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חפש סקריפטים עבור "low"

FNGAdataLow“Low prices for FNGA ETF (Dec 2018–May 2025) The Low prices for FNGA ETF (December 2018 – May 2025) capture the lowest trading price reached during each regular U.S. market session over the entire lifespan of this leveraged exchange-traded note. Initially launched under the ticker FNGU, and later rebranded as FNGA in March 2025 before its eventual redemption, the fund was structured to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index concentrated on a small basket of leading technology and tech-enabled growth companies such as Meta (Facebook), Amazon, Apple, Netflix, and Alphabet (Google), along with a few other innovators. The Low price is particularly important in the study of FNGA because it highlights the intraday downside extremes of a highly volatile, leveraged product. Since FNGA was designed to reset leverage daily, its lows often reflected moments of amplified market stress, when declines in the underlying FANG+™ stocks were multiplied through the 3x leverage structure.
ספריית Pine Script®
מאת ‎bsouthhh‎
Low volatility Buy w/ TP & SL (Coinrule)The compression of volatility usually leads to expansion. When the breakout comes, it can ignite strong trends. One way to catch a coin trading in an accumulation area is to spot three moving averages with values close to each other. The strategy uses a combination of Moving Averages to spot the best time to buy a coin before its breakout. Buy Condition The MA200 is greater than the MA100 The MA50 is greater than the MA100 According to backtesting results, the 1-hour time frame is the best to run this strategy. Sell Condition Take Profit: the price increases 8% from the entry price Stop Loss: the price drops 4% from the entry price The strategy has a profitability of 40-60% (depending on the market conditions). Having a ratio of two between Take profit and Stop Loss helps keeping the strategy profitable in the long term.
אסטרטגיית Pine Script®
מאת ‎Coinrule‎
Scalper Pro Pattern Recognition & Price Action OVERVIEW Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies. ORIGINALITY & PURPOSE What Makes This Script Original This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets. The unique value proposition: Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation Why Combine These Specific Components Each component addresses a specific weakness in scalping: SuperTrend provides the primary directional bias but can generate false signals in ranging markets Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives ADX Analysis prevents trading during low-volatility consolidation when most indicators fail SMC Elements identify institutional activity zones where price is likely to react strongly ATR-Based Risk Management adapts position sizing to current volatility conditions The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches. HOW IT WORKS Core Calculation Methodology 1. SuperTrend Signal Generation The script uses a modified SuperTrend algorithm with the following calculation: ATR = Average True Range (default: 10 periods) Factor = 7 (default sensitivity multiplier) Upper Band = Source + (Factor × ATR) Lower Band = Source - (Factor × ATR) Directional Logic: When price crosses above SuperTrend → Bullish signal When price crosses below SuperTrend → Bearish signal SuperTrend value is plotted as dynamic support/resistance Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation. 2. Range Filter System (Cirrus Cloud) The Range Filter uses a smoothed range calculation to filter out market noise: Smooth Range Calculation: WPER = (Period × 2) - 1 AVRNG = EMA(|Price - Price |, Period) Smooth Range = EMA(AVRNG, WPER) × Multiplier Two-Layer System: Layer 1: 22-period with 6x multiplier (broader trend) Layer 2: 15-period with 5x multiplier (tighter price action) Visual Output: The space between these two filters is colored: Green fill = Bullish trend (Layer 1 > Layer 2) Red fill = Bearish trend (Layer 1 < Layer 2) This creates a "cloud" that expands during strong trends and contracts during consolidation. 3. ADX Market Regime Detection Calculation: +DM = Positive Directional Movement -DM = Negative Directional Movement True Range = RMA of True Range (15 periods) +DI = 100 × RMA(+DM, 15) / True Range -DI = 100 × RMA(-DM, 15) / True Range ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15) Threshold System: ADX < Threshold (default 15) = Ranging market → Bar color changes to purple ADX > Threshold = Trending market → Normal bar coloring applies Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws. 4. Smart Money Concepts (SMC) Integration Order Blocks (OB): Identified using swing high/low detection with customizable pivot length Bullish OB: Last down-close candle before bullish Break of Structure (BOS) Bearish OB: Last up-close candle before bearish BOS Extended forward until price breaks through them Fair Value Gaps (FVG): Detected when a three-candle gap exists: Bullish FVG: Low > High Bearish FVG: High < Low Filtered by price delta percentage to ensure significant gaps Displayed as boxes that delete when price fills the gap Break of Structure (BOS) vs. Change of Character (CHoCH): BOS = Price breaks the previous structural high/low in the current trend direction CHoCH = Price breaks structure in the opposite direction (potential trend reversal) Both internal (minor) and swing (major) structures are tracked Equal Highs/Lows (EQH/EQL): Detected when consecutive swing highs/lows are within ATR threshold Often indicates liquidity pools that price may sweep before reversing 5. ATR-Based Risk Management Calculation: ATR Band = ATR(14) × Risk Multiplier (default 3%) Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts) Take Profit Levels: TP1 = Entry + (Entry - Stop Loss) × 1 TP2 = Entry + (Entry - Stop Loss) × 2 TP3 = Entry + (Entry - Stop Loss) × 3 Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger. 6. Hull Moving Average Trend Cloud HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period)) Period = 600 bars (long-term trend) The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise. HOW TO USE THE INDICATOR Entry Signals Primary Buy Signal: SuperTrend changes to green (price crosses above) ADX shows market is NOT ranging (bars are NOT purple) Price is within or near a bullish Order Block OR bullish FVG Cirrus Cloud shows green fill (Layer 1 > Layer 2) Primary Sell Signal: SuperTrend changes to red (price crosses below) ADX shows market is NOT ranging Price is within or near a bearish Order Block OR bearish FVG Cirrus Cloud shows red fill (Layer 1 < Layer 2) Confirmation Layers Higher Probability Trades Include: Bullish/Bearish BOS in the same direction as signal Equal highs/lows being swept before entry Price respecting premium/discount zones (above/below equilibrium) Multiple timeframe alignment (use MTF settings) Exit Strategy The indicator provides three take-profit levels: TP1: Conservative target (1:1 risk-reward) TP2: Moderate target (2:1 risk-reward) TP3: Aggressive target (3:1 risk-reward) Suggested Exit Approach: Close 1/3 position at TP1 Move stop to breakeven Close 1/3 position at TP2 Trail remaining position or exit at TP3 Risk Management Stop Loss: Use the ATR-based stop loss level displayed on chart Alternatively, use percentage-based stop (adjustable in settings) Never risk more than 1-2% of account per trade Position Sizing: Position Size = (Account Risk $) / (Entry Price - Stop Loss Price) CUSTOMIZABLE SETTINGS Core Parameters Buy/Sell Signals: Toggle signals on/off Adjust SuperTrend sensitivity (0.5 - 2.0) Risk Management: Show/hide TP/SL levels ATR period (default: 14) Risk percentage (default: 3%) Number of decimal places for price labels Trend Features: Cirrus Cloud display toggle Range filter periods (x1, x2, x3, x4) Hull MA length for trend cloud Smart Money Concepts: Order Block settings (swing length, display count) Fair Value Gap parameters (auto-threshold, extend length) Structure detection (internal vs swing) EQH/EQL threshold ADX Settings: ADX length (default: 15) Sideways threshold (10-30, default: 15) Bar color toggle Display Options: Previous day/week/month high/low levels Premium/Discount/Equilibrium zones Trend candle coloring (colored or monochrome) BEST PRACTICES & TRADING TIPS Optimal Use Cases Scalping on lower timeframes (1m, 5m, 15m) Rapid entry/exit with clear TP levels ADX filter prevents choppy market entries Day trading on medium timeframes (30m, 1H) Stronger trend confirmation Better risk-reward ratios Swing trading entries on higher timeframes (4H, Daily) Higher-probability structural setups Larger ATR-based stops accommodate volatility Market Conditions Best Performance: Trending markets with clear directional bias Post-news volatility with defined structure Markets respecting support/resistance levels Avoid Trading When: ADX indicator shows purple bars (ranging market) Multiple conflicting signals across timeframes Major news events without clear price structure Low volume periods (market open/close) Common Mistakes to Avoid Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws Not waiting for confirmation - Enter only when multiple layers align Overtrading - Fewer high-quality setups outperform many mediocre ones Ignoring risk management - Always use the calculated stop losses Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction TECHNICAL SPECIFICATIONS Indicator Type: Overlay (plots on price chart) Calculation Resources: Max labels: 500 Max lines: 500 Max boxes: 500 Max bars back: 500 Pine Script Version: 5 Compatible Timeframes: All timeframes (optimized for 1m to 1D) Compatible Instruments: Forex pairs Crypto assets Stock indices Individual stocks Commodities THEORETICAL FOUNDATION Trend-Following Concepts This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks. Smart Money Theory The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of: Order Blocks: Areas where large orders were placed Fair Value Gaps: Inefficient price movements that may be revisited Liquidity Sweeps: Stop hunts before continuation (EQH/EQL) Volatility-Based Position Sizing Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions: Tight stops in low volatility (avoids excessive risk) Wider stops in high volatility (avoids premature stop-outs) PERFORMANCE EXPECTATIONS Realistic Expectations Win Rate: Expected: 45-55% (trend-following systems rarely exceed 60%) Higher win rates on trending days Lower win rates during consolidation (even with ADX filter) Risk-Reward Ratio: Target: 1.5:1 minimum (TP2) Achievable: 2:1 to 3:1 on strong trends Drawdowns: Normal: 10-15% of account during choppy periods Maximum: Should not exceed 20% with proper risk management Optimization Tips Backtesting Recommendations: Test on at least 1 year of historical data Include different market conditions (trending, ranging, volatile) Adjust SuperTrend sensitivity per instrument Optimize ADX threshold for your specific market Record trades to identify personal execution errors FREQUENTLY ASKED QUESTIONS Q: Can I use this for automated trading? A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots. Q: Why do I see conflicting signals? A: This is normal during transition periods. Wait for all confirmation layers to align before entering. Q: How often should I expect signals? A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session. Q: Can I use only some features? A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active. Q: What's the difference between internal and swing structures? A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation. DISCLAIMER This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always: Use proper risk management Test on demo accounts first Never risk more than you can afford to lose Combine with fundamental analysis when applicable Understand that no indicator is 100% accurate License: Mozilla Public License 2.0 Author: DrFXGOD VERSION HISTORY & UPDATES Initial Release - Version 1.0 Integrated SuperTrend, Range Filters, ADX, SMC concepts ATR-based risk management Multi-timeframe support Customizable visual elements SUPPORT & DOCUMENTATION For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView. Additional Resources: Smart Money Concepts: Research ICT (Inner Circle Trader) materials ATR and Volatility: Refer to Wilder's original ATR documentation SuperTrend Indicator: Study original SuperTrend strategy papers
אינדיקטור Pine Script®
מאת ‎DrFXGOD‎
Real Time UVXY Spike Level TrackerKey Features Real Time All-Time Low Tracking: Continuously updates the ATL using daily timeframe data. Multiple Spike Levels: Displays +20%, +50%, +75%, and +100% levels above the ATL. Real-Time Spike Percentage: Shows current distance from ATL in an easy-to-read table. Understanding the Chart Lines Red Line (ATL): The all-time low baseline. This is your reference point for measuring volatility spikes. Yellow Line (+20%): First level of moderate volatility increase. Minor market stress or routine volatility expansion. Blue Line (+50%): Significant volatility event. Indicates elevated market concern or technical dislocation. Purple Line (+75%): Major volatility spike. Typically coincides with substantial market selloffs or uncertainty. Fuchsia Line (+100%): Extreme volatility event. Rare occurrences associated with market crashes, black swan events, or severe panic. The Data Table Displays: Current Spike %: Real-time percentage showing how far price is above the ATL (highlighted in green) Level Column: Each spike threshold level Price Column: Exact price at each level for quick reference Understanding UVXY spike levels is valuable for several reasons: Market Timing & Entry/Exit Points UVXY typically experiences extreme spikes during market panics or crashes. Knowing historical spike levels helps you: Identify extreme fear levels - When UVXY hits unusually high levels, it often signals peak panic and potential market bottoms Avoid chasing volatility - Understanding what constitutes an "extreme" spike prevents buying in after the move is already exhausted Mean Reversion Trading UVXY has a strong tendency to decay over time due to its leveraged structure and the contango in VIX futures. Spike levels matter because: High probability reversals - When UVXY reaches extreme levels (say 2-3x normal), there's historically been a high probability of reversion Risk/reward assessment - You can better evaluate whether a short position or volatility-selling strategy makes sense Leveraged ETF enthusiasts and volatility traders often use specific spike percentages as triggers to open short positions. For example, some traders might short when UVXY spikes 5-50%+ in a week or reaches certain percentage thresholds, betting on the inevitable decay back down
אינדיקטור Pine Script®
מאת ‎CIVolatility‎
PubLibCandleTrendLibrary "PubLibCandleTrend" candle trend, multi-part candle trend, multi-part green/red candle trend, double candle trend and multi-part double candle trend conditions for indicator and strategy development chh()   candle higher high condition   Returns: bool chl()   candle higher low condition   Returns: bool clh()   candle lower high condition   Returns: bool cll()   candle lower low condition   Returns: bool cdt()   candle double top condition   Returns: bool cdb()   candle double bottom condition   Returns: bool gc()   green candle condition   Returns: bool gchh()   green candle higher high condition   Returns: bool gchl()   green candle higher low condition   Returns: bool gclh()   green candle lower high condition   Returns: bool gcll()   green candle lower low condition   Returns: bool gcdt()   green candle double top condition   Returns: bool gcdb()   green candle double bottom condition   Returns: bool rc()   red candle condition   Returns: bool rchh()   red candle higher high condition   Returns: bool rchl()   red candle higher low condition   Returns: bool rclh()   red candle lower high condition   Returns: bool rcll()   red candle lower low condition   Returns: bool rcdt()   red candle double top condition   Returns: bool rcdb()   red candle double bottom condition   Returns: bool chh_1p()   1-part candle higher high condition   Returns: bool chh_2p()   2-part candle higher high condition   Returns: bool chh_3p()   3-part candle higher high condition   Returns: bool chh_4p()   4-part candle higher high condition   Returns: bool chh_5p()   5-part candle higher high condition   Returns: bool chh_6p()   6-part candle higher high condition   Returns: bool chh_7p()   7-part candle higher high condition   Returns: bool chh_8p()   8-part candle higher high condition   Returns: bool chh_9p()   9-part candle higher high condition   Returns: bool chh_10p()   10-part candle higher high condition   Returns: bool chh_11p()   11-part candle higher high condition   Returns: bool chh_12p()   12-part candle higher high condition   Returns: bool chh_13p()   13-part candle higher high condition   Returns: bool chh_14p()   14-part candle higher high condition   Returns: bool chh_15p()   15-part candle higher high condition   Returns: bool chh_16p()   16-part candle higher high condition   Returns: bool chh_17p()   17-part candle higher high condition   Returns: bool chh_18p()   18-part candle higher high condition   Returns: bool chh_19p()   19-part candle higher high condition   Returns: bool chh_20p()   20-part candle higher high condition   Returns: bool chh_21p()   21-part candle higher high condition   Returns: bool chh_22p()   22-part candle higher high condition   Returns: bool chh_23p()   23-part candle higher high condition   Returns: bool chh_24p()   24-part candle higher high condition   Returns: bool chh_25p()   25-part candle higher high condition   Returns: bool chh_26p()   26-part candle higher high condition   Returns: bool chh_27p()   27-part candle higher high condition   Returns: bool chh_28p()   28-part candle higher high condition   Returns: bool chh_29p()   29-part candle higher high condition   Returns: bool chh_30p()   30-part candle higher high condition   Returns: bool chl_1p()   1-part candle higher low condition   Returns: bool chl_2p()   2-part candle higher low condition   Returns: bool chl_3p()   3-part candle higher low condition   Returns: bool chl_4p()   4-part candle higher low condition   Returns: bool chl_5p()   5-part candle higher low condition   Returns: bool chl_6p()   6-part candle higher low condition   Returns: bool chl_7p()   7-part candle higher low condition   Returns: bool chl_8p()   8-part candle higher low condition   Returns: bool chl_9p()   9-part candle higher low condition   Returns: bool chl_10p()   10-part candle higher low condition   Returns: bool chl_11p()   11-part candle higher low condition   Returns: bool chl_12p()   12-part candle higher low condition   Returns: bool chl_13p()   13-part candle higher low condition   Returns: bool chl_14p()   14-part candle higher low condition   Returns: bool chl_15p()   15-part candle higher low condition   Returns: bool chl_16p()   16-part candle higher low condition   Returns: bool chl_17p()   17-part candle higher low condition   Returns: bool chl_18p()   18-part candle higher low condition   Returns: bool chl_19p()   19-part candle higher low condition   Returns: bool chl_20p()   20-part candle higher low condition   Returns: bool chl_21p()   21-part candle higher low condition   Returns: bool chl_22p()   22-part candle higher low condition   Returns: bool chl_23p()   23-part candle higher low condition   Returns: bool chl_24p()   24-part candle higher low condition   Returns: bool chl_25p()   25-part candle higher low condition   Returns: bool chl_26p()   26-part candle higher low condition   Returns: bool chl_27p()   27-part candle higher low condition   Returns: bool chl_28p()   28-part candle higher low condition   Returns: bool chl_29p()   29-part candle higher low condition   Returns: bool chl_30p()   30-part candle higher low condition   Returns: bool clh_1p()   1-part candle lower high condition   Returns: bool clh_2p()   2-part candle lower high condition   Returns: bool clh_3p()   3-part candle lower high condition   Returns: bool clh_4p()   4-part candle lower high condition   Returns: bool clh_5p()   5-part candle lower high condition   Returns: bool clh_6p()   6-part candle lower high condition   Returns: bool clh_7p()   7-part candle lower high condition   Returns: bool clh_8p()   8-part candle lower high condition   Returns: bool clh_9p()   9-part candle lower high condition   Returns: bool clh_10p()   10-part candle lower high condition   Returns: bool clh_11p()   11-part candle lower high condition   Returns: bool clh_12p()   12-part candle lower high condition   Returns: bool clh_13p()   13-part candle lower high condition   Returns: bool clh_14p()   14-part candle lower high condition   Returns: bool clh_15p()   15-part candle lower high condition   Returns: bool clh_16p()   16-part candle lower high condition   Returns: bool clh_17p()   17-part candle lower high condition   Returns: bool clh_18p()   18-part candle lower high condition   Returns: bool clh_19p()   19-part candle lower high condition   Returns: bool clh_20p()   20-part candle lower high condition   Returns: bool clh_21p()   21-part candle lower high condition   Returns: bool clh_22p()   22-part candle lower high condition   Returns: bool clh_23p()   23-part candle lower high condition   Returns: bool clh_24p()   24-part candle lower high condition   Returns: bool clh_25p()   25-part candle lower high condition   Returns: bool clh_26p()   26-part candle lower high condition   Returns: bool clh_27p()   27-part candle lower high condition   Returns: bool clh_28p()   28-part candle lower high condition   Returns: bool clh_29p()   29-part candle lower high condition   Returns: bool clh_30p()   30-part candle lower high condition   Returns: bool cll_1p()   1-part candle lower low condition   Returns: bool cll_2p()   2-part candle lower low condition   Returns: bool cll_3p()   3-part candle lower low condition   Returns: bool cll_4p()   4-part candle lower low condition   Returns: bool cll_5p()   5-part candle lower low condition   Returns: bool cll_6p()   6-part candle lower low condition   Returns: bool cll_7p()   7-part candle lower low condition   Returns: bool cll_8p()   8-part candle lower low condition   Returns: bool cll_9p()   9-part candle lower low condition   Returns: bool cll_10p()   10-part candle lower low condition   Returns: bool cll_11p()   11-part candle lower low condition   Returns: bool cll_12p()   12-part candle lower low condition   Returns: bool cll_13p()   13-part candle lower low condition   Returns: bool cll_14p()   14-part candle lower low condition   Returns: bool cll_15p()   15-part candle lower low condition   Returns: bool cll_16p()   16-part candle lower low condition   Returns: bool cll_17p()   17-part candle lower low condition   Returns: bool cll_18p()   18-part candle lower low condition   Returns: bool cll_19p()   19-part candle lower low condition   Returns: bool cll_20p()   20-part candle lower low condition   Returns: bool cll_21p()   21-part candle lower low condition   Returns: bool cll_22p()   22-part candle lower low condition   Returns: bool cll_23p()   23-part candle lower low condition   Returns: bool cll_24p()   24-part candle lower low condition   Returns: bool cll_25p()   25-part candle lower low condition   Returns: bool cll_26p()   26-part candle lower low condition   Returns: bool cll_27p()   27-part candle lower low condition   Returns: bool cll_28p()   28-part candle lower low condition   Returns: bool cll_29p()   29-part candle lower low condition   Returns: bool cll_30p()   30-part candle lower low condition   Returns: bool gc_1p()   1-part green candle condition   Returns: bool gc_2p()   2-part green candle condition   Returns: bool gc_3p()   3-part green candle condition   Returns: bool gc_4p()   4-part green candle condition   Returns: bool gc_5p()   5-part green candle condition   Returns: bool gc_6p()   6-part green candle condition   Returns: bool gc_7p()   7-part green candle condition   Returns: bool gc_8p()   8-part green candle condition   Returns: bool gc_9p()   9-part green candle condition   Returns: bool gc_10p()   10-part green candle condition   Returns: bool gc_11p()   11-part green candle condition   Returns: bool gc_12p()   12-part green candle condition   Returns: bool gc_13p()   13-part green candle condition   Returns: bool gc_14p()   14-part green candle condition   Returns: bool gc_15p()   15-part green candle condition   Returns: bool gc_16p()   16-part green candle condition   Returns: bool gc_17p()   17-part green candle condition   Returns: bool gc_18p()   18-part green candle condition   Returns: bool gc_19p()   19-part green candle condition   Returns: bool gc_20p()   20-part green candle condition   Returns: bool gc_21p()   21-part green candle condition   Returns: bool gc_22p()   22-part green candle condition   Returns: bool gc_23p()   23-part green candle condition   Returns: bool gc_24p()   24-part green candle condition   Returns: bool gc_25p()   25-part green candle condition   Returns: bool gc_26p()   26-part green candle condition   Returns: bool gc_27p()   27-part green candle condition   Returns: bool gc_28p()   28-part green candle condition   Returns: bool gc_29p()   29-part green candle condition   Returns: bool gc_30p()   30-part green candle condition   Returns: bool rc_1p()   1-part red candle condition   Returns: bool rc_2p()   2-part red candle condition   Returns: bool rc_3p()   3-part red candle condition   Returns: bool rc_4p()   4-part red candle condition   Returns: bool rc_5p()   5-part red candle condition   Returns: bool rc_6p()   6-part red candle condition   Returns: bool rc_7p()   7-part red candle condition   Returns: bool rc_8p()   8-part red candle condition   Returns: bool rc_9p()   9-part red candle condition   Returns: bool rc_10p()   10-part red candle condition   Returns: bool rc_11p()   11-part red candle condition   Returns: bool rc_12p()   12-part red candle condition   Returns: bool rc_13p()   13-part red candle condition   Returns: bool rc_14p()   14-part red candle condition   Returns: bool rc_15p()   15-part red candle condition   Returns: bool rc_16p()   16-part red candle condition   Returns: bool rc_17p()   17-part red candle condition   Returns: bool rc_18p()   18-part red candle condition   Returns: bool rc_19p()   19-part red candle condition   Returns: bool rc_20p()   20-part red candle condition   Returns: bool rc_21p()   21-part red candle condition   Returns: bool rc_22p()   22-part red candle condition   Returns: bool rc_23p()   23-part red candle condition   Returns: bool rc_24p()   24-part red candle condition   Returns: bool rc_25p()   25-part red candle condition   Returns: bool rc_26p()   26-part red candle condition   Returns: bool rc_27p()   27-part red candle condition   Returns: bool rc_28p()   28-part red candle condition   Returns: bool rc_29p()   29-part red candle condition   Returns: bool rc_30p()   30-part red candle condition   Returns: bool cdut()   candle double uptrend condition   Returns: bool cddt()   candle double downtrend condition   Returns: bool cdut_1p()   1-part candle double uptrend condition   Returns: bool cdut_2p()   2-part candle double uptrend condition   Returns: bool cdut_3p()   3-part candle double uptrend condition   Returns: bool cdut_4p()   4-part candle double uptrend condition   Returns: bool cdut_5p()   5-part candle double uptrend condition   Returns: bool cdut_6p()   6-part candle double uptrend condition   Returns: bool cdut_7p()   7-part candle double uptrend condition   Returns: bool cdut_8p()   8-part candle double uptrend condition   Returns: bool cdut_9p()   9-part candle double uptrend condition   Returns: bool cdut_10p()   10-part candle double uptrend condition   Returns: bool cdut_11p()   11-part candle double uptrend condition   Returns: bool cdut_12p()   12-part candle double uptrend condition   Returns: bool cdut_13p()   13-part candle double uptrend condition   Returns: bool cdut_14p()   14-part candle double uptrend condition   Returns: bool cdut_15p()   15-part candle double uptrend condition   Returns: bool cdut_16p()   16-part candle double uptrend condition   Returns: bool cdut_17p()   17-part candle double uptrend condition   Returns: bool cdut_18p()   18-part candle double uptrend condition   Returns: bool cdut_19p()   19-part candle double uptrend condition   Returns: bool cdut_20p()   20-part candle double uptrend condition   Returns: bool cdut_21p()   21-part candle double uptrend condition   Returns: bool cdut_22p()   22-part candle double uptrend condition   Returns: bool cdut_23p()   23-part candle double uptrend condition   Returns: bool cdut_24p()   24-part candle double uptrend condition   Returns: bool cdut_25p()   25-part candle double uptrend condition   Returns: bool cdut_26p()   26-part candle double uptrend condition   Returns: bool cdut_27p()   27-part candle double uptrend condition   Returns: bool cdut_28p()   28-part candle double uptrend condition   Returns: bool cdut_29p()   29-part candle double uptrend condition   Returns: bool cdut_30p()   30-part candle double uptrend condition   Returns: bool cddt_1p()   1-part candle double downtrend condition   Returns: bool cddt_2p()   2-part candle double downtrend condition   Returns: bool cddt_3p()   3-part candle double downtrend condition   Returns: bool cddt_4p()   4-part candle double downtrend condition   Returns: bool cddt_5p()   5-part candle double downtrend condition   Returns: bool cddt_6p()   6-part candle double downtrend condition   Returns: bool cddt_7p()   7-part candle double downtrend condition   Returns: bool cddt_8p()   8-part candle double downtrend condition   Returns: bool cddt_9p()   9-part candle double downtrend condition   Returns: bool cddt_10p()   10-part candle double downtrend condition   Returns: bool cddt_11p()   11-part candle double downtrend condition   Returns: bool cddt_12p()   12-part candle double downtrend condition   Returns: bool cddt_13p()   13-part candle double downtrend condition   Returns: bool cddt_14p()   14-part candle double downtrend condition   Returns: bool cddt_15p()   15-part candle double downtrend condition   Returns: bool cddt_16p()   16-part candle double downtrend condition   Returns: bool cddt_17p()   17-part candle double downtrend condition   Returns: bool cddt_18p()   18-part candle double downtrend condition   Returns: bool cddt_19p()   19-part candle double downtrend condition   Returns: bool cddt_20p()   20-part candle double downtrend condition   Returns: bool cddt_21p()   21-part candle double downtrend condition   Returns: bool cddt_22p()   22-part candle double downtrend condition   Returns: bool cddt_23p()   23-part candle double downtrend condition   Returns: bool cddt_24p()   24-part candle double downtrend condition   Returns: bool cddt_25p()   25-part candle double downtrend condition   Returns: bool cddt_26p()   26-part candle double downtrend condition   Returns: bool cddt_27p()   27-part candle double downtrend condition   Returns: bool cddt_28p()   28-part candle double downtrend condition   Returns: bool cddt_29p()   29-part candle double downtrend condition   Returns: bool cddt_30p()   30-part candle double downtrend condition   Returns: bool
ספריית Pine Script®
מאת ‎theEccentricTrader‎
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