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Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection. 🔶 Volume-Weighted Money Flow Analysis Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise. // Volume-weighted flows up_volume = price_up ? volume : 0 down_volume = price_down ? volume : 0 // Money Flow calculation up_vol_sum = ta.sma(up_volume, mf_length) down_vol_sum = ta.sma(down_volume, mf_length) total_volume = up_vol_sum + down_vol_sum money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0 🔶 Enhanced Hyper Wave Oscillator Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes. // Enhanced MACD-based oscillator fast_ma = ta.ema(src, hw_fast) slow_ma = ta.ema(src, hw_slow) macd_line = fast_ma - slow_ma signal_line = ta.ema(macd_line, hw_signal) // Proper normalization using percentage of price price_base = ta.sma(close, 50) macd_normalized = macd_line / price_base hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0 🔶 Multi-Factor Confluence System Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals. 🔶 Fixed Threshold Levels Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions. 🔶 Overflow Detection Technology Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points. 🔶 Dual Oscillator Integration The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns. // Multi-factor confluence scoring confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) + (mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0) confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) + (mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0) confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4 🔶 Intelligent Signal Generation The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength. 🔶 Visual Confluence Zones Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless. 🔶 Threshold Visualization Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity. 🔶 Candle Color Integration Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making. 🔶 Overflow Alert System Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation. 🔶 Customizable Display Options Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences. 1 Week 1 Day 15 Min This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
مؤشر Pine Script®
من ‎AlphaExtract‎
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone . This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? " This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium. Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount. Key Features 1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum. The line changes color smoothly from light blue to neon teal as bullish momentum increases. It shifts from hot pink to bright purple as bearish momentum increases. Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance. 2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility. 3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding. How to Use the AVO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning. Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing. 2. Best Practices & Settings Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day." Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
مؤشر Pine Script®
من ‎CRYPTIK1‎
3
FSVZO [Alpha Extract]A sophisticated volume-weighted momentum oscillator that combines Fourier smoothing with Volume Zone Oscillator methodology to deliver institutional-grade flow analysis and divergence detection. Utilizing advanced statistical filtering including ADF trend analysis and multi-dimensional volume dynamics, this indicator provides comprehensive market sentiment assessment through volume-price relationships with extreme zone detection and intelligent divergence recognition for high-probability reversal and continuation signals. 🔶 Advanced VZO Calculation Engine Implements enhanced Volume Zone Oscillator methodology using relative volume analysis combined with smoothed price changes to create momentum-weighted oscillator values. The system applies exponential smoothing to both volume and price components before calculating positive and negative momentum ratios with trend factor integration for market regime awareness. 🔶 Fourier-Based Smoothing Architecture Features advanced Fourier approximation smoothing using cosine-weighted calculations to reduce noise while preserving signal integrity. The system applies configurable Fourier length parameters with weighted sum normalization for optimal signal clarity across varying market conditions with enhanced responsiveness to genuine trend changes. // Fourier Smoothing Algorithm fourier_smooth(src, length) => sum = 0 weightSum = 0 for i = 0 to length - 1 weight = cos(2 * π * i / length) sum += src * weight weightSum += weight sum / weightSum 🔶 Intelligent Divergence Detection System Implements comprehensive divergence analysis using pivot point methodology with configurable lookback periods for both standard and hidden divergence patterns. The system validates divergence conditions through range analysis and provides visual confirmation through plot lines, labels, and color-coded identification for precise timing analysis. 15MIN 4H 12H 🔶 Flow Momentum Analysis Framework Calculates flow momentum by measuring oscillator deviation from its exponential moving average, providing secondary confirmation of volume flow dynamics. The system creates momentum-based fills and visual indicators that complement the primary oscillator analysis for comprehensive market flow assessment. 🔶 Extreme Zone Detection Engine Features sophisticated extreme zone identification at ±98 levels with specialized marker system including white X markers for signals occurring in extreme territory and directional triangles for potential reversal points. The system provides clear visual feedback for overbought/oversold conditions with institutional-level threshold accuracy. 🔶 Dynamic Visual Architecture Provides advanced visualization engine with bullish/bearish color transitions, dynamic fill regions between oscillator and signal lines, and flow momentum overlay with configurable transparency levels. The system includes flip markers aligned to color junction points for precise signal timing with optional bar close confirmation to prevent repainting. 🔶 ADF Trend Filtering Integration Incorporates Augmented Dickey-Fuller inspired trend filtering using normalized price statistics to enhance signal quality during trending versus ranging market conditions. The system calculates trend factors based on mean deviation and standard deviation analysis for improved oscillator accuracy across market regimes. 🔶 Comprehensive Alert System Features intelligent multi-tier alert framework covering bullish/bearish flow detection, extreme zone reversals, and divergence confirmations with customizable message templates. The system provides real-time notifications for critical volume flow changes and structural market shifts with exchange and ticker integration. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable smoothing parameters to balance signal quality with computational efficiency. The system includes automatic pivot validation and range checking for consistent performance across extended analysis periods with minimal resource usage. This indicator delivers sophisticated volume-weighted momentum analysis through advanced Fourier smoothing and comprehensive divergence detection capabilities. Unlike traditional volume oscillators that focus solely on volume patterns, the FSVZO integrates volume dynamics with price momentum and statistical trend filtering to provide institutional-grade flow analysis. The system's combination of extreme zone detection, intelligent divergence recognition, and multi-dimensional visual feedback makes it essential for traders seeking systematic approaches to volume-based market analysis across cryptocurrency, forex, and equity markets with clearly defined reversal and continuation signals.
مؤشر Pine Script®
من ‎AlphaExtract‎
8
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities. 🔶 Advanced Statistical Normalization Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions. // Core EMA and Oscillator Calculation ema_values = ta.ema(close, ema_period) oscillator_values = close - ema_values rolling_std = ta.stdev(oscillator_values, ema_period) z_score = oscillator_values / rolling_std 🔶 Dual Threshold System Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes. // Statistical Thresholds mild_threshold = 1.0 // ±1σ (68% confidence) moderate_threshold = 2.0 // ±2σ (95% confidence) extreme_threshold = 3.0 // ±3σ (99.7% confidence) // Percentage-Based Dynamic Thresholds osc_high = ta.highest(math.abs(z_score), lookback_period) mild_pct_thresh = osc_high * (mild_pct / 100.0) moderate_pct_thresh = osc_high * (moderate_pct / 100.0) extreme_pct_thresh = osc_high * (extreme_pct / 100.0) 🔶 Signal Generation Framework Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration. // Extreme Signal Detection sell_signal = ta.crossover(z_score, selected_extreme) buy_signal = ta.crossunder(z_score, -selected_extreme) // Dynamic Color Coding signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought z_score >= selected_moderate ? #ff6a6a : // Overbought z_score >= selected_mild ? #b86456 : // Mildly Overbought z_score > -selected_mild ? #a1a1a1 : // Neutral z_score > -selected_moderate ? #01b844 : // Mildly Oversold z_score > -selected_extreme ? #00ff66 : // Oversold #00ff66 // Extremely Oversold 🔶 Visual Structure Analysis Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing. snapshot 4H 1D 🔶 Adaptive Threshold Selection Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles. 🔶 Performance Optimization Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options. 🔶 Market Oscillator Interpretation Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches. snapshot 🔶 Intelligent Signal Management Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles. Why Choose EMA Oscillator ? This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
مؤشر Pine Script®
من ‎AlphaExtract‎
1
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart Red Background or Red Triangle ABOVE a Candle 🔺 Means: Overbought Volume → Volume on that bar is much higher than average (as defined by your settings). → Suggests strong activity, possible exhaustion in the trend or an emotional spike. → It’s a warning: consider watching for signs of reversal, especially if price is already stretched. Green Background or Green Triangle BELOW a Candle 🔻 Means: Oversold Volume → Volume on that bar is much lower than normal. → Suggests the market may be losing momentum, or few sellers are left. → Could signal an upcoming reversal or recovery if confirmed by price action. Orange Line Below the Candles (Volume Moving Average) 📈 Shows the "normal" average volume over the last X candles (default is 20). → Helps you visually compare each bar’s volume to the average. Gray Columns (Actual Volume Bars) 📊 These are your regular volume bars — they rise and fall based on how active each candle is. 🔍 What This Indicator Does (In Simple Words) This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart. It tells you: • When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy. • When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision. These conditions are marked visually, so you can instantly spot them. 💡 How It Helps You As a Trader 1. Spotting Exhaustion in Trends (Overbought Signals) If a market is going up and suddenly volume spikes way above normal, it may mean: • The move is getting crowded (lots of buyers are already in). • A reversal or pullback could be near because smart money may be taking profits. Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit. 2. Identifying Hidden Opportunities (Oversold Signals) If price is falling but volume drops unusually low, it might mean: • Panic is fading. • Sellers are losing energy. • A bounce or trend reversal could happen soon. Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy. 3. Confirming or Doubting Breakouts Volume is critical for confirming breakouts: • If price breaks a key level with strong volume, it's more likely to continue. • A breakout without volume could be a fake-out. This indicator highlights volume surges that can help you confirm such moves. 📈 How to Use It in Practice • Combine it with candlestick patterns, support/resistance, or momentum indicators. • Use the background colors or shapes as a visual cue to pause and analyze. • Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
مؤشر Pine Script®
من ‎SupertradeOfficial‎
Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets. How It Works? The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled. Why Use the ICO? Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends. Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals. Hedging: Identify negatively correlated assets to balance your portfolio. Market Insights: Understand how assets like stocks, bonds, or crypto interact. Easy Steps to Use the ICO in TradingView Add the Indicator: Open TradingView and load your chart (e.g., AAPL on a daily timeframe). Go to the Pine Editor at the bottom of the TradingView window. Copy and paste the ICO script provided earlier. Click "Add to Chart" to display the oscillator below your price chart. Configure Settings: Click the gear icon next to the indicator’s name in the chart pane to open settings. Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY. Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis. Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals. Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity. Interpret the Oscillator: Above +0.8: Strong positive correlation (red zone). Assets move together. Below -0.8: Strong negative correlation (green zone). Assets move oppositely. Near 0: No clear relationship (midline reference). Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts. Set Up Alerts: Right-click the indicator, select "Add Alert." Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts. Configure notifications (e.g., email, SMS) to stay informed. Apply to Trading: Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high). Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation). Combine with other indicators like RSI or moving averages for stronger signals. Tips for New Users Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations. Test on a demo account to understand signals before trading live. Be aware that correlation is a lagging indicator; confirm signals with price action. If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format). The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
مؤشر Pine Script®
من ‎Trading_Indicator_Pro‎
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation. 🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods: Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin Optional Smoothing: Applies simple moving average (SMA) to reduce noise Status Classification: Categorizes market conditions into four distinct states Signal Generation: Produces trading signals based on MVRV thresholds Price Estimation: Calculates estimated realized price (Current price / MVRV ratio) Historical Context: Compares current values to historical extremes Formula: MVRV Ratio = Market Value / Realized Value Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length) Estimated Realized Price = Current Price / MVRV Ratio Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100 Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100 🔶 DETAILS Visual Features: MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued) Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8) Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued) Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context Interpretation: MVRV ≥ 3.5: Potential market top, strong sell signal MVRV ≥ 2.5: Overvalued market, consider selling MVRV 1.5-2.5: Neutral market conditions MVRV 1.0-1.5: Fair value, consider buying MVRV < 1.0: Potential market bottom, strong buy signal 🔶 EXAMPLES Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued. Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits. Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities. Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation. Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states. Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle. Realized Price Support: The estimated realized price often acts as a significant support/resistance level during market transitions. Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points. 🔶 SETTINGS Customization Options: Smoothing: Toggle smoothing option and adjust smoothing length (1-50) Table Display: Show/hide the information table Table Position: Choose between top right, top left, bottom right, or bottom left positions Visual Elements: All plots, lines, and background highlights can be customized for color and style The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
مؤشر Pine Script®
من ‎AlphaExtract‎
Candle Breakout Oscillator [LuxAlgo]The Candle Breakout Oscillator tool allows traders to identify the strength and weakness of the three main market states: bullish, bearish, and choppy. Know who controls the market at any given moment with an oscillator display with values ranging from 0 to 100 for the three main plots and upper and lower thresholds of 80 and 20 by default. 🔶 USAGE The Candle Breakout Oscillator represents the three main market states, with values ranging from 0 to 100. By default, the upper and lower thresholds are set at 80 and 20, and when a value exceeds these thresholds, a colored area is displayed for the trader's convenience. This tool is based on pure price action breakouts. In this context, we understand a breakout as a close above the last candle's high or low, which is representative of market strength. All other close positions in relation to the last candle's limits are considered weakness. So, when the bullish plot (in green) is at the top of the oscillator (values above 80), it means that the bullish breakouts (close below the last candle low) are at their maximum value over the calculation window, indicating an uptrend. The same interpretation can be made for the bearish plot (in red), indicating a downtrend when high. On the other hand, weakness is indicated when values are below the lower threshold (20), indicating that breakouts are at their minimum over the last 100 candles. Below are some examples of the possible main interpretations: There are three main things to look for in this oscillator: Value reaches extreme Value leaves extreme Bullish/Bearish crossovers As we can see on the chart, before the first crossover happens the bears come out of strength (top) and the bulls come out of weakness (bottom), then after the crossover the bulls reach strength (top) and the bears weakness (bottom), this process is repeated in reverse for the second crossover. The other main feature of the oscillator is its ability to identify periods of sideways trends when the sideways values have upper readings above 80, and trending behavior when the sideways values have lower readings below 20. As we just saw in the case of bullish vs. bearish, sideways values signal a change in behavior when reaching or leaving the extremes of the oscillator. 🔶 DETAILS 🔹 Data Smoothing The tool offers up to 10 different smoothing methods. In the chart above, we can see the raw data (smoothing: None) and the RMA, TEMA, or Hull moving averages. 🔹 Data Weighting Users can add different weighting methods to the data. As we can see in the image above, users can choose between None, Volume, or Price (as in Price Delta for each breakout). 🔶 SETTINGS Window: Execution window, 100 candles by default 🔹 Data Smoothing Method: Choose between none or ten moving averages Smoothing Length: Length for the moving average Weighting Method: Choose between None, Volume, or Price 🔹 Thresholds Top: 80 by default Bottom: 20 by default
مؤشر Pine Script®
من ‎LuxAlgo‎
6
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time. The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster. The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean. This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool. How to Use It: Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom. When Z-Score returns to zero or grey line, it suggests mean reversion is in progress. You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels. For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100. Settings: Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread. Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field. Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread. Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field. Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page. Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
مؤشر Pine Script®
من ‎EdgeTerminal‎
Price Change Sentiment Index [tradeviZion]Price Change Sentiment Index A technical indicator that measures price changes relative to the day's range. Indicator Overview Normalizes price changes on a 0-100 scale Uses a smoothing period for signal clarity Shows potential overbought/oversold conditions Inputs Smoothing Period (default: 3) Show Background Colors (on/off) Overbought Level (default: 75) Oversold Level (default: 25) Reading the Indicator Values above 75: Price change showing strong upward movement Values below 25: Price change showing strong downward movement Around 50: Neutral price movement Technical Details // Core calculation changePct = (currClose - prevClose) / (high - low) normalized = 50 + (changePct * 50) smoothedNormalized = ta.sma(normalizedClamped, smoothingPeriod) Usage Notes Best used with other technical analysis tools Adjustable smoothing period affects signal sensitivity Background colors highlight extreme readings Works on any timeframe Settings Guide Smoothing Period: - Lower values (1-3): More responsive - Higher values (5-10): Smoother output Visual Settings: Toggle background colors Levels: Adjust overbought/oversold thresholds This indicator is a technical analysis tool. Please conduct your own research and testing before use.
مؤشر Pine Script®
من ‎TradeVizion‎
Quad Rotation StochasticQuad Rotation Stochastic The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators. Why this indicator is useful: Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals. Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early. Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues. ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups. Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities. Why this indicator is unique: Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic. Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association. Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs. Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset. Example Usage: Trading Bitcoin with Quad Rotation Stochastic When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color. If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade. Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs. By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
مؤشر Pine Script®
من ‎SaveWithCrypto‎
24
RSI Candlestick Oscillator [LuxAlgo]The RSI Candlestick Oscillator displays a traditional Relative Strength Index (RSI) as candlesticks. This indicator references OHLC data to locate each candlestick point relative to the current RSI Value, leading to a more accurate representation of the Open, High, Low, and Close price of each candlestick in the context of RSI. In addition to the candlestick display, Divergences are detected from the RSI candlestick highs and lows and can be displayed over price on the chart. 🔶 USAGE Translating candlesticks into the RSI oscillator is not a new concept and has been attempted many times before. This indicator stands out because of the specific method used to determine the candlestick OHLC values. When compared to other RSI Candlestick indicators, you will find that this indicator clearly and definitively correlates better to the on-chart price action. Traditionally, the RSI indicator is simply one running value based on (typically) the close price of the chart. By introducing high, low, and open values into the oscillator, we can better gauge the specific price action throughout the intrabar movements. Interactions with the RSI levels can now take multiple forms, whether it be a full-bodied breakthrough or simply a wick test. Both can provide a new analysis of price action alongside RSI. An example of wick interactions and full-bodied interactions can be seen below. As a result of the candlestick display, divergences become simpler to spot. Since the candlesticks on the RSI closely resemble the candlesticks on the chart, when looking for divergence between the chart and RSI, it is more obvious when the RSI and price are diverging. The divergences in this indicator not only show on the RSI oscillator, but also overlay on the price chart for clearer understanding. 🔹 Filtering Divergence With the candlesticks generating high and low RSI values, we can better sense divergences from price, since these points are generally going to be more dramatic than the (close) RSI value. This indicator displays each type of divergence: Bullish Divergence Bearish Divergence Hidden Bullish Divergence Hidden Bearish Divergence From these, we get many less-than-useful indications, since every single divergence from price is not necessarily of great importance. The Divergence Filter disregards any divergence detected that does not extend outside the RSI upper or lower values. This does not replace good judgment, but this filter can be helpful in focusing attention towards the extremes of RSI for potential reversal spotting from divergence. 🔶 DETAILS In order to get the desired results for a display that resembles price action while following RSI, we must scale. The scaling is the most important part of this indicator. To summarize the process: Identify a range on Price and RSI Consider them as equal to create a scaling factor Use the scaling factor to locate RSI's "Price equivalent" Upper, Lower, & Mid on the Chart Use those prices (specifically the RSI Mid) to check how far each OHLC value lies from it Use those differences to translate the price back to the RSI Oscillator, pinning the OHLC values at their relative location to our anchor (RSI Mid) 🔹 RSI Channel To better understand, and for your convenience, the indicator includes the option to display the RSI Channel on the chart. This channel helps to visualize where the scaled RSI values are relative to price. If you analyze the RSI channel, you are likely to notice that the price movement throughout the channel matches the same movement witnessed in the RSI Oscillator below. This makes sense since they are the exact same thing displayed on different scales. 🔹 Scaling the Open While the scaling method used is important, and provides a very close view of the real price bar's relative locations on the RSI oscillator… It is designed for a single purpose. The scaling does NOT make the price candles display perfectly on the RSI oscillator. The largest place where this is noticeable is with the opening of each candle. For this reason, we have included a setting that modifies the opening of each RSI candle to be more accurate to the chart's price candles. This setting positions the current bar's opening RSI candlestick value accurately relative to the price's open location to the previous closing price. As seen below. 🔶 SETTINGS 🔹 RSI Candles RSI Length: Sets the Length for the RSI Oscillator. Overbought/Oversold Levels: Sets the Overbought and Oversold levels for the RSI Oscillator. Scale Open for Chart Accuracy: As described above, scales the open of each candlestick bar to more accurately portray the chart candlesticks. 🔹 Divergence Show on Chart: Choose to display divergence line on the chart as well as on the Oscillator. Divergence Length: Sets the pivot width for divergence detection. Normal Fractal Pivot Detection is used. Divergence Style: Change color and line style for Regular and Hidden divergences, as well as toggle their display. Divergence Filter: As described above, toggle on or off divergence filtering. 🔹 RSI Channel Toggle: Display RSI Channel on Chart. Color: Change RSI Channel Color
مؤشر Pine Script®
من ‎LuxAlgo‎
19
Altcoin Reversal or Correction DetectionINDICATOR OVERVIEW: Altcoin Reversal or Correction Detection Altcoin Reversal or Correction Detection is a powerful crypto-specific indicator designed exclusively for altcoins by analyzing their RSI values across multiple timeframes alongside Bitcoin’s RSI. Since BTC's price movements have a strong influence on altcoins, this tool helps traders better understand whether a reversal or correction signal is truly reliable or just noise. Even if an altcoin appears oversold or overbought, it may continue trending with BTC—so this indicator gives you the full picture. The indicator is optimized for CRYPTO MARKETS only. Not suitable for BTC itself—this is a precision tool built only for ALTCOINS only. This indicator is not only for signals but also serves as a tool for observing all the information from different timeframes of BTC and altcoins collectively. How the Calculation Works: Algorithm Overview The Altcoin Reversal or Correction Detection indicator relies on an algorithm that compares the RSI values of the altcoin across multiple timeframes with Bitcoin's RSI values. This allows the indicator to identify key market moments where a reversal or correction might occur. BTC-Altcoin RSI Correlation: The algorithm looks for the correlation between Bitcoin's price movements and the altcoin's price actions, as BTC often influences the direction of altcoins. When both Bitcoin and the altcoin show either overbought or oversold conditions in a significant number of timeframes, the indicator signals the potential for a reversal or correction. Multi-Timeframe Confirmation: Unlike traditional indicators that may focus on a single timeframe, this tool checks multiple timeframes for both BTC and the altcoin. When the same overbought/oversold conditions are met across multiple timeframes, it confirms the likelihood of a trend reversal or correction, providing a more reliable signal. The more timeframes that align with this pattern, the stronger the signal becomes. Overbought/Oversold Conditions & Extreme RSI Values: The algorithm also takes into account the size of the RSI values, especially focusing on extreme overbought and oversold levels. The greater the RSI values are in these extreme regions, the stronger the potential reversal or correction signal. This means that not only do multiple timeframes need to confirm the condition, but the magnitude of the overbought or oversold RSI level plays a crucial role in determining the strength of the signal. Signal Strength Levels: The signals are classified into three levels: Early Signal Strong Signal Very Strong Signal By taking into account the multi-timeframe analysis of both BTC and the altcoin RSI values, along with the magnitude of these RSI values, the indicator offers a highly reliable method for detecting potential reversals and corrections. Who Is This Indicator Suitable For? This indicator can also be used to detect reversal points, but it is especially effective for scalping. It highlights potential correction points, making it perfect for quick entries during smaller market pullbacks or short-term trend shifts, which is more suitable for scalpers looking to capitalize on short-term movements Integration with other tools Use this tool alongside key Support and Resistance zones to further enhance your trade by filtering for even better quality entries and focusing only on high-quality reversal or correction setups. It can be also used with other indicators and suitable with other personalised strategies.
مؤشر Pine Script®
من ‎ebecihalil‎
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay. Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action. ⚪ In simple terms: ▸ The Bands = The Stochastic Oscillator — but on price. ▸ The Midline = Stochastic 50 level ▸ Upper Band = Stochastic Overbought Threshold ▸ Lower Band = Stochastic Oversold Threshold When the price moves above the midline → it’s the same as the oscillator moving above 50 When the price breaks above the upper band → it’s the same as Stochastic entering overbought. When the price reaches the lower band →, think of it like Stochastic being oversold. This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart. █ How It Works The indicator layers 3 distinct technical elements into one clean view: ⚪ Stochastic Momentum Engine Tracks overbought/oversold conditions and directional strength using: %K Line → Momentum of price %D Line → Smoothing filter of %K Overbought/Oversold Bands → Highlight potential reversal zones ⚪ Volatility Adaptive Bands Dynamic bands plotted above and below price using: ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable) This means: → In strong trends: Bands expand → In consolidations: Bands contract ⚪ Regression Channel Projects trend direction with different models: Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks) Linear → Classic regression fit Adaptive → Dynamically adjusts sensitivity Leading → Projects trend further ahead (aggressive mode) Channels include: Midline → Fair value trend Upper/Lower Bounds → Deviation-based support/resistance ⚪ Heatmap - Bull & Bear Power Strength Visual heatmeter showing: % dominance of bulls vs bears (based on close > or < Band Basis) Automatic normalization regardless of timeframe Table display on-chart for quick visual insight Dynamic highlighting when extreme levels are reached ⚪ Trend Candlestick Coloring Bars auto-color based on trend filter: Above Basis → Bullish Color Below Basis → Bearish Color █ How to Use ⚪ Trend Trading → Use Band direction + Regression Channel to identify trend alignment → Longs favored when price holds above the Basis → Shorts favored when price stays below the Basis → Use the Bull & Bear heatmap to asses if the bulls or the bears are in control. ⚪ Mean Reversion → Look for price to interact with Upper or Lower Band extremes → Stochastic reaching OB/OS zones further supports reversals ⚪ Momentum Confirmation → Crossovers between %K and %D can confirm continuation or divergence signals → Especially powerful when happening at band boundaries ⚪ Strength Heatmap → Quickly visualize current buyer vs seller control → Sharp spikes in Bull Power = Aggressive buying → Sharp spikes in Bear Power = Heavy selling pressure █ Why It Useful This is not a typical Stochastic or regression tool. The tool is designed for traders who want to: React dynamically to price volatility Map momentum into volatility context Use adaptive regression channels across trend styles Visualize bull vs bear power in real-time Follow trends with built-in reversal logic █ Settings Stochastic Settings Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals. %K Smoothing → Smooths the Stochastic line itself. %D Smoothing → Smooths the moving average of %K for slower signals. Stochastic Band Band Length → Length of the Moving Average Basis. Volatility Multiplier → Controls band width via ATR scaling. Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA). Regression Channel Regression Type → Logarithmic / Linear / Adaptive / Leading. Regression Length → Number of bars for regression calculation. Heatmap Settings Heatmap Length → Number of bars to calculate bull/bear dominance. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
مؤشر Pine Script®
من ‎Zeiierman‎
27
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts. Key Features Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics. Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function: At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mi​x+bi​. Standard deviations can be calculated from the sequence of slopes, {mi​}, and intercepts, {bi​}. Each standard deviation has a corresponding probability. Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other. Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions. Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics. The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes. Additional information: Leavitt, in his study, considers the SPY chart. When the Convolution Probability (CP) is high, it indicates that the probability P1​ (related to the slope) is high, and conversely, when CP is low, P1​ is low and P2 is high. For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21​(1+erf(σ2​x−μ​)) where μ is the mean and σ is the standard deviation. For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope)))) Conclusions This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
مؤشر Pine Script®
من ‎dPEngineering‎
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities. ⸻ Smart Configuration Feature What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters: • Length – The period over which the price changes are smoothed. • Momentum Length – The number of bars used to calculate the price change. By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons. ⸻ Key Features & Benefits 1. Momentum-Based Insights • Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI. • Enhanced adaptability for a wide range of asset classes and time horizons. 2. Simple Yet Powerful Configuration • Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style. • Eliminates guesswork and manual recalibration when switching between markets or timeframes. 3. Overbought & Oversold Visualization • Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20). • Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals. 4. Intuitive Design & Ease of Use • Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum. • Straightforward dropdown menus keep the interface user-friendly, even for novice traders. ⸻ Practical Applications • Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa. • Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals. • Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions. • Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively. ⸻ Disclaimer As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results. ⸻ Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
مؤشر Pine Script®
من ‎paradoxalgo‎
Stochastic Fusion Elite [trade_lexx]📈 Stochastic Fusion Elite is your reliable trading assistant! 📊 What is Stochastic Fusion Elite ? Stochastic Fusion Elite is a trading indicator based on a stochastic oscillator. It analyzes the rate of price change and generates buy or sell signals based on various technical analysis methods. 💡 The main components of the indicator 📊 Stochastic oscillator (K and D) Stochastic shows the position of the current price relative to the price range for a certain period. Values above 80 indicate overbought (an early sale is possible), and values below 20 indicate oversold (an early purchase is possible). 📈 Moving Averages (MA) The indicator uses 10 different types of moving averages to smooth stochastic lines.: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - HMA: Moving Average Scale - KAMA: Kaufman Adaptive Moving Average - VWMA: Volume-weighted moving average - ALMA: Arnaud Legoux Moving Average - TEMA: Triple exponential moving average - ZLEMA: zero delay exponential moving average - DEMA: Double exponential moving average The choice of the type of moving average affects the speed of the indicator's response to market changes. 🎯 Bollinger Bands (BB) Bands around the moving average that widen and narrow depending on volatility. They help determine when the stochastic is out of the normal range. 🔄 Divergences Divergences show discrepancies between price and stochastic: - Bullish divergence: price is falling and stochastic is rising — an upward reversal is possible - Bearish divergence: the price is rising, and stochastic is falling — a downward reversal is possible 🔍 Indicator signals 1️⃣ KD signals (K and D stochastic lines) - Buy signal: - What happens: the %K line crosses the %D line from bottom to top - What does it look like: a green triangle with the label "KD" under the chart and the label "Buy" below the bar - What does this mean: the price is gaining an upward momentum, growth is possible - Sell signal: - What happens: the %K line crosses the %D line from top to bottom - What it looks like: a red triangle with the label "KD" above the chart and the label "Sell" above the bar - What does this mean: the price is losing its upward momentum, possibly falling 2️⃣ Moving Average Signals (MA) - Buy Signal: - What happens: stochastic crosses the moving average from bottom to top - What it looks like: a green triangle with the label "MA" under the chart and the label "Buy" below the bar - What does this mean: stochastic is starting to accelerate upward, price growth is possible - Sell signal: - What happens: stochastic crosses the moving average from top to bottom - What it looks like: a red triangle with the label "MA" above the chart and the label "Sell" above the bar - What does this mean: stochastic is starting to accelerate downwards, a price drop is possible 3️⃣ Bollinger Band Signals (BB) - Buy signal: - What happens: stochastic crosses the lower Bollinger band from bottom to top - What it looks like: a green triangle with the label "BB" under the chart and the label "Buy" below the bar - What does this mean: stochastic was too low and is now starting to recover - Sell signal: - What happens: Stochastic crosses the upper Bollinger band from top to bottom - What it looks like: a red triangle with a "BB" label above the chart and a "Sell" label above the bar - What does this mean: stochastic was too high and is now starting to decline 4️⃣ Divergence Signals (Div) - Buy Signal (Bullish Divergence): - What's happening: the price is falling, and stochastic is forming higher lows - What it looks like: a green triangle with a "Div" label under the chart and a "Buy" label below the bar - What does this mean: despite the falling price, the momentum is already changing in an upward direction - Sell signal (bearish divergence): - What's going on: the price is rising, and stochastic is forming lower highs - What it looks like: a red triangle with a "Div" label above the chart and a "Sell" label above the bar - What does this mean: despite the price increase, the momentum is already weakening 🛠️ Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals - Why it is needed: prevents signals from being too frequent during strong market fluctuations - How to set it up: Set the number from 0 and above (default: 5) 2️⃣ "Waiting for the opposite signal" mode - What it does: waits for a signal in the opposite direction before generating a new signal - Why you need it: it helps you not to miss important trend reversals - How to set up: just turn the function on or off 3️⃣ Filter by stochastic levels - What it does: generates signals only when the stochastic is in the specified ranges - Why it is needed: it helps to catch the moments when the market is oversold or overbought - How to set up: - For buy signals: set a range for oversold (for example, 1-20) - For sell signals: set a range for overbought (for example, 80-100) 4️⃣ MFI filter - What it does: additionally checks the values of the cash flow index (MFI) - Why it is needed: confirms stochastic signals with cash flow data - How to set it up: - For buy signals: set the range for oversold MFI (for example, 1-25) - For sell signals: set the range for overbought MFI (for example, 75-100) 5️⃣ The RSI filter - What it does: additionally checks the RSI values to confirm the signals - Why it is needed: adds additional confirmation from another popular indicator - How to set up: - For buy signals: set the range for oversold MFI (for example, 1-30) - For sell signals: set the range for overbought MFI (for example, 70-100) 🔄 Signal combination modes 1️⃣ Normal mode - How it works: all signals (KD, MA, BB, Div) work independently of each other - When to use it: for general market analysis or when learning how to work with the indicator 2️⃣ "AND" Mode ("AND Mode") - How it works: the alarm appears only when several conditions are triggered simultaneously - Combination options: - KD+MA: signals from the KD and moving average lines - KD+BB: signals from KD lines and Bollinger bands - KD+Div: signals from the KD and divergence lines - KD+MA+BB: three signals simultaneously - KD+MA+Div: three signals at the same time - KD+BB+Div: three signals at the same time - KD+MA+BB+Div: all four signals at the same time - When to use: for more reliable but rare signals 🔌 Connecting to trading strategies The indicator can be connected to your trading strategies using 6 different channels.: 1. Connector KD signals: connects only the signals from the intersection of lines K and D 2. Connector MA signals: connects only signals from moving averages 3. Connector BB signal: connects only the signals from the Bollinger bands 4. Connector divergence signals: connects only divergence signals 5. Combined Connector: connects any signals 6. Connector for "And" mode: connects only combined signals 🔔 Setting up alerts The indicator can send alerts when alarms appear.: - Alerts for KD: when the %K line crosses the %D line - Alerts for MA: when stochastic crosses the moving average - Alerts for BB: when stochastic crosses the Bollinger bands - Divergence alerts: when a divergence is detected - Combined alerts: for all types of alarms - Alerts for "And" mode: for combined signals 🎭 What does the indicator look like on the chart ? - Main lines K and D: blue and orange lines - Overbought/oversold levels: horizontal lines at levels 20 and 80 - Middle line: dotted line at level 50 - Stochastic Moving Average: yellow line - Bollinger bands: green lines around the moving average - Signals: green and red triangles with corresponding labels 📚 How to start using Stochastic Fusion Elite 1️⃣ Initial setup - Add an indicator to your chart - Select the types of signals you want to use (KD, MA, BB, Div) - Adjust the period and smoothing for the K and D lines 2️⃣ Filter settings - Set the distance between the signals to get rid of unnecessary noise - Adjust stochastic, MFI and RSI levels depending on the volatility of your asset - If you need more reliable signals, turn on the "Waiting for the opposite signal" mode. 3️⃣ Operation mode selection - First, use the standard mode to see all possible signals. - When you get comfortable, try the "And" mode for rarer signals. 4️⃣ Setting up Alerts - Select the types of signals you want to be notified about - Set up alerts for these types of signals 5️⃣ Verification and adaptation - Check the operation of the indicator on historical data - Adjust the parameters for a specific asset - Adapt the settings to your trading style 🌟 Usage examples For trend trading - Use the KD and MA signals in the direction of the main trend - Set the distance between the signals - Set stricter levels for filters For trading in a sideways range - Use BB signals to detect bounces from the range boundaries - Use a stochastic level filter to confirm overbought/oversold conditions - Adjust the Bollinger bands according to the width of the range To determine the pivot points - Pay attention to the divergence signals - Set the distance between the signals - Check the MFI and RSI filters for additional confirmation
مؤشر Pine Script®
من ‎trade_lexx‎
2
Peak Reaction Zones [BigBeluga]Peak Reaction Zones is an advanced Smart Money Concept (SMC) indicator that identifies the most recent swing high and swing low zones, helping traders determine premium and discount areas for optimal trade positioning. 🔵 Key Features: Swing High & Low Zones: Automatically detects the latest swing high and swing low levels. Helps traders identify key reaction points where price is likely to respond. Premium & Discount Concept: The high zone represents a premium area, where price is overextended and may reverse. The low zone represents a discount area, where price is undervalued and may bounce. The midline dynamically marks the equilibrium of the range. Adjustable Zone Width: Users can fine-tune the width of the zones to match their trading style. Wider zones capture broader reaction ranges, while narrower zones focus on precise levels. Zone Retest Signals: Blue markers appear when price retests the lower reaction zone, signaling potential support. Orange markers appear when price retests the upper reaction zone, indicating possible resistance. Price Labels for Key Levels: Displays the price value of the swing high, swing low, and midline for quick reference. Helps traders recognize major reaction points at a glance. 🔵 Usage: Smart Money Trading: Utilize the premium and discount concept to align trades with institutional order flow. Zone Reactions: Watch for price tests of reaction zones and use the retest signals to confirm potential reversals. Midline Confirmation: If price holds above or below the midline, it can indicate directional bias. Scalping & Swing Trading: Short-term traders can look for zone rejections, while swing traders can use the levels for trend continuation setups. Peak Reaction Zones is a must-have tool for traders looking to trade with Smart Money Concepts, allowing for precise entries and exits based on key liquidity areas and market structure.
مؤشر Pine Script®
من ‎BigBeluga‎
28
[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy█ STRATEGY DESCRIPTION The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback. █ HOW IS THE ATR SIGNAL BAND CALCULATED? This strategy computes an ATR-based signal trigger as follows: Calculate the ATR The strategy computes the Average True Range (ATR) using a configurable period provided by the user: atrValue = ta.atr(atrPeriod) Determine the Threshold Multiply the ATR by a predefined multiplier and add it to the current close: atrThreshold = close + atrValue * atrMultInput Smooth the Threshold Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise: signalTrigger = ta.sma(atrThreshold, smoothPeriodInput) █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current close is above the smoothed ATR signal trigger. The trade occurs within the specified trading window (between Start Time and End Time). If the EMA filter is enabled, the close must also be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20). ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0). Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10). Start Time and End Time: Defines the time window during which trades are allowed. EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend. █ PERFORMANCE OVERVIEW This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves. It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry. The optional EMA filter helps align trades with broader market trends, potentially reducing false signals. Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.
استراتيجية Pine Script®
من ‎Botnet101‎
1
MACD & Bollinger Bands Overbought OversoldMACD & Bollinger Bands Reversal Detector This indicator combines the power of MACD divergence analysis with Bollinger Bands to help traders identify potential reversal points in the market. Key Features: MACD Calculation & Divergence: The script calculates the standard MACD components (MACD line, Signal line, and Histogram) using configurable fast, slow, and signal lengths. It includes a simplified divergence detection mechanism that flags potential bearish divergence—when the price makes a new swing high but the MACD fails to confirm the move. This divergence can serve as an early warning that the bullish momentum is waning. Bollinger Bands: A 20-period simple moving average (SMA) is used as the basis, with upper and lower bands drawn at 2 standard deviations. These bands help visualize overbought and oversold conditions. For example, a close at or above the upper band suggests the market may be overextended (overbought), while a close at or below the lower band may indicate oversold conditions. Visual Alerts: The indicator plots the Bollinger Bands on the chart along with labels marking overbought and oversold conditions. Additionally, it marks potential bearish divergence with a downward triangle, providing a quick visual cue to traders. Usage Suggestions: Confluence with Other Signals: Use the divergence signals and Bollinger Band conditions as filters. For example, even if another indicator suggests a long entry, you might avoid it if the price is overbought or if MACD divergence warns of weakening momentum. Customization: All key parameters, such as the MACD lengths, Bollinger Band period, and multiplier, are fully configurable. This flexibility allows you to adjust the indicator to suit different markets or trading styles. Disclaimer: This script is provided for educational purposes only. Always perform your own analysis and backtesting before trading with live capital.
مؤشر Pine Script®
من ‎QuantByBoji‎