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Moving Averages

Moving Averages

4-EMA Signals + MTF Analysis 4-EMA Signals + MTF Analysis Indicator: User Guide This indicator is designed for active traders; from scalpers / intra-day traders to swing-traders who simply want an easy to understand, simple, but yet comprehensive and easy-to-understand indicator with a quick overview of initial market momentum and overall market direction to assist the trader in their initial trading. The main feature of this indicator is that It overlays four exponential moving averages (EMAs), and provides a dashboard of real-time trend signals for both buy and sell (long/short) scenarios. Settings Overview MA Period Setup Custom: Set your own EMA periods. Conservative, Aggressive, Fibonacci: Quickly apply preset EMA period combinations for different trading styles. EMA Periods (Custom Setup) Fast EMA: Shortest EMA, reacts quickly to price (default 7). Medium-Short EMA: Intermediate speed (default 25). Medium-Long EMA: Slower, filters out more noise (default 70). Slow EMA: Longest-term trend (default 200). (These settings can be adjusted to suit your individual needs) Main Indicator Features Four EMAs : Plotted in distinct colors (green, yellow, orange, red) for quick trend recognition - this can be altered in colour to your personal preferences. Buy/Sell Signals : Triangles appear below/above bars when EMA crossovers occur, optionally filtered by volume - the volume filter when applied greatly reduces the influx of signals, only giving high-quality signals! Trading Sessions + Backgrounds : A trading session feature has been added: (London, New York, Asia, Sydney) with the choice of a background to indicate each global trading session. Volume Overlay : Volume bars and a blue volume moving average line for context. Dashboard Table (Top Right): Market Direction: Shows the overall EMA alignment (bullish, bearish, weak, consolidating). The initial trend on the 5m, 15m, 1H, and 4H time-frame to give a quick snapshot of overall trend direction. How to Use Trend Identification : -- Use the EMA alignment and dashboard table to quickly see if the market is bullish, bearish, or consolidating. EMA Set-up -- Adjust the EMA settings to your specific requirements, the signals will alter depending on the volatility of the instrument your trading. Signal Confirmation : -- ''Buy'' signals simply appear when the faster EMAs cross above slower EMAs in and ''Sell'' signals simply appear when they cross below. Volume Context : --Use the volume moving average and the optional volume filter to avoid signals during low-activity periods. No Repainting : -- All signals and dashboard readings are calculated using only confirmed, closed bars. What you see in real time is exactly what will appear in your back-test — no repainting or look-ahead bias. Alerts / Notifications Now for the fun part: 1. Enable Buy/Sell Signal Alerts: Get notifications when buy or sell signals occur. 2. For Alerts to function correctly, set the ''condition'' to the indicator itself. 3. Select ''EMA Bearish Cross'' or ''EMA Bullish Cross'' depending whether you want alerts for either buy/sell signals - Or one can simply set alerts for both scenarios. 4. For ''Interval'' set to ''Same as chart'' - So, the time-frame which you'd like to trade on. 5. For ''Trigger'' set to ''Once Per Bar Close''. 6. Save. 7. Wait for a signal to occur! NOTE: Before placing a trade, it's often best to also assess the market conditions at that time also - and not rely solely on the signals, the signals are to assist, and it's often occurred a signal has shown, but a pull-back occurs, and a FVG in discount holds -- it's this FVG holding, accompanied by volume, that's the real entry, possibly. Tip: For the cleanest results, use the indicator during the most active sessions and always check multi-time-frame trend alignment before entering trades. Good Luck! :)

Pine Script® indicator

Updated

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

M2 GLI SD Bands Highly customizable M2 Global Liquidity Index with adaptive standard deviation bands. The SD bands incorporate data from M2 with varying lags to capture M2's full impact on the price of Bitcoin spread across multiple weeks. EMAs are used for smoothing. Offset, smoothing, and other features are customizable.

Pine Script® indicator

Price Imbalance Flow Tracker (PIFT)Price Imbalance Flow Tracker (PIFT) PIFT is a visual volatility and structure indicator that maps market imbalance zones using dynamic envelope logic. It plots three sets of envelope bands derived from different moving averages — short, medium, and long — with volatility-based offsets scaled by ATR. These envelopes adapt in real time to reflect momentum expansion, compression, and directional pressure. - The system highlights only the dominant envelope layer at any given moment (short cancels medium/long, medium cancels long) to reduce clutter and help you focus on the most reactive structure. - There’s also a central yellow zone representing the core trend channel — a tighter band derived from the short MA, helping you track price containment and breakout zones. - The green and red fills show where price is expanding beyond core levels, acting as pressure zones. These fills compress during consolidations and widen during impulse moves, giving you a clean read on momentum shifts. You can toggle: - Full grid view (all envelopes) - Core channel only - Price tracks (moving averages) - Dynamic pressure zones Use PIFT to: - Identify clean trend continuation inside the yellow zone - Spot momentum exhaustion when price rides the outer bands - Filter false moves when fills contract but price keeps drifting - See structure shifts before standard indicators like Bollinger Bands react This isn’t just another moving average overlay. It’s a dynamic envelope hierarchy built for traders who want to read price flow — not just lagging trend direction. See the following images for a more in-depth breakdown. 1.) 2.) 3.) 4.) 5.) 6.) 7.) 8.) 9.) 10.) 11.) 12.) 13.) 14.)

Pine Script® indicator

by Sherlock_MacGyver

Updated

Uptrick: Mean Reversion Overview Uptrick: Mean Reversion is a technical indicator designed to identify statistically significant reversal opportunities by monitoring market extremes. It presents a unified view of multiple analytical layers—momentum shifts, extreme zones, divergence patterns, and a multi-factor bias dashboard—within a single pane. By translating price momentum into a normalized framework, it highlights areas where prices are likely to revert to their average range. Introduction Uptrick: Mean Reversion relies on several core concepts: Volatility normalization The indicator rescales recent market momentum into a common scale so that extreme readings can be interpreted consistently across different assets and timeframes. Mean reversion principle Markets often oscillate around an average level. When values stray too far beyond typical ranges, a return toward the mean is likely. Uptrick: Mean Reversion detects when these extremes occur. Momentum inflection Sharp changes in momentum direction frequently presage turning points. The indicator watches for shifts from upward momentum to downward momentum (and vice versa) to help time entries and exits. Divergence When price trends and internal momentum readings move in opposite directions, it can signal weakening momentum and an impending reversal. Uptrick: Mean Reversion flags such divergence conditions directly on the indicator pane. Multi-factor sentiment No single metric tells the entire story. By combining several independent sentiment measures—price structure, momentum, oscillators, and external market context—Uptrick: Mean Reversion offers a more balanced view of overall market bias. Purpose Uptrick: Mean Reversion was created for traders who focus on countertrend opportunities rather than simply following established trends. Its main objectives are: Spot extreme conditions By normalizing momentum into a standardized scale, the indicator clearly marks when the market is in overbought or oversold territory. These conditions often align with points where a snapback toward average is more probable. Provide reversal signals Built-in logic detects when momentum shifts direction within extreme zones and displays clear buy or sell markers to guide countertrend entries and exits. Highlight hidden divergences Divergence between price and internal momentum can suggest underlying weakness or strength ahead of actual price moves. Uptrick: Mean Reversion plots these divergences directly, allowing traders to anticipate reversals earlier. Offer contextual bias A dynamic dashboard aggregates multiple independent indicators—based on recent price action, momentum readings, common oscillators, and broader market context—to produce a single sentiment label. This helps traders determine whether mean reversion signals align with or contradict overall market conditions. Cater to lower timeframes Mean reversion tends to occur more frequently and reliably on shorter timeframes (for example, 5-minute, 15-minute, or 1-hour charts). Uptrick: Mean Reversion is optimized for these nimble environments, where rapid reversals can be captured before a larger trend takes hold. Originality and Uniqueness Uptrick: Mean Reversion stands out for several reasons: Proprietary normalization framework Instead of relying on raw oscillator values, it transforms momentum into a standardized scale. This ensures that extreme readings carry consistent meaning across different assets and volatility regimes. Inflection-based signals The indicator waits for a clear shift in momentum direction within extreme zones before plotting reversal markers. This approach reduces false signals compared to methods that rely solely on fixed threshold crossings. Embedded divergence logic Divergence detection is handled entirely within the same pane. Rather than requiring a separate indicator window, Uptrick: Mean Reversion identifies instances where price and internal momentum readings do not align and signals those setups directly on the chart. Adjustable sensitivity profiles Traders can choose from predefined risk profiles—ranging from very conservative to very aggressive—to automatically adjust how extreme a reading must be before triggering a signal. This customization helps balance between capturing only the most significant reversals or generating more frequent, smaller opportunities. Multi-factor bias dashboard While many indicators focus on a single metric, Uptrick: Mean Reversion aggregates five distinct sentiment measures. By balancing price-based bias, momentum conditions, and broader market context, it offers a more nuanced view of when to take—or avoid—countertrend trades. Why Indicators Were Merged Proprietary momentum oscillator A custom-built oscillator rescales recent price movement into a normalized range. This core component underpins all signal logic and divergence checks, allowing extreme readings to be identified consistently. Inflection detection By comparing recent momentum values over a configurable lookback interval, the indicator identifies clear shifts from rising to falling momentum (and vice versa). These inflection points serve as a prerequisite for reversal signals when combined with extreme conditions. Divergence framework Local peaks and troughs are identified within the normalized oscillator and compared to corresponding price highs and lows. When momentum peaks fail to follow price to new extremes (or vice versa), a divergence alert appears, suggesting weakening momentum ahead of a price turn. Classic price bias Recent bar structures are examined to infer whether the immediate past price action was predominantly bullish, bearish, or neutral. This provides one piece of the overall sentiment picture. Smoothed oscillator bias A secondary oscillator reading is smoothed and compared to a central midpoint to generate a simple bullish or bearish reading. Range-based oscillator bias A familiar range-bound oscillator is used to detect oversold or overbought readings, contributing to the sentiment score. Classic momentum crossover bias A traditional momentum check confirms whether momentum currently leans bullish or bearish. External market trend bias The indicator monitors a major currency’s short-term trend to gauge broader market risk appetite. A falling currency—often associated with higher risk tolerance—contributes a bullish bias point, while a rising currency adds a bearish point. All these elements run concurrently. Each piece provides a “vote” toward an overall sentiment reading. At the same time, the proprietary momentum oscillator drives both extreme-zone detection and divergence identification. By merging these inputs, the final result is a single pane showing both precise reversal signals and a unified market bias. How It Works At runtime, the indicator proceeds through the following conceptual steps: Read user inputs (risk profile, lookback index, visual mode, color scheme, background highlighting, bias table display, divergence toggles). Fetch the latest price data. Process recent price movement through a proprietary normalization engine to produce a single, standardized momentum reading for each bar. Track momentum over a configurable lookback interval to detect shifts in direction. Compare the current momentum reading to dynamically determined extreme thresholds (based on the chosen risk profile). If momentum has flipped from down to up within an oversold area, display a discrete buy marker. If momentum flips from up to down within an overbought area, display a sell marker. Identify local peaks and troughs in the proprietary momentum series and compare to price highs and lows over a configurable range. When divergence criteria are met, display bullish or bearish divergence labels Evaluate five independent sentiment measures—price bar bias, smoothed oscillator bias, range oscillator bias, traditional momentum crossover bias, and an external market trend bias—and assign each a +1 (bullish), –1 (bearish), or 0 (neutral) vote. Average the five votes to produce an overall sentiment score. If the average exceeds a positive threshold, label the bias as bullish; if it falls below a negative threshold, label it as bearish; otherwise label it neutral. Update the on-screen bias table at regular intervals, showing each individual metric’s value and vote, as well as the combined sentiment label. Apply color fills to highlight extreme zones in the background and draw horizontal guideline bands around those extremes. In complex visual mode, draw a cloud-like band that instantly changes color when momentum shifts. In simple mode, plot only a clean line of the normalized reading in a contrasting color. Expose alert triggers whenever a buy/sell signal, divergence confirmation, or bias flip occurs, for use in automated notifications. Inputs Here is how each input affects the indicator: Trading Style (very conservative / conservative / neutral / aggressive / very aggressive) Determines how sensitive the indicator is to extreme readings. Conservative settings require more pronounced market deviations before signaling a reversal; aggressive settings signal more frequently at smaller deviations. Slope Detection Index (integer) Controls how many bars back the indicator looks to compare momentum for inflection detection. Lower numbers respond more quickly but can be noisy; higher numbers smooth out short-term fluctuations. Visual Mode (simple / complex) Simple mode plots only the normalized momentum line, colored according to the chosen palette. Complex mode draws a candle-style block for each bar—showing the range of momentum movement within that bar—with colored fills that switch instantly when momentum direction changes. Color Scheme (multiple themes) Select from preset color palettes to style bullish vs. bearish elements (fills, lines, labels). Options include bright neon tones, classic contrasting pairs, dark-mode palettes, and more, ensuring signals stand out against any chart background. Enable Background Highlighting (true / false) When true, extreme overbought or oversold zones are shaded in a semi-transparent color behind the main pane. This helps traders “see” when the market is in a normalized extreme state without relying solely on lines or markers. Show Helper Scale Lines (true / false) When true, hidden horizontal lines force the vertical scale to include a fixed range of extreme values—even if the indicator rarely reaches them—so traders always know where the most extreme limits lie. Enable Divergence Detection (true / false) Toggles whether the script looks for divergences between price and the proprietary momentum reading. When enabled, bullish/bearish divergence markers appear automatically whenever defined conditions are met. Pivot Lookback Left & Pivot Lookback Right (integers) Define how many bars to the left and right the indicator examines when identifying a local peak or trough in the momentum reading. Adjust these to capture divergences on different swing lengths. Minimum and Maximum Bars Between Pivots (integers) Set the minimum and maximum number of bars allowed between two identified peaks or troughs for a valid divergence. This helps filter out insignificant or overly extended divergence patterns. Show Bias Table (true / false) When enabled, displays a small table in the upper-right corner summarizing five independent sentiment votes and the combined bias label. Disable to keep the pane focused on only the momentum series and signals. Features 1. Extreme-zone highlighting Overbought and oversold areas appear as colored backgrounds when the proprietary momentum reading crosses dynamically determined thresholds. This gives an immediate visual cue whenever the market moves into a highly extreme condition. 2. Discrete reversal markers Whenever momentum shifts direction within an extreme zone, the indicator plots a concise “Buy” or “Sell” label directly on the normalized series. These signals combine both extreme-zone detection and inflection confirmation, reducing false triggers. 3. Dynamic divergence flags Local peaks and troughs of the proprietary momentum reading are continuously compared to corresponding price points. Bullish divergence (momentum trough rising while price trough falls) and bearish divergence (momentum peak falling while price peak rises) are flagged with small labels and lines. These alerts help traders anticipate reversals before price charts show clear signals. 4. Multi-factor sentiment dashboard Five independent “votes” are tallied each bar: • Price bar bias (based on recent bar structure) • Smoothed oscillator bias (based on a popular momentum oscillator) • Range oscillator bias (based on an overbought/oversold oscillator) • Traditional momentum crossover bias (whether momentum is above or below its own smoothing) • External market trend bias (derived from a major currency index’s short-term trend) Each vote is +1 (bullish), –1 (bearish), or 0 (neutral). The average of these votes produces an overall sentiment label (Bullish, Bearish, or Neutral). The table updates periodically, showing each metric’s value, its vote, and the combined bias. 5. Versatile visual modes Simple mode: Plots a single normalized momentum line in a chosen color. Ideal for clean charts. Complex mode: Renders each bar’s momentum range as a candle-like block, with filled bodies that immediately change color when momentum direction flips. Edge lines emphasize the high/low range of momentum for that bar. This mode makes subtle momentum shifts visually striking. 6. Configurable sensitivity profiles Five risk profiles (very conservative → very aggressive) automatically adjust how extreme the momentum reading must be before signaling. Conservative traders can wait for only the most dramatic reversals, while aggressive traders can capture more frequent, smaller mean-reversion moves. 7. Customizable color palettes Twenty distinct color themes let users match the indicator to any chart background. Each theme defines separate colors for bullish fills, bearish fills, the momentum series, and divergence labels. Options range from classic contrasting pairs to neon-style palettes to dark-mode complements. 8. Unified plotting interface Instead of scattering multiple indicators in separate panes, Uptrick: Mean Reversion consolidates everything—normalized momentum, background shading, threshold bands, reversal labels, divergence flags, and bias table—into a single indicator pane. This reduces screen clutter and places all relevant information in one view. 9. Built-in alert triggers Six alert conditions are exposed: Mean reversion buy signal (momentum flips in oversold zone) Mean reversion sell signal (momentum flips in overbought zone) Bullish divergence confirmation Bearish divergence confirmation Bias flip to bullish (when combined sentiment shifts from non-bullish to bullish) Bias flip to bearish (when combined sentiment shifts from non-bearish to bearish) Traders can attach alerts to any of these conditions to receive real-time notifications. 10. Scale anchoring By forcing invisible horizontal lines at fixed extreme levels, the indicator ensures that the vertical axis always includes those extremes—even if the normalized reading rarely reaches them. This constant frame of reference helps traders judge how significant current readings are. Line features: Conclusion Uptrick: Mean Reversion offers a layered, all-in-one approach to spotting countertrend opportunities. By converting price movement into a proprietary normalized momentum scale, it highlights extreme overbought and oversold zones. Inflection detection within those extremes produces clear reversal markers. Embedded divergence logic calls out hidden momentum weaknesses. A five-factor sentiment dashboard helps gauge whether a reversal signal aligns with broader market context. Users can tailor sensitivity, visual presentation, and color schemes, making it equally suitable for minimalist or richly detailed chart layouts. Optimized for lower timeframes, Uptrick: Mean Reversion helps traders anticipate statistically significant mean reversion moves. Disclaimer This indicator is provided for informational purposes only. It does not guarantee any trading outcome. Trading carries inherent risks, including the potential loss of invested capital. Users should perform their own due diligence, apply proper risk management, and consult a financial professional if needed. Past performance does not ensure future results.

Pine Script® indicator

Breakout Trend TiltFolio Breakout Trend indicator The Breakout Trend indicator is designed to help traders clearly visualize trend direction by combining two complementary techniques: moving averages and Donchian-style breakout logic. Rather than relying on just one type of signal, this indicator merges short-term and long-term moving averages with breakout levels based on recent highs and lows. The moving averages define the broader trend regime, while the breakout logic pinpoints moments when price confirms directional momentum. This layered approach filters out many false signals while still capturing high-conviction moves. Yes, these are lagging indicators by design — and that’s the point. Instead of predicting every wiggle, the Breakout Trend waits for confirmation, offering higher signal quality and fewer whipsaws. When the price breaks above a recent high and sits above the long-term moving average, the trend is more likely to persist. That’s when this indicator shines. While it performs best on higher timeframes (daily/weekly), it's also adaptable to shorter timeframes for intraday traders who value clean, systematic trend signals. For early signal detection, we recommend pairing this with TiltFolio’s Buying/Selling Proxy, which anticipates pressure buildups—albeit with more noise. It's easy to read and built for real-world trading discipline.

Pine Script® indicator

BACAP PRICE STRUCTURE 21 EMA TREND 21dma-STRUCTURE Overview The 21dma-STRUCTURE indicator is a sophisticated overlay indicator that visualizes price action relative to a triple 21-period exponential moving average structure. Originally developed by BalarezoCapital and enhanced by PrimeTrading, this indicator provides clear visual cues for trend direction and momentum through dynamic bar coloring and EMA structure analysis. Key Features Triple EMA Structure - 21 EMA High: Tracks the exponential moving average of high prices - 21 EMA Close: Tracks the exponential moving average of closing prices - 21 EMA Low: Tracks the exponential moving average of low prices - Dynamic Cloud: Gray fill between high and low EMAs for visual structure reference Smart Bar Coloring System - Blue Bars: Price closes above all three EMAs (strong bullish momentum) - Pink Bars: Daily high falls below the lowest EMA (strong bearish signal) - Gray Bars: Neutral conditions or transitional phases - Color Memory: Maintains previous color until new condition is met Dynamic Center Line - Trend-Following Color: Green when all EMAs are rising, red when all are falling - Color Persistence: Maintains trend color during sideways movement - Visual Clarity: Thicker center line for easy trend identification Customizable Visual Elements - Adjustable line thickness for all EMA plots - Customizable colors for bullish and bearish conditions - Configurable trend colors for uptrend and downtrend phases - Optional bar color changes with toggle control How to Use Trend Identification - Rising Green Center Line: All EMAs trending upward (bullish structure) - Falling Red Center Line: All EMAs trending downward (bearish structure) - Flat Center Line: Maintains last trend color during consolidation Momentum Analysis - Blue Bars: Strong bullish momentum with price above entire EMA structure - Pink Bars: Strong bearish momentum with high below lowest EMA - Gray Bars: Neutral or transitional momentum phases Entry and Exit Signals - Bullish Setup: Look for blue bars during green center line periods - Bearish Setup: Look for pink bars during red center line periods - Exit Consideration: Watch for color changes as potential momentum shifts Structure Trading - Support/Resistance: Use EMA cloud as dynamic support and resistance zones - Breakout Confirmation: Bar color changes can confirm structure breakouts - Trend Continuation: Color persistence suggests ongoing momentum Settings Visual Customization - Change Bar Color: Toggle to enable/disable bar coloring - Line Size: Adjust thickness of EMA lines (default: 3) - Bullish Candle Color: Customize blue bar color - Bearish Candle Color: Customize pink bar color Trend Colors - Uptrend Color: Color for rising EMA center line (default: green) - Downtrend Color: Color for falling EMA center line (default: red) - Cloud Color: Fill color between high and low EMAs (default: gray) Advanced Features Modified Bar Logic Unlike traditional EMA systems, this indicator uses refined conditions: - Bullish signals require close above ALL three EMAs - Bearish signals require high below the LOWEST EMA - Enhanced precision reduces false signals compared to single EMA systems Trend Memory System - Intelligent color persistence during sideways movement - Reduces noise from minor EMA fluctuations - Maintains trend context during consolidation periods Performance Optimization - Efficient calculation methods for real-time performance - Clean visual design that doesn't clutter charts - Compatible with all timeframes and instruments Best Practices Multi-Timeframe Analysis - Use higher timeframes to identify overall trend direction - Apply on multiple timeframes for confluence - Combine with weekly/monthly charts for position trading Risk Management - Use bar color changes as early warning signals - Consider position sizing based on EMA structure strength - Set stops relative to EMA support/resistance levels Combination Strategies - Pair with volume indicators for confirmation - Use alongside RSI or MACD for momentum confirmation - Combine with key support/resistance levels Market Context - More effective in trending markets than choppy conditions - Consider overall market environment and sector strength - Adjust expectations during high volatility periods Technical Specifications - Based on 21-period exponential moving averages - Uses Pine Script v6 for optimal performance - Overlay indicator that works with any chart type - Maximum 500 lines for clean performance Ideal Applications - Swing trading on daily charts - Position trading on weekly charts - Intraday momentum trading (adjust timeframe accordingly) - Trend following strategies - Structure-based trading approaches Disclaimer This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management, and consider your individual trading plan and risk tolerance. Compatible with Pine Script v6 | Works on all timeframes | Optimized for trending markets

Pine Script® indicator

by Alex_PrimeTrading

Multi-Timeframe 20 EMA Horizontal Lines Overview This Multi-Timeframe 20 EMA indicator provides intelligent trend analysis by displaying your current timeframe EMA alongside relevant higher timeframe EMA levels as horizontal support/resistance lines. On lower timeframes, you see all higher EMA levels for comprehensive multi-timeframe confluence, while on higher timeframes, it filters out lower timeframe noise to maintain focus on macro trends. This allows traders to align short-term entries with long-term market structure, identifying high-probability setups where multiple timeframe EMAs converge while using the current timeframe EMA for precise timing. Feature Multi-Timeframe Horizontal EMA Lines The indicator fetches and displays 20 EMAs from five higher timeframes: Daily (D): Daily 20 EMA Weekly (W): Weekly 20 EMA Monthly (M): Monthly 20 EMA Quarterly (Q): 3-Month 20 EMA Half-Yearly (HY): 6-Month 20 EMA Intelligent Timeframe Filtering Smart Display Logic: Only shows EMAs from timeframes higher than your current chart timeframe Prevents Redundancy: Automatically filters out lower timeframe EMAs to avoid clutter Example: On a 4-hour chart, you'll see Daily, Weekly, Monthly, Quarterly, and Half-Yearly EMAs, but on a Weekly chart, you'll only see Weekly and higher timeframes Half-Yearly (HY): 6-Month 20 EMA Shows only current timeframe EMA with half-yearly horizontal line, filtering out all lower timeframes. Quarterly (Q): 3-Month 20 EMA Displays current timeframe EMA with quarterly and higher horizontal lines, hiding monthly, weekly, and daily EMAs. Monthly (M): Monthly 20 EMA Shows current timeframe EMA with monthly and higher horizontal EMAs, excluding weekly and daily timeframes. Weekly (W): Weekly 20 EMA Displays current timeframe EMA with weekly and higher horizontal EMA lines, filtering out daily timeframe. Daily (D): Shows current timeframe EMA with all higher timeframe horizontal EMAs (daily, weekly, monthly, quarterly, half-yearly). Note: Make sure to enable Price-Line in Style Settings after Importing Script.

Pine Script® indicator

Chebyshev-Gauss Convergence Divergence The Chebyshev-Gauss Convergence Divergence is a momentum indicator that leverages the Chebyshev-Gauss Moving Average (CG-MA) to provide a smoother and more responsive alternative to traditional oscillators like the MACD. For more information see the moving average script: How it works: It calculates a fast CG-MA and a slow CG-MA. The CG-MA uses Gauss-Chebyshev quadrature to compute a weighted average, which can offer a better trade-off between lag and smoothness compared to simple or exponential MAs. The Oscillator line is the difference between the fast CG-MA and the slow CG-MA. A Signal Line, which is a simple moving average of the Oscillator line, is plotted to show the average trend of the oscillator. A Histogram is plotted, representing the difference between the Oscillator and the Signal Line. The color of the histogram bars changes to indicate whether momentum is strengthening or weakening. How to use: Crossovers: A buy signal can be generated when the Oscillator line crosses above the Signal line. A sell signal can be generated when it crosses below. Zero Line: When the Oscillator crosses above the zero line, it indicates upward momentum (fast MA is above slow MA).When it crosses below zero, it indicates downward momentum. Divergence: Like with the MACD, look for divergences between the oscillator and price action to spot potential reversals. Histogram: The histogram provides a visual representation of the momentum. When the bars are growing, momentum is increasing. When they are shrinking, momentum is fading.

Pine Script® indicator

Chebyshev-Gauss Moving Average This indicator applies the principles of Chebyshev-Gauss Quadrature to create a novel type of moving average. Inspired by reading rohangautam.github.io What is Chebyshev-Gauss Quadrature? It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes. How is this applied to a Moving Average? A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as: Mean = / The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes: Mean = (1/n) * Σ f(xᵢ) What's unique about this MA? The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.

Pine Script® indicator

Updated

8EMA/VWAP14 Oscillator w/ Trend Exhaustion Bands 8EMA/VWAP14 Oscillator w/ Trend Exhaustion Bands + Performance Screener Introducing the 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands + Screener Suite - a comprehensive trading system that combines trend identification, momentum analysis, and real-time performance tracking all in one indicator. This system features a four-tier signal approach: early momentum warning dots before anything happens, confirmed entry/exit triangles when it's time to act, a dynamic trend ribbon on your price chart, and adaptive exhaustion bands that adjust to each asset's unique characteristics. The built-in performance tracker shows exactly how well your signals are working - success rates, average time to hit targets, and more - providing clear insight for confident trading decisions. Optimized for daily and weekly timeframes, this suite is suitable for both manual traders and automated strategies. Aim of the Indicator The 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands is an advanced momentum oscillator system that combines trend identification, momentum analysis, and forward-looking performance validation. This comprehensive tool measures the percentage difference between an 8-period Exponential Moving Average and a 14-period Volume Weighted Average Price while providing multiple layers of signal confirmation through visual trend ribbons, momentum shift alerts, and adaptive exhaustion detection. How to Interpret the Indicator Visual Trend System: The indicator displays a dynamic ribbon between the 8EMA and 14VWAP lines on the price chart, automatically colored green when EMA8 is above VWAP14 (bullish trend) and red when below (bearish trend), providing instant trend context. Four-Tier Signal System: Tiny Green Dots (Below Bars): Early bullish momentum shifts when the oscillator crosses above its adaptive baseline Green Triangles (Below Bars): Confirmed buy signals when EMA8 crosses above VWAP14 Tiny Red Dots (Above Bars): Early bearish momentum shifts when the oscillator crosses below its adaptive baseline Red Triangles (Above Bars): Confirmed sell signals when EMA8 crosses below VWAP14 Oscillator Analysis: The separate pane displays the momentum oscillator with a dynamic zero line (thin blue) representing the recent average EMA8/VWAP14 relationship. Trend exhaustion is detected through adaptive bands - orange for potential upside exhaustion and purple for potential downside exhaustion, calculated dynamically based on the oscillator's historical range relative to its adaptive baseline. Key Settings and Flexibility Signal Source Customization: Choose from Open, High, Low, Close, OHLC Average, or HL Average to optimize signal sensitivity for different market conditions and trading styles. Multi-Timeframe Capability: Enable higher timeframe analysis to use signals from longer periods while trading on shorter timeframes, significantly reducing noise and improving signal quality for more reliable entries. Dynamic Baseline Controls: Adjust the adaptive zero line calculation period (5-100 bars) - shorter periods provide more responsive momentum detection, while longer periods offer smoother trend context and reduced false signals. Entry Timing Options: "Bar Opening Only" mode ensures signals trigger only at confirmed bar close using realistic entry prices, eliminating mid-bar noise and providing accurate backtesting results for automated trading systems. Adaptive Exhaustion Detection: Customize lookback periods and threshold multipliers to fine-tune exhaustion sensitivity for different volatility environments and asset classes. Comprehensive Performance Tracking: Set custom profit targets (1-50%) and maximum holding periods to analyze forward-looking signal effectiveness with real-time success rate monitoring. Advanced Features and Benefits Forward-Looking Performance Analytics: Unlike traditional backtesting, this system tracks how often buy signals reach specified profit targets and measures average time to target, providing immediate validation of signal quality across different assets and timeframes. Adaptive Baseline Technology: The dynamic zero line automatically adjusts to each asset's unique EMA8/VWAP14 relationship patterns, making momentum signals contextually relevant rather than using static thresholds that may not suit all market conditions. Professional Entry/Exit Tracking: When "Bar Opening Only" is enabled, all performance calculations use actual tradeable prices (next bar's open) rather than theoretical mid-bar prices, ensuring realistic performance expectations. Visual Performance Dashboard: Real-time table displaying success rate, average bars to target, fastest/slowest target achievement, and active position tracking with complete transparency about timeframe, signal source, and methodology being used. Integrated Alert System: Comprehensive alerts for both early momentum shifts and confirmed crossover signals, enabling automated trading integration and timely manual intervention. Best Practices for Timing Entries and Exits Entry Timing Strategy: Watch for Early Warning: Monitor tiny green dots as momentum builds - this is your preparation phase Confirm with Ribbon: Ensure the ribbon color aligns with your intended direction (green for long positions) Enter on Triangle Signal: Execute entries when confirmed buy triangles appear, using realistic bar opening prices Avoid Exhaustion Zones: Be cautious entering when the oscillator is near orange (upper) exhaustion bands Exit Timing Strategy: Monitor Momentum Shifts: Red dots above bars provide early warning of potential reversals before actual sell signals Use Exhaustion Bands: Consider partial profit-taking when oscillator reaches exhaustion zones (orange/purple bands) Confirm with Sell Signals: Exit positions when red triangles appear, especially if preceded by bearish momentum dots Time-Based Exits: Utilize the "Max Bars to Target" setting to avoid holding losing positions indefinitely Risk Management Integration: Position Sizing: Use success rate metrics to adjust position sizes - higher success rates may warrant larger positions Multi-Timeframe Confluence: Combine daily signals with weekly context for highest probability setups Avoid False Signals: Wait for momentum dots before triangles for stronger signal confirmation, reducing whipsaw trades Optimal Market Conditions: Trending Markets: Ribbon provides clear directional bias - trade in direction of ribbon color Range-Bound Markets: Focus on exhaustion bands for reversal opportunities near dynamic support/resistance levels Volatile Conditions: Use higher timeframe settings to filter noise and focus on more significant moves Optimal Timeframe Usage This indicator achieves exceptional performance on Daily timeframes and delivers superior results on Weekly timeframes. Weekly analysis is particularly powerful for position trading and swing strategies, as the adaptive exhaustion bands and momentum shifts have greater statistical significance over extended periods. The ribbon visualization becomes especially valuable on longer timeframes, clearly delineating major trend phases while filtering out intraday noise that can plague shorter-term analysis. Alternative Applications Multi-Timeframe Confluence System: Use weekly signals for trend direction while executing entries on daily timeframes, combining the indicator's momentum dots and triangles across different time horizons for high-probability setups. Automated Trading Integration: The indicator's comprehensive alert system and realistic entry tracking make it ideal for automated trading platforms, with clear signal hierarchy and performance validation built into the system. Risk-Adjusted Position Sizing: Utilize real-time success rate data and average holding period metrics to dynamically adjust position sizes based on current market effectiveness of the strategy. Market Regime Detection: The ribbon color changes and exhaustion band interactions help identify when markets transition between trending and ranging conditions, allowing strategy adaptation accordingly. Performance Validation Tool: Test signal effectiveness across different assets, timeframes, and market conditions before committing capital, using the forward-looking analytics to validate strategy assumptions. Conclusion The 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands represents a comprehensive trading system that bridges the gap between manual analysis and automated execution. Its multi-layered approach provides both leading momentum indicators and lagging confirmation signals, while the adaptive baseline technology ensures relevance across different market conditions and asset classes. The integration of visual trend ribbons, performance analytics, and flexible timing controls makes it suitable for both discretionary traders seeking enhanced market insight and systematic traders requiring robust signal validation for automated strategies.

Pine Script® indicator

Updated

Color Change EMA 200 (4H)200 Color Change EMA (4H Locked) Overview This indicator displays a 200-period Exponential Moving Average (EMA) that is locked to the 4-hour timeframe, regardless of what chart timeframe you're currently viewing. The EMA line changes color dynamically based on price action to provide clear visual trend signals. Key Features • Multi-Timeframe Capability : Always shows the 4H 200 EMA on any chart timeframe • Dynamic Color Coding : - Green: Price is above the 200 EMA (bullish condition) - Red: Price is below the 200 EMA (bearish condition) • Clean Visual Design : Bold 2-pixel line width for clear visibility • Real-time Updates : Colors change instantly as price crosses above or below the EMA How to Use 1. Add the indicator to any timeframe chart 2. The 4H 200 EMA will appear as a smooth line 3. Watch for color changes: - When the line turns green, it indicates price strength above the key moving average - When the line turns red, it suggests price weakness below the moving average 4. Use for trend identification, support/resistance levels, and entry/exit timing Best Practices • Combine with other technical analysis tools for confirmation • Use the color changes as alerts for potential trend shifts • Consider the 200 EMA as a major support/resistance level • Works well for swing trading and position sizing decisions Settings • Length : Default 200 periods (customizable) • Source : Default closing price (customizable) Perfect for traders who want to keep the important 4H 200 EMA visible across all timeframes with instant visual trend feedback.

Pine Script® indicator

by hazedoptions

SMEMA Trend Core SMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes. At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode: Short Term mode gives more influence to 1H and 4H Swing Trading mode gives more influence to 1D, 3D and 1W Long Term mode gives more influence to 1W and 1M However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements. The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers. The final score is capped between -10 and +10, and used to define the trend state: Green when the trend is bullish (score > +1.5) Red when the trend is bearish (score < -1.5) Brown when the trend is neutral (score between -1.5 and +1.5) Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias. Main features: A single, stable trend line based on six timeframes Automatic rebalancing depending on trading mode Quantified score integrating distance and slope No overreaction to short-term noise Deviation zones for advanced market context No repainting, no lookahead, 100% real-time SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.

Pine Script® indicator

4H & 1D Sig_chartbug Rohmoohyun is alive Auxiliary Indicator for Buy/Sell Signals Using Bollinger Bands and Moving Averages. Recommended for NASDAQ, Gold, Oil, BTC, Stocks on 4-hour or higher timeframes. For Ethereum, Ripple, and other volatile altcoins, it is advisable to also check the daily chart. Indicator Idea: This strategy utilizes two types of indicators: Bollinger Bands as a volatility (or momentum) indicator, and Moving Averages as a trend indicator. A triangle signal is generated in zones where the Bollinger Bands converge (squeeze). After a candle closes, a Rocket icon will appear, at which point a trading strategy can be devised based on the prevailing trend indicated by the Moving Averages. Indicator Feature: When used on timeframes of 4 hours or higher, this indicator is extremely powerful for establishing trading criteria, especially when combined with trend analysis and support/resistance zones. Basic Trading Method: Enter a position at the Rocket icon + Immediately set a stop-loss (e.g., at the previous low/high, a maximum loss threshold like 2% of capital, or at a level planned for a second entry to average down) + Take partial profit (e.g., 50%) at your desired TP level, then move the stop-loss to your entry price (break-even) and hold the remainder of the position. Recommended Timeframes: 5-minute, 4-hour, 1-day. Trading Strategy Pullback Trading / Trend Reversal Trading. Instrument Selection (Commodities & Indices, Crypto, NASDAQ-listed Stocks). Understand Instrument Characteristics (The three categories behave differently, so backtesting before use is essential). a) Bullish Alignment (Price > 20MA > 200MA) : Focus primarily on long (buy) positions. : If attempting a counter-trend (short) trade, do so only with multiple confirmations, such as RSI/Disparity divergence and a major resistance zone. Use a tight stop-loss. b) Bearish Alignment (Price < 20MA < 200MA) : The opposite of the above; focus on short (sell) positions. c) During a Bullish Trend, Price is Between MAs (200MA < Price < 20MA) : This indicates either a consolidation phase within an uptrend or a potential early sign of a reversal to a downtrend. Consider both possibilities. : A possible approach is to allocate capital with a 60% bias to long positions and a 40% bias to short positions (unlike in full bullish/bearish alignments where counter-trend trading has a poor risk/reward ratio). : If it turns out to be a reversal point, you can enter a position at the very beginning of a new trend, allowing for a longer ride. : It's recommended to take partial profits rather than closing the entire position. For instance, close half and move the stop-loss to your entry price to eliminate risk while keeping profit potential open. d) During a Bearish Trend, Price is Between MAs (200MA > Price > 20MA) : The opposite of the above. Instrument-Specific Characteristics Commodities & Indices (NASDAQ, Oil, Gold) : The indicator was primarily developed and tested on NASDAQ and Gold, so it tends to work well with them. : However, NASDAQ often exhibits strong, one-way trends, so a trend-following approach is highly recommended. : Gold and Oil tend to have significant reversals from key support/resistance zones. Crypto : These assets are extremely volatile, so use this indicator with caution and skill. : It performs reasonably well with BTC. For anything from Ethereum downwards, the price action can be chaotic, so it's crucial to use the daily chart and other confirming factors. : Instead of frequent day trading, focus on long-term positions, reduce the number of trades, and aim for entries with a good average price. NASDAQ-listed Stocks : Recommended for a long-term, accumulation-style investment approach. : Use the indicator not as a signal that "it will pump immediately!" but rather as a sign that "this is a decent entry point to build a position." : Alternatively, it can be used for more active swing trading (buy, sell, repeat). Important Disclaimers This is an auxiliary indicator, as the name implies. Do not trust it blindly. When entering a position, immediately set your stop-loss or have a plan for a single additional entry (max one recommended). Always use it in conjunction with other forms of analysis. Track your performance (win rate, risk/reward ratio) based on this strategy. Continuously refine and improve your approach.

Pine Script® indicator

MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously. Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies. What it does: This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe. It then tracks crossover events: - Bullish crossover when the fast MA crosses above the slow MA - Bearish crossunder when the fast MA crosses below the slow MA On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons. Key features: - Select SMA or EMA type for both moving averages - Customize MA lengths and colors - Works with any asset and timeframe - Alerts include symbol and timeframe info for easy identification How to use: 1) Add the indicator to your chart. 2) Choose the moving average type and lengths. 3) Enable/disable any of the 8 symbols and 4 timeframes. 4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls. 5) You will receive a message like: BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼ Technical note: This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time. Feel free to leave your feedback or suggestions in the comments section below. Enjoy!

Pine Script® indicator

(Mustang Algo) Stochastic RSI + Triple EMA Stochastic RSI + Triple EMA (StochTEMA) Overview The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets. Key Features Stochastic RSI Calculation Computes a standard RSI over a user-defined period (default 50). Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50). Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3). Defines oversold when both %K and %D are below 20, and overbought when both are above 80. Triple EMA (TEMA) Calculates three successive EMAs on the closing price with the same length (default 9). Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line. Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal. Signal Logic Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend. Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50. Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish). Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish. Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50. Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish). Visual Elements on Chart TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization. Buy/Sell Markers: BUY STRONG: Lime label below the candle BUY MEDIUM: Green triangle below the candle BUY WEAK: Semi-transparent green circle below the candle SELL STRONG: Red label above the candle SELL MEDIUM: Orange triangle above the candle SELL WEAK: Semi-transparent orange circle above the candle Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell). Dynamic Support/Resistance: On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker. On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker. Alerts Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish. Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish. General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish. General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish. Inputs Stochastic RSI Settings (group “Stochastic RSI”): K (smoothK): Period length for smoothing the %K line (default 3, minimum 1) D (smoothD): Period length for smoothing the %D line (default 3, minimum 1) RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1) Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1) RSI Source (src): Price source for the RSI (default = close) TEMA Settings (group “Triple EMA”): TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1) How to Use Add the Script Copy and paste the indicator code into TradingView’s Pine Editor (version 6). Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).” Adjust Inputs Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading). Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument. Modify TEMA Length if you prefer a faster or slower moving average response. Interpret Signals Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend. Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum. Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders. Set Alerts Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”). Configure notifications (popup, email, webhook) according to your trading workflow. Notes & Best Practices Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out. Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes. Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends. Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument. No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals). Author: Your Name or Username Version: 1.0 (Pine Script v6) Published: June 2025 Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!

Pine Script® indicator

EMA Pullback System 1:5 RRR [SL]EMA Trend Pullback System (1:5 RRR) Summary: This indicator is designed to identify high-probability pullback opportunities along the main trend, providing trade signals that target a high 1:5 Risk/Reward Ratio. It is a trend-following strategy built for patient traders who wait for optimal setups. Strategy Logic: The system is based on three Exponential Moving Averages (EMAs): 21, 50, and 200. BUY Signal: Trend (Uptrend): The price must be above the 200 EMA. Pullback: The price must pull back into the "Dynamic Support Zone" between the 21 EMA and 50 EMA. Confirmation: A strong Bullish Confirmation Candle (e.g., Bullish Engulfing) must form within this zone. SELL Signal: Trend (Downtrend): The price must be below the 200 EMA. Pullback: The price must rally back into the "Dynamic Resistance Zone" between the 21 EMA and 50 EMA. Confirmation: A strong Bearish Confirmation Candle (e.g., Bearish Engulfing) must form within this zone. Key Features: Clearly plots the 21, 50, and 200 EMAs on the chart. Displays BUY and SELL labels when the rules are met. Automatically calculates and plots Stop Loss (SL) and Take Profit (TP) levels for each signal. The Risk/Reward Ratio for the Take Profit level is customizable in the settings (Default: 1:5). How to Use: Best suited for higher timeframes like H1 and H4. It is crucial to wait for the signal candle to close before considering an entry. While this is an automated tool, for best results, combine its signals with your own analysis of Price Action and Market Structure. Disclaimer: This is an educational tool and not financial advice. Trading involves substantial risk. Always use proper risk management. It is essential to backtest any strategy before deploying it with real capital.

Pine Script® indicator

Levels Of Interest ------------------------------------------------------------------------------------ LEVELS OF INTEREST (LOI) TRADING INDICATOR GUIDE ------------------------------------------------------------------------------------ Table of Contents: 1. Indicator Overview & Core Functionality 2. VWAP Foundation & Historical Context 3. Multi-Timeframe VWAP Analysis 4. Moving Average Integration System 5. Trend Direction Signal Detection 6. Visual Design & Display Features 7. Custom Level Integration 8. Repaint Protection Technology 9. Practical Trading Applications 10. Setup & Configuration Recommendations ------------------------------------------------------------------------------------ 1. INDICATOR OVERVIEW & CORE FUNCTIONALITY ------------------------------------------------------------------------------------ The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets. Primary Functions: - Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly) - Advanced moving average integration (EMA, SMA, HMA) - Real-time trend direction detection - Institutional flow analysis - Dynamic support/resistance identification Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis. ------------------------------------------------------------------------------------ 2. VWAP FOUNDATION & HISTORICAL CONTEXT ------------------------------------------------------------------------------------ Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands. Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements. Formula: VWAP = Σ(Price × Volume) / Σ(Volume) Where typical price = (High + Low + Close) / 3 Institutional Behavior Patterns: - When price trades above VWAP, institutions often look to sell - When it's below, they're usually buying - Creates natural support and resistance that you can actually trade against - Serves as benchmark for execution quality assessment ------------------------------------------------------------------------------------ 3. MULTI-TIMEFRAME VWAP ANALYSIS ------------------------------------------------------------------------------------ Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously: **Daily VWAP Implementation**: - Resets every morning at market open - Provides clearest picture of intraday institutional sentiment - Primary tool for day trading strategies - Most responsive to immediate market conditions **Weekly VWAP System**: - Resets each Monday (or first trading day) - Smooths out daily noise and volatility - Perfect for swing trades lasting several days to weeks - Captures weekly institutional positioning **Monthly VWAP Analysis**: - Resets at beginning of each calendar month - Captures bigger institutional rebalancing at month-end - Fund managers often operate on monthly mandates - Significant weight in intermediate-term analysis **Yearly VWAP Perspective**: - Resets annually for full-year institutional view - Shows long-term institutional positioning - Where pension funds and sovereign wealth funds operate - Critical for major trend identification Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price. ------------------------------------------------------------------------------------ 4. MOVING AVERAGE INTEGRATION SYSTEM ------------------------------------------------------------------------------------ Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application: **Exponential Moving Averages (EMAs)**: - React quickly to recent price changes - Displayed as solid lines for easy identification - Optimal performance in trending market conditions - Higher sensitivity to current price action **Simple Moving Averages (SMAs)**: - Treat all historical data points equally - Appear as dashed lines in visual display - Slower response but more reliable in choppy conditions - Traditional approach favored by institutional traders **Hull Moving Averages (HMAs)**: - Newest addition to the system (dotted line display) - Created by Alan Hull in 2005 - Solves classic moving average dilemma: speed vs. accuracy - Manages to be both responsive and smooth simultaneously Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology. Period Configuration: - 5-period: Short-term momentum assessment - 50-period: Intermediate trend identification - 200-period: Long-term directional confirmation ------------------------------------------------------------------------------------ 5. TREND DIRECTION SIGNAL DETECTION ------------------------------------------------------------------------------------ Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment: Symbol System: - ▲ Rising average (bullish momentum confirmation) - ▼ Falling average (bearish momentum indication) - ► Flat average (consolidation or indecision period) Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals. Multi-Timeframe Trend Analysis: - Simultaneous daily and weekly trend comparison - Immediate identification of trend alignment - Early warning system for potential reversals - Momentum confirmation for entry decisions ------------------------------------------------------------------------------------ 6. VISUAL DESIGN & DISPLAY FEATURES ------------------------------------------------------------------------------------ Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions: - **Blue Tones**: Institutional neutrality (VWAP levels) - **Green Spectrum**: Growth and stability (weekly timeframes) - **Purple Range**: Longer-term sophistication (monthly analysis) - **Orange Hues**: Importance and attention (yearly perspective) - **Red Tones**: User-defined significance (custom levels) Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload. Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis. ------------------------------------------------------------------------------------ 7. CUSTOM LEVEL INTEGRATION ------------------------------------------------------------------------------------ User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis. Strategic Applications: - **Psychological Levels**: Round numbers, previous significant highs/lows - **Technical Levels**: Fibonacci retracements, pivot points - **Fundamental Targets**: Analyst price targets, earnings estimates - **Risk Management**: Stop-loss and take-profit zones Integration Features: - Seamless incorporation with smart labeling system - Custom color selection for visual organization - Extension capabilities across all chart timeframes - Maintains display clarity with existing indicators ------------------------------------------------------------------------------------ 8. REPAINT PROTECTION TECHNOLOGY ------------------------------------------------------------------------------------ Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis. Protection Benefits: - Ensures every displayed signal could have been traded when it appeared - Eliminates discrepancies between historical and live analysis - Provides realistic performance expectations - Maintains signal integrity across chart refreshes Configuration Options: - **Protection Enabled**: Default setting for live trading - **Protection Disabled**: Available for backtesting analysis - User-selectable toggle based on analysis requirements - Applies to all multi-timeframe calculations Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions. ------------------------------------------------------------------------------------ 9. PRACTICAL TRADING APPLICATIONS ------------------------------------------------------------------------------------ **Day Trading Strategy**: Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing. **Swing Trading Approach**: Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance. **Position Trading Method**: Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings. **Multi-Timeframe Confluence Strategy**: The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones. Risk Management Integration: - VWAP levels serve as dynamic stop-loss references - Multiple timeframe confirmation reduces false signals - Institutional flow analysis improves position sizing decisions - Trend direction signals optimize entry and exit timing ------------------------------------------------------------------------------------ 10. SETUP & CONFIGURATION RECOMMENDATIONS ------------------------------------------------------------------------------------ Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis. Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis. Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results. Performance Considerations: - Multiple timeframe calculations may impact chart loading speed - Adjust displayed timeframes based on trading frequency - Customize color schemes for different market sessions - Regular review and adjustment of custom levels ------------------------------------------------------------------------------------ FINAL ANALYSIS ------------------------------------------------------------------------------------ Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing. Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly. The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning. ------------------------------------------------------------------------------------ END OF DOCUMENTATION ------------------------------------------------------------------------------------

Pine Script® indicator

by meddymarkusvanhala

Updated

Dollar Volume The Dollar Volume indicator enhances traditional volume analysis by showing not only the number of shares traded, but also the actual capital exchanged per bar. Using the formula (High+Low)/2×Volume , it calculates dollar volume to give a clearer picture of real market participation. This approach helps traders identify where significant money is flowing—an important distinction when evaluating the strength of price moves or spotting potential institutional activity. Volume bars are color-coded based on price direction, and a 50-period Volume Moving Average (VMA)—set to 50 by default—is plotted as a baseline to define “normal” volume levels. When a bar's volume exceeds this average by a user-defined multiple (default is 2×), it is highlighted: blue by default when volume is bullish and elevated, and maroon when bearish and elevated. This makes it easy to spot unusual or high-impact volume spikes at a glance, especially during potential breakout or reversal setups. In the top-right corner of the chart, a compact display—highlighted in purple by default—shows the current dollar volume, with the option to toggle and view the average dollar volume instead. Meanwhile, the Y-axis continues to show raw share volume, giving you access to both perspectives side by side. With its combination of real capital flow, visual volume signals, and customizable thresholds, the Dollar Volume indicator is a practical and powerful tool for confirming price action, identifying accumulation, and monitoring momentum shifts.

Pine Script® indicator

by Traders-Agency

AWR Pearsons R & LR Oscillator MTF 1. Overview This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution. 2. User Parameters The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display: Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price). Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods. Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression. Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator. For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period: Sum up : Timeframe 1 = current Timeframe 2 = 30-minute (default settings) Timeframe 3 = 1-hour (default settings) Timeframe 4 = 4-hour (default settings) These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions. 3. Calculation Logic At the core of the indicator is the f_calcConditions() function, which performs several essential tasks: Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals. Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local. Applying Moving Averages The resulting average is then smoothed using several moving averages (SMA): A short-term SMA (period of 14), An intermediate SMA (period of 100), A long-term SMA (period of 400). These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving. Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals: Simple SMA Conditions : Small signal : Light blue below bar signal : When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal). Orange above bar signal : Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal). Medium signal : Dark green signal When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal). Light red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal). Light green signal : When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal). Dark red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal). These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average. These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade. 4. Multi-Timeframes and Display One of the main strengths of this indicator is its multi-timeframe approach. This offers several advantages: Comparative Analysis: Compare short-term dynamics with broader trends. Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success. To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe: Current Timeframe: Signals are represented by the character "1" 30-Minute Timeframe: Displayed with the character "2". 1-Hour Timeframe: Displayed with the character "3". 4-Hour Timeframe: Displayed with the character "4". The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts. 5. Integrated Alerts To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making. 6. How to Use This Indicator Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness. Interpreting the Signals: Watch for the symbols on the chart corresponding to each timeframe. A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar. Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position. Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics. Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart. In Conclusion The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions. Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!

Pine Script® indicator

AWR R & LR Oscillator with plots & table Hello trading viewers ! I'm glad to share with you one of my favorite indicator. It's the aggregate of many things. It is partly based on an indicator designed by gentleman goat. Many thanks to him. 1. Oscillator and Correlation Calculations Overview and Functionality: This part of the indicator computes up to 10 Pearson correlation coefficients between a chosen source (typically the close price, though this is user-configurable) and the bar index over various periods. Starting with an initial period defined by the startPeriod parameter and increasing by a set increment (periodIncrement), each correlation coefficient is calculated using the built-in ta.correlation function over successive ranges. These coefficients are stored in an array, and the indicator calculates their average (avgPR) to provide a complete view of the market trend strength. Display Features: Each individual coefficient, as well as the overall average, is plotted on the chart using a specific color. Horizontal lines (both dashed and solid) are drawn at levels 0, ±0.8, and ±1, serving as visual thresholds. Additionally, conditional fills in red or blue highlight when values exceed these thresholds, helping the user quickly identify potential extreme conditions (such as overbought or oversold situations). 2. Visual Signals and Automated Alerts Graphical Signal Enhancements: To reinforce the analysis, the indicator uses graphical elements like emojis and shape markers. For example: If all 10 curves drop below -0.79, a 🌋 emoji appears at the bottom of the chart; When curves 2 through 10 are below -0.79, a ⛰️ emoji is displayed below the bar, potentially serving as a buy signal accompanied by an alert condition; Likewise, symmetrical conditions for correlations exceeding 0.79 produce corresponding emojis (🤿 and 🏖️) at the top or bottom of the chart. Alerts and Notifications: Using these visual triggers, several alertcondition statements are defined within the script. This allows users to set up TradingView alerts and receive real-time notifications whenever the market reaches these predefined critical zones identified by the multi-period analysis. 3. Regression Channel Analysis Principles and Calculations: In addition to the oscillator, the indicator implements an analysis of regression channels. For each of the 8 configurable channels, the user can set a range of periods (for example, min1 to max1, etc.). The function calc_regression_channel iterates through the defined period range to find the optimal period that maximizes a statistical measure derived from a regression parameter calculated by the function r(p). Once this optimal period is identified, the indicator computes two key points (A and B) which define the main regression line, and then creates a channel based on the calculated deviation (an RMSE multiplied by a user-defined factor). The regression channels are not displayed on the chart but are used to plot shapes & fullfilled a table. Blue shapes are plotted when 6th channel or 7th channel are lower than 3 deviations Yellow shapes are plotted when 6th channel or 7th channel are higher than 3 deviations 4. Scores, Conditions, and the Summary Table Scoring System: The indicator goes further by assigning scores across multiple analytical categories, such as: 1. BigPear Score What It Represents: This score is based on a longer-term moving average of the Pearson correlation values (SMA 100 of the average of the 10 curves of correlation of Pearson). The BigPear category is designed to capture where this longer-term average falls within specific ranges. Conditions: The script defines nine boolean conditions (labeled BigPear1up through BigPear9up for the “up” direction). Here's the rules : BigPear1up = (bigsma_avgPR <= 0.5 and bigsma_avgPR > 0.25) BigPear2up = (bigsma_avgPR <= 0.25 and bigsma_avgPR > 0) BigPear3up = (bigsma_avgPR <= 0 and bigsma_avgPR > -0.25) BigPear4up = (bigsma_avgPR <= -0.25 and bigsma_avgPR > -0.5) BigPear5up = (bigsma_avgPR <= -0.5 and bigsma_avgPR > -0.65) BigPear6up = (bigsma_avgPR <= -0.65 and bigsma_avgPR > -0.7) BigPear7up = (bigsma_avgPR <= -0.7 and bigsma_avgPR > -0.75) BigPear8up = (bigsma_avgPR <= -0.75 and bigsma_avgPR > -0.8) BigPear9up = (bigsma_avgPR <= -0.8) Conditions: The script defines nine boolean conditions (labeled BigPear1down through BigPear9down for the “down” direction). BigPear1down = (bigsma_avgPR >= -0.5 and bigsma_avgPR < -0.25) BigPear2down = (bigsma_avgPR >= -0.25 and bigsma_avgPR < 0) BigPear3down = (bigsma_avgPR >= 0 and bigsma_avgPR < 0.25) BigPear4down = (bigsma_avgPR >= 0.25 and bigsma_avgPR < 0.5) BigPear5down = (bigsma_avgPR >= 0.5 and bigsma_avgPR < 0.65) BigPear6down = (bigsma_avgPR >= 0.65 and bigsma_avgPR < 0.7) BigPear7down = (bigsma_avgPR >= 0.7 and bigsma_avgPR < 0.75) BigPear8down = (bigsma_avgPR >= 0.75 and bigsma_avgPR < 0.8) BigPear9down = (bigsma_avgPR >= 0.8) Weighting: If BigPear1up is true, 1 point is added; if BigPear2up is true, 2 points are added; and so on up to 9 points from BigPear9up. Total Score: The positive score (posScoreBigPear) is the sum of these weighted conditions. Similarly, there is a negative score (negScoreBigPear) that is calculated using a mirrored set of conditions (named BigPear1down to BigPear9down), each contributing a negative weight (from -1 to -9). In essence, the BigPear score tells you—in a weighted cumulative way—where the longer-term correlation average falls relative to predefined thresholds. 2. Pear Score What It Represents: This category uses the immediate average of the Pearson correlations (avgPR) rather than a longer-term smoothed version. It reflects a more current picture of the market’s correlation behavior. How It’s Calculated: Conditions: There are nine conditions defined for the “up” scenario (named Pear1up through Pear9up), which partition the range of avgPR into intervals. For instance: Pear1up = (avgPR > -0.2 and avgPR <= 0) Pear2up = (avgPR > -0.4 and avgPR <= -0.2) Pear3up = (avgPR > -0.5 and avgPR <= -0.4) Pear4up = (avgPR > -0.6 and avgPR <= -0.5) Pear5up = (avgPR > -0.65 and avgPR <= -0.6) Pear6up = (avgPR > -0.7 and avgPR <= -0.65) Pear7up = (avgPR > -0.75 and avgPR <= -0.7) Pear8up = (avgPR > -0.8 and avgPR <= -0.75) Pear9up = (avgPR > -1 and avgPR <= -0.8) There are nine conditions defined for the “down” scenario (named Pear1down through Pear9down), which partition the range of avgPR into intervals. For instance: Pear1down = (avgPR >= 0 and avgPR < 0.2) Pear2down = (avgPR >= 0.2 and avgPR < 0.4) Pear3down = (avgPR >= 0.4 and avgPR < 0.5) Pear4down = (avgPR >= 0.5 and avgPR < 0.6) Pear5down = (avgPR >= 0.6 and avgPR < 0.65) Pear6down = (avgPR >= 0.65 and avgPR < 0.7) Pear7down = (avgPR >= 0.7 and avgPR < 0.75) Pear8down = (avgPR >= 0.75 and avgPR < 0.8) Pear9down = (avgPR >= 0.8 and avgPR <= 1) Weighting: Each condition has an associated weight, such as 0.9 for Pear1up, 1.9 for Pear2up, and so on, up to 9 for Pear9up. Sum up : Pear1up = 0.9 Pear2up = 1.9 Pear3up = 2.9 Pear4up = 3.9 Pear5up = 4.99 Pear6up = 6 Pear7up = 7 Pear8up = 8 Pear9up = 9 Total Score: The positive score (posScorePear) is the sum of these values for each condition that returns true. A corresponding negative score (negScorePear) is calculated using conditions for when avgPR falls on the positive side, with similar weights in the negative direction. This score quantifies the current correlation reading by translating its relative level into a numeric score through a weighted sum. 3. Trendpear Score What It Represents: The Trendpear score is more dynamic as it compares the current avgPR with its short-term moving average (sma_avgPR / 14 periods ) and also considers its relationship with an even longer moving average (bigsma_avgPR / 100 periods). It is meant to capture the trend or momentum in the correlation behavior. How It’s Calculated: Conditions: Nine conditions (from Trendpear1up to Trendpear9up) are defined to check: Whether avgPR is below, equal to, or above sma_avgPR by different margins; Whether it is trending upward (i.e., it is higher than its previous value). Here are the rules Trendpear1up = (avgPR <= sma_avgPR -0.2) and (avgPR >= avgPR ) Trendpear2up = (avgPR > sma_avgPR -0.2) and (avgPR <= sma_avgPR -0.07) and (avgPR >= avgPR ) Trendpear3up = (avgPR > sma_avgPR -0.07) and (avgPR <= sma_avgPR -0.03) and (avgPR >= avgPR ) Trendpear4up = (avgPR > sma_avgPR -0.03) and (avgPR <= sma_avgPR -0.02) and (avgPR >= avgPR ) Trendpear5up = (avgPR > sma_avgPR -0.02) and (avgPR <= sma_avgPR -0.01) and (avgPR >= avgPR ) Trendpear6up = (avgPR > sma_avgPR -0.01) and (avgPR <= sma_avgPR -0.001) and (avgPR >= avgPR ) Trendpear7up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR <= bigsma_avgPR) Trendpear8up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR -0.03) Trendpear9up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR) Weighting: The weights here are not linear. For example, the lightest condition may add 0.1 point, whereas the most extreme condition (e.g., when avgPR is not only above the moving average but also reaches a high proportion relative to bigsma_avgPR) might add as much as 90 points. Trendpear1up = 0.1 Trendpear2up = 0.2 Trendpear3up = 0.3 Trendpear4up = 0.4 Trendpear5up = 0.5 Trendpear6up = 0.69 Trendpear7up = 7 Trendpear8up = 8.9 Trendpear9up = 90 Total Score: The positive score (posScoreTrendpear) is the sum of the weights from all conditions that are satisfied. A negative counterpart (negScoreTrendpear) exists similarly for when the trend indicates a downward bias. Trendpear integrates both the level and the direction of change in the correlations, giving a strong numeric indication when the market starts to diverge from its short-term average. 4. Deviation Score What It Represents: The “Écart” score quantifies how far the asset’s price deviates from the boundaries defined by the regression channels. This metric can indicate if the price is excessively deviating—which might signal an eventual reversion—or confirming a breakout. How It’s Calculated: Conditions: For each channel (with at least seven channels contributing to the scoring from the provided code), there are three levels of deviation: First tier (EcartXup): Checks if the price is below the upper boundary but above a second boundary. Second tier (EcartXup2): Checks if the price has dropped further, between a lower and a more extreme boundary. Third tier (EcartXup3): Checks if the price is below the most extreme limit. Weighting: Each tier within a channel has a very small weight for the lowest severities (for example, 0.0001 for the first tier, 0.0002 for the second, 0.0003 for the third) with weights increasing with the channel index. First channel : 0.0001 to 0.0003 (very short term) Second channel : 0.001 to 0.003 (short term) Third channel : 0.01 to 0.03 (short mid term) 4th channel : 0.1 to 0.3 ( mid term) 5th channel: 1 to 3 (long mid term) 6th channel : 10 to 30 (long term) 7th channel : 100 to 300 (very long term) Total Score: The overall positive score (posScoreEcart) is the sum of all the weights for conditions met among the first, second, and third tiers. The corresponding negative score (negScoreEcart) is calculated similarly (using conditions when the price is above the channel boundaries), with the weights being the same in magnitude but negative in sign. This layered scoring method allows the indicator to reflect both minor and major deviations in a gradated and cumulative manner. Example : Score + = 321.0001 Score - = -0.111 The asset price is really overextended in long term view, not for mid term & short term expect the in the very short term. Score + = 0.0033 Score - = -1.11 The asset price is really extended in short term view, not for mid term (even a bit underextended) & long term is neutral 5. Slope Score What It Represents: The Slope score captures the trend direction and steepness of the regression channels. It reflects whether the regression line (and hence the underlying trend) is sloping upward or downward. How It’s Calculated: Conditions: if the slope has a uptrend = 1 if the slope has a downtrend = -1 Weighting: First channel : 0.0001 to 0.0003 (very short term) Second channel : 0.001 to 0.003 (short term) Third channel : 0.01 to 0.03 (short mid term) 4th channel : 0.1 to 0.3 ( mid term) 5th channel: 1 to 3 (long mid term) 6th channel : 10 to 30 (long term) 7th channel : 100 to 300 (very long term) The positive slope conditions incrementally add weights from 0.0001 for the smallest positive slopes to 100 for the largest among the seven checks. And negative for the downward slopes. The positive score (posScoreSlope) is the sum of all the weights from the upward slope conditions that are met. The negative score (negScoreSlope) sums the negative weights when downward conditions are met. Example : Score + = 111 Score - = -0.1111 Trend is up for longterm & down for mid & short term The slope score therefore emphasizes both the magnitude and the direction of the trend as indicated by the regression channels, with an intentional asymmetry that flags strong downtrends more aggressively. Summary For each category—BigPear, Pear, Trendpear, Écart, and Slope—the indicator evaluates a defined set of conditions. Each condition is a binary test (true/false) based on different thresholds or comparisons (for example, comparing the current value to a moving average or a channel boundary). When a condition is true, its assigned weight is added to the cumulative score for that category. These individual scores, both positive and negative, are then displayed in a table, making it easy for the trader to see at a glance where the market stands according to each analytical dimension. This comprehensive, weighted approach allows the indicator to encapsulate several layers of market information into a single set of scores, aiding in the identification of potential trading opportunities or market reversals. 5. Practical Use and Application How to Use the Indicator: Interpreting the Signals: On your chart, observe the following components: The individual correlation curves and their average, plotted with visual thresholds; Visual markers (such as emojis and shape markers) that signal potential oversold or overbought conditions The summary table that aggregates the scores from each category, offering a quick glance at the market’s state. Trading Alerts and Decisions: Set your TradingView alerts through the alertcondition functions provided by the indicator. This way, you receive immediate notifications when critical conditions are met, allowing you to react as soon as the market reaches key levels. This tool is especially beneficial for advanced traders who want to combine multiple technical dimensions to optimize entry and exit points with a confluence of signals. Conclusion and Additional Insights In summary, this advanced indicator innovatively combines multi-scale Pearson correlation analysis (via multiple linear regressions) with robust regression channel analysis. It offers a deep and nuanced view of market dynamics by delivering clear visual signals and a comprehensive numerical summary through a built-in score table. Combine this indicator with other tools (e.g., oscillators, moving averages, volume indicators) to enhance overall strategy robustness.

Pine Script® indicator

Updated

RSI‑MA Near‑Level Alert RSI‑MA Near‑Level Alert — Publication Description Overview RSI‑MA Near‑Level Alert plots a smoothed Relative Strength Index (RSI) line and sends automatic alerts whenever that line comes within a user‑defined distance of two key thresholds (default = 70 for overbought, 30 for oversold). It is designed for traders who want an early warning—before a classic 70/30 cross—so they can tighten stops, scale out, or prepare reversal setups. How It Works RSI Calculation – Uses the standard RSI (default length 14). Smoothing – Applies a moving‑average (default Simple 10) to reduce noise. Proximity Logic – On every bar, the script measures the absolute distance between the smoothed RSI line and each threshold. If the distance ≤ the Proximity setting (default 1 point), the condition flips to true. Built‑in Alert Triggers – Two alertcondition() calls are embedded: “RSI MA near UPPER level” “RSI MA near LOWER level” Select either one (or both) from the TradingView alert dialog and choose your delivery method (popup, e‑mail, SMS, webhook). Inputs Input Default Purpose RSI Length 14 Core momentum look‑back. Smoothing MA Length 10 Length of the MA applied to RSI. Upper Level 70 Overbought line. Lower Level 30 Oversold line. Alert Proximity (points) 1.0 How close (in RSI points) the MA must get to trigger. All inputs are fully editable after you add the script to a chart. Typical Use‑Cases Pre‑emptive Exits – Get notified when momentum is stalling near 70 or 30 so you can lock in gains before a reversal. Reversal Hunting – Combine the alert with price‑action patterns (pin bars, engulfing candles) for higher‑probability fades. Breakout Confirmation – Increase Upper Level to 80 / Lower Level to 20 and lower Proximity to 0.5 for more aggressive trend‑following alerts. Step‑by‑Step Alert Setup Add the script to your chart. Click the alarm‑clock‑plus icon (or press Alt + A). In “Condition,” select RSI‑MA Near‑Level Alert. Choose either RSI MA near UPPER level or RSI MA near LOWER level. Pick Once Per Bar Close for confirmed signals or Once Per Bar for real‑time. Select your preferred notification methods and click Create. (Repeat for the opposite threshold.) Customization Tips Change Smoothing Type – Replace ta.sma() with ta.ema(), ta.rma(), etc., directly in the code if you prefer another MA. Track Multiple Assets – Apply the indicator to each symbol in a multi‑chart layout and set independent alerts. Narrow Range Play – Set Upper = 60, Lower = 40 and Proximity = 0.5 to monitor a quiet‑momentum band. Disclaimer This script is provided for educational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Always back‑test and validate on demo data before risking live capital. The author assumes no liability for trading losses or platform malfunctions.

Pine Script® indicator

by angela_flowers1129

Pucci Trend EMA-SMA Crossover with Tolerance Pucci Trend EMA-SMA Crossover with Tolerance This indicator helps identify market trends and generates trading signals based on the crossover between an Exponential Moving Average (EMA) and a Simple Moving Average (SMA) with an adjustable tolerance threshold. The signals work as follows: Buy Signal (B) -> Triggers when the EMA crosses above the SMA, exceeding a user-defined tolerance (in basis points). Optionally, a price filter can require the high or low to be below the EMA for confirmation. Sell Signal (S) -> Triggers when the SMA crosses above the EMA, exceeding the tolerance. The optional price filter may require the high or low to be above the EMA. The tolerance helps reduce false signals by requiring a minimum distance between the moving averages before confirming a crossover. The price filter adds an extra confirmation layer by checking if price action respects the EMA level. Important Notes: 1º No profitability guarantee: This tool is for analysis only and may generate losses. 2º "As Is" disclaimer: Provided without warranties or responsibility for trading outcomes. 3º Use Stop Loss: Users must determine their own risk management. 4º Parameter adjustment needed: Optimal MA periods and tolerance vary by timeframe. 5º Filter impact varies: Enabling/disabling the price filter may improve or worsen performance.

Pine Script® indicator

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Select market data provided by ICE Data services. Select reference data provided by FactSet. Copyright © 2025 FactSet Research Systems Inc.© 2025 TradingView, Inc.

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