Inizia

Relative Strength Index (RSI)

Relative Strength Index with buy sell strategy📈 RSI Scalping Strategy (95% Winning Trades) 1️⃣ The Principle In scalping, timing is everything. We use one powerful indicator: RSI on the 1-minute chart (M1) ⏱️ 2️⃣ RSI Zones Setup 🔼 Overbought (Sell) Base line → 70 Add extra levels → 75 – 80 – 85 🔽 Oversold (Buy) Base line → 30 Add extra levels → 25 – 20 – 15 👉 These levels act as progressive entry signals using the DCA (Dollar Cost Averaging) method. 3️⃣ Concrete Example (on XAUUSD / Gold 🌟) Price hits RSI 25 → Enter with 0.1 lot RSI drops to 20 → Add 0.2 lot RSI falls to 15 → Add 0.5 lot ⚡️ Why does this work? Because at these extremes, the market is overheated and almost always makes a quick correction. 4️⃣ Exiting the Trade (Take Profit) 🎯 Target: Close between RSI 40 – 45 ❌ Never wait beyond RSI 50 ✅ Summary: Only enter at RSI extreme zones 🔫 Use progressive entries (DCA) ✔️ Exit when RSI reverts to the middle zone 💰
Indicatore Pine Script®
di mehdizala
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price. Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability. Plus ADX-on-RSI to grade strength so you know when momentum persists or fades. 1. Introduction RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions. To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside. 2. Core Mapping (Hook + Bullets) At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator. Source: RSI(14) Tenkan → EMA9(RSI) (fast, responsive) Kijun → WMA45(RSI) (slow, stable) Span A: classic Ichimoku midline, displaced +26 Span B: classic Ichimoku baseline, displaced +26 Lagging line: RSI shifted −26 3. Key Benefits (Why traders care) Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance. Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips. Earlier warnings: Cloud breaks on RSI often lead price-based confirmations. 4. ADX on RSI (Enhanced Strength Normalization) Grade strength inside the RSI domain using ADX from ΔRSI: ADX ≤ 20 → Weak (transparency = 60) ADX ≤ 40 → Strong (transparency = 15) ADX > 40 → Very strong (transparency = 0) Use these tiers to decide when to trust, fade, or ignore a signal. 5. How to Read (Quick rules) Bias / Regime Bullish: RSI above Cloud and RSI > WMA45 Bearish: RSI below Cloud and RSI < WMA45 Neutral / Transition: all other cases 6. Settings (Copy & use) RSI Length: 14 (default) Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI Displacement: +26 (Span A/B) · −26 (Lagging) Theme: PriceBlance Dark/Light Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring) 7. Credits & License Author/Brand: PriceBlance Version: v1.0 (Free) Watermark: PriceBlance • RSI Cloud v1.0 Disclaimer: Educational content; not financial advice. 8. CTA If this helps, please ⭐ Star and Follow for updates & new tools. Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
Indicatore Pine Script®
di priceblancetrading
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style 📈 Overview This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?" Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark. ✨ Key Features Three Calculation Modes: Quarterly: 3-month relative performance for swing trading Yearly: Weighted 4-quarter performance for position trading TechRank: Composite of 6 technical indicators for multi-factor analysis Clean Visual Design: Green fills above 80 (strong outperformance) Red fills below 20 (significant underperformance) Dotted median line at 50 for quick reference Current value label for instant reading Flexible Benchmarks: Compare against major indices (SPY, QQQ, IWM) Sector ETFs for within-sector analysis Custom symbols for specialized comparisons Built-in Alerts: Strong performance zone entry (>80) Weak performance zone entry (<20) Median crossovers (50 level) 📊 How To Use Buy Signals: RP crosses above 80: Stock entering leadership status RP holding above 60: Maintaining relative strength RP rising while price consolidating: Accumulation phase Sell/Avoid Signals: RP drops below 50: Losing relative strength RP below 20: Significant underperformance RP falling while price rising: Bearish divergence Sector Rotation: Compare multiple assets to find strongest sectors Rotate into high RP assets (>70) Exit low RP positions (<30) 🎯 Reading The Values 80-100: Exceptional outperformance - Strong buy/hold 60-80: Moderate outperformance - Hold positions 40-60: Market perform - No edge 20-40: Underperformance - Caution/reduce 0-20: Severe underperformance - Avoid/exit ⚙️ Calculation Method Calculates percentage performance of both your stock and the benchmark Finds the performance differential Ranks this differential against historical values using percentile analysis Normalizes to 0-100 scale for easy interpretation This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets. 💡 Pro Tips For Growth Stocks: Use quarterly mode with QQQ as benchmark For Value Stocks: Use yearly mode with SPY as benchmark For Small Caps: Compare against IWM, not SPY For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.) Combine with Price Action: High RP + price breakout = powerful signal ⚠️ Important Notes RP is relative, not absolute - stocks can fall with high RP if the market falls harder Choose appropriate benchmarks for meaningful comparisons Best used in conjunction with price action and volume analysis Historical lookback period affects sensitivity (adjustable in settings) 🔧 Customization Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe. 📌 Credit Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization. Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator Category: Momentum Indicators / Trend Analysis Feel free to modify this description to match your style or add any specific points you want to emphasize!
Indicatore Pine Script®
di nippe678
SRFRZ EMA Crossover with RSI StrategySRFRZ EMA Crossover with RSI Strategy 1. Overview Strategy Name: SRFRZ EMA Crossover with RSI Strategy Summary: A trend-following strategy designed for Indian stock and index markets, operating on any timeframe (optimized for 1H or 4H charts). It combines a 9-period and 21-period EMA crossover with RSI confirmation to identify high-probability long entries during the Indian trading session (9:15 AM–3:25 PM IST). Backtested with a fixed 20% capital allocation per trade, 3% stop loss, and 50% take profit, it aims for consistent returns in trending markets. Intended Audience: Intermediate traders familiar with EMA and RSI, seeking automated signals for Indian markets. 2. How It Works (Core Logic) Entry Conditions (Long/Buy Signal): Primary Trigger: A "Golden Cross" occurs when the 9-period EMA crosses above the 21-period EMA, signaling bullish momentum. RSI Confirmation: RSI (14-period) must be above 55, or cross above 55, to confirm strong momentum. Trend Filter: The 9-period EMA must remain above the 21-period EMA for delayed RSI-triggered entries. Session Filter: Trades are only executed during the Indian market session (9:15 AM–3:25 PM IST, Monday–Friday). Exit Conditions: Take Profit (TP): Fixed at 50% above the entry price (e.g., entry at ₹100, TP at ₹150). Stop Loss (SL): Fixed at 3% below the entry price (e.g., entry at ₹100, SL at ₹97). Indicator-Based Exit: Close the position if a "Death Cross" occurs (21-period EMA crosses above 9-period EMA). Position Sizing: Allocates 20% of initial capital (₹100,000 default) per trade, calculated as (initial_capital * 0.20) / entry_price. 3. Key Indicators & Parameters Primary Indicators: EMA (9-period): Fast-moving average to capture short-term trends (plotted in blue). EMA (21-period): Slower-moving average for trend confirmation (plotted in red). RSI (14-period): Measures momentum, with a threshold of 55 for bullish confirmation (plotted in purple). Customizable Settings in Pine Script: initial_capital: Default ₹100,000 (adjust based on your account size). qty_percent: Default 20% of capital per trade (adjust for risk tolerance). sl_percent: Default 3% stop loss (adjust for volatility). tp_percent: Default 50% take profit (adjust for reward targets). session_time: Default "0915-1525:1234567" (Indian session, adjustable for other markets). Default Values: Optimized for Indian stocks/indices (e.g., NIFTY 50) on 1H or 4H charts. Risk Management: Always use the built-in 3% stop loss. Avoid trading during major news events (e.g., RBI announcements), as Pine Script cannot filter these. Risk only 20% of capital per trade to diversify exposure. Pro Tips: Combine with support/resistance levels for manual confirmation. Test on a demo account to validate performance on your chosen asset. Monitor RSI for overbought conditions (>70) to anticipate reversals. 4. Visuals on Chart Plotted Indicators: Blue line: 9-period EMA. Red line: 21-period EMA. Purple line: RSI (14-period) in a separate pane. Trade Signals: Green triangle (below bar): Long entry. Red triangle (above bar): Long exit (via TP, SL, or Death Cross). 5. Disclaimer & Notes Risk Warning: Past performance is not indicative of future results. Trading involves significant risk. This strategy is for educational purposes only and is not financial advice. Customization: The script is open-source (modify freely). Fork it to add short-selling logic or additional filters. Note: The strategy avoids trades during non-session hours but cannot filter news events. Manually check economic calendars. Add the script to your chart and adjust inputs (e.g., capital, TP/SL percentages). Enable alerts for "Long Entry" and "Long Exit TP/SL" or "EMA Exit" to automate signals. Optionally, connect to a broker via webhooks for auto-trading (consult your broker’s API).
Strategia Pine Script®
di SARRUPAWASKAR
Tomazz.nq – RSI Dynamic DisplayThis script displays the RSI value directly on your chart for quick and efficient market monitoring. Fully customizable settings : RSI length, overbought/oversold levels, and colors. Clear color logic : red when RSI is above the overbought threshold, red when below the oversold threshold, green otherwise. Compact display in the top-right corner keeps your chart clean and focused. ➡️ Perfect for intraday and swing traders who want an at-a-glance RSI reading without opening a separate indicator window.
Indicatore Pine Script®
di Tomazz_
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization Summary BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips. Motivation: Why this design? Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked. What’s different vs. standard approaches? Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers. Architecture differences: Four fixed RSI lengths with strict ordering and a spacing tolerance. Optional requirement that all RSI values stay above or below the midline for bull or bear regimes. Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate. Dispersion measurement across the four RSIs with a percent-rank diagnostic. Gradient coloring of candles and wicks driven by stack magnitude. A last-bar statistics table with counts, wins, win rate, dispersion, and priors. Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon. How it works (technical) The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline. For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small. Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane. Parameter Guide Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior. Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback. Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries. Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution. Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly. Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples. Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on. Show consensus RSI — Weighted combination of the four RSIs. Default: on. Show OB/OS zones — Draw overbought, oversold, and midline. Default: on. Background regime — Pane background tint during bull or bear stacks. Default: on. Overlay regime markers — Entry markers on price when a stack forms. Default: on. Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on. Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals. Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost. Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more. Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones. Gradient and wick transparency — Visual opacity controls. Defaults: zero. Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs. Fallback neutral candles — Directional coloring when gradients are off. Default: off. Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three. Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty. Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small. Reading & Interpretation RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment. Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference. Zones: Overbought, oversold, and midline provide context rather than standalone triggers. Background tint: Indicates active bull or bear stack. Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms. Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment. Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering. Practical Workflows & Combinations Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes. Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal. Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data. Behavior, Constraints & Performance Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future. HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design. Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead. Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period. Sensible Defaults & Quick Tuning Start with the shipped defaults. Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period. Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates. Sparse samples: Extend the rolling window or increase priors to stabilize P(win). Visual overload: Disable gradient squares or wick coloring, or raise transparency. What this indicator is—and isn’t This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process. Metadata - Pine version: v6 - Overlay: false (price overlays are drawn via forced overlay where applicable) - Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table - Inputs with defaults: See Parameter Guide - Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts - Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping - Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls - Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context - Compatibility: Works across assets and timeframes that support RSI - Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy - Diagnostics: Statistics table, dispersion percent rank, gradient intensity Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Indicatore Pine Script®
di chervolino
ROGUE RSI PROThe ROGUE RSI PRO is a custom RSI with a floating 50 line that takes the classic Relative Strength Index and adds a dynamic midpoint that adapts to current market conditions. Instead of relying on the static 50-level, this indicator calculates a moving average of RSI to serve as a “floating 50 line,” helping traders better identify momentum bias and trend shifts. Key Features: -Dynamic Midpoint: The floating 50 line moves with RSI, providing a more adaptive measure of bullish/bearish control. -Color-Coded RSI: The RSI line automatically changes color — green when bulls are in control, red when bears are in control, gray when neutral. -Adaptive Bands (optional): Standard deviation bands around the floating line show when RSI is stretched relative to its own recent history. -Classic Zones: Overbought (70) and oversold (30) levels remain for reference. -Trend Context: Helps highlight when momentum is sustainably above or below its “normal” zone, filtering out false midline crosses. How to Use: -Watch the RSI line color — green = bullish momentum, red = bearish momentum. -Use the floating 50 line as a dynamic pivot: RSI above it confirms strength, RSI below it confirms weakness. -Look for band touches or extreme deviations as potential reversal or continuation signals. *Combine with price action, volume, or higher timeframe bias for stronger setups.*
Indicatore Pine Script®
di RogueLLC33
Anchored Volume-Weighted RSI & Multi-Normalized MACDAnchored Volume-Weighted RSI & Multi-Normalized MACD Author: NEPOLIX Overview The "Anchored Volume-Weighted RSI & Multi-Normalized MACD" is a sophisticated Pine Script v6 indicator designed for TradingView. It combines an Anchored Volume-Weighted Relative Strength Index (VW-RSI) with a Multi-Normalized Moving Average Convergence Divergence (MACD) to provide traders with enhanced market analysis tools. This indicator allows for customizable anchoring, multiple normalization techniques, and stepped visualization for precise trend and momentum analysis. Features Anchored VW-RSI: Calculates a volume-weighted RSI anchored to a user-defined or auto-detected time point, offering a unique perspective on momentum with volume influence. Multi-Normalized MACD: Supports various normalization methods, including Volume-Weighted, Min-Max, Volatility, Hyperbolic Tangent, Arctangent, and Min-Max with Smoothing, ensuring adaptability to different market conditions. Flexible Anchoring: Choose from auto-detected anchor modes (1-day, 5-day, 30-day) or manual anchor time selection for tailored analysis starting from a specific point. Stepped Visualization: Optional stepped mode for RSI and MACD values, reducing noise and highlighting significant changes based on user-defined thresholds. Smoothing Options: Supports multiple moving average types (SMA, EMA, SMMA, WMA, VWMA) for RSI smoothing, with optional Bollinger Bands for volatility analysis. Derivative Analysis: Plots derivatives for RSI and MACD to identify rate-of-change trends, with adjustable scaling and filtering. Customizable Display: Options to toggle MACD line, signal line, histogram, and cross-point dots, with dynamic color changes based on market conditions. Multi-Timeframe Support: Fetch data from higher timeframes for broader market context. User-Friendly Inputs: Comprehensive input settings for general parameters, anchor settings, RSI, MACD, derivatives, and display options, organized into clear groups. How It Works VW-RSI: Computes a volume-weighted RSI by anchoring calculations to a specified time, using volume-weighted gains and losses for a more robust momentum indicator. MACD Normalizations: Applies user-selected normalization techniques to the MACD, scaling it within defined bounds (-50 to 50 by default) for consistent comparison across instruments. Anchoring Mechanism: Aligns calculations to a user-defined or auto-calculated anchor point (e.g., market open time adjusted for America/New_York timezone). Stepped Mode: Discretizes RSI and MACD values into sections for clearer trend identification, with customizable section width and zero range. Visualization: Plots RSI, MACD, signal lines, and histograms, with optional Bollinger Bands, derivatives, and stepped lines. Dynamic coloring highlights crossovers and histogram trends. Use Cases Trend Analysis: Use the anchored VW-RSI and normalized MACD to identify momentum shifts and trend strength. Reversal Detection: Monitor overbought/oversold levels and MACD crossovers for potential reversal points. Volatility Assessment: Leverage Bollinger Bands and volatility-normalized MACD for insights into market volatility. Custom Strategies: Export variables (RSI, MACD, signal, etc.) for use in companion scripts or automated trading strategies. Settings General: Adjust section width, zero range, timeframe, and enable stepped mode. Anchor Settings: Select auto or manual anchor modes, with options for 1-day, 5-day, or 30-day auto-anchoring, or manual bar selection. RSI: Configure price source, length, smoothing type, Bollinger Bands multiplier, and derivative settings. MACD: Set price source, fast/slow/signal lengths, normalization types, and derivative parameters. Derivatives: Customize scale factors and filters for RSI and MACD derivatives. Display Options: Toggle visibility of MACD, signal line, histogram, and crossover dots, with options for color changes. Notes Ensure the anchor time is valid when using manual mode by selecting a bar on the chart. Normalization options should be chosen based on the instrument and market conditions for optimal results. Stepped mode is ideal for reducing noise in volatile markets but requires careful threshold tuning. The indicator is computationally intensive due to multiple normalizations; test on smaller datasets if performance issues arise.
Indicatore Pine Script®
di nepolix
2
Momentum Volume Analyzer [CHE] Momentum Volume Analyzer — Adaptive momentum with volume-gated signals and expressive visual cues Summary This indicator combines a normalized momentum oscillator with a volume Z-score gate and adaptive gradient visuals. The oscillator centers around a midline and scales between a lower and an upper bound. Intensity is derived from the distance to the midline and is normalized inside a rolling window, which helps keep contrast consistent across regimes. Volume pressure is compressed to a discrete level between one and ten and is used to qualify momentum flips and extremes. Layered “burst” markers and optional background gradients provide immediate visual emphasis without adding new data sources. Pine version is v6. The script runs in a separate pane. Motivation: Why this design? Common oscillators flip rapidly during noisy conditions or flatten during calm periods, which obscures actionable shifts. A rolling normalization keeps the visual intensity stable across different regimes, and a volume gate reduces reactions when participation is weak. The goal is clearer momentum shifts that are supported by measurable activity rather than cosmetic smoothing alone. What’s different vs. standard approaches? Baseline reference: Classical RSI-style oscillators or simple filtered momentum without volume gating. Architecture differences: Local window normalization with gamma control for contrast. Volume converted to a Z-score and compressed into a discrete level between one and ten with a configurable cap. Directional color gradients that intensify with distance from the midline. Layered glow markers with optional trail and an internal label budget to avoid UI overload. Practical effect: Signals are visually stronger only when both momentum and volume align; background and line colors convey regime strength at a glance. How it works (technical) Momentum core: A high-pass path with automatic gain control produces a bounded oscillator centered around a midline. A simple moving average smooths the result over a short window. Normalization and contrast: The absolute distance from the midline is scaled inside a rolling window and limited between zero and one. Two gamma parameters separately shape contrast for the line and for labels. Coloring: When the oscillator is above the midline, a green gradient is used; below the midline, a red gradient is used. Intensity increases with normalized distance. Optional area fill to the midline and a background gradient reinforce strength. Volume levels: Volume is standardized over a lookback window, clipped by a user cap, and mapped to a level between one and ten. Only positive excursions are considered; non-positive values map to zero. Event markers: When the oscillator reaches extreme zones and the volume level is positive, the script spawns layered circular labels at fixed y-positions. A small trail can extend behind the event. An internal queue discards the oldest labels when a user-defined maximum is exceeded. Alerts: Alerts fire on overbought and oversold spikes, midline shifts with minimum intensity and volume, and continuation patterns inside strong zones. Parameter Guide TFRSI length (default six): Core momentum lookback. Shorter values react faster but are less stable. Signal SMA (default two): Light smoothing of the oscillator. Larger values reduce jitter. Gradient window (default one hundred): Normalization window for intensity. Longer values produce steadier contrast but slower adaptation. Line/marker transparency (default zero): Visual prominence of drawings. Higher values reduce dominance. Background on and BG transparency (defaults true and eighty-five): Enables and tunes the pane background gradient. Area fill to fifty and Fill transparency (defaults true and eighty): Fills between the oscillator and the midline. Gamma bars/labels and Gamma plot (defaults zero point seven and zero point eight): Contrast shapers for markers and line. Higher values compress low intensities. Bottom marker and Show last N (defaults true and three hundred thirty-three): Optional compact heat markers with a display cap. Up/Down colors: Dark and neon pairs for positive and negative regimes. Lookback (default two hundred) and Z cap (default five): Volume standardization window and clipping level before scaling to one through ten. Enable bursts, Layers, Trail, Trail transparency, Max live labels, Size scale: Control the layered glow effect, trail length, opacity, label budget, and size multiplier. Reducing the size scale lowers visual dominance. Spike min level, Shift min level, Min intensity, Rise/Fall length: Gates for alerts; adjust to balance sensitivity and false positives. Reading & Interpretation Line color and intensity: Green shades above the midline indicate bullish pressure; red shades below indicate bearish pressure. Stronger color corresponds to stronger normalized distance. Background and fill: Reinforce regime strength; consider reducing transparency when the pane feels too busy. Bursts and trails: Emphasize volume-backed extremes. Larger bursts reflect stronger volume levels or scaling choices. Volume level: Internal level between one and ten. Levels near the upper bound signal exceptional activity. Practical Workflows & Combinations Trend following: Use midline cross upward with minimum shift level and intensity as a trigger. Confirm with structure such as higher highs and higher lows. For shorts, reverse the conditions. Exits and risk: Fade exposure when intensity weakens toward the midline or when volume level drops below the shift threshold. Consider disabling bursts when monitoring many symbols. Multi-asset and multi-timeframe: Defaults are designed to travel across liquid futures, large-cap equities, and major crypto pairs. For higher timeframes, increase the lookback window and consider reducing the Z cap. Behavior, Constraints & Performance Repaint and confirmation: Signals are evaluated on the live bar. They can appear and withdraw before bar close. For confirmed signals, require closed-bar alerts or manual confirmation. Higher-timeframe sources: Not used. No `security` calls. Resources: `max_bars_back` is two thousand. The script uses arrays and label objects, including loops for trails. The label budget mitigates clutter. Known limits: Very illiquid symbols with unstable volume can reduce the usefulness of the Z-score. Sharp regime changes can still produce brief flips. Sensible Defaults & Quick Tuning Starting point: TFRSI length six, Signal two, Gradient window one hundred, Z cap five, Spike level six, Shift level four, Min intensity zero point four, Rise length three, Size scale zero point five. Too many flips: Increase Signal, increase Gradient window, or raise Shift level. Too sluggish: Decrease TFRSI length or reduce Gradient window. Bursts too dominant: Lower Size scale or reduce Layers; increase Trail transparency or set Trail length to zero. What this indicator is—and isn’t This is a visualization and signal layer that couples momentum with a volume gate and adaptive visuals. It is not a complete trading system, optimizer, or predictor. Use it together with market structure, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
3
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator? This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility. While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator. Key components: Price (Close) Utilizes the closing price, consistent with the original RSI formula. normalization factor Transforms raw calculations into a fixed range between -1 and +1. normalization_factor = 1 / (Length - 1) EMA of Price Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula. myEMA = ta.rma(close,Length) EMA of close-to-close absolute changes (unit of volatility) Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets. CC_vol = ta.rma(math.abs(close - close ),Length) Calculation Breakdown DISTANCE: Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below. distance = close - myEMA STANDARDIZED DISTANCE Divide the distance by the unit of volatility to standardize the measurement across different markets. S_distance = distance / CC_vol NORMALIZED DISTANCE Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period. N_distance = S_distance * normalization_factor RSI Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100. myRSI = 50 * (1 + N_distance) The final equation: RSI = 50 × What This Means for RSI Same RSI Values, Different Interpretation The standard RSI formula may obscure its true measurement, whereas this approach offers clarity. RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum. RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Indicatore Pine Script®
di AdaptiveRSI
BTC Momentum Strategy - RSI & Stoch RSI Entry and EMA ExitBTC Momentum Strategy: RSI & Stoch RSI Entry with EMA Exit This strategy is designed to identify potentially strong entry points for Bitcoin (BTC) during periods of shifting momentum and then ride the trend until it shows signs of weakness. It's a straightforward, long-only strategy, meaning it only looks for opportunities to buy and then sell for a profit. How It Works: The strategy combines a few classic indicators to make its decisions. Think of it as a two-step confirmation system for buying, with a simple rule for selling. 1. The Buy Signal (Green Triangle) To generate a buy signal, the strategy looks for two things to happen at the same time: RSI Confirmation: It first waits for the Relative Strength Index (RSI) to show signs of bullish momentum. Specifically, it's looking for the RSI line to cross above its own moving average, suggesting that strength is starting to build from a lower level. This helps catch moves as they begin to turn positive. Stochastic RSI Confirmation: As an extra layer of confirmation, it also checks the Stochastic RSI. This helps filter out weaker signals and confirm that momentum is truly shifting upwards from an oversold or "bottomed-out" condition. When both of these conditions are met, a green "buy" triangle will appear below the candle, and the strategy will enter a long position. 2. The Sell Signal (Red Triangle) The exit rule is simple and designed to let your winners run while protecting you when the trend reverses. * EMA-Based Exit: The strategy plots an orange line on your chart, which is an Exponential Moving Average (EMA). The strategy will hold the position as long as the price stays above this line. If a candle closes *below* the orange EMA line, it's taken as a sign that the short-term trend is weakening, and the strategy will close the position to lock in profits or cut losses. A red "sell" triangle will appear above that candle. Best Use: This strategy was built with Bitcoin in mind and tends to perform best on higher timeframes like the Weekly charts. It aims to capture major swings rather than small, quick scalps. You can adjust all the settings for the RSI, Stochastic RSI, and the Exit EMA to fine-tune the strategy to your own trading style.
Strategia Pine Script®
di dasacortado
Volume-Weighted RSI & Multi-Normalized MACD Overlay**Description**: The "Volume-Weighted RSI & Multi-Normalized MACD Overlay" is a sophisticated indicator that plots a volume-weighted Relative Strength Index (VW-RSI) and a customizable Moving Average Convergence Divergence (MACD) directly on the price chart, enhancing momentum and trend analysis for traders. Designed for stocks, forex, crypto, and more, it supports multi-timeframe (MTF) analysis and offers flexible normalization and scaling options for precise visualization. **Key Features**: - **Volume-Weighted RSI**: A volume-sensitive RSI normalized to a configurable range (default: -50/+50), with optional smoothing (SMA, EMA, WMA, VWMA, SMMA, or Bollinger Bands). Overbought (+20) and oversold (-20) lines are plotted relative to a user-defined price source (default: ohlc4). - **Multi-Normalized MACD**: Supports five bounded normalization methods: Min-Max, Volatility Min-Max, Hyperbolic Tangent, Arctangent, and Min-Max with Smoothing, scaled to the same range as RSI for unified analysis. - **Price Chart Overlay**: Plots RSI, RSI MA, MACD, MACD Signal, zero-line, overbought (+20), and oversold (-20) lines, anchored to a customizable price source (e.g., ohlc4, hl2). - **Flexible Scaling**: Choose between high/low range (default) or ATR-based scaling, with separate lookbacks for RSI and MACD (default: 128). Adjust offset and scale factor multipliers for fine-tuned visuals. - **Customizable Display**: Toggles for RSI (with MA), MACD (with Signal), zero-line, overbought/oversold lines, and RSI background coloring (>20/< -20). Dynamic MACD colors (cyan/magenta) and transparency options enhance clarity. **How to Use**: 1. Add to any chart (e.g., BTCUSD, SPY, 1H, 1D). 2. Configure settings: - **General**: Set bounds (-50/+50), timeframe, scaling (high/low or ATR), zero-line source (e.g., ohlc4), and multipliers. - **RSI**: Adjust price source, length (9), and smoothing options. - **MACD**: Select price source, lengths (9/21/9), and normalization (e.g., Volatility Min-Max). - **Display Options**: Toggle lines and background; adjust transparency. 3. Interpret signals: RSI > +20 (overbought), < -20 (oversold); MACD/Signal crosses for momentum; zero-line as reference. 4. Use with the companion "Volume-Weighted RSI & Multi-Normalized MACD" script for pane-based analysis if desired. **Why Use It?** Ideal for traders seeking a visually intuitive overlay of RSI and MACD on price action, with customizable scaling and MTF support. Perfect for trend-following, mean-reversion, and cross-market strategies. **Notes**: - Ensure a bounded normalization (e.g., Volatility Min-Max) is selected for MACD plotting. - Adjust scaling multipliers for optimal visibility on volatile assets. - Feedback welcome to enhance future versions! **Author**: nepolix
Indicatore Pine Script®
di nepolix
Multi-Timeframe mybullandbearThis Multi-Timeframe RSI + Ultimate MA System combines RSI and customizable moving averages (SMA, EMA, WMA, HullMA, VWMA, RMA, TEMA) to generate powerful buy/sell signals across 5m, 15m, 1h, and 4h timeframes. Visualize signals with clear chart labels (BUY/SELL) and a multi-timeframe table showing RSI status, MA trends, and signal strength. Ideal for traders seeking trend confirmation and reversal signals. Enable/disable RSI, MA cross, or combined signals, and adjust MA types/lengths. Use aligned signals across timeframes for stronger entries. Best with backtesting for your asset.
Indicatore Pine Script®
di mybullandbear
AI Trading Alerts v6 — SL/TP + Confidence + Panel (Fixed)Overview This Pine Script is designed to identify high-probability trading opportunities in Forex, commodities, and crypto markets. It combines EMA trend filters, RSI, and Stochastic RSI, with automatic stop-loss (SL) & take-profit (TP) suggestions, and provides a confidence panel to quickly assess the trade setup strength. It also includes TradingView alert conditions so you can set up notifications for Long/Short setups and EMA crosses. ⚙️ Features EMA Trend Filter Uses EMA 50, 100, 200 for trend confirmation. Bull trend = EMA50 > EMA100 > EMA200 Bear trend = EMA50 < EMA100 < EMA200 RSI Filter Bullish trades require RSI > 50 Bearish trades require RSI < 50 Stochastic RSI Filter Prevents entries during overbought/oversold extremes. Bullish entry only if %K and %D < 80 Bearish entry only if %K and %D > 20 EMA Proximity Check Price must be near EMA50 (within ATR × adjustable multiplier). Signals Continuation Signals: Long if all bullish conditions align. Short if all bearish conditions align. Cross Events: Long Cross when price crosses above EMA50 in bull trend. Short Cross when price crosses below EMA50 in bear trend. Automatic SL/TP Suggestions SL size adjusts depending on asset: Gold/Silver (XAU/XAG): 5 pts Bitcoin/Ethereum: 100 pts FX pairs (default): 20 pts TP = SL × Risk:Reward ratio (default 1:2). Confidence Score (0–4) Based on conditions met (trend, RSI, Stoch, EMA proximity). Labels: Strongest (4/4) Strong (3/4) Medium (2/4) Low (1/4) Visual Panel on Chart Shows ✅/❌ for each condition (trend, RSI, Stoch, EMA proximity, signal now). Confidence row with color-coded strength. Alerts Long Setup Short Setup Long Cross Short Cross 🖥️ How to Use 1. Add the Script Open TradingView → Pine Editor. Paste the full script. Click Add to chart. Save as "AI Trading Alerts v6 — SL/TP + Confidence + Panel". 2. Configure Inputs EMA Lengths: Default 50/100/200 (works well for swing trading). RSI Length: 14 (standard). Stochastic Length/K/D: Default 14/3/3. Risk:Reward Ratio: Default 2.0 (can change to 1.5, 3.0, etc.). EMA Proximity Threshold: Default 0.20 × ATR (adjust to be stricter/looser). 3. Read the Panel Top-right of chart, you’ll see ✅ or ❌ for: Trend → Are EMAs aligned? RSI → Above 50 (bull) or below 50 (bear)? Stoch OK → Not extreme? Near EMA50 → Close enough to EMA50? Above/Below OK → Price position vs. EMA50 matches trend? Signal Now → Entry triggered? Confidence row: 🟢 Green = Strongest 🟩 Light green = Strong 🟧 Orange = Medium 🟨 Yellow = Low ⬜ Gray = None 4. Alerts Setup Go to TradingView Alerts (⏰ icon). Choose the script under “Condition”. Select alert type: Long Setup Short Setup Long Cross Short Cross Set notification method (popup, sound, email, mobile). Click Create. Now TradingView will notify you automatically when signals appear. 5. Example Workflow Wait for Confidence = Strong/Strongest. Check if market session supports volatility (e.g., XAU in London/NY). Review SL/TP suggestions: Long → Entry: current price, SL: close - risk_pts, TP: close + risk_pts × RR. Short → Entry: current price, SL: close + risk_pts, TP: close - risk_pts × RR. Adjust based on your own price action analysis. 📊 Best Practices Use on H1 + D1 combo → align higher timeframe bias with intraday entries. Risk only 1–2% of account per trade (position sizing required). Filter with market sessions (Asia, Europe, US). Strongest signals work best with trending pairs (e.g., XAUUSD, USDJPY, BTCUSD).
Indicatore Pine Script®
di geraldfernandez2017
1