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Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse Overview: The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions. Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength. ⚙️ Calculation Logic: The Hyper Strength Index is computed as the normalized average of: 📈 RSI — classic measure of relative momentum. 💪 CMO — captures directional bias and intensity of moves. 💵 MFI — integrates volume and money flow pressure. 🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points. This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator. 🎯 Interpretation: Overbought Zone (Default: > 75): Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow. Oversold Zone (Default: < 7): Suggests bearish exhaustion — a rebound or accumulation phase may emerge. Neutral Zone (Between 7 and 75): Represents balanced market conditions or trend continuation phases. Visual cues highlight key conditions: 🔺 Red Highlights — Overbought regions or downward inflection points. 🔻 Green Highlights — Oversold regions or upward inflection points. Neutral zones are shaded with subtle gray backgrounds for clarity. 💡 Key Features: 🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI). 🔹 Adaptive overbought/oversold detection. 🔹 Visual alerts via colored backgrounds and bar markers. 🔹 Customizable smoothing and length parameters for fine-tuning sensitivity. 🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups. 🧭 Usage Notes: Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX. In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals. In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades. 📘 Summary: The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
אינדיקטור Pine Script®
מאת ‎QuantLapse‎
Relative Performance Tracker [QuantAlgo]🟢 Overview The Relative Performance Tracker is a multi-asset comparison tool designed to monitor and rank up to 30 different tickers simultaneously based on their relative price performance. This indicator enables traders and investors to quickly identify market leaders and laggards across their watchlist, facilitating rotation strategies, strength-based trading decisions, and cross-asset momentum analysis. 🟢 Key Features 1. Multi-Asset Monitoring Track up to 30 tickers across any market (stocks, crypto, forex, commodities, indices) Individual enable/disable toggles for each ticker to customize your watchlist Universal compatibility with any TradingView symbol format (EXCHANGE:TICKER) 2. Ranking Tables (Up to 3 Tables) Each ticker's percentage change over your chosen lookback period, calculated as: (Current Price - Past Price) / Past Price × 100 Automatic sorting from strongest to weakest performers Rank: Position from 1-30 (1 = strongest performer) Ticker: Symbol name with color-coded background (green for gains, red for losses) % Change: Exact percentage with color intensity matching magnitude For example, Rank #1 has the highest gain among all enabled tickers, Rank #30 has the lowest (or most negative) return. 3. Histogram Visualization Adjustable bar count: Display anywhere from 1 to 30 top-ranked tickers (user customizable) Bar height = magnitude of percentage change. Bars extend upward for gains, downward for losses. Taller bars = larger moves. Green bars for positive returns, red for negative returns. 4. Customizable Color Schemes Classic: Traditional green/red for intuitive interpretation Aqua: Blue/orange combination for reduced eye strain Cosmic: Vibrant aqua/purple optimized for dark mode Custom: Full personalization of positive and negative colors 5. Built-In Ranking Alerts Six alert conditions detect when rankings change: Top 1 Changed: New #1 leader emerges Top 3/5/10/15/20 Changed: Shifts within those tiers 🟢 Practical Applications → Momentum Trading: Focus on top-ranked assets (Rank 1-10) that show strongest relative strength for trend-following strategies → Market Breadth Analysis: Monitor how many tickers are above vs. below zero on the histogram to gauge overall market health → Divergence Spotting: Identify when previously leading assets lose momentum (drop out of top ranks) as potential trend reversal signals → Multi-Timeframe Analysis: Use different lookback periods on different charts to align short-term and long-term relative strength → Customized Focus: Adjust histogram bars to show only top 5-10 strongest movers for concentrated analysis, or expand to 20-30 for comprehensive overview
אינדיקטור Pine Script®
מאת ‎QuantAlgo‎
2
Flip to GreenPurpose: This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts. Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal. Concept: Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time. This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space. In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses. Core logic: Imports two custom libraries: MLExtensions for machine-learning utilities KernelFunctions for advanced distance calculations Computes relationships among multiple features (e.g., RSI, ADX, or other inputs). Uses Lorentzian geometry to weight how recent price-time behavior influences current classification. Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence. Why it matters: Most indicators measure what has already happened. Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry. It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools. Recommended use: Run it as a background trend classifier or color overlay. Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis. A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
אינדיקטור Pine Script®
מאת ‎Mando4_27‎
Dollar Volume Ownership GaugePurpose: DVOG tracks the real money moving through a ticker by converting share volume into dollar volume (price × volume). It helps identify when institutional-sized players enter, defend, or unload positions — information that plain volume bars often hide. How it works: Each bar represents 4-minute aggregated dollar volume. Green bars = moderate sponsorship ($400 K–$1 M per 4 min). Red bars = heavy sponsorship ($1 M+ per 4 min). Black bars = normal retail flow (under $400 K). Optional horizontal guides mark both thresholds for quick reference. Alerts: Green Bar Alert: fires every time a bar exceeds $400 K, signaling fresh institutional activity. Cross Alerts: trigger once when dollar volume crosses the $400 K or $1 M levels, perfect for automation or notifications. Why it’s useful: DVOG visually confirms when a breakout, knife-and-reclaim, or coil is being driven by real capital rather than low-liquidity noise. It turns abstract volume into a direct measure of who’s actually in control. Recommended use: Run it in a separate pane below price. Combine with your normal structure analysis — higher lows, double bottoms, coils, etc. — and act only when structure and sponsorship line up.
אינדיקטור Pine Script®
מאת ‎Mando4_27‎
DayTrader Plug and Play Score Strategy HSBeen playing around with automating a strategy and to make something more flexible in updating indicators/ risk reward scenarios. I Trade on 5 min timeframe choosing stocks from a day trading scanner I use to evaluate premarket movement. This script take into account short term EMA crossovers, VWAP, RSI, Candlesticks, and previous day S/R lines to determine buy/sell points. It Mostly runs on a VWAP strategy and will only buy when price is above VWAP and only sell when price is below VWAP. But uses the other indicators as more confirmations. All of these indicators come together to form a score 1-8.5 and gives buy/sell signals based on the score. Strategy is as below: My Stock scanner gives me anywhere from 3-5 stocks per day to trade. (Not included) Strategy will only trade once per day per stock. Strategy closes positions after 2 hours in the market. Strategy closes all positions 5 min before end of day close. Trade size is set to 1% of the account size. The risk is 2% of that trade, reward is 4%. Score threshold for hitting the indicator threshold is set to 5.5 score ^^This is all editable in the script. After building and testing an rebuilding for a few months this has been my most profitable strategy in PAPER TRADING so I thought id share. I enjoy this kind of tinkering and scenario testing. Enjoy!
אסטרטגיית Pine Script®
מאת ‎hjsaliski‎
Triple Stochastic RSITriple Stochastic RSI (TSRSI) The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods. By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement. Key features include: Triple StochRSI smoothing to capture short- to long-term momentum shifts. Dynamic overbought/oversold signals with visual cross markers. Built-in trend sentiment and average streak statistics. Alerts for crossovers, trend shifts, and extended over/underperformance streaks. Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis. The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average. 1. "Current" Column This shows how many consecutive bars the %K has been: Above 50 (▲) OR Below 50 (▼) It updates in real time on the last bar. 2. "Avg ▲ / Avg ▼" Column These are historical averages based on your lookbackPeriod (default 1000 bars). It shows: The average length of time %K stays above 50 (bullish bias) The average time it stays below 50 (bearish bias) Example Breakdown: Let’s say the "Slow" row shows: Current: 7 ▼ Avg ▲ / Avg ▼: 6 / 5 This means: %K on the Slow lane has been below 50 for 7 bars Historically, it only stays below 50 for about 5 bars on average So, this bearish streak is already longer than usual How to Use This Information: A longer-than-average streak could imply a maturing move, potentially near exhaustion. If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift. Good for contextualizing trends and avoiding late entries.
אינדיקטור Pine Script®
מאת ‎XYZ-Trades‎
Manual Range FR1 — Open Source ( Miresync )Made by Rafael Matos (Miresync) EMA 9 – Scalp Trading XAUUSD (Gold) The EMA 9 (Exponential Moving Average) is a short-term moving average widely used by scalpers and day traders to identify quick price movements with precision and agility. In this setup, the EMA 9 acts as a dynamic trend guide, helping to pinpoint entry and exit zones for short, fast trades on XAUUSD (Gold). 🎯 Core Strategy: When price is above EMA 9 → indicates bullish strength → focus on long entries during pullbacks. When price is below EMA 9 → indicates bearish strength → focus on short entries during pullbacks. EMA 9 reacts quickly to direction changes, allowing for short and precise scalps that take advantage of microtrends.
אינדיקטור Pine Script®
מאת ‎gfvix21‎
Reversal Super ScalperUsing Grok I've combined several indicators to be used for scalping reversals. My goal is to make sure it alerts me when all of the below conditions have been met. Indicators that were combined to make this FluidTrades - SMC Lite indicator - by Pmgjiv Money Flow Index MTF + Alerts - by DreamsDefined WaveTrend Filtered Signals (LazyBear Style) - by Uncle_the_shooter Q-Trend - by tarasenko_ This strategy is for scalping on the 5 minute timeframe. This way I can set alerts when the price action is close to demand or support levels marked out by the FluidTrades - SMC Lite indicator, the Money Flow Index MTF + Alerts indicator shows oversold if i'm trying to enter a long position or overbought if I'm trying to enter a short position, and the WaveTrend Filtered Signals indicator pops up a buy/sell signal either on the same 5 min candle or two 5 min candles before the Q-Trend buy/sell signal pops up. Once all of these conditions are met, this is when I would enter into a position at the close of the trigger candle from Q-Trend. Here is an example of how to use this strategy BUY (LONG) SIGNAL CONDITIONS Price action must fall back into a level of demand marked out by the FluidTrades indicator. The candle wick may cross below the demand level, and the candle body may cross slightly below it, as long as the candle does not close below the demand zone. If any candle closes below the demand level, the buy signal created by the Q-Trend indicator is canceled. The WaveTrend Filtered Signals indicator should generate an alert on the current 5 min candle that Q-trend is generating a buy signal or two 5 min candles before it. Money Flow Index (MFI) Condition: On the candle where the buy signal is triggered by the Q-Trend indicator, the MFI must be oversold, with the white line below the 40 level, inside the Red Zone. When the above conditions are met, enter after the close of the BUY signal trigger candle. For the short signal it is the opposite of these conditions.
אינדיקטור Pine Script®
מאת ‎ssippijohnhurt‎
1
Divergence for Many Indicators v5 - No RepaintUses confirmed bar processing to prevent repainting, ensuring signals never change after they appear. Automatically draws divergence lines on the chart and labels show which indicators are diverging. Customizable settings include pivot period, minimum divergence threshold, line styles, and colors for different divergence types. Ideal for identifying potential trend reversals (regular divergence) and trend continuations (hidden divergence) with high-confidence multi-indicator confirmation.
אינדיקטור Pine Script®
מאת ‎mnights‎
1
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION OVERVIEW Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws. Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range. HOW IT WORKS DUAL ALMA SYSTEM The strategy uses two ALMA lines applied to price returns: • Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods) • Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods) ALMA is superior to simple or exponential moving averages because it provides: • Smoother curves with less noise • Significantly reduced lag • Natural resistance to outliers and flash crashes TRADING LOGIC BUY SIGNAL: • Fast ALMA crosses above Slow ALMA (bullish regime) • Price makes new N-bar high (momentum confirmation) • Optional: Price above 200 EMA (macro trend filter) • Optional: ALMA lines sufficiently separated (strength filter) SELL SIGNAL: • Fast ALMA crosses below Slow ALMA (bearish regime) • Optional: Price makes new N-bar low (momentum confirmation) The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months. VISUAL INDICATORS LINES: • Blue Line: Fast ALMA (short-term signal) • Black Line: Slow ALMA (long-term baseline) TRADE MARKERS: • Green Triangle Up: Buy executed • Red Triangle Down: Sell executed • Orange "M": Buy blocked by momentum filter • Purple "W": Buy blocked by weak crossover strength KEY PARAMETERS ALMA SETTINGS: • Short Period (default: 30) - Fast signal responsiveness • Long Period (default: 250) - Baseline stability • ALMA Offset (default: 0.90) - Balance between lag and smoothness • ALMA Sigma (default: 7.5) - Gaussian curve width ENTRY/EXIT FILTERS: • Buy Lookback (default: 7) - Bars for momentum confirmation (required) • Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits) • Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled) • Use Macro Filter (default: true) - Only enter above 200 EMA BEST PRACTICES RECOMMENDED ASSETS - Works well on: • Cryptocurrencies (Bitcoin, Ethereum, etc.) • Major indices (S&P 500, Nasdaq) • Large-cap stocks • Commodities (Gold, Oil) RECOMMENDED TIMEFRAMES: • Daily: Primary timeframe for swing trading • 4-Hour: More active trading (increase trade frequency) • Weekly: Long-term position trading PARAMETER TUNING: • More trades: Lower Short Period (60-80) • Fewer trades: Raise Short Period (100-120) • Faster exits: Set Sell Lookback = 0 • Safer entries: Enable Macro Filter (Use Macro Filter = true) STRATEGY ADVANTAGES 1. Low Lag - ALMA provides faster signals than traditional moving averages 2. Smooth Signals - Minimal whipsaws compared to crossover strategies 3. Asset Agnostic - Same parameters work across different markets 4. Trend Capture - Stays positioned during entire bullish regimes 5. Risk Management - Multiple filters prevent poor entries 6. Visual Clarity - Easy to interpret regime and filter states WHEN TO USE HERMES BEST FOR: • Trending markets (crypto bull runs, equity uptrends) • Swing trading (hold days to weeks) • Position trading (hold weeks to months) • Clear trend identification • Risk-managed exposure NOT SUITABLE FOR: • Ranging/sideways markets • Scalping or day trading • High-frequency trading • Mean reversion strategies RISK DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading. CREDITS Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering. Strategy by Hermes Trading Systems QUICK START 1. Add indicator to chart 2. Use on daily timeframe for best results 3. Look for green buy signals when blue line crosses above black line 4. Exit on red sell signals when blue line crosses below black line 5. Adjust parameters based on your trading style: • Conservative: Enable Macro Filter, increase Buy Lookback to 10 • Aggressive: Disable Macro Filter, lower Short Period to 60 • Default settings work well for most assets
אסטרטגיית Pine Script®
מאת ‎aicccia‎
2
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability. System Rules: -Long entries when the 50 EMA crosses above the 200 EMA. -Stop Loss (SL) placed at the low of 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA. As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time. Recommended Markets and Timeframes: BTCUSDT H6 August 17, 2017 - October 20, 2025 Total trades: 30 Profitability: +1,682.99% Win rate: 40% Outperforms Buy & Hold BTCUSDT H4 August 17, 2017 - October 20, 2025 Total trades: 42 Profitability: +12,213.49% (high and stable performance curve) Win rate: 40% Outperforms Buy & Hold BTCUSDT H2 August 17, 2017 - October 20, 2025 Total trades: 95 Profitability: +2,363.80% Win rate: 24.21% Matches Buy & Hold BTCUSDT H1 August 17, 2017 - October 20, 2025 Total trades: 203 Profitability: +1,045% (stable performance curve) Win rate: 25.62% BTCUSDT 30M August 17, 2017 - October 20, 2025 Total trades: 393 Profitability: +4,205.51% (high and stable performance curve) Win rate: 27.74% Outperforms Buy & Hold BTCUSDT 15M August 17, 2017 - October 20, 2025 Total trades: 821 Profitability: +1,311.97% Win rate: 23.14% Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment. Other markets and timeframes to observe include: -XAUUSD (H1, H4, H6, H8, Daily) -SPX (Daily: +21,302% profitability since 1871 in 40 trades) -Tesla (H1, H2, H4, H6, especially M30 and M15) -Apple (M5, M15, M30, H1, H2, H4…) -Warner Bros (M5, M15, M30…) -GOOGL (M5, M15, M30, H1, H2, H4, H6…) -AMZN (M5, M15, M30, H2, H4, H6…) -META (M5, M15, M30, H1, H2, H4…) -NVDA (M5, M15, M30, H1, H2, H4…) This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold. I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
אסטרטגיית Pine Script®
מאת ‎Especulador96‎
Smart Money Dynamics Blocks — Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry. 1. Mathematical Foundation This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together. Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages. 2. The Pearson Matrix Logic For every prime interval p, the indicator calculates the linear correlation: r_p = corr(price, bar_index, p) Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence. - When avgR > 0.8 → strong positive correlation (labeled R+). - When avgR < -0.8 → strong negative correlation (labeled R−). This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength. 3. Sequential Prime Slope and Median Pivot Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector. The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback. 4. Regression-Style Parallel Bands Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix. These bands adjust dynamically to: - Volatility, via standard deviation of residuals. - Correlation strength, via avgR sign weighting. Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure. 5. Volume and Cumulative Delta Peaks Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts. From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked. This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form. 6. Chart Interpretation The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time. Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure. The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure. 7. Interpretive Insight This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure. It unifies three analytical domains: - Prime distribution — defines a nonlinear temporal architecture. - Pearson correlation — quantifies statistical cohesion. - Cumulative delta — expresses behavioral imbalance in order flow. The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable. 8. Contribution & Feedback Share your observations in the comments: - The time gap and alternation between R+ and R− clusters. - How different timeframes change delta sensitivity or reveal compression/expansion. - Prime intervals/clusters that tend to sit near turning points or liquidity shifts. - How avgR behaves across assets or regimes (trending, ranging, high-vol). - Notable interactions with the parallel bands (touches, breaks, mean-revert). Your field notes help others read the model more effectively and compare contexts. Summary - Primes define the structure. - Pearson quantifies coherence. - Slope median stabilizes geometry. - Regression bands visualize deviation. - Cumulative delta locates imbalance. Together, they construct a framework where mathematics meets market behavior.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
2
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights. ═══════════════════════════════════════════════ WHAT MAKES THIS INDICATOR SPECIAL? ═══════════════════════════════════════════════ Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart: Exponential Gradient Technology This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength. Dynamic Momentum Intelligence Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states: - 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly) - 🔵 Blue = Weakening bullish (structure intact, but momentum fading) - 🟠 Orange = Caution zone (bearish structure forming, weak momentum) - 🔴 Deep Red = Strong bearish momentum (both MAs falling) The cloud literally tells you when trends are accelerating or losing steam. Conditional Performance Architecture Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system. Zero Repaint Guarantee All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment. Educational by Design Every single input includes comprehensive tooltips with: - Clear explanations of what each parameter does - Practical examples of when to use different settings - Recommended configurations for scalping, day trading, and swing trading - Real-world trading impact ("This affects entry timing" vs "This is visual only") You're not just getting an indicator—you're learning how to use it effectively . ═══════════════════════════════════════════════ THE GRADIENT CLOUD - TECHNICAL DETAILS ═══════════════════════════════════════════════ Architecture: 26 precision layers for silk-smooth transitions Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges 75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%) V-Gradient design - emphasizes the action zone between Fast and Medium MAs The Four Momentum States: 🟢 GREEN - Strong Bullish Fast MA above Medium MA Both MAs rising with momentum > 0.02% Action: Enter/hold LONG positions, strong uptrend confirmed 🔵 BLUE - Weak Bullish Fast MA above Medium MA Weak or flat momentum Action: Caution - bullish structure but losing strength, consider trailing stops 🟠 ORANGE - Weak Bearish Medium MA above Fast MA Weak or flat momentum Action: Warning - bearish structure developing, consider exits 🔴 RED - Strong Bearish Medium MA above Fast MA Both MAs falling with momentum < -0.02% Action: Enter/hold SHORT positions, strong downtrend confirmed Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation. ═══════════════════════════════════════════════ FLEXIBLE MOVING AVERAGE SYSTEM ═══════════════════════════════════════════════ Three Customizable MAs: Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance Six MA Types Available: EMA - Exponential; faster response, ideal for momentum and day trading SMA - Simple; smooth and stable, best for swing trading and trend following WMA - Weighted; middle ground between EMA and SMA VWMA - Volume-weighted; reflects market participation, useful for liquid markets RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters HMA - Hull; extremely responsive with minimal lag, aggressive option Recommended Settings by Trading Style: Scalping (1m-5m): Fast: EMA(5-8) Medium: EMA(10-15) Slow: Not needed or EMA(50) Day Trading (5m-1h): Fast: EMA(10-12) Medium: EMA(20-21) Slow: SMA(200) for bias Swing Trading (4h-1D): Fast: EMA(10-20) Medium: EMA(34-50) Slow: SMA(200) Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs. ═══════════════════════════════════════════════ CROSSOVER SIGNALS - CLEAN & RELIABLE ═══════════════════════════════════════════════ Golden Cross ⬆ LONG Signal Fast MA crosses above Medium MA Classic bullish reversal or trend continuation signal Most reliable when accompanied by GREEN cloud (strong momentum) Death Cross ⬇ SHORT Signal Fast MA crosses below Medium MA Classic bearish reversal or trend continuation signal Most reliable when accompanied by RED cloud (strong momentum) Signal Intelligence: Anti-spam filter - Minimum 5 bars between signals prevents noise Clean labels - Placed precisely at crossover points Alert-ready - Built-in ALERTS for automated trading systems No repainting - Signals based on confirmed bars only Signal Quality Assessment: High-Quality Entry: Golden Cross + GREEN cloud + Price above both MAs = Strong bullish setup ✓ Low-Quality Entry (skip or wait): Golden Cross + ORANGE cloud + Choppy price action = Weak bullish setup, likely whipsaw ✗ ═══════════════════════════════════════════════ REAL-TIME INFO PANEL ═══════════════════════════════════════════════ An at-a-glance dashboard showing: Trend Strength Indicator: Visual display of current momentum state Color-coded header matching cloud color Instant recognition of market bias MA Distance Table: Shows percentage distance of price from each enabled MA: Green rows : Price ABOVE MA (bullish) Red rows : Price BELOW MA (bearish) Gray rows : Price AT MA (rare, decision point) Distance Interpretation: +2% to +5%: Healthy uptrend +5% to +10%: Getting extended, caution +10%+: Overextended, expect pullback -2% to -5%: Testing support -5% to -10%: Oversold zone -10%+: Deep correction or downtrend Customization: 4 corner positions 5 font sizes (Tiny to Huge) Toggle visibility on/off ═══════════════════════════════════════════════ HOW TO USE - PRACTICAL TRADING GUIDE ═══════════════════════════════════════════════ STRATEGY 1: Trend Following Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT Hold position : While cloud maintains color Exit signals : • Cloud turns ORANGE/BLUE = momentum weakening, tighten stops • Opposite crossover = close position • Cloud turns opposite color = full reversal STRATEGY 2: Pullback Entries Confirm trend : GREEN cloud established (bullish bias) Wait for pullback : Price touches or crosses below Fast MA Enter when : Price rebounds back above Fast MA with cloud still GREEN Stop loss : Below Medium MA or recent swing low Target : Previous high or when cloud weakens STRATEGY 3: Momentum Confirmation Your setup triggers : (e.g., chart pattern, support/resistance) Check cloud color : • GREEN = proceed with LONG • RED = proceed with SHORT • BLUE/ORANGE = skip or reduce size Use gradient as confluence : Not as primary signal, but as momentum filter Risk Management Tips: Never enter against the cloud color (don't LONG in RED cloud) Reduce position size during BLUE/ORANGE (transition periods) Place stops beyond Medium MA for swing trades Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends ═══════════════════════════════════════════════ PERFORMANCE & OPTIMIZATION ═══════════════════════════════════════════════ Tested On: Crypto: BTC, ETH, major altcoins Stocks: SPY, AAPL, TSLA, QQQ Forex: EUR/USD, GBP/USD, USD/JPY Indices: S&P 500, NASDAQ, DJI ═══════════════════════════════════════════════ TRANSPARENCY & RELIABILITY ═══════════════════════════════════════════════ Educational Focus: Detailed tooltips on every input Clear documentation of methodology Practical examples in descriptions Teaches you why , not just what Open Logic: Momentum calculation: (Fast slope + Medium slope) / 2 Smoothing: 8-bar EMA to reduce noise Thresholds: ±0.02% for strong momentum classification Everything is transparent and explainable ═══════════════════════════════════════════════ COMPLETE FEATURE LIST ═══════════════════════════════════════════════ Visual Components: 26-layer exponential gradient cloud 3 customizable moving average lines Golden Cross / Death Cross labels Real-time info panel with trend strength MA distance table Calculation Features: 6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA) Momentum-based cloud coloring Smoothed trend strength scoring Conditional performance optimization Customization Options: All MA lengths adjustable All colors customizable (when gradient disabled) Panel position (4 corners) Font sizes (5 options) Toggle any feature on/off Signal Features: Anti-spam filter (configurable gap) Clean, non-overlapping labels Built-in alert conditions No repainting guarantee ═══════════════════════════════════════════════ IMPORTANT DISCLAIMERS ═══════════════════════════════════════════════ This indicator is for educational and informational purposes only Not financial advice - always do your own research Past performance does not guarantee future results Use proper risk management - never risk more than you can afford to lose Test on paper/demo accounts before using with real money Combine with other analysis methods - no single indicator is perfect Works best in trending markets; less effective in choppy/sideways conditions Signals may perform differently in different timeframes and market conditions The indicator uses historical data for MA calculations - allow sufficient lookback period ═══════════════════════════════════════════════ CREDITS & TECHNICAL INFO ═══════════════════════════════════════════════ Version: 2.0 Release: October 2025 Special Thanks: TradingView community for feedback and testing Pine Script documentation for technical reference ═══════════════════════════════════════════════ SUPPORT & UPDATES ═══════════════════════════════════════════════ Found a bug? Comment below with: Ticker symbol Timeframe Screenshot if possible Steps to reproduce Feature requests? I'm always looking to improve! Share your ideas in the comments. Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments. ═══════════════════════════════════════════════ Happy Trading! Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
אינדיקטור Pine Script®
מאת ‎orenluxy‎
2
Tradytics Levels with EMA CloudThis indicator has tradytics price chart levels where you can put in the input code seen below. The code has positive gamma (green lines), negative gamma (Red lines) and white dotted line are the darkpool levels. This is Amazon's 5 minute from Sep30th to October 20th Gammas and weekly Darkpool levels. Just copy and paste code below in the input code and the chart would show the levels. 212.8*1*neutral 220.07*1*neutral 216.038*1*neutral 215.57*1*neutral 219.988*1*neutral 217.401*1*neutral 217.351*1*neutral 212.815*1*neutral 212.75*1*neutral 212.4*1*neutral 215*0*negative 222.5*0*positive 217.5*0*positive 220*0*positive
אינדיקטור Pine Script®
מאת ‎Mstr_Robobot‎
Breakout Scanner [Europe] 🚀 Breakout Scanner - Situational Analysis Mastery Professional Breakout & Trend-Following Strategy Based on Tom Hougaard's Situational Analysis 🎯 WHAT IS THIS INDICATOR? A sophisticated multi-timeframe breakout scanner designed for European trading sessions, implementing the powerful "Situational Analysis" methodology from renowned trader Tom Hougaard. This professional tool identifies high-probability breakout opportunities with comprehensive filter systems to ensure quality signals. ⭐ KEY FEATURES 🏛️ SESSION-BASED TRADING - European Overnight Range - London Pre-Open & First Breakouts - Tokyo Box & London Launch Sessions - Smart Session Detection with Auto-DST 🎯 ENHANCED CONDITIONS - School Run Strategy (SRS) by Tom Hougaard - Anti-SRS Filter** for counter-trend opportunities - Session-specific logic for optimal entry timing 🛡️ ADVANCED FILTER SYSTEMS - Heiken Ashi Momentum Confirmation - EMA 200 Trend Filter - Ichimoku Baseline & Divergence - RSI Threshold Filter - ATR Volatility Filter - Multi-timeframe Compatibility ⚡ SMART ALERTS & VISUALS - Multi-timeframe Alert Confirmation - Breakout Size Detection (Beyond/Within Range) - Take Profit Levels with ATR Calculation - Customizable Visual Markers - Enhanced Alert Messages with Filter Status 📈 OPTIMIZED FOR - GERMAN DAX ⚡ - OIL & GOLD 🛢️ - NIKKEI 🇯🇵 - US30 & NASDAQ 🇺🇸 - All Major Indices & Commodities 🔧 CORE STRATEGY PHILOSOPHY This indicator embodies Tom Hougaard's Situational Analysis approach : - Identify the Situation : Market context through session analysis - Define the Action : Clear breakout levels and ranges - Execute with Precision : Filtered, high-quality signals - Manage the Trade : Built-in TP levels and size detection 🎨 CUSTOMIZATION OPTIONS Session Management - Toggle individual trading sessions - Smart session auto-disable with SRS/Anti-SRS - Customizable session times Filter Controls - Enable/disable all filter systems independently - Adjustable timeframe for each filter - Custom threshold settings Visual Preferences - Heiken Ashi overlay display - Breakout marker styles and colors - TP line customization - Debug information panel 📊 HOW TO USE 1. SETUP : Apply to your preferred instrument (DAX, Oil, Gold, etc.) 2. CONFIGURE : Enable your preferred sessions and filters 3. MONITOR : Watch for breakout markers during active sessions 4. EXECUTE : Enter on confirmed breakouts with filter alignment 5. MANAGE : Use built-in TP levels or your own risk management ⚠️ RISK DISCLAIMER This indicator is for educational and informational purposes only. Trading involves substantial risk and is not suitable for every investor. Always practice proper risk management and backtest strategies before live trading. Past performance is not indicative of future results. 🔒 TECHNICAL SPECIFICATIONS - Platform : TradingView Pine Script v6 - Compatibility : All timeframes - Markets : Forex, Indices, Commodities, Stocks - Updates : Regular improvements and bug fixes 📞 SUPPORT & UPDATES Regular updates based on user feedback and market changes. For suggestions or issues, please comment on the publication. ⭐ If this indicator helps your trading, please like and follow for more advanced tools! ⭐ Why Traders Love This Indicator: ✅ Comprehensive Filter System reduces false signals ✅ Session-Based Logic aligns with professional trading hours ✅ Multiple Timeframe Analysis for confirmation ✅ Customizable for Any Trading Style ✅ Professional-Grade Risk Management Tools Boost your breakout trading profitability with institutional-grade session analysis! 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
אינדיקטור Pine Script®
מאת ‎MahdiSalari8‎