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VSA Pro: Trend and Rejection VSA Pro: Trend and Rejection 🚀 A professional strategy specifically optimized for Borsa Istanbul (BIST) and major stocks. It eliminates emotional bias by combining the disciplined trend-following of SuperTrend with the volume confirmation of VSA (Volume Spread Analysis). 🛠 Key Features Clear Signals: 100% Long entry in Green zones, full exit to Cash at the start of Red zones. VSA Filtering: Analyzes not just price action, but "Smart Money" movements through volume-spread relationship. Visual Alerts: Identifies trend strength (➕) and potential exhaustion (⚠️) directly on the chart. 🚦 Trading Rules Green Zone: The primary trend is bullish. Enter at the "AL" (BUY) label. Red Zone: The primary trend is bearish. Exit at the "NAKİT" (CASH) label to preserve capital. Volume Confirmation: Filters out weak rallies by requiring above-average volume for trend continuation alerts. Pro Tip: Best performed on 2-Hour and Daily timeframes for BIST stocks and liquid assets. ⚠️ Disclaimer / Yasal Uyarı Bu strateji eğitim amaçlı paylaşılmıştır, yatırım tavsiyesi değildir. / This strategy is for educational purposes only and does not constitute financial advice.
Strategia Pine Script®
od algotrader06
4
Liquidity Sweep DetectorMost traders place their stops at obvious levels — and get hunted every single time. This indicator shows you exactly where those traps are set and when they get triggered. Liquidity Sweep Detector maps the zones where institutional players hunt stop losses, then flags the precise moment a sweep happens — so you can stop being the liquidity and start trading alongside the ones taking it. 🎯 Core Features Multi-Zone Liquidity Map — Tracks up to 16 simultaneous support and resistance zones. While other tools only show you the latest swing, this gives you the full picture of where liquidity is stacked above and below price. Knowing where the traps are is half the battle. Zone Strength Scoring — Every time a zone gets tested without breaking, it visually strengthens. A zone that's been tested 3+ times is a level institutions are actively defending — these are the highest-probability reaction points on your chart. Sweep Detection Engine — The moment price wicks through a zone and closes back inside, you get a clear signal. No lag, no guessing. That wick-and-snap-back pattern is the signature move of smart money grabbing liquidity before reversing — and now it's flagged automatically. Invalidated Zone Tracking — Broken zones auto-hide to keep your chart clean. But toggle them on and you'll see historical structure that most traders miss — levels that flip from support to resistance (and vice versa) are some of the most powerful setups in the market. Live Bias Detection — The dashboard tells you which side is getting hunted more. More bull sweeps = support getting raided = potential accumulation happening under the surface. More bear sweeps = distribution. This context changes how you read every candle. 🔬 Signal Quality Filters Not all sweeps are created equal. Three optional filters let you dial in only the highest-conviction signals: Trend Filter (EMA) — Removes counter-trend noise. Only see sweeps that align with the dominant trend — these are the ones where institutions are reloading, not just stopping out. Volume Spike — Requires above-average volume on the sweep bar. If smart money actually grabbed liquidity, the volume proves it. Wick Rejection — Filters for strong rejection candles. Big wick + small body = the market tried to break through and got violently rejected. All three are off by default. Start clean, then turn them on one by one and watch the noise disappear. 📊 Real-Time Dashboard Everything you need at a glance: Active zone count (resistance & support) Distance to nearest zones — turns red when you're within 1% of a level Total sweeps per direction Market bias (Bullish / Bearish / Neutral) Active filter status Ticker & timeframe ⚙️ How Smart Traders Use This Stop placement — See where liquidity clusters sit. Place your stops beyond the zone, not where everyone else gets hunted. Entry timing — Don't front-run levels. Wait for the sweep — that's your confirmation that stops have been cleared and the real move can begin. Zone strength = conviction — A zone tested 3x that finally gets swept is the highest-probability reversal setup this indicator produces. Bias as a filter — If the dashboard shows bearish bias, think twice before going long. The market is telling you something. Combine with your strategy — This isn't a standalone system. It's a context layer that makes every other setup you trade sharper. ⏱️ Best Timeframes Works on any ticker, any timeframe. Strongest on 4H, Daily, and 1D where institutional footprints are most visible. On lower timeframes, enable the quality filters to cut through the noise. 🔧 Key Settings Pivot Lookback (8) — Controls zone sensitivity. Lower = more zones, more signals. Higher = fewer but stronger levels. Max Active Zones (8) — Up to 16 total zones tracked simultaneously. Zone Range — "Wick Rejection" for tight zones, "Full Bar" for wider coverage. Show Invalidated Zones — Reveal broken levels as faded dashed zones for full structural context. 🔗 Why This Exists Every liquidity indicator out there stops at "here's a zone." That's not enough. You need to know when the zone gets swept, how strong it is, what the bias looks like, and whether the signal is worth taking. That's what this does. Built for traders who are tired of being the exit liquidity. This is the first release from DefinedEdge. Follow for the next drop! ⚡ DefinedEdge
Wskaźnik Pine Script®
od DefinedEdge
5
Manias, Panics and CrashesI got inspired to build the Manias Panics and Crashes indicator after reading the book "Manias, Panics and Crashes" by Charles Kindleberger's and Hyman Minsky's Financial Instability Hypothesis . This indicator identifies the three critical phases of market cycles, from manias, to panics, to crashes by analyzing multiple dimensions of market behavior including volatility, credit stress, market breadth, and momentum. As you will be able to see, a panic or crash is often anticipated by a mania. Here's how it works: I Use multi-dimensional risk analysis which includes: VIX Integration: Real-time fear gauge monitoring with spike detection Credit Spread Analysis: Tracks HYG/LQD spreads and flight-to-safety indicators (TLT/SPY) Market Breadth: Monitors participation levels to detect divergences Momentum Indicators: RSI, MACD, and rate-of-change analysis Volume Analysis: Identifies climax selling and forced liquidation events The indicator scores three distinct market phases (0-100 scale): 🟡 MANIA: Euphoric speculation, extended valuations, complacency (VIX <20, RSI >70) 🟠 PANIC: Sharp deterioration, fear acceleration, breadth collapse 🔴 CRASH: Capitulation events, extreme volatility (VIX >40), credit freeze This indicator implements the classic boom-bust cycle model: 1. Displacement → Credit Expansion → Mania/Euphoria Excessive leverage, speculation replacing investment Measured: Price >15% above 200-MA, RSI overbought >10 days, VIX <20 2. Critical Stage → Panic/Financial Distress Smart money exits, credit spreads widen Measured: Sharp declines, VIX spikes, breadth deterioration 3. Revulsion → Crash Forced liquidation, credit freeze, herd panic Measured: VIX >40, extreme volume, breadth <20%, credit stress >60 This framework has successfully identified major market crises for over 300 years of financial history, and you can backtest it yourself. Scoring Methodology Each phase receives a score (0-100) based on multiple factors: MANIA Score Components Price deviation from 200-day MA (>15% = elevated) RSI overbought duration (>70 for 10+ days) Market breadth (>60% stocks rising) Low volatility complacency (VIX <20) Accelerating momentum (ROC increasing) PANIC Score Components: Moderate declines (-5% to -15% from peak) VIX spike (>30% increase in 5 days) High volume on down days (>150% average) Breadth deterioration (<40% participation) Credit stress emergence (spreads widening >2%) Momentum reversal (MACD bearish cross) CRASH Score Components: Extreme declines (>15% from peak) VIX extreme (>40) Volume climax (>200% average) Breadth collapse (<20% participation) High correlation (forced selling across sectors) Credit freeze (spreads >10% wider) The indicator automatically pulls from multiple data feeds: TVC:VIX - CBOE Volatility Index AMEX:HYG / AMEX:LQD - Credit spread proxy (High Yield vs Investment Grade) NASDAQ:TLT / AMEX:SPY - Flight-to-safety indicator (Treasuries vs Equities) AMEX:XLF - Financial sector health INDEX:ADDN - NYSE Advance/Decline for breadth For Traders: Use the indicator to adjust risk based on market phase. During NORMAL conditions, trade normally. In MANIA, reduce positions and take profits. During PANIC, raise cash and avoid catching knives. In CRASH, prepare your shopping list and wait for capitulation signs before deploying capital. For Investors: Maintain target allocation during NORMAL markets. When MANIA is detected, rebalance to defensive sectors and build cash reserves. During PANIC/CRASH phases, deploy cash into quality names at extreme fear levels, as these periods create the best long-term buying opportunities. Historical Performance The indicator successfully identified: COVID-19 Crash (March 2020): MANIA signals in Feb 2020, PANIC phase Mar 12-23: 2022 Bear Market: Multiple MANIA warnings in 2021: January 2018 Selloff: MANIA warnings a few days earlier: 2008 Financial Crisis: Multiple MANIA alerts before the crash: Note : Past performance does not guarantee future results. This indicator provides context and warning signals but cannot predict exact timing of market events. This indicator might have some limitations: False Positives: Mania phases can persist for months/years before corrections (see phase from 1996 until the doc com crash) Lag: Some indicators are reactive rather than predictive Data Availability: It works pretty much only for the US markets Timeframe Sensitivity: Best on daily/weekly charts; intraday may be noisy and I didn't try it Acknowledgments As always, I'm standing on the shoulders of giants. the indicator was inspired by: Charles Kindleberger's "Manias, Panics and Crashes" Hyman Minsky's Financial Instability Hypothesis Behavioral finance research by Robert Shiller Let me know if you have any comments or suggestions! - Henrique Centieiro
Wskaźnik Pine Script®
od HenriqueCentieiro
2
Aura V14 Aura V14 is a minimalist, high-precision trend engine specifically engineered and optimized for the 15-minute (15m) timeframe. It operates on a "Triple Consensus" logic, harmonizing three of the most powerful algorithmic filters into a single, clutter-free interface: Lorentzian Machine Learning Score: Analyzes multi-factor momentum (RSI, MFI, ADX) to ensure statistical edge. Alpha Trend Engine: Tracks institutional money flow and volatility-adjusted trend direction. Magic Trend (CCI-Based): Confirms price breakouts and sustained momentum. Designed for the minimalist trader, Aura removes all visual noise by eliminating lines and oscillators. It features a unique soft background "glow" that instantly identifies the market's aura: a soothing green for bullish strength and a muted red for bearish dominance. Key Features: 15m Optimization: Fine-tuned for medium-frequency trading, filtering out low-timeframe noise while capturing significant moves. Zero-Line Interface: Keep your charts clean and focus on price action. Triple-Filter Validation: Signals only appear when all underlying algorithms reach a perfect consensus.
Wskaźnik Pine Script®
od Astra_Quant_Flow
Volatility Contraction ScoreVolatility Contraction Score (VCS) Overview Volatility Contraction Score (VCS) is a technical indicator inspired by Mark Minervini’s Volatility Contraction Pattern (VCP) concept. It is designed to quantify volatility compression and supply-demand equilibrium on a scale from 0 to 100. This indicator does not detect VCP patterns directly. Instead, it measures the structural characteristics commonly observed in VCP bases, such as price range contraction and volume dry-up, and converts them into a numerical score. A high score indicates that price volatility is compressed and energy is being stored within the structure. While this condition often precedes significant price expansion, it does not predict direction. Score Components VCS is calculated as a weighted composite of multiple factors: 1. Price Compression (ATR & Standard Deviation) Short-term ATR and standard deviation are compared to their longer-term averages to measure how tightly price is trading. 2. Volume Contraction Recent volume is compared to its historical average to detect signs of supply exhaustion. 3. Efficiency Filter Strong directional trend phases are penalized. The purpose is to favor genuine compression phases rather than momentum expansion. 4. Higher Low Structure Check The indicator verifies whether recent lows are holding above prior structural lows. If the structure deteriorates, the score is reduced rather than fully invalidated. 5. Consistency Bonus The longer compression persists, the more additional points are awarded. This prioritizes bases that have formed over time instead of short-lived contractions. Interpreting the Score 80 and above (Green) Critical Tightness Extremely compressed volatility. Energy accumulation is at elevated levels. 60 to 80 (Blue) Setup Stage Compression is developing. Suitable for watchlist candidates. Below 60 (Gray) Loose / Expansion Phase Price remains volatile and lacks compression characteristics. Important Note VCS measures compression intensity. It does not determine whether price will move up or down. Usage & Interpretation VCS visualizes the degree of energy compression. The score itself does not indicate trade direction. When the score rises above 80 and the histogram turns green, monitor price closely and observe which boundary of the consolidation range is broken. 1. Bullish Setup (Long Consideration) Condition The score remains above 80 while price forms a tight consolidation or small flag pattern. Trigger A decisive breakout above the upper boundary (resistance) of the range, ideally accompanied by expanding volume. Interpretation Stored energy is being released to the upside. This suggests a potential continuation move aligned with the prior trend. 2. Avoidance / Short Setup (Downside Risk) Condition The score remains elevated while price begins to form lower lows or fails to hold key support levels. Trigger A breakdown below a major support level. Interpretation Supply-demand equilibrium has failed, and stored energy is being released to the downside. This may represent a failed base or failed VCP-type structure and warrants caution. Pine Screener Integration This indicator outputs additional data fields for TradingView’s Pine screener. VCS Total compression score (0 to 100) Example: Filter for values above 60 to identify tight candidates. Relative Strength Percentile rank of performance relative to a selected benchmark. Example: Above 60 to focus on stocks outperforming the market. ADR % Average daily range percentage over the selected period. Useful for risk filtering. Avg Vol Average trading volume. Used as a liquidity filter. Market Cap Market capitalization, using reported data or estimated calculation. Settings VCP Logic Settings Adjust short and long compression measurement periods. Trend Filter Control the strength of the directional trend penalty. Structure Settings Adjust penalty strength when higher low structure fails. Consistency Weight Set the maximum bonus for sustained compression. Screener Data Customize periods used for screener output metrics. Design Philosophy This indicator is built to: • Quantify volatility compression • Objectify the concept of tight price action • Improve efficiency in identifying breakout candidates VCS is not an entry signal. It should be used in conjunction with structure analysis, trend context, and volume confirmation.
Wskaźnik Pine Script®
od oratnek
6
Linear Regression Channel (Std Error) & TrendThis indicator plots a Linear Regression Channel that dynamically adapts to price action using a rolling lookback period. It is designed to assist traders in identifying the dominant trend direction and statistical volatility extremes. Methodology & Calculations Center Line (Basis): Calculated using the ta.linreg function. It represents the "best-fit" straight line through the price data over the specified length, serving as a mean-reversion anchor. Outer Bands: Constructed using Standard Deviation (ta.stdev) multiples added to and subtracted from the center line. These bands expand and contract based on market volatility. Trend Logic: The color of the channel is determined by the slope of the Linear Regression line. A positive slope turns the channel Green (Uptrend), while a negative slope turns it Red (Downtrend). Key Features Trend Visualization: The background color provides an instant visual cue of the market regime. Visual Signals (UP/DN): Small triangular labels appear when the slope polarity flips (e.g., from negative to positive), marking a potential trend change. Dynamic Support/Resistance: The Upper and Lower bands act as dynamic levels where price is statistically overextended, often leading to mean reversion or consolidation. Alerts Included Trend Change (UP): Triggered when the LinReg slope turns positive. Trend Change (DOWN): Triggered when the LinReg slope turns negative. Price > Lower Band: Potential mean reversion (bounce) signal. Price < Upper Band: Potential mean reversion (pullback) signal. Settings Length: Adjusts the lookback period for the regression calculation (Default: 100). Multiplier: Adjusts the width of the bands based on Standard Deviation (Default: 2.0). Disclaimer: This tool is for educational purposes and technical analysis only. Past performance does not guarantee future results. Always manage your risk.
Wskaźnik Pine Script®
od GodeyeThelasthope
1
Magic Sword: Precision Trend + Volume Filter Fixed The SWORT Precision Volume Trend Filtered is a sophisticated technical analysis tool designed to identify high-probability market entries by merging three critical data pillars: Price Momentum, Volume Flow, and Trend Consistency. Key Features: Precision Filtering: Utilizing advanced smoothing algorithms, the indicator filters out "market noise" and minor price fluctuations, ensuring you stay focused on the primary trend. Volume Integration: Unlike standard trend followers, it validates price movements through volume analysis, confirming that a trend has the institutional "weight" to continue. Adaptive Sensitivity: It dynamically adjusts to market volatility, providing responsive signals during breakouts while maintaining stability during consolidation phases. Visual Clarity: Designed for immediate interpretation, it offers clear visual cues (color-coded trends or signals) to help traders minimize emotional bias and execute with discipline.
Wskaźnik Pine Script®
od Astra_Quant_Flow
Candle Patterns Ver.3I am always studying strategies and one way to incorporate different strategies aiming to improve the chances to be on the right side of a trade. This indicator has other indicators that together makes easy to spot a possible good trade. It has: - Bollinger Bands that give us the market volatility and can identify overbought or oversold levels; - Stochastic: that give us market momentum and also overbought and oversold levels; - Candle patterns: I just added the Pin bars(or Hammer at support) and Engulfing patterns. I noticed those 2 are the most reliable if spotted at the right place. - Daily Trend direction: based on an EMA(200), one of the most reliable and used Moving averages. - Round Numbers: This is always a good help before we place our trade to identify possible rejection levels or Support / Resistance levels. So the idea here is, during the analysis, identify when a new candle open what was and where was the previous candle. I in general trade Daily charts and during tests I notice that when the previous bar closed at the lower BB, it was an Engulfing bar and the Stochastic %K was crossing %D below the 20 level I would say there is a 65 to 75% chance of the price move up, at least to test the middle BB. It is some kind of situation that does not happen very often but when happens is almost sure "money in the bank". So I added the Daily Trend as away to confirm the market direction or if it is just a pullback. So to make my analysis easy and fast I added symbols telling me the story of the previous day like EG arrow for an engulfing bar, a big light blue arrow when the engulfing is close to the lower BB, an green(Stoch cross above below 20 level) and a red arrow(Stoch cross below at 80 level) with a TRUE text. Of course it is not perfect but it helps me on my analysis. Also the Engulfing pattern can have different interpretations so keep that in mind. An I am working on make the arrows not appears on top of the others so be kind... :) Please feel free to comment or criticize( in a good way). You all have a great trading.
Wskaźnik Pine Script®
od cyberFX2019
Daily ATR Info Box With % BuffersDaily ATR Info Box is a compact volatility dashboard designed for traders who rely on ATR-based buffer logic, stop placement, and volatility filtering. The indicator displays key ATR information in a clean table fixed to a chart corner, avoiding chart clutter while providing essential trade-prep data at a glance. Key Features: Daily ATR (14-period) automatically sourced from the Daily timeframe, regardless of your current chart timeframe. ATR expressed in pips, giving an accurate volatility measure for FX, indices, commodities, and crypto. Auto Pip-Size Detection that adapts to the chart symbol: FX pairs → 0.0001 JPY FX pairs → 0.01 Indices → 1 Gold → 0.1 Oil → 0.01 Crypto → 1 Other symbols → mintick The user can override the value manually at any time. Displays ATR, 10% ATR, and 5% ATR values for quick buffer and stop-loss calculations. Optional Current Daily Range vs ATR classification, showing whether the market is: Very Small Small Normal Large Very Large Fully customizable text colour for readability on dark or light chart themes. Panel can be positioned in any chart corner (top/bottom left/right). How to Use: This ATR dashboard is ideal for: Setting buffer entries for breakouts, straddles, or volatility expansions Placing ATR-scaled stop-losses Evaluating whether the market is in compressed or expanded volatility Combining with session strategies (IB ranges, London/NY, overnight ranges) Determining if current conditions favour trend, breakout, or mean-reversion setups
Wskaźnik Pine Script®
od ElGore18
1
Wave Velocity Directional PRO 📊 Wave Velocity Directional PRO Wave Velocity Directional PRO is a manual structural analysis tool designed to compare the strength and sharpness of two selected price waves. The indicator allows you to manually select: Wave 1 (start → end) Wave 2 (start → end) It then automatically calculates: Directional Range Velocity (price movement per bar) Velocity Ratio (Wave 1 / Wave 2) Structural Status evaluation 🔍 Directional Range Logic The range is calculated directionally to capture the full movement dimension of the wave: For bullish waves: Range = High_end − Low_start For bearish waves: Range = High_start − Low_end This ensures the full wave amplitude is measured from its true origin to its completion. ⚡ Velocity Velocity = Range / Number of Bars Velocity measures how aggressively price moved per bar. Higher velocity = sharper, more impulsive movement. 📈 Velocity Ratio Ratio = Velocity_Wave1 / Velocity_Wave2 This helps evaluate structural quality: > 1.5 → Strong impulse 1.2–1.5 → Healthy structure 1–1.2 → Weak < 1 → Structural warning 🎯 Use Cases Elliott Wave validation Impulse vs correction comparison Structural asymmetry analysis 1–2 continuation filtering Manual wave strength benchmarking ⚠️ Notes This is a manual analysis tool. Designed for structural comparison. Does not generate trading signals. Works independently of chart scaling or zoom.
Wskaźnik Pine Script®
od daniv_roman
Stock Expansion Pullback SignalStock Expansion Pullback Signal This indicator highlights pullback opportunities that occur after strong expansion candles confirmed by volatility and momentum. Concept: 1. Expansion Detection: Candle range exceeds ATR × multiplier Strong body structure (momentum candle) RSI confirms directional momentum 2. Pullback Phase: Price retraces into: EMA fast/slow zone OR a defined VWAP proximity band 3. Signal: A signal prints when pullback conditions occur within a configurable number of bars after the expansion. Features: • ATR-based expansion filter • RSI momentum confirmation • EMA structure context • VWAP proximity detection • Adjustable expansion validity window • Alert-ready conditions Notes: Designed for intraday and swing environments. Works across stocks, indices, crypto, and forex. Signals are informational and do not guarantee outcomes. Always forward test before live application.
Wskaźnik Pine Script®
od uzair2join
Z-Score (Normal Distribution ) with AlertsStatistical Edge: Z-Score (Normal Distribution) Indicator Concept & Logic The Z-Score Indicator is a statistical tool used to measure how many standard deviations a price is from its mean (Simple Moving Average). By applying the principles of Normal Distribution (The Gaussian Curve) to market data, this indicator identifies whether a price move is "normal" or "extreme" relative to its recent history. In a theoretical Normal Distribution: 68.2% of data points fall within ±1 Standard Deviation (SD). 95.4% of data points fall within ±2 SD. 99.7% of data points fall within ±3 SD. When the Z-Score crosses these thresholds, it indicates that the current price action is statistically rare, often signaling potential exhaustion or a high-momentum breakout. Key Features Z-Score Line (Blue): Tracks the real-time deviation of price from the mean. ±2.0 Threshold (Dashed Lines): Represents the 95% confidence interval. Prices reaching this zone are considered "Overextended" and often see a return to the mean (Mean Reversion). ±3.0 Threshold (Solid Lines): Represents the 99.7% extreme zone. Movements here are rare and suggest either an imminent sharp reversal or the start of a "Black Swan" parabolic trend. Statistical Zones: Color-coded fills (Red for high extreme, Green for low extreme) for quick visual scanning. How to Trade with Z-Score Mean Reversion: Look for the Z-Score to penetrate the +2 or +3 levels and then cross back toward the zero line (Mean). This often signals that the "stretch" is over and price is returning to balance. Trend Strength: A Z-Score that stays consistently above +2 (or below −2) without returning to zero indicates a very strong momentum trend. Do not fight the trend in these "fat tail" events. Divergence: Watch for price making a higher high while the Z-Score makes a lower high at the +2 level; this suggests the momentum is weakening despite the price increase. Technical Settings Period (Length): The lookback period for calculating the Mean and Standard Deviation (Default: 20). Source: Usually set to Close, but can be adjusted for different strategies. Disclaimer Financial markets do not always follow a perfect Normal Distribution (they often exhibit "Leptokurtosis" or fat tails). Statistical indicators should be used as a confluence tool alongside Price Action, Volume, and other technical analysis methods. Past performance does not guarantee future results.
Wskaźnik Pine Script®
od GodeyeThelasthope
Volume Sentiment DriftVolume Sentiment Drift (VSD) Quantitative Market Regime Identification Overview Volume Sentiment Drift (VSD) is a market-context indicator that measures the “ease of movement” in price by combining volume participation with price efficiency. It classifies the current environment into persistent regimes to help traders assess whether conditions are strengthening, weakening, or balanced. This tool provides context only and does not generate buy or sell signals. ________________________________________ Quantitative Framework The model evaluates three components: Participation (Relative Volume) Volume is normalized by its historical baseline to measure activity relative to the instrument’s own liquidity profile. Price Efficiency True Range is normalized by ATR to evaluate how efficiently price is progressing relative to volatility. Persistence Engine Standard deviation scaling and a hysteresis band are used to stabilize regime transitions and reduce flickering. These components combine into a normalized Sentiment Drift value used to determine the current regime. ________________________________________ Market Regimes (Context Only) • ACCELERATING — improving efficiency relative to participation • DECAYING — diminishing efficiency / potential absorption • BALANCED — equilibrium within the neutral zone These labels describe market conditions only and are not trading signals or recommendations. ________________________________________ Key Features • Volatility-adjusted normalization for cross-asset consistency • Real-time dashboard summarizing current regime • Dead-zone filtering to reduce noise • Designed strictly as a context/filter tool ________________________________________ How to Use • Observe the regime to understand overall conditions • Use the drift line to monitor participation strength • Combine with your existing analysis or strategies ________________________________________ Notes • Confirmed-bar calculations only (no intentional lookahead) • Works across most timeframes • No alerts, entries, or exits • Informational use only ________________________________________ Disclaimer Educational and informational purposes only. This indicator does not provide financial advice. Trading involves risk. ________________________________________
Wskaźnik Pine Script®
od ibotrade
Dump Reversal Peak Trail v2A non‑repainting reversal strategy that buys capitulation dips and rides the rebound with a peak‑retrace trailing exit. It detects single‑bar dump anomalies that break the N‑day low (based on prior daily bars), then “arms” and waits for the first green close that also passes flatness and minimum‑rebound filters—avoiding knife‑catching. Once in a trade, it tracks the highest close since entry; after a minimum profit, it exits on a configurable retrace from that peak. A cooldown prevents immediate re‑entries. DRPT suits liquid majors/top alts on 5–15m charts. Tune anomaly threshold, flatness, rebound, and trailing parameters per symbol and venue. Developed by (me) geektrade.online
Strategia Pine Script®
od grinaypps
DEMATR StrategyThe DEMATR Guard is a sophisticated trend-following strategy built to capture momentum while shielding you from high-volatility traps. It leverages the speed of Double EMAs, the structural context of the Ichimoku Cloud, and an adaptive volatility engine. Core Logic The Engine: Dual DEMA cross (8/21) for rapid signal detection with less lag than traditional moving averages. The Trend Shield: Ichimoku Cloud filter ensuring entries only occur in bullish territory (above Span A and B). Volatility Guard: Automatic ATR-based filtering that rejects signals when the market is overextended or hyper-volatile. The Safety Floor: A 50 EMA baseline used as a structural exit to preserve capital during trend reversals. What the DEMATR Guard Handles Automatically The script takes care of the mechanical heavy lifting: DEMA crossovers, Ichimoku Cloud positioning, EMA 50 floor exits, and the rejection of excessive volatility (ATR Filter). Your Essential Checklist (Human Discretion) While the script handles the math, your value as a trader comes from analyzing what a backtest cannot see. When you see a BUY triangle, check these points: Volume: Is there a noticeable volume spike on the signal candle? VRVP: Is there a heavy "volume wall" (resistance) right above you? If the path is clear, it's a higher-quality trade. Space to Run: Ensure there is at least 2-3% of room before the next major horizontal resistance. Future Cloud: Look to the right—is the Ichimoku cloud green for the future period? ADX: Is the trend strength above 15? Avoid taking signals in dead or sideways markets. Interpreting "ATR!" Markers The orange "ATR!" cross signals a rejected entry. This means the trend was valid, but the price move was too violent or overextended. These markers are designed to protect you from "buying the peak" of an exhausted rally.
Strategia Pine Script®
od jrrmcalcio
Volatility Regime Clustering# Volatility Regime Clustering (VRC) - Intelligent Volatility Classification ## The Problem Most traders use the same position size regardless of market conditions. This leads to excessive risk during high volatility periods and missed profits during calm periods. Standard volatility indicators (ATR, Bollinger Bands) show current values but don't automatically classify market regimes. ## The Solution **Volatility Regime Clustering** uses a machine learning algorithm (k-means clustering) to automatically identify volatility regimes based on historical data. The indicator independently finds boundaries between calm, normal, and nervous markets for each trading instrument. ## How It Works ### Technical Implementation 1. **Volatility Normalization**: ATR is converted to basis points for comparability across instruments with different prices. 2. **K-means Clustering**: - The indicator analyzes the last N bars (default 200) - Automatically groups historical ATR values into 2-4 clusters - Cluster centroids are evenly distributed from minimum to maximum volatility - The algorithm iteratively refines cluster boundaries every 5 bars 3. **False Signal Protection**: - Threshold-based smoothing: regime changes only after 3+ consecutive confirmations - Empty cluster protection with automatic reinitialization - Warmup period to accumulate sufficient history 4. **Guaranteed Order**: - Regime 0 always = low volatility - Regime 1 always = medium volatility - Regime 2 always = high volatility - Regime 3 always = extreme volatility ## Visualization - 🟢 **Green Background**: Low volatility - calm market, full position size recommended - 🟡 **Yellow Background**: Medium volatility - standard conditions, 75-80% of normal risk recommended - 🟠 **Orange Background**: High volatility - nervous market, reduce risk to 40-50% - 🔴 **Red Background**: Extreme volatility - panic/news, minimum risk 25% or stay out **Info Panel** (top right corner) displays: - Current volatility regime - ATR in basis points - Current cluster center (regime mean value) - Deviation from cluster center (how close to regime transition) - Regime stability (% of time in current state) - Recommended risk multiplier - Recommended position size in % ## How to Use ### Basic Approach (Risk Management) 1. Add the indicator to any asset chart 2. Wait for warmup period completion (requires minimum 200 bars of history) 3. Monitor background color and recommendations table 4. Adjust position size according to risk multiplier **Example**: - You normally risk 2% of capital per trade - Indicator shows "Risk Multiplier: 0.50x" (orange/red regime) - Reduce risk to 1% (2% × 0.5 = 1%) ### Advanced Usage **Entry Filtering**: - Enter positions only in green/yellow regimes - Avoid new positions during red background **Open Position Management**: - When transitioning to high volatility, move stop-losses further - In calm regimes, use more aggressive take-profits **Options Strategies**: - High volatility → sell options (elevated premium) - Low volatility → buy options before potential expansion ## Settings ### Main Parameters - **ATR Length** (14): ATR calculation period. Lower = faster reaction, higher = smoother - **Clustering Lookback** (200): number of bars for algorithm training. Recommended 150-300 - **Number of Regimes** (3): number of volatility regimes (2-4) - 2 regimes: simple "calm/nervous" - 3 regimes: "low/medium/high" (recommended) - 4 regimes: adds "extreme" regime for rare events - **Regime Smoothing** (3): number of confirmation bars for regime change. Higher = fewer false switches ### Visual Settings - **Show Background Color**: enable/disable colored background - **Show Regime Labels**: display labels on chart when regime changes - **Show Risk Adjustment Info**: show/hide info panel - **Info Panel Size**: panel font size (Tiny/Small/Normal/Large) - **Colors**: customize colors for each regime ## What Makes It Different Unlike existing volatility indicators: 1. **Automatic Adaptation**: no manual threshold configuration needed for each asset 2. **Machine Learning**: uses k-means clustering instead of fixed percentiles 3. **Self-Learning**: regime boundaries recalculated based on rolling window history 4. **Specific Recommendations**: not just volatility level display, but precise numerical multiplier for position sizing 5. **Noise Protection**: threshold-based smoothing prevents chaotic regime switching 6. **Universality**: ATR normalization allows application across any instruments (forex, stocks, crypto) ## Limitations - Requires minimum 200 bars of history for correct operation - On very low timeframes (M1-M5) may be overly sensitive - Indicator reacts with slight delay due to smoothing (this protects against false signals) ## Recommendations - **Intraday Trading**: use on H1-H4 with default parameters - **Swing Trading**: increase Clustering Lookback to 300-500 bars - **Scalping**: reduce Regime Smoothing to 1-2 and ATR Length to 7-10 - **Combination with Other Indicators**: use VRC as a risk filter on top of your main strategy ## Alerts The indicator supports three alert types: - **Regime Change**: any volatility regime change - **Extreme Volatility**: entry into extreme volatility regime - **Low Volatility**: entry into low volatility regime --- **Important**: This indicator is a risk management tool, not a trading system. Use it in combination with a proven entry and exit strategy.
Wskaźnik Pine Script®
od Smart-Day-Trader
Pro RSI + Stoch + ATR Dashboard (MASTER) by AliMulti-Timeframe Momentum + Volatility Alignment System Trend Filtered MASTER Signals Designed for Structured, Discipline-Based Trading Pro RSI + Stoch + ATR Dashboard (MASTER) by Ali Full Mathematical Logic & Professional Usage Guide This indicator is a multi-timeframe momentum and volatility dashboard designed to combine: RSI (Trend & Strength) Stochastic (Timing & Trigger) ATR & ATR% (Volatility & Risk Control) Alignment Scoring (Market Structure Confirmation) MASTER Signal Logic (Filtered Trade Execution) The goal is simple: Reduce overtrading. Eliminate counter-trend entries. Trade only when momentum alignment confirms structure. 1️⃣ Core Indicators & Mathematical Foundation 🔹 RSI (Relative Strength Index) RSI measures the ratio between average gains and average losses over a defined period. Formula: RSI = 100 − RS = Average Gain / Average Loss Default Length: 14 Key Level: RSI ≥ 50 → bullish momentum bias RSI < 50 → bearish momentum bias In this system, RSI 50 is used as: Trend filter Alignment scoring basis 🔹 Stochastic (K & D) Stochastic measures where price closes relative to its recent range. K line = smoothed momentum line D line = signal line (smoothed K) Default: Length = 14 K smoothing = 3 D smoothing = 3 Trigger logic: K crossing above D → bullish short-term trigger K crossing below D → bearish short-term trigger ⚠ Stochastic alone does NOT generate signals. It only acts as a timing mechanism inside MASTER logic. 🔹 ATR (Average True Range) ATR measures market volatility. True Range (TR) = max(High−Low, |High−PrevClose|, |Low−PrevClose|) ATR = Moving average of TR over N periods Default Length: 14 ATR% = (ATR / Close) × 100 Why ATR% matters: Higher ATR% → wider stops required Lower ATR% → tighter structure, breakout potential 2️⃣ Multi-Timeframe Structure (MTF Logic) The dashboard evaluates 4 timeframes simultaneously: 15m → Entry & Timing 1H → Short-term bias 4H → Structural trend 1D → Market regime Each timeframe displays: RSI Stoch K/D ATR Status This allows structured decision making instead of single-timeframe guessing. 3️⃣ MASTER Logic (Trend + Alignment + Trigger) A MASTER signal is generated ONLY when all three layers align: 🔹 1) Trend Filter (RSI 50 on selected TF) User selects Trend TF (1H / 4H / 1D) If RSI ≥ 50 → LONG ONLY If RSI < 50 → SHORT ONLY This prevents counter-trend trading. tr.tradingview.com 🔹 2) Alignment Score (MTF Confirmation) Alignment counts how many timeframes have RSI ≥ 50. bullCount = sum of bullish RSI conditions (0–4) Score% = (bullCount / 4) × 100 Example: 4/4 (100%) → Full bullish alignment 2/4 (50%) → Mixed / chop conditions 0/4 (0%) → Full bearish regime This prevents trading in unstable market environments. tr.tradingview.com 🔹 3) Trigger (15m Stoch Cross) Entry confirmation uses: 15m K crossing above D → bullish trigger 15m K crossing below D → bearish trigger 4️⃣ MASTER BUY / SELL Conditions MASTER BUY: Trend = LONG ONLY bullCount ≥ Min Bull TF setting 15m Stoch bullish cross MASTER SELL: Trend = SHORT ONLY bullCount ≤ Max Bull TF setting 15m Stoch bearish cross This ensures: Trend + Structure + Timing = One controlled signal. 5️⃣ Reading the Dashboard Table Columns: TIME → timeframe RSI → momentum strength K / D → stochastic timing ATR → volatility STATUS → simplified momentum state STATUS is informational only. It does NOT replace MASTER logic. 6️⃣ Center Info Label Explained Displays: TREND → Active direction filter ALIGN → MTF momentum strength ATR% → Volatility intensity across TFs Professional usage: ALIGN ≥ 75% → Strong trend continuation ALIGN ≤ 50% → Chop / mean reversion zone High ATR% → Adjust risk and position size Low ATR% → Breakout probability increases 7️⃣ Recommended Settings by Trader Type 🔹 General / Balanced: Trend TF: 4H Min Bull BUY: 3 Max Bull SELL: 1 🔹 Intraday: Trend TF: 1H or 4H Min Bull BUY: 2–3 Max Bull SELL: 1–2 🔹 Scalper: Trend TF: 1H Min Bull BUY: 2 Max Bull SELL: 2 🔹 Swing: Trend TF: 1D Min Bull BUY: 3 Max Bull SELL: 1 8️⃣ Professional Trade Workflow Check TREND first Confirm ALIGN strength Wait for 15m trigger Enter with structure-based stop Adjust position size using ATR% This indicator is a structured decision framework, not a random signal generator. Built for traders who value structure over impulse. ⚠ Risk Disclaimer This tool enhances structure and discipline. It does not predict markets. Best performance occurs in aligned trending environments.
Wskaźnik Pine Script®
od dokuyucuali006
Arbitrage Monitoring [ZurvanEG]⯁ Advanced Multi-Market Arbitrage & Liquidity Scanner ◇ Overview This professional-grade analysis suite is designed to detect, validate, and visualize cross-exchange price inefficiencies in real-time. Unlike standard gap scanners, this engine employs a Statistical Validation Layer to filter out market noise, ensuring that only high-quality, actionable Arbitrage opportunities are presented. Whether analyzing Crypto Assets across centralized exchanges or Forex & Commodities across top-tier brokers, this tool transforms fragmented liquidity data into a unified, actionable dashboard. ◈ Dual-Engine Architecture The system adapts its scanning logic based on the asset class: ⬥ Crypto Mode: Scans a network of major CEXs (Binance, OKX, Kraken, etc.) with specific algorithms for USDT-paired volatility and volume weighting. ⬥ Forex Mode: Connects to premium liquidity providers (OANDA, Saxo, IC Markets) to monitor fiat pairs and Gold (XAUUSD), calibrated for tight spreads and high-frequency precision. ◈ Operational Modes & Scanning Logic This system offers two distinct engine modes, allowing traders to switch between Deep Granular Analysis and Broad Market Surveillance: ⬥ Deep Dive (Chart Asset Focus) ⬦ Precision Analysis: This mode directs the full processing power of the script to the single asset currently displayed on your chart. ⬦ Dynamic Ticker Recognition: It automatically extracts the base asset (e.g., “BTC” from “BTCUSDT”) and instantly queries the entire network of supported exchanges (20+ sources) to find the absolute best Buy/Sell prices available globally. ⬥ Multi-Asset Scanner (Watchtower Mode) ⬦ Market-Wide Surveillance: Acts as a background radar system. Instead of focusing on one chart, it continuously monitors a user-defined “Asset Universe” (up to 5 custom instruments) simultaneously. ⬦ Resource Balancing: The engine intelligently allocates resources to track the spread quality for your entire watchlist in real-time, regardless of which symbol is currently on your chart. ◈ Smart Validation & Risk Engine Unlike simple price-gap tools, this indicator employs a multi-layered Statistical Verification Engine to filter out noise and ensure actionable opportunities. ⬥ Z-Score Contextualization: Instead of relying on fixed percentage thresholds, the engine calculates the Standard Deviation (Z-Score) of the current spread relative to its recent history. This distinguishes statistically significant anomalies from normal market volatility. ⬥ Stagnancy Protection (Anti-Freeze): Automatically detects and quarantines exchanges with “frozen” data feeds. If a price remains unchanged for a user-defined number of bars, the source is flagged as stale to prevent false signals caused by API disconnects or illiquid order books. ⬥ Liquidity & Volume Filters: Ensures that price gaps are backed by real market depth. The engine filters out “ghost” arbitrage opportunities on exchanges with insufficient volume, protecting traders from getting trapped in illiquid positions. ⬥ Stability Counters: Requires an opportunity to persist for a minimum number of consecutive bars (Stability Bars) before validation. This rules out HFT (High-Frequency Trading) flickers and latency-based ghosts that are impossible to execute manually. ◈ Visualization Suite & Intelligent Dashboard This indicator bridges the gap between raw data processing and visual decision-making, offering two synchronized layers of market insight: ⬥ The Arbitrage Cloud (Chart Overlay) ⬦ Spatial Spread Representation: Unlike traditional line indicators, this feature renders the arbitrage opportunity as a dynamic, semi-transparent cloud directly on your price chart. It visualizes the physical gap between the Global Best Buy Price (Lowest Ask) and the Global Best Sell Price (Highest Bid). ⬦ Contextual Volatility Analysis: By overlaying this cloud on the asset’s candles, traders can instantly assess the magnitude of the spread relative to current price action. You can visually correlate spread widenings with specific market events, support/resistance breakouts, or liquidity crunches without needing to look at a separate oscillator. ⬦ History Tracking Instead of a fleeting snapshot, the Arbitrage Cloud renders the complete historical trajectory of price inefficiencies directly on your chart. Contextual Backtesting: By plotting the cloud historically, you can visually backtest how spreads behave during specific market events (e.g., news releases, volatility spikes). This allows you to identify recurring patterns in liquidity fragmentation. Visualizing Spread Expansion/Contraction: See exactly when opportunities opened and closed in the past. The cloud’s width dynamically reflects the magnitude of historical arbitrage windows, helping you distinguish between fleeting wicks and sustained profitable trends. Correlation Analysis: Directly correlate spread widenings with price action (support/resistance, breakouts) to refine your entry and exit strategies based on proven historical behavior. ⬥ Command-Center Dashboard A professional-grade, tabular overlay designed to act as your central monitoring station. It goes beyond simple data display to provide actionable metrics: ⬦ Micro-Trend Sparklines: Integrated mini-charts within the table columns visualize the recent trajectory of the spread over the last Nbars. This allows you to identify whether an opportunity is expanding (opening up) or compressing (closing down) at a glance, without changing your chart timeframe. ⬦ Net Profit & ROI Logic: The dashboard includes a sophisticated Fee Adjustment Engine. Instead of showing theoretical “Gross Profit,” it optionally deducts user-defined trading fees (e.g., 0.1% maker/taker) and transfer costs. This presents the “True Net Profit,” filtering out opportunities that look good on paper but are unprofitable after costs. ⬦ Composite Quality Scoring (0-100): To simplify decision-making, the engine synthesizes multiple data points into a single “Quality Score.” ◈ Alert System Receive alerts only for opportunities that pass all validation filters (Z-Score, Stability, Volume). A built-in Smart Cooldown prevents notification spam, ensuring each alert is a distinct, actionable event. Every notification includes the essential data: ⬦ Asset & Spread % ⬦ Specific Buy/Sell Venues ◈ Conclusion The Arbitrage Monitoring represents a paradigm shift from standard retail indicators to institutional-grade market analysis. By synthesizing real-time liquidity fragmentation, statistical rigor (Z-Score), and cross-venue data aggregation, this engine solves the primary challenge of modern trading: Data Reliability. It does not merely flag price differences; it mathematically validates the quality and executability of those inefficiencies before they appear on your screen. For the discretionary trader, it acts as a Market Truth Revealer, exposing the hidden liquidity mechanics behind a single candle. For the quantitative arbitrageur, it serves as a robust Signal Validation Layer, filtering out latency noise to isolate genuine alpha. Whether deployed for High-Frequency Scalping in Crypto or Precision Hedging in Forex, this tool transforms the chaotic landscape of global pricing into a structured, actionable, and visually intuitive roadmap. It is the ultimate instrument for traders who demand to see the entire market, not just a single exchange.
Wskaźnik Pine Script®
od ZurvanEG
MASU+ Institutional v4.5+MASU+ Institutional v4.5 Overview MASU+ Institutional v4.5+ is the refined, open-source version of our classic trend-following strategy. It is designed for traders who want a robust, "set-and-forget" algorithmic assistant that combines Institutional Moving Average Ribbons with Smart Money Concepts (SMC). Unlike the complex v7 execution engine (Invite-Only), this v4.5+ version focuses on pure Trend Alignment & Structural Clarity. It is cleaner, faster, and visually optimized for daily market analysis. Key Features in v4 Final 1. Institutional MA Ribbon Engine Logic: Instead of complex kernels, v4.5+ uses a classic 8-EMA Ribbon. Signal: Buying pressure is confirmed only when the ribbon fully aligns (Green Expansion). Selling pressure is confirmed on Red Expansion. Why it works: It filters out 90% of sideways chop, keeping you out of bad trades during low-volume hours. 2. Smart Money Structure (SMC) Auto-BOS: Automatically detects Break of Structure to confirm trend validity. Liquidity Sweeps: Marks "Liquidity Grabs" (LIQ X) where price traps retail traders. Demand & Supply Zones: Dynamically plots unfilled order blocks (Blue/Orange boxes) that act as magnets for price. 3. Volatility & Order Flow Volume Pressure: Analyzes buying vs. selling volume within each candle. Regime Detection: Filters trades based on ADX and BB Width (Trending vs. Ranging). 4. Institutional Dashboard Live Scanner: A comprehensive panel showing Trend Status (15m, 1H, 4H), Risk/Reward metrics, and active signals in real-time. Strategy Logic (How it Trades) This strategy executes a trade only when a High-Confluence Setup occurs: Trend: 15m, 1H, and 4H trends must align. Structure: Price must break structure (BOS) or bounce from a Demand Zone. Volume: Order Flow must confirm the move (Green Volume Pressure). Exit Logic: Take Profit: Fixed 3.0x ATR target. Stop Loss: Fixed 2.0x ATR protection. Trailing Stop: Activates to lock in profits during strong trends. ⚠️ v4.5+ vs. v7 (Comparison) v4.5+ (This Script): ✅ Free & Open Source ✅ Classic MA Ribbon Logic ✅ Standard Risk Management (Fixed SL/TP) ❌ No Equity Guard (Account Protection) ❌ No BOS-Confirmed Execution (Instant Entry) ❌ No Neural Network (AI) v7 (Invite-Only): 🚀 Nadaraya-Watson Kernel (Adaptive) 🚀 ELM Neural Network (AI Filter) 🚀 BOS-Confirmed Entries (Scalping Module) 🚀 Equity Guard (Drawdown Protection) 🚀 Cost-Aware Filtering (Spread Protection) Recommended Settings Timeframe: 1Н Assets: XAUUSD, EURUSD, BTCUSD, US30. Risk: Defaults to Kelly Criterion sizing, but you can adjust to Fixed % in settings. Clean code. Clear signals. Institutional logic.
Strategia Pine Script®
od Mark_Novak
Napolyon 2ndicator Description This indicator is based on the MACD Histogram momentum shift. The system focuses on color transitions within the histogram: When the MACD histogram changes from dark green to light green (indicating weakening bullish momentum) and then turns back to dark green, a long position is triggered on the second candle close after the histogram returns to dark green. For short positions, the logic works in reverse: when the histogram shifts from dark red to light red and then back to dark red, a short position is triggered on the second candle close after the histogram returns to dark red. The strategy aims to capture momentum re-acceleration after a temporary slowdown, filtering out premature entries and reducing false signals. This tool is designed for traders who prefer confirmation-based entries rather than reacting to the first momentum shift. macd 12-26-9
Wskaźnik Pine Script®
od Erdi00