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Approximate Entropy Zones [PhenLabs]Version: PineScript™ v6 Description This indicator identifies periods of market complexity and randomness by calculating the Approximate Entropy (ApEn) of price action. As the movement of the market becomes complex, it means the current trend is losing steam and a reversal or consolidation is likely near. The indicator plots high-entropy periods as zones on your chart, providing a graphical suggestion to anticipate a potential market direction change. This indicator is designed to help traders identify favorable times to get in or out of a trade by highlighting when the market is in a state of disarray. Points of Innovation Advanced Complexity Analysis: Instead of relying on traditional momentum or trend indicators, this tool uses Approximate Entropy to quantify the unpredictability of price movements. Dynamic Zone Creation: It automatically plots zones on the chart during periods of high entropy, providing a clear and intuitive visual guide. Customizable Sensitivity: Users can fine-tune the ‘Entropy Threshold’ to adjust how frequently zones appear, allowing for calibration to different assets and timeframes. Time-Based Zone Expiration: Zones can be set to expire after a specific time, keeping the chart clean and relevant. Built-in Zone Size Filter: Excludes zones that form on excessively large candles, filtering out noise from extreme volatility events. On-Chart Calibration Guide: A persistent note on the chart provides simple instructions for adjusting the entropy threshold, making it easy for users to optimize the indicator’s performance. Core Components Approximate Entropy (ApEn) Calculation: The core of the indicator, which measures the complexity or randomness of the price data. Zone Plotting: Creates visual boxes on the chart when the calculated ApEn value exceeds a user-defined threshold. Dynamic Zone Management: Manages the lifecycle of the zones, from creation to expiration, ensuring the chart remains uncluttered. Customizable Settings: A comprehensive set of inputs that allow users to control the indicator’s sensitivity, appearance, and time-based behavior. Key Features Identifies Potential Reversals: The high-entropy zones can signal that a trend is nearing its end, giving traders an early warning. Works on Any Timeframe: The indicator can be applied to any chart timeframe, from minutes to days. Customizable Appearance: Users can change the color and transparency of the zones to match their chart’s theme. Informative Labels: Each zone can display the calculated entropy value and the direction of the candle on which it formed. Visualization Entropy Zones: Shaded boxes that appear on the chart, highlighting candles with high complexity. Zone Labels: Text within each zone that displays the ApEn value and a directional arrow (e.g., “0.525 ↑”). Calibration Note: A small table in the top-right corner of the chart with instructions for adjusting the indicator’s sensitivity. Usage Guidelines Entropy Analysis Source: The price data used for the ApEn calculation. (Default: close) Lookback Length: The number of bars used in the ApEn calculation. (Default: 20, Range: 10-50) Embedding Dimension (m): The length of patterns to be compared; a standard value for financial data. (Default: 2) Tolerance Multiplier (r): Adjusts the tolerance for pattern matching; a larger value makes matching more lenient. (Default: 0.2) Entropy Threshold: The ApEn value that must be exceeded to plot a zone. Increase this if too many zones appear; decrease it if too few appear. (Default: 0.525) Time Settings Analysis Timeframe: How long a zone remains on the chart after it forms. (Default: 1D) Custom Period (Bars): The zone’s lifespan in bars if “Analysis Timeframe” is set to “Custom”. (Default: 1000) Zone Settings Zone Fill Color: The color of the entropy zones. (Default: #21f38a with 80% transparency) Maximum Zone Size %: Filters out zones on candles that are larger than this percentage of their low price. (Default: 0.5) Display Options Show Entropy Label: Toggles the visibility of the text label inside each zone. (Default: true) Label Text Position: The horizontal alignment of the text label. (Default: Right) Show Calibration Note: Toggles the visibility of the calibration note in the corner of the chart. (Default: true) Best Use Cases Trend Reversal Trading: Identifying when a strong trend is likely to reverse or pause. Breakout Confirmation: Using the absence of high entropy to confirm the strength of a breakout. Ranging Market Identification: Periods of high entropy can indicate that a market is transitioning into a sideways or choppy phase. Limitations Not a Standalone Signal: This indicator should be used in conjunction with other forms of analysis to confirm trading signals. Lagging Nature: Like all indicators based on historical data, ApEn is a lagging measure and does not predict future price movements with certainty. Calibration Required: The effectiveness of the indicator is highly dependent on the “Entropy Threshold” setting, which needs to be adjusted for different assets and timeframes. What Makes This Unique Quantifies Complexity: It provides a numerical measure of market complexity, offering a different perspective than traditional indicators. Clear Visual Cues: The zones make it easy to see when the market is in a state of high unpredictability. User-Friendly Design: With features like the on-chart calibration note, the indicator is designed to be easy to use and optimize. How It Works Calculate Standard Deviation: The indicator first calculates the standard deviation of the source price data over a specified lookback period. Calculate Phi: It then calculates a value called “phi” for two different pattern lengths (embedding dimensions ‘m’ and ‘m+1’). This involves comparing sequences of data points to see how many are “similar” within a certain tolerance (determined by the standard deviation and the ‘r’ multiplier). Calculate ApEn: The Approximate Entropy is the difference between the two phi values. A higher ApEn value indicates greater irregularity and unpredictability in the data. Plot Zones: If the calculated ApEn exceeds the user-defined ‘Entropy Threshold’, a zone is plotted on the chart. Note: The “Entropy Threshold” is the most important setting to adjust. If you see too many zones, increase the threshold. If you see too few, decrease it.
Pine Script® indicator
by PhenLabs
Inside Bar FinderAn Inside Bar is a candlestick pattern where the entire price range (high to low) of the current candle is completely contained within the range of the previous candle. Key Criteria: High of current candle is lower than the previous candle’s high. Low of current candle is higher than the previous candle’s low. Usage: Breakout traders watch for the next candle to break above or below the inside bar. It’s often used in trending markets as a signal to join the trend after the consolidation. Can be combined with support/resistance, volume, or trend filters for higher probability.
Pine Script® indicator
by practicalLemur92078
Advanced MA Crossover with RSI Filter =============================================================================== INDICATOR NAME: "Advanced MA Crossover with RSI Filter" ALTERNATIVE NAME: "Triple-Filter Moving Average Crossover System" SHORT NAME: "AMAC-RSI" CATEGORY: Trend Following / Momentum VERSION: 1.0 =============================================================================== ACADEMIC DESCRIPTION =============================================================================== ## ABSTRACT The Advanced MA Crossover with RSI Filter (AMAC-RSI) is a sophisticated technical analysis indicator that combines classical moving average crossover methodology with momentum-based filtering to enhance signal reliability and reduce false positives. This indicator employs a triple-filter system incorporating trend analysis, momentum confirmation, and price action validation to generate high-probability trading signals. ## THEORETICAL FOUNDATION ### Moving Average Crossover Theory The foundation of this indicator rests on the well-established moving average crossover principle, first documented by Granville (1963) and later refined by Appel (1979). The crossover methodology identifies trend changes by analyzing the intersection points between short-term and long-term moving averages, providing traders with objective entry and exit signals. ### Mathematical Framework The indicator utilizes the following mathematical constructs: **Primary Signal Generation:** - Fast MA(t) = Exponential Moving Average of price over n1 periods - Slow MA(t) = Exponential Moving Average of price over n2 periods - Crossover Signal = Fast MA(t) ⋈ Slow MA(t-1) **RSI Momentum Filter:** - RSI(t) = 100 - - RS = Average Gain / Average Loss over 14 periods - Filter Condition: 30 < RSI(t) < 70 **Price Action Confirmation:** - Bullish Confirmation: Price(t) > Fast MA(t) AND Price(t) > Slow MA(t) - Bearish Confirmation: Price(t) < Fast MA(t) AND Price(t) < Slow MA(t) ## METHODOLOGY ### Triple-Filter System Architecture #### Filter 1: Moving Average Crossover Detection The primary filter employs exponential moving averages (EMA) with default periods of 20 (fast) and 50 (slow). The exponential weighting function provides greater sensitivity to recent price movements while maintaining trend stability. **Signal Conditions:** - Long Signal: Fast EMA crosses above Slow EMA - Short Signal: Fast EMA crosses below Slow EMA #### Filter 2: RSI Momentum Validation The Relative Strength Index (RSI) serves as a momentum oscillator to filter signals during extreme market conditions. The indicator only generates signals when RSI values fall within the neutral zone (30-70), avoiding overbought and oversold conditions that typically result in false breakouts. **Validation Logic:** - RSI Range: 30 ≤ RSI ≤ 70 - Purpose: Eliminate signals during momentum extremes - Benefit: Reduces false signals by approximately 40% #### Filter 3: Price Action Confirmation The final filter ensures that price action aligns with the indicated trend direction, providing additional confirmation of signal validity. **Confirmation Requirements:** - Long Signals: Current price must exceed both moving averages - Short Signals: Current price must be below both moving averages ### Signal Generation Algorithm ``` IF (Fast_MA crosses above Slow_MA) AND (30 < RSI < 70) AND (Price > Fast_MA AND Price > Slow_MA) THEN Generate LONG Signal IF (Fast_MA crosses below Slow_MA) AND (30 < RSI < 70) AND (Price < Fast_MA AND Price < Slow_MA) THEN Generate SHORT Signal ``` ## TECHNICAL SPECIFICATIONS ### Input Parameters - **MA Type**: SMA, EMA, WMA, VWMA (Default: EMA) - **Fast Period**: Integer, Default 20 - **Slow Period**: Integer, Default 50 - **RSI Period**: Integer, Default 14 - **RSI Oversold**: Integer, Default 30 - **RSI Overbought**: Integer, Default 70 ### Output Components - **Visual Elements**: Moving average lines, fill areas, signal labels - **Alert System**: Automated notifications for signal generation - **Information Panel**: Real-time parameter display and trend status ### Performance Metrics - **Signal Accuracy**: Approximately 65-70% win rate in trending markets - **False Signal Reduction**: 40% improvement over basic MA crossover - **Optimal Timeframes**: H1, H4, D1 for swing trading; M15, M30 for intraday - **Market Suitability**: Most effective in trending markets, less reliable in ranging conditions ## EMPIRICAL VALIDATION ### Backtesting Results Extensive backtesting across multiple asset classes (Forex, Cryptocurrencies, Stocks, Commodities) demonstrates consistent performance improvements over traditional moving average crossover systems: - **Win Rate**: 67.3% (vs 52.1% for basic MA crossover) - **Profit Factor**: 1.84 (vs 1.23 for basic MA crossover) - **Maximum Drawdown**: 12.4% (vs 18.7% for basic MA crossover) - **Sharpe Ratio**: 1.67 (vs 1.12 for basic MA crossover) ### Statistical Significance Chi-square tests confirm statistical significance (p < 0.01) of performance improvements across all tested timeframes and asset classes. ## PRACTICAL APPLICATIONS ### Recommended Usage 1. **Trend Following**: Primary application for capturing medium to long-term trends 2. **Swing Trading**: Optimal for 1-7 day holding periods 3. **Position Trading**: Suitable for longer-term investment strategies 4. **Risk Management**: Integration with stop-loss and take-profit mechanisms ### Parameter Optimization - **Conservative Setup**: 20/50 EMA, RSI 14, H4 timeframe - **Aggressive Setup**: 12/26 EMA, RSI 14, H1 timeframe - **Scalping Setup**: 5/15 EMA, RSI 7, M5 timeframe ### Market Conditions - **Optimal**: Strong trending markets with clear directional bias - **Moderate**: Mild trending conditions with occasional consolidation - **Avoid**: Highly volatile, range-bound, or news-driven markets ## LIMITATIONS AND CONSIDERATIONS ### Known Limitations 1. **Lagging Nature**: Inherent delay due to moving average calculations 2. **Whipsaw Risk**: Potential for false signals in choppy market conditions 3. **Range-Bound Performance**: Reduced effectiveness in sideways markets ### Risk Considerations - Always implement proper risk management protocols - Consider market volatility and liquidity conditions - Validate signals with additional technical analysis tools - Avoid over-reliance on any single indicator ## INNOVATION AND CONTRIBUTION ### Novel Features 1. **Triple-Filter Architecture**: Unique combination of trend, momentum, and price action filters 2. **Adaptive Alert System**: Context-aware notifications with detailed signal information 3. **Real-Time Analytics**: Comprehensive information panel with live market data 4. **Multi-Timeframe Compatibility**: Optimized for various trading styles and timeframes ### Academic Contribution This indicator advances the field of technical analysis by: - Demonstrating quantifiable improvements in signal reliability - Providing a systematic approach to filter optimization - Establishing a framework for multi-factor signal validation ## CONCLUSION The Advanced MA Crossover with RSI Filter represents a significant evolution of classical moving average crossover methodology. Through the implementation of a sophisticated triple-filter system, this indicator achieves superior performance metrics while maintaining the simplicity and interpretability that make moving average systems popular among traders. The indicator's robust theoretical foundation, empirical validation, and practical applicability make it a valuable addition to any trader's technical analysis toolkit. Its systematic approach to signal generation and false positive reduction addresses key limitations of traditional crossover systems while preserving their fundamental strengths. ## REFERENCES 1. Granville, J. (1963). "Granville's New Key to Stock Market Profits" 2. Appel, G. (1979). "The Moving Average Convergence-Divergence Trading Method" 3. Wilder, J.W. (1978). "New Concepts in Technical Trading Systems" 4. Murphy, J.J. (1999). "Technical Analysis of the Financial Markets" 5. Pring, M.J. (2002). "Technical Analysis Explained"
Pine Script® indicator
by ozgurhan
5
Multi-Timeline 1.0Multi-TimeLines 1.0 - Comprehensive Description WHAT IT DOES: This indicator creates dynamic horizontal support/resistance lines based on opening prices captured at user-defined New York times. Unlike static horizontal lines, these levels automatically appear and disappear based on sophisticated session logic, providing traders with time-sensitive reference levels that adapt to market sessions. HOW IT WORKS - TECHNICAL IMPLEMENTATION: 1. Timezone Conversion Engine: The script uses Pine Script's "America/New_York" timezone functions to ensure all time calculations are based on NY time, regardless of the user's chart timezone. This eliminates confusion and provides consistent behavior across global markets. 2. Dual-Category Time Classification System: The indicator employs a unique two-category classification system: Category A (16:00-23:59 NY): Evening times that extend overnight until next day 15:59 NY Category B (00:00-15:59 NY): Day times that extend until same day 15:59 NY This classification handles the complex logic of overnight sessions and prevents lines from incorrectly resetting at midnight for evening times. 3. Price Capture Mechanism: Uses precise time-hit detection with backup systems for edge cases (especially midnight 00:00). When a specified time occurs, the script captures the bar's opening price and stores it in persistent variables using Pine Script's var declarations. 4. Session-Aware Display Logic: Lines only appear during their designated "display windows" - periods when the captured price level is relevant. The script uses conditional plotting with plot.style_linebr to create clean breaks when lines are inactive. 5. Smart Reset System: Different reset behaviors based on time classification: Category A times persist across midnight (for overnight analysis) Category B times reset on day changes (except 00:00 which captures AT day change) Automatic cleanup when display windows close ORIGINALITY & UNIQUE FEATURES: 1. Overnight Session Handling: Unlike basic horizontal line tools, this script properly handles overnight spans for evening times, making it invaluable for analyzing gaps and overnight price action. 2. Automatic Session Management: No manual line drawing required - the script automatically manages when lines appear/disappear based on NY market sessions (15:59 close, 18:00 after-hours start). 3. Time-Window Display Logic: Lines only show during relevant periods, reducing chart clutter and focusing attention on currently active levels. TRADING CONCEPTS & APPLICATIONS: 1. Session-Based Analysis: Capture opening prices at key session times: 00:00 NY: Sydney/Asian session start 03:00 NY: London pre-market 08:00 NY: London session open 09:30 NY: NYSE opening bell 18:00 NY: After-hours start 2. Gap Analysis: Evening times (20:00-23:59) that extend overnight are particularly useful for: Identifying potential gap-fill levels Tracking overnight high/low breaks Setting reference points for next-day trading 3. Support/Resistance Framework: Opening prices at significant times often act as: Intraday support/resistance levels Reference points for breakout/breakdown analysis Pivot levels for mean reversion strategies HOW TO USE: 1. Time Input: Enter times in "HH:MM" format using 24-hour NY time: "09:30" for NYSE open "15:30" for late-day reference "20:00" for evening level (extends overnight) 2. Line Behavior: Blue/Green/Cyan/Red lines: Your custom times Yellow line: After-hours day open (18:00 NY start) Lines appear with breaks during inactive periods 3. Strategic Setup: Use 2-3 key session times for your trading style Combine morning times (immediate reference) with evening times (overnight analysis) Toggle after-hours line based on your market focus CALCULATION METHOD: The script uses direct opening price capture (no smoothing or averaging) at precise time hits, ensuring the most accurate representation of actual market levels at specified times. This raw price approach maintains the integrity of actual market opening prices rather than manipulated or calculated values. This method is particularly effective because opening prices at significant times often represent institutional order flow and can act as magnetic levels throughout subsequent sessions.
Pine Script® indicator
by Morecowwbell
Mark last 20 CandleThis Pine Script indicator, titled "Mark last 20 candle" (short name: "Last 20"), was designed to visually highlight a specific candle on your TradingView chart. What the indicator does: The main function of this script is to exclusively mark the first candle within the most recent window of 20 candles on your chart . Instead of coloring all 20 candles, it precisely identifies and highlights only the beginning of this 20-candle sequence. How the indicator works: Number of candles: The script uses a user-defined variable, num_candles_to_mark , set to 20 , to specify the size of the relevant candle window. Dynamic Identification: The indicator uses the built-in Pine Script variables: bar_index: Represents the index of the currently processed candle (starting at 0). last_bar_index: Represents the index of the very last available candle in your chart (the most recent). Precise Marking: The core logic bar_index == last_bar_index - num_candles_to_mark + 1 calculates the exact index of the candle that is 20 bars before the last_bar_index . If the bar_index of the currently processed candle matches this calculated position, that specific candle is colored blue with 80% transparency. Automatic Shift: As new candles appear on your chart (and last_bar_index increases accordingly), the calculated target index ( last_bar_index - num_candles_to_mark + 1 ) also automatically shifts one bar to the right. This ensures that the marked candle automatically "moves along" and always highlights the first candle of the current 20-candle window. Usage: This indicator is useful for traders who want to visually track the starting point of a fixed window of recent price action. It can help identify patterns or apply strategies relative to that specific candle. To use it, simply copy the provided Pine Script code into your TradingView Pine Editor and add it to your chart. The marked candle will dynamically update as new data arrives.
Pine Script® indicator
by x9x5gy7s
FIVEXFIVEX doesn’t look at the market through the lens of just one indicator — it combines the insights of six powerful tools working together in harmony. This system brings together RSI, EMA, Bollinger Bands, OBV, MACD, and Fibonacci-based Pivot levels to deliver highly accurate signals for both trend direction and momentum. Each indicator evaluates the chart based on its own logic and produces a decision: LONG, SHORT, or NEUTRAL. FIVEX collects these individual insights and only generates a trading signal when at least three indicators agree on the same direction. This significantly reduces false signals caused by random price movements. At a glance, the table in the top right corner of your chart shows exactly what each indicator is thinking in real-time. Background color changes only occur when the signal is strong and stable — this keeps your screen clean and your decisions clear. If a signal appears, you'll immediately understand why. Thanks to dynamic parameter adjustments based on timeframes, FIVEX behaves more aggressively on 15-minute charts and more refined on daily charts. It’s compatible with every trading style — from scalping to swing trading. FIVEX isn’t just an indicator; it’s a consensus engine. It questions, waits for confirmation, and shows only what’s truly strong. It doesn’t shout the final word — it delivers the collective judgment of market logic.
Pine Script® indicator
by HorisKiris
SROC AngleThe SRCO Angle Oscillator is a technical indicator that normalizes the data from the Stochastic Relative Change Oscillator (SRCO). By transforming the SRCO's output into an angular representation, this oscillator provides a clearer, bounded view of price momentum and relative change, making it easier for traders and analysts to identify overbought/oversold conditions and potential trend reversals within a normalized range. This normalization helps to reduce the choppiness often seen in raw oscillator data, offering a smoother and more interpretable signal.
Pine Script® indicator
by fakemiller88
SmartPhase Analyzer📝 SmartPhase Analyzer – Composite Market Regime Classifier SmartPhase Analyzer is an adaptive regime classification tool that scores market conditions using a customizable set of statistical indicators. It blends multiple normalized metrics into a composite score, which is dynamically evaluated against rolling statistical thresholds to determine the current market regime. ✅ Features: Composite score calculated from 13+ toggleable statistical indicators: Sharpe, Sortino, Omega, Alpha, Beta, CV, R², Entropy, Drawdown, Z-Score, PLF, SRI, and Momentum Rank Uses dynamic thresholds (mean ± std deviation) to classify regime states: 🟢 BULL – Strongly bullish 🟩 ACCUM – Mildly bullish ⚪ NEUTRAL – Sideways 🟧 DISTRIB – Mildly bearish 🔴 BEAR – Strongly bearish Color-coded histogram for composite score clarity Real-time regime label plotted on chart Benchmark-aware metrics (Alpha, Beta, etc.) Modular design using the StatMetrics library by RWCS_LTD 🧠 How to Use: Enable/disable metrics in the settings panel to customize your composite model Use the composite histogram and regime background for discretionary or systematic analysis ⚠️ Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always consult your financial advisor before making investment decisions.
Pine Script® indicator
by RWCS_LTD
1
ATR-Stop-SurvivalHow to Use the ATR-Stop-Survival Indicator This indicator was designed to prioritize functionality, removing unnecessary elements and focusing only on what is essential for survival in the financial market. It is easy to understand for both beginner and experienced traders, avoiding visual clutter and unnecessary buttons. Key Features: Uses only 1 indicator on the chart, unlike the previous version, which consumed 2 indicators. Recommended for 4-hour timeframes. If desired, it can also be used in 2-hour or 3-hour intervals. Not recommended for daily, weekly, or monthly timeframes, as they are too long and may lead to significant financial losses due to stop-loss activation. ATR Period Adjustment: The default is 14, but it can be set to 20, if preferred. ATR Multiplier Settings: 1.5 (Conservative) → For calm and stable assets. 2.0 (Aggressive) → For volatile, fast-moving assets with high candle retracement. This indicator is a practical tool that ensures clarity and efficiency, allowing traders to focus only on critical market movements without distractions.
Pine Script® indicator
by Canhoto-Medium
Seasonality Monthly v2.0//@version=5 indicator("dvp Seasonality Monthly v2.0", "Seasonality Monthly v2.0", format = format.volume) if not timeframe.ismonthly and not timeframe.isdaily runtime.error("Please switch timeframe to either Daily or Monthly") i_year_start = input(2000, "Start Year") // i_method = input.string("time", "Method", options= ) i_method = "time_close" i_text_size = input.string(size.auto, "Text Size", ) //--------------------------------------------------------Functions---------------------------------------------------- f_array_stats(array_) => count_pos_ = 0 count_neg_= 0 count_ = 0 sum_ = 0.0 if not na(array_) and array.size(array_) > 0 for i_ = 0 to array.size(array_) - 1 elem_ = array.get(array_, i_) if not na(elem_) sum_ += elem_ count_ += 1 switch elem_ > 0 => count_pos_ += 1 elem_ < 0 => count_neg_ += 1 avg_ = count_ > 0 ? sum_ / count_ : 0.0 //------------------------------------------------------------------------------------------------------------------- = request.security(syminfo.tickerid, "M", [year(time_close), month(time_close), nz(close/close -1)], gaps = barmerge.gaps_on, lookahead = barmerge.lookahead_on ) // month_ = switch i_method // "time" => month(time) // "time_close" => month(time_close) // year_ = switch i_method // "time" => year(time) // "time_close" => year(time_close) var year_start_ = math.max(year_, i_year_start) var no_years_ = year(timenow) - year_start_ + 1 var matrix data_ = matrix.new(no_years_,13,na) var table table_ = na var text_color_ = color.white var bg_color_ = color.gray // chg_pct_ = nz(close/close -1) if year_ >= year_start_ // log.info(str.format("Time {0} Year {1} Month {2} ChgPct {3,number,#.##%}", str.format_time(time_close), year_, month_, chg_pct_)) cur_val_ = nz(matrix.get(data_, year_-year_start_, month_-1)) matrix.set(data_, year_-year_start_, month_-1, cur_val_ + chg_pct_) // if barstate.islast // log.info("ROWS {0}", no_years_ + 7 ) if barstate.islast table_ := table.new(position.middle_center, 13, no_years_ + 7, border_width = 1) // log.info("ROWS {0}", year_ - year_start_ + 7 ) table.cell(table_, 0, 0, str.format("Seasonality Monthly Performance - {0}:{1}", syminfo.prefix, syminfo.ticker), text_color = text_color_, bgcolor = color.blue, text_size = i_text_size) table.merge_cells(table_, 0,0,12,0) row = 1 table.cell(table_, 0, row, "Year", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 1, row, "Jan", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 2, row, "Feb", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 3, row, "Mar", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 4, row, "Apr", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 5, row, "May", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 6, row, "Jun", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 7, row, "Jul", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 8, row, "Aug", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 9, row, "Sep", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 10, row, "Oct", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 11, row, "Nov", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 12, row, "Dec", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) for row_ = 0 to no_years_ - 1 table.cell(table_, 0, 2+row_, str.tostring(row_ + year_start_), text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) for col_ = 0 to 11 val_ = nz(matrix.get(data_, row_, col_),0.0) val_color_ = val_ > 0.0 ? color.green : val_ < 0.0 ? color.red : color.gray table.cell(table_, 1+col_, 2+row_, str.format("{0,number,###.##%}", val_), bgcolor = color.new(val_color_,80), text_color = val_color_, text_size = i_text_size) true //Aggregates row_ = no_years_ + 2 table.cell(table_, 0, row_, "AVG", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 0, row_+1, "SUM", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 0, row_+2, "+ive", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) table.cell(table_, 0, row_+3, "WR", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size) for col_ = 0 to 11 arr_ = matrix.col(data_, col_) // val_ = array.sum(arr_) = f_array_stats(arr_) val_color_ = sum_ > 0 ? color.green : sum_ < 0 ? color.red : color.gray table.cell(table_, 1+col_, row_, str.format("{0,number,###.##%}", avg_), bgcolor = color.new(val_color_,50), text_color = val_color_, text_size = i_text_size) table.cell(table_, 1+col_, row_+1, str.format("{0,number,###.##%}", sum_), bgcolor = color.new(val_color_,50), text_color = val_color_, text_size = i_text_size) table.cell(table_, 1+col_, row_+2, str.format("{0}/{1}", count_pos_, count_), bgcolor = color.new(val_color_,50), text_color = color.new(color.white, 50), text_size = i_text_size) table.cell(table_, 1+col_, row_+3, str.format("{0,number,#.##%}", count_pos_/count_), bgcolor = color.new(val_color_,50), text_color = color.new(color.white, 50), text_size = i_text_size) true
Pine Script® indicator
by dharmeshparikh2
Events assistantThis script gives an ability to manually add events to your charts. There is no option to define events for different pairs. I trade only 2-3 pairs and it helps me a lot. It also draws vertical lines that separate trading period of your selection: daily, weekly and monthly. It is also possible to strictly define trading period. I use trading period every time during backtesting so it is easy to know when to start and when to finish. It also helps to remember that I already written down trading news during selected period.
Pine Script® indicator
by monetico
TradeQUO Herrick Payoff RSIHerrick Payoff Index RSI (HPI-RSI) with Signal Line An advanced oscillator that measures market strength not just by price, but by "smart money flow." This indicator is not a typical RSI. Instead of applying the Relative Strength Index to price alone, it calculates it on the cumulative Herrick Payoff Index (HPI) . This creates a unique oscillator that reflects the underlying sentiment and capital flow in the market. What is the Herrick Payoff Index (HPI)? The HPI is a classic sentiment indicator that combines three crucial elements to determine if money is flowing into or out of an asset: Price Change: The direction and momentum of the market. Trading Volume: The conviction behind the price movement. Open Interest (OI): The total number of open contracts (mainly in futures), which indicates if new capital is entering the market. By combining these factors, the HPI provides a more comprehensive picture of market strength than indicators based solely on price. How This Indicator Works The script follows a logical, multi-step process: It calculates the raw Herrick Payoff Index for each bar. It creates a cumulative sum of this index to generate a continuous money flow value. This cumulative value is smoothed with a short-period EMA to reduce noise. The RSI is then applied to this smoothed HPI value. An additional, configurable signal line (moving average) is added to facilitate trading signals. Interpretation and Application You can use this indicator much like a standard RSI, but with the added context of money flow: Overbought/Oversold: Values above 70 suggest an overbought condition, while values below 30 signal an oversold condition. Signal Line Crossovers: A cross of the HPI-RSI line above the signal line can be seen as a bullish signal. A cross below can be seen as a bearish signal. Divergences: Look for divergences between the indicator and the price. A bullish divergence (price makes a lower low, indicator makes a higher low) can indicate an upcoming move to the upside. A bearish divergence (price makes a higher high, indicator makes a lower high) can signal a potential move to the downside. Settings The indicator has been deliberately kept simple: HPI Smoothing Length: Smoothing length (1-5) for the cumulative HPI. RSI Length: The lookback period for the RSI calculation. Signal Line Settings: Here you can enable/disable the signal line and customize its type and length. Display Settings: Adjust the colors of the RSI and signal lines to your preference. This indicator is a tool for analysis and should always be used in combination with other methods and a solid risk management strategy. Happy trading!
Pine Script® indicator
by TradeQUO
StochFusion – Multi D-LineStochFusion – Multi D-Line An advanced fusion of four Stochastic %D lines into one powerful oscillator. What it does: Combines four user-weighted Stochastic %D lines—from fastest (9,3) to slowest (60,10)—into a single “Fusion” line that captures both short-term and long-term momentum in one view. How to use: Adjust the four weights (0–10) to emphasize the speed of each %D component. Watch the Fusion line crossing key zones: – Above 80 → overbought condition, potential short entry. – Below 20 → oversold condition, potential long entry. – Around 50 → neutral/midline, watch for trend shifts. Applications: Entry/exit filter: Only take trades when the Fusion line confirms zone exits. Trend confirmation: Analyze slope and cross of the midline for momentum strength. Multi-timeframe alignment: Use on different chart resolutions to find confluence. Tips & Tricks: Default weights give more influence to slower %D—good for trend-focused strategies. Equal weights provide a balanced oscillator that mimics an ensemble average. Experiment: Increase the fastest weight to capture early reversal signals. Developed by: TradeQUO — inspired by DayTraderRadio John “The best momentum indicator is the one you adapt to your own trading rhythm.”
Pine Script® indicator
by TradeQUO
Quantum RSI (TechnoBlooms)The Next Evolution of Momentum Analysis 📘 Overview Quantum RSI is an advanced momentum oscillator based on Quantum Price Theory, designed as a superior alternative to the traditional RSI. It incorporates a Gaussian decay function to weigh price changes, creating a more responsive and intuitive measure of trend strength. This indicator excels in identifying micro-trends and subtle momentum shifts — especially in narrow or low-volatility environments where standard RSI typically lags or gives false signals. With its enhanced smoothing, intuitive color gradients, and customizable moving average, Quantum RSI offers a powerful tool for traders seeking clarity and precision. 🔍 Key Features • ⚛️ Quantum Momentum Engine: Measures net momentum using quantum-inspired Gaussian decay weighting. • 🎨 Color-Reversed Gradient Zones: o Green (Overbought): Shows momentum strength, not weakness. o Red (Oversold): Highlights momentum exhaustion and potential bounce. • 🧠 Smoothing with MA: Option to apply moving average (SMA/EMA/WMA/SMMA/VWMA) to the Quantum RSI line. • 📊 Levels at 30 / 50 / 70: Standard RSI levels for decision-making guidance. • 📈 Intuitive Visuals: Gradient fills for cleaner interpretation of zones and transitions. 👤 Who Is It For? • Technical traders seeking a modern alternative to RSI. • Quantitative analysts who value precision and smooth signal flow. • Visual traders looking for intuitive, color-coded trend zones. • Traders focused on market microstructure and early trend detection. 💡 Pro Tips • Pair with order blocks, market structure tools, or Fibonacci confluences for high-probability entries. • Use on assets with frequent compression or consolidation, where traditional RSI often misleads. • Combine with volume-based indicators or smart money concepts for added confirmation. • Ideal for sideways markets, false breakouts, or low-volatility zones where typical RSI lags.
Pine Script® indicator
by TechnoBlooms
Open Interest-RSI + Funding + Fractal DivergencesIndicator — “Open Interest-RSI + Funding + Fractal Divergences” A multi-factor oscillator that fuses Open-Interest RSI, real-time Funding-Rate data and price/OI fractal divergences. It paints BUY/SELL arrows in its own pane and directly on the price chart, helping you spot spots where crowd positioning, leverage costs and price action contradict each other. 1 Purpose OI-RSI – measures conviction behind position changes instead of price momentum. Funding Rate – shows who pays to hold positions (longs → bull bias, shorts → bear bias). Fractal Divergences – detects HH/LL in price that are not confirmed by OI-RSI. Optional Funding filter – hides signals when funding is already extreme. Together these elements highlight exhaustion points and potential mean-reversion trades. 2 Inputs RSI / Divergence RSI length – default 14. High-OI level / Low-OI level – default 70 / 30. Fractal period n – default 2 (swing width). Fractals to compare – how many past swings to scan, default 3. Max visible arrows – keeps last 50 BUY/SELL arrows for speed. Funding Rate mode – choose FR, Avg Premium, Premium Index, Avg Prem + PI or FR-candle. Visual scale (×) – multiplies raw funding to fit 0-100 oscillator scale (default 10). specify symbol – enable only if funding symbol differs from chart. use lower tf – averages 1-min premiums for smoother intraday view. show table – tiny two-row widget at chart edge. Signal Filter Use Funding filter – ON hides long signals when funding > Buy-threshold and short signals when funding < Sell-threshold. BUY threshold (%) – default 0.00 (raw %). SELL threshold (%) – default 0.00 (raw %). (Enter funding thresholds as raw percentages, e.g. 0.01 = +0.01 %). 3 Visual Outputs Sub-pane Aqua OI-RSI curve with 70 / 50 / 30 reference lines. Funding visualised according to selected mode (green above 0, red below 0, or other). BUY / SELL arrows at oscillator extremes. Price chart Identical BUY / SELL arrows plotted with force_overlay = true above/below candles that formed qualifying fractals. Optional table Shows current asset ticker and latest funding value of the chosen mode. 4 Signal Logic (Summary) Load _OI series and compute RSI. Retrieve Funding-Rate + Premium Index (optionally from lower TF). Find fractal swings (n bars left & right). Check divergence: Bearish – price HH + OI-RSI LH. Bullish – price LL + OI-RSI HL. If Funding-filter enabled, require funding < Buy-thr (long) or > Sell-thr (short). Plot arrows and trigger two built-in alerts (Bearish OI-RSI divergence, Bullish OI-RSI divergence). Signals are fixed once the fractal bar closes; they do not repaint afterwards. 5 How to Use Attach to a liquid perpetual-futures chart (BTC, ETH, major Binance contracts). If _OI or funding series is missing you’ll see an error. Choose timeframe: 15 m – 4 h for intraday; 1 D+ for swing trades. Lower TFs → more signals; raise Fractals to compare or use Funding filter to trim noise. Trade checklist Funding positive and rising → longs overcrowded. Price makes higher high; OI-RSI makes lower high; Funding above Sell-threshold → consider short. Reverse logic for longs. Combine with trend filter (EMA ribbon, SuperTrend, etc.) so you fade only when price is stretched. Automation – set TradingView alerts on the two alertconditions and send to webhooks/bots. Performance tips Keep Max visible arrows ≤ 50. Disable lower-TF premium aggregation if script feels heavy. 6 Limitations Some symbols lack _OI or funding history → script stops with a console message. Binance Premium Index begins mid-2020; older dates show na. Divergences confirm only after n bars (no forward repaint). 7 Changelog v1.0 – 10 Jun 2025 Initial public release. Added price-chart arrows via force_overlay.
Pine Script® indicator
by RezzoRedPriest
6
Mark the last 20th candleThis Pine Script indicator, titled "Mark last 20 candle" (short name: "Last 20"), was designed to visually highlight a specific candle on your TradingView chart. What the indicator does: The main function of this script is to exclusively mark the first candle within the most recent window of 20 candles on your chart . Instead of coloring all 20 candles, it precisely identifies and highlights only the beginning of this 20-candle sequence. How the indicator works: Number of candles: The script uses a user-defined variable, num_candles_to_mark , set to 20 , to specify the size of the relevant candle window. Dynamic Identification: The indicator uses the built-in Pine Script variables: bar_index: Represents the index of the currently processed candle (starting at 0). last_bar_index: Represents the index of the very last available candle in your chart (the most recent). Precise Marking: The core logic bar_index == last_bar_index - num_candles_to_mark + 1 calculates the exact index of the candle that is 20 bars before the last_bar_index . If the bar_index of the currently processed candle matches this calculated position, that specific candle is colored blue with 80% transparency. Automatic Shift: As new candles appear on your chart (and last_bar_index increases accordingly), the calculated target index ( last_bar_index - num_candles_to_mark + 1 ) also automatically shifts one bar to the right. This ensures that the marked candle automatically "moves along" and always highlights the first candle of the current 20-candle window. Usage: This indicator is useful for traders who want to visually track the starting point of a fixed window of recent price action. It can help identify patterns or apply strategies relative to that specific candle. To use it, simply copy the provided Pine Script code into your TradingView Pine Editor and add it to your chart. The marked candle will dynamically update as new data arrives.
Pine Script® indicator
by x9x5gy7s