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Advanced Momentum Engine [identityKa]Advanced Momentum Engine Welcome to the Advanced Momentum Engine , a premium-grade oscillator designed to keep your main chart clean while delivering absolute precision in momentum analysis. Using a single indicator like MACD or RSI often leads to false signals. To solve this, identityKa has built a powerful Confluence Engine that merges the trend-following capabilities of the MACD with the momentum extremes of the RSI, presenting them in one highly visual, non-repainting oscillator panel. 🔥 Key Features: Smart Histogram Coloring: The histogram doesn't just show MACD values; its color intensity dynamically changes based on momentum strength. Bright neon green/red for strong trends, and darker shades for weakening momentum. Danger Zone Detection: This is where the engine shines. When the RSI enters extreme Overbought (≥70) or Oversold (≤30) territories, the engine overrides the standard colors and turns the histogram (and background) Orange. This acts as a crucial warning that the current trend is exhausted and a reversal or pullback is highly probable. Real-Time HUD Dashboard: Equipped with the signature identityKa on-chart panel (fully positionable), it displays the exact RSI state, MACD trend direction, and an instant AI Suggestion (LONG, SHORT, or Dangerous) to guide your trading decisions at a glance. Zero Main-Chart Clutter: By running entirely in the lower oscillator pane, it leaves your candlesticks completely free for pure Price Action analysis or pairing with main-chart systems like the Alpha SuperTrend Signal. 💡 How to Use It for Maximum Profit: Trend Confirmation: Wait for the MACD line to cross the Signal line. If the AI Suggestion says LONG and the histogram turns bright green, look for buy entries on your main chart. Avoid the Traps: If the dashboard warns "Dangerous" (Orange Zone), avoid taking new trend-continuation trades. Instead, prepare to take profits or look for reversal Price Action setups. ⚙️ Customization & Alerts: Everything from the MACD moving average lengths to RSI thresholds and theme colors (featuring the identityKa neon palette) is fully customizable. It also includes built-in, non-repainting alerts for precise MACD crossovers in safe zones, and warnings when entering Danger Zones. Elevate your chart quality. Trade with precision. Trade with identityKa.
Indicador Pine Script®
por IdentityKa
[TL5 MACD] MACD Pro => RSI + ALMA Adaptive Momentum MACD Pro – RSI + ALMA Adaptive Momentum 🔎 Overview TL5 MACD Pro is a structurally enhanced version of the classic MACD indicator that integrates trend filtering, momentum confirmation, and adaptive bias analysis — while preserving the original MACD calculation. The core MACD formula remains standard. No repainting logic is used. This version adds multi-layer confirmation using RSI, ALMA, and short-term structure alignment to help traders identify higher-quality momentum shifts. 🚀 What Makes This Different From Standard MACD? This indicator integrates: • RSI(14) 50-Level Bias Background bias shows bullish or bearish momentum environment. • WMA-Smoothed RSI Confirmation Reduces RSI noise and strengthens signal alignment. • ALMA(30) Adaptive Trend Filter Filters momentum using a responsive trend baseline. • SMA(8) Short-Term Momentum Alignment Detects micro-structure direction shifts. • Dynamic MACD & Signal Line Coloring Color changes reflect structural alignment strength. • Optional Histogram Visibility 🎨 Visual Features 1️⃣ Dual Background System (Intentional Design) Two independent background layers are available: Indicator pane background (RSI bias) Main price chart background (optional overlay) This allows traders to: Keep the oscillator clean Or visually bias the main chart using RSI structure The dual bgcolor() implementation is intentional and documented. 2️⃣ Zero Line Trend State The zero line can optionally change color based on ALMA slope: Blue → Uptrend bias Red → Downtrend bias Gray → Neutral (if disabled) This provides immediate trend context without clutter. ⚙️ Inputs MACD Settings Source Fast Length Slow Length Signal Length Oscillator MA Type (EMA / SMA) Signal MA Type (EMA / SMA) Display Settings Show Histogram Show SMA(8) Show ALMA(30) Color Zero Line by Trend RSI Bias Settings Show RSI Bias (Indicator Pane) Show RSI Bias (Main Chart Overlay) 📊 How To Use Trend Identification MACD above zero + ALMA rising → bullish environment MACD below zero + ALMA falling → bearish environment Momentum Confirmation MACD line color reflects structural alignment Strong alignment occurs when: SMA(8) slope agrees Price aligns with ALMA RSI momentum agrees Environment Filtering Use RSI background to quickly identify whether: Market momentum is bullish (> 50) Market momentum is bearish (< 50) 🧠 Best Use Cases Intraday trend continuation Momentum-based trading Pullback entries in trending markets Multi-timeframe bias confirmation Works across: Crypto Forex Indices Stocks Commodities ⚠️ Important Notes Core MACD math is unchanged. No repainting logic is used. This is an analytical tool, not a strategy. Always apply proper risk management.
Indicador Pine Script®
por AquaTickTrader
3
CryptoRSICryptoRSI – Presets This strategy is inspired by the work of Pavel Kýček (Robuxio). CryptoRSI is a rule-based approach built around RSI extremes with a simple market regime filter . This is a systematic framework. It does not guarantee results. Crypto markets are volatile and can produce long streaks of false signals. Core idea The strategy seeks to participate in strong upside phases after momentum becomes extreme. It does so by combining: An RSI-based entry rule A regime filter based on BTC vs its EMA A mechanical exit rule (WMA or RSI threshold, depending on preset) Presets Only one input is exposed: the Preset . Original – smoother and more selective. Fewer signals, typically higher quality. Agressif – faster RSI and higher thresholds. More signals, more noise. Entry rule RSI is computed on the traded symbol. In Original , RSI is smoothed (SMA smoothing) to reduce noise. A long entry triggers when RSI exceeds the Buy Threshold . Market filter (BTC regime) A market filter is enabled by default. The filter uses BITSTAMP:BTCUSD on the Daily timeframe. Trades are allowed only when BTC is above its EMA(50) . When the filter is not satisfied, the background turns red. Exit rule Exit depends on the preset: Original : exit when price crosses below a WMA(50) . Agressif : exit when RSI drops below the Sell Threshold . Chart elements RSI plot (smoothed or raw depending on preset) Horizontal lines showing Buy / Sell thresholds Background regime highlighting the market filter Important notes This strategy is long-only. Backtests assume frictionless execution (no fees, no slippage). Real-world results may differ significantly. The objective is to provide a consistent decision framework, not to predict tops or bottoms.
Estratégia Pine Script®
por Konscio
SPAZZ Daily/Weekly# SPAZZ Daily/Weekly (SFI) **A mean-reversion entry filter that combines RSI z-score zero-crossings with Bollinger Band touch-and-reclaim — triggering only when momentum normalization and price envelope reversion agree on the same bar.** --- ## What It Does SPAZZ SFI computes a z-score of RSI(14) by subtracting its 14-period SMA and dividing by its 14-period standard deviation, then gates entries on the z-score crossing zero coinciding with price crossing back inside a Bollinger Band (20-period, 1.76σ default). The dual-gate design filters out standalone BB touches that lack momentum confirmation and standalone RSI recoveries that haven't reached envelope extremes. Signals only fire when both conditions align on the same bar — a conjunction filter that materially reduces false positives relative to either component alone. --- ## Theoretical Foundations - **Bollinger Bands (Bollinger, 1983)** — Price envelope defined as SMA(20) ± kσ. The non-standard default multiplier of 1.76σ (vs. the typical 2.0σ) widens the signal zone, capturing reversion setups before price reaches full 2σ extension — a deliberate sensitivity tradeoff - **RSI z-score normalization** — Raw RSI is bounded and non-stationary across regimes. Z-scoring against its own rolling distribution converts it to a zero-centered, approximately unit-variance series where zero-crossings represent transitions from below-mean to above-mean momentum (and vice versa), independent of the prevailing RSI level - **Conjunction filtering** — Requiring two independent conditions to fire simultaneously on the same bar exploits the low joint probability of co-occurrence under noise. If each condition fires independently with probability *p*, the conjunction fires with probability ≈ *p²* under independence — geometrically reducing false signal rates --- ## Signals **Bullish (BUY):** - RSI z-score crosses above zero (momentum recovering from below-average) **AND** price crosses above the lower Bollinger Band (reclaiming the envelope from below) - Interpretation: price was extended to the downside and is now showing simultaneous mean-reversion in both price level and momentum — a high-probability long entry zone **Bearish (SELL):** - RSI z-score crosses below zero (momentum deteriorating from above-average) **AND** price crosses below the upper Bollinger Band (failing to hold the upper envelope) - Interpretation: price was extended to the upside and is now losing momentum while falling back inside the band — a high-probability short entry or exit zone **No Signal:** - Z-score crosses zero but price is mid-band → momentum shift without envelope extremity - Price touches a band but z-score doesn't cross zero → envelope touch without confirmed momentum reversal --- ## Overlay Fields | Plot | Description | |------|-------------| | **Up Triangle** | Green triangle below bar on BUY signal | | **Down Triangle** | Red triangle above bar on SELL signal | | **BUY Label** | Optional text label at low of signal bar | | **SELL Label** | Optional text label at high of signal bar | No Bollinger Band lines are plotted (overlay remains clean). The BB computation is internal to the signal logic only. --- ## Key Inputs | Input | Default | Guidance | |-------|---------|----------| | **BB Multiplier** | 1.76 | Controls band width. Lower values (1.5–1.7) increase signal frequency by catching shallower pullbacks. Higher values (2.0–2.5) require deeper extension before triggering — fewer but more extreme signals. The 1.76 default sits between standard (2.0) and aggressive (1.5). | | **Show Labels** | On | Toggle BUY/SELL text labels. Disable for cleaner charts when using alerts instead of visual scanning. | | **Timeframe** | D | Selector for Daily or Weekly. **Note:** This input is declared but not wired to `request.security()` in the current version — the indicator runs on the chart's native timeframe regardless of this setting. | --- ## Data Sources & request.security() Budget **Total request.security() usage: 0 of 40.** All computations use the chart's native timeframe and symbol. No external data calls. --- ## Alerts | Alert | Trigger | Frequency | |-------|---------|-----------| | **BUY** | RSI z-score crosses above 0 AND close crosses above lower BB | Once per bar close | | **SELL** | RSI z-score crosses below 0 AND close crosses below upper BB | Once per bar close | Both alerts use `alertcondition()` — static presets configured in TradingView's alert dialog. No dynamic `alert()` calls. --- ## Important Notes - **Anti-repainting:** All computations use `close`, `ta.crossover()`, and `ta.crossunder()` on confirmed bar data. No `request.security()` calls, no lookahead. Signals are fixed once the bar closes. - **Timeframe input is cosmetic:** The `input.timeframe()` selector is present in the UI but not connected to any MTF logic. The indicator always runs on the chart's native timeframe. To analyze Daily signals on a Weekly chart (or vice versa), change the chart timeframe directly. - **BB multiplier sensitivity:** At the default 1.76σ, bands are ~12% tighter than standard 2.0σ Bollinger Bands. This means signals fire more frequently but at less extreme price levels. If you observe excessive false signals, increase toward 2.0–2.2. - **RSI z-score warmup:** The z-score requires 2× RSI_LENGTH bars (28 bars) to stabilize — 14 for the RSI series itself and 14 for its rolling mean and standard deviation. Signals within the first ~30 bars of chart history are unreliable. - **Conjunction is strict:** Because both conditions must co-occur on the exact same bar, signal frequency is low. On daily BTC charts, expect roughly 2–6 signals per month depending on regime. This is by design — it is an entry filter, not a continuous scoring system.
Indicador Pine Script®
por whitekidspaz
Divergence Nexus [forexobroker]Divergence Nexus unifies divergence detection across four oscillators into a single indicator. Instead of checking RSI, MACD, Stochastic, and CCI on separate panels, this script scans all four simultaneously and rates signal strength through a confluence score — how many oscillators agree on the divergence. WHAT IT DOES The indicator monitors four oscillators for both regular divergences (potential reversals) and hidden divergences (trend continuation signals). When price makes a new swing high or low that disagrees with the oscillator's swing, a divergence is flagged. Lines are drawn directly on the price chart at the divergence points, and a label shows the type and confluence count. A compact dashboard displays which oscillators have recently detected divergences, their direction, and the overall confluence score. When 3 or 4 oscillators agree, the bar background highlights to draw attention to high-probability setups. HOW IT WORKS Four oscillators are calculated: RSI, MACD histogram, Stochastic %K, and CCI Pivot highs and lows are detected on both the price chart and each oscillator using the same lookback period When both a price pivot and an oscillator pivot confirm on the same bar, the pivot pair is stored Each oscillator's two most recent pivots are compared to detect divergences: Regular Bullish: price makes a lower low, oscillator makes a higher low (reversal up) Regular Bearish: price makes a higher high, oscillator makes a lower high (reversal down) Hidden Bullish: price makes a higher low, oscillator makes a lower low (uptrend continuation) Hidden Bearish: price makes a lower high, oscillator makes a higher high (downtrend continuation) Confluence is counted: how many oscillators detected the same direction on the same bar Lines, labels, and dashboard update with the results THE 4 OSCILLATORS Each oscillator captures a different aspect of momentum: RSI (Relative Strength Index) — Measures overbought/oversold conditions through price momentum. Default period: 14 MACD Histogram — Shows the distance between MACD line and signal line, capturing momentum acceleration. Default: 12/26/9 Stochastic %K — Compares closing price to the price range over a period, sensitive to price turns. Default period: 14 CCI (Commodity Channel Index) — Measures price deviation from its statistical mean, identifying cyclical turns. Default period: 20 CONFLUENCE SCORING The core differentiator. When a divergence is detected, the script counts how many oscillators found the same direction: 1/4 — Weak signal: only one oscillator diverging. Use with caution 2/4 — Moderate signal: two oscillators agree. Worth monitoring 3/4 — Strong signal: three oscillators confirm. High-probability setup 4/4 — Very strong signal: all four oscillators diverging together. Rare and powerful DIVERGENCE TYPES Regular divergences signal potential trend reversals: Regular Bullish (teal line, solid): Price lower low + oscillator higher low. Suggests the downtrend may reverse upward Regular Bearish (red line, solid): Price higher high + oscillator lower high. Suggests the uptrend may reverse downward Hidden divergences signal trend continuation: Hidden Bullish (blue line, dashed): Price higher low + oscillator lower low. Suggests the uptrend will continue Hidden Bearish (orange line, dashed): Price lower high + oscillator higher high. Suggests the downtrend will continue NEXUS DASHBOARD A compact panel showing: Per-oscillator status: which divergence types each oscillator has recently detected Direction columns: R.BULL, H.BULL, R.BEAR, H.BEAR with "+" for active or "--" for none Status per oscillator: BULL, BEAR, MIXED, or -- based on recent activity Confluence row: total bullish and bearish agreement counts out of 4 Signal: BULLISH or BEARISH when confluence meets the alert threshold FEATURES 4 oscillators scanned simultaneously (RSI, MACD histogram, Stochastic %K, CCI) 8 divergence types detected (regular + hidden for each direction) Confluence scoring from 1/4 to 4/4 Non-repainting: all divergences confirmed by pivot lookback on closed bars Divergence lines drawn on price chart (solid for regular, dashed for hidden) Labels showing divergence type and confluence count Bar background highlight on high-confluence signals Nexus Dashboard with per-oscillator breakdown Toggle individual oscillators on/off Toggle regular and hidden divergence detection independently 6 alert conditions (bullish, bearish, high-confluence bullish/bearish, any, any high-confluence) Data Window integration showing all oscillator values and confluence counts Configurable pivot lookback, min/max bar distance, drawing limits Theme-aware dashboard adapts to light and dark chart themes Works on any instrument and any timeframe Zero security calls — runs entirely on current chart data HOW TO READ THE SIGNALS Teal solid line below price = Regular bullish divergence (potential reversal up) Red solid line above price = Regular bearish divergence (potential reversal down) Blue dashed line below price = Hidden bullish divergence (uptrend continuation) Orange dashed line above price = Hidden bearish divergence (downtrend continuation) Diamond below bar = Bullish divergence detected this bar Diamond above bar = Bearish divergence detected this bar Tinted background = High-confluence signal (3/4 or 4/4 oscillators agree) Dashboard "+" = That oscillator has a recent divergence of that type USE CASES Reversal Trading — Wait for a 3/4 or 4/4 regular divergence at a key support/resistance level. The more oscillators that agree, the higher the probability of reversal Trend Continuation — Hidden divergences with 2/4+ confluence confirm pullbacks within established trends are buying/selling opportunities Exit Signals — When holding a long position and a 3/4+ bearish divergence appears, consider tightening stops or taking partial profits Confluence Filter — Use the divergence score as a filter for other trading systems. Only take entries when Divergence Nexus shows 2/4+ agreement Multi-Oscillator Analysis — Instead of adding RSI, MACD, Stochastic, and CCI as separate indicators, get all four divergence signals in one clean overlay Timeframe Selection — Use higher timeframes (4H, Daily) for strong directional divergences, lower timeframes (15m, 1H) for precise entry timing SETTINGS Oscillators: Adjust individual oscillator periods or disable specific oscillators. Default settings match standard industry values. Detection: Set pivot lookback depth (higher = fewer but stronger pivots), minimum and maximum bar distance between pivots, and toggle regular/hidden detection. Display: Toggle lines, labels, dashboard, and background highlighting. Position the dashboard anywhere on the chart. Control maximum number of drawings kept on chart. Colors: Customize colors for each divergence type (regular bullish/bearish, hidden bullish/bearish). Alerts: Set the minimum confluence level required for high-confluence alerts. TECHNICAL NOTES Zero security calls — works entirely on the current chart's data Non-repainting — all pivots use equal left/right bars with barstate.isconfirmed processing Divergences are confirmed only after the pivot lookback period has passed Maximum 200 lines and 100 labels (configurable cleanup threshold) 10 pivot detection calls (2 price + 2 per oscillator) computed efficiently at global scope Dashboard updates only on the last bar for performance Works on any instrument and any timeframe DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Divergence signals should be used as one component of a complete trading methodology that includes proper risk management. Past performance does not guarantee future results. Always use stop losses and trade within your risk tolerance.
Indicador Pine Script®
por forexobroker
Index Line on Chart With Top/Bottom Margins (MarketSurge)Adds an index line to the chart, along with configurable top/bottom margins. MarketSurge has the line in the top third/quarter of the chart area. This script is unfortunately quite slow/laggy when zooming/scrolling. Unfortunately that is unavoidable, because to scale the visible portion of the index line it needs to access `left_visible_bar_time` and `right_visible_bar_time`. There are two issues with that. First, if a script access those variables, then it is reloaded on every zoom/scroll. So every time the chart is zoomed/scrolled, this script is reloaded and has to recalculate and draw everything from scratch. Second, TradingView has a couple of seconds delay built in before it will initiate the reload, presumably to allow the zoom/scroll to settle, and to avoid reloading on every zoom/scroll intermediate step. But that makes this script even less responsive, of course. Tip: when using this indicator, you may also want to change the main chart's top margin to push the main plot down a bit (that setting does not affect the position of this indicator). See the "Margins" section in the Chart Setting's "Canvas" tab.
Indicador Pine Script®
por jwatt123
BK AK-Iron Dome📡🛡️ BK AK–Iron Dome (Zenith Edition) 🛡️📡 🙏 All glory to G-d Respect to AK — discipline, patience, and clean execution. what this indicator is Iron Dome is a reversal probability framework built around a single, interpretable oscillator called the Reversal Score (range -100 to +100). The goal is not to “predict” tops or bottoms. The goal is to identify when price is stretched, then confirm whether a turn is forming using multiple independent factors (momentum, volume behavior, VWAP location, divergences, and context filters). This script is designed for traders who want: a clear overextended / mean-reversion map confirmation-based reversal triggers (not just “overbought/oversold”) optional filters that reduce low-quality signals (time-of-day, higher timeframe alignment, rejection candles, volume confirmation) What the Reversal Score measures (core logic) The Reversal Score is a weighted composite that blends several components into one number: Momentum + oscillator pressure RSI and Money Flow Index (MFI) are used to measure directional pressure and exhaustion risk. A momentum component (rate-of-change/acceleration behavior) is used to detect loss of thrust into extremes. Anchored VWAP position Iron Dome includes a multi-anchor VWAP engine that can be anchored to: Session (daily reset) Weekly (Monday anchor) Monthly Quarterly (auto-roll style anchor) Custom date/time anchor Or disabled (fallback VWMA) The script then measures where price sits inside VWAP bands using a true deviation model (standard deviation of price minus VWAP), and converts that into a VWAP Position score (0–100). This prevents “band width illusions” that happen when volatility changes. Adaptive thresholds (optional) Default reversal zones are: Peak zone around +90 Valley zone around -90 When Adaptive Thresholds are enabled, the script adjusts thresholds depending on whether volatility is unusually high or low (ATR regime). This helps reduce the “always in a zone” problem in high volatility and the “never reaches a zone” problem in quiet markets. Confirmation layers (what makes this different) Iron Dome’s signals are not based on a single trigger. They are filtered through optional confirmation systems you can enable/disable depending on your style. A) Divergence engine (two independent systems) Iron Dome can detect divergence in two different ways: RSI divergence (price vs RSI or Momentum-RSI) Score-line divergence (price vs the Reversal Score itself) Both use pivot confirmation logic (left/right lookbacks). That means divergence markers appear only after the pivot is confirmed — this is intentional to reduce false early calls. Once printed, the divergence condition is based on confirmed pivots, not future bars. You can also require divergence for trade signals (Require Divergence for Buy/Sell Signals) if you want fewer but stricter triggers. B) Liquidity sweep detection (stop-hunt behavior) Optional sweep detection flags candles that: break a prior swing high/low by a meaningful wick (ATR-scaled) then close back through the level (reclaim) This is used as a context boost because sweep behavior often appears near reversals. C) Exhaustion volume pattern Optional exhaustion logic looks for: a volume spike relative to average, followed by volume decay, while price stalls (ATR-scaled) This attempts to detect “effort vs result” behavior: large activity but no follow-through. D) Delta proxy (candle-structure pressure) It’s a proxy derived from candle structure (how price closes relative to the candle range). It’s used as confirmation, not as a standalone signal. E) MTF score alignment You can compute a version of the score on a higher timeframe and require alignment before signals print. This is useful when you want reversals only in the direction of a bigger context (or only when HTF is also extreme). F) Time-of-day filter (explicit timezone) This module lets you avoid historically lower-quality windows (like lunch / transition periods) and optionally boost score weight during open/close drive windows. Time windows are interpreted in a user-selected timezone so there’s no ambiguity between exchange time and local time. “Zenith Killer Gate” (final signal filter) The Zenith Gate is an optional “final checkpoint” that can require: higher timeframe trend/RSI context, a rejection candle (wick/body ratio), volume confirmation (surge or climax), time filter pass, and a one-shot arming mechanism that prevents repeated triggers until the score cools down. If you want fewer, more selective signals, enable the Zenith Gate and use it as the final decision layer. How signals are generated (simple and explicit) A signal is not “Score touched a zone.” A signal is “Score entered a zone and then turned.” Zenith Sell: score was in peak zone, then momentum/score behavior indicates a turn down, and the selected confirmation gates pass. Zenith Buy: score was in valley zone, then momentum/score behavior indicates a turn up, and the selected confirmation gates pass. This reduces the common trap of selling “overbought” too early or buying “oversold” too early. Risk tools: targets and stops (optional) Iron Dome can project: an ATR-based stop distance and multiple R:R targets (T1/T2/T3) These are planning guides, not guarantees. Targets auto-clean after a configurable number of bars to keep the chart clean. Alerts Alerts are included for: Zenith Buy / Zenith Sell extreme zone warnings RSI divergence and Score divergence liquidity sweeps exhaustion patterns high confluence states For best consistency, use alerts on bar close and avoid firing multiple intrabar alerts unless your execution requires it. Suggested usage (practical workflow) Pick your anchor style Intraday: Session anchor + RTH/ETH filter if you trade sessions Swing: Weekly/Monthly anchor + MTF alignment Use zones as “risk areas,” not entries Peak/Valley zones mean “reversal risk rising,” not “enter now.” Let confirmation decide Divergence + sweep/exhaustion + rejection candle is the classic “stack.” If you want strictness: enable Zenith Gate + require MTF alignment. Execute with structure Use your own market structure (levels, pivots, trendlines) for execution and stops. Iron Dome is the timing + confirmation layer, not a full trade plan by itself. Limitations (important) The delta component is a proxy, not true order-flow delta. Divergences based on pivots confirm after a right-lookback delay (expected behavior). The “quarterly auto-roll” anchor is an approximation intended for practical anchoring; it is not a full contract roll engine. Suitable markets and timeframes Works best on liquid markets where volume and volatility behavior are meaningful (futures, major forex pairs, large-cap equities, crypto majors). Common use cases: Intraday reversal filtering (5–30m) Swing reversal context (1H–1D with MTF alignment) Disclaimer This tool is for charting/analysis only and does not constitute financial advice. Always use independent risk management and confirm with price action and market context. 📡🛡️ BK AK–Iron Dome (Zenith Edition) 🛡️📡
Indicador Pine Script®
por Ki11a_B
RSI Divergence (Regular + Hidden + Live) - StableLogicTake your momentum trading to the next level with the RSI Divergence (Regular + Hidden + Live) indicator . This tool doesn't just look at the past; it actively tracks developing price action to spot potential reversals and trend continuations before they fully form. Packed with a clean, gradient-based UI, this indicator automatically scans for four specific types of divergences and visually plots them directly on your oscillator panel. 🌟 Key Features Complete Divergence Detection: Automatically identifies and plots all four major types of divergence: Regular Bullish: Price makes a Lower Low, but RSI makes a Higher Low (Trend Reversal). Regular Bearish: Price makes a Higher High, but RSI makes a Lower High (Trend Reversal). Hidden Bullish: Price makes a Higher Low, but RSI makes a Lower Low (Trend Continuation). Hidden Bearish: Price makes a Lower High, but RSI makes a Higher High (Trend Continuation). Live "Pending" Divergences: Unlike traditional indicators that only plot after a pivot is fully confirmed (which inherently causes lag), this script features a Live Tracking engine. It compares the current real-time candle to the last confirmed pivot, drawing a dashed line to warn you of a developing divergence. Smart Invalidation Logic: The live tracking feature includes a mathematical crossover check. If the RSI line breaks the divergence trendline prematurely, the pending signal is automatically invalidated, keeping your chart free of false signals. Modern Visuals: Features sleek gradient fills for the Overbought (>70) and Oversold (<30) zones, making momentum extremes easy to spot at a glance. ⚙️ Settings & Customization RSI Length: Standard RSI lookback period (Default: 14). Pivot Lookback (Delay): Determines how many bars are required to confirm a swing high or low. A lower number (e.g., 3) makes the indicator faster but slightly riskier/noisier. The default of 5 is a balanced standard. History Depth: Controls how far back the indicator searches for past pivots to compare against (Default: 20). Show Live (Pending)?: Toggle the real-time dashed tracking lines on or off. Custom Colors: Fully customize the line and label colors for every single type of divergence to match your personal chart theme. Pro Tips for Trading Divergence Pending = Prepare: When you see a dashed orange "Live Pending" line, do not enter immediately. Use it as a warning to get your trigger ready. Wait for the candle to close or look for a confirmation signal (like a bullish engulfing or pin bar) on the price chart. Context is King: Regular divergences work best at major support/resistance levels. Hidden divergences work best when trading with the higher timeframe trend. Combine Tools: RSI divergence is a powerful tool, but it shouldn't be used in isolation. Combine it with Volume, Moving Averages, or Market Structure breaks for high-probability setups. *** Disclaimer: This script is for educational and analytical purposes only and does not constitute financial advice.
Indicador Pine Script®
por Stable_Logic
1
HB - Rotational Stretch Engine (STRATEGY)NFA / DYOR HB - Rotational Stretch Engine Professional Strategy Documentation & Execution Manual 1. Strategy Overview • Mean-reversion rotational strategy designed for intraday index futures. • Captures price reversals at structural premium and discount extremes. • Uses RSI stretch and swing confirmation for precise timing. • Fully systematic with defined session, risk, and execution logic. • Optimized for MNQ / NQ micro futures environments. 2. Premium / Discount Range Framework • Calculates rolling high and low over configurable lookback period. • Defines Premium Zone near range highs. • Defines Discount Zone near range lows. • Zone width controlled by percentage input. • Ensures entries occur only at structural extremes. 3. RSI Stretch & Momentum Engine • Configurable RSI length (default 14). • Short Stretch level defines overextended upside momentum. • Long Stretch level defines overextended downside momentum. • Requires RSI swing high confirmation for shorts. • Requires RSI swing low confirmation for longs. • Momentum turn required before order execution. 4. Session Filter • Trades only within defined session hours. • Default: 02:00 – 15:59 (extended U.S. session). • Avoids overnight illiquid conditions. • Ensures participation during institutional volume cycles. 5. Entry Conditions • SHORT Entry: • • Price inside Premium Zone. • • RSI above Short Stretch threshold. • • RSI swing high detected. • • RSI momentum turning downward. • • No active short position. • LONG Entry: • • Price inside Discount Zone. • • RSI below Long Stretch threshold. • • RSI swing low detected. • • RSI momentum turning upward. • • No active long position. 6. Risk Management Model • Fixed tick-based profit target. • Fixed tick-based stop-loss. • Target and stop independently configurable. • Uses average entry price for bracket precision. • Commission and slippage modeled in strategy parameters. 7. Strategic Deployment Guidelines • Best suited for range-bound or rotational environments. • Avoid strong directional breakout expansions. • Effective during volatility cycling conditions. • Position sizing should align with account risk model. • Suitable for automation or disciplined discretionary execution.
Estratégia Pine Script®
por HillBillyKrypto
RSI Suite (Foundation)**RSI Suite (Foundation)** RSI Suite (Foundation) is a RSI-based context toolkit. It combines a clean RSI pane with **regime detection**, optional **CTF/HTF regime background**, **MTF RSI alignment**, **pivot-based divergence (preview + confirmed)**, and optional **RSI signal engines** (mid-cross, pivot break, pivot trendline break). The focus is on **structured market context, confluence, and decision support** — **not** on a “magic signal” system. ## Concept Many traders use RSI as more than an overbought/oversold oscillator. When used with clear thresholds, multi-timeframe context, and pivot structure, RSI becomes a compact framework for: - Reading **bull/bear/neutral regimes** - Spotting **momentum shifts** and **structure breaks** inside the oscillator - Identifying **divergence setups** with confirmation logic - Checking **alignment across timeframes** before acting This script is designed to keep the RSI pane **clean** while adding **advanced context layers** you can enable only when needed. ## Core Modules ### 1) RSI Regime Engine (Bull / Bear / Neutral) A configurable regime model that classifies RSI behavior into structured states. **Regime modes:** - **Mid (50)** → bullish above mid, bearish below - **Range (40/60)** → neutral zone between 40–60 - **Trend (20/80)** → wide thresholds for strong momentum phases - **Custom (low/high)** → user-defined thresholds **Optional visualization:** - **RSI plot color** changes by regime - **Background regime shading** in the RSI pane (**CTF** or **HTF**) ### 2) Confirmed Values Mode (Non-Repainting) A dedicated mode for users who want stable, confirmed values. - **ON (recommended)** → uses confirmed bar values only (no intrabar updates) - Helps avoid “visual repaint” effects while candles are still open - HTF values still update on HTF candle close by design ### 3) RSI Divergence Suite (Pivot-Based) A structured divergence engine based on pivots. **Supported divergence types:** - **Classic** (trend exhaustion style) - **Hidden** (trend continuation style) - **Both** **Two detection layers:** - **Preview** → early candidates (can invalidate) - **Confirmed** → only after pivot confirmation (right-bars) **Quality filters included:** - Min/Max bars between pivots (distance constraints) - Cooldown bars (reduces repetitive signals) - Minimum RSI delta (filters micro-divergences) - Minimum price delta % (filters tiny price differences) - Context filters (mid/OB/OS/range regime gating) - Selectable price source (High/Low, Close, HLC3) ### 4) MTF RSI Context Table + Alignment Score A compact multi-timeframe table shows RSI values across up to 4 user-defined timeframes. - Cell background reflects regime state per timeframe - Alignment score counts how many TFs are in bullish regime (optionally includes CTF) - Designed for **confluence checking** before acting on triggers **Optional alerts:** - **MTF Alignment Cross Up >= N** - **MTF Alignment Cross Down < N** (These alerts trigger on threshold **crosses**, not on persistent state.) ### 5) Status Header (Decision Navigator) A compact header table to read the indicator state at a glance: - Current RSI value - Current regime (Bull/Bear/Neutral) - Optional HTF RSI - Alignment score + effective threshold N - Mode flags (NR/RT, divergence preview status) ### 6) Optional RSI Signal Engines If you want visual triggers in addition to context, you can enable one signal engine: - **RSI Mid Cross** → clean regime/momentum flips around mid - **RSI Pivot Break** → break of confirmed RSI pivot levels - **RSI Pivot Trendline Break** → pivot-based RSI trendlines + break detection **Additional controls:** - Once-per-pivot firing (reduces duplicates) - **Contrarian Regime Filter (MR)** → mean-reversion context filter: - Longs only in Bear/Neutral - Shorts only in Bull/Neutral ## How To Use (Ambitious Beginners) ### A) Start with Regime + Mid - Use **Mid (50)** regime for a simple bullish/bearish read - Watch how RSI behaves around mid during trends vs ranges - Enable CTF background if you want quick visual guidance ### B) Learn with Confirmed Mode (NR) - Enable **Confirmed Values** for stable readings - This helps avoid confusing intrabar moves while learning ### C) Add MTF Table for Context - Choose a logical TF progression (example: 4H / D / W / M) - Use alignment score as a “do I have support?” check - Avoid trading purely against higher timeframe alignment early on ### D) Use Divergence as a Setup, not an Entry - Preview divergence = early hint (can vanish) - Confirmed divergence = better quality - Wait for your own trigger (price action / level / structure) before acting **Beginner workflow suggestion:** Regime + Confirmed Mode + MTF Table → only then add divergence/signal engine. ## How To Use (Advanced Traders) ### 1) Regime + MTF Alignment as a Bias Framework - Use regime mode that matches market behavior: - **Range (40/60)** for mean-reversion environments - **Trend (20/80)** for strong directional phases - Use alignment score to define “permission” for trades - Track transitions: alignment improvement often matters more than absolute RSI ### 2) Divergence Quality Filtering - Tighten filters (min deltas, distance constraints) for higher signal quality - Use context filter: - Bull only in OS or below mid - Bear only in OB or above mid - By Range Regime for mean-reversion systems - Use confirmed divergence as **setup** + trigger via RSI pivot/TL breaks or price structure ### 3) Oscillator Structure Trading (Pivot Break / TL Break) - Pivot break = momentum structure shift inside RSI - Trendline break = early regime/momentum transition tool - Once-per-pivot firing reduces noise in choppy conditions ### 4) Clean Monitoring Setup - Status header on small size for continuous monitoring - MTF table tiny/small for quick alignment scanning - NR mode for stable alerting and post-close evaluation ## Alerts Included - RSI mid cross up/down - Bull/Bear divergence (classic/hidden/any) — confirmed - Bull/Bear divergence — preview (optional) - Signal long/short (from selected signal engine) - Regime change (CTF and HTF) - MTF alignment threshold cross up/down ## Notes / Important - This indicator is a **context and analysis tool** — not a complete trading system. - Divergence can fail, especially in strong trends. Treat it as a setup and use confirmation. - RSI behavior varies by market and timeframe; use regime modes and filters to match the instrument. - Always apply sound risk management. No indicator can replace execution discipline. ## Best Suited For - Ambitious beginners who want structured RSI-based chart reading - Discretionary traders who value context before entry - Traders who combine oscillator structure + divergence + MTF confluence - Users who prefer a clean RSI pane with optional advanced modules
Indicador Pine Script®
por ContextSync
CCI Pro + Turtle + MACD/RSI Power📊 CCI Pro + Turtle Strength + MACD/RSI Power 🔥 Multi-Indicator Confluence Momentum System CCI Pro + Turtle + MACD/RSI Power is an advanced trend strength and momentum confirmation indicator designed for traders who want high-probability entries using multi-layer confirmation instead of relying on a single indicator. This system intelligently combines CCI momentum, Turtle breakout logic, MACD trend power, and RSI strength filtering into one clean and distraction-free chart. Built especially for intraday, index, options, and swing traders. ✅ Core Concept Markets move strongly only when momentum, trend, and strength align together. This indicator detects those moments using a Power Confluence Engine that evaluates: Momentum (CCI) Breakout Strength (Turtle System) Trend Acceleration (MACD) Market Pressure (RSI) When multiple systems agree → probability increases. ⚙️ Indicator Components 📈 CCI Pro Engine Enhanced Commodity Channel Index (CCI) EMA trend alignment filter Zero-line momentum detection Overbought / Oversold zones Dynamic strength histogram Automatic divergence detection Helps identify: ✅ Trend direction ✅ Momentum expansion ✅ Potential reversals 🐢 Turtle Strength Filter Inspired by the classic Turtle Trading System. Features: Donchian channel breakout detection Short & long trend channels ATR-based strength evaluation Breakout momentum confirmation Used internally to validate real trend movement instead of false signals. 📊 MACD Power Filter Measures trend acceleration and momentum quality. Includes: Histogram strength validation Trend alignment confirmation Optional recent crossover filter Momentum intensity calculation Removes weak trend entries. ⚡ RSI Power System Adds market pressure confirmation: Bull/Bear zone filtering Midline trend validation Extreme momentum boost (>80 / <20) Divergence awareness Prevents entries against market strength. 🔥 Power Confluence Modes Choose how strict confirmations should be: ✅ All Confirm All systems must align ➡ Highest accuracy, fewer signals ✅ Majority (2/3) At least two confirmations ➡ Balanced trading mode ✅ Any Confirm Fast signals ➡ Aggressive trading style 💪 Strength Engine The indicator calculates a dynamic strength score using: CCI momentum Turtle breakout pressure MACD expansion RSI extremes Perfect confluence multiplier This produces a real-time trend strength percentage. 📋 Smart Information Table Clean on-chart dashboard displaying: CCI + EMA Status Trend Direction Market Zone Strength % Turtle Confirmation Confluence Score MACD Status RSI Status No need to monitor multiple indicators separately. 🚨 Built-In Alerts Ready for live trading automation: 🔥 MEGA Bullish / Bearish Alignment ⚡ Power Confluence Signals Ultra Trend Signals CCI Zero Cross + Confirmation MACD + RSI Momentum Signals Overbought / Oversold Alerts Momentum Expansion Alerts 🎯 Best Used For ✅ Index Trading (NIFTY / BANKNIFTY) ✅ Options Trading ✅ Intraday Trading ✅ Momentum Breakouts ✅ Trend Following ✅ Swing Trading Works well on 5m, 15m, 1H, and higher timeframes. 💡 Trading Idea Typical bullish condition: CCI above zero & EMA Turtle breakout detected MACD momentum positive RSI confirms strength → Indicates strong trend continuation probability. ⚠️ Disclaimer This indicator is a decision-support tool and does not guarantee profits. Always use proper risk management and confirmation with price action.
Indicador Pine Script®
por k_syedhussain
Institutional Liquidity Flow Engine [JOAT]Institutional Liquidity Flow Engine Introduction The Institutional Liquidity Flow Engine is an advanced open-source volume analysis indicator that combines relative volume monitoring, buyer/seller strength analysis, multi-timeframe alignment detection, and comprehensive flow metrics into a unified institutional-grade tool. This indicator helps traders identify when institutional money is entering or exiting positions by analyzing volume patterns, pressure dynamics, and liquidity conditions across multiple timeframes. Unlike basic volume indicators that simply show volume bars, this engine dissects volume into actionable intelligence: relative volume (RVOL) to identify unusual activity, buyer/seller strength ratios to determine who controls the market, accumulation/distribution trends to track smart money positioning, and multi-timeframe alignment to confirm directional conviction. The indicator is designed for traders who understand that volume precedes price and that institutional footprints can be detected through systematic volume analysis. Why This Indicator Exists This indicator addresses a critical gap in retail trading: the ability to detect institutional activity in real-time. Institutional traders move large positions that create detectable volume signatures. By combining multiple volume analysis methodologies, this indicator reveals: Relative Volume Analysis: Identifies when volume is significantly above or below average, signaling potential institutional activity Buyer/Seller Strength: Quantifies the balance of power between buyers and sellers using volume-weighted calculations Multi-Timeframe Alignment: Confirms whether volume patterns align across 1m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, and Weekly timeframes Flow Metrics: Tracks Money Flow Index (MFI), On-Balance Volume (OBV), Accumulation/Distribution (A/D), and VWAP deviation Liquidity Classification: Categorizes market conditions as Strong Buying, Strong Selling, Balanced, or Thin liquidity Each component provides a different lens on volume behavior. RVOL shows intensity, buyer/seller strength shows direction, MTF alignment shows conviction, flow metrics show institutional positioning, and liquidity classification shows market conditions. Together, they create a comprehensive view of institutional activity. Core Components Explained 1. Relative Volume (RVOL) Analysis RVOL is calculated as current volume divided by the average volume over a specified period (default 20 bars): avgVolume = ta.sma(volume, volumeLength) relativeVolume = avgVolume > 0 ? volume / avgVolume : 1.0 The indicator classifies RVOL into five categories: Extreme (RVOL >= 3.0): Institutional-level activity, potential climax moves High (RVOL >= 1.5): Above-average activity, significant interest Normal (RVOL >= 1.0): Average activity, typical market conditions Low (RVOL >= 0.5): Below-average activity, reduced interest Very Low (RVOL < 0.5): Minimal activity, thin liquidity RVOL thresholds are customizable. Higher RVOL often precedes significant price moves as institutions accumulate or distribute positions. 2. Buyer/Seller Strength Analysis The indicator calculates buyer and seller strength using volume-weighted analysis: buyerVolume = close > open ? volume : 0 sellerVolume = close < open ? volume : 0 buyerStrength = ta.sma(buyerVolume, volumeLength) sellerStrength = ta.sma(sellerVolume, volumeLength) Strength ratios are calculated as percentages: Buyer Ratio: (buyerStrength / totalStrength) * 100 Seller Ratio: (sellerStrength / totalStrength) * 100 When buyer ratio exceeds 70%, bullish pressure dominates. When seller ratio exceeds 70%, bearish pressure dominates. The indicator also integrates ATR-based strength calculations to filter for significant moves and RSI-based strength classification (Strong/Moderate/Weak) for additional context. 3. Multi-Timeframe Alignment The indicator requests RVOL data from three customizable timeframes (default: 5m, 15m, 60m) and calculates alignment: mtf1_bullish = rvol_mtf1 > 1.0 and vol_mtf1 > ta.sma(vol_mtf1, 20) mtfAlignment = (mtf1_bullish ? 1 : 0) + (mtf2_bullish ? 1 : 0) + (mtf3_bullish ? 1 : 0) Alignment status: Strong Aligned (3/3): All timeframes show elevated volume - high conviction Aligned (2/3): Majority timeframes show elevated volume - moderate conviction Weak (1/3): Only one timeframe shows elevated volume - low conviction No Alignment (0/3): No timeframes show elevated volume - no conviction Strong alignment across multiple timeframes indicates institutional participation at scale, as large orders are often split across timeframes to minimize market impact. 4. Flow Metrics Suite Money Flow Index (MFI): Volume-weighted RSI that measures buying and selling pressure: mfi = ta.mfi(close, volumeLength) MFI > 80 indicates overbought conditions with high volume, MFI < 20 indicates oversold conditions with high volume. On-Balance Volume (OBV): Cumulative volume indicator that adds volume on up days and subtracts on down days: obv = ta.cum(math.sign(ta.change(close)) * volume) obvTrend = obv > obvMA ? "Bullish" : obv < obvMA ? "Bearish" : "Neutral" OBV divergences from price often signal reversals. Accumulation/Distribution (A/D): Measures the cumulative flow of money into and out of a security: ad = ta.cum(close == high and close == low or high == low ? 0 : ((2 * close - low - high) / (high - low)) * volume) Rising A/D with rising price confirms uptrend, falling A/D with rising price signals distribution. VWAP Deviation: Measures how far price is from volume-weighted average price: vwap = ta.vwap(close) vwapDeviationPercent = vwap != 0 ? ((close - vwap) / vwap) * 100 : 0 Large deviations often mean-revert as institutions take advantage of inefficient pricing. 5. Volume Speed & Acceleration The indicator calculates volume momentum and acceleration: Volume ROC: Rate of change in volume over 5 periods Volume Acceleration: Change in volume ROC (second derivative) Volume Momentum: Current volume minus 10-period SMA Volume Trend: Increasing or Decreasing based on EMA crossover Accelerating volume often precedes breakouts or breakdowns as institutional orders hit the market. 6. Liquidity Classification System The indicator classifies current liquidity conditions: Strong Buying: High RVOL + positive net pressure (buyer strength > seller strength) Strong Selling: High RVOL + negative net pressure (seller strength > buyer strength) Balanced: Normal RVOL with relatively equal buyer/seller strength Thin: Low RVOL indicating reduced liquidity and potential for slippage Pressure intensity is calculated as: pressureLevel = math.abs(netPressure) / avgVolume pressureIntensity = pressureLevel >= 2.0 ? "Extreme" : pressureLevel >= 1.0 ? "High" : pressureLevel >= 0.5 ? "Moderate" : "Low" Visual Elements RVOL Histogram: Main plot showing relative volume with color-coded intensity (extreme = magenta, high = yellow, normal = green, low = gray) Reference Lines: Horizontal lines at 1.0 (average), 1.5 (high threshold), and 3.0 (extreme threshold) Buyer Pressure Fill: Background fill showing buyer pressure ratio (0-100%) Volume Oscillator: Histogram overlay showing short-term vs long-term volume momentum MFI Line: Thick line overlay showing Money Flow Index with gradient colors Information Table: Comprehensive dashboard displaying all metrics in real-time The table displays 15 metrics: 1. RVOL (current relative volume) 2. Status (Extreme/High/Normal/Low/Very Low) 3. Volume Trend (Increasing/Decreasing) 4. Pressure (Bullish/Bearish/Neutral) 5. Buyer Strength (percentage) 6. Seller Strength (percentage) 7. RSI (current value) 8. Liquidity (Strong Buying/Strong Selling/Balanced/Thin) 9. MTF Alignment (Strong Aligned/Aligned/Weak/No Alignment) 10. A/D Trend (Accumulation/Distribution/Neutral) 11. OBV Trend (Bullish/Bearish/Neutral) 12. MFI (current value) 13. VWAP Deviation (percentage) 14. Volume Momentum (percentage) Input Parameters Volume Analysis: Volume MA Length: Period for volume moving average (default: 20) High RVOL Threshold: Multiplier for high volume detection (default: 1.5) Extreme RVOL Threshold: Multiplier for extreme volume detection (default: 3.0) Multi-Timeframe Settings: Show Multi-Timeframe Analysis: Toggle MTF calculations (default: enabled) Timeframe 1/2/3: Customizable timeframes for alignment analysis (default: 5m, 15m, 60m) Buyer/Seller Strength: ATR Length: Period for ATR calculation (default: 14) RSI Length: Period for RSI calculation (default: 14) RSI Overbought/Oversold: Thresholds for RSI classification (default: 70/30) Display Options: Show Info Table: Toggle information dashboard (default: enabled) Show Volume Histogram: Toggle RVOL histogram (default: enabled) Show VWAP Deviation: Toggle VWAP calculations (default: enabled) Table Position: Choose dashboard location (Top Right/Top Left/Bottom Right/Bottom Left) Colors: All colors are customizable including bullish, bearish, neutral, extreme volume, and high volume colors. How to Use This Indicator Step 1: Monitor RVOL for Unusual Activity Watch for RVOL spikes above 1.5 (high) or 3.0 (extreme). These indicate institutional activity. Extreme RVOL often marks climax moves or major reversals. Step 2: Check Buyer/Seller Strength Identify who controls the market. Buyer ratio > 70% suggests bullish control, seller ratio > 70% suggests bearish control. Look for divergences where price moves one direction but strength moves another. Step 3: Confirm with MTF Alignment Strong alignment across multiple timeframes confirms institutional conviction. Weak or no alignment suggests retail-driven moves that may lack follow-through. Step 4: Analyze Flow Metrics Check MFI, OBV, and A/D for confirmation. Rising OBV with rising price confirms uptrend. Falling A/D with rising price warns of distribution. Step 5: Assess Liquidity Conditions Strong Buying or Strong Selling conditions with high RVOL often precede significant moves. Thin liquidity conditions increase risk of slippage and false moves. Step 6: Look for Volume Acceleration Accelerating volume momentum often precedes breakouts. Decelerating volume momentum often precedes consolidation or reversal. Best Practices Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for most reliable signals Combine with price action analysis - volume shows intent, price shows result Pay attention to RVOL spikes at key support/resistance levels Look for volume divergences: price making new highs/lows without volume confirmation often fails MTF alignment is most reliable on trending markets, less reliable in choppy conditions Extreme RVOL can signal exhaustion - be cautious of chasing moves with RVOL > 5.0 Use VWAP deviation for mean reversion opportunities when price extends far from VWAP Monitor A/D and OBV for early warning signs of trend changes Indicator Limitations Volume analysis works best on liquid instruments with consistent volume patterns Low-volume instruments or off-market hours can produce unreliable RVOL readings MTF alignment requires sufficient data on all timeframes - may not work on newly listed instruments Volume precedes price but doesn't guarantee direction - high volume can occur on both breakouts and fakeouts Buyer/seller strength calculations assume close > open = buying and close < open = selling, which is a simplification RVOL thresholds may need adjustment for different instruments and market conditions The indicator shows what is happening, not why - fundamental catalysts can override technical volume patterns Extreme RVOL can persist longer than expected during major news events or market dislocations Technical Implementation Built with Pine Script v6 using: Custom RVOL calculations with dynamic thresholds Volume-weighted buyer/seller strength analysis Multi-timeframe security requests with proper lookahead settings Comprehensive flow metrics (MFI, OBV, A/D, VWAP) Volume momentum and acceleration calculations Real-time liquidity classification system Dynamic table with 15 metrics and color-coded cells Thick histogram and line plots for enhanced visibility The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its comprehensive integration approach. While individual components (RVOL, MFI, OBV, A/D, buyer/seller strength) are established concepts, this indicator is justified because: It synthesizes six distinct volume analysis methodologies into a unified system The multi-timeframe alignment detection provides institutional conviction measurement not available in standard volume indicators Buyer/seller strength calculations combine volume, ATR, and RSI for multi-dimensional pressure analysis The liquidity classification system categorizes market conditions in real-time Volume speed and acceleration metrics provide early warning of momentum shifts The comprehensive dashboard presents 15 metrics simultaneously for holistic volume analysis Integration of flow metrics (MFI, OBV, A/D, VWAP) with RVOL and strength analysis creates layered confirmation Each component contributes unique information: RVOL shows intensity, buyer/seller strength shows direction, MTF alignment shows conviction, flow metrics show positioning, liquidity classification shows conditions, and volume acceleration shows momentum. The indicator's value lies in presenting these complementary perspectives simultaneously with a unified classification system. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Volume analysis is a tool for understanding market dynamics, not a crystal ball for predicting future price movement. High volume does not guarantee profitable trades. Past volume patterns do not guarantee future volume patterns. Market conditions change, and strategies that worked historically may not work in the future. The metrics displayed are mathematical calculations based on current market data, not predictions of future price movement. High RVOL, strong buyer/seller ratios, and MTF alignment do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
4
Price Normalized RSI Profile [UAlgo]Price Normalized RSI Profile is a hybrid visualization tool that combines a rolling RSI distribution study with a profile style overlay drawn directly on the price chart. Instead of plotting a classic RSI line in a separate oscillator pane, this script collects historical RSI readings, groups them into fixed 0 to 100 bins, weights each bin by traded volume, and then renders the resulting distribution as a horizontal profile on the right side of the main chart. The goal of the script is not to show where price traded the most, but to show where RSI states accumulated the most volume over the selected lookback period. In other words, it answers a different question than a traditional volume profile. Rather than asking which prices were most active, it asks which RSI regimes were most active, then maps those oscillator regimes visually into the chart’s price space for easier on-chart interpretation. The indicator highlights: A volume weighted RSI Point of Control (POC) A Value Area around that POC A right side histogram of RSI regime distribution A color gradient that reflects bullish versus bearish RSI zones Reference labels for POC, VAH, and VAL Lookback boundary markers for profile context This makes the script useful for traders who want to blend oscillator distribution analysis with chart based execution, especially when comparing current price position against historically dominant RSI states. Important note: The POC, VAH, and VAL in this script are derived from an RSI distribution profile , not from a standard price based volume profile. They are visually mapped onto the current chart range for presentation. 🔹 Features 🔸 1) Volume Weighted RSI Distribution Profile The script collects RSI values over a rolling lookback window and assigns each reading into one of several fixed RSI bins. Each bin accumulates volume , not just frequency, so the profile reflects how much traded participation occurred while RSI was in that zone. This makes the output more meaningful than a simple occurrence count because highly active bars contribute more weight. 🔸 2) Fixed 0 to 100 RSI Bin Framework The profile is built over the natural RSI range from 0 to 100, divided into a user defined number of bins. This creates a stable oscillator distribution model that is consistent across symbols and timeframes. Lower bin counts create thicker, smoother profile bars. Higher bin counts create finer resolution and more detailed structure. 🔸 3) Overlay on the Main Price Chart Unlike most RSI tools, this script runs with overlay=true and renders the profile directly on the price chart. It maps RSI bins onto the vertical span of the recent chart range, allowing traders to see the distribution without leaving the main chart. This is a visual convenience feature and creates a unique fusion of oscillator logic and price space presentation. 🔸 4) Point of Control (POC) Detection The indicator identifies the RSI bin with the highest accumulated volume and treats it as the RSI Profile POC. This is the most active RSI zone by volume over the lookback window. The POC is highlighted with: A wider profile bar A unique color A label showing the POC volume 🔸 5) Value Area (VAH / VAL) Calculation The script builds a Value Area around the POC using the selected percentage of total profile volume. This identifies the core RSI regime zone where the majority of the volume weighted RSI activity occurred. The Value Area is visually emphasized with more visible bars and separate VAH / VAL guide lines. 🔸 6) Gradient Color Mapping by RSI Regime Each bin is colored using a gradient based on its RSI location: Lower RSI zones lean bullish color Higher RSI zones lean bearish color This reflects the script’s chosen visual logic, where low RSI bins appear in the bullish color family and high RSI bins appear in the bearish color family. 🔸 7) Distinct Styling for POC, Value Area, and Outside Value The script visually separates three categories: POC bin Bins inside the Value Area Bins outside the Value Area This helps traders quickly distinguish the dominant RSI regime from the broader accepted RSI zone and from lower importance outer regions. 🔸 8) Forward Projected Histogram Layout The profile is drawn to the right of current price using configurable: Maximum width in bars Horizontal offset This keeps the histogram out of the way of current candles while preserving clear visibility on the active chart. 🔸 9) Lookback Context Markers The script draws a vertical line marking the start of the profile lookback window, plus horizontal guide lines across the chart high and low range used for the profile mapping. This makes it easy to understand which portion of the chart is being analyzed. 🔸 10) Compact On Chart Labels The indicator adds right side labels for: POC VAH VAL This makes the distribution easier to read without manually inspecting each bar. 🔸 11) Rolling History Buffer for RSI and Volume The script stores both RSI and volume into arrays, allowing the profile to be rebuilt from recent history on the last bar. This keeps the logic fully rolling and independent from session boundaries. 🔸 12) Structured Object Based Design The script uses custom types: RsiBin for each RSI interval RsiProfile for the full profile state, including POC and Value Area indexes This makes the internal logic cleaner and easier to maintain. 🔹 Calculations 1) RSI Calculation The script calculates RSI from the chosen source and length: float rsi_val = ta.rsi(rsi_src, rsi_len) This value is the basis for all binning and profile accumulation. 2) Rolling RSI and Volume History Storage Every bar, the script pushes the latest RSI value and volume into rolling arrays: rsi_history.push(rsi_val) vol_history.push(volume) To prevent unlimited growth, the arrays are trimmed when they exceed: lookback + 100 This keeps enough buffer for profile stability while controlling memory size. 3) Fixed RSI Bin Initialization The profile divides the 0 to 100 RSI range into equal bins: float step = 100.0 / bins_count for i = 0 to bins_count - 1 float min_v = i * step float max_v = (i + 1) * step this.bins.push(RsiBin.new(min_v, max_v, 0.0, 0)) Each bin stores: RSI minimum value RSI maximum value Accumulated volume Observation count 4) Volume Weighted Population of the RSI Profile When populating the profile, each historical RSI value is mapped into the correct bin: int bin_idx = math.floor(r_val / 100.0 * this.bins.size()) The index is clamped to remain inside valid bounds: bin_idx := math.min(bin_idx, this.bins.size() - 1) bin_idx := math.max(bin_idx, 0) Then the script adds the corresponding bar volume to that bin: b.volume += v_val b.count += 1 this.total_vol += v_val This means the profile is volume weighted RSI distribution , not a simple count histogram. 5) POC Detection As bins are populated, the script tracks the bin with the highest accumulated volume: if b.volume > this.max_vol this.max_vol := b.volume this.poc_idx := bin_idx This bin becomes the profile POC and acts as the center for Value Area expansion. 6) Value Area Calculation The Value Area target is calculated from total profile volume: float target_vol = this.total_vol * (va_percent / 100.0) The script starts from the POC and expands outward, comparing the next upper and lower bin volumes: float vol_up = (top < max_idx) ? this.bins.get(top + 1).volume : 0.0 float vol_dn = (bot > 0) ? this.bins.get(bot - 1).volume : 0.0 Whichever side has more volume is added first. This continues until the accumulated volume reaches the target percentage. The final indexes are stored as: this.va_top_idx := top this.va_bot_idx := bot 7) Mapping RSI Bins into Price Space A key part of this script is that RSI bins are not drawn in an oscillator pane. Instead, each RSI interval is mapped onto the chart’s recent price range: float price_range = chart_high - chart_low float y_bottom = chart_low + (b.min_val / 100.0) * price_range float y_top = chart_low + (b.max_val / 100.0) * price_range Interpretation: RSI 0 maps to the recent chart low. RSI 100 maps to the recent chart high. All intermediate RSI bins are proportionally placed between them. This is a visual mapping device, not a statement that those price levels correspond to actual RSI threshold prices. 8) Histogram Width Normalization Each bin’s horizontal width is scaled by its volume relative to the maximum profile volume: int bar_w = math.round((b.volume / this.max_vol) * max_width) If the bin is the POC, it gets extra width: if is_poc bar_w := int(max_width * 1.15) This makes the POC stand out clearly inside the profile. 9) POC, VA, and Outside VA Styling Logic Each bin is categorized as: POC Inside the Value Area Outside the Value Area Then the script applies different opacity and border logic: POC gets the dedicated POC color VA bins are more visible Outside VA bins are more faded This creates clear visual hierarchy in the profile. 10) Color Gradient by RSI Position Base color is determined from bin position in the RSI scale: color base_col = color.from_gradient(b.min_val, 0, 100, c_bull, c_bear) This means lower RSI bins transition toward the bullish color and higher RSI bins transition toward the bearish color. This is a stylistic mapping choice built into the script. 11) POC Label and Volume Display When the POC is drawn, the script also adds a label showing: The text POC The accumulated volume of that bin text="POC " + str.tostring(b.volume, format.volume) This provides quick information about the dominant RSI regime’s participation size. 12) VAH and VAL Price Level Rendering The script converts the Value Area top and bottom RSI bin indexes into mapped chart levels: For VAH: float vah_level = chart_low + (b_vah.max_val / 100.0) * price_range_val For VAL: float val_level = chart_low + (b_val.min_val / 100.0) * price_range_val It then draws dashed horizontal lines and small labels for both. Important note: These are RSI profile Value Area boundaries mapped into price space , not true price based VAH and VAL from a market profile. 13) Lookback Boundary Drawing The start of the lookback window is marked with a vertical dotted line: int start_bar_idx = bar_index - lookback line.new(start_bar_idx, chart_low, start_bar_idx, chart_high, ...) This makes it easier to visually understand which section of chart history contributed to the current profile. 14) Chart Range Anchoring The vertical display range used for the RSI to price mapping is derived from: float chart_high = ta.highest(high, lookback) float chart_low = ta.lowest(low, lookback) This means the profile always stretches across the full recent visible price range used in the calculation window. 15) Last Bar Rendering Behavior The profile is built and rendered only on the last bar: if barstate.islast vp.init(bin_count) vp.populate(rsi_history, vol_history, lookback) vp.calc_va(va_pct) vp.render(...)
Indicador Pine Script®
por UAlgo
Quantum Relative Performance Oscillator [Pineify]Quantum Relative Performance Oscillator A sophisticated relative strength indicator that normalizes performance metrics to identify true momentum shifts between an asset and its benchmark. The Quantum Relative Performance Oscillator (RPO) is an advanced technical indicator designed to measure and visualize how a specific asset performs relative to a benchmark index. Unlike traditional relative strength indicators that can drift over time, this indicator normalizes the RS ratio to center around zero, providing traders with a clearer, more accurate picture of momentum shifts. The Quantum RPO addresses a fundamental limitation in traditional relative strength analysis. While standard RS indicators show whether an asset is outperforming or underperforming a benchmark, they don't easily reveal when that outperformance is accelerating or decelerating. This indicator solves that problem by normalizing the relative strength ratio and applying weighted moving average smoothing to create clear, actionable trading signals. Key Features Normalized RS Calculation: Centers the relative strength ratio around zero, eliminating long-term drift and making it easier to identify current momentum trends Weighted Moving Average (WMA) Processing: Uses WMA instead of simple moving averages for more responsive calculations that give greater weight to recent price action Dynamic Color Histogram: Visual representation of momentum acceleration and deceleration with intelligent color coding Crossover Signals: Clear bullish and bearish momentum shift indicators when the RS Ratio crosses above or below the signal line Customizable Benchmark: Compare any asset against a user-selected benchmark symbol (default: SPY) Adjustable Parameters: Configurable lookback length and signal smoothing for different timeframes and trading styles Built-in Alerts: Automated notifications for momentum shift events How It Works The indicator fetches closing prices for both the current asset and the user-defined benchmark symbol It calculates the raw Relative Strength (RS) by dividing the asset's close price by the benchmark's close price A Weighted Moving Average (WMA) is applied to the RS to establish a baseline equilibrium level The RS Ratio is calculated as: (RS / WMA) * 100 - 100, which normalizes the value around zero A Signal Line is created by applying additional WMA smoothing to the RS Ratio The histogram (Performance Delta) shows the difference between the RS Ratio and Signal Line, indicating momentum strength Trading Ideas and Insights Momentum Confirmation: Use the RS Ratio crossing above zero as confirmation that an asset is gaining relative strength against its benchmark Trend Reversal Signals: Watch for bullish crossovers (RS Ratio crossing above Signal Line) to identify potential trend reversals Relative Strength Screening: Compare multiple assets using the same benchmark to identify the strongest performers in a sector Divergence Detection: Look for situations where price makes new highs but the RS Ratio fails to confirm, indicating weakening relative momentum Sector Rotation: Use different benchmarks (sector ETFs) to identify rotation between sectors How Multiple Indicators Work Together This indicator combines three separate but complementary calculations to create a comprehensive relative strength tool: The raw RS calculation provides the fundamental comparison between asset and benchmark performance The WMA normalization removes drift and creates a centered oscillator that oscillates around zero The signal line smoothing filters out noise and provides clear crossover points for trading signals The histogram visualization combines both elements to show the magnitude and direction of momentum in one clear display Unique Aspects Unlike traditional RS indicators that can drift indefinitely higher or lower over time, the Quantum RPO's normalized calculation ensures the oscillator remains centered, making it easier to identify overbought and oversold conditions in relative terms The dynamic color histogram provides intuitive visual feedback about whether momentum is accelerating or decelerating, helping traders avoid false signals The use of Weighted Moving Averages rather than simple moving averages provides more responsive calculations that adapt faster to changing market conditions The built-in alert system allows traders to receive notifications automatically when momentum shifts occur, without needing to constantly monitor the chart How to Use Apply the indicator to any asset's chart Select your preferred benchmark symbol in the settings (SPY for US stocks, BTCUSD for crypto, etc.) Interpret the RS Ratio: Positive values indicate outperformance, negative values indicate underperformance Use the Signal Line crossovers for entry signals: Buy when RS Ratio crosses above Signal Line, Sell when it crosses below Monitor the histogram for momentum confirmation: Green columns rising indicate strengthening bullish momentum, red columns falling indicate strengthening bearish momentum Set up alerts for bullish and bearish momentum shifts to receive notifications Customization Benchmark Symbol: Change the comparison asset (SPY, QQQ, BTCUSD, etc.) Lookback Length: Adjust the period for WMA calculations (default: 20). Higher values produce smoother results with more lag; lower values are more responsive but may generate more false signals Signal Length: Modify the smoothing period for the signal line (default: 9) Color Customization: Customize the bullish (outperforming) and bearish (underperforming) colors to match your preferences These parameters can be adjusted to suit different trading timeframes, from intraday scalping to long-term position trading The Quantum Relative Performance Oscillator is a powerful tool for traders who want to understand not just whether an asset is outperforming its benchmark, but whether that outperformance is accelerating or losing steam. By normalizing the relative strength calculation and providing clear visual and alert-based signals, it helps traders make more informed decisions about entries, exits, and asset allocation across different markets and timeframes.
Indicador Pine Script®
por Pineify
1
3D RSI [UAlgo]3D RSI is a visual RSI enhancement indicator that transforms the standard RSI line into a dynamic 3D style ribbon inside a separate oscillator pane. Instead of plotting a single line only, the script builds an upper and lower envelope around RSI using a user defined thickness value, then connects and fills those layers bar by bar to create a depth effect. The result is a more expressive RSI display that highlights momentum shifts, overbought and oversold transitions, and local structure in a visually intuitive way. In addition to the 3D ribbon, the script includes a built in divergence module labeled as 3D Divergence . It detects regular bullish and bearish divergence using RSI pivot highs and lows versus price pivot highs and lows, then draws a bridge style visual in the RSI pane to emphasize the divergence relationship in a depth themed format. The indicator is designed for traders who want both functionality and presentation. It preserves the standard RSI context through a base RSI plot and common reference levels (70, 50, 30), while adding a layered ribbon, gradient coloring, background zones, live value labeling, and optional divergence annotations. Educational tool only. Not financial advice. 🔹 Features 🔸 1) 3D RSI Ribbon Visualization The core feature of the script is a 3D style RSI ribbon built from: An upper RSI boundary A lower RSI boundary A vertical connector on each bar A filled region between upper and lower boundaries This creates a depth effect around RSI rather than a flat oscillator line, making momentum expansion and contraction easier to read visually. 🔸 2) User Defined 3D Thickness The 3D Thickness input controls the distance between the upper and lower ribbon edges around the RSI value. Increasing thickness creates a broader ribbon and a stronger depth effect. Lower values produce a tighter, more precise band around the RSI curve. 🔸 3) Gradient Color Mapping by RSI Level Ribbon colors are dynamically mapped using a gradient based on RSI value: Lower RSI values lean toward the Oversold color Higher RSI values lean toward the Overbought color This makes the ribbon itself function as a regime heatmap, so you can visually assess oscillator state without reading exact numbers. 🔸 4) Real Time Ribbon Update with Efficient Segment Handling The script draws new ribbon segments only when a new bar is formed and updates the latest segment while the current bar is still developing. This provides a smooth real time display while controlling object creation and performance. It also includes cleanup logic that removes older ribbon objects once the stored segment count grows too large. 🔸 5) Built In 3D Divergence Detection (Regular Bullish and Bearish) When enabled, the indicator detects regular divergence using RSI pivots and price pivots: Bearish divergence when price makes a higher high while RSI makes a lower high Bullish divergence when price makes a lower low while RSI makes a higher low The script uses RSI pivot confirmation with configurable left and right lookback settings, then pairs each new pivot with the most recent prior pivot of the same type. 🔸 6) 3D Divergence Bridge Visualization Instead of drawing a plain divergence line only, the script creates a bridge style divergence visual in the RSI pane: An outer edge line (upper for bearish, lower for bullish) A center line connecting RSI pivot values Vertical pillar lines at both pivot points A compact label marking Bull Div or Bear Div This keeps the divergence presentation consistent with the 3D ribbon concept. 🔸 7) Live RSI Value Label A dynamic label is placed near the latest RSI point and updates on every bar. The label displays the current RSI value and inherits the same gradient driven color logic as the ribbon, improving readability and quick decision support. 🔸 8) Standard RSI Base Plot Included The script also plots a classic RSI line in the background with reduced opacity. This is useful for users who want the familiar RSI trace while still benefiting from the 3D ribbon display. 🔸 9) Overbought / Oversold / Mid Reference Levels The indicator includes standard horizontal reference levels: 70 for overbought 30 for oversold 50 for midpoint These levels work alongside the ribbon and divergence visuals to preserve standard RSI interpretation workflows. 🔸 10) Background Regime Shading The script fills the upper (70 to 100) and lower (0 to 30) zones with subtle color shading using the user selected overbought and oversold colors. This helps emphasize extreme zones without overwhelming the pane. 🔸 11) Object Based Internal Design The script uses custom types for better structure and maintainability: RSIPoint stores ribbon points (index, RSI, upper, lower) PivotPoint stores divergence pivots (price and RSI context) RSI3D stores the engine state, object arrays, labels, and last pivot references This design supports cleaner extension for future features. 🔹 Calculations 1) RSI Core Calculation The indicator uses the standard RSI calculation on close: float rsiVal = ta.rsi(src, LEN) A second standard RSI calculation is also plotted as a base line for reference: rsiVal = ta.rsi(close, LEN) plot(rsiVal, "RSI Base", color=color.new(color.gray, 50), linewidth=1) 2) 3D Ribbon Geometry (Upper and Lower Layers) For each valid RSI value, the script builds a 3D envelope using the configured thickness: float upperVal = rsiVal + this.thickness float lowerVal = rsiVal - this.thickness These three values define a single RSIPoint : The center RSI value The upper ribbon edge The lower ribbon edge The ribbon is then drawn by connecting consecutive RSIPoint objects. 3) RSIPoint History Management The script stores recent ribbon points in an array. If the current bar already exists as the most recent point, it updates that point. Otherwise it appends a new one: if lastPoint.index == bar_index this.history.set(this.history.size() - 1, newPoint) else this.history.push(newPoint) History is capped to avoid excessive memory growth: if this.history.size() > 1000 this.history.shift() 4) Ribbon Segment Drawing Logic When at least two points exist, the script draws or updates a single segment between the previous and current point: Upper line between previous upper and current upper Lower line between previous lower and current lower Vertical line at current bar connecting upper and lower Filled region between upper and lower lines line l_up = line.new(p1.index, p1.upper, p2.index, p2.upper, ...) line l_dn = line.new(p1.index, p1.lower, p2.index, p2.lower, ...) line l_v = line.new(p2.index, p2.upper, p2.index, p2.lower, ...) linefill lf = linefill.new(l_up, l_dn, color=colorFill) If the bar is still active and no new index exists, the script updates the last segment instead of creating a new one. 5) Gradient Color Calculation for the 3D Ribbon Ribbon color is derived from the current RSI value using a gradient between the oversold and overbought colors: color c_curr = color.from_gradient(p2.value, 30, 70, COL_OS, COL_OB) The script then derives related colors from this base for: Upper line Lower line Fill Vertical connector This creates a coherent depth style while preserving the RSI level heatmap effect. 6) Live RSI Label Update The current value label is updated on each draw cycle: this.current_label.set_xy(p2.index + 1, p2.value) this.current_label.set_text(str.tostring(p2.value, "#.0")) this.current_label.set_textcolor(c_curr) This keeps the label positioned next to the latest RSI point and colored according to current RSI regime. 7) RSI Pivot Detection for Divergence The divergence engine uses RSI pivot highs and lows: float ph_rsi_val = ta.pivothigh(rsiVal, DIV_LB, DIV_RB) float pl_rsi_val = ta.pivotlow(rsiVal, DIV_LB, DIV_RB) Pivot index is aligned to the true pivot bar by subtracting the right lookback: int pivot_idx = bar_index - DIV_RB This ensures divergence bridges are anchored to the actual pivot points, not the later confirmation bar. 8) Price and RSI Pivot Pair Construction When an RSI pivot is confirmed, the script creates a PivotPoint using: Pivot bar index Price at pivot bar (high for pivot high, low for pivot low) RSI pivot value RSI upper and lower ribbon bounds at the pivot Examples: float ph_price = high PivotPoint curr_ph = PivotPoint.new(pivot_idx, ph_price, ph_rsi_val, ph_upper, ph_lower) float pl_price = low PivotPoint curr_pl = PivotPoint.new(pivot_idx, pl_price, pl_rsi_val, pl_upper, pl_lower) 9) Bearish Divergence Condition The script checks regular bearish divergence by comparing the current RSI pivot high to the last stored RSI pivot high: if curr_ph.price > this.last_ph.price and curr_ph.rsi_val < this.last_ph.rsi_val draw_bridge(this, this.last_ph, curr_ph, false) Interpretation: Price prints a higher high RSI prints a lower high This is a classic regular bearish divergence condition. 10) Bullish Divergence Condition The script checks regular bullish divergence by comparing the current RSI pivot low to the last stored RSI pivot low: if curr_pl.price < this.last_pl.price and curr_pl.rsi_val > this.last_pl.rsi_val draw_bridge(this, this.last_pl, curr_pl, true) Interpretation: Price prints a lower low RSI prints a higher low This is a classic regular bullish divergence condition. 11) 3D Divergence Bridge Construction When divergence is detected, the script draws a bridge style annotation in the RSI pane: Outer edge line uses the RSI upper boundary for bearish divergence or RSI lower boundary for bullish divergence Center line connects the two RSI pivot values Vertical pillar lines connect outer edge to center at both pivots A label is placed near the midpoint reading Bull Div or Bear Div Key logic: float y1 = is_bullish ? p1.rsi_lower : p1.rsi_upper float y2 = is_bullish ? p2.rsi_lower : p2.rsi_upper line.new(p1.index, y1, p2.index, y2, ...) line.new(p1.index, y1, p1.index, p1.rsi_val, ...) line.new(p2.index, y2, p2.index, p2.rsi_val, ...) This gives divergence signals a depth themed appearance that matches the ribbon. 12) Object Cleanup and Performance Controls To manage chart object limits, the script trims older ribbon objects when the stored ribbon segment count exceeds a threshold: if this.lines_upper.size() > 480 line.delete(this.lines_upper.shift()) line.delete(this.lines_lower.shift()) line.delete(this.lines_vert.shift()) linefill.delete(this.fills.shift()) This helps maintain performance while preserving a large recent portion of the 3D ribbon. 13) Reference Levels and Background Zones The script adds standard RSI reference lines: hline(70, "OB Level", ...) hline(30, "OS Level", ...) hline(50, "Mid Level", ...) It also shades the upper and lower extreme zones with subtle fills: fill(obLine, plot(100, display=display.none), color=color.new(COL_OB, 95)) fill(osLine, plot(0, display=display.none), color=color.new(COL_OS, 95)) These layers provide familiar RSI context beneath the 3D visuals.
Indicador Pine Script®
por UAlgo
Delta IndicatorThis indicator provides a clear visual signal for market momentum and strength by measuring the "delta" (or difference) between a primary momentum oscillator and its moving average or signal line. You can choose between three powerful modes: RSI Delta, MACD Delta, and Stochastic Delta. The output is a simple histogram that helps you quickly gauge the current state of momentum. How to Interpret the Signals The indicator's value fluctuates above and below a central zero line. Positive Histogram (Above Zero): This signals building momentum. It means the primary oscillator (e.g., RSI, MACD line, or %K line) is stronger than its counterpart. The higher the histogram bars, the stronger the upward momentum. Negative Histogram (Below Zero): This signals fading momentum. It means the primary oscillator is weaker than its counterpart. The lower the histogram bars, the stronger the downward momentum. Zero Line Crossover: This is a key event. A cross from negative to positive suggests a potential shift to bullish momentum, while a cross from positive to negative indicates a potential shift to bearish momentum. Indicator Modes RSI Delta: Measures the acceleration of price strength. This mode is sensitive and effective for identifying short-term shifts in momentum and seeing when overbought/oversold conditions are strengthening or weakening. MACD Delta (Standard MACD Histogram): Measures the momentum of the trend itself by showing the difference between the fast MACD line and the slow Signal line. This mode is excellent for confirming trend direction and identifying potential trend reversals. Stochastic Delta: Measures the difference between the faster %K line and the slower %D line. This mode is highly responsive to short-term price changes and is particularly useful for identifying potential turning points in ranging markets or within a larger trend. By using the Delta Indicator, traders can more easily spot exhaustion in a trend, confirm the strength of a new move, and identify divergences between momentum and price across different types of oscillators.
Indicador Pine Script®
por MwaC_13
SatoshiSignals Momentum Divergence ScannerSpot the moment buying or selling pressure starts to fade — before price confirms it. When price keeps climbing but the engine underneath is losing power, a reversal is often not far away. This indicator automatically detects those mismatches — called divergences — and draws them directly on the momentum panel so you never miss one. ──── What You're Looking At ──── A single line displayed in a separate panel below your chart. The line measures momentum — not the direction of price, but how strong the move behind it is. The scale runs from 0 to 100. Red zone (above 70) — momentum is extremely high. The move may be overextended and running out of fuel. Green zone (below 30) — momentum has collapsed. The move may be exhausted in the other direction. Blue (50 to 70) — bullish momentum territory. Buyers have the edge. Grey (30 to 50) — bearish momentum territory. Sellers have the edge. ──── What Is a Divergence? ──── A divergence happens when price and momentum tell different stories at the same time . Regular divergences — warn of reversals: Bearish divergence (red dashed line + "Bear" label) — price made a higher high, but momentum made a lower high. The last push up was weaker than the one before it. Buyers are tiring. Watch for a move down. Bullish divergence (green dashed line + "Bull" label) — price made a lower low, but momentum made a higher low. Sellers are losing their grip. Watch for a move up. Hidden divergences — warn of trend continuation (optional, off by default): Hidden bearish (orange dotted line + "H.Bear" label) — price pulled back to a lower high but momentum spiked above its previous high. The downtrend is likely to resume. Hidden bullish (teal dotted line + "H.Bull" label) — price pulled back to a higher low but momentum dipped below its previous low. The uptrend is likely to continue. ──── Settings ──── RSI Settings Length — how many bars are used to measure momentum. Default: 14. Lower values (e.g. 7) react faster but produce more noise. Higher values (e.g. 21) are smoother but slower. Source — which price point to measure. Default: closing price. Overbought / Oversold — the thresholds that define the red and green extreme zones. Default: 70 and 30. Show 50 midline — toggles the centre line that separates bullish from bearish territory. Divergence Settings Pivot Left Bars / Pivot Right Bars — controls how many candles must confirm a swing high or low before the indicator treats it as significant. Higher values (e.g. 8–10) produce fewer but more reliable signals. Lower values (e.g. 3) catch more signals but include more noise. Default: 5/5. Regular Bearish Div / Regular Bullish Div — toggle reversal divergence signals on or off. Both on by default. Hidden Bearish Div / Hidden Bullish Div — toggle continuation divergence signals on or off. Both off by default. Enable when trading with a trend. Show Labels — shows or hides the text labels ("Bear", "Bull", "H.Bear", "H.Bull") at each detected point. ──── Alerts ──── Regular Bullish Divergence — bullish reversal signal detected Regular Bearish Divergence — bearish reversal signal detected Hidden Bullish Divergence — bullish continuation signal detected Hidden Bearish Divergence — bearish continuation signal detected Momentum exited overbought zone — line crossed back below 70 Momentum exited oversold zone — line crossed back above 30 Momentum crossed above 50 — shifted into bullish territory Momentum crossed below 50 — shifted into bearish territory ──── Tips ──── Divergences are most reliable when they occur at key price levels — a bullish divergence at major support, or a bearish divergence at strong resistance, is significantly more meaningful than one in the middle of a range. A divergence is a warning signal , not an immediate entry. Wait for price to actually begin turning before acting. The divergence sets the context; a confirming price candle triggers the trade. The wider the price swing that forms the divergence, the more significant the signal. Ignore tiny wiggles — focus on clearly visible swing highs and lows. Regular divergences are most useful for catching reversals at market extremes. Hidden divergences are most useful for finding re-entries during pullbacks in a strong trend — they serve very different purposes. When multiple divergences stack in the same direction across consecutive swings, the signal strengthens considerably.
Indicador Pine Script®
por satoshi-signals
VMC Cipher_B + Waves - RSI FilteredCredits & Origins This script is a collaborative evolution of one of the most respected toolsets in the TradingView community: Original Concept: Based on the legendary work by VuManChu. Pine Script v6 Modernization: Special thanks to seven_raspberries for the initial v6 port and optimization. Enhancements & Filtering: Modified by Gemini AI to include advanced RSI signal filtering and additional momentum/volatility layers. What’s New in This Version? The main goal of this update is to solve the "noise" problem in trending markets—specifically when divergence signals appear too early during strong price moves. Dynamic RSI Divergence Filter: You can now filter out Bearish/Bullish divergence dots based on RSI thresholds. For example, you can set the script to only show big red dots when RSI is above 60 or 70. This prevents getting "stopped out" by premature signals during parabolic runs. Volatility-Ready Squeeze Dots: Integrated Squeeze Momentum dots on the zero line. These are now fully customizable in the Style/Inputs tab, allowing you to track volatility cycles without losing focus. TDI (Traders Dynamic Index) Confirmation: Added TDI Green/Red signal lines. When these lines cross in confluence with a WaveTrend crossover, it confirms a high-probability trade entry. Full Feature Retention: This version preserves all the original aesthetics, "Gold Buy" logic, and the table-based Momentum Dashboard from the earlier v6 master versions. Settings Guide RSI Filter Settings: Use this section to adjust the sensitivity of the large dots. High-volatility assets (like BTC) may benefit from a higher RSI Sell Filter (e.g., 65-75). Overkill Extra: Toggle the Squeeze and TDI lines here to match your trading style. License This is an open-source script. Please maintain the credits to the authors above if you decide to modify or share this further.
Indicador Pine Script®
por CamurTheDog
MAD RSI ~ CharonQuantMAD RSI MAD RSI is a volatility-adjusted momentum indicator built on the classic RSI framework. Instead of using RSI alone, this model integrates Mean Absolute Deviation (MAD) to measure how far current momentum deviates from its recent average. This allows the indicator to filter weak signals and highlight true directional pressure. How It Works RSI is calculated using your selected source and length. A moving average of RSI is computed. The Mean Absolute Deviation (MAD) of RSI is measured. Dynamic deviation bands are built around RSI: -Upper Band = RSI + MAD -Lower Band = RSI − MAD The 50-level acts as a regime filter: -Bullish Regime → Lower band above 50 -Bearish Regime → Upper band below 50 This structure ensures momentum strength is confirmed before bias shifts. Why MAD? Mean Absolute Deviation is: Less sensitive to extreme spikes More stable in trending markets Cleaner for regime classification This results in smoother transitions and fewer false flips. Best Used For Trend continuation environments Volatility expansion phases Bias confirmation for long/short strategies Filtering RSI noise Building systematic trading models Development and usage notes: You must tweak the parameters to fit your market, timeframe, and trading style. If you do not read this description or do not understand what the indicator is designed to do, do not use it. Indicators amplify both discipline and mistakes. Important reminder: No single indicator is sufficient on its own.
Indicador Pine Script®
por CharonQuant
1
BFAS76 Charts - Hybrid Momentum IndexBFAS76 Charts - Hybrid Momentum Index OVERVIEW Hybrid Momentum Index combines two complementary momentum measurement systems into a single oscillator panel: a Laguerre filtered PPO Percentile Rank and a DMI-based Stochastic. This dual approach provides both trend momentum strength and directional movement confirmation, with multi timeframe channel detection for context. ═══════════════════════════════════════════ COMPONENTS 1. PERCENTILE RANK LINE (Red) Based on Laguerre smoothed PPO (Percentage Price Oscillator), converted to a percentile rank over a lookback period. Shows where current momentum stands relative to historical momentum readings. 2. DMI STOCHASTIC LINE (Blue) Stochastic oscillator applied to the DMI oscillator (Plus DI minus Minus DI). Measures the directional movement strength in stochastic terms, identifying overbought/oversold conditions in trend strength. 3. MTF CHANNEL BACKGROUND Background coloring based on higher timeframe high/low channel, providing visual context for when price is at channel extremes. ═══════════════════════════════════════════ HOW IT WORKS LAGUERRE PPO PERCENTILE RANK - Laguerre filter smooths price data with minimal lag - PPO calculated from fast and slow Laguerre values - Result converted to percentile rank (0-100) - High readings (>90) indicate momentum at historical highs - Low readings indicate weak momentum relative to history DMI STOCHASTIC - Calculates Plus DI and Minus DI using Welles Wilder method - DMI oscillator = Plus DI - Minus DI - Stochastic applied to DMI oscillator - Crosses above oversold (15) = potential long signal - Crosses below overbought (85) = potential short signal ═══════════════════════════════════════════ SIGNAL ARROWS - Blue Triangle Up: DMI Stochastic crosses above oversold level (bullish) - White Triangle Down: DMI Stochastic crosses below overbought level (bearish) ═══════════════════════════════════════════ REFERENCE LEVELS - 80 Line (Red): Overbought zone boundary - 20 Line (Green): Oversold zone boundary ═══════════════════════════════════════════ SETTINGS Percentile Rank Parameters: - Over_Bought: Upper percentile threshold (default: 90) - Over_Sold: Lower percentile threshold (default: 70) - LONG: Laguerre gamma for fast line (default: 0.3) - SHORT: Laguerre gamma for slow line (default: 0.5) - PRO-Top/Bottom: Lookback period for percentile calculation (default: 250) DMI Stochastic Parameters: - DMI: DMI calculation length (default: 10) - DMI Stoch: Stochastic length applied to DMI (default: 6) - OS %: Oversold threshold (default: 15) - OB %: Overbought threshold (default: 85) MTF Channel: - Small Channel TF: Timeframe for high/low channel (default: 720 minutes) - Range: Lookback for channel extremes (default: 1) ═══════════════════════════════════════════ INTERPRETATION BULLISH CONDITIONS - DMI Stochastic crossing above oversold (arrow signal) - Percentile Rank rising from low levels - Background showing price at lower channel extreme BEARISH CONDITIONS - DMI Stochastic crossing below overbought (arrow signal) - Percentile Rank falling from high levels - Background showing price at upper channel extreme STRONGEST SIGNALS - Both lines confirming the same direction - Signals occurring at MTF channel extremes ═══════════════════════════════════════════ CREDITS This indicator builds upon open source work from the TradingView community: - VDUBUS: Original concept creator of "BinaryPro 2" indicator - THELARK (Chris Moody): Laguerre filter implementation and PPO percentile rank code The Stoch_VX2 script that combined these concepts served as the foundation for the percentile rank component of this indicator. BFAS76 modifications and additions: - DMI Stochastic system (original) - Multi-timeframe channel background (original) - Signal arrow system (original) - Visual refinements and parameter optimization - Code conversion to Pine Script v5 - Integration into unified hybrid momentum panel ═══════════════════════════════════════════ ORIGINALITY STATEMENT This indicator combines adapted open-source code with original development by BFAS76. CREDITED CODE: - Vdubus: BinaryPro 2 concept and indicator design - TheLark (Chris Moody): Laguerre filter function, PPO calculation, percentile rank logic ORIGINAL CODE BY BFAS76: - DMI Stochastic calculation and integration - Multi-timeframe channel detection system - Signal arrow logic (OS/OB crosses) - Background coloring system - Pine Script v5 conversion with proper variable scoping - Combined dual-oscillator panel design The integration of these components into a unified hybrid momentum system, along with the DMI Stochastic and MTF features, represents original work by BFAS76. ═══════════════════════════════════════════ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Oscillator signals should be confirmed with price action and other analysis methods. Always use proper risk management.
Indicador Pine Script®
por BFAS76