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Smart Price Divergence (MACD Filter) + EMA📌 Purpose This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition. It helps identify high-probability reversal zones aligned with market trend context. 🧠 How It Works 1. MACD Divergence Logic Bearish Divergence: Price makes a higher high. MACD makes a lower high. Price is above EMA (indicating possible exhaustion in bullish trend). Bullish Divergence: Price makes a lower low. MACD makes a higher low. Price is below EMA (indicating possible exhaustion in bearish trend). 2. EMA Trend Filter EMA(200) is used as a directional filter: Bearish divergences considered above EMA (extended bullish conditions). Bullish divergences considered below EMA (extended bearish conditions). 3. Visual & Alerts EMA(200) plotted on chart in orange. Red triangles for Bearish Divergence. Green triangles for Bullish Divergence. Alerts fire for both divergence types. 📈 How to Use Look for divergence signals as potential reversal alerts. Combine with support/resistance or price action for confirmation. EMA ensures signals occur in extended zones, increasing reliability. Recommended Timeframes: 1h, 4h, D. Markets: Forex, Crypto, Stocks. ⚙️ Inputs MACD Fast / Slow / Signal Length EMA Length (default 200) ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
Indicador Pine Script®
por artemka3091
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator. It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring. 🧠 How It Works 1. RSI Calculation RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14). 2. Divergence Detection via Fractals Swing points on both price and RSI are detected using fractal logic (5-bar patterns). Regular Divergence: Bearish: Price forms a higher high, RSI forms a lower high. Bullish: Price forms a lower low, RSI forms a higher low. Hidden Divergence: Bearish: Price forms a lower high, RSI forms a higher high. Bullish: Price forms a higher low, RSI forms a lower low. 3. Auto Drawing Lines Lines are drawn automatically between divergence points: Red = Regular Bearish Green = Regular Bullish Orange = Hidden Bearish Blue = Hidden Bullish Line width and transparency are adjustable. 4. Labels and Alerts Labels mark divergence points with up/down arrows. Alerts trigger for each divergence type. 📈 How to Use Use Regular Divergences to anticipate trend reversals. Use Hidden Divergences to confirm trend continuation. Combine with support/resistance, trendlines, or volume for higher probability setups. Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily. Markets: Forex, Crypto, Stocks. ⚙️ Inputs Source (Close, HL2, etc.) RSI Length Toggle Regular / Hidden Divergence visibility Toggle Lines / Labels Line Width & Line Transparency ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before using in live trading.
Indicador Pine Script®
por artemka3091
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters. 🧠 How It Works A signal is triggered only when all core conditions are satisfied: 1. Swing High/Low Detection Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50). This ensures the move is significant relative to recent price action. 2. Impulse Confirmation Price must extend by at least 1 × ATR from the previous swing point. This filters out minor fluctuations. 3. Exhaustion Conditions (at least 2 out of 3 must be met) RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals. Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier. Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups. 4. Trend Filter ADX > ADX Threshold ensures the market is trending and filters out sideways conditions. 5. Candle Body Filter Candle body must be ≥ Body Size ATR Factor × ATR. This avoids weak signals from small candles or doji formations. 📈 How to Use Bearish Signal: Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts. Bullish Signal: Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs. Recommended Timeframes: Works best on 1h, 4h, and Daily charts. Markets: Crypto, Forex, Stocks — wherever volatility and trends are present. ⚙️ Inputs RSI Length / Overbought / Oversold Volume SMA Length & Volume Spike Multiplier Wick Threshold % Extremum Lookback (bars for highs/lows) ADX Length & Threshold Body Size ATR Factor ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly and apply proper risk management before live trading. 💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
Indicador Pine Script®
por artemka3091
JHW Volume Based Buy and Sell MomentumThe JHW Volume-Based Buy and Sell Momentum indicator is a custom momentum oscillator designed to capture market sentiment based on volume dynamics and price rate of change (ROC). It aims to identify bullish or bearish momentum by analyzing how price reacts to increasing or decreasing trading volume. Core Logic: The indicator calculates the Rate of Change (ROC) of the closing price. It then accumulates this ROC separately based on whether the current volume is lower or higher than the previous bar: If volume decreases, the ROC is added to a "negative volume index" accumulator. If volume increases, the ROC is added to a "positive volume index" accumulator. These two accumulators are combined to form a net momentum line. Smoothing: A Simple Moving Average (SMA) is applied to both accumulators over a user-defined period (default: 25 bars). The sum of these smoothed values forms the signal line. Visualization: The indicator plots: The net momentum line (yellow). The smoothed signal line (blue). The area between the two lines is filled with color: Yellow when momentum is above the signal (bullish). Blue when momentum is below the signal (bearish). Bar colors are also adjusted to reflect the current momentum state. Use Case: This indicator helps traders: Detect volume-driven momentum shifts. Identify potential buy or sell zones based on volume behavior. Confirm trends or spot early reversals.
Indicador Pine Script®
por jwindeler
1
MCPZ - Meme Coin Price Z-Score [Da_Prof]Meme Coin Price Z-score (MCPZ). Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin price is observed, a top may be near. Similarly, if a long price depression is observed, versus historical prices, that generally corresponds to investor apathy, leading to higher prices. The MEME.C symbol allows us to evaluate the sentiment of meme coin traders. Paired with the Meme Coin Volume (MCV) and Meme Coin Gains (MCG) indicators, the MCPZ helps to identify tops and bottoms in the overall meme coin market. The MCPZ indicator helps identify potential mania phases, which may signal nearing of a top and apathy phases, which may signal nearing a bottom. A moving average of the Z-score is used to smooth the data and help visualize changes in trend. In back testing, I found a 10-day sma of the MCPZ works well to signal tops and bottoms when extreme values of this indicator are reached. The MCPZ seems to spend a large amount of time near the low trigger line and short periods fast increase into mania phases. Meme coins were not traded heavily prior to 2020, but the indicator still picks a couple of tops prior to 2020. Be aware that the meme coin space also increased massively in 2020, so mania phases may not spike quite as high moving forward and the indicator may need adjusting to catch tops. It is recommended to pair this indicator with the MCG and MCV indicators to create an overall picture. The indicator grabs data from the MEME.C symbol on the daily such that it can be viewed on other symbols. Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of memes or any other asset. Hope this is helpful to you. --Da_Prof
Indicador Pine Script®
por Da_Prof
Trigonometric StochasticTrigonometric Stochastic - Mathematical Smoothing Oscillator Overview A revolutionary approach to stochastic oscillation using sine wave mathematical smoothing. This indicator transforms traditional stochastic calculations through trigonometric functions, creating an ultra-smooth oscillator that reduces noise while maintaining sensitivity to price changes. Mathematical Foundation Unlike standard stochastic oscillators, this version applies sine wave smoothing: • Raw Stochastic: (close - lowest_low) / (highest_high - lowest_low) × 100 • Trigonometric Smoothing: 50 + 50 × sin(2π × raw_stochastic / 100) • Result: Naturally smooth oscillator with mathematical precision Key Features Advanced Smoothing Technology • Sine Wave Filter: Eliminates choppy movements while preserving signal integrity • Natural Boundaries: Mathematically constrained between 0-100 • Reduced False Signals: Trigonometric smoothing filters market noise effectively Traditional Stochastic Levels • Overbought Zone: 80 level (dashed line) • Oversold Zone: 20 level (dashed line) • Midline: 50 level (dotted line) - equilibrium point • Visual Clarity: Clean oscillator panel with clear level markings Smart Signal Generation • Anti-Repaint Logic: Uses confirmed previous bar values • Buy Signals: Generated when crossing above 30 from oversold territory • Sell Signals: Generated when crossing below 70 from overbought territory • Crossover Detection: Precise entry/exit timing Professional Presentation • Separate Panel: Dedicated oscillator window (overlay=false) • Price Format: Formatted as price indicator with 2-decimal precision • Theme Adaptive: Automatically matches your chart color scheme Parameters • Cycle Length (5-200): Period for highest/lowest calculations - Shorter periods = more sensitive, more signals - Longer periods = smoother, fewer but stronger signals Trading Applications Momentum Analysis • Overbought/Oversold: Clear visual identification of extreme levels • Momentum Shifts: Early detection of momentum changes • Trend Strength: Monitor oscillator position relative to midline Signal Trading • Long Entries: Buy when crossing above 30 (oversold bounce) • Short Entries: Sell when crossing below 70 (overbought rejection) • Confirmation Tool: Use with trend indicators for higher probability trades Divergence Detection • Bullish Divergence: Price makes lower lows, oscillator makes higher lows • Bearish Divergence: Price makes higher highs, oscillator makes lower highs • Early Warning: Spot potential trend reversals before they occur Trading Strategies Scalping (5-15min timeframes) • Use cycle length 10-14 for quick signals • Focus on 20/80 level bounces • Combine with price action confirmation Swing Trading (1H-4H timeframes) • Use cycle length 20-30 for reliable signals • Wait for clear crossovers with momentum • Monitor divergences for reversal setups Position Trading (Daily+ timeframes) • Use cycle length 50+ for major signals • Focus on extreme readings (below 10, above 90) • Combine with fundamental analysis Advantages Over Standard Stochastic 1. Smoother Action: Sine wave smoothing reduces whipsaws 2. Mathematical Precision: Trigonometric functions provide consistent behavior 3. Maintained Sensitivity: Smoothing doesn't compromise signal quality 4. Reduced Noise: Cleaner signals in volatile markets 5. Visual Appeal: More aesthetically pleasing oscillator movement Best Practices • Market Context: Consider overall trend direction • Multiple Timeframe: Confirm signals on higher timeframes • Risk Management: Always use proper position sizing • Backtesting: Test parameters on your preferred instruments • Combination: Works excellently with trend-following indicators Built-in Alerts • Buy Alert: Trigonometric stochastic oversold crossover • Sell Alert: Trigonometric stochastic overbought crossunder Technical Specifications • Pine Script Version: v6 • Panel: Separate oscillator window • Format: Price indicator with 2-decimal precision • Performance: Optimized for all timeframes • Compatibility: Works with all instruments Free and open-source indicator. Modify, improve, and share with the community! Educational Value: Perfect for traders wanting to understand how mathematical smoothing improves oscillators and trigonometric applications in technical analysis.
Indicador Pine Script®
por agatarigan
New Rsi For Entry FiltrationThis indicator, which is based on the RSI indicator, is written to prevent you from entering the wrong trade. Its operation is very simple. Enter a long trade when both the main area and the lower ribbon are green. Also, for a short trade, both the main area and the lower ribbon are red. The purple line also shows the stop loss level based on ATR. It is not advisable to enter the trade at the points indicated by R because the candlestick length is long.
Indicador Pine Script®
por setbet215
1
NAIFCHART_Osc+ ST+sqzmom# NAIFCHART Multi-Component Indicator: Trading Analysis Guide ## Overview The NAIFCHART Osc+ ST+sqzmom indicator combines three proven technical analysis tools into a unified trading system. This indicator was developed and shared by the trading community at t.me providing traders with comprehensive market analysis through integrated momentum, trend, and volatility assessment. ## Core Components **Wave Trend Oscillator**: Identifies overbought and oversold conditions using exponential moving averages. Key levels include overbought zones at 60 and 53, with oversold areas at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart. **Supertrend Indicator**: Determines market direction using Average True Range calculations with a 2.5 factor and 10-period ATR. Green lines indicate uptrends while red lines signal downtrends. The indicator adapts to market volatility, providing reliable trend identification across different market conditions. **Squeeze Momentum**: Compares Bollinger Bands with Keltner Channels to identify consolidation periods and breakouts. Black squares indicate squeeze conditions (low volatility), green triangles signal upward breakouts, and red triangles mark downward breakouts. ## Trading Signals **Long Entry Signals**: Green triangles from Squeeze Momentum, Supertrend line turning green, and bullish crossovers in Wave Trend Oscillator from oversold levels. **Short Entry Signals**: Red triangles from Squeeze Momentum, Supertrend line turning red, and bearish crossovers in Wave Trend Oscillator from overbought levels. ## Risk Management Features The indicator automatically calculates risk management levels using ATR-based calculations. Stop losses are positioned at 3x ATR distance, while three progressive take profit targets are set at 1x, 2x, and 3x ATR multiples. All levels are clearly displayed on the chart with colored lines and labels. When trend direction changes, previous levels are automatically cleared and new calculations are generated, ensuring current market conditions are reflected in all risk parameters. ## Alert System Comprehensive alerts include trend changes with complete trade setup details, squeeze release notifications for breakout opportunities, and trend weakness warnings for position management. Alert messages contain trading pair information, timeframe data, and all relevant entry and exit levels. ## Implementation Guidelines **Timeframe Selection**: Higher timeframes (4-hour, daily) provide reliable signals for position trading. One-hour charts work well for day trading, while 15-30 minute timeframes enable scalping with enhanced risk management requirements. **Risk Management**: Limit risk to 1-2% of capital per trade using the calculated stop loss levels for position sizing. Implement partial profit-taking at each target level while adjusting stops to protect gains. **Market Adaptation**: The indicator's ATR-based calculations automatically adjust to market volatility. During high volatility periods, levels widen appropriately, while low volatility conditions result in tighter risk management parameters. ## Best Practices Combine indicator signals with key support and resistance analysis for enhanced validation. Monitor volume to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of economic events that may influence market behavior independent of technical signals. The multi-component design provides internal confirmation through multiple signal alignment requirements, reducing false signals while maintaining reasonable trade frequency for active strategies. ## Community Resources Access ongoing education and strategy discussions through the source community at t.me where traders share market analysis and optimization techniques for this indicator system. ## Conclusion The NAIFCHART indicator offers a systematic approach to market analysis through proven technical components. Success requires understanding each element's functionality and implementing proper risk management principles. The community-driven development ensures practical relevance and ongoing support for traders seeking comprehensive market analysis tools. Practice with demo accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach reduces emotional decision-making while providing clear guidelines for entry, management, and exit strategies across various market conditions.
Indicador Pine Script®
por abindoulah
2
COT Comm OsciDescription The COT Comm Osci is a sentiment oscillator based on net positions from the weekly Commitments of Traders (COT) report. It transforms net positions of Commercials, Noncommercials, or Nonreportables into a 0–100 index. A value of 100 = highest net position within the selected timeframe. A value of 0 = lowest net position. You can define three historical intervals (e.g. 26/ 52 / 156 weeks). Tip To improve your analysis, it's recommended to add a separate COT indicator that visualizes raw Long/Short or net positions directly. This helps interpret the oscillator in context. This script is based on “Commercial Index–Buschi” by MagicEins and has been extended with new features and error handling. Features Select between Commercial, Noncommercial, or Nonreportable trader groups Proper handling of HG Futures (Copper) Displays a warning if the root code is invalid (unsupported market symbol)
Indicador Pine Script®
por gondatom
Hawkes Volatility Exit IndicatorOverview The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto. Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile). This indicator is probably better on exits than entries. Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period. Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics. Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits). Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness. Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities. How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves. Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period. Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars). Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table. Settings Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive). Volatility Lookback (168): Sets the period for percentile calculations. ATR Periods (14): Normalizes volatility using Average True Range. Breakout Threshold (95%): Volatility percentile for entries. Exit Threshold (30%): Volatility percentile for exits. Quiet Threshold (5%): Defines quiet periods. Minimum Hold Bars (3): Ensures positions are held before exiting. Alerts: Enable/disable breakout and exit alerts. How to Use Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT." Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES." Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL). Combine: Pair with price action, support/resistance, or other indicators for better context. Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits. Test on your asset to ensure compatibility (best for markets with volatility clustering). Use alerts to automate signal detection. Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table. Focuses on volatility, not price direction—combine with trend tools. May lag slightly due to the smoothing nature of the Hawkes process. Why Use It? The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision! This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine. This conversion published for wider attention to the Hawkes method.
Indicador Pine Script®
por bearbearbull23
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals. Strategy: Entries (Buy/Short): Entry signals are based on the RSI. A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal. A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal. Exits (Position Closure): Exit signals are based on Bollinger Bands. A long position is closed when the price crosses below the upper Bollinger Band. A short position is closed when the price crosses above the lower Bollinger Band. Key Features: Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality. Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks. Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
Indicador Pine Script®
por gpsrosario
2
RV Indicator This Pine Script defines a custom Relative Volatility (RV) Indicator, which measures the ratio of directional price movement to volatility over a specified number of bars. Below is a full explanation of what this script does. Title: RV Indicator — Relative Volatility Oscillator Purpose: This indicator measures how aggressively price is moving compared to recent volatility, and smooths the result with a signal line. It can be used to gauge momentum shifts and trend strength. How It Works – Step by Step 1. Measuring Price Momentum (v1) It calculates the difference between the close and open prices of the last 4 candles. A weighted average is applied: The current candle and the one 3 bars ago get weight 1. The two middle candles (1 and 2 bars ago) get weight 2. This creates a smoothed momentum measure: If close > open (bullish), v1 is positive. If close < open (bearish), v1 is negative. 2. Measuring Volatility (v2) Similarly, it calculates the high-low range for the last 4 candles. The same weighting (1, 2, 2, 1) is applied. This gives a smoothed volatility measure. 3. Combining Momentum and Volatility (RV Ratio) For the past ti bars (default: 10), it sums up: All v1 values (momentum sum) All v2 values (volatility sum) Then it divides them: 𝑅𝑉= sum of price momentum % sum of volatility This produces the RV value: RV > 0: Momentum is bullish (price is generally moving up relative to its volatility). RV < 0: Momentum is bearish (price is moving down relative to its volatility). 4. Smoothed Signal Line (rvsig) A smoothed version of the RV is created using a weighted average of the latest 4 RV values. This acts like a signal line, similar to how MACD uses a signal line. Crossovers between RV and this signal line can be used to detect shifts in momentum. 5. Visual Output Orange Line (RV): Shows the raw momentum/volatility ratio. Blue Line (Signal): A smoother line that follows RV more slowly. Zero Line: Divides bullish vs. bearish momentum. How to Use It in Trading 1. Look for Crossovers: If RV crosses above its signal line → Possible buy signal (momentum turning bullish). If RV crosses below its signal line → Possible sell signal (momentum turning bearish). 2. Check the Zero Line: If both RV and Signal are above zero, momentum is bullish. If both are below zero, momentum is bearish. 3. Filter False Signals: Combine RV with a trend filter (like a 50 or 200 EMA) to avoid trading against the main trend. Disclaimer: This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions are solely your responsibility. Use at your own risk.
Indicador Pine Script®
por ADXAE
Williams Percent Range with ThresholdEnhance your trading analysis with the "Williams Percent Range with Threshold" indicator, a powerful modification of the classic Williams %R oscillator. This custom version introduces customizable uptrend and downtrend thresholds, combined with dynamic candlestick coloring to visually highlight market trends. Originally designed to identify overbought and oversold conditions, this script takes it a step further by allowing traders to define specific threshold levels for trend detection, making it a versatile tool for momentum and trend-following strategies. Key Features: Customizable Thresholds: Set your own uptrend (default: -16) and downtrend (default: -67) thresholds to adapt the indicator to your trading style. Dynamic Candlestick Coloring: Candles turn green during uptrends, red during downtrends, and gray in neutral conditions, providing an intuitive visual cue directly on the price chart. Flexible Length: Adjust the lookback period (default: 50) to fine-tune sensitivity. Overlay Design: Integrates seamlessly with your price chart, enhancing readability without clutter. How It Works: The Williams %R calculates the current closing price's position relative to the highest and lowest prices over a specified period, expressed as a percentage between -100 and 0. This version adds trend detection based on user-defined thresholds, with candlestick colors reflecting the trend state. The indicator plots the %R line with color changes (green for uptrend, red for downtrend) and includes dashed lines for the custom thresholds. Usage Tips: Use the uptrend threshold (-16 by default) to identify potential buying opportunities when %R exceeds this level. Apply the downtrend threshold (-67 by default) to spot selling opportunities when %R falls below. Combine with other indicators (e.g., moving averages or support/resistance levels) for confirmation signals. Adjust the length and thresholds based on the asset's volatility and your trading timeframe.
Indicador Pine Script®
por xdextra
RSS-Stochastik [afterworktrading]Hi all, this is the first script from the series "afterworktrading". The goal is to develop and provide tools for traders with a fulltime job or little time for trading/analyzing charts. Over time some of the scripts will also be linked to complete trading systems. Let's start with my favourite one, the "RSS-Stochastik" with alert function. The RSS-concept (Relative Spread Strength, developed by Ian Copsey) is based on the variance between a "short" and a "long" moving averages (or "slow" and "fast"), here between two EMA. This variance is calculated and plotted in a RSI-diagram to show "overbought" and "oversold" conditions, helping to identify an ideal entry setup for trend continuation or catching a possible reversal. Compared to the conventional RSI etc., possible reversal or trend continuation areas are often better represented in terms of quality, as an example see the Amazon-Chart. The EMA-values, limit value thresholds and background colors can be set in the script. As a special feature, alarms can be set to be notified when a value has reached the extreme range. This reduces the screen time to the minimum. In my personal trading, this indicator forms the basis for almost all trades, but is not a pure signal indicator on its own. However, the informative value can be further improved if volume or support/resistance zones etc. are linked to the RSS, see example NASDAQ future with support zone price or 200 EMA. Example for a possible RSS-Trade-Setup: - choose an asset with a strong trend - set alerts for crossing the oversold or overbought condition in direction of the trend - in case of an alert check possible support/resistance areas on the current chart level (EMA, price zones, volume zones, anchored VWAP etc.) - trade in the direction of the trend using your preferred entry setup In my opinion, the system can be used very well, especially in trend phases, in order to obtain optimal entries. Does it works also on lower timeframes? Yes, it might work on every timeframe with a strong trend of high quality. Please see attached a 5m-Chart of GPBUSD-pair, notice the signal quality in direction of the trend. Like every trading system this is not the "holy grail setup" and you will have losing trades. But handling this indicator with care you can have better entries especially in trend direction with less screen time due to the alert function. Good luck with it! Further indicators will be published in the coming months, some will also be based on the RSS system. As always: no liability for losing trades, no investment advice etc. Observe the risk limit for every trade!
Indicador Pine Script®
por Arne_80
[Pandora] Laguerre Ultimate Explorations MulticatorIt's time to begin demonstrations differentiating the difference between known and actual feasibility beyond imagination... Welcome to my algorithmic twilight zone . INTRODUCTION: Hot off my press, I present this Laguerre multicator employing PSv6.0, originally formulated by John Ehlers for TASC - July 2025 Traders Tips. Basically I transcended Ehlers' notions of transversal filtration with an overhaul of his Laguerre design with my "what if" Pandora notions included. Striving beyond John Ehlers' original intended design. This action packed indicator is a radically revamped version of his original filter using novel techniques. My aim was to explore whether providing even more enhanced responsiveness and lesser lag is possible and how. Presented here is my mind warping results to witness. EHLERS' LAGUERRE EXPLAINED: First and foremost, the concept of Ehlers' Laguerre-izing method deserves a comprehensive deep dive. Ehlers' Laguerre filter design, as it functions originally, begins with his Ultimate Smoother (US) followed by a gang of four LERP (jargon for Linear intERPolation) filters. Following a myriad of cascading LERPs is a window-like FIR filter tapped into the LERP delay values to provide extra smoothness via the output. On a side note, damping factor controlled LERP filters resemble EMAs indeed, but aren't exactly "periodic" filters that would have a period/length parameter and their subsequent calculations. I won't go into fine-grained relationship details, but EMA and LERP are indeed related in approach, being cousins of similar pedigree. EXAMINING LAGUERRE: I focused firstly on US initialization obstacles at Pine's bar_index==0 with nz() in abundance. The next primary notion of intrigue I mostly wondered about was, why are there four LERP elements instead of fewer or more. Why not three or why not two LERPs, etc... 1-4-6-4-1, I remember seeing those coefficients before in high pass filters. Gathering my thoughts from that highpass knowledge base, I devised other tapped configuration modes to inspect their behavior out of curiosity. Eureka! There is actually more to Laguerre than Ehlers' mind provided, now that I had formulated additional modes. Each mode exhibits it's own lag/smoothness characteristics better than the quad LERPed version. I narrowed it down to a total of 5 modes for exploration. Mode 0 is just the raw US by itself. ANALYZING FILTER BEHAVIORS: Which option might be possibly superior, and how may I determine that? Fortunately, I have a custom-built analyzer allowing me to thoroughly examine transient responses across multiple periodicities simultaneously, providing remarkable visual insights. While Ehlers has meagerly touched upon presenting general frequency responses in his books, I have excelled far beyond that. This robust filter analysis capability enables me to observe finer aspects hidden to others, ultimately leading to the deprecation of numerous existing filters. Not only this, but inventing entirely new species of filtration whether lowpass, highpass, or bandpass is already possible with a thorough comprehensive evaluation. Revealing what's quirky with each filter and having the ability to discover what filters may be lacking in performance, is one of it's implications. I'm just going to explain this: For example US has a little too much overshoot to my liking, along with nonconformant cutoff frequency compliance with the period parameter. Perhaps Ehlers should inspect US coefficients a bit closer... I hope stating this is not received in an ill manner, as it's not my intention here. What this technically eludes to is that UltimateSmoother can be further improved, analogous to my Laguerre alterations described above. I will also state Laguerre can indeed be reformulated to an even greater extent concerning group delay, from what I have already discussed. Another exciting time though... More investigative research is warranted. LAGUERRE CONCLUSIONS: After analyzing Laguerre's frequency compliance, transient responses, amplitudes, lag, symmetry across periodicities, noise rejection, and smoothness... I favor mode 3 for a multitude of reasons over the mode 4 configuration, but mostly superb smoothing with less lag, AND I also appreciated mode 1 & 2 for it's lower lag performance options. Each mode and lag (phase shift) damping value has it's own unique characteristics at extremes, yet they demonstrate additional finesse in it's new hybrid form without adding too much more complexity. This multicator has a bunch of Laguerre filters in the overlay chart over many periodicities so you can easily witness it's differing periodic symmetries on an input signal while adjusting lag and mode. LAGUERRE OSCILLATOR: The oscillator is integrated into the laguerreMulti() function for the intention of posterity only. I performed no evaluation on it, only providing the code in Pine. That wasn't part of my intended exploration adventure, as I'm more TREND oriented for the time being, focusing my efforts there. Market analysis has two primary aspects in my observations, one cyclic while the other is trending dynamics... There's endless oscillators, but my expectations for trend analysis seems a little lesser explored in my opinion, hence my laborious trend endeavors. Ehlers provided both indicator facets this time around, and I hope you find the filtration aspect more intriguing after absorption of this reading. FUNCTION MODULES EXPLAINED: The Ultimate Smoother is an advanced IIR lowpass smoothing filter intended to minimize noise in time series data with minimal group delay, similar to a traditional biquad filter. This calculation helps to create a smoother version of the original signal without the distortions of short-term fluctuations and with minimal lag, adjustable by period. The Modified Laguerre Lowpass Filter (MLLF) enhances the functionality of US by introducing a Laguerre mode parameter along side the lag parameter to refine control over the amount of additional smoothing/lag applied to the signal. By tethering US with this LERPed lag mechanism, MLLF achieves an effective balance between responsiveness and smoothness, allowing for customizable lag adjustments via multiple inputs. This filter ends with selecting from a choice of weighted averages derived from a gang of up to four cascading LERP calculations, resulting with smoother representations of the data. The Laguerre Oscillator is a momentum-like indicator derived from the output of US and a singular LERPed lowpass filter. It calculates the difference between the US data and Laguerre filter data, normalizing it by the root mean square (RMS). This quasi-normalization technique helps to assess the intensity of the momentum on any timeframe within an expected bound range centered around 0.0. When the Laguerre Oscillator is positive, it suggests that the smoothed data is trending upward, while a negative value indicates a downward trend. Adjustability is controlled with period, lag, Laguerre mode, and RMS period.
Indicador Pine Script®
por ImmortalFreedom
5
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference. 🔍 What Is MVRV and Why Is It Important? MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization. - Market Cap: The total circulating supply multiplied by the current market price. - Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation. Normal Calculation: MVRV_Normal = Market Cap / Realized Cap This version reflects investor profitability and identifies potential accumulation or distribution zones. 📊 Z-Score Calculation: MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes. 🔎 How Market Cap Is Computed Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown: Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY Realized Capitalization = MARKETCAPREAL Component Definitions: - MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins. - MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins. - MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin. This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers. ⚙️ User-Configurable Parameters - MVRV Mode: Choose between Normal and Z-Score. - Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6). - Thresholds for Analysis: - Normal mode: Define overbought and oversold levels (default 1.0 and 3.5). - Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0). - Table Controls: - Adjustable position on screen (9 options). - Font size customization: tiny, small, normal, large. - Color scheme personalization: - Header: text and background - Body: text and background - Central column separator color 📊 Multicrypto Table Architecture The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value. - Assets are displayed in two blocks separated by a decorative column. - Each value is rounded to one decimal place for clarity. - Cells are styled dynamically based on user settings. 🎨 Decorative Column Separator Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic. 🔁 Default Behavior on Unsupported Assets If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group. 🎯 Color Interpretation by Condition The MVRV value for each asset is highlighted using a traffic light system: - Green: Undervalued (below oversold threshold) - Red: Overvalued (above overbought threshold) - Yellow: Neutral zone This coding simplifies decision-making and visual scanning across assets. Final Notes This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum. It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
Indicador Pine Script®
por Trader_Algoritmico
PRO Investing - Apex EnginePRO Investing - Apex Engine 1. Core Concept: Why Does This Indicator Exist? Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static. The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action. This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines: Volatility analysis (ATR) to generate adaptive lookback periods. Momentum measurement (ROC) to gauge the speed of price changes. Statistical analysis (Correlation) to validate which momentum measurement is most effective right now. Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions. The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal. 2. How It Works: The Engine's Three-Stage Process To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal. Stage 1: Adapt (Dynamic Length Calculation) The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len. Stage 2: Validate (Self-Optimizing Mode Selection) This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard. Stage 3: Signal (Normalized Velocity Oscillator) The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light. 3. How to Use the Indicator: A Practical Guide Reading the Visuals: Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow). Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals. Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align. Background Color (Green/Red/Gray): This is your trend context. Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear. Red: Bearish trend confirmed. Only Sell signals (▼) can appear. Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out. Trading Strategy Example: Wait for a colored background. A green or red background indicates the market is in a tradable trend. Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear. Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns). Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears. 4. Settings and Customization This script is open-source, and its settings are transparent. You are encouraged to understand them. Synaptic Engine Group: Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable. Optimization Lookback: How many bars to use for the correlation check. Switch Sensitivity: A buffer to prevent frantic switching between modes. Advanced Configuration & Filters Group: Price Source: The data source for momentum calculation (default close). Trend Filter MA Type & Length: Define your long-term trend. Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA. ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold. 5. Important Disclaimer This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
Indicador Pine Script®
por PRO-Investing
Gabriel's Dynamic Sentiment RSI📊 Dynamic Sentiment RSI with Velocity, Acceleration & Divergence Detection Created by GabrielAmadeusLau This advanced Pine Script indicator fuses multiple layers of market insight into a unified momentum and sentiment tool. It is designed to extract nuanced sentiment signals from price action using a hybridized RSI model enhanced with stochastic dynamics, volatility weighting, and divergence tracking. It adapts to a wide range of asset classes including equities, crypto, gold, and forex. 🔍 Core Components ✅ 1. Dynamic Sentiment RSI A normalized, stochastic-based RSI that adjusts its sensitivity using the Sentiment Factor. Smoothed using a Jurik Moving Average for precision noise filtering. Weighted using volume, volatility (VIX-like), HL extremes, and trend-based adaptive weighting, giving it a powerful multi-dimensional response. ✅ 2. Hann-Window RSI Calculation Leverages a Hann Window and Levy Flight transformation to amplify cyclical behavior in RSI inputs. Applies power-based weighting to directional movement, ideal for assets with cyclic or fractal-like structure. ✅ 3. Velocity & Acceleration Engine Measures the rate of RSI change over a customizable period, and then the rate of that rate (acceleration). Both are plotted with adaptive coloring to visually represent momentum shifts. This dynamic structure aids in anticipating breakout strength or exhaustion. ✅ 4. Sentiment Heat Background Background shading reflects bullish (teal) or bearish (silver) sentiment using smoothed stochastic RSI outputs. Creates an intuitive market "mood" indicator for quick-glance visual analysis. 🔁 Smoothing & Weighting Customizations You can toggle between different weighting modes: Volume Weighted: Uses volume or ATR if unavailable. VIX Weighted: Incorporates a volatility-based weight via a WVF-like formula. HL Weighted: High-Low range smoothed. Linear Weighted: Applies linear regression to the signal. Trend Adaptive: Squares rolling maximums/minimums for dynamic strength adaptation. 🔎 Divergence Detection System Supports Regular & Hidden Divergence using any of the following pivots: Raw RSI Smoothed K% RSI Sentiment RSI Velocity Acceleration Allows divergence tracking on custom timeframes and Heikin Ashi data. Custom line styles, colors, and optional “last signal only” visibility. Alerts are provided for all four divergence types. 📌 Built-in Alerts ✅ Bullish/Bearish Regular Divergence ✅ Bullish/Bearish Hidden Divergence ✅ General Divergence Summary Alerts ⚙️ Highly Configurable Settings Sentiment Factor scaling (default ~2.2) Levy exponent (ideal between 0.4 to 3.2 depending on asset class) Velocity & Acceleration scaling inputs Pivot lookback controls Toggle smoothing methods and weighting logic 🧠 Ideal Use Cases Swing and Trend Trading: The dynamic structure identifies both trend continuations and reversals with precision. Divergence Confirmation: Confirm entries or exits using regular/hidden divergence alongside acceleration/velocity overlays. Adaptive Strategy Building: Integrate this tool as a sentiment engine for algorithmic trading strategies. 🔬 Recommended Settings by Asset Class Asset Type Levy Sentiment Factor Crypto 0.6–1.2 2.0–2.5 Gold 0.4–1.0 2.0–2.2 Stocks 0.9–1.2 2.2–2.5 Forex 2.5–3.2 1.8–2.3 *A sentiment Factor of 9.5 can tell the larger trend apart on Daily and up.* 🧩 Technical Notes Uses Jurik MA (Power 2, Phase 50) for minimal lag smoothing. Employs Chebyshev filters (pre-Stochastic) for advanced sentiment smoothing. Weighted RSI is normalized from -100 to 100, with color-coded velocity and acceleration histograms.
Indicador Pine Script®
por GabrielAmadeusLau
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr) Discover which instrument moves first with advanced cross-correlation analysis. This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships. Key Features: Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities) Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe Real-time correlation table - Shows current correlation values for all lag scenarios Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads Smart "Best" indicator - Automatically identifies the strongest relationship How to Use: Set your symbols in the indicator settings (default: NQ1! vs RTY1!) Adjust correlation length (default: 20 periods for smooth but responsive analysis) Watch the colored lines: • Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods • Blue: Instruments move simultaneously • Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods Check the table for exact correlation values and the "Best" relationship Interpreting Results: Correlation > 0.7: Strong positive relationship Correlation 0.3-0.7: Moderate relationship Correlation < 0.3: Weak/no relationship Highest line indicates the optimal timing relationship Popular Use Cases: Index Futures : NQ vs ES, RTY vs IWM Sector Rotation : XLF vs XLK, QQQ vs SPY Commodities : GC vs SI, CL vs NG Currency Pairs : EURUSD vs GBPUSD Crypto : BTC vs ETH correlation analysis Technical Notes: Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior. Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Indicador Pine Script®
por public_username_twice
Indicator TesterIndicator Tester Designed to evaluate and backtest a composite trading signal based on multiple technical indicators across volatility, volume, momentum, and moving average categories. It is suitable for assets like Bitcoin, on all timeframes. Key Features: Indicator Selection: Allows users to enable/disable indicators such as CCI, Bollinger Bands, RVI, MFI, VZO, EFI, KVO, VPT, COPP, RSI, StochRSI, MOM, TRIX, SMI, MA Cross, RTI, and Simple MA, with customizable parameters. Customizable Inputs: Individual indicator settings (e.g., lengths, thresholds). Flip threshold to adjust the signal activation point. Backtest settings including custom start date, signal type (Long & Short, Long Only, Short Only), and fees. Table positions for performance and settings display. Visualization: Plots an equity curve (orange for positive signals, white otherwise) and a buy-and-hold equity curve (blue). Displays a performance table comparing indicator equity, drawdown, standard deviation, Sharpe, Sortino, and Omega ratios with buy-and-hold metrics. A settings table shows backtest start date, fees, number of indicators used, and flip threshold. Usage: Enables traders to test and optimize a strategy by combining selected indicators, with performance metrics calculated from the equity curve. The equity curve and backtest tables help compare the strategy against a buy-and-hold approach. Ideal for overlay on a 1-day chart to analyze historical performance, as depicted in the Bitcoin/USD chart.
Indicador Pine Script®
por QuantPablo