지금 시작

오실레이터

RSI Divergence Pro Price Overlay High-Prob v6RSI Divergence Pro — Comprehensive Usage Guide 1) What This Indicator Does (in plain English) Goal: Detect high-probability reversal (and optionally continuation) points using RSI divergences, then draw clean visual lines on price (red/bearish, green/bullish) and attach a % Strength label to help you quickly decide if it’s worth trading. Core logic: • Finds confirmed peaks and valleys using ta.pivothigh and ta.pivotlow. • Bearish: Price makes Higher High while RSI makes Lower High. • Bullish: Price makes Lower Low while RSI makes Higher Low. • Filters for high probability: RSI near OB/OS, min RSI diff, ATR scaling, pivot spacing. • Draws lines on price chart and attaches % Strength label. • Alerts trigger only when a new divergence line is drawn. 2) Inputs & What Each One Means • RSI Period: Shorter = more reactive; longer = smoother. • Pivot Left/Right: Controls peak/valley confirmation. • RSI Overbought/Oversold: Default 60/40; tighten for lower TFs. • Min RSI Divergence: Minimum difference between RSI pivots. • ATR Length & Min Price Move vs ATR: Ensures structural change. • Bars Between Pivots: Avoid micro noise and stale signals. • Hidden Divergence toggle: OFF for reversal; ON for continuation. 3) The % Strength Label — What It Represents Combines RSI divergence magnitude (60%), Price move vs ATR (30%), OB/OS proximity (10%). Interpretation: • 80–100%: A-grade signals. • 60–79%: Good, tradable with confirmation. • 40–59%: Caution. • <40%: Usually skip. 4) High-Probability Trading Workflow (H1) 1. Step 1: Scan & identify the signal. 2. Step 2: Confirm with price action (structure break or engulfing). 3. Step 3: Entry (conservative or aggressive). 4. Step 4: Stop placement (pivot ±0.5×ATR). 5. Step 5: Take profit & management (TP1 1×ATR, TP2 2×ATR, trail). 5) Confluence & Filters • EMA slope confirmation. • Structure alignment with S/R zones. • Volatility regime check. 6) Example Scenarios • A) Bearish Classic Divergence: HH price + LH RSI, Strength 83%. • B) Bullish Classic Divergence: LL price + HL RSI, Strength 68%. • C) Hidden Bullish Divergence: HL price + LL RSI, Strength 75%. 7) Common Pitfalls & How to Avoid Them • Forcing signals in dead volatility. • Taking divergences in strong trends without confirmation. • Ignoring pivot spacing. 8) Tuning for Your Style • H1 defaults: RSI 10, pivots 5/5, thresholds 60/40. • M15/M5: thresholds 65/35, min RSI diff 10–12. • H4/D1: thresholds 58/42, ATR multiple 0.4–0.6. 9) Multi-Asset Notes • FX majors: overlap session ideal. • Indices: require engulfing confirmation. • Crypto: use ATR multiple ≥0.7. 10) Alerts — How to Use Them • Set alerts Once per bar close. • Alert names: Bearish RSI Divergence, Bullish RSI Divergence. 11) Backtesting & Forward Testing • Define rules: entry, stop, TP. • Track Strength % bins. 12) Troubleshooting & Diagnostics • No lines? Loosen thresholds. • Too many lines? Tighten thresholds. 13) Quick Operator’s Checklist • Signal present? • Location near S/R? • Confirmation present? 14) Future Upgrade Options • Session filter (London–NY overlap). • EMA slope confirmation. • Structure-break confirmation. • Alert text enhancements.
Pine Script® 인디케이터
DayTraderz365의
2
S&P 500 Momentum Coiling Tracker [20/200 MA]This indicator measures the absolute point distance between the 20-period SMA and the 200-period SMA, specifically optimized for the S&P 500 (ES/MES) index. In the style of institutional trend following, it identifies the "Narrow State"—a period of low volatility where a major breakout is imminent. How to read the Histogram: 🟢 GREEN (< 8 pts): Ultra-Narrow/Coiled State. Stored energy is high. Watch for an explosive breakout. 🟡 YELLOW (8-15 pts): Narrow/Transition. The averages are converging or just starting to fan out. ⚪ GRAY (15-30 pts): Neutral trending zone. 🔴 RED (> 30 pts): Extended State. Price is stretched far from the long-term mean; avoid chasing the move.
Pine Script® 인디케이터
lothodl56의
Simple RSI Strategy - Rule Based Higher Timeframe Trading HOW IT WORKS With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 . That’s it. A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage. Core logic: Long when RSI moves into oversold territory Exit when RSI mean-reverts upward Optional short trades from overbought levels One position at a time (no pyramiding) No filters. No discretion. Just clear, testable rules. MARKETS & TIMEFRAMES This strategy is intended for: Indices (Nasdaq, S&P 500, DAX, etc.) Liquid futures and CFDs Higher timeframes: 2H, 4H and Daily The published example is Nasdaq (NDX) on the 2-hour timeframe . Higher timeframes are strongly recommended. HOW TO USE IT Apply the strategy on a higher timeframe Adjust RSI levels per market if needed Use TradingView alerts to avoid constant screen-watching Focus on execution, risk control, and consistency This strategy is meant to be a building block , not a complete trading business on its own. For long-term consistency, it works best when combined with other uncorrelated, rule-based systems. IMPORTANT This is not financial advice All results are historical and not indicative of future performance Always forward-test and apply proper risk management For additional notes, setups and related systems, visit my TradingView profile page .
Pine Script™ 전략
EdgeLab의
4
DERYA Dynamic Efficiency Regime Yield AnalyzerDERYA: Dynamic Efficiency Regime Yield Analyzer Mathematical Concept and Problem Statement Most traditional trend and momentum indicators (e.g., RSI, ADX, MACD) focus on price displacement across a series of bars. However, they are mathematically "blind" to the internal structure of each individual bar. The DERYA indicator solves the "Velocity Trap" and "Lagging Confirmation" issues by shifting the measurement space from price displacement to intrabar efficiency. It quantifies the ratio between net price progress and the total effort (range) expended within the bar. Logic and Components The script does not reuse any existing open-source library logic; the methodology is derived from original research. However, it utilizes standard built-in Pine Script functions for structural stabilization: Efficiency Metaphor: The core logic calculates a proxy for microstructural health using the formula |Close - Close | / (High - Low). Use of Exponential Moving Average (EMA): A standard ta.ema is applied to the raw efficiency data. Reason for use: Raw microstructural data is inherently noisy due to high-frequency fluctuations. The EMA is used here specifically as a low-pass filter to extract the underlying structural trend of efficiency without the overhead of more complex digital filters. Use of Min-Max Normalization: The script utilizes ta.highest and ta.lowest over a lookback period. Reason for use: To convert an absolute efficiency metric into a bounded state variable (0-100). This ensures the indicator is adaptive to different volatility regimes, preventing the signal from becoming obsolete as market conditions change. Interpretation Expansion Regime (>60): Indicates a high-efficiency environment where price movement is achieved with minimal internal friction. Collapse Regime (<40): Indicates a structural deterioration where price effort (range) significantly outweighs price progress (displacement), often signaling an imminent trend break. Visual Integration: The script includes a barcolor feature that highlights bars where DERYA falls below 30, visually flagging points of extreme structural inefficiency directly on the price chart. Compliance Note This script is an original implementation of the DERYA methodology. It does not contain "copy-pasted" code from other public indicators. Standard functions (ta.ema, ta.highest, ta.lowest) are used only for their intended mathematical smoothing and normalization purposes as described above. Scientific Documentation & Research Paper This implementation is based on the following published research: Title: DERYA: Dynamic Efficiency Regime Yield Analyzer - A New Microstructural State Variable for Financial Markets Published on: Zenodo (CERN) zenodo.org DOI: 10.5281/zenodo.18181902 Author: Bülent Duman (Independent Researcher) Copyright: (C) 2026 Bülent Duman
Pine Script® 인디케이터
blntduman의
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator Multi-timeframe × multi-gamma Laguerre breadth model ──────────────────────── Usage Notes ──────────────────────── • This is a regime & consensus indicator, not a trigger • Best used for trend validation and risk filtering • Extreme values tend to persist during strong regimes This indicator answers a single question: “Out of 198 independent Laguerre filters, how many are currently rising?” ──────────────────────── Concept ──────────────────────── Using Laguerre polynomials, we aggregate price behavior across: • 11 explicit timeframes (1-minute → 1-day) • 18 gamma responsiveness levels (0.10 → 0.95) This produces 198 independent Laguerre curves. The final oscillator is NOT price. It represents a directional consensus across timescales and smoothing sensitivities. ──────────────────────── Laguerre Filter Mathematics ──────────────────────── For each Laguerre line i: L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1) L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1) L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1) L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1) Smoothed output: Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6 This weighted sum smooths noise while preserving phase better than a traditional EMA. ──────────────────────── Gamma Responsiveness ──────────────────────── Gamma controls responsiveness vs stability: 0.10 — Very fast, noisy 0.40 — Momentum-sensitive 0.70 — Trend-stable 0.95 — Very slow, structural Each timeframe is evaluated across all gamma levels. ──────────────────────── Timeframes Used (11) ──────────────────────── Minutes: 1, 3, 5, 10, 15, 30, 45 Hours: 1, 2, 4 Days: 1 ──────────────────────── Direction Test ──────────────────────── Each Laguerre line votes “up” or “down”: Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1) Iᵢ(t) = 0 otherwise ──────────────────────── Breadth Calculation ──────────────────────── greenCount(t) = I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t) Total number of rising Laguerre filters. ──────────────────────── Centered Breadth Oscillator ──────────────────────── oscRaw(t) = greenCount(t) − 99 (99 = half of 198; zero represents balanced breadth) ──────────────────────── Smoothing & Amplification ──────────────────────── EMA smoothing: oscSmooth(t) = EMA₁₀₀(oscRaw) Extreme emphasis: oscExtreme(t) = 2 · oscSmooth(t) ──────────────────────── Clamped Final Output ──────────────────────── osc(t) = max( −99 , min( 99 , oscExtreme(t) ) ) Range: • −99 → all filters falling • 0 → mixed / neutral • +99 → all filters rising ──────────────────────── Optional Probabilistic Interpretation ──────────────────────── p(t) = greenCount(t) / 198 Interpretable as the probability of upward directional alignment. Reach out on Discord if you need further guidance. - Coño Vista
Pine Script® 인디케이터
Jysun의
GCM Heikin Ashi RSI Trend CloudTitle: GCM Heikin Ashi RSI Trend Cloud Description: Overview The GCM Heikin Ashi RSI Trend Cloud is a comprehensive momentum oscillator designed to filter out market noise and visualize trend strength. Unlike a standard RSI which can be jagged and difficult to interpret during consolidation, this indicator transforms RSI data into Heikin Ashi candles, providing a smoother, clearer view of market momentum. This tool combines the lag-reducing benefits of RSI with the trend-visualizing power of Heikin Ashi, layered with Multi-Timeframe (HTF) clouds to identify macro trends. Calculations & How it Works This indicator does not use standard price action for its candles. Instead, it performs the following calculations: • HARSI Candles: We calculate the RSI of the Open, High, Low, and Close of the chart. These four RSI values are then processed through the standard Heikin Ashi formula. This means the candles represent momentum movement, not price movement. • Smoothing: A smoothing algorithm is applied to the "Open" of the HARSI candles (Default: 5). This reduces fake-outs by biasing the candle open toward the previous average, highlighting the true trend direction. • Trend Bias Mode: A unique visual feature that adjusts the thickness of the RSI line based on your trading style. o Buyers Mode: The line thickens when RSI is rising, thinning out when falling. o Sellers Mode: The line thickens when RSI is falling, thinning out when rising. • Ribbon Clouds: The script pulls RSI data from Higher Timeframes (HTF) and creates a cloud between the current chart's RSI and the HTF RSI. If the current RSI is above the HTF RSI, the cloud is bullish (Green), otherwise bearish (Red). Key Features • Derived Heikin Ashi RSI: Smooths out the noise of standard RSI to show clear red/green trends. • Dynamic Trend Bias: Customize the main RSI line to emphasize Bullish or Bearish momentum using line weight. • Auto-HTF Clouds: Automatically detects higher timeframes (e.g., 1m chart -> 3m cloud) to show support/resistance momentum from the macro trend. • OB/OS Zones: Clearly defined Overbought and Oversold channels with "Extreme" outlier zones. How to Use 1. Trend Continuation: Look for the HARSI candles to change color. A switch from Red to Green, while the Ribbon Cloud is also Green, indicates a strong bullish continuation. 2. Divergence: Because the candles are based on RSI, you can look for divergences between the HARSI candle peaks and the actual price action on the main chart. 3. The Cloud: Use the cloud as dynamic support. In a strong uptrend, the RSI line often bounces off the HTF Cloud without breaking through it. Settings • HARSI Length (Default 10): The lookback period for the RSI calculation. • Smoothing (Default 5): Higher values create smoother candles but add lag. Lower values are more reactive. Trend Bias Mode: Choose "Neutral" for a standard line, or "Buyers/Sellers" to visually emphasize your preferred market direction.
Pine Script® 인디케이터
uniGram의
15
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades. The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow. The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing. The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only. Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance. The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious. For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition. Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO. The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
Pine Script® 인디케이터
ChaosTrader63의
7
VIXO - VIX OscillatorVIXO (VIX Oscillator) is a volatility oscillator built from the CBOE Volatility Index (symbol: TVC:VIX). It helps visualize volatility regime shifts by combining a smoothed VIX RSI with a normalized VIX momentum component, plus a VIX histogram that becomes more/less prominent depending on how far VIX is from its moving average. It helps you assess whether market conditions may be approaching rare but powerful squeeze phases. WHAT THIS INDICATOR PLOTS 1) VIX RSI (cyan line) - RSI is calculated on the VIX close and then smoothed (SMA) to reduce noise. - Use it to observe short-term momentum in volatility rather than price. 2) VIX Normalized Momentum (gray line) - Momentum is measured as ROC (rate of change) of the VIX close. - That ROC is normalized to a 0–100 scale using a rolling lookback window: - 50 is the midpoint of the recent momentum range (neutral within the selected window). - Values near 0/100 indicate momentum near the low/high of that lookback window. 3) VIX Value Bars (histogram) - Histogram shows the raw VIX value. - Bar visibility is dynamically adjusted (transparency changes) based on the ratio of VIX to its 21-period SMA: - When VIX is close to its MA, bars are more transparent. - When VIX deviates more from its MA (within a capped range), bars become more visible. - If VIX High is below 30, the script intentionally keeps bars fully transparent to reduce visual clutter. LEVELS (REFERENCE ONLY) The horizontal levels are visual guides to help segment oscillator zones. They are not guarantees and should not be treated as standalone trade signals: - 80: “Panic of Market” - 60: “VIX says BUY” (label only; not financial advice) - 50: “Neutral / Momentum Mid” - 40: “Get Ready” HOW TO USE - Apply VIXO to any chart. The indicator always pulls TVC:VIX data, regardless of the chart symbol. - Typical interpretation: - Rising VIX RSI and/or rising normalized momentum can indicate increasing volatility pressure. - Falling readings can indicate volatility easing. - Compare changes in VIXO with your chart’s price structure, trend filters, or risk management framework. INPUTS - RSI Length: RSI period on VIX close (smoothed afterward). - Momentum Length: ROC period on VIX close. - Momentum Normalization Lookback: window used to scale ROC into 0–100. DATA & BEHAVIOR NOTES - Data source: request.security("TVC:VIX", timeframe.period, OHLC). - The script does not use lookahead to access future data. - On realtime bars, values can update while the current bar is forming; historical bars remain fixed once closed. - Availability of TVC:VIX data depends on your TradingView data access. IMPORTANT DISCLAIMER This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. It does not predict the future, does not guarantee results, and should not be used as the sole basis for any trading decision. Always validate signals with additional analysis and use appropriate risk management.
Pine Script® 인디케이터
emreiletrade의
Multi-timeframe RSI & Stochastic dashboard with visual gradient █ OVERVIEW The MTF RSI + Stochastic Dashboard displays RSI and Stochastic values across 6 customizable timeframes in a compact, visual format. Instead of switching between charts or opening multiple indicator windows, see all your momentum data at a glance. This indicator combines two of the most popular oscillators (RSI and Stochastic) and shows you where they agree—and where they don't. █ FEATURES - 6 Customizable Timeframes — Default: 1m, 5m, 15m, 1H, 4H, Daily (fully adjustable) - Combined RSI + Stochastic Signal — Shows agreement between both indicators - Visual Gradient Meters — Left side = Stochastic, Right side = RSI - Color-Coded Status — OB (Overbought), OS (Oversold), Bull, Bear, S.Bull (Strong Bull), S.Bear (Strong Bear), Mixed - Overall Trend Bias Bar — Shows percentage of timeframes bullish vs bearish - Built-in Alerts — Trigger when all timeframes align or reach 80%+ agreement - Fully Customizable — Colors, position, scale, spacing all adjustable █ HOW TO READ IT ROW 1 - TIMEFRAME Shows which timeframe each column represents. ROW 2 - COMBINED VALUE The average of RSI and Stochastic for that timeframe. Color indicates the current state. ROW 3 - STATUS - OB = Both RSI and Stochastic overbought (>70/80) - OS = Both RSI and Stochastic oversold (<30/20) - Bull = Both indicators bullish (>50) - Bear = Both indicators bearish (<50) - S.Bull = Strong bullish (one OB, one Bull) - S.Bear = Strong bearish (one OS, one Bear) - Mixed = Indicators disagree ROW 4 - GRADIENT METERS Visual representation of RSI (right half) and Stochastic (left half) levels. - Purple/Magenta = Overbought zone - Green = Bullish zone - Yellow/Orange = Neutral zone - Red = Bearish zone - Cyan = Oversold zone BOTTOM BAR - TREND BIAS Shows overall market bias based on all 6 timeframes. - STRONG BULL = 70%+ timeframes bullish - BULL = 55%+ timeframes bullish - STRONG BEAR = 70%+ timeframes bearish - BEAR = 55%+ timeframes bearish - MIXED = No clear direction █ HOW TO USE IT CONFLUENCE TRADING Look for multiple timeframes showing the same status. When 4+ timeframes agree, the signal is stronger. DIVERGENCE SPOTTING If lower timeframes show bearish while higher timeframes show bullish, price may be pulling back in an uptrend—potential buy opportunity. OVERBOUGHT/OVERSOLD EXTREMES When multiple timeframes hit OB or OS together, watch for potential reversals. TREND CONFIRMATION Use the bias bar to confirm your directional bias before entering trades. █ SETTINGS RSI Settings - Length, Source, OB/OS levels Stochastic Settings - %K Length, %K Smoothing, %D Smoothing - Choose to display %K or %D - OB/OS/Mid/Zero levels Timeframes - 6 fully customizable slots Layout - Position offset, scale, box sizing, spacing Colors - Full control over all visual elements █ ALERTS - All Timeframes Bullish — Triggers when all 6 show bullish - All Timeframes Bearish — Triggers when all 6 show bearish - Strong Bullish Alignment — Triggers at 80%+ bullish - Strong Bearish Alignment — Triggers at 80%+ bearish █ BEST WAY TO DISPLAY THIS INDICATOR For optimal viewing, follow these steps: 1. ADD THE INDICATOR • Keep all settings at default — they're optimized for immediate use 2. SCALE YOUR CHART • Right-click on the price scale (right side of chart) • Select "Reset Price Scale" or double-click the price scale • Use your mouse scroll wheel on the price scale to zoom OUT vertically • This enlarges the indicator relative to the price action 3. POSITION ADJUSTMENT (if needed) • Vertical Offset: Increase if indicator overlaps candles • Horizontal Offset: Move left/right to your preference • Overall Scale Size: Increase for larger display (default 2.0) 4. CHART SHIFT (recommended) • Enable "Shift Chart" at the bottom-right of TradingView • This gives the indicator room on the right side of your chart PRO TIP: The indicator scales with your visible price range. Zoom out on the price scale (not the time scale) to make the dashboard larger and easier to read. █ NOTES - Non-repainting: Uses confirmed bar data for calculations - Overlay indicator: Displays directly on your price chart - Compatible with all markets and timeframes - Free to use — part of the XRayTrade indicator collection █ CREDITS Developed by XRayTrade
Pine Script® 인디케이터
XrayTrade_com의
BTC vs GOLD Macro RotationBTC vs GOLD Macro Rotation Indicator BTC vs GOLD Macro Rotation Model This indicator is a macroeconomic rotation model that compares the relative attractiveness of Bitcoin (BTC) versus Gold (GOLD) based on multiple fundamental macro factors. How does it work? The model analyzes weekly data from various macroeconomic indicators and generates a score for each asset. The taller bar indicates the preferred asset to rotate capital into. - Green bars (above zero): BTC strength - Yellow bars (below zero):GOLD strength - Info table:Shows exact percentages and rotation recommendation Macroeconomic Factors Analyzed: 1. DXY (US Dollar Index) - Strong dollar → Favors GOLD - Weak dollar → Favors BTC 2. Oil (WTI Crude) - Oil rising → Favors GOLD - Oil falling → Favors BTC 3. Copper - Copper rising → Favors BTC (risk-on) - Copper falling → Favors GOLD (risk-off) 4. Real Rates (Fed Funds - YoY Inflation) - Real rates falling → Favors GOLD - Real rates rising → Favors BTC 5. Fertilizer/Natural Gas Regime (Urea, Ammonia, Natural Gas)** - Specific combinations of movements in these commodities generate inflationary/deflationary regime signals Fertilizer Rules:** | Urea | Ammonia | Gas | Signal | |------|---------|-----|--------| | ↑ | ↑ | ↓ | GOLD +2 | | ↑ | ↑ | ↑ | GOLD +3, BTC -1 | | ↓ | ↓ | ↓ | BTC +3, GOLD -1 | | ↑ | ↓ | ↓ | BTC +3 | | ↓ | ↑ | ↑ | GOLD +3, BTC -1 | Technical Features: - Operates on weekly timeframe regardless of chart - Normalized changes for signal stability - Configurable EMA smoothing - Safe handling of invalid symbols (won't break if a ticker doesn't exist) - All tickers are user-editable Configurable Inputs: - Symbols for all assets (BTC, GOLD, DXY, Oil, Copper, CPI, Fed Funds, Gas, Urea, Ammonia) - Individual weights for each macro component - Normalization length - EMA smoothing Interpretation:** - **BTC dominant (taller green):** Macro conditions favor risk/digital assets - **GOLD dominant (taller yellow):** Macro conditions favor safe-haven/tangible assets This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research before making investment decisions. Recommended Timeframe: Weekly (W) or Daily (D)
Pine Script® 인디케이터
Teomariscal의
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar. Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook. The "Reverse Engineering" Concept Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD. Q: "At what price will the MACD line cross the Signal line?" A: The script solves this and draws the Green/Red "Crossover" Line. Key Features 1. Three Distinct Targets Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle. Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN. Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse. Zero Cross Target: The price needed for MACD to reclaim the Zero Line. 2. Smart "Staggered" Labels (No Overlap) Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally. Crossover info stays near the price. Settlement info is shifted to the right. Zero info is shifted further right. Result: You can read all three targets clearly, even if the prices are almost identical. 3. Full Customization Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean. Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes. Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type. How to Use The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross. Momentum Checks: Watch the Orange "Settlement" Line. If price is moving away from the Orange line, the trend is accelerating (Safe to hold). If price touches the Orange line, momentum has died (Consider taking profit). Settings Visual Settings: Change Line Length (Infinite/Short) and Text Color. MACD Settings: Standard inputs (Default 12, 26, 9). Toggles: Option to show/hide the Zero Line target.
Pine Script® 인디케이터
PratikKharat1990의
Trend Force Index (HTF Momentum)📌 Description Trend Force Index • HTF Momentum (TFI-HTF) is a market context and trend-strength indicator designed to help traders understand directional force, momentum quality, and higher-timeframe bias. This tool measures directional impulse and trend pressure using a dual-average force model, normalized by volatility. Instead of producing buy or sell signals, it focuses on how strong a move is, which side controls the market, and whether price is in a trending or compressing state. 🔍 What This Indicator Shows Directional Force: Identifies bullish, bearish, and neutral force zones Momentum Quality: Differentiates strong trends from weak or fading moves Compression Zones: Highlights low-force environments where trades are often lower quality Higher-Timeframe Context (HTF): Displays directional bias from a higher timeframe for alignment Volatility Normalization: Adapts to changing market conditions using ATR 🧭 How to Use Use force direction to confirm price action or structure-based setups Trade in alignment with HTF bias for higher-probability context Avoid entries during compression / low-force zones Best used alongside price action, market structure, VWAP, or support & resistance 🎛 UI Presets PRO Mode: Clean, subdued visuals for experienced traders BEGINNER Mode: Higher contrast visuals for easier interpretation ⚠️ Important Notes This indicator does NOT generate buy or sell signals.It is intended for analysis, confirmation, and market context only. Always combine with your own trading plan and risk management ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only.It does not constitute financial advice or trade recommendations.All trading decisions and associated risks remain the sole responsibility of the user.Past market behavior does not guarantee future results.
Pine Script® 인디케이터
Market_Logic_India의
Stacked 3 Stochastics [Wonniewant]Stacked 3 Stochastics This indicator is designed for traders who need multi-timeframe momentum analysis in a single, compact view. Instead of cluttering your screen with three separate oscillator panes, this script stacks three Stochastic Oscillators vertically within one panel using an offset technique. It provides a clear hierarchy of market momentum, from slow trends to fast execution signals, without overlapping lines. Key Features: Triple Layered View (Stacked): Top Layer (Slow): Default 20-12-12. Best for identifying major trend direction and reversals. Middle Layer (Medium): Default 10-6-6. Acts as a bridge between the trend and entry signals. Bottom Layer (Fast): Default 5-3-3. Ideal for pinpointing precise entry and exit timing. Clean Visualization: Each Stochastic has its own dedicated zone (0-100, 125-225, 250-350), so the lines never get messy or confused. Reference Lines: Clearly marked 80 (Overbought) and 20 (Oversold) levels for each individual layer directly on the chart. Separators: Distinct white lines separate the layers for better readability. Full Customization: Toggle visibility for any layer. Customize K & D Lengths, Smoothness, Colors, and Line Widths for each Stochastic independently via the settings menu. How to Use: Top Layer (Slow): Watch for crosses in the overbought/oversold zones to gauge the overall market sentiment. Bottom Layer (Fast): Use for short-term trade execution when aligned with the upper layers. Divergence: Compare the three layers to spot momentum divergence across different time horizons. Author: Wonniewant
Pine Script® 인디케이터
WoonieWant의
1
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants. ✨ Originality and Utility Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics. 🔬 Methodology The underlying calculation of the SMFO relies on several distinct quantitative layers: • Efficiency Analysis The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average. If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient." If significant volume occurs with little price movement (churn/absorption), the efficiency score drops. This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data. • Momentum Thresholding Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator. • Variable Flow Calculation If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier. Bullish Flow: Strong upward movement adds to the positive delta. Bearish Flow: Strong downward movement adds to the negative delta. Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation. • Calculation Modes Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum. In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions. 📖 How to Use Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals: • Signal Line Crossovers The indicator plots the main Flow line (colored gradient) and a Signal line (grey). Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement. Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure. • Divergences The script automatically detects and plots divergences between price and the oscillator: Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low). Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low). "R" labels denote Regular, and "H" labels denote Hidden divergences. • Dashboard A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status. • In/Out Ratio Levels When using the Ratio mode: Values above 50 indicate net buying pressure. Values below 50 indicate net selling pressure. Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion. ⚙️ Inputs and Settings Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus). Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly). Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled. Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline. Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles. Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move. Show Dashboard/Divergences: Toggles for visual elements. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks: • 1. The Amihud Illiquidity Ratio (2002) The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control. • 2. Kyle’s Lambda (1985) & Market Depth Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity. • 3. Wyckoff’s Law of Effort vs. Result From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals. • 4. Quantitative Advantage: Efficiency-Weighted Volume Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® 인디케이터
MarkitTick의
9
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management. The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality. Entry Logic A long entry triggers when ALL of the following conditions are true: 1. EMA Stack (Trend Structure) Price > EMA 20 > EMA 50 > EMA 200 This "stacked" alignment indicates a strong established uptrend 2. RSI Filter (Momentum Window) RSI between 45-75 (default) Confirms momentum without entering overbought territory 3. ADX Filter (Trend Strength) ADX > 20 (default) Ensures the trend has sufficient strength, not a ranging market 4. MACD Confirmation MACD line above signal line Histogram increasing (momentum accelerating) 5. Directional Movement +DI > -DI Confirms bullish directional pressure Exit Logic Positions are managed with ATR-based levels: ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry The default configuration produces a 1:2.4 risk-reward ratio. Presets The strategy includes optimized presets based on historical testing: PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control Select "Custom" to adjust all parameters manually. Inputs Explained EMAs Fast EMA (20): Short-term trend Slow EMA (50): Medium-term trend Trend EMA (200): Long-term trend filter RSI Length: Lookback period (default 14) Min/Max: Entry window to avoid extremes ADX Min ADX: Minimum trend strength threshold Risk Stop Loss ATR: Multiplier for stop distance Take Profit ATR: Multiplier for target distance Trail ATR: Trailing stop distance (if enabled) Session (Optional) Filter entries by time of day Recommended OFF for 3H+ timeframes What's Displayed Info Panel (Top Right) Current preset Trend status (Strong/Wait) ADX, RSI, MACD readings Position status Risk-reward ratio Stats Panel (Top Left) Net P&L % Total trades Win rate Profit factor Maximum drawdown Chart EMA lines (20 blue, 50 orange, 200 purple) Green background during strong uptrend Triangle markers on entry signals Important Notes ⚠️ This is a long-only strategy. It does not take short positions. ⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods. ⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential. ⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions. Best Practices Test on your specific market — Results vary significantly across different instruments Use appropriate position sizing — Never risk more than you can afford to lose Combine with your own analysis — No indicator replaces understanding market context Paper trade first — Validate the strategy matches your trading style before risking capital Alerts Two alerts are available: MDZ Long Entry: Fires when all entry conditions are met Uptrend Started: Fires when EMA stack first aligns bullish Methodology This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals. The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions. Questions? Leave a comment below.
Pine Script™ 전략
VolForge의
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks). Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h). The Concept: "Angle Settlement" Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen: Steep Angle: Momentum is accelerating. (Strong Trend) Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent) Dashboard Columns Explained TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h"). Zone: > 0 (Green): MACD is above the Zero Line (Bullish Trend context). < 0 (Red): MACD is below the Zero Line (Bearish Trend context). Cross: PCO (Green): Positive Crossover (MACD > Signal). NCO (Red): Negative Crossover (MACD < Signal). Deg (°): The calculated mathematical angle of the MACD line. Positive (+): Momentum is rising. Negative (-): Momentum is falling. State (The Strategy): STEEP (Bright Color): The angle is increasing. Do not trade against this momentum. SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover. Settings & Customization Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D"). MACD Lengths: Fully customizable (Default 12, 26, 9). Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
Pine Script® 인디케이터
PratikKharat1990의
Premium Money Flow Oscillator [NeuraAlgo]Premium Money Flow Oscillator (PMFO) — NeuraAlgo The Premium Money Flow Oscillator (PMFO) is an advanced volume-weighted momentum engine designed to reveal true capital flow, not just price movement. It combines multi-layer smoothing, zero-lag correction, and dynamic normalization to deliver a clean, responsive, and noise-resistant money flow signal suitable for both scalping and swing trading. Unlike traditional oscillators, PMFO focuses on pressure behind price — showing when smart money accumulation or distribution is actively occurring. 🔹 Core Features Volume-Weighted Money Flow Measures real buying and selling pressure using price displacement × volume. Filters out weak price moves with low participation. Multi-Layer Smoothing Engine EMA + SMA hybrid base smoothing Gaussian noise reduction Zero-Lag correction Deep & Super smoothing layers → Result: ultra-smooth yet fast reaction to momentum shifts. Dynamic Normalization Automatically adapts to volatility. Keeps signals consistent across all markets and timeframes. 🔹 Smart Zones & Visual Intelligence Dynamic Overbought / Oversold Zones Zones strengthen visually as momentum increases. Strong zones highlight extreme institutional pressure. Adaptive Gradient Coloring Color intensity reflects money flow strength. Instantly see dominance without reading numbers. Background Pulse Subtle market bias feedback (bullish / bearish pressure). 🔹 Multi-Timeframe Confirmation Optional Higher Timeframe Money Flow Confirmation Align lower-timeframe entries with higher-timeframe capital direction. Ideal for trend validation and false-signal reduction. 🔹 Professional Dashboard Live Money Flow Value Market Flow State Strength Percentage MTF Trend Bias Institutional-style status readout designed for quick decision making. 🔹 Best Use Cases ✔ Trend confirmation ✔ Momentum continuation entries ✔ Reversal exhaustion detection ✔ Divergence analysis ✔ Smart money flow tracking ⚠️ Notes PMFO works best when combined with price structure, support/resistance, or trend context. Extreme readings indicate pressure, not immediate reversal — always wait for confirmation. Designed for traders who want clarity, not clutter. Built for precision, not lag.
Pine Script® 인디케이터
NeuraAlgo의
Zenith MACD Evolution [JOAT] Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator Introduction and Purpose Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one. This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions. Why ATR Normalization Works Traditional MACD problems: - Values vary wildly based on price and volatility - No consistent overbought/oversold levels - Hard to compare across different instruments - Extreme readings in one period may be normal in another ATR-normalized MACD (Zenith) solves these: - Values scaled to consistent range - Fixed overbought/oversold levels work across all conditions - Comparable across different instruments - Extreme readings are truly extreme regardless of volatility How the Normalization Works // Classic MACD = ta.macd(close, fastLength, slowLength, signalLength) // ATR for normalization float atrValue = ta.atr(atrNormLength) // Volatility-Normalized MACD float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0 float zenithSignal = ta.ema(zenithMACD, signalLength) The result is a MACD that typically ranges from -200 to +200, with consistent levels: - Above +150 = Overbought - Below -150 = Oversold - Above +200 = Extreme overbought - Below -200 = Extreme oversold Signal Types Zero Cross Up/Down - Zenith crosses zero line (trend change) Overbought/Oversold Entry - Zenith enters extreme zones Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal) Momentum Shift - Histogram direction changes (early warning) Divergence - Price makes new high/low but Zenith does not Histogram Coloring The histogram uses four colors to show momentum state: - Strong Bull (Teal) - Positive and rising - Weak Bull (Light Teal) - Positive but falling - Strong Bear (Red) - Negative and falling - Weak Bear (Light Red) - Negative but rising This helps identify momentum shifts before crossovers occur. Dashboard Information Zenith - Current normalized MACD value with signal line Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS) Momentum - Direction (RISING/FALLING/FLAT) Histogram - Current histogram value ATR Norm - Current ATR value used for normalization Classic - Traditional MACD value for reference How to Use This Indicator For Mean-Reversion: 1. Wait for Zenith to reach extreme zones (+200/-200) 2. Look for momentum shift (histogram color change) 3. Enter counter-trend when exiting extreme zone For Trend Following: 1. Enter long on zero cross up 2. Enter short on zero cross down 3. Use histogram color to gauge momentum strength For Divergence Trading: 1. Watch for DIV labels (price vs Zenith divergence) 2. Bullish divergence at support = potential long 3. Bearish divergence at resistance = potential short Input Parameters Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters ATR Normalization Period (26) - Period for ATR calculation Overbought/Oversold Zone (150/-150) - Zone thresholds Extreme Level (200) - Extreme threshold Show Classic MACD Lines (false) - Toggle traditional lines Show Divergence Detection (true) - Toggle divergence signals Divergence Lookback (14) - Bars to scan for divergence Timeframe Recommendations All timeframes work due to normalization Higher timeframes provide smoother signals Normalization makes cross-timeframe comparison meaningful Limitations ATR normalization adds slight lag Divergence detection is simplified Extreme zones can persist in strong trends Works best when combined with price action analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script® 인디케이터
officialjackofalltrades의
Strength Relative to XXX [Hysteresis Smoothed]Strength Relative to XXX █ OVERVIEW This versatile indicator measures the relative strength of the current charted asset against any user-selected benchmark symbol (e.g., BTC, ETH, SP:SPX, TVC:GOLD, or any other asset). Green fill = Current asset outperforming the benchmark (bullish relative strength). Red fill = Current asset underperforming the benchmark (bearish relative weakness). Perfect for rotation strategies across crypto, stocks, forex, and commodities — quickly identify assets gaining momentum edge over a chosen benchmark. █ HOW IT WORKS • Relative Ratio : Calculates current close / benchmark close for normalized comparison. • Smoothing : Applies a Simple Moving Average (SMA) to the ratio (adjustable length). • Oscillator : Plots deviation from the SMA, centered around zero. • Hysteresis Enhancement : Adds a small relative threshold (~0.03% default) to prevent rapid color flips from minor noise. Color persists until a convincing cross — stable blocks without lag. █ FEATURES & INPUTS • Compare to : Symbol input for any benchmark (match exchange for accuracy). • MA Length : Smoothing period (default 10). • Relative Hysteresis Threshold : Noise filter strength (default 0.0003; tweak for responsiveness vs. stability). █ USAGE TIPS • Apply to ALT/BTC pairs for crypto rotations, stocks vs. SP:SPX for sector strength, or any custom comparison. • Works on all timeframes — ideal for short-term scans on 4H/daily. • Green zones = potential outperformance; red = caution. • Combine with volume or momentum for confluence. This refined relative strength oscillator delivers clean, reliable visuals in volatile markets.
Pine Script® 인디케이터
ThroatClogger의
Volume-Weighted RSI [VWRSI 2D Pro]A modular, volume-weighted RSI indicator built for clarity and control. ✅ Profile-based auto modes (Scalping → Macro) ✅ Toggleable Buy/Sell signals with strict mode ✅ RSI MA overlays for smoother entries Buy Signal RSI crosses above RSI MA RSI > 50 (or > 55 in strict mode) Sell Signal RSI crosses below RSI MA RSI < 50 (or < 45 in strict mode) Strict mode filters out weak signals for higher conviction entries. Volatility-Adaptive RSI Thresholds: Traditional RSI uses static levels (70/30). VWRSI Pro replaces these with dynamic bands: 🔹dynHigh = mean + mult × deviation 🔹 dynLow = mean − mult × deviation Technical write-up can be found here: github.com
Pine Script® 인디케이터
followmytradingjournal의
Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard. 🔍 How It Works The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously. 1. The Trend Scoring Engine The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes. Bullish Alignment: Fast EMA > Slow EMA. Bearish Alignment: Fast EMA < Slow EMA. 2. The Harmony Summary At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market: 🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend. 📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend. ⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade. Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish). 🛠 Key Features Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once. Dynamic Table: Real-time tracking of: Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages. Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise. Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy. 📈 Trading Strategy Tips Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red. The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again. RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent.
Pine Script® 인디케이터
ebecihalil의
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System Introduction and Purpose Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening. This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades. Why These Components Work Together Each component measures trend from a different perspective: 1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance. 2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum. 3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through. 4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation. 5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction. How the Trend Score Works float trendScore = 0.0 // Cloud position (+2/-2) trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0 // TK relationship (+1/-1) trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0 // Lagging span (+1/-1) trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0 // Vortex (+1.5/-1.5) trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0 // Base direction (+0.5/-0.5) trendScore += baseDirection * 0.5 Score ranges from approximately -6 to +6: - +4 or higher = STRONG BULL - +2 to +4 = BULL - -2 to +2 = NEUTRAL - -4 to -2 = BEAR - -4 or lower = STRONG BEAR Signal Types TK Cross Up/Down - Conversion line crosses Base line (momentum shift) Base Direction Change - Base line changes direction (medium-term shift) Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence) Dashboard Information Trend - Overall status with composite score Cloud - Price position (ABOVE/BELOW/INSIDE) TK Cross - Conversion vs Base relationship Lagging - Lagging span bias Vortex - VI+/VI- relationship VI+/VI- - Individual vortex values How to Use This Indicator For Trend Following: 1. Enter long when trend score reaches +4 or higher (STRONG BULL) 2. Enter short when trend score reaches -4 or lower (STRONG BEAR) 3. Use cloud as dynamic support/resistance for entries For Momentum Timing: 1. Watch for TK Cross signals for entry timing 2. Base direction changes indicate medium-term shifts 3. Vortex confirmation adds conviction For Risk Management: 1. Exit when trend score drops to neutral 2. Use cloud edges as stop-loss references 3. Reduce position when score weakens Input Parameters Conversion Period (9) - Fast equilibrium line Base Period (26) - Slow equilibrium line Lead Span Period (52) - Cloud projection period Displacement (26) - Cloud and lagging span offset Vortex Period (14) - Period for vortex calculation VI+ Strength (1.10) - Threshold for strong bullish vortex VI- Strength (0.90) - Threshold for strong bearish vortex Timeframe Recommendations 4H-Daily: Best for equilibrium-based analysis 1H: Good for intraday trend following Lower timeframes may require adjusted periods Limitations Equilibrium calculations have inherent lag Cloud displacement means signals are delayed Works best in trending markets May whipsaw in ranging conditions Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script® 인디케이터
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Kernel Filter Histogram (RBF)The Kernel Filter Histogram (RBF) is a regime-detection and edge-confirmation tool built on Gaussian (RBF) kernel regression. It is designed to identify when market conditions are favorable for participation and when traders should stay defensive. Instead of reacting to price noise, this indicator measures the normalized slope of a smoothed kernel regression curve, converts it into a z-score, and displays it as a histogram representing directional edge pressure. What It Measures Underlying market regime (bullish, bearish, or neutral) Strength and quality of directional momentum Statistical edge expansion vs compression When trend continuation is more likely vs chop How It Works Applies Nadaraya–Watson kernel regression using a Gaussian (RBF) kernel Calculates the slope of the regression curve Normalizes slope using ATR for cross-instrument consistency Converts the result into a z-score to measure statistical deviation Smooths the output into a readable histogram + signal line Uses an optional threshold gate to filter low-quality conditions Reading the Histogram Green bars → Bullish regime / positive edge Red bars → Bearish regime / negative edge Gray bars → Neutral / low-edge environment Above zero → Bullish pressure dominates Below zero → Bearish pressure dominates Threshold gating allows you to require minimum edge strength before treating signals as actionable. Best Use Cases Trade filter (only take longs when bullish, shorts when bearish) Regime confirmation for existing strategies Momentum quality assessment Avoiding chop and low-probability setups Multi-timeframe alignment tool What This Is (and Is Not) ✔ IS: A high-quality regime and edge filter ✔ IS: Designed for professional trading systems ✔ IS: Instrument-agnostic and timeframe-agnostic ✖ NOT: A buy/sell signal generator ✖ NOT: A lagging moving average ✖ NOT: A beginner indicator Recommended Usage Use this indicator as a gatekeeper: Only execute setups when the histogram confirms favorable regime conditions Combine with your entry trigger, not instead of it Works exceptionally well with trend-following, momentum, and mean-expansion systems
Pine Script® 인디케이터
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