지금 시작

모멘텀 인디케이터 (MOM)

Decycler Momentum Regime Filter ~ CharonQuantThe Decycler Momentum Regime Filter is a trend-following and momentum confirmation indicator built on John Ehlers’ Decycler filtering methods, combined with the Price Momentum Oscillator (PMO) for regime validation. The original Decycler concept uses high-pass filtering techniques to suppress cyclical noise and isolate the underlying directional structure of price. This version extends that foundation into a unified trend regime system designed for real trading conditions, not constant flipping in chop. What’s different in this implementation: • Ehlers Decycler trend backbone to smooth price action and reduce noise • Momentum confirmation using PMO • Zero-line regime filter to avoid weak or transitional environments • Directional state engine that clearly defines bullish, bearish, or neutral trend regimes • Clean visual context using adaptive trend coloring, bar bias, and background shading Trend regimes are only confirmed when all conditions align: • Decycler slope confirms directional trend persistence • PMO is aligned with its signal line (momentum continuation) • PMO is above or below zero (trend-strength regime validation) • The CharonQuant state updates only when trend + momentum agree If one condition fails, the system remains neutral or holds its previous state. This design prioritizes signal quality over signal frequency. Visual interpretation: • Gold (CharonQuant = +1) → Confirmed Bullish Trend Regime • Wine (CharonQuant = –1) → Confirmed Bearish Trend Regime • Gray (Neutral) → No strong trend / transition zone This makes the indicator especially useful as a trend bias filter for systematic swing and position trading. Development and calibration notes: This indicator was developed and calibrated on the 1D CRYPTO:SOLUSD chart. Default parameters are optimized for SOL’s volatility structure and daily trend behavior. You must tweak the settings to fit your asset, 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. This tool is a trend regime filter, not a complete trading system.
Pine Script® 인디케이터
CharonQuant의
Radiant Mean Reversion Channels [Pineify]Radiant Mean Reversion Channels - HMA & ATR Normalized Oscillator with Dynamic Gradient Signals The Radiant Mean Reversion Channels indicator is a volatility-normalized oscillator designed to detect high-probability mean reversion setups across any market and timeframe. It transforms a Hull Moving Average (HMA) based channel into a bounded 0–100 oscillator, making it easy to spot when price has stretched to statistical extremes and is likely to revert toward equilibrium. By combining the low-lag properties of HMA with the adaptive volatility measurement of ATR, this indicator provides fast, accurate overbought and oversold readings without the noise common in traditional oscillators. Key Features HMA-based dynamic mean for ultra-low-lag price tracking ATR-driven volatility bands that automatically adapt to market conditions Normalized 0–100 oscillator scale for consistent interpretation across all instruments WMA smoothing to reduce whipsaws while preserving signal responsiveness Dynamic gradient coloring that shifts from bearish to bullish based on oscillator value Clearly defined overbought (80/90) and oversold (10/20) zones with visual fills Automatic buy and sell signal generation on mean reversion crossovers Built-in alert conditions for seamless trading automation How It Works The indicator follows a five-step calculation pipeline that converts raw price action into a clean, actionable oscillator: Dynamic Mean via HMA: The center of the channel is calculated using a Hull Moving Average of the selected source over the specified channel length. HMA was chosen specifically because it dramatically reduces lag compared to SMA or EMA while maintaining a smooth curve, giving traders a more accurate real-time estimate of the current mean price. Volatility Measurement via ATR: The Average True Range over the same lookback period measures current market volatility. This value is scaled by a user-defined Band Multiplier to create the channel width. ATR naturally adapts—widening during volatile conditions and tightening during consolidation—ensuring the channel remains contextually appropriate. Channel Construction: The upper and lower bands are formed by adding and subtracting the scaled ATR from the HMA mean. This creates a dynamic envelope that contains most price action under normal conditions. Normalization to Oscillator: The price position within the channel is normalized using the formula: (Price - Lower Band) / (Upper Band - Lower Band) × 100. This maps the channel into a 0–100 scale where 0 represents the lower band, 100 represents the upper band, and 50 represents the mean. Values above 100 or below 0 indicate price has exceeded the channel boundaries. WMA Smoothing: The raw oscillator is smoothed using a Weighted Moving Average, which gives more weight to recent readings. This reduces noise and false signals while keeping the oscillator responsive to genuine shifts in momentum. Trading Ideas and Insights Mean reversion is a core principle in quantitative trading—prices tend to oscillate around a fair value and snap back after stretching too far. The Radiant Mean Reversion Channels quantifies this behavior by measuring exactly where price sits within its volatility envelope: When the oscillator rises above 80, price is near the upper channel band—a statistically overbought condition where selling pressure often emerges When the oscillator falls below 20, price is near the lower channel band—an oversold zone where buyers tend to step in The extreme levels at 90 and 10 represent deeper extensions where reversion probability increases significantly Signal generation occurs when the oscillator crosses back inside these zones, timing the actual beginning of the reversion move rather than trying to catch the exact top or bottom This method excels in range-bound and mean-reverting markets. In trending markets, the signals can be used to identify pullback entry opportunities in the direction of the prevailing trend. How Multiple Indicators Work Together The Radiant Mean Reversion Channels integrates three distinct technical concepts into a cohesive analytical framework: Hull Moving Average (Mean): HMA serves as the dynamic center of the channel. Its unique double-smoothed, lag-compensated formula (using nested WMAs with square root period adjustment) provides a mean line that reacts to trend changes significantly faster than traditional averages. This ensures the "fair value" baseline stays current with evolving market conditions. Average True Range (Volatility): ATR measures real market volatility by accounting for gaps and true trading ranges—not just close-to-close changes. As the volatility component, ATR automatically adjusts the channel width. During high-volatility periods, the channel expands so that only truly extreme moves trigger signals. During low-volatility periods, it contracts to remain sensitive, preventing missed opportunities. Weighted Moving Average (Smoothing): The WMA applied to the normalized oscillator gives heavier weight to the most recent data points. This produces a smoother output than SMA while introducing less lag than EMA for short smoothing periods, striking an optimal balance between signal clarity and timeliness. These three components work together synergistically: HMA tracks where price should be, ATR defines how far is too far, and WMA ensures the final oscillator reading is clean and reliable. Unique Aspects HMA-ATR Combination: Most channel-based oscillators use Bollinger Bands (SMA + Standard Deviation). By pairing HMA with ATR, this indicator benefits from lower lag on the mean and a volatility measure that accounts for gaps and true range—producing faster and more robust channel boundaries Dynamic Gradient Visualization: The oscillator line smoothly transitions color from bearish to bullish across the 0–100 range using a continuous gradient. This provides immediate visual feedback on market conditions without requiring traders to reference fixed levels Dual-Zone Architecture: The indicator features both standard zones (20/80) and extreme zones (10/90) with distinct visual fills, helping traders differentiate between moderate and extreme conditions at a glance Normalization Advantage: By converting the channel into a normalized oscillator, traders can compare readings across different assets and timeframes on a consistent scale, making it versatile for multi-market analysis How to Use Add the indicator to your chart—it displays as a sub-chart oscillator below the main price chart Monitor the oscillator's position: readings above 80 indicate overbought conditions, below 20 indicate oversold conditions Watch for buy signals (circles at the bottom) when the oscillator crosses back above 20 from oversold territory, indicating a bullish mean reversion is underway Watch for sell signals (circles at the top) when the oscillator crosses back below 80 from overbought territory, signaling a bearish mean reversion Use the gradient color intensity to quickly assess momentum—greener tones indicate bullish positioning while redder tones indicate bearish positioning Combine with trend analysis: in uptrends, prioritize buy signals near the 20 level; in downtrends, prioritize sell signals near the 80 level Enable alerts using the built-in alert conditions to receive notifications when reversion signals trigger Customization Channel Length (default: 21): Controls the lookback period for both the HMA mean and ATR volatility calculation. Shorter values increase sensitivity for scalping; longer values provide smoother readings for swing trading Band Multiplier (default: 2.0): Adjusts the channel width by scaling the ATR value. Higher values create wider channels, producing fewer but higher-confidence signals. Lower values narrow the channel for more frequent signals Oscillator Smoothing (default: 3): Controls the WMA smoothing period applied to the raw oscillator. Increase this value in choppy markets to filter out noise; decrease it in clean-trending markets for faster signals Source (default: Close): Select the price source for all calculations. Alternatives like HL2 or HLC3 can provide smoother inputs Bullish/Bearish/Neutral Colors: Fully customizable color scheme for the gradient, zones, and signal markers to match your preferred chart theme Conclusion The Radiant Mean Reversion Channels indicator offers traders a refined approach to mean reversion analysis by combining the speed of Hull Moving Average, the adaptive volatility measurement of ATR, and intelligent WMA smoothing into a single normalized oscillator. Its gradient visualization, clearly defined reversion zones, and automated signal generation make it a practical and visually intuitive tool for identifying high-probability reversal points. Whether used for timing entries in range-bound markets or catching pullbacks in trending conditions, this indicator brings clarity and precision to mean reversion trading strategies.
Pine Script® 인디케이터
Pineify의
Bernoulli Process: Trend Probability & Entropy [MarkitTick]💡 This technical indicator introduces a rigorous probabilistic framework to the evaluation of market regimes by modeling price fluctuations as a Bernoulli Process. Unlike traditional oscillators that merely measure the magnitude of price movement, this script treats every bar as a discrete "trial" that either succeeds or fails based on specific conditions—such as directional price action, momentum thresholds, or trend alignment. By applying Information Theory and the principles of Maximum Likelihood Estimation (MLE), the script quantifies not just the direction of the market, but the statistical reliability and the "noise" content of the current sequence. This allows traders to distinguish between a structured trend and high-entropy market "chop," providing a level of objective clarity often missing in standard technical analysis. ● ✨ Originality and Utility The primary innovation of this script lies in its transition from deterministic price tracking to stochastic regime modeling. Most indicators suffer from the "binary trap," where they simply tell a trader if price is above or below a level without assessing the statistical significance of that state. • Quantifying Market Information By integrating Shannon’s Binary Entropy, the script measures the uncertainty inherent in a price sequence. When entropy is near 1.0, the market is in a state of maximum uncertainty (effectively a fair coin toss), signaling that a trader should likely avoid the "noise." Conversely, low entropy values indicate a high-information state where one side of the Bernoulli trial is dominating, suggesting a persistent trend. • Adaptive Definition of Success The script is not limited to a single logic; it allows the user to define what constitutes a "Success" in the Bernoulli trial. Whether you prioritize raw price action (Close > Open), momentum (RSI > 50), or trend-following (Price > Moving Average), the underlying probabilistic engine remains consistent, making it a versatile tool for various trading styles. • Z-Score Significance Testing It applies a Central Limit Theorem (CLT) approximation to calculate a Z-Score. This tells the trader how many standard deviations the current trend is away from a random walk (p=0.5). This provides a mathematical filter to avoid entering "trends" that are actually within the bounds of statistical randomness. ● 🔬 Methodology and Concepts The script operates through a four-stage mathematical pipeline that converts raw market data into probabilistic metrics. • Stage 1: The Bernoulli Trial (I) The foundation is the indicator variable (I). On every bar, the script evaluates a boolean condition. If the condition is met, the trial is a "Success" (1.0); otherwise, it is a "Failure" (0.0). This transforms complex candles into a simple binary sequence: {1, 0, 1, 1, 0...}. • Stage 2: Probability Estimation (p-hat) Using a rolling window of length N, the script calculates the Maximum Likelihood Estimate (MLE) of the probability parameter 'p'. This is essentially the sample mean of the successes within the window. A value of 0.7 suggests that in the last N trials, 70% were successful. • Stage 3: Binary Entropy Calculation The script calculates Entropy H(p) using the formula: H(p) = -p * log2(p) - (1-p) * log2(1-p) This provides a metric for "Trend Quality." If p is 0.5 (random), H(p) is 1.0 (maximum noise). If p is 1.0 or 0.0 (perfect trend), H(p) is 0.0 (maximum order). • Stage 4: Volatility-Adjusted Z-Score To determine if a sequence is truly anomalous, the script calculates the standard deviation of a fair process and compares the observed deviations to this baseline. This identifies "Significant Trends" that are mathematically distinct from a 50/50 random distribution. ● 🎨 Visual Guide The visual interface is designed to communicate complex statistical data through intuitive color-coded cues. • The Bernoulli Probability Line The main plot is a continuous line representing the estimated probability (p). A value above 0.5 indicates a bullish bias (p-hat > 0.5). A value below 0.5 indicates a bearish bias (p-hat < 0.5). • Dynamic Entropy Coloring The line does not just change color based on direction; it changes based on certainty. Vibrant Green: Strong bullish trend with low entropy (High Certainty). Vibrant Red: Strong bearish trend with low entropy (High Certainty). Gray/Faded Color: High entropy regime (Entropy > 0.9). This signals that the market is "choppy" and the probability of success is too close to random to be reliable. • Background Entropy Zones The chart background highlights areas of "Max Entropy" in a subtle gray color. When you see these zones, it suggests the current Bernoulli definition is failing to find a directional edge, signaling a period of market consolidation. • Real-Time Metrics Dashboard A table in the top-right corner displays: Probability (p): The exact decimal value of the current trend probability. Entropy (Bits): The current level of uncertainty in the sequence. Regime: A text-based label identifying the market state (Bull Trend, Bear Trend, or Noise/Chop). • Execution Signals Small triangles appear on the chart to mark high-probability transition points. A Triangle Up (Green) marks a bullish breakout from a low-entropy state, while a Triangle Down (Red) marks a bearish breakdown. ● 📖 How to Use • Identifying Low-Noise Entries Traders should look for instances where the Probability Line crosses the 0.5 threshold while Entropy is low (vibrant colors). If the line is gray, the "trend" lacks statistical significance, and the risk of a whip-saw is high. • Regime Filtering Use the indicator as a "Mode Filter." If the Dashboard displays "NOISE / CHOP," it is a signal to stay flat or use mean-reversion strategies. If it displays a "TREND" regime, trend-following strategies can be deployed with higher confidence. • Interpreting the Z-Score While not directly plotted, the Z-Score logic powers the signal generation. A signal is only produced when the deviation from the "Fair Coin" (0.5) is substantial enough to suggest a non-random event. ● ⚙️ Inputs and Settings • Bernoulli Trial Definition Choose between three calculation modes: Price Action: Uses the relationship between Close and Open (Directional bars). Momentum: Uses RSI relative to the 50-level (Standard momentum). Trend: Uses Price relative to a Simple Moving Average (Long-term regime). • Sample Window (N) Determines the "lookback" for the probability calculation. Smaller values (e.g., 10-15) are more responsive but noisier; larger values (e.g., 30-50) provide a smoother, more institutional view of the regime. • Risk Management (Alerts) Target R:R Ratio: Used to calculate the Take Profit level in the JSON alerts. Stop ATR Multiplier: Uses Average True Range to calculate a volatility-adjusted stop loss for signals. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The "Bernoulli Process: Trend Probability & Entropy" script is built upon the pillars of Discrete Stochastic Processes and Information Theory. • The Law of Large Numbers (LLN) The script relies on the LLN, which states that as a sample size grows, its mean gets closer to the average of the whole population. By using a "Sample Window," we are performing a rolling MLE of the true underlying probability parameter of the market at that moment. • Shannon Entropy and Information Theory Claude Shannon’s 1948 work on information entropy is the bedrock of the "Noise" detection in this script. In the context of trading, entropy represents the "surprise" or "uncertainty" in the price sequence. A low-entropy market is one where the next bar's success/failure is highly predictable based on the recent past, which is the mathematical definition of a trend. • Bernoulli vs. Gaussian Distributions Most indicators assume a Normal (Gaussian) distribution of price returns. However, market states are often better modeled as discrete outcomes (Up/Down). By treating the market as a Bernoulli Process, we bypass the "fat-tail" problem of Gaussian distributions and focus purely on the frequency of successful outcomes, making the tool more robust against outliers. • The Z-Test for Proportions By applying a Z-score calculation to a Bernoulli distribution, the script treats the market like a "biased coin" experiment. It tests the Null Hypothesis ($H_0$): "The market is a fair coin (p=0.5)." When the Z-score is high, we reject $H_0$ in favor of the Alternative Hypothesis ($H_1$): "The market is trending (p != 0.5)." ⚠️ 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
Stock Expansion - Pullback Screener (v6)Stock Expansion → Pullback Screener (v6) – Momentum Continuation Filter This open-source, non-repainting indicator acts as a **screener** for high-probability pullback entries after strong momentum expansion candles — a classic continuation setup used in momentum, trend-following, and swing trading. Core Concept Markets often produce explosive candles during momentum surges (news, breakouts, volume spikes). After such expansions, price frequently retraces to value areas (dynamic support/resistance) before resuming the trend. This tool identifies: 1. Strong directional expansion bars 2. Sustained momentum confirmation 3. Healthy pullbacks to logical re-entry zones …within a short time window after the expansion. Why this combination? - Raw expansion (large range) can be noisy → we require strong body (>60% of range) + ATR filter to isolate conviction moves. - Directionless expansions are ignored → RSI momentum zones (>55 bull, <45 bear) add trend bias. - Pullbacks to EMAs alone can be premature → we require price to be sandwiched between fast/slow EMA **or** very close to VWAP (institutional fair value proxy). - Time decay prevents stale signals → only signals within user-defined bars after expansion (default 20). This creates a focused, confluence-based filter that reduces whipsaws compared to single-indicator approaches. How It Works – Step by Step 1. Expansion Candle Detection - Range > ATR(14) × multiplier (default 1.3) - Body > 60% of range (shows directional conviction, not just wick volatility) 2. Momentum Filter - Bullish expansion: RSI(14) > 55 - Bearish expansion: RSI(14) < 45 3. Time Window - Signal active only within maxBars (default 20) after the expansion candle 4. Pullback Zone Definition - Bullish pullback: price between EMA20 and EMA50 **OR** within 0.3% of VWAP - Bearish pullback: price between EMA50 and EMA20 **OR** within 0.3% of VWAP 5. Final Signal - Bullish: active bull expansion window + current momentum still bullish + pullback zone - Bearish: mirror logic Visuals & Alerts - Green triangle below bar → Bullish Expansion → Pullback setup - Red triangle above bar → Bearish Expansion → Pullback setup - Built-in alertconditions: → "Bullish expansion pullback on {{ticker}} ({{interval}})" → "Bearish expansion pullback on {{ticker}} ({{interval}})" How to Use as a Screener 1. Add to any stock/ETF/index chart (works best on 15m–4h timeframes). 2. Use TradingView’s built-in screener or watchlist + alerts: - Create separate alerts for bull/bear conditions - Or scan manually across multiple tickers 3. Typical workflow: - Wait for expansion triangle (strong move occurred) - Wait for pullback triangle within ~10–20 bars - Enter in direction of expansion when both conditions fire 4. Best environments: - Trending stocks/sectors (tech, growth, momentum names) - After earnings, sector rotation, or macro catalysts - Avoid very choppy/low-volume names 5. Risk management (not coded – user responsibility): - Stop below expansion low (bull) / above high (bear) - Target previous swing high/low or 2–3× risk Recommended Settings - ATR Multiplier: 1.2–1.6 (lower = more signals, higher = stronger expansions) - Max Bars: 10–30 (shorter = fresher setups, longer = more forgiving pullbacks) - Timeframes: 15m–4h (daily works but fewer signals) Publishing Recommendation - Publish with a clean chart (e.g., 1h or 4h TSLA, NVDA, or SPY) - Show both a recent expansion candle + pullback signal visible - No extra indicators/drawings needed This is a lightweight, educational momentum screener — fully open-source. It highlights setups, not automatic entries. Trading involves significant risk of loss. Always use proper risk management. Feedback welcome — especially timeframe/parameter suggestions for different markets!
Pine Script® 인디케이터
uzair2join의
All-in-One SMC ProAll-in-One SMC Pro: CHOCH • BOS • FVG • Order Blocks • Liquidity + Discount/Premium This open-source overlay indicator combines the five most widely used Smart Money / ICT (Inner Circle Trader) concepts into a single, customizable tool: - Break of Structure (BOS) - Change of Character (CHOCH) - Fair Value Gaps (FVG) - Order Blocks (mitigation blocks) - Liquidity grabs (equal highs/lows) - Discount / Premium zones Why this combination? SMC traders rarely use these concepts in isolation. A complete workflow typically involves: 1. Identifying market structure direction (BOS) or reversal (CHOCH) 2. Locating high-probability entry zones (Order Blocks, FVGs) 3. Confirming institutional manipulation (liquidity grabs of equal highs/lows) 4. Understanding price positioning relative to value (discount = buy bias, premium = sell bias) Putting them all in one script reduces chart clutter, improves confluence visibility, and helps newer SMC users see how the pieces connect — without needing 5–7 separate indicators. Core Concepts & Detection Logic 1. Break of Structure (BOS) - Bullish BOS: price closes above previous swing high - Bearish BOS: price closes below previous swing low - Swing points detected with user-defined lookback (default 5 bars left/right) 2. Change of Character (CHOCH) - Bullish CHOCH: price makes lower low but closes above previous swing high (bearish structure broken → bullish reversal signal) - Bearish CHOCH: price makes higher high but closes below previous swing low (bullish structure broken → bearish reversal signal) 3. Fair Value Gaps (FVG) - Bullish FVG: gap up after a bearish candle (low > high ) - Bearish FVG: gap down after a bullish candle (high < low ) - Sensitivity controlled via ATR multiplier (default 0.1 × ATR(14)) - Dashed horizontal lines mark the gap boundaries 4. Order Blocks - Bullish OB: previous swing low after bullish BOS (potential demand zone) - Bearish OB: previous swing high after bearish BOS (potential supply zone) - Drawn as semi-transparent boxes extending rightward (lookback period adjustable) 5. Liquidity Grabs - Detects clusters of equal highs/lows (default 3-bar lookback) - Labels appear when price reverses after touching equal levels (classic stop-hunt / liquidity raid) 6. Discount / Premium Zones - Equilibrium proxy = (H + L + C) / 3 - Discount: price below ~0.5% of equilibrium (green tint – buy bias area) - Premium: price above ~0.5% of equilibrium (red tint – sell bias area) Visual Customization - Toggle each element independently (BOS, CHOCH, FVG, OB, Liquidity, Disc/Prem) - Separate bullish/bearish colors + dedicated FVG/OB/Liquidity colors - Max lines/labels set high (500) to handle longer histories Alerts (built-in conditions) - Bullish / Bearish BOS - Bullish / Bearish CHOCH - Bullish / Bearish FVG formation How to Use - Best on 5m–4h timeframes for forex, indices, crypto, gold (high-liquidity instruments) - Typical SMC workflow example: 1. Look for CHOCH → potential trend reversal 2. Wait for BOS in new direction → structure confirmation 3. Seek entry at Order Block or FVG mitigation in discount/premium zone 4. Liquidity grabs near swing extremes often precede strong moves - Combine with session times, news events, or higher-timeframe bias — never trade signals in isolation - Adjust swingLen (3–10) for sensitivity: lower = more signals, higher = cleaner structure Publishing Recommendation - Publish with a clean chart (recommended: 15m–1h EURUSD, XAUUSD, BTCUSD, or NQ1!) - Show a recent CHOCH → BOS → OB/FVG confluence sequence - Remove all other indicators, drawings, and unnecessary gridlines Always use discretion, proper risk management, and backtest thoroughly. Feedback welcome — especially on FVG sensitivity or OB refinement ideas!
Pine Script® 인디케이터
uzair2join의
Momentum ChecklistMomentum Checklist - Visual Trading Dashboard A clean, easy-to-read dashboard that displays key momentum indicators in one convenient table. This indicator helps traders quickly determine the directional bias of price action by combining ADX, Directional Movement Index (DMI), and Money Flow Index (MFI). What It Shows: ADX (Average Directional Index): Measures trend strength. Green checkmark appears when ADX ≥ 20, indicating a strong trending market DI+ (Positive Directional Indicator): Tracks upward price movement DI- (Negative Directional Indicator): Tracks downward price movement MFI (Money Flow Index): Volume-weighted momentum indicator. When > 50 indicates bullish money flow Bias: Automatically calculates directional bias: LONG: When DI+ > 25 and DI- < 20 SHORT: When DI- > 25 and DI+ < 20 NEUTRAL: When conditions are mixed Trading Strategy: This indicator helps determine the bias of price movement in a certain direction. When coupled with Bollinger Bands, it becomes a very powerful combination to catch those big explosive moves up or down. The momentum confirmation from this checklist combined with Bollinger Band squeezes or breakouts can significantly improve entry timing. Recommended Usage: Timeframes: 5-minute to 15-minute charts for optimal performance Best Assets: US30, XAUUSD (Gold), BTCUSD, and most major indices Works exceptionally well on volatile instruments with strong directional moves Features: Color-coded cells for instant visual confirmation Customizable position (Top Right, Top Left, Bottom Right, Bottom Left) Adjustable text size (Tiny, Small, Normal) Configurable ADX, DMI, and MFI period settings Perfect for day traders and scalpers looking for quick momentum confirmation before entering trades! Feel free to adjust any part of this description to match your style! 🎯
Pine Script® 인디케이터
krishnaperi95의
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
Pine Script® 인디케이터
nabil007의
Cyberpunk MACD Pulse EngineDescription The Cyberpunk MACD Pulse Engine is a high-performance trend momentum oscillator designed for the modern trader operating in high-volatility environments. It reimagines classic MACD logic through a futuristic HUD (Head-Up Display) aesthetic and is now equipped with "Tactical Mode" switching capabilities—allowing you to swap your analytical focus instantly, much like upgrading hardware in a high-tech sprawl. Core Systems ・Four Tactical Presets: Instantly recalibrate the engine between Standard, Fast (Scalp), Slow (Swing), or Neural Spike (Hyper-reactive) to match your specific trading style. ・Pulse Histogram: Features dynamic transparency and neon-fused clarity to visualize momentum acceleration and deceleration in real-time. ・Dual-Core Lines: MACD and Signal lines are rendered with a "Neon Glow" effect for maximum visibility during intense sessions. ・System Status HUD: An integrated interface in the top-right corner that monitors current status and active Tactical Mode without cluttering your focus. ・Optimized Logic: Built on Pine Script V5 to ensure lightweight, latency-free performance. How to Use 1. Identify the Signal: Watch for the "System Reboot" (Cyan Triangle) for bullish reversals and "System Critical" (Magenta Triangle) for bearish shifts. 2. Monitor Intensity: When the histogram glows intensely, momentum is at its peak. 3. Tactical Tip: Use Neural Spike for spotting sudden volatility spikes, and switch to Slow (Swing) to confirm if the primary higher-timeframe trend is still intact. 概要 Cyberpunk MACD Pulse Engineは、現代のトレーダーのために設計された高性能トレンド・モメンタム・オシレーターです。クラシックなMACDを近未来的なHUD（ヘッドアップディスプレイ）の美学で再構築しただけでなく、状況に応じて設定を瞬時に換装できる**「タクティカル・モード」**を新たに搭載しました。ハイテク都市のハードウェアをアップグレードするように、分析の焦点を即座に切り替えることが可能です。 主な機能 ・4つのタクティカル・プリセット: Standard、Fast (スキャルピング)、Slow (スイング)、Neural Spike (超高感度反応) から、自身のトレードスタイルに合わせてエンジンを即座に再調整できます。 ・パルス・ヒストグラム: ネオンが融合したクリアな視覚効果と動的な透明度変化により、モメンタムの加速と減速をリアルタイムに視覚化します。 ・デュアルコア・ライン: MACDとシグナルラインに「ネオングロー」エフェクトを施し、ボラティリティの高い局面でも最高の視認性を確保。 ・統合HUD: ペインの右上に、現在のトレンドステータスと選択中のモードをフィードバック表示。集中力を削ぐことなく状況を把握できます。 ・最適化されたロジック: Pine Script V5をベースに、軽量な動作とラグのない描画を実現しました。 使用方法 1. シグナルの確認: 強気の反転を示す「System Reboot（シアンの三角）」と、弱気への転換を示す「System Critical（マゼンタの三角）」に注目してください。 2. 勢いの測定: ヒストグラムの発色が鮮やかになった時、トレンドの勢いが最大に達していることを示します。 3. タクティカル・チップ: 急なボラティリティを検知するにはNeural Spikeを使用し、主要なトレンドが維持されているか確認するにはSlow (Swing)に切り替えて分析を補完してください。
Pine Script® 인디케이터
ken5_5489의
stelaraX - MomentumstelaraX – Momentum stelaraX – Momentum is a simple yet effective indicator designed to measure the speed and direction of price movement. It shows whether price is accelerating or decelerating and helps identify shifts in market strength at an early stage. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Momentum indicator calculates the difference between the current price and the price from a user-defined number of periods ago. Key characteristics include: * positive values indicate upward momentum * negative values indicate downward momentum * the zero line acts as a directional threshold When momentum crosses above zero, bullish pressure is increasing. When momentum crosses below zero, bearish pressure is increasing. Visualization The script plots a histogram in a separate indicator pane: * green bars when momentum is positive * red bars when momentum is negative * a clearly visible zero baseline for direction reference The histogram format makes changes in momentum strength immediately visible. Use case This indicator is intended for: * measuring price acceleration and deceleration * confirming trend strength * identifying early momentum shifts * filtering entries in trend-following strategies * divergence analysis between price and momentum For traders who want to combine classical momentum tools with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Pine Script® 인디케이터
stelaraX_official의
WaveTrend Oscillator Lite [SolQuant]The WaveTrend Oscillator Lite indicator provides single-timeframe WaveTrend momentum analysis with overbought and oversold zone detection. It displays the core WT1/WT2 oscillator lines with color-coded gradient fills, making it easy to identify momentum extremes at a glance. This is the free version of WaveTrend Oscillator , offering the core oscillator engine on a single timeframe without the multi-timeframe overlays, chart signals, alignment stars, or dashboard available in the full version. █ USAGE Reading the Oscillator Two WaveTrend lines (WT1 and WT2) oscillate around a zero line. When WT1 is above WT2, momentum is bullish (default: blue). When below, momentum is bearish (default: magenta). A gradient fill extends between the lines and toward zero, providing an intuitive visual cue of momentum strength and direction. Extreme Zones When either WT line crosses above the overbought level, the lines turn red and a red fill highlights the extreme zone. When below the oversold level, the lines turn green with a green fill. These extreme readings indicate potential reversal areas where momentum has stretched to unsustainable levels. █ DETAILS The WaveTrend oscillator is calculated in three steps: 1 — An EMA of the typical price (HLC3) is computed over the channel length 2 — The absolute deviation from this EMA is smoothed with another EMA 3 — The normalized difference (CI) is smoothed with an EMA of the average length to produce WT1, and a simple SMA of WT1 produces WT2 █ SETTINGS • Channel Length: EMA period for the price channel (default: 10). • Average Length: EMA period for final smoothing (default: 21). • Over Bought Level 1 / 2: Upper threshold levels for extreme zone detection (default: 60 / 53). • Over Sold Level 1 / 2: Lower threshold levels for extreme zone detection (default: -60 / -53). This indicator is an oscillator-based tool and does not constitute financial advice. Overbought and oversold conditions do not guarantee reversals. Past performance does not guarantee future results.
Pine Script® 인디케이터
lost_sol_의
RSI Adaptive Structure Engine (RASE)RSI Adaptive Structure Engine (RASE) is a regime-based market structure indicator built entirely using the Relative Strength Index (RSI). Rather than focusing on overbought or oversold conditions, RASE is designed to help traders identify directional market regimes and trend quality by combining multiple layers of RSI analysis into a single, structured framework. 🔹 What RASE Does RASE analyzes the market using: Structural RSI slope to determine directional bias RSI efficiency to filter noisy or choppy conditions Smoothed RSI momentum to confirm trend continuation Fast RSI behavior for timing alignment Higher-timeframe RSI confirmation for strong trend validation The indicator uses state-based logic, meaning signals appear only when a regime changes. This helps reduce noise and avoids repetitive or cluttered signals. 🔔 Signal Types 🔹 Base Signal (Single Triangle) Indicates early alignment of structure, momentum, and efficiency Uses the current timeframe only Intended to highlight potential regime shifts 🔹 Strong Signal (Double Triangle) Confirms trend strength using higher-timeframe alignment Appears only after a base regime is established Intended to highlight stronger directional persistence Optional execution-style markers can also be enabled for users who want additional same-timeframe context. 📈 How to Use RASE is best used as a regime and directional bias tool, not as a standalone entry system. Common use cases include: Trend filtering for other strategies Identifying favorable directional conditions Avoiding trades during low-quality or choppy regimes Multi-timeframe market structure analysis ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, investment guidance, or a recommendation to buy or sell any asset. Trading and investing involve risk. Users are solely responsible for their own decisions and risk management. Past performance is not indicative of future results.
Pine Script® 인디케이터
Market_Logic_India의
Adaptive Structure Trend Engine (ASTE)Adaptive Structure Trend Engine (ASTE) Adaptive Structure Trend Engine (ASTE) is a non-repainting, multi-layer trend analysis indicator designed to help traders identify high-quality directional opportunities using market structure and adaptive moving averages. ASTE focuses on trend clarity, confirmation, and signal cleanliness, avoiding indicator noise and repeated signals. 🔍 Core Components ASTE combines four powerful concepts into a single, structured framework: • FRAMA (Fractal Adaptive Moving Average) Detects market structure and directional slope changes. • KAMA (Kaufman Adaptive Moving Average) Measures price efficiency and regime stability. • JMA (Jurik-style Moving Average) Provides smooth momentum confirmation with minimal lag. • EMA Hierarchy (21/50 + 50/100/150/200) Validates trend strength and higher-order alignment. 📊 Signal Types ASTE produces state-based signals (no repeated alerts on every bar): 1️⃣ Base Signal Single tiny triangle • FRAMA slope alignment • KAMA direction confirmation • JMA momentum confirmation • EMA 21/50 trend validation 2️⃣ Strong Signal Two stacked triangles • All Base Signal conditions • PLUS EMA 50/100/150/200 full trend confluence Signals remain active until an opposite signal of the same type appears. 🎨 Visual Design • Clean stacked triangle system • No repainting • No signal spam • EMA band with gradual color transition • Fully configurable visibility options ⚙️ User Controls • Adjust FRAMA, KAMA, and JMA lengths • Toggle Base / Strong signals • Show or hide EMA band • Works on all markets and timeframes ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always use proper risk management and confirm signals with additional analysis. Past performance does not guarantee future results.
Pine Script® 인디케이터
Market_Logic_India의
Ehlers Adaptive Trend FilterEHLERS ADAPTIVE TREND FILTER | Lag-Compensated SuperSmoother Based on John Ehlers' "Smoothing The Data" (2014), this indicator extends the SuperSmoother with hybrid Butterworth filters and dynamic lag compensation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KEY FEATURES: ✓ 3 FILTER MODES (lag-measured empirically) • 2p+2p (Fast): 62 bars lag — responsive, great for scalping • 3p+2p (Hybrid): 70 bars lag — RECOMMENDED, best risk/reward • 3p+3p (Smooth): 88 bars lag — ultra-smooth for macro trends ✓ LAG-COMPENSATED MOMENTUM Automatically extends momentum lookback to account for filter delay. Keeps momentum signals responsive despite heavy smoothing. ✓ CONFIRMATION-BASED REVERSALS Requires 2+ bars confirmation before signaling reversals. ~60% fewer false signals than single-bar detection. Reduces whipsaws on volatile assets. ✓ VOLATILITY-ADAPTIVE THRESHOLDS Automatically scales all deviation levels based on asset volatility. Works seamlessly across: - Crypto (20%+ volatility) - Equities (10-15% volatility) - Forex (2-5% volatility) - Bonds (<2% volatility) ✓ MULTI-TIMEFRAME AUTO-CALIBRATION Automatically optimizes filter periods for your trading style: - Scalping (<1H): 2p+2p (Fast) - Swing Trading (1D): 3p+2p (Hybrid) ← Default - Position Trading (1W+): 3p+3p (Smooth) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT YOU GET IN THE DASHBOARD: • TREND STATUS: Good/Bad (signal above/below baseline) • MOMENTUM: Strong/Steady/Weak/Opposing (lag-compensated) • MOMENTUM TREND: Increasing/Decreasing/Stable • SUPPORT BASELINE: Bull Reversal/Bear Reversal/Aligned • SUPPORT SLOPE: Positive/Negative/Neutral (with %) • SAFETY MARGIN: % distance from baseline • PRICE DEVIATION: Extended/Expanding/On Course/Lagging • TECHNICAL RATING: Perfect/Transition/Dangerous/Critical • VOLATILITY: Live % + historical baseline • FILTER CONFIG: Active mode + exact lag metric • THRESHOLD LEVELS: Adaptive or Fixed mode • ANALYSIS MODE: Auto-calibrated or Manual ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PERFORMANCE (Backtested 2020-2024): ES 1D (3p+2p Hybrid): ✓ 68% Win Rate | 2.2:1 Profit Factor ✓ 12% Max Drawdown | Avg Trade: +45 points BTC 4H (3p+2p Hybrid): ✓ 62% Win Rate | 1.9:1 Profit Factor ✓ 18% Max Drawdown | Avg Trade: +$280 EURUSD 1H (2p+2p Fast): ✓ 55% Win Rate | 1.7:1 Profit Factor ✓ 8% Max Drawdown | Avg Trade: +45 pips ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE: 1. Add indicator to chart (any asset, any timeframe) 2. Select Filter Configuration: → 3p+2p (Hybrid) recommended for most traders 3. Read the dashboard (bottom-right table) 4. Trade signals: → ENTER: Trend Status = "Good" + Momentum = "Strong" → EXIT: Trend Status = "Bad" OR background highlight appears 5. Combine with your own trade plan (entries, sizing, risk management) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THIS INDICATOR? Most traders face a painful choice: → Fast MA (like EMA20): Responsive but too many false signals → Slow MA (like EMA100): Smooth but miss 20% of moves Ehlers SuperSmoother solves this using 40+ years of digital signal processing research. Butterworth filters preserve trend direction while removing high-frequency noise more efficiently than moving averages. The innovation: LAG COMPENSATION By measuring the exact delay of each filter and dynamically adjusting momentum lookback windows, you get BOTH clean trends AND responsive signals. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECHNICAL DETAILS: Filter Type: Ehlers 2-Pole & 3-Pole SuperSmoother (Butterworth) Lag Compensation: Empirically measured via step response Momentum Adjustment: 1.0x (2p+2p) / 1.15x (3p+2p) / 1.45x (3p+3p) Volatility Model: 75th percentile of rolling 252-day returns Reversal Confirmation: 2-bar minimum (reduces noise) Repainting: NO (Pine Script v6, confirmed bars only) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER: This indicator is for educational and analytical purposes only. NOT financial advice, investment recommendations, or profit guarantees. • Past performance does NOT guarantee future results • All trading involves risk, including loss of principal • Test extensively on historical data before live trading • "Safety" and "Risk" metrics measure technical deviation, NOT capital protection • Start with small position sizes and proper risk management ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REFERENCE: Ehlers, J. (2014). "Smoothing The Data." Stocks & Commodities Magazine. Oppenheim & Schafer. "Discrete-Time Signal Processing" (3rd ed.)
Pine Script® 인디케이터
TrendMatrix_Labs의
CVD Momentum Divergence 1. Introduction Discover hidden buying/selling pressure before price explodes! The CVD Momentum Divergence indicator compares detrended and normalized price momentum (orange line) against Cumulative Volume Delta momentum (blue line) to reveal when volume flow diverges from price action. These two lines oscillate around zero on the same scale, making hidden strength/weakness crystal clear during market sessions. 2. Key Features - Dual Detrended Lines : Price momentum (orange) vs CVD momentum (blue) - both normalized - CVD-Price Divergence Histogram : Green bars above zero when blue (CVD stronger); Red bars below when orange (CVD weaker) - Trend-Free Analysis : SMA detrending removes directional bias for pure cycle comparison - Universal CVD Calculation : Works on any volume symbol - Fully Customizable : Separate price/CVD lengths + smoothing control 3. How to use Look for divergences between main chart price movement and the separation (distance) between blue/orange lines - the histogram quantifies this perfectly. - Large GREEN histogram (above zero) = CVD strength >> price movement = buying delta dominates - Large RED histogram (below zero) = Price strength >> CVD = selling delta dominates - Both lines above zero = overall buying momentum. Both below zero = selling momentum - Price falling BUT blue line stays high → hidden buying → upside likely - Price rising BUT blue lags → selling pressure building → downside risk NOTE : This indicator shows momentum divergence only! Always confirm with price action (support/resistance, candle patterns, key levels).
Pine Script® 인디케이터
destrobr0685의
7M Multi-Factor Momentum ScoreboardThe 7M Scoreboard is more than just a collection of indicators; it is a Real-Time Scoring Engine designed for momentum traders and quant-focused analysts. While many scripts simply "mash up" indicators, the 7M Dashboard provides a weighted analytical framework that filters market noise into a single, actionable 7M Score. It evaluates seven distinct dimensions of market health: Price Action, Relative Volume (Time-specific and Daily), Capital Structure (Float), and Multi-timeframe Trend alignment (VWAP, VWMA, MACD). Make sure to enable Extended Trading Hours in the TradingView settings. What makes it original? The core innovation lies in the 7M Scoring & Alerting logic. Instead of a trader manually checking eight different parameters, the script performs a logical "Pass/Fail" assessment on every bar. Dynamic Time-Anchored Change: Unlike standard change percentages, this script allows you to anchor the "Starting Price" to the Pre-market (4:00 AM), Regular Open (9:30 AM), or Post-market (4:00 PM). Relative Volume (RVOL) at Time: It compares the current 5-minute volume not just to recent bars, but to the historical average for that specific time of day, filtering out the standard "lunchtime lull." Capital Structure Integration: It incorporates a "Float" filter, essential for identifying low-float momentum vs. heavy-cap institutional moves. How it works The script calculates a total score out of 9 points based on the following criteria: Momentum: Is price change > X percent from your chosen time anchor? Liquidity: Is the 5-minute volume > X million? Relative Strength: Is Daily RVOL and Time-specific RVOL > X? Trend Alignment: Is price above VWAP and the 20-period VWMA? Momentum Convergence: Is the MACD histogram positive? Volatility Health: Is RSI between 30 and 70 (avoiding extreme over-extension)? Step-by-Step Guide to Use Set your Market Type: Open the settings and choose your Price Change Anchor. Use Pre-Market if you trade the morning "Gap and Go." Use Regular Open if you are a day-trader focused on the 9:30 AM bell. Configure Thresholds: Set your Min % Move (e.g., 1.5%) and Min 5m Vol. Monitor the 7M Score: Look at the bottom row. Score < 5: High-risk, no clear momentum. Score 7+: High-probability "7M Pass" setup. Alerts (Great with TV's Watchlist Alerts) Right-click the chart and "Add Alert." Select the 7M Dashboard and choose the "🚀 7M PASS" condition to be notified the moment a ticker hits your momentum criteria. Recommended Settings for Different Assets Small-Cap Momentum Pre-Market - 4.0% (Change) - 500k (5m Vol) - 50M (Float) Mega-Cap / Tech Regular - 1.0% (Change) - 1.5M (5m Vol) - 30,000M (Float) Crypto Intraday Regular - 2.5% (Change) - 1M (5m Vol) - 10,000M (Foat) Technical Details Pine Script Version: v6 Visuals: Features a high-contrast UI with adaptive text sizing for the final 7M Score. Alerting: Includes an optimized alert() function for real-time momentum detection. Disclaimer The "7M Multi-Factor Momentum Scoreboard" is a technical analysis tool provided for educational and informational purposes only. Nothing contained in this script, its outputs, or the 7M Score constitutes financial, investment, or trading advice. Trading stocks, futures, and cryptocurrencies involves significant risk of loss and is not suitable for every investor. No Guarantees: Past performance as displayed by historical indicators is not indicative of future results. Model Limitations: The 7M Score is based on mathematical calculations of price and volume; it does not account for fundamental news, earnings surprises, or broader macroeconomic shifts. Personal Responsibility: You are solely responsible for your own trading decisions. Always perform your own due diligence and consult with a licensed financial advisor before putting capital at risk.
Pine Script® 인디케이터
meistermarco의
Futures: NQ Overnight Range (% of Daily ATR)## Futures: NQ Overnight Range (% of Daily ATR) — ORB Trading Guide ### What this indicator does This indicator is built for **NQ / MNQ futures** and is meant to support **Opening Range Breakout (ORB)** trading. Because futures trade nearly 24 hours, a lot of important movement happens during **Asia + London**. This script measures the **Overnight Range** from **18:00 to 09:30** (exchange time), then compares it to the market’s **typical full-day movement** using **Daily ATR(14)**. The goal is simple: > **Before the open, decide whether the day is more likely to behave like a “chop day” or an “expansion day,” and then choose the ORB style that matches.** --- ## Key terms (plain English) ### Daily ATR(14) ATR is the average daily movement over the last 14 days. Think of it as: > “On a normal day, NQ tends to move about *X* points.” --- ### Overnight Range (18:00–09:30) This is the distance between the **overnight high** and **overnight low** from 18:00 to 09:30. Think of it as: > “How much NQ already moved before the cash open.” --- ### Overnight Range % of ATR This is the “volatility meter” for the day: It answers: > “How much of a normal day’s movement already happened overnight?” --- ## How to interpret the Regime label This script classifies the day into one of three “regimes”: ### **CHOP-LEANING** (Overnight Range < 25% of Daily ATR) Overnight was quiet. The open is more likely to be: * range-bound * full of fakeouts * slower follow-through ### **NEUTRAL** (25%–50%) Normal overnight activity. Either outcome is possible: * trend or chop * you must let the open confirm it ### **EXPANSION-LEANING** (Overnight Range > 50%) Overnight was very active. The open is more likely to: * move faster * expand range quickly * have stronger directional pushes (or sharp swings) **Important:** Expansion does not guarantee a clean trend. It means **movement is more likely**. --- # How I use this indicator with ORB (my rules) This indicator is not a buy/sell signal by itself. I use it to decide **which ORB style to trade**. ## Step 1 — Check the “Regime” before the open * If the indicator reads **EXPANSION-LEANING**, I treat it like a momentum environment. * If the indicator reads **CHOP-LEANING**, I treat it like a confirmation environment. * If it reads **NEUTRAL**, I stay selective and let price action confirm. --- ## Step 2 — ORB Execution Rules ### ✅ If **EXPANSION-LEANING** (momentum day) **Goal:** Catch the move early and avoid missing the breakout. **My ORB plan:** * Build my opening range using the **5-minute ORB** * Enter on a **break of the ORB level** * Use the **1-minute timeframe** for the actual entry trigger **How I confirm the break:** * I want a clean break through the ORB level (not just a wick touch) * If price snaps immediately back inside the ORB, I avoid chasing This approach fits expansion days because the market can move quickly and waiting for perfect retests can cause you to miss the push. --- ### ✅ If **CHOP-LEANING** (confirmation day) **Goal:** Avoid fakeouts and only enter when the break proves itself. **My ORB plan:** * Build my opening range using a **15-minute ORB** * I do **not** enter on the first break * I wait for a **break and retest** * Then I use the **5-minute timeframe** to confirm the retest holds before entry This fits chop days because breaks fail more often, so I require confirmation before committing. --- ### ✅ If **NEUTRAL** **Goal:** Reduce low-quality trades. **My ORB plan:** * Treat it as “wait and see” * Only take the break if price shows strong conviction (hold outside ORB) * If price is whipping in and out of the range, I skip the trade --- ## Best practices * This indicator works best on **1m / 5m / 15m charts** so the overnight high/low is captured accurately. * Times are based on the symbol’s **exchange time**. * Use proper risk management—futures can move fast, especially on expansion days. --- ## Disclaimer This script is for educational purposes only and is not financial advice. Futures trading carries significant risk. Always use risk management and test any approach before trading live. ---
Pine Script® 인디케이터
rodtradessometimes의
Momentum - MOM🎯 Overview This is an advanced Momentum - MOM indicator that measures absolute price change over time, combined with dynamic moving average filtering. Unlike basic MOM implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise price momentum identification. 🧩 Core Components 1. ⚙️ Technical Foundation 📊 Primary Calculation: Uses TradingView's built-in ta.mom() function which calculates absolute price difference between current price and price N periods ago 📈 Dual Analysis Components: MOM Line: Absolute price change oscillator (unbounded range based on price) MA Filter: Customizable moving average acting as momentum baseline Momentum Zones: Gradient fills for strong positive and negative momentum extremes ⚡ Absolute Change Measurement: Unique ability to quantify the actual price movement in points/currency units 2. 🎛️ Configuration Parameters 📏 MOM Length: Default 14 periods (standard momentum setting) 🔄 MA Filter Settings: Length: Customizable (default 365 periods) Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA) 🎨 Color Themes: 5 visual schemes consistent with your indicator suite: Classic, Modern, Robust, Accented, Monochrome 📊 Signal Interpretation: 🟢 BULLISH: MOM > MA Filter (price momentum above baseline) 🔴 BEARISH: MOM < MA Filter (price momentum below baseline) 🚀 STRONG BULLISH: (extreme positive momentum) 📉 STRONG BEARISH: (extreme negative momentum) 3. 🎨 Visual Elements 🚨 Gradient Zones: Strong Bullish zone : Green gradient intensifying toward higher values Strong Bearish zone : Red gradient intensifying toward lower values 📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish" 📊 Dynamic Coloring: MOM line changes color based on position relative to MA ⚡ Midline Reference: Subtle 50-level reference line for scale orientation ⚡ Trading Applications 📈 Primary Uses: 🎯 Absolute Momentum Measurement: MOM > MA = Bullish price momentum MOM < MA = Bearish price momentum MOM = 0 = No net price change over period 💪 Momentum Strength in Price Terms: Shows actual points/currency gained or lost Useful for position sizing and risk management More intuitive than percentages for some traders 🚨 Extreme Momentum Signals: Extreme Bullish: (major price appreciation) Extreme Bearish: (major price depreciation) 📊 Zone Analysis: 🟢 Strong Bullish Zone : Green gradient fills Indicates substantial price gains over the period Often signals strong trend continuation or potential exhaustion 🔴 Strong Bearish Zone : Red gradient fills Indicates substantial price losses over the period Often signals strong downtrend or potential reversal 🟡 Equilibrium: Yellow MA line acts as momentum baseline filter 🎨 Customization Options 👁️ Display Features: 📊 Dual Components: Always shows both MOM line and MA filter 🎨 Gradient Visualization: Automatic fill for extreme momentum conditions 📋 Status Dashboard: Clear bullish/bearish momentum indication 📈 Customizable MA: Choose from 6 different moving average types 📏 Wide Dynamic Range: ±15,000 levels accommodate various asset price ranges 🎨 Visual Themes: (Consistent suite) 🎨 Classic: Green/Red (traditional momentum colors) 🚀 Modern: Cyan/Purple (contemporary) 💪 Robust: Amber/Deep Purple (high contrast) 🌈 Accented: Purple/Magenta (vibrant) ⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist) 🔔 Alert System 🟢 LONG Alert: Triggers when MOM crosses above MA 🔴 SHORT Alert: Triggers when MOM crosses below MA 📧 Format: Includes ticker symbol for tracking ⚡ Key Advantages ✅ Strengths: 🎯 Price-Based Analysis: Measures actual price movement in understandable units 💪 Absolute Value Interpretation: Shows exact points gained/lost over period 👁️ Clear Trend Momentum: MA filter separates noise from meaningful momentum 🔄 Flexible Across Assets: Works equally well with stocks, crypto, forex, etc. 📊 Professional Dashboard: Immediate momentum status recognition 📊 Optimal Settings: ⚡ Short-term Trading: MOM Length 10-14, MA Length 20-50 📊 Medium-term Trading: MOM Length 14-20, MA Length 50-100 📈 Long-term Trading: MOM Length 20-30, MA Length 100-365 🏆 Unique Features: 🎯 Absolute Price Measurement: Shows exact price change, not percentages 📊 Extreme Thresholds: ±15,000 levels for major momentum identification 🎨 Consistent Design: Matches your indicator family aesthetics 📋 Momentum Dashboard: Quick visual confirmation of price momentum 🔧 Direct Price Analysis: No conversion needed - shows actual market movement 🔄 Trading Strategies 1. Price Momentum Strategy: Go LONG when MOM crosses above MA with positive values Go SHORT when MOM crosses below MA with negative values Strong signals when MA crossover aligns with extreme zones 2. Momentum Divergence: Price makes higher high, MOM makes lower high → Bearish divergence (momentum weakening) Price makes lower low, MOM makes higher low → Bullish divergence (selling pressure decreasing) 3. Trend Strength Assessment: Large positive MOM values = Strong uptrend momentum Large negative MOM values = Strong downtrend momentum MOM near zero = Consolidation or trend change 📈 Performance Tips Asset-Specific Thresholds: Adjust ±15,000 levels based on typical price ranges Zero Line Significance: MOM crossing zero often precedes trend changes Extreme Readings: Very high/low MOM values may indicate exhaustion moves Multiple Timeframes: Compare MOM values across timeframes for confirmation Combine with Volume: Add volume analysis to confirm momentum moves This enhanced Momentum indicator provides professional-grade price-based momentum analysis with intuitive visualization, allowing traders to measure exact price movements, identify momentum trends in absolute terms, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊📈
Pine Script® 인디케이터
Tiagorocha1989의
Commodity Channel Index - CCIOverview This enhanced Commodity Channel Index (CCI) indicator provides traders with a sophisticated visualization of market momentum and trend direction. By combining the classic CCI oscillator with customizable moving averages and advanced visual features, it offers clear signals for identifying bullish and bearish market conditions. Core Functionality Indicator Components CCI Oscillator - Measures how far current price deviates from its statistical average Moving Average Filter - Smooths CCI values using your choice of 7 MA types Visual Zones - Color-coded overbought/oversold areas with gradient fills Market Bias Display - Prominent bullish/bearish label for quick interpretation Key Features 📊 Customizable Calculations Adjust CCI period (default: 55) for sensitivity tuning Select MA type (EMA, SMA, WMA, HMA, etc.) and period (default: 30) for smoothing Flexible moving average system supporting multiple calculation methods 🎨 Advanced Visualization Dynamic Color Coding: CCI line turns green when bullish (>50), red when bearish (≤50) Gradient Fill Zones: Green gradient between CCI and midline for overbought region (200 to 0) Red gradient between CCI and midline for oversold region (0 to -100) Multiple Plot Layers: CCI line, MA line, midline, and fill areas for comprehensive view 🔍 Clear Signal Interpretation Bullish Condition: CCI > 50 (green zone) Bearish Condition: CCI ≤ 50 (red zone) Overbought Warning: CCI in upper gradient zone Oversold Opportunity: CCI in lower gradient zone 📱 User-Friendly Display Large "⬆️ Bullish" or "⬇️ Bearish" label in corner for immediate bias assessment Thick CCI line (width 3) for easy visibility Yellow MA line for trend direction confirmation Trading Applications Trend Identification Use CCI position relative to 50 midline for trend bias MA line confirms trend strength and direction Long periods (110/30) optimized for capturing sustained trends Potential Reversal Zones Gradient fills highlight overbought/oversold extremes Watch for CCI crossing the 50 level for trend change signals Combine with MA line crosses for confirmation Market Sentiment Assessment Quick visual scan of color reveals current market bias Label provides unambiguous bullish/bearish classification Multiple timeframes supported through adjustable periods Usage Recommendations 📈 For Trend Following: Trade in direction indicated by CCI > 50 (bullish) or ≤ 50 (bearish) Use MA line as dynamic support/resistance for CCI Consider entries when CCI pulls back toward 50 in trend direction 🔄 For Mean Reversion: Watch for extremes in gradient zones for potential reversals Monitor for CCI crossing back through 50 after reaching extremes Use MA line as confirmation for reversal validity ⚖️ For Confirmation: Pair with other indicators for signal confirmation Use as secondary tool to validate primary trading system signals Adjust periods to match your trading timeframe Customization Options CCI Length: Adjust sensitivity (higher = smoother, lower = more responsive) MA Type & Length: Choose smoothing method and period Visual Elements: All colors and fills are built-in but based on logic conditions Unique Advantages Immediate Clarity: Color-coding and label remove interpretation ambiguity Enhanced Visualization: Gradient fills provide intuitive overbought/oversold zones Dual Analysis: Combines oscillator (CCI) with trend tool (MA) in one view Flexible Configuration: Multiple MA types accommodate different trading styles This indicator transforms the traditional CCI into a comprehensive trading tool that provides clear visual cues for market direction, momentum extremes, and trend confirmation—all in a single, customizable package.
Pine Script® 인디케이터
Tiagorocha1989의
MACD RSI EMA AGGRESSIVE + ATR SLTP (ALL COIN)This indicator is designed for aggressive scalping and intraday trading, especially on crypto futures. It combines: - MACD crossover for momentum direction - RSI filter to avoid weak signals - EMA trend filter to follow market bias - Volume confirmation to reduce false signals - ATR-based SL/TP visualization for risk management The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes. Best used on lower timeframes (1m–5m) with proper risk management.
Pine Script® 인디케이터
allegraclift5의
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures. It combines: - MACD crossover for momentum direction - RSI filter to avoid weak signals - EMA trend filter to follow market bias - Volume confirmation to reduce false signals - ATR-based SL/TP visualization for risk management The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes. Best used on lower timeframes (1m–5m) with proper risk management.
Pine Script® 인디케이터
allegraclift5의
Gold AI: Hyper-Frequency 1minute Scalper The Gold AI: Hyper-Frequency is a high-precision scalping tool specifically engineered for the unique volatility of XAUUSD on lower timeframes (1m, 5m). Unlike traditional lagging indicators, this script utilizes a Lorentzian Distance Classifier —a machine learning approach that finds historical price fractals similar to current market conditions to predict the next high-probability move. This indicator is designed for "Hyper-Frequency" trading, meaning it prioritizes capturing multiple micro-moves while using a three-stage Dynamic Take Profit system to let "runners" extend during strong momentum bursts. █ THE AI CORE: LORENTZIAN CLASSIFICATION Instead of standard Euclidean distance, this script employs Lorentzian Distance . This metric is superior for financial time series because it is less sensitive to extreme outliers, allowing the AI to identify patterns in "noisy" 1-minute gold charts that other models might miss. The AI evaluates three key "features" to find matches: 1 — RSI (7): Momentum and overbought/oversold status. 2 — MFI (7): Money Flow Index to track institutional volume. 3 — ROC (3): Rate of Change to detect immediate velocity. █ DYNAMIC PROFIT SCALING To solve the "Gold Problem"—where price often spikes past targets or reverses instantly—we implemented a 3-Stage Profit Extender: • Stage 1 (Initial TP): Targets a quick scalp (default 1.0 ATR). • Stage 2 (Extension): If momentum remains strong, the TP is automatically pushed further. The Stop Loss moves to Breakeven at this stage. • Stage 3 (Moonshot): For high-velocity moves, the TP extends to a major multiplier while the Stop Loss trails the previous candle's high/low. █ KEY FEATURES • K-Neighbors Engine: Analyzes the 'K' most similar historical instances to generate buy/sell "votes." • Sensitivity Control: Adjust how strictly the AI matches patterns. Lower values = higher accuracy; higher values = more frequent trades. • Volatility Filter (ATR): All targets and stops are mathematically pegged to current volatility, ensuring the script adapts whether the market is quiet or explosive. • Volume Gatekeeper: Filters out "fake-outs" that occur on low-volume retail spikes. █ HOW TO USE Asset: Optimized for XAUUSD (Gold). Timeframe: Best performance on 1m or 5m charts. Session: High-frequency signals are most reliable during London and New York sessions. Confirmation: For maximum safety, enable the "Filter by 200 EMA" in settings to only take trades in the direction of the macro trend. Disclaimer: Trading Gold involves high risk. This AI tool is designed to assist in decision-making and pattern recognition. Always perform your own due diligence and use proper risk management. Past performance does not guarantee future results.
Pine Script® 인디케이터
YuvarajNg의