HV)** using logarithmic returns and standard deviation. Unlike standard HV indicators, this version allows you to **customize trading sessions and holidays** for different markets, ensuring accurate volatility calculations for options pricing and risk management. Key Features ✅ Custom Trading Sessions - Define multiple trading sessions per day with precise start/end times ✅ Multiple Markets Support - Pre-configured for US, Russian, European, and crypto markets ✅ Clearing Periods Handling - Account for intraday clearing breaks ✅ Flexible Calendar - Set trading days per year for different countries ✅ All Timeframes - Works correctly on intraday, daily, weekly, and monthly charts ✅ Info Table - Optional display showing calculation parameters How It Works The indicator uses the classical volatility formula: σ_annual = σ_period × √(periods per year) Where: - σ_period = Standard deviation of logarithmic returns over the specified period - Periods per year = Calculated based on actual trading time (not calendar time) Calculation Method 1. Computes log returns: ln(close / close ) 2. Calculates standard deviation over the lookback period 3. Annualizes using the square root rule with accurate period count 4. Displays as percentage Settings Calculation - Period (default: 10) - Lookback period for volatility calculation Trading Schedule - Trading Days Per Year (default: 252) - Number of actual trading days - USA: 252 - Russia: 247-250 - Europe: 250-253 - Crypto (24/7): 365 - Trading Sessions - Define trading hours in format: `hh:mm:ss-hh:mm:ss, hh:mm:ss-hh:mm:ss` Display - Show Info Table - Shows calculation parameters in real-time Market Presets United States (NYSE/NASDAQ) Trading Sessions: 09:30:00-16:00:00 Trading Days Per Year: 252 Trading Minutes Per Day: 390 Russia (MOEX) Trading Sessions: 10:00:00-14:00:00, 14:05:00-18:40:00 Trading Days Per Year: 248 Trading Minutes Per Day: 515 Europe (LSE) Trading Sessions: 08:00:00-16:30:00 Trading Days Per Year: 252 Trading Minutes Per Day: 510 Germany (XETRA) Trading Sessions: 09:00:00-17:30:00 Trading Days Per Year: 252 Trading Minutes Per Day: 510 Cryptocurrency (24/7) Trading Sessions: 00:00:00-23:59:59 Trading Days Per Year: 365 Trading Minutes Per Day: 1440 Use Cases Options Trading - Compare HV vs IV - Historical volatility compared to implied volatility helps identify mispriced options - Volatility mean reversion - Identify when volatility is unusually high or low - Straddle/strangle selection - Choose optimal strikes based on historical movement Risk Management - Position sizing - Adjust position size based on current volatility - Stop-loss placement - Set stops based on expected price movement - Portfolio volatility - Monitor individual asset volatility contribution Market Analysis - Regime identification - Detect transitions between low and high volatility environments - Cross-market comparison - Compare volatility across different assets and markets Why Accurate Trading Hours Matter Standard HV indicators assume 24-hour trading or use simplified day counts, leading to significant errors in annualized volatility: - 5-minute chart error : Can be off by 50%+ if using wrong period count - Options pricing impact : Even 2-3% HV error affects option values substantially - Intraday vs overnight : Correctly excludes non-trading periods This indicator ensures your HV calculations match the methodology used in professional options pricing models. Technical Notes - Uses actual trading minutes, not calendar days - Handles multiple clearing periods within a single trading day - Properly scales volatility across all timeframes - Logarithmic returns for more accurate volatility measurement - Compatible with Pine Script v6 Author Notes: This indicator was designed specifically for options traders who need precise volatility measurements across different global markets. The customizable trading sessions ensure your HV calculations align with actual market hours and industry-standard options pricing models.
Pine Script®指標
由kni85提供
Trend Fib Zone Bounce (TFZB) [KedArc Quant]Description: Trend Fib Zone Bounce (TFZB) trades with the latest confirmed Supply/Demand zone using a single, configurable Fib pullback (0.3/0.5/0.6). Trade only in the direction of the most recent zone and use a single, configurable fib level for pullback entries. • Detects market structure via confirmed swing highs/lows using a rolling window. • Draws Supply/Demand zones (bearish/bullish rectangles) from the latest MSS (CHOCH or BOS) event. • Computes intra zone Fib guide rails and keeps them extended in real time. • Triggers BUY only inside bullish zones and SELL only inside bearish zones when price touches the selected fib and closes back beyond it (bounce confirmation). • Optional labels print BULL/BEAR + fib next to the triangle markers. What it does Finds structure using confirmed swing highs/lows (you choose the confirmation length). Builds the latest zone (bullish = demand, bearish = supply) after a CHOCH/BOS event. Draws intra-zone “guide rails” (Fib lines) and extends them live. Signals only with the trend of that zone: BUY inside a bullish zone when price tags the selected Fib and closes back above it. SELL inside a bearish zone when price tags the selected Fib and closes back below it. Optional labels print BULL/BEAR + Fib next to triangles for quick context Why this is different Most “zone + fib + signal” tools bolt together several indicators, or fire counter-trend signals because they don’t fully respect structure. TFZB is intentionally minimal: Single bias source: the latest confirmed zone defines direction; nothing else overrides it. Single entry rule: one Fib bounce (0.3/0.5/0.6 selectable) inside that zone—no counter-trend trades by design. Clean visuals: you can show only the most recent zone, clamp overlap, and keep just the rails that matter. Deterministic & transparent: every plot/label comes from the code you see—no external series or hidden smoothing How it helps traders Cuts decision noise: you always know the bias and the only entry that matters right now. Forces discipline: if price isn’t inside the active zone, you don’t trade. Adapts to volatility: pick 0.3 in strong trends, 0.5 as the default, 0.6 in chop. Non-repainting zones: swings are confirmed after Structure Length bars, then used to build zones that extend forward (they don’t “teleport” later) How it works (details) *Structure confirmation A swing high/low is only confirmed after Structure Length bars have elapsed; the dot is plotted back on the original bar using offset. Expect a confirmation delay of about Structure Length × timeframe. *Zone creation After a CHOCH/BOS (momentum shift / break of prior swing), TFZB draws the new Supply/Demand zone from the swing anchors and sets it active. *Fib guide rails Inside the active zone TFZB projects up to five Fib lines (defaults: 0.3 / 0.5 / 0.7) and extends them as time passes. *Entry logic (with-trend only) BUY: bar’s low ≤ fib and close > fib inside a bullish zone. SELL: bar’s high ≥ fib and close < fib inside a bearish zone. *Optionally restrict to one signal per zone to avoid over-trading. (Optional) Aggressive confirm-bar entry When do the swing dots print? * The code confirms a swing only after `structureLen` bars have elapsed since that candidate high/low. * On a 5-min chart with `structureLen = 10`, that’s about 50 minutes later. * When the swing confirms, the script plots the dot back on the original bar (via `offset = -structureLen`). So you *see* the dot on the old bar, but it only appears on the chart once the confirming bar arrives. > Practical takeaway: expect swing markers to appear roughly `structureLen × timeframe` later. Zones and signals are built from those confirmed swings. Best timeframe for this Indicator Use the timeframe that matches your holding period and the noise level of the instrument: * Intraday : * 5m or 15m are the sweet spots. * Suggested `structureLen`: * 5m: 10–14 (confirmation delay \~50–70 min) * 15m: 8–10 (confirmation delay \~2–2.5 hours) * Keep Entry Fib at 0.5 to start; try 0.3 in strong trends, 0.6 in chop. * Tip: avoid the first 10–15 minutes after the open; let the initial volatility set the early structure. * Swing/overnight: * 1h or 4h. * `structureLen`: * 1h: 6–10 (6–10 hours confirmation) * 4h: 5–8 (20–32 hours confirmation) * 1m scalping: not recommended here—the confirmation lag relative to the noise makes zones less reliable. Inputs (all groups) Structure • Show Swing Points (structureTog) o Plots small dots on the bar where a swing point is confirmed (offset back by Structure Length). • Structure Length (structureLen) o Lookback used to confirm swing highs/lows and determine local structure. Higher = fewer, stronger swings; lower = more reactive. Zones • Show Last (zoneDispNum) o Maximum number of zones kept on the chart when Display All Zones is off. • Display All Zones (dispAll) o If on, ignores Show Last and keeps all zones/levels. • Zone Display (zoneFilter): Bullish Only / Bearish Only / Both o Filters which zone types are drawn and eligible for signals. • Clean Up Level Overlap (noOverlap) o Prevents fib lines from overlapping when a new zone starts near the previous one (clamps line start/end times for readability). Fib Levels Each row controls whether a fib is drawn and how it looks: • Toggle (f1Tog…f5Tog): Show/hide a given fib line. • Level (f1Lvl…f5Lvl): Numeric ratio in . Defaults active: 0.3, 0.5, 0.7 (0 and 1 off by default). • Line Style (f1Style…f5Style): Solid / Dashed / Dotted. • Bull/Bear Colors (f#BullColor, f#BearColor): Per-fib color in bullish vs bearish zones. Style • Structure Color: Dot color for confirmed swing points. • Bullish Zone Color / Bearish Zone Color: Rectangle fills (transparent by default). Signals • Entry Fib for Signals (entryFibSel): Choose 0.3, 0.5 (default), or 0.6 as the trigger line. • Show Buy/Sell Signals (showSignals): Toggles triangle markers on/off. • One Signal Per Zone (oneSignalPerZone): If on, suppresses additional entries within the same zone after the first trigger. • Show Signal Text Labels (Bull/Bear + Fib) (showSignalLabels): Adds a small label next to each triangle showing zone bias and the fib used (e.g., BULL 0.5 or BEAR 0.3). How TFZB decides signals With trend only: • BUY 1. Latest active zone is bullish. 2. Current bar’s close is inside the zone (between top and bottom). 3. The bar’s low ≤ selected fib and it closes > selected fib (bounce). • SELL 1. Latest active zone is bearish. 2. Current bar’s close is inside the zone. 3. The bar’s high ≥ selected fib and it closes < selected fib. Markers & labels • BUY: triangle up below the bar; optional label “BULL 0.x” above it. • SELL: triangle down above the bar; optional label “BEAR 0.x” below it. Right-Panel Swing Log (Table) What it is A compact, auto-updating log of the most recent Swing High/Low events, printed in the top-right of the chart. It helps you see when a pivot formed, when it was confirmed, and at what price—so you know the earliest bar a zone-based signal could have appeared. Columns Type – Swing High or Swing Low. Date – Calendar date of the swing bar (follows the chart’s timezone). Swing @ – Time of the original swing bar (where the dot is drawn). Confirm @ – Time of the bar that confirmed that swing (≈ Structure Length × timeframe after the swing). This is also the earliest moment a new zone/entry can be considered. Price – The swing price (high for SH, low for SL). Why it’s useful Clarity on repaint/confirmation: shows the natural delay between a swing forming and being usable—no guessing. Planning & journaling: quick reference of today’s pivots and prices for notes/backtesting. Scanning intraday: glance to see if you already have a confirmed zone (and therefore valid fib-bounce entries), or if you’re still waiting. Context for signals: if a fib-bounce triangle appears before the time listed in Confirm @, it’s not a valid trade (you were too early). Settings (Inputs → Logging) Log swing times / Show table – turn the table on/off. Rows to keep – how many recent entries to display. Show labels on swing bar – optional tags on the chart (“Swing High 11:45”, “Confirm SH 14:15”) that match the table. Recommended defaults • Structure Length: 10–20 for intraday; 20–40 for swing. • Entry Fib for Signals: 0.5 to start; try 0.3 in stronger trends and 0.6 in choppier markets. • One Signal Per Zone: ON (prevents over trading). • Zone Display: Both. • Fib Lines: Keep 0.3/0.5/0.7 on; turn on 0 and 1 only if you need anchors. Alerts Two alert conditions are available: • BUY signal – fires when a with trend bullish bounce at the selected fib occurs inside a bullish zone. • SELL signal – fires when a with trend bearish bounce at the selected fib occurs inside a bearish zone. Create alerts from the chart’s Alerts panel and select the desired condition. Use Once Per Bar Close to avoid intrabar flicker. Notes & tips • Swing dots are confirmed only after Structure Length bars, so they plot back in time; zones built from these confirmed swings do not repaint (though they extend as new bars form). • If you don’t see a BUY where you expect one, check: (1) Is the active zone bullish? (2) Did the candle’s low actually pierce the selected fib and close above it? (3) Is One Signal Per Zone suppressing a second entry? • You can hide visual clutter by reducing Show Last to 1–3 while keeping Display All Zones off. Glossary • CHOCH (Change of Character): A shift where price breaks beyond the last opposite swing while local momentum flips. • BOS (Break of Structure): A cleaner break beyond the prior swing level in the current momentum direction. • MSS: Either CHOCH or BOS – any event that spawns a new zone. Extension ideas (optional) • Add fib extensions (1.272 / 1.618) for target lines. • Zone quality score using ATR normalization to filter weak impulses. • HTF filter to only accept zones aligned with a higher timeframe trend. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script®指標
由kedarcquant提供
2
RSI Momentum ScalperOverview The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking. Why I Created This Strategy I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets. How It Works The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management. Customizable Settings The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings: Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction. (Default: Both) RSI Length: Sets the lookback period for the RSI calculation (2 to 30). (Default: 8) A shorter length increases RSI sensitivity, suitable for volatile assets. RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries. (Default: 90) Higher values signal stronger overbought conditions. RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries. (Default: 10) Lower values indicate stronger oversold conditions. RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries. (Default: 14) Adjusts the sensitivity to price momentum. Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0). (Default: 1) Higher values require stronger volume confirmation. Volume MA Length: Sets the lookback period for the volume moving average (5 to 50). (Default: 13) Influences the volume trend sensitivity. Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0). (Default: 4.15) Determines when to close a winning trade. Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0). (Default: 1.85) Protects against significant losses. Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0). (Default: 2.55) Locks in profits as the price moves favorably. Visual Features Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position. Performance Table: Displays win rate, total trades, and net profit in the top-right corner. How to Use Add the strategy to your chart in TradingView. Adjust the input settings based on the cryptocurrency and timeframe you’re trading. Monitor the plotted exit levels for trade management. Use the performance table to assess the strategy’s performance over time. Notes Test the strategy on a demo account or with historical data before live trading. The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
Pine Script®策略
由MonkeyPhone提供
FSVZO | Lyro RSFSVZO | Lyro RS This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format. Understanding the Indicator's Components The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart. The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation. Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend. Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions. Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations. Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane. White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend. Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average. Suggested Use and Interpretation Traders might use this indicator in several ways: Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend. Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal. Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios. Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal. Customization Options The indicator includes settings groups that allow you to adjust its behavior and appearance: FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements. Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off. Colors: Choose from several pre-set color palettes to suit your visual preferences. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script®指標
由LyroRS提供
2
Continuation Index [DCAUT]█ Continuation Index 📊 OVERVIEW Continuation Index (CI) is an advanced trend analysis indicator developed by John F. Ehlers. This indicator provides early warning signals for trend onset, continuation, and exhaustion, with values oscillating between -1 and +1 to offer clear trend state identification for traders. Based on the article TASC 2025.09 "Trend Onset And Trend Exhaustion - The Continuation Index" by John F. Ehlers. 💡 CORE VALUE Unlike traditional trend indicators, the Continuation Index provides: - Advanced dual-filter architecture (Ultimate Smoother + Laguerre Filter) - Inverse Fisher Transform for enhanced signal-to-noise ratio - Adaptive gamma parameter allowing market-specific tuning - Binary state output (+1/-1) eliminating interpretation ambiguity 🎯 CONCEPTS Signal Interpretation CI > 0.5 : Strong bullish trend continuation - consider holding/adding long positions CI = +1 : Maximum bullish signal - strong uptrend in progress CI < -0.5 : Strong bearish trend continuation - consider holding/adding short positions CI = -1 : Maximum bearish signal - strong downtrend in progress CI near 0 : Neutral zone - trend uncertain, wait for clear signals Brief pullbacks from extreme states : Potential reentry opportunities in trend direction Primary Applications Trend Onset Detection : Early warning signals for trend initiation Trend Exhaustion Signals : Identify potential trend reversals Position Management : Clear binary states for entry/exit decisions Market Timing : Adaptive filtering reduces false signals 📋 PARAMETER SETUP Source : Data source for calculation (default: close) Length : The calculation length for the filters (default: 40, min: 1) Gamma : Controls the phase response of the Laguerre filter. Smaller values increase responsiveness (default: 0.8, range: 0.0-1.0) Laguerre Order : The order of the Laguerre filter, which directly affects its lag (default: 8, range: 1-10) 📊 COLOR CODING Green : CI > 0.5 - Bullish trend continuation Red : CI < -0.5 - Bearish trend continuation Gray : Neutral zone - Trend unclear
Pine Script®指標
由DCAUT提供
Market Pressure Oscillator█ OVERVIEW The Market Pressure Oscillator is an advanced technical indicator for TradingView, enabling traders to identify potential trend reversals and momentum shifts through candle-based pressure analysis and divergence detection. It combines a smoothed oscillator with moving average signals, overbought/oversold levels, and divergence visualization, enhanced by customizable gradients, dynamic band colors, and alerts for quick decision-making. █ CONCEPT The indicator measures buying or selling pressure based on candle body size (open-to-close difference) and direction, with optional smoothing for clarity and divergence detection between price action and the oscillator. It relies solely on candle data, offering insights into trend strength, overbought/oversold conditions, and potential reversals with a customizable visual presentation. █ WHY USE IT? - Divergence Detection: Identifies bullish and bearish divergences to reinforce signals, especially near overbought/oversold zones. - Candle Pressure Analysis: Measures pressure based on candle body size, normalized to a ±100 scale. - Signal Generation: Provides buy/sell signals via overbought/oversold crossovers, zero-line crossovers, moving average zero-line crossovers, and dynamic band color changes. - Visual Clarity: Uses dynamic colors, gradients, and fill layers for intuitive chart analysis. Flexibility: Extensive settings allow customization to individual trading preferences. █ HOW IT WORKS? - Candle Pressure Calculation: Computes candle body size as math.abs(close - open), normalized against the average body size over a lookback period (avgBody = ta.sma(body, len)). - Candle direction (bullish: +1, bearish: -1, neutral: 0) is multiplied by body weight to derive pressure. - Cumulative Pressure: Sums pressure values over the lookback period (Lookback Length) and normalizes to ±100 relative to the maximum possible value. - Smoothing: Optionally applies EMA (Smoothing Length) to normalized pressure. - Moving Average: Calculates SMA (Moving Average Length) for trend confirmation (Moving Average (SMA)). - Divergence Detection: Identifies bullish/bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). Divergence signals appear with a delay equal to the Pivot Length. - Signals: Generates signals for: Crossing oversold upward (buy) or overbought downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels, enhancing signals, especially near overbought/oversold zones. Dynamic band color changes when the moving average crosses MA overbought/oversold thresholds (green for oversold, red for overbought). - Visualization: Plots the oscillator and moving average with dynamic colors, gradient fills, transparent bands, and labels, with customizable overbought/oversold levels. Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero-line crossovers (oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Lookback Length: Period for aggregating candle pressure (default: 14). - Smoothing Length (EMA): EMA length for smoothing the oscillator (default: 1). Higher values smooth the signal but may reduce signal frequency; adjust overbought/oversold levels accordingly. - Moving Average Length (SMA): SMA length for the moving average (default: 14, minval=1). Higher values make SMA a trend indicator, requiring adjusted MA overbought/oversold levels. - Pivot Length (Left/Right): Candles for detecting pivot highs/lows in divergence calculations (default: 2, minval=1). Higher values reduce noise but add delay equal to the set value. - Enable Divergence Detection: Enables divergence detection (default: true). - Overbought/Oversold Levels: Thresholds for the oscillator (default: 30/-30) and moving average (default: 10/-10). For the moving average, no arrows appear; bands change color from gray to green (oversold) or red (overbought), reinforcing entry signals. - Signal Type: Select signals to display: "None", "Overbought/Oversold", "Zero Line", "MA Zero Line", "All" (default: "Overbought/Oversold"). - Colors and Gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70, minval=0, maxval=100) and band/label transparency (default: 40, minval=0, maxval=100) for consistent visuals. - Visualizations: Enable/disable moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum Analysis: Observe the MPO Oscillator above 0 for bullish momentum or below 0 for bearish momentum. The SMA, being smoother, reacts slower and can confirm trend direction as a noise filter. - Reversal Signals: Look for buy triangles when the oscillator crosses oversold upward, especially when the SMA is below the MA oversold threshold and the band turns green. Similarly, seek sell triangles when crossing overbought downward, with the SMA above the MA overbought threshold and the band turning red. - Using Divergences: Treat bullish (green labels) and bearish (red labels) divergences as reinforcement for other signals, especially near overbought/oversold zones, indicating stronger potential trend reversals. - Customization: Adjust lookback length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ USER NOTES Combine the indicator with tools like Fibonacci levels or pivot points to enhance accuracy. Test different settings for lookback length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Pine Script®指標
由Uncle_the_shooter提供
EvoTrend-X Indicator — Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator — Evolutionary Trend Learner NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasn’t the original research language, so there may be small quirks—your feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter. ⸻ What it is EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small “population” of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout. Core outputs • Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning) • Spread cross (Fast – Slow) → visual BUY/SELL markers + alert hooks • Confidence % (0–100): Fitness ⊕ Distance vs. ATR ⊕ MTF agreement • Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional) • Candidate Fitness Ribbon: shows which lengths the learner currently prefers • Export plot: hidden series “EvoTrend-X Export (spread)” for downstream use ⸻ Why it’s different • Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair. • Confidence gate: Signals don’t light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend. • Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your “why no signal?” answer is always visible in the STATUS. • Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one. • Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls. ⸻ Presets (and what they do) • FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings. • FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions. • Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves. • Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise. • Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets. ⸻ How the learning works (at a glance) 1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast × multiplier (default ×2.0). 2. Reward/decay: If price change and the candidate’s Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past. 3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair. 4. Signal engine: Crosses of the spread (Fast − Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them. ⸻ Controls & what they mean Learning / Regime • Slow length = Fast ×: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws. • ER length / threshold: Kaufman Efficiency Ratio; above threshold = “Trending” background. • Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten. Confidence / Volatility gate • Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency. • ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier. • Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% → status shows BLOCK: low vola. MTF Trend Filter • Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone. 2) FX index/majors, 15m (active intraday) • Preset: FX 15m (Active). • Gate: MinConf 60–70; Min ATR% 0.15–0.30. • Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appear—good early warning. 3) SPY / Index futures, 1D (positioning) • Preset: Equities 1D. • Gate: MinConf 55–65; Min ATR% 0.05–0.12. • Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars. 4) BTCUSD, 1H (24/7) • Preset: Crypto 1H. • Gate: MinConf 70–80; Min ATR% 0.20–0.35. • Flow: Crypto chops—volatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down. ⸻ Reading the Info Panel (and fixing “no signals”) The panel is your self-diagnostic: • HTF OK? False means the higher-timeframe EMAs disagree with your intended side. • Regime: If “Chop”, ER < threshold. Consider raising the threshold or waiting. • Confidence: Heat-colored; if below MinConf, the gate blocks signals. • ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola. • STATUS (composite): • BLOCK: low vola → increase Min ATR% down (i.e., allow lower vol) or wait for expansion. • BLOCK: HTF filter → disable HTF or align with the HTF tide. • BLOCK: confidence → lower MinConf slightly or wait for stronger alignment. • OK → you’ll see markers on valid crosses. ⸻ Alerts Two static alert hooks: • BUY cross — spread crosses up and all gates (ER, Vol, MTF, Confidence) are open. • SELL cross — mirror of the above. Create them once from “Add Alert” → choose the condition by name. ⸻ Exporting to other scripts In your other Pine indicators/strategies, add an input.source and select EvoTrend-X → “EvoTrend-X Export (spread)”. Common uses: • Build a rule: only trade when exported spread > 0 (trend filter). • Combine with your oscillator: oscillator oversold and spread > 0 → buy bias. ⸻ Best practices • Let it learn: Keep Learning step moderate (0.4–0.6) and Decay close to 1.0 (e.g., 0.99–0.997) for smooth regime memory. • Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H ≈ 0.10–0.20; crypto 1H ≈ 0.20–0.35; equities 1D ≈ 0.05–0.12. • MTF discipline: HTF filter removes lots of “almost” trades. If you prefer aggressive entries, turn it off and rely more on Confidence. • Confidence as throttle: • 40–60%: exploratory; expect more signals. • 60–75%: balanced; good daily driver. • 75–90%: selective; catch the clean stuff. • 90–100%: only A-setups; patient mode. • Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, you’re in a slower trend cycle. ⸻ Non-repainting & safety notes • All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on. • No forward references; decisions rely on confirmed bar data. • EMA lengths are simple ints (no series-length errors). • Confidence components are computed every bar (no conditional ta.* traps). ⸻ Limitations & tips • Chop happens: ER helps, but sideways microstructure can still flicker—use Confidence + Vol filter as brakes. • Presets ≠ oracle: They’re sensible baselines; always tune MinConf and Min ATR% to your venue and session. • Theme “Auto”: Pine cannot read chart theme; “Auto” defaults to a Dark-friendly palette. ⸻ Publisher’s Screenshots Checklist 1) FX swing — EURUSD 1H • Preset: FX 1H (Conservative) • Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50) • Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible. 2) FX intraday — GBPUSD 15m • Preset: FX 15m (Active) • Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m) • Show: SELL cross near London session open. HTF lines enabled (translucent). • Caption: “GBPUSD 15m • Active session sell with MTF alignment.” 3) Indices — SPY 1D • Preset: Equities 1D • Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50) • Show: Longer trend run after BUY cross; regime shading shows persistence. • Caption: “SPY 1D • Trend run after BUY cross; weekly filter aligned.” 4) Crypto — BINANCE:BTCUSDT 1H • Preset: Crypto 1H • Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H) • Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows → greens). • Caption: “BTCUSDT 1H • Momentum break with high confidence and ribbon turning.”
Pine Script®指標
由ACTradeFIN提供
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders What it is BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change. Use it to: • Detect emerging trends sooner without overreacting to noise. • Filter mean-reversion vs continuation opportunities. • Gate entries with a confidence score that reflects both strength and persistence of the move. • Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself. ⸻ Why it’s different • Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade. • Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter. • Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each. • No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references. • Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed. ⸻ What you see on the chart • Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious. • Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise. • Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence. • Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45). • Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics. ⸻ How it works (under the hood) 1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules). 2. Per-bin features (computed every bar): • RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1. • Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift). 3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0. 4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies. 5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA. Why it doesn’t repaint: • No future references, no MTF resampling, fitness updates only on confirmed bars. • All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally. ⸻ Signals & confidence • Bullish bias: consensus ≥ bullThr (e.g., 55). • Bearish bias: consensus ≤ bearThr (e.g., 45). • Confidence (0–100): • Distance score: how far consensus is from 50. • Momentum score: how strong the recent change is versus its recent average. • Combined into a single gate; start filtering entries at ≥60 for higher quality. Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45. ⸻ Inputs you’ll actually tune • Agents & horizons: • N_agents (e.g., 64–128) • lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing) • numBins (e.g., 12–24) • Weights & smoothing: • wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto) • deadBand (0.03–0.08) • consSmooth (3–8) • Thresholds & hygiene: • bullThr/bearThr (55/45 default) • cooldownBars to avoid signal spam ⸻ Playbooks (ready-to-use) 1) Breakout / Trend continuation • Timeframe: 15m–1h for day/swing. • Filter: Take longs only when consensus > 55 and confidence ≥ 60. • Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints. 2) Mean reversion (fade) • When: Sideways days or low-volatility clusters. • Setup: Increase deadBand and consSmooth. • Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50. • Targets: The neutral zone (~50) as the first take-profit. 3) Multi-TF alignment • Keep BioSwarm on 1H for bias, execute on 5–15m: • Only take entries in the direction of the 1H consensus. • Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan). ⸻ Integrations that work • DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree. • ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short). • Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers. ⸻ Quick start 1. Drop the indicator on a 1H chart. 2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45. 3. Trade only when confidence ≥ 60. 4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits. ⸻ Non-repainting & safety notes • No request.security(); no hidden lookahead. • Bar-close confirmation for fitness and signals. • All TA calls are unconditional (no “sometimes called” warnings). • No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin. ⸻ Known limits & tips • Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40. • Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47. • Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96). • Compute load: Large N_agents × numBins is heavier; scale to your device. ⸻ Example recipes EURUSD 1H (swing): lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45 Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level. SPY 15m (US session): lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05 On trend days, stay with longs as long as consensus >55; add on shallow pullbacks. BTC 1H (24/7): Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals. ⸻ Final word BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Pine Script®指標
由ACTradeFIN提供
Scenario Screener — Consolidation → Bullish SetupThe script combines multiple indicators to filter out false signals and only highlight strong conditions: Consolidation Check Uses ATR % of price → filters out stocks in tight ranges. Uses Choppiness Index → confirms sideways/non-trending behavior. Momentum Shift (Bullish Bias) MACD Histogram > 0 → bullish momentum starting. RSI between 55–70 → strength without being overbought. Stochastic %K & %D > 70 → confirms strong momentum. Volume & Accumulation Chaikin Money Flow (CMF > 0) → buying pressure. Chaikin Oscillator > 0 (debug only) → accumulation phase. Trend Direction +DI > -DI (from DMI) → buyers stronger than sellers. ADX between 18–40 → healthy trend strength (not too weak, not overheated). Breakout Filter (Optional) If enabled, requires price to cross above 20 SMA before signal confirmation. 📈 Outputs ✅ Green label (“MATCH”) below the bar when all bullish conditions align. ✅ Background highlight (light green) when signal appears. ✅ Info Table (top-right) summarizing key values: Signal = True/False MACD, CMF, Chaikin values
Pine Script®指標
由vaibhavchotaliya1990提供
The Maker StrategyDESCRIPTION The Maker Strategy is a trend-following system built around exponential moving averages (EMAs). By analyzing the alignment of multiple EMAs, the strategy identifies strong bullish or bearish momentum and generates precise entry signals. This method is designed to capture sustained trends while filtering out sideways or noisy market conditions. USER INPUTS : • EMA 1 Length (Default: 30) • EMA 2 Length (Default: 35) • EMA 3 Length (Default: 40) • EMA 4 Length (Default: 45) • EMA 5 Length (Default: 50) • EMA 6 Length (Default: 60) LONG CONDITION : A long signal is triggered when all EMAs are perfectly aligned in ascending order: EMA1 > EMA2 > EMA3 > EMA4 > EMA5 > EMA6 SHORT CONDITION : A short signal is triggered when all EMAs are perfectly aligned in descending order: EMA1 < EMA2 < EMA3 < EMA4 < EMA5 < EMA6 WHY IT IS UNIQUE: Unlike traditional EMA crossover systems that rely on just 2 or 3 moving averages, The Maker Strategy uses 6 EMAs in sequence. This ensures that trades are only taken when there is clear and strong market momentum. The approach minimizes false signals in ranging markets and focuses on capturing trends with higher probability setups. HOW USER CAN BENEFIT FROM IT : • Clear entry alerts for both long and short positions. • Visual confirmation through candle coloring and EMA band fills. • Works on multiple timeframes and instruments (stocks, forex, crypto, indices). • Helps traders stay on the right side of the trend while avoiding whipsaws. • A simple yet effective tool for those who want a disciplined, rules-based strategy.
Pine Script®指標
由Shivam_Mandrai提供
2
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO) This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax. The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously. This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity. The Core Concept: Context Meets Trigger The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum. The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite. The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces. By themselves, they are useful. Together, they are formidable. The Confluence Engine: Your Visual Edge The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity. Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high. Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level. When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution. Practical Application: The Liquidity Sweep Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops. Is this a real breakout, or is it a manipulation move—a classic liquidity grab? You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move. This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness. Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
Pine Script®指標
由rick84etter提供
Swing Oracle Stock 2.0- Gradient Enhanced# 🌈 Swing Oracle Pro - Advanced Gradient Trading Indicator **Transform your technical analysis with stunning gradient visualizations that make market trends instantly recognizable.** ## 🚀 **What Makes This Indicator Special?** The **Swing Oracle Pro** revolutionizes traditional technical analysis by combining advanced NDOS (Normalized Distance from Origin of Source) calculations with a sophisticated gradient color system. This isn't just another indicator—it's a complete visual trading experience that adapts colors based on market strength, making trend identification effortless and intuitive. ## 🎨 **10 Professional Gradient Themes** Choose from carefully crafted color schemes designed for optimal visual clarity: - **🌅 Sunset** - Warm oranges and purples for classic elegance - **🌊 Ocean** - Cool blues and teals for calm analysis - **🌲 Forest** - Natural greens and browns for organic feel - **✨ Aurora** - Ethereal greens and magentas for mystique - **⚡ Neon** - Vibrant electric colors for high-energy trading - **🌌 Galaxy** - Deep purples and cosmic hues for night sessions - **🔥 Fire** - Intense reds and golds for volatile markets - **❄️ Ice** - Cool whites and blues for clear-headed decisions - **🌈 Rainbow** - Full spectrum for comprehensive analysis - **⚫ Monochrome** - Professional grays for focused trading ## 📊 **Core Features** ### **Advanced NDOS System** - Normalized Distance from Origin of Source calculation with 231-period length - Smoothed with customizable EMA for reduced noise - Multi-timeframe confirmation with H1 filter option - Dynamic gradient coloring based on oscillator position ### **Intelligent Visual Feedback** - **Primary Gradient Line** - Main NDOS plot with dynamic color transitions - **Gradient Fill Zones** - Beautiful color-coded areas for bullish, neutral, and bearish regions - **Smart Transparency** - Colors adjust intensity based on market volatility - **Dynamic Backgrounds** - Subtle gradient backgrounds that respond to market conditions ### **Enhanced EMA Projection System** - 75/760 period EMA normalization with 50-period lookback - Gradient-colored projection line for trend forecasting - Toggleable display with advanced gradient controls - Price tracking for precise level identification ### **Multi-Timeframe Analysis Table** - Real-time trend analysis across 6 timeframes (1m, 3m, 5m, 15m, 1H, 4H) - Gradient-colored cells showing trend strength - Customizable table size and position - Professional emoji indicators (🚀 UP, 📉 DOWN, ➡️ FLAT) ### **Signal System** - **Gradient Buy Signals** - Triangle up arrows with intensity-based coloring - **Gradient Sell Signals** - Triangle down arrows with strength indicators - **Alert Conditions** - Built-in alerts for all signal types - **7-Day Cycle Tracking** - Tuesday-to-Tuesday weekly cycle visualization ## ⚙️ **Customization Controls** ### **🎨 Gradient Controls** - **Gradient Intensity** - Adjust color vibrancy (0.1-1.0) - **Gradient Smoothing** - Control color transition smoothness (1-10 periods) - **Dynamic Background** - Toggle animated background gradients - **Advanced Gradients** - Enable/disable EMA projection and enhanced features ### **🛠️ Custom Color System** - **Bullish Colors** - Define custom start/end colors for bull markets - **Bearish Colors** - Set personalized bear market gradients - **Full Theme Override** - Create completely custom color schemes - **Real-time Preview** - See changes instantly on your chart ## 📈 **How to Use** 1. **Choose Your Theme** - Select from 10 professional gradient themes 2. **Configure Levels** - Adjust high/low levels (default 60/40) for your timeframe 3. **Set Smoothing** - Fine-tune gradient smoothing for your trading style 4. **Enable Features** - Toggle background gradients, candlestick coloring, and advanced EMA projection 5. **Monitor Signals** - Watch for gradient buy/sell arrows and multi-timeframe confirmations ## 🎯 **Trading Applications** - **Swing Trading** - Perfect for identifying medium-term trend changes - **Scalping** - Multi-timeframe table provides quick trend confirmation - **Position Sizing** - Gradient intensity shows signal strength for risk management - **Market Analysis** - Beautiful visualizations make complex data instantly understandable - **Education** - Ideal for learning market dynamics through visual feedback ## ⚡ **Performance Optimized** - **Smart Rendering** - Colors update only on significant changes - **Efficient Calculations** - Optimized algorithms for smooth performance - **Memory Management** - Minimal resource usage even with complex gradients - **Real-time Updates** - Responsive to market changes without lag ## 🚨 **Alert System** Built-in alert conditions notify you when: - NDOS crosses above high level (Buy Signal) - NDOS crosses below low level (Sell Signal) - Multi-timeframe confirmations align - Customizable alert messages with emoji indicators ## 🔧 **Technical Specifications** - **PineScript Version**: v6 (Latest) - **Overlay**: True (plots on main chart) - **Calculations**: NDOS, EMA normalization, volatility-based transparency - **Timeframes**: Compatible with all timeframes - **Markets**: Stocks, Forex, Crypto, Commodities, Indices ## 💡 **Why Choose Swing Oracle Pro?** This isn't just another technical indicator—it's a complete visual transformation of your trading experience. The gradient system provides instant visual feedback that traditional indicators simply can't match. Whether you're a beginner learning to read market trends or an experienced trader seeking clearer signals, the Swing Oracle Pro delivers professional-grade analysis with unprecedented visual clarity. **Experience the future of technical analysis. Your charts will never look the same.** --- *⚠️ Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and consider risk management before making trading decisions.* **🔔 Like this indicator? Please leave a comment and boost! Your feedback helps improve future updates.** --- **📝 Tags:** #GradientTrading #SwingTrading #NDOS #MultiTimeframe #TechnicalAnalysis #VisualTrading #TrendAnalysis #ColorCoded #ProfessionalCharts #TradingToo
Pine Script®指標
由FollowtheWhiteRabbitz提供
Small-Cap — Sell Every Spike (Rendon1) Small-Cap — Sell Every Spike v6 — Strict, No Look-Ahead Educational use only. This is not financial advice or a signal service. This strategy targets low/ mid-float runners (≤ ~20M) that make parabolic spikes. It shorts qualified spikes and scales out into flushes. Logic is deliberately simple and transparent to avoid curve-fit. What the strategy does Detects a parabolic up move using: Fast ROC over N bars Big range vs ATR Volume spike vs SMA Fresh higher high (no stale spikes) Enters short at bar close when conditions are met (no same-bar fills). Manages exits with ATR targets and optional % covers. Tracks float rotation intraday (manual float input) and blocks trades above a hard limit. Draws daily spike-high resistance from confirmed daily bars (no repaint / no look-ahead). Timeframes & market Designed for 1–5 minute charts. Intended for US small-caps; turn Premarket on. Works intraday; avoid illiquid tickers or names with constant halts. Entry, Exit, Risk (short side) Entry: parabolic spike (ROC + Range≥ATR×K + Vol≥SMA×K, new HH). Optional confirmations (OFF by default to “sell every spike”): upper-wick and VWAP cross-down. Stop: ATR stop above entry (default 1.2× ATR). Targets: TP1 = 1.0× ATR, TP2 = 2.0× ATR + optional 10/20/30% covers. Safety: skip trades if RVOL is low or Float Rotation exceeds your limit (default warn 5×, hard 7×). Inputs (Balanced defaults) Price band: $2–$10 Float Shares: set per ticker (from Finviz). RVOL(50) ≥ 1.5× ROC(5) ≥ 1.0%, Range ≥ 1.6× ATR, Vol ≥ 1.8× SMA Cooldown: 10 bars; Max trades/day: 6 Optional: Require wick (≥35%) and/or Require VWAP cross-down. Presets suggestion: • Balanced (defaults above) • Safer: wick+VWAP ON, Range≥1.8×, trades/day 3–4 • Micro-float (<5M): ROC 1.4–1.8%, Range≥1.9–2.2×, Vol≥2.2×, RVOL≥2.0, wick 40–50% No look-ahead / repaint notes Daily spike-highs use request.security(..., lookahead_off) and shifted → only closed daily bars. Orders arm next bar after entry; entries execute at bar close. VWAP/ATR/ROC/Vol/RVOL are computed on the chart timeframe (no HTF peeking). How to use Build a watchlist: Float <20M, RelVol >2, Today +20% (Finviz). Open 1–5m chart, enter Float Shares for the ticker. Start with Balanced, flip to Safer on halty/SSR names or repeated VWAP reclaims. Scale out into flushes; respect the stop and rotation guard. Limitations & risk Backtests on small-caps can be optimistic due to slippage, spreads, halts, SSR, and limited premarket data. Always use conservative sizing. Low-float stocks can squeeze violently. Alerts Parabolic UP (candidate short) SHORT Armed (conditions met; entry at bar close)
Pine Script®策略
由Rendon1提供
Short Sellingell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish. Strong sell signal confirmed on 5-minute higher timeframe with same conditions. Square off half/full signals as defined. Target lines drawn bold based on previous swing lows and extended as described. Blue candle color when RSI below 30. One sell and one full square off per cycle, blocking repeated sells until full square off.
Pine Script®指標
由AkshayShah99提供
Profit booking Indicatorell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish. Strong sell signal confirmed on 5-minute higher timeframe with same conditions. Square off half/full signals as defined. Target lines drawn bold based on previous swing lows and extended as described. Blue candle color when RSI below 30. One sell and one full square off per cycle, blocking repeated sells until full square off.
Pine Script®指標
由AkshayShah99提供
KT_Global Bond Yields by CountryGlobal Bond Yields Indicator Summary The Global Bond Yields by Country indicator, developed for Trading View (Pine Script v5), provides a comprehensive tool for visualizing and analyzing government bond yields across multiple countries and maturities. Below are its key features: Features Country Selection: Choose from 20 countries, including the United States, China, Japan, Germany, United Kingdom, and more, to display their respective bond yields. Multiple Maturities: Supports 18 bond maturities ranging from 1 month to 40 years, allowing users to analyze short-term to long-term yield trends. Customizable Display: Toggle visibility for each maturity (1M, 3M, 6M, 1Y, 2Y, 3Y, 4Y, 5Y, 6Y, 7Y, 8Y, 9Y, 10Y, 15Y, 20Y, 25Y, 30Y, 40Y) individually. Option to show or hide all maturities with a single toggle for streamlined analysis. 10Y-2Y Yield Spread: Plots the difference between 10-year and 2-year bond yields, a key indicator of yield curve dynamics, with an option to enable/disable. Zero Line Reference: Displays a dashed grey horizontal line at zero for clear visual reference. Color-Coded Plots: Each maturity is plotted with a distinct color, ranging from lighter shades (short-term) to darker shades (long-term), for easy differentiation. Country Label: Displays the selected country's name as a large, prominent label on the chart for quick identification. Error Handling: Alerts users if an invalid country is selected, ensuring robust operation. Data Integration: Fetches bond yield data from Trading View's database (e.g., TVC:US10Y) with support for ignoring invalid symbols to prevent errors. This indicator is ideal for traders and analysts monitoring global fixed-income markets, yield curve shapes, and cross-country comparisons.
Pine Script®指標
由riskninjaz提供
Bar Index & TimeLibrary to convert a bar index to a timestamp and vice versa. Utilizes runtime memory to store the 𝚝𝚒𝚖𝚎 and 𝚝𝚒𝚖𝚎_𝚌𝚕𝚘𝚜𝚎 values of every bar on the chart (and optional future bars), with the ability of storing additional custom values for every chart bar. █  PREFACE This library aims to tackle some problems that pine coders (from beginners to advanced) often come across, such as: I'm trying to draw an object with a 𝚋𝚊𝚛_𝚒𝚗𝚍𝚎𝚡 that is more than 10,000 bars into the past, but this causes my script to fail. How can I convert the 𝚋𝚊𝚛_𝚒𝚗𝚍𝚎𝚡 to a UNIX time so that I can draw visuals using xloc.bar_time ? I have a diagonal line drawing and I want to get the "y" value at a specific time, but line.get_price() only accepts a bar index value. How can I convert the timestamp into a bar index value so that I can still use this function? I want to get a previous 𝚘𝚙𝚎𝚗 value that occurred at a specific timestamp. How can I convert the timestamp into a historical offset so that I can use 𝚘𝚙𝚎𝚗 ? I want to reference a very old value for a variable. How can I access a previous value that is older than the maximum historical buffer size of 𝚟𝚊𝚛𝚒𝚊𝚋𝚕𝚎 ? This library can solve the above problems (and many more) with the addition of a few lines of code, rather than requiring the coder to refactor their script to accommodate the limitations. █  OVERVIEW The core functionality provided is conversion between xloc.bar_index and xloc.bar_time values. The main component of the library is the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object, created via the 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() function which basically stores the 𝚝𝚒𝚖𝚎 and 𝚝𝚒𝚖𝚎_𝚌𝚕𝚘𝚜𝚎 of every bar on the chart, and there are 3 more overloads to this function that allow collecting and storing additional data. Once a 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object is created, use any of the exported methods: Methods to convert a UNIX timestamp into a bar index or bar offset: 𝚝𝚒𝚖𝚎𝚜𝚝𝚊𝚖𝚙𝚃𝚘𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡(), 𝚐𝚎𝚝𝙽𝚞𝚖𝚋𝚎𝚛𝙾𝚏𝙱𝚊𝚛𝚜𝙱𝚊𝚌𝚔() Methods to retrieve the stored data for a bar index: 𝚝𝚒𝚖𝚎𝙰𝚝𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡(), 𝚝𝚒𝚖𝚎𝙲𝚕𝚘𝚜𝚎𝙰𝚝𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡(), 𝚟𝚊𝚕𝚞𝚎𝙰𝚝𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡(), 𝚐𝚎𝚝𝙰𝚕𝚕𝚅𝚊𝚛𝚒𝚊𝚋𝚕𝚎𝚜𝙰𝚝𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡() Methods to retrieve the stored data at a number of bars back (i.e., historical offset): 𝚝𝚒𝚖𝚎(), 𝚝𝚒𝚖𝚎𝙲𝚕𝚘𝚜𝚎(), 𝚟𝚊𝚕𝚞𝚎() Methods to retrieve all the data points from the earliest bar (or latest bar) stored in memory, which can be useful for debugging purposes: 𝚐𝚎𝚝𝙴𝚊𝚛𝚕𝚒𝚎𝚜𝚝𝚂𝚝𝚘𝚛𝚎𝚍𝙳𝚊𝚝𝚊(), 𝚐𝚎𝚝𝙻𝚊𝚝𝚎𝚜𝚝𝚂𝚝𝚘𝚛𝚎𝚍𝙳𝚊𝚝𝚊() Note: the library's strong suit is referencing data from very old bars in the past, which is especially useful for scripts that perform its necessary calculations only on the last bar. █  USAGE Step 1 Import the library. Replace with the latest available version number for this library. //@version=6 indicator("Usage") import n00btraders/ChartData/ Step 2 Create a 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object to collect data on every bar. Do not declare as `var` or `varip`. chartData = ChartData.collectChartData() // call on every bar to accumulate the necessary data Step 3 Call any method(s) on the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object. Do not modify its fields directly. if barstate.islast int firstBarTime = chartData.timeAtBarIndex(0) int lastBarTime = chartData.time(0) log.info("First `time`: " + str.format_time(firstBarTime) + ", Last `time`: " + str.format_time(lastBarTime)) █  EXAMPLES • Collect Future Times The overloaded 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() functions that accept a 𝚋𝚊𝚛𝚜𝙵𝚘𝚛𝚠𝚊𝚛𝚍 argument can additionally store time values for up to 500 bars into the future. //@version=6 indicator("Example `collectChartData(barsForward)`") import n00btraders/ChartData/1 chartData = ChartData.collectChartData(barsForward = 500) var rectangle = box.new(na, na, na, na, xloc = xloc.bar_time, force_overlay = true) if barstate.islast int futureTime = chartData.timeAtBarIndex(bar_index + 100) int lastBarTime = time box.set_lefttop(rectangle, lastBarTime, open) box.set_rightbottom(rectangle, futureTime, close) box.set_text(rectangle, "Extending box 100 bars to the right. Time: " + str.format_time(futureTime)) • Collect Custom Data The overloaded 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() functions that accept a 𝚟𝚊𝚛𝚒𝚊𝚋𝚕𝚎𝚜 argument can additionally store custom user-specified values for every bar on the chart. //@version=6 indicator("Example `collectChartData(variables)`") import n00btraders/ChartData/1 var map variables = map.new() variables.put("open", open) variables.put("close", close) variables.put("open-close midpoint", (open + close) / 2) variables.put("boolean", open > close ? 1 : 0) chartData = ChartData.collectChartData(variables = variables) var fgColor = chart.fg_color var table1 = table.new(position.top_right, 2, 9, color(na), fgColor, 1, fgColor, 1, true) var table2 = table.new(position.bottom_right, 2, 9, color(na), fgColor, 1, fgColor, 1, true) if barstate.isfirst table.cell(table1, 0, 0, "ChartData.value()", text_color = fgColor) table.cell(table2, 0, 0, "open ", text_color = fgColor) table.merge_cells(table1, 0, 0, 1, 0) table.merge_cells(table2, 0, 0, 1, 0) for i = 1 to 8 table.cell(table1, 0, i, text_color = fgColor, text_halign = text.align_left, text_font_family = font.family_monospace) table.cell(table2, 0, i, text_color = fgColor, text_halign = text.align_left, text_font_family = font.family_monospace) table.cell(table1, 1, i, text_color = fgColor) table.cell(table2, 1, i, text_color = fgColor) if barstate.islast for i = 1 to 8 float open1 = chartData.value("open", 5000 * i) float open2 = i < 3 ? open : -1 table.cell_set_text(table1, 0, i, "chartData.value(\"open\", " + str.tostring(5000 * i) + "): ") table.cell_set_text(table2, 0, i, "open : ") table.cell_set_text(table1, 1, i, str.tostring(open1)) table.cell_set_text(table2, 1, i, open2 >= 0 ? str.tostring(open2) : "Error") • xloc.bar_index → xloc.bar_time The 𝚝𝚒𝚖𝚎 value (or 𝚝𝚒𝚖𝚎_𝚌𝚕𝚘𝚜𝚎 value) can be retrieved for any bar index that is stored in memory by the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object. //@version=6 indicator("Example `timeAtBarIndex()`") import n00btraders/ChartData/1 chartData = ChartData.collectChartData() if barstate.islast int start = bar_index - 15000 int end = bar_index - 100 // line.new(start, close, end, close) // !ERROR - `start` value is too far from current bar index start := chartData.timeAtBarIndex(start) end := chartData.timeAtBarIndex(end) line.new(start, close, end, close, xloc.bar_time, width = 10) • xloc.bar_time → xloc.bar_index Use 𝚝𝚒𝚖𝚎𝚜𝚝𝚊𝚖𝚙𝚃𝚘𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡() to find the bar that a timestamp belongs to. If the timestamp falls in between the close of one bar and the open of the next bar, the 𝚜𝚗𝚊𝚙 parameter can be used to determine which bar to choose: 𝚂𝚗𝚊𝚙.𝙻𝙴𝙵𝚃 - prefer to choose the leftmost bar (typically used for closing times) 𝚂𝚗𝚊𝚙.𝚁𝙸𝙶𝙷𝚃 - prefer to choose the rightmost bar (typically used for opening times) 𝚂𝚗𝚊𝚙.𝙳𝙴𝙵𝙰𝚄𝙻𝚃 (or 𝚗𝚊) - copies the same behavior as xloc.bar_time uses for drawing objects //@version=6 indicator("Example `timestampToBarIndex()`") import n00btraders/ChartData/1 startTimeInput = input.time(timestamp("01 Aug 2025 08:30 -0500"), "Session Start Time") endTimeInput = input.time(timestamp("01 Aug 2025 15:15 -0500"), "Session End Time") chartData = ChartData.collectChartData() if barstate.islastconfirmedhistory int startBarIndex = chartData.timestampToBarIndex(startTimeInput, ChartData.Snap.RIGHT) int endBarIndex = chartData.timestampToBarIndex(endTimeInput, ChartData.Snap.LEFT) line1 = line.new(startBarIndex, 0, startBarIndex, 1, extend = extend.both, color = color.new(color.green, 60), force_overlay = true) line2 = line.new(endBarIndex, 0, endBarIndex, 1, extend = extend.both, color = color.new(color.green, 60), force_overlay = true) linefill.new(line1, line2, color.new(color.green, 90)) // using Snap.DEFAULT to show that it is equivalent to drawing lines using `xloc.bar_time` (i.e., it aligns to the same bars) startBarIndex := chartData.timestampToBarIndex(startTimeInput) endBarIndex := chartData.timestampToBarIndex(endTimeInput) line.new(startBarIndex, 0, startBarIndex, 1, extend = extend.both, color = color.yellow, width = 3) line.new(endBarIndex, 0, endBarIndex, 1, extend = extend.both, color = color.yellow, width = 3) line.new(startTimeInput, 0, startTimeInput, 1, xloc.bar_time, extend.both, color.new(color.blue, 85), width = 11) line.new(endTimeInput, 0, endTimeInput, 1, xloc.bar_time, extend.both, color.new(color.blue, 85), width = 11) • Get Price of Line at Timestamp The pine script built-in function line.get_price() requires working with bar index values. To get the price of a line in terms of a timestamp, convert the timestamp into a bar index or offset. //@version=6 indicator("Example `line.get_price()` at timestamp") import n00btraders/ChartData/1 lineStartInput = input.time(timestamp("01 Aug 2025 08:30 -0500"), "Line Start") chartData = ChartData.collectChartData() var diagonal = line.new(na, na, na, na, force_overlay = true) if time <= lineStartInput line.set_xy1(diagonal, bar_index, open) if barstate.islastconfirmedhistory line.set_xy2(diagonal, bar_index, close) if barstate.islast int timeOneWeekAgo = timenow - (7 * timeframe.in_seconds("1D") * 1000) // Note: could also use `timetampToBarIndex(timeOneWeekAgo, Snap.DEFAULT)` and pass the value directly to `line.get_price()` int barsOneWeekAgo = chartData.getNumberOfBarsBack(timeOneWeekAgo) float price = line.get_price(diagonal, bar_index - barsOneWeekAgo) string formatString = "Time 1 week ago: {0,number,#}\n - Equivalent to {1} bars ago\n\n𝚕𝚒𝚗𝚎.𝚐𝚎𝚝_𝚙𝚛𝚒𝚌𝚎(): {2,number,#.##}" string labelText = str.format(formatString, timeOneWeekAgo, barsOneWeekAgo, price) label.new(timeOneWeekAgo, price, labelText, xloc.bar_time, style = label.style_label_lower_right, size = 16, textalign = text.align_left, force_overlay = true) █  RUNTIME ERROR MESSAGES This library's functions will generate a custom runtime error message in the following cases: 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() is not called consecutively, or is called more than once on a single bar Invalid 𝚋𝚊𝚛𝚜𝙵𝚘𝚛𝚠𝚊𝚛𝚍 argument in the 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() function Invalid 𝚟𝚊𝚛𝚒𝚊𝚋𝚕𝚎𝚜 argument in the 𝚌𝚘𝚕𝚕𝚎𝚌𝚝𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊() function Invalid 𝚕𝚎𝚗𝚐𝚝𝚑 argument in any of the functions that accept a number of bars back Note: there is no runtime error generated for an invalid 𝚝𝚒𝚖𝚎𝚜𝚝𝚊𝚖𝚙 or 𝚋𝚊𝚛𝙸𝚗𝚍𝚎𝚡 argument in any of the functions. Instead, the functions will assign 𝚗𝚊 to the returned values. Any other runtime errors are due to incorrect usage of the library. █  NOTES • Function Descriptions The library source code uses Markdown for the exported functions. Hover over a function/method call in the Pine Editor to display formatted, detailed information about the function/method. //@version=6 indicator("Demo Function Tooltip") import n00btraders/ChartData/1 chartData = ChartData.collectChartData() int barIndex = chartData.timestampToBarIndex(timenow) log.info(str.tostring(barIndex)) • Historical vs. Realtime Behavior Under the hood, the data collector for this library is declared as `var`. Because of this, the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object will always reflect the latest available data on realtime updates. Any data that is recorded for historical bars will remain unchanged throughout the execution of a script. //@version=6 indicator("Demo Realtime Behavior") import n00btraders/ChartData/1 var map variables = map.new() variables.put("open", open) variables.put("close", close) chartData = ChartData.collectChartData(variables) if barstate.isrealtime varip float initialOpen = open varip float initialClose = close varip int updateCount = 0 updateCount += 1 float latestOpen = open float latestClose = close float recordedOpen = chartData.valueAtBarIndex("open", bar_index) float recordedClose = chartData.valueAtBarIndex("close", bar_index) string formatString = "# of updates: {0}\n\n𝚘𝚙𝚎𝚗 at update #1: {1,number,#.##}\n𝚌𝚕𝚘𝚜𝚎 at update #1: {2,number,#.##}\n\n" + "𝚘𝚙𝚎𝚗 at update #{0}: {3,number,#.##}\n𝚌𝚕𝚘𝚜𝚎 at update #{0}: {4,number,#.##}\n\n" + "𝚘𝚙𝚎𝚗 stored in memory: {5,number,#.##}\n𝚌𝚕𝚘𝚜𝚎 stored in memory: {6,number,#.##}" string labelText = str.format(formatString, updateCount, initialOpen, initialClose, latestOpen, latestClose, recordedOpen, recordedClose) label.new(bar_index, close, labelText, style = label.style_label_left, force_overlay = true) • Collecting Chart Data for Other Contexts If your use case requires collecting chart data from another context, avoid directly retrieving the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 object as this may exceed memory limits . //@version=6 indicator("Demo Return Calculated Results") import n00btraders/ChartData/1 timeInput = input.time(timestamp("01 Sep 2025 08:30 -0500"), "Time") var int oneMinuteBarsAgo = na // !ERROR - Memory Limits Exceeded // chartDataArray = request.security_lower_tf(syminfo.tickerid, "1", ChartData.collectChartData()) // oneMinuteBarsAgo := chartDataArray.last().getNumberOfBarsBack(timeInput) // function that returns calculated results (a single integer value instead of an entire `ChartData` object) getNumberOfBarsBack() => chartData = ChartData.collectChartData() chartData.getNumberOfBarsBack(timeInput) calculatedResultsArray = request.security_lower_tf(syminfo.tickerid, "1", getNumberOfBarsBack()) oneMinuteBarsAgo := calculatedResultsArray.size() > 0 ? calculatedResultsArray.last() : na if barstate.islast string labelText = str.format("The selected timestamp occurs 1-minute bars ago", oneMinuteBarsAgo) label.new(bar_index, hl2, labelText, style = label.style_label_left, size = 16, force_overlay = true) • Memory Usage The library's convenience and ease of use comes at the cost of increased usage of computational resources. For simple scripts, using this library will likely not cause any issues with exceeding memory limits. But for large and complex scripts, you can reduce memory issues by specifying a lower 𝚌𝚊𝚕𝚌_𝚋𝚊𝚛𝚜_𝚌𝚘𝚞𝚗𝚝 amount in the indicator() or strategy() declaration statement. //@version=6 // !ERROR - Memory Limits Exceeded using the default number of bars available (~20,000 bars for Premium plans) //indicator("Demo `calc_bars_count` parameter") // Reduce number of bars using `calc_bars_count` parameter indicator("Demo `calc_bars_count` parameter", calc_bars_count = 15000) import n00btraders/ChartData/1 map variables = map.new() variables.put("open", open) variables.put("close", close) variables.put("weekofyear", weekofyear) variables.put("dayofmonth", dayofmonth) variables.put("hour", hour) variables.put("minute", minute) variables.put("second", second) // simulate large memory usage chartData0 = ChartData.collectChartData(variables) chartData1 = ChartData.collectChartData(variables) chartData2 = ChartData.collectChartData(variables) chartData3 = ChartData.collectChartData(variables) chartData4 = ChartData.collectChartData(variables) chartData5 = ChartData.collectChartData(variables) chartData6 = ChartData.collectChartData(variables) chartData7 = ChartData.collectChartData(variables) chartData8 = ChartData.collectChartData(variables) chartData9 = ChartData.collectChartData(variables) log.info(str.tostring(chartData0.time(0))) log.info(str.tostring(chartData1.time(0))) log.info(str.tostring(chartData2.time(0))) log.info(str.tostring(chartData3.time(0))) log.info(str.tostring(chartData4.time(0))) log.info(str.tostring(chartData5.time(0))) log.info(str.tostring(chartData6.time(0))) log.info(str.tostring(chartData7.time(0))) log.info(str.tostring(chartData8.time(0))) log.info(str.tostring(chartData9.time(0))) if barstate.islast result = table.new(position.middle_right, 1, 1, force_overlay = true) table.cell(result, 0, 0, "Script Execution Successful ✅", text_size = 40) █  EXPORTED ENUMS Snap   Behavior for determining the bar that a timestamp belongs to.   Fields:      LEFT : Snap to the leftmost bar.      RIGHT : Snap to the rightmost bar.      DEFAULT : Default `xloc.bar_time` behavior. Note: this enum is used for the 𝚜𝚗𝚊𝚙 parameter of 𝚝𝚒𝚖𝚎𝚜𝚝𝚊𝚖𝚙𝚃𝚘𝙱𝚊𝚛𝙸𝚗𝚍𝚎𝚡(). █  EXPORTED TYPES Note: users of the library do not need to worry about directly accessing the fields of these types; all computations are done through method calls on an object of the 𝙲𝚑𝚊𝚛𝚝𝙳𝚊𝚝𝚊 type. Variable   Represents a user-specified variable that can be tracked on every chart bar.   Fields:      name (series string) : Unique identifier for the variable.      values (array) : The array of stored values (one value per chart bar). ChartData   Represents data for all bars on a chart.   Fields:      bars (series int) : Current number of bars on the chart.      timeValues (array) : The `time` values of all chart (and future) bars.      timeCloseValues (array) : The `time_close` values of all chart (and future) bars.      variables (array) : Additional custom values to track on all chart bars. █  EXPORTED FUNCTIONS collectChartData()   Collects and tracks the `time` and `time_close` value of every bar on the chart.   Returns: `ChartData` object to convert between `xloc.bar_index` and `xloc.bar_time`. collectChartData(barsForward)   Collects and tracks the `time` and `time_close` value of every bar on the chart as well as a specified number of future bars.   Parameters:      barsForward (simple int) : Number of future bars to collect data for.   Returns: `ChartData` object to convert between `xloc.bar_index` and `xloc.bar_time`. collectChartData(variables)   Collects and tracks the `time` and `time_close` value of every bar on the chart. Additionally, tracks a custom set of variables for every chart bar.   Parameters:      variables (simple map) : Custom values to collect on every chart bar.   Returns: `ChartData` object to convert between `xloc.bar_index` and `xloc.bar_time`. collectChartData(barsForward, variables)   Collects and tracks the `time` and `time_close` value of every bar on the chart as well as a specified number of future bars. Additionally, tracks a custom set of variables for every chart bar.   Parameters:      barsForward (simple int) : Number of future bars to collect data for.      variables (simple map) : Custom values to collect on every chart bar.   Returns: `ChartData` object to convert between `xloc.bar_index` and `xloc.bar_time`. █  EXPORTED METHODS method timestampToBarIndex(chartData, timestamp, snap)   Converts a UNIX timestamp to a bar index.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      timestamp (series int) : A UNIX time.      snap (series Snap) : A `Snap` enum value.   Returns: A bar index, or `na` if unable to find the appropriate bar index. method getNumberOfBarsBack(chartData, timestamp)   Converts a UNIX timestamp to a history-referencing length (i.e., number of bars back).   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      timestamp (series int) : A UNIX time.   Returns: A bar offset, or `na` if unable to find a valid number of bars back. method timeAtBarIndex(chartData, barIndex)   Retrieves the `time` value for the specified bar index.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      barIndex (int) : The bar index.   Returns: The `time` value, or `na` if there is no `time` stored for the bar index. method time(chartData, length)   Retrieves the `time` value of the bar that is `length` bars back relative to the latest bar.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      length (series int) : Number of bars back.   Returns: The `time` value `length` bars ago, or `na` if there is no `time` stored for that bar. method timeCloseAtBarIndex(chartData, barIndex)   Retrieves the `time_close` value for the specified bar index.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      barIndex (series int) : The bar index.   Returns: The `time_close` value, or `na` if there is no `time_close` stored for the bar index. method timeClose(chartData, length)   Retrieves the `time_close` value of the bar that is `length` bars back from the latest bar.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      length (series int) : Number of bars back.   Returns: The `time_close` value `length` bars ago, or `na` if there is none stored. method valueAtBarIndex(chartData, name, barIndex)   Retrieves the value of a custom variable for the specified bar index.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      name (series string) : The variable name.      barIndex (series int) : The bar index.   Returns: The value of the variable, or `na` if that variable is not stored for the bar index. method value(chartData, name, length)   Retrieves a variable value of the bar that is `length` bars back relative to the latest bar.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      name (series string) : The variable name.      length (series int) : Number of bars back.   Returns: The value `length` bars ago, or `na` if that variable is not stored for the bar index. method getAllVariablesAtBarIndex(chartData, barIndex)   Retrieves all custom variables for the specified bar index.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      barIndex (series int) : The bar index.   Returns: Map of all custom variables that are stored for the specified bar index. method getEarliestStoredData(chartData)   Gets all values from the earliest bar data that is currently stored in memory.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.   Returns: A tuple: method getLatestStoredData(chartData, futureData)   Gets all values from the latest bar data that is currently stored in memory.   Namespace types: ChartData   Parameters:      chartData (series ChartData) : The `ChartData` object.      futureData (series bool) : Whether to include the future data that is stored in memory.   Returns: A tuple:
Pine Script®腳本庫
由n00btraders提供
4