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M-oscillator

Z-Score Predictive Zones [AlgoPoint]Z-Score Predictive Zones This indicator is an advanced evolution of the classic Z-Score (Standard Score) oscillator. Unlike traditional Z-Score indicators that use static overbought/oversold levels (e.g., +2.0 or -2.0), this script utilizes a dynamic memory system to identify where the market statistically tends to reverse based on recent history. It provides a dual-view system: it displays the oscillator in the bottom pane and simultaneously projects those statistical extremes onto the main chart as Predictive Support and Resistance Zones. 1. Underlying Concept & Math The core calculation is based on the Standard Score formula: Z = (Price - Mean) / Standard Deviation - Adaptive Thresholds : The script detects pivot points (peaks and troughs) in the Z-Score history. It stores the most recent reversals (based on user-defined depth) and calculates the average level where the market has historically reversed. - Reverse Engineering (Price Projection) : The script takes these average Z-Score reversal levels and reverse-engineers the formula to find the corresponding price on the main chart: Projected Price = Mean + (Target Z * Standard Deviation) - Noise Reduction : The raw Z-Score is smoothed using a Volume Weighted Moving Average (VWMA) to reduce false signals. 2. Key Features Dynamic Predictive Zones (Main Chart): - Red Zone (Resistance) : Represents the price area where the Z-Score hits its historical average peak. - Green Zone (Support) : Represents the price area where the Z-Score hits its historical average trough. Note: These zones expand and contract based on market volatility (Standard Deviation). Dual Visualization: - Bottom Pane : Shows the Z-Score oscillator with the calculated dynamic steps. - Main Chart : Uses force_overlay=true to draw the corresponding price channels directly on the candles, allowing for real-time price action analysis. - RSI Gradient Coloring : The oscillator line changes color based on RSI (Relative Strength Index) values to provide additional momentum context (Purple/Blue gradients). - Signal Dots : Plots small circles on the main chart when the price enters these extreme statistical zones, indicating a potential mean reversion opportunity. 3. How to Use This indicator is best used for Mean Reversion strategies. - Potential Short : When price enters the Red Zone (Upper Channel) and a red dot appears, the price is statistically overextended relative to its recent volatility profile. - Potential Long : When price enters the Green Zone (Lower Channel) and a green dot appears, the price is statistically undervalued relative to the mean. - Trend Warning : If the price candles close forcefully beyond these zones and the zones begin to widen rapidly, it may indicate a breakout or a strong trend initiation rather than a reversal. 4. Settings - Z-Score Length : The lookback period for the Mean and Standard Deviation. - Lookback Depth : How many past reversal points the script should "remember" to calculate the average zones. - Reversal Thresholds : The minimum Z-Score value required to register a peak or trough as a valid data point. - Visuals : Toggle signal dots on/off.
Pine Script® göstergesi
Iamalala tarafından
GCM Volume-Price EssenceTITLE: GCM Volume-Price Essence DESCRIPTION: “Stop trading fake moves. Start seeing the Essence of the market.” Most indicators fail because they only look at Price. They are blind to the "Fuel" behind the move. The GCM Volume-Price Essence (GCM VPE) is a next-generation market structure tool that mathematically fuses Price Action with Volume Impact. It filters out low-volume "noise" and highlights high-volume "true moves." HOW IT WORKS (The Math Behind the Magic) Unlike standard oscillators (RSI/MACD), the GCM VPE uses a proprietary Volume Impact Engine: Momentum = PriceChange X Log(1 + VolumeRatio) • Scenario A: Price moves up 5%, but Volume is low → The indicator ignores it (Fakeout). • Scenario B: Price moves up 2%, but Volume is massive → The indicator spikes (True Breakout). KEY FEATURES 1. The Quantum Flow Index (QFI) The main line that oscillates with the market. It uses an Waves Gradient System: • Green Waves: Strong Bullish Volume Flow. • Red Waves: Strong Bearish Volume Flow. • Gradient Fills: Show the strength of the trend visually. 2. The Quantum Base Line (Dynamic Center) The "Gravity Center" of the market. • Blue Line: The trend is Bullish (Look for Buys). • Orange Line: The trend is Bearish (Look for Sells). • Strategy: Trade in the direction of the Base Line. 3. Triple Candle Divergence (The "Sniper" Feature) ⚡ A specialized algorithm that detects Instant Momentum Shifts. • Bullish Div (⚡): Price makes 3 Lower Lows, but Flow turns UP. • Bearish Div (⚡): Price makes 3 Higher Highs, but Flow turns DOWN. • Use Case: Excellent for catching tops and bottoms in ranging markets. 4. Signal Symbols • ◆ (Diamond): Anticipation Signal. The Flow is preparing to cross (Early Warning). • ⚡ (Lightning): Divergence Signal. Price and Momentum disagree (Reversal Likely). • ▲ / ▼ (Triangle): Continuation Signal. Strong Volume confirms the trend is continuing. 5. Dynamic Zones (Non-Repainting) The gray/colored bands represent the "Elastic Limits" of price. • When the QFI enters the Upper Zone, the market is Overextended (Potential Reversal). • When the QFI enters the Lower Zone, the market is Undervalued (Potential Bounce). HOW TO TRADE 🟢 THE BUY SETUP (Long) 1. Trend Check: Ensure the Quantum Base Line is Blue. 2. The Trigger: Wait for the QFI line to cross UP through the Base Line (Look for the ◆ Diamond). 3. The Sniper Entry (Optional): If you see a ⚡ (Lightning) symbol at the bottom of a pullback, this is a high-probability reversal entry. 4. Exit: Close the trade when the QFI hits the top Red Zone (Overbought). 🔴 THE SELL SETUP (Short) 1. Trend Check: Ensure the Quantum Base Line is Orange. 2. The Trigger: Wait for the QFI line to cross DOWN through the Base Line (Look for the ◆ Diamond). 3. The Sniper Entry (Optional): If you see a ⚡ (Lightning) symbol at the top of a rally, this is a high-probability reversal entry. 4. Exit: Close the trade when the QFI hits the bottom Green Zone (Oversold). IMPORTANT: TRADING OPTIONS? READ THIS CAREFULLY Option volume is often "fragmented" across hundreds of different strike prices, which can give false signals on individual contracts. • The Strategy: Apply this indicator to the Spot or Futures chart of the underlying asset (e.g., SPY, NIFTY, BTC). • The Execution: When the indicator generates a Signal (⚡/◆) on the main chart, then execute your trade on the Option Contract. • IMPORTANT CAUTION: Do not use this tool directly on an illiquid Option Strike. SETTINGS & CUSTOMIZATION • Volume Impact Factor: Adjust how sensitive the tool is to volume spikes (Default: 1.5). • Divergence Lookback: Choose how many candles to analyze for reversals (Default: 3). • Full Color Control: Customize every wave, line, and signal color to fit your chart theme. DISCLAIMER: This tool is for educational and analytical purposes only. Volume analysis works best on assets with real volume data (Stocks, Crypto, Futures). For option contract, read Important Note sited above Do not use this tool directly on an illiquid Option Strike
Pine Script® göstergesi
uniGram tarafından
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® göstergesi
MarkitTick tarafından
Relative Valuation Oscillator [QuantAlgo]🟢 Overview The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation: log_price = math.log(close) mean_log_price = ta.sma(log_price, lookback_period) standard_deviation = ta.stdev(log_price, lookback_period) valuation_score = (log_price - mean_log_price) / standard_deviation First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes. Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference: mean_log_price = ta.sma(log_price, lookback_period) Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior: standard_deviation = ta.stdev(log_price, lookback_period) The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero: valuation_score = (log_price - mean_log_price) / standard_deviation Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples: is_overvalued = valuation_score > threshold_mult is_undervalued = valuation_score < -threshold_mult This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation. 🟢 Signal Interpretation ▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies ▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities ▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold. ▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers. ▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
Pine Script® göstergesi
QuantAlgo tarafından
Swing Trade StrategySwing Trade Strategy 📊 Overview Multi-indicator trend-following system for cryptocurrency swing trading. Combines 10 technical indicators with weighted voting to identify high-probability trend reversals. 🎯 Key Features 10 indicators with weighted consensus voting (max 13 points Bull/Bear) Trend confirmation system reduces false signals Visual signals: Green/red trend line, buy/sell arrows, position backgrounds Real-time dashboard: Shows Bull/Bear scores and trend strength Long-only positions with automatic exits during bear markets 📈 How It Works Entry: When Bull score exceeds Bear score by +2 (WEAK BULL) or +5 (STRONG BULL), confirmed over 2 bars Exit: When Bear score exceeds Bull score by -2, confirmed over 2 bars Indicators: RMI, ALMA, CTI, EMA crossovers, DEMA DMI, Stochastic, Trend Oscillators, and more 📊 Performance Characteristics Trades: 4-5 per year (swing trading approach) Win Rate: 39% (fewer wins but larger gains) Profit Factor: 2.4+ (winners are 2.4x larger than losers) Max Drawdown: -42% ⚙️ Settings Timeframe: Daily (1D) recommended Position Size: 95% of equity Commission: 0.1% per trade Asset: Optimized for BTC/crypto 💡 Usage Apply to BTC Daily chart Green arrow = BUY, Red arrow = SELL Monitor dashboard for trend strength Hold positions until opposite signal ⚠️ Risk Warning Max 42% drawdown - high risk tolerance required Long-only strategy - no shorting Optimized for crypto markets Past performance ≠ future results Version: 1.0 | Pine Script: v6 | Style: Trend Following
Pine Script® stratejisi
Optimized4U tarafından
Fast Cross (9/20) + EMA 50// @version=5 indicator("Engineer's System: Fast Cross (9/20) + EMA 50", overlay=true) // ========================================== // 1. SETTINGS // ========================================== group_ma = "Moving Averages" maLength = input.int(20, title="Main MA (EMA 20)", group=group_ma) ema9Length = input.int(9, title="Signal MA (EMA 9)", group=group_ma) ema50Length = input.int(50, title="Trend MA (EMA 50)", group=group_ma) ema200Length = input.int(200, title="Filter MA (EMA 200)", group=group_ma) group_macd = "MACD Logic" fastLen = input.int(12, title="MACD Fast", group=group_macd) slowLen = input.int(26, title="MACD Slow", group=group_macd) sigLen = input.int(9, title="MACD Signal", group=group_macd) group_ut = "UT Bot Settings" ut_key = input.float(1.0, title="Key Value", step=0.1, group=group_ut) ut_period = input.int(10, title="ATR Period", group=group_ut) ut_showLine = input.bool(false, title="Show Trailing Line?", group=group_ut) // ========================================== // 2. CALCULATIONS // ========================================== maVal = ta.ema(close, maLength) // EMA 20 ema9Val = ta.ema(close, ema9Length) // EMA 9 ema50Val = ta.ema(close, ema50Length) // EMA 50 ema200Val = ta.ema(close, ema200Length) // EMA 200 // MACD for Colors = ta.macd(close, fastLen, slowLen, sigLen) bool isGreenZone = macdLine > signalLine // UT Bot Logic xATR = ta.atr(ut_period) nLoss = ut_key * xATR src = close xATRTrailingStop = 0.0 xATRTrailingStop := if src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) math.max(nz(xATRTrailingStop ), src - nLoss) else if src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) math.min(nz(xATRTrailingStop ), src + nLoss) else if src > nz(xATRTrailingStop , 0) src - nLoss else src + nLoss pos = 0 pos := if src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) 1 else if src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) -1 else nz(pos , 0) utBuy = (pos == 1) and (pos == -1) utSell = (pos == -1) and (pos == 1) // ========================================== // 3. PLOTTING // ========================================== // Plot Lines plot(ema200Val, title="EMA 200", color=color.white, linewidth=2) plot(ema50Val, title="EMA 50", color=color.blue, linewidth=2) // EMA 9 & 20 with Cloud color mainColor = isGreenZone ? color.lime : color.red color ema9Color = ema9Val >= maVal ? color.aqua : color.purple p_ema20 = plot(maVal, title="EMA 20", color=mainColor, linewidth=3) p_ema9 = plot(ema9Val, title="EMA 9", color=ema9Color, linewidth=2) fillColor = ema9Val >= maVal ? color.new(color.aqua, 85) : color.new(color.purple, 85) fill(p_ema9, p_ema20, color=fillColor, title="Cloud EMA 9-20") // ========================================== // 4. SIGNALS (UPDATED) // ========================================== // --- สัญญาณหลัก (Fast Cross) --- // แสดงทันทีที่ 9 ตัด 20 (ไม่ต้องสนเส้น 50) fastBuy = ta.crossover(ema9Val, maVal) fastSell = ta.crossunder(ema9Val, maVal) plotshape(fastBuy, title="Fast Buy", style=shape.labelup, location=location.belowbar, color=color.lime, text="BUY", textcolor=color.white, size=size.tiny) plotshape(fastSell, title="Fast Sell", style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL", textcolor=color.white, size=size.tiny) // --- UT Bot Signals (Dots) --- // ยังคงกรองด้วย EMA 200 เพื่อความปลอดภัย validBuy = utBuy and (close > ema200Val) validSell = utSell and (close < ema200Val) plotshape(validBuy, title="Trend Buy Dot", style=shape.circle, location=location.belowbar, color=color.lime, size=size.tiny) plotshape(validSell, title="Trend Sell Dot", style=shape.circle, location=location.abovebar, color=color.red, size=size.tiny) // ========================================== // 5. ALERTS // ========================================== alertcondition(fastBuy, title="Buy Signal", message="Engineer System: BUY (9 Cross 20) 🚀") alertcondition(fastSell, title="Sell Signal", message="Engineer System: SELL (9 Cross 20) 🔻") alertcondition(validBuy, title="Trend Buy Dot", message="Trend System: UT Bot BUY (Above EMA 200) 🟢") alertcondition(validSell, title="Trend Sell Dot", message="Trend System: UT Bot SELL (Below EMA 200) 🔴")
Pine Script® göstergesi
yongyos987 tarafından
Double Relative Strength Index - DRSI🎯 Overview This is the Double Relative Strength Index (DRSI) indicator for TradingView - an advanced momentum oscillator that applies a unique mathematical transformation to traditional RSI, creating amplified signals with reduced lag while maintaining trend awareness ⚡ 🧩 Core Components ⚙️ Indicator Settings 🎛️ Input Parameters A. 🎨 Color Settings: 6 different color themes: 🎨 Classic, ✨ Neon, 🚀 Modern, 💪 Robust, 🌈 Accented, ⚫⚪ Monochrome Each theme provides distinct bullish/bearish color pairs B. 📊 DRSI Configuration: 📏 Length: Default 14 periods 📈 Source: Default close price (customizable) 📈 Long Threshold: Default 57 (asymmetric upper level) 📉 Short Threshold: Default 56 (asymmetric lower level) 🧮 Technical Calculations A. 📈 Double RSI Formula: DRSI = 2 × RSI - RSI(RSI) First: Standard RSI calculation Second: RSI applied to first RSI values Mathematical transformation amplifies momentum changes B. 🔄 State Tracking System: State persists until opposite threshold is crossed Reduces whipsaws through state memory C. 🔔 Signal Detection: 🟢 isBull_D_RSI: (bullish condition) 🔴 isBear_D_RSI: (bearish condition) 🟢 Bull_D_RSI: Crossover signal (DRSI crosses above Long Threshold) 🔴 Bear_D_RSI: Crossunder signal (DRSI crosses below Short Threshold) 👁️ Visual Elements A. 📉 Main Plots: 📊 DRSI Line: Thick line (width 2) colored conditionally based on position relative to thresholds 🎯 Long Threshold Line: Upper boundary with thematic bullish color 🎯 Short Threshold Line: Lower boundary with thematic bearish color B. 🎨 Fill Areas: 🟢 Overbought Zone: Filled between DRSI and Long Threshold 🔴 Oversold Zone: Filled between DRSI and Short Threshold 🌈 Dynamic Middle Fill: Adaptive area that shifts based on market state C. 📊 Enhanced Visualization: 🎨 Colored Candles: Price bars colored based on DRSI signal state 🔺 Signal Markers: Triangle indicators above/below bars for entry signals 📝 Current Value Label: Real-time DRSI value displayed on last bar D. 📋 Table Display: Shows "⬆️ Bullish", "⬇️ Bearish", or "🔀 Reversion" with appropriate coloring 🔔 Alert System 🟢 LONG Alert: Triggers when DRSI crosses above Long Threshold 🔴 SHORT Alert: Triggers when DRSI crosses below Short Threshold Includes ticker symbol in alert message 🏁 Trading Logic 🎯 Primary Signals: 🟢 Bullish Setup: 📈 DRSI crosses above Long Threshold (57) 📊 Bullish state persists while DRSI > Short Threshold 🎨 Visual: Theme bull colors, bullish fills, up triangles 🔴 Bearish Setup: 📉 DRSI crosses below Short Threshold (56) 📊 Bearish state persists while DRSI < Long Threshold 🎨 Visual: Theme bear colors, bearish fills, down triangles ✨ Key Features: ⚡ Amplified Momentum: Double calculation provides faster response than standard RSI 🛡️ State Persistence: Reduces whipsaws by maintaining signal until opposite threshold crossed 🎯 Asymmetric Thresholds: 57/56 levels account for market bias vs traditional 70/30 👁️ Multi-Layer Visualization: Candles, fills, markers, and table provide comprehensive view 🛠️ Customizability: Six color themes adapt to different preferences and trading styles 💻 Code Structure The script is well-organized with clear sections: ⚙️ Input settings 🧮 DRSI calculations 🔄 State tracking logic 🎨 Color definitions 📊 Multi-layer plotting 📋 Table display 🔔 Alert conditions 🎯 Best Use Cases 📈 Momentum Trading: Detects accelerating/decelerating momentum with reduced lag 🔄 Swing Trading: Asymmetric thresholds work well for swing entry/exit points ⚡ Responsive Signals: Faster than traditional RSI for timely entries 📊 Multi-Timeframe Analysis: Works across various timeframes for confirmation ✅ Signal Filtering: State persistence filters out noise and false breakouts 🏆 Unique Advantages 🎯 Mathematical Innovation: DRSI formula transforms traditional oscillator behavior 🛡️ Reduced Whipsaws: State tracking prevents premature signal reversals 👁️ Comprehensive Display: Four visual layers (candles, fills, markers, table) communicate clearly ⚡ Balanced Responsiveness: Faster than traditional RSI but more stable than raw momentum 💼 Professional Presentation: Clean, modern interface suitable for serious trading analysis
Pine Script® göstergesi
Tiagorocha1989 tarafından
Mizan Trinity OscillatorTitle: Mizan Trinity Oscillator Description: Introduction: The Truth Behind Price Price action can be deceptive. A rising candle does not always mean a rising trend. In the philosophy of Mizan, a price movement is an "Ontological Illusion" unless it is supported by three fundamental forces: Velocity, Money, and Mass. The Mizan Trinity Oscillator (MTO) is designed to synthesize these three forces into a single, highly responsive frequency line. It acts as the "Engine Gauge" for your chart, telling you if the trend has fuel or if it's running on fumes. The Trinity Synthesis (The Formula) Unlike standard oscillators (RSI, Stochastic) that only look at price, MTO combines three distinct data sets using a weighted "L-Score" algorithm: Velocity (CCI): Represents the speed and momentum of the move. (Default Weight: 35%) Money Flow (CMF): Represents the fuel injected into the market. (Default Weight: 45%) Mass (OBV): Represents the volume weight behind the move. (Default Weight: 20%) Unique Innovation: "Silence Mode" The most critical feature of MTO is its ability to stop talking. The Gray Thin Line: When the market enters a "Choppy/Turbulent" phase or when volume drops significantly, the oscillator turns GRAY and becomes THIN. Meaning: This is "Noise". The system is telling you that the data is unreliable. Do not trade when the line is gray. How to Use: Trend Following: Thick Turquoise Line: Positive Flow (Valid Buying Pressure). Thick Orange Line: Negative Flow (Valid Selling Pressure). The "Ontological Divergence": If Price is making a New High, but MTO is dropping (Orange) or turning Gray, this is a major warning. It means the "Smart Money" has stopped buying, and the price is rising only due to retail inertia. This is often a Bull Trap. The Sniper Entry: Wait for the line to switch from Gray (Silence) to a thick colored line. This indicates that clarity has returned to the market. Dashboard: The panel on the top right shows the current Trinity Score (0-100) and the market Mode (Positive, Negative, or Silent). Author's Note: This tool is created to help traders filter out the noise. If the oscillator is Gray, sit on your hands. If it's diverging, protect your capital. Trade the truth, not the illusion.
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muratkavak02 tarafından
Price Efficiency Ratio (PER) [SharpStrat]Price Efficiency Ratio (PER) The Price Efficiency Ratio (PER) is built around a simple question: how efficiently is the market moving from its starting point to its current point? Price often moves in indirect ways. Sometimes it travels cleanly in one direction with very little noise, and sometimes it spends more energy moving up and down than actually progressing. PER quantifies this behavior and turns it into a clear, readable number that identifies whether the market is behaving like a trend or a range. To make the idea intuitive, imagine walking from point A to point B. If you walk straight, you arrive efficiently. If you zigzag, backtrack, or wander before reaching the same point, your total travel distance becomes much larger than the straight line distance. PER applies this exact idea to price movement. How the Indicator Computes Efficiency The indicator measures two distances over the selected lookback period: Net Distance: This is the absolute distance between the closing price now and the closing price at the start of the lookback period. It represents how far the market has actually progressed. Total Distance: This is the sum of every bar to bar price change within that same period. Every small rise, drop, spike, reversal, and retrace is included. These two distances are then compared: PER = (Net Distance / Total Distance) × 100 The result is a 0-100% reading where: HIGH values (above threshold) = Price moved efficiently in one direction = Trending LOW values (below threshold) = Price zigzagged without net progress = Ranging Understanding High PER vs Low PER The easiest way to see what PER measures is by observing how price travels between two points. The image below shows a clean directional movement compared to a choppy, back and forth one. On the left, the market moves steadily from point A to point B with only small interruptions. Most of the movement contributes directly toward the final destination. Because the total distance is close to the straight line distance, PER is high. This represents a trending environment where trend following tools typically perform well. On the right, the market still reaches point B, but the path is filled with reversals. Price spends more time oscillating than progressing. Total distance becomes much larger than net distance, which produces a low PER. This represents a ranging or mean-reversion environment, where fading extremes and playing inside the range tends to be more appropriate. In simple terms: High PER means price is moving with intention and direction. Low PER means price is moving inefficiently and indecisively. How to Use PER PER is not a signal generator by itself. It is a market regime classifier, and its strength lies in selecting the right strategy for the right environment. When PER is above the threshold (Trending Environment) Price is moving efficiently. Most bars contribute to the same directional bias. This is when trend following strategies excel. Examples include: Breakouts Pullback entries into trend direction Moving average crossovers In these situations, using mean-reversion is generally less effective. When PER is below the threshold (Ranging / Mean-Reversion Environment) Price is inefficient and oscillatory. The market wastes movement and fails to make directional progress. Examples include: RSI overbought/oversold reversals Bollinger Band bounces Liquidity sweeps and reversals Breakouts tend to fail more frequently in these conditions. Example: Below is a section of the S&P 500 on the daily timeframe showing both trending and ranging conditions, along with how PER responded to each. This chart shows how PER naturally separates trending phases from ranging phases using objective efficiency rather than subjective chart reading. It demonstrates exactly how the indicator identifies regime changes and helps you understand what kind of behavior the market is currently showing. Features & Settings Dynamic vs Fixed Threshold Threshold- Different markets and timeframes produce different typical PER values. Fixed Threshold: You choose the efficiency level manually. Useful if you trade the same instrument and know the PER levels that define a trend for it. Dynamic Threshold: The threshold is calculated from historical PER distribution. This adapts automatically to each timeframe and each asset, aligning the threshold with what is normal for that chart. It reduces manual tuning and produces more consistent regime classification. Smoothing Option Raw PER can fluctuate rapidly on lower timeframes. Smoothing helps reveal the underlying efficiency trend more clearly. Volume Weighted PER A volume weighted mode is also included. When enabled, price movement occurring during high volume bars has more influence, making PER more meaningful on assets where volume impacts trend quality. Information Box The information box provides quick context, including the current PER value, the current regime (trending or ranging), and whether the threshold mode is fixed or dynamic. It is designed to make interpretation instant without additional settings or visual clutter. Summary PER will not tell you when to buy or sell. PER doesn't predict the future or generate signals. It simply tells you what kind of market you're in right now. The value is in knowing when to apply trend strategies versus mean reversion strategies. A lot of traders already have good tools they just use them in the wrong conditions. PER helps you avoid that mistake. Use it as part of your overall analysis, not as a standalone system. This indicator is open source and free. If you find it useful, a like or comment helps others discover it. Risk Disclaimer: For educational purposes only. Trading involves risk. No indicator guarantees profits. Use proper risk management.
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SharpStrat tarafından
Intraday Cumulative Volume RatioThis indicator is designed to reveal the true order flow dominance from the start of the trading session. Unlike standard oscillators, it calculates the exact ratio between cumulative buying and selling volume using high-precision intrabar data. It answers a simple question: "How many times stronger is the buying pressure compared to selling pressure (or vice versa) since the market opened?" Key Features: Zero-Based Ratio: 0.0 = Perfectly balanced market (1:1). +1.0 = Buyers have 2x more volume than sellers. +2.0 = Buyers have 3x more volume than sellers. Negative values indicate seller dominance. Intrabar Precision: Uses lower timeframe data (e.g., 1-minute) to look inside higher timeframe candles for accurate volume classification. "Market Fuel" Filter: Helps identify stocks with sufficient momentum at the open. If the ratio stays low (near 0), the stock lacks the "fuel" for a sustained move. Clamp Function: Includes a built-in limiter (default 3.0) to prevent chart distortion caused by extreme volume anomalies at the market open. How to use: Identify Trend Strength: Look for values above +2.0 (or below -2.0) to confirm strong directional conviction. Filter Weak Stocks: If the indicator hovers around 0, avoid trading as there is no clear order flow advantage. Spot Divergences: If price makes a new high but the Ratio makes a lower high, the buying pressure is fading relative to selling pressure. Settings: Reset Period: Default is Daily (D). Analytical Timeframe: Set to 1 (minute) for best accuracy. Clamp Limit: Default is 3.0 to keep the chart readable.
Pine Script® göstergesi
martinschlosinger tarafından
BULL-BEAR-WALLDEMPurpose and Overview Designed for minimalistic charting, this indicator computes RSI (default 14-period on close) but hides all visuals—plots, bands, fills, and smoothing—to focus solely on divergence signals. With overlay=true, it integrates labels onto the main price chart, eliminating separate panes and scale issues. Divergences highlight momentum-price mismatches: bullish for potential upturns (e.g., weakening downtrends), bearish for downturns (e.g., fading rallies). The calculateDivergence input (default false) gates the logic, optimizing for user control and performance. Technical Implementation RSI Core: Employs ta.change(), ta.rma() for up/down averages, yielding rsi = 100 - (100 / (1 + up / down)). Divergence Module: Uses ta.pivotlow()/ta.pivothigh() with fixed lookbacks (left/right: 5) and range filter (5-60 bars). Conditions: Bullish (rsiHL && priceLL), Bearish (rsiLH && priceHH), evaluated conditionally. Rendering: plotshape() for labels (" Bull "/ " Bear ") at bar extremes (location.belowbar/abovebar), offset by -lookbackRight. Colors: green bull, red bear. Hiding: color=na for plots/hlines; transparent color.new(..., 100) for fills. Smoothing via switch (SMA/EMA/etc.) but invisible. Alerts: alertcondition() with pivot context messages. The structure prioritizes readability: grouped inputs, modular functions, and no unnecessary visuals. Usage Scenarios and Tips Apply to trending markets—e.g., 4H BTCUSD for crypto reversals or daily TSLA for stock pullbacks. Enable divergence in settings; labels offset to pivots aid quick scans. Pair with volume or trends for confirmation; alerts enable real-time monitoring. For backtesting, adapt to strategy() using conditions as entry signals. Customization Options Inputs: RSI length (min 1), source, divergence toggle (hidden display). Smoothing: Hidden group with MA types, lengths, BB multipliers. Extensions: Expose lookbacks as input.int(); add hidden divergences or MTF via request.security(). Limitations and Considerations Signals rely on data: No divergences mean no labels; adjust parameters for sensitivity. Repainting possible on live bars; best on closed data. Not standalone: Divergences (55-65% historical accuracy per studies) need context to avoid false positives in strong trends. v6-dependent; compatible but feature-limited in v5.
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walldem tarafından
Volume Conviction Index v1.0Volume Conviction Index (VCI) v1.0 This indicator helps answer a simple question: Does this price move have real strength behind it, or is the volume too weak to trust??? It measures "conviction" through how many participants are in the marketplace by looking at volume in a smart, reliable way: - Spots unusual volume surges (buying or selling pressure) that stand out from normal (median line plotted) levels. - visually helps with discretionary calls and allows the median avg of participation not just volume to be 'seen' - Blends recent volume changes with how volume compares to its typical range. How to read the chart (super straightforward): - Teal columns above the zero line: Strong buying conviction — volume supporting the up move (good sign for breakouts or holds). - Orange columns below zero: Strong selling conviction — heavy participation on the downside (watch for reversals or weakness on rallies). - Flat/small bars near zero: Low conviction — price might be moving on fumes (often leads to fakeouts or quick fades). - Optional white dashed line (the "median conviction"): A smoothed version over the last few bars. If it crosses zero or diverges from price, it can signal shifting momentum. index works the same for both bears and bulls. teal bars in the positive are above participation or conviction in both bearish and bullish participation. also allows identifying exhaustion in both bearish and bullish scenarios. works well equally on lower TFs and higher TFs Why use it: It uses robust statistics (rolling median volume + Median Absolute Deviation for a "z-like" score) instead of plain averages — much better at handling noisy or outlier-heavy markets like crypto, forex, or stocks during news events. Then it adds a weighted mix of short-term volume acceleration and relative volume for better context. Great for: - Beginners: Start with defaults — the colors and zero line make it easy to see at a glance. - Day/swing traders: Filter entries/exits with real participation (e.g., teal spike on support bounce = higher odds). - Anyone learning volume: Shows clearly when moves have "muscle" vs. when they're suspect. Quick usage tips: - Best on 5m to 4h charts with good volume data. - Combine with price action, levels, or your favorite tools — use VCI to confirm conviction. - Toggle the median line in settings if your timeframe is noisy. Defaults work well across most assets — adjust "Volume Window" for longer/shorter lookback, or "Recent Weight" to emphasize sudden changes more/less. I personally like using it on 1min / 5min / 30min charts. Has a microscope / high-rez feel about it when I'm on quicker TFs. Open-source under © RU55IANROUL3TT3 — feel free to study, fork, or build on it! Feedback welcomed — what markets/timeframes does it help you with?
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RU55IANROUL3TT3 tarafından
VWAP 3 SignalsVWAP D/W/M Dashboard is a simple trend / bias dashboard that compares the current price against three anchored VWAP levels: Daily VWAP Weekly VWAP Monthly VWAP A compact table is displayed in the top-right corner of the chart with 5 rows and 2 columns (Instrument / Status). For each VWAP timeframe, the script shows: Bullish → price is above the VWAP Bearish → price is below the VWAP In addition, the dashboard includes volatility-based market balance readings using ±1 Standard Deviation bands around the anchored VWAP for: Weekly STD Monthly STD STD logic: Balanced market → price is inside the ±1 deviation zone Bullish → price is above +1 deviation Bearish → price is below −1 deviation What it’s used for This tool helps you quickly identify: multi-timeframe VWAP alignment (trend bias / direction) whether the market is trending (outside ±1 STD) or balanced/ranging (inside ±1 STD) It’s designed as a fast “at-a-glance” confirmation panel you can keep on screen while trading. Notes VWAP levels are calculated as anchored VWAPs that reset on each new day/week/month. The dashboard is meant for decision support, not as standalone financial advice.
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panickyTuna45757 tarafından
Market Structure Context Engine (SCE)Market Structure Context Engine (SCE) is a price-geometry based contextual analysis tool designed to help traders understand where price is operating within the broader market structure. Unlike traditional indicators that focus on entries or direction, SCE provides a structural map of the market, highlighting balance, expansion, and key reaction zones that influence how price is likely to behave. 🔹 What This Indicator Shows SCE organizes market structure into three clear dimensions: Structure (Market Frame) Identifies whether the market is operating in a balanced (rotational) environment or a directional (accepting) environment. This helps traders understand whether continuation or mean-reversion behavior is more likely. Regime (Internal Behavior) Distinguishes between rotational and expanding price behavior using swing geometry, offering insight into how price is progressing within the current structure. Location (Context Zones) Highlights structural extreme zones using envelope bands near the upper and lower boundaries of the active range. These zones represent areas of higher sensitivity where reactions, pauses, or failures are more likely. 🎯 How to Use SCE Use SCE as a context overlay, not a signal generator Combine it with momentum, volume, or volatility tools to improve decision quality Expect different behavior near: Structural extremes Balanced vs directional environments Use it to filter trades, manage expectations, and understand risk SCE does not provide buy or sell signals and does not imply bullish or bearish direction. ✅ Key Characteristics Pure market structure and geometry logic Non-directional, context-only design Clean and minimal chart visuals Stable across timeframes Designed to reduce false expectations and improve trade context ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are responsible for their own trading decisions.
Pine Script® göstergesi
Market_Logic_India tarafından
Combined Trend Indicator - OPTIMIZED Combined Trend Indicator - 10 in 1 (Optimized) This powerful trend-following indicator combines 10 proven technical indicators into one unified signal system with weighted scoring. Included Indicators: RMI Trend Sniper TS ALMA Smooth CTI (Correlation Trend Indicator) Sebastine Trend Catcher TS Gunxo Trend Sniper DEMA DMI ViResearch MM For Loop (Misinkomaster) DMI For Loop Trend Oscillator Stochastic For Loop How It Works: Calculates bullish/bearish signals from all 10 indicators Applies weighted scoring (trend indicators get 2x weight) Anti-whipsaw filter requires 2-bar confirmation Displays color-coded trend line below price Signal Levels: 🟢 Strong Bull (Dark Green) - Difference > 4 → BUY/HOLD 🟢 Weak Bull (Light Green) - Difference 1-4 → CAUTION 🔴 Weak Bear (Light Red) - Difference -1 to -4 → REDUCE 🔴 Strong Bear (Dark Red) - Difference < -4 → SELL/EXIT Features: ✓ Real-time score display (Bull/Bear out of 13 points) ✓ Automated alerts for trend changes ✓ Optimized parameters for crypto/Bitcoin ✓ Minimal false signals through confirmation filter Best Used For: Daily (1D) timeframe, Bitcoin and major cryptocurrencies. Can be adapted for other timeframes and assets.
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Optimized4U tarafından
1
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® göstergesi
ken5_5489 tarafından
Volatility Structure Regime Engine (VSgRE)Volatility Structure Regime Engine (VSgRE) Volatility Structure Regime Engine (VSgRE) is a volatility-based market analysis tool designed to highlight when volatility is likely to expand, without implying trade direction. The indicator uses a three-layer analytical framework to identify meaningful volatility events while remaining fully direction-agnostic. 🔹 Structure Layer Defines the broader volatility environment using normalized volatility metrics to distinguish between high- and low-volatility conditions. 🔹 Regime Layer Identifies volatility compression, expansion, and transition phases, helping traders recognize periods of stored or released market energy. 🔹 Execution Layer Detects real-time volatility ignition events that signal the start of meaningful expansion. 📊 Signal Types Strong Signals Indicate valid volatility expansion events within an active volatility regime. Elite Signals Highlight the first volatility expansion following a prolonged compression phase. Signals are represented using neutral bubbles to avoid bullish or bearish bias. ✅ Key Characteristics Pure volatility-based logic Leading, non-directional signals Clean and minimal chart visuals State-based, non-repetitive signaling Suitable for breakout timing, regime analysis, and risk awareness ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions.
Pine Script® göstergesi
Market_Logic_India tarafından
Momentum Structure Regime Engine (MSRE)Momentum Structure Regime Engine (MSRE) Momentum Structure Regime Engine (MSRE) is a professional momentum-based analysis tool designed to help traders identify high-quality directional opportunities with clarity and discipline. The indicator is built on a three-layer momentum framework, where each layer serves a distinct role in market evaluation. 🔹 Structure Layer Identifies the dominant momentum bias and persistence, helping define whether bullish or bearish momentum is structurally in control. 🔹 Regime Layer Evaluates momentum quality by distinguishing between expansion, compression, and weakening phases. This helps filter out low-quality or choppy conditions. 🔹 Execution Layer Detects short-term momentum ignition aligned with structure and regime, highlighting actionable timing opportunities. 📊 Signal Types Strong Signals Indicate the first high-quality momentum opportunity within a new structural move. Elite Signals Appear selectively on the first meaningful pullback during an active momentum phase, offering refined entry opportunities. Signals are state-based and non-repetitive, designed to reduce clutter and avoid over-signaling. ✅ Key Characteristics Pure momentum-driven logic Leading (non-lagging) indicators Clean, minimal chart visuals Non-repainting signals Suitable for intraday and swing trading ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are solely responsible for their trading decisions.
Pine Script® göstergesi
Market_Logic_India tarafından
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.
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lost_sol_ tarafından