Empiece

Sentiment

Crypto Exchange PremiumDescription: Crypto Exchange Premium The Crypto Exchange Premium indicator is designed to quantify and visualize price disparities between different types of crypto markets — specifically between spot and perpetual futures markets, or between any two customizable sources of price data. By consolidating live data from multiple major exchanges, it creates a unified, cross-market measure of premium (or discount), helping traders identify institutional activity (i. e. by comparing exchanges with high institutional activity against others), arbitrage opportunities, and shifts in market sentiment before they become visible in price action alone. Concept and Purpose In cryptocurrency markets, price divergence between spot and perpetual pairs reflects the real-time interaction of demand and liquidity across market segments. When perpetual prices trade above spot, it implies aggressive long positioning or bullish leverage (positive funding expectations). Conversely, when spot trades above perps, it may reflect net selling pressure in futures or strong spot accumulation. Unlike most tools that rely on funding rates or open interest alone, this indicator measures the actual traded price spread dynamically across exchanges. This allows traders to visualize the “premium curve” of the crypto market in a clear, data-driven format. How It Works The indicator aggregates real-time prices from a wide selection of exchanges, normalizes them into groups, and computes the difference (“premium”) between two chosen reference markets. 1. Exchange Aggregation: Users can toggle individual exchanges for both spot and perpetual aggregation groups. The script automatically calculates group averages by dividing the sum of all enabled exchange prices by the number of valid feeds. Non-USD exchanges (e.g., KRW pairs on Upbit or Bithumb) are automatically converted into USD using live FX data (USDKRW) for accurate normalization. 2. Flexible Comparison Logic: Each leg of the comparison (First vs. Second Source) can be chosen as one of: Local chart symbol Custom symbol Aggregated Spot group Aggregated Perpetual group This allows users to compare, for example: Binance Spot vs. Global Perp Average Coinbase Spot vs. Binance Perp BTCUSD vs. BTCUSDT.P (or any cross-exchange combination) 3. Premium Calculation: The final value is computed as: Premium = First Source Price − Second Source Price and is plotted as a histogram (positive = green, negative = red). This visual instantly shows whether the first source trades at a premium or discount relative to the second. How to Use Select Data Sources: Configure the “First Symbol” and “Second Symbol” in the settings. For most use cases: First Symbol → Perps (Aggregated) Second Symbol → Spot (Aggregated) Adjust Exchange Selection: Enable or disable individual exchanges to fine-tune your data set. For instance, disabling Korean exchanges filters out regional FX distortions. Originality and Value While many exchange difference or “premium indicators” track one or two exchanges, this script introduces multi-exchange aggregation, cross-market normalization, and user-configurable pairing, resulting in a more holistic and accurate reflection of market structure. It bridges a gap between macro market breadth and microstructural price dynamics, empowering traders to: Detect arbitrage inefficiencies between spot and perps. Track regional price dislocations (USD vs. KRW). Gauge the intensity of speculative leverage over time. Anticipate funding rate shifts and liquidation clusters before they happen.
Indicador Pine Script®
por mxdvt07
First Passage Time - Distribution AnalysisThe First Passage Time (FPT) Distribution Analysis indicator is a sophisticated probabilistic tool that answers one of the most critical questions in trading: "How long will it take for price to reach my target, and what are the odds of getting there first?" Unlike traditional technical indicators that focus on what might happen, this indicator tells you when it's likely to happen. Mathematical Foundation: First Passage Time Theory What is First Passage Time? First Passage Time (FPT) is a concept in stochastic processes that measures the time it takes for a random process to reach a specific threshold for the first time. Originally developed in physics and mathematics, FPT has applications in: Quantitative Finance: Option pricing, risk management, and algorithmic trading Neuroscience: Modeling neural firing patterns Biology: Population dynamics and disease spread Engineering: Reliability analysis and failure prediction The Mathematics Behind It This indicator uses Geometric Brownian Motion (GBM), the same stochastic model used in the Black-Scholes option pricing formula: dS = μS dt + σS dW Where: S = Asset price μ = Drift (trend component) σ = Volatility (uncertainty component) dW = Wiener process (random walk) Through Monte Carlo simulation, the indicator runs 1,000+ price path simulations to statistically determine: When each threshold (+X% or -X%) is likely to be hit Which threshold is hit first (directional bias) How often each scenario occurs (probability distribution) 🎯 How This Indicator Works Core Algorithm Workflow: Calculate Historical Statistics Measures recent price volatility (standard deviation of log returns) Calculates drift (average directional movement) Annualizes these metrics for meaningful comparison Run Monte Carlo Simulations Generates 1,000+ random price paths based on historical behavior Tracks when each path hits the upside (+X%) or downside (-X%) threshold Records which threshold was hit first in each simulation Aggregate Statistical Results Calculates percentile distributions (10th, 25th, 50th, 75th, 90th) Computes "first hit" probabilities (upside vs downside) Determines average and median time-to-target Visual Representation Displays thresholds as horizontal lines Shows gradient risk zones (purple-to-blue) Provides comprehensive statistics table 📈 Use Cases 1. Options Trading Selling Options: Determine if your strike price is likely to be hit before expiration Buying Options: Estimate probability of reaching profit targets within your time window Time Decay Management: Compare expected time-to-target vs theta decay Example: You're considering selling a 30-day call option 5% out of the money. The indicator shows there's a 72% chance price hits +5% within 12 days. This tells you the trade has high assignment risk. 2. Swing Trading Entry Timing: Wait for higher probability setups when directional bias is strong Target Setting: Use median time-to-target to set realistic profit expectations Stop Loss Placement: Understand probability of hitting your stop before target Example: The indicator shows 85% upside probability with median time of 3.2 days. You can confidently enter long positions with appropriate position sizing. 3. Risk Management Position Sizing: Larger positions when probability heavily favors one direction Portfolio Allocation: Reduce exposure when probabilities are near 50/50 (high uncertainty) Hedge Timing: Know when to add protective positions based on downside probability Example: Indicator shows 55% upside vs 45% downside—nearly neutral. This signals high uncertainty, suggesting reduced position size or wait for better setup. 4. Market Regime Detection Trending Markets: High directional bias (70%+ one direction) Range-bound Markets: Balanced probabilities (45-55% both directions) Volatility Regimes: Compare actual vs theoretical minimum time Example: Consistent 90%+ bullish bias across multiple timeframes confirms strong uptrend—stay long and avoid counter-trend trades. First Hit Rate (Most Important!) Shows which threshold is likely to be hit FIRST: Upside %: Probability of hitting upside target before downside Downside %: Probability of hitting downside target before upside These always sum to 100% ⚠️ Warning: If you see "Low Hit Rate" warning, increase this parameter! Advanced Parameters Drift Mode Allows you to explore different scenarios: Historical: Uses actual recent trend (default—most realistic) Zero (Neutral): Assumes no trend, only volatility (symmetric probabilities) 50% Reduced: Dampens trend effect (conservative scenario) Use Case: Switch to "Zero (Neutral)" to see what happens in a pure volatility environment, useful for range-bound markets. Distribution Type Percentile: Shows 10%, 25%, 50%, 75%, 90% levels (recommended for most users) Sigma: Shows standard deviation levels (1σ, 2σ)—useful for statistical analysis ⚠️ Important Limitations & Best Practices Limitations Assumes GBM: Real markets have fat tails, jumps, and regime changes not captured by GBM Historical Parameters: Uses recent volatility/drift—may not predict regime shifts No Fundamental Events: Cannot predict earnings, news, or macro shocks Computational: Runs only on last bar—doesn't give historical signals Remember: Probabilities are not certainties. Use this indicator as part of a comprehensive trading plan with proper risk management. Created by: Henrique Centieiro. feedback is more than welcome!
Indicador Pine Script®
por HenriqueCentieiro
6
Synthetic Implied APROverview The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate. The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized. What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity. How it calculates The synthetic implied APR is calculated with these steps: Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator) Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits) Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365) Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding) premium_component = (prem_avg / 50 ) * 365 weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3) impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength)) How to use it: Generally Preface: Funding rates are an indication of market sentiment If funding is positive, generally the market is bullish as longs are willing to pay shorts funding If funding is negative, generally the market is bearish as shorts are willing to pay longs funding So, this script can be used like a typical oscillator: Bullish: If implied APR > MA OR if implied APR MA is green Bearish: If implied APR < MA OR if implied APR MA is red The components: Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA) How to use it: Trading Funding When trading funding there're multiple ways to use it with different settings Trade funding rates with trend changes Settings: Weight = 1 Method 1: When the implied APR MA turns green, long funding rates (or short if red) Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below) Trade funding rates with MA pullbacks Settings: Weight = 0.7, timeframe 15m In an uptrend: When implied APR crosses below then above the script, long funding opportunity In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity You can determine the trend with the method before, using a weight of 1 To trade funding rates, it's best to have these 3 scripts at these settings: Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures) Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change) Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility How to use it: Trading Futures When trading futures: You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods To prevent whipsaws, weight should remain high Long trend: When the implied APR MA turns green OR when it crosses above its MA Short trend: When the implied APR MA turns red OR when it below above its MA Why it's original This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense. Notes Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best Only works for coins that have a Binance premium index Inputs Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator Bullish Color - Sets the color for positive values in the table and rising MA line Bearish Color - Sets the color for negative values in the table and falling MA line Table Background - Customizes the background color and transparency of the information dashboard Table Text Color - Sets the color for label text in the left column of the information table Table Text Size - Controls the font size of table text with options from Tiny to Huge
Indicador Pine Script®
por stormeta
Market Structure DashboardThis indicator displays a **multi-timeframe dashboard** that helps traders track market structure across several horizons: Monthly, Weekly, Daily, H4, H1, M15, and M5. It identifies the current trend (Bullish, Bearish, or Neutral) based on the progression of **swing highs and lows** (HH/HL, LH/LL). For each timeframe, the dashboard shows: * The **current structure** (Bullish, Bearish, Neutral) with a clear color code (green, red, gray). * **Pivot information**: * either the latest swing high/low values, * or the exact date and time of their occurrence (user-selectable in the settings). An integrated **alert system** notifies you whenever the market structure changes (e.g., "Daily: Neutral → Bullish"). ### Key Features: * Clear overview of multi-timeframe market structures. * Customizable pivot info display (values or timestamps). * Built-in alerts on trend changes. * Compact and readable dashboard, displayed in the top-right corner of the chart. This tool is ideal for traders who want to quickly assess the **overall market structure** across multiple timeframes and be instantly alerted to potential reversals.
Indicador Pine Script®
por g_pasquereau59
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance. THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?" KEY COMPONENTS AND WEIGHTINGS The trend score combines ▪ Momentum (25%): Normalized 14-period RSI, capped at ±100. ▪ Trend Direction (35%): 10/21-period EMA relationships, ▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100. ▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100. Final score = Weighted sum, smoothed with 5-period EMA. INTERPRETING THE MSTG CHART Trend Score Ranges and Colors ▪ Bright Green (>+30): Strong bullish; ideal for long entries. ▪ Light Green (+10 to +30): Weak bullish; cautiously favorable. ▪ Gray (-10 to +10): Neutral; avoid directional trades. ▪ Light Red (-10 to -30): Weak bearish; exercise caution. ▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts. Reference Lines ▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes. ▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends. ▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist. Background Colors ▪ Green Tint (>+20): Bullish environment; favorable for longs. ▪ Red Tint (<-20): Bearish environment; caution for longs. ▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals. Extreme Readings vs. Traditional Signals MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30. INFORMATION TABLE INTERPRETATION Trend Score Symbols  ▲▲ >+30 strong bullish  ▲ +10 to +30  ● -10 to +10 neutral  ▼ -30 to -10  ▼▼ <-30 strong bearish  Colors: Green (positive), White (neutral), Red (negative). Momentum Score  +40 to +100 strong bullish  0 to +40 moderate bullish  -40 to 0 moderate bearish  -100 to -40 strong bearish Market vs. Stock ▪ Green: Stock outperforming market ▪ Red: Stock underperforming market Example Interpretations:  -0.45% / +1.23% (Green): Market down, stock up = Strong relative strength  +2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness  -1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD ⚠️ Critical distinctions Traditional Overbought/Oversold Signals: ▪ Single indicator (like RSI >70 or <30) showing momentum excess ▪ Often suggests immediate reversal or pullback expected ▪ Based on "price moved too far, too fast" concept MSTG Extreme Readings (±60): ▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength) ▪ Indicates maximum strength in current direction ▪ NOT a reversal signal - means "all systems extremely bullish/bearish" Key Differences: ▪ RSI >70: "Price got ahead of itself, expect pullback" ▪ MSTG >+60: "Everything is extremely bullish right now" ▪ Strong trends can maintain extreme MSTG readings during major moves ▪ Breakdowns happen when MSTG falls below +30, not at +60 Proper Usage of Extreme Readings: ▪ Risk Management: Tighten stops, take partial profits ▪ Position Sizing: Reduce new position sizes at extremes ▪ Trend Continuation: Watch for sustained extreme readings in strong markets ▪ Exit Signals: Look for breakdown below +30, not reversal from +60 TRADING WITH MSTG Quick Assessment 1. Check trend symbol for direction. 2. Confirm momentum strength. 3. Note relative performance color. Examples:  ▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.  ▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning. Entry Conditions ▪ Long: stock outperforming market  - Score >+30 (bright green)  - Sustained green background  - ▲▲ symbol, ▪ Short: stock underperforming market  - Score <-30 (bright red)  - Sustained red background  - ▼▼ symbol Avoid Trading When: ▪ Gray zone (-10 to +10). ▪ Rapid color changes or frequent zero-line crosses (choppy market). ▪ Gray background (range-bound). Risk Management: ▪ Stop Loss: Exit on zero-line crossover against position. ▪ Take Profit: Partial at ±60 for risk control. ▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions. KEY ADVANTAGES ▪ Unified View: Weighted composite reduces noise and conflicts. ▪ Visual Clarity: 5-color system with gradients for rapid recognition. ▪ Market Context: Relative strength vs. SPY identifies leaders/laggards. ▪ Flexibility: Works across timeframes (1-min to weekly); customizable table. ▪ Noise Reduction: EMA smoothing minimizes false signals. EXAMPLES Strong Bull: Trend Score 71.9, Momentum Score 76.9 Neutral: Trend Score 0.1, Momentum Score -9.2 Strong Bear: Trend Score -51.7, Momentum Score -51.5 PERFORMANCE AND LIMITATIONS Strengths: Trend identification, noise reduction, relative performance versus market. Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets. Recommendations: View on multiple timeframes, combine with price action and fundamentals.
Indicador Pine Script®
por LevelUpTools
20
Sector RSI (Auto-Select)This indicator measures the relative strength momentum of any stock against its most closely correlated sector ETF, using the Relative Strength Index (RSI). Auto sector selection: The script computes correlations between your symbol’s short-term returns and all major SPDR sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY, XTN). The sector with the highest correlation is automatically chosen as the benchmark. Sector vs Symbol RSI: It calculates RSI (default 14-period) for both the chosen sector and the current chart’s symbol. Display modes: Line mode: Plots both RSIs with colored fill (red if the sector RSI is stronger, green if the symbol RSI is stronger). Histogram mode: Shows the difference between Sector RSI and Symbol RSI as a column chart. RSI bands: Standard 70/50/30 reference lines are available in line mode. Status line: The selected sector’s ticker is shown on the TradingView status line so you always know which sector is being used. Use Cases: Identify whether a stock’s momentum is driven by its sector or if it’s showing independent relative strength. Detect sector rotations: when the stock begins to outperform or underperform its sector on momentum basis. Combine with absolute RSI levels (overbought/oversold) to filter signals. Notes: This tool infers sector membership via rolling correlation, not from static classification metadata. This means in some cases (e.g. diversified companies or news shocks) the “best” sector may not be the official one, but the one most correlated in the current market regime. Use min positive correlation input to filter out weak matches and enforce a fallback (defaults to Technology XLK).
Indicador Pine Script®
por MPR86
Crypto Market Dominance Stacked with LabelsA professional stacked area chart showing the dominance of major crypto market segments: BTC, ETH, Top 100 Altcoins, and #101+ Altcoins. Each layer is color-coded for clarity and includes dynamic labels with the current dominance percentage. Provides a clear visual representation of market share trends for traders, analysts, and crypto enthusiasts. Features: Stacked visualization of BTC, ETH, Top 100, and small-cap altcoins (#101+). Color-coded areas for easy identification. Dynamic labels showing each category’s current dominance percentage. Horizontal reference lines for percentage levels. Approximates top 100 and #101+ altcoins using TOTAL2 and TOTAL3 market cap tickers. Use Case: Track how market share shifts between BTC, ETH, large altcoins, and smaller altcoins over time. Ideal for analyzing trends, spotting dominance changes, and visualizing overall crypto market structure.
Indicador Pine Script®
por Laowai_YuriK
Irrationality Index by CRYPTO_ADA_BTC"The market can be irrational longer than you can stay solvent" ~ John Maynard Keynes This indicator, the Irrationality Index, measures how far the current market price has deviated from a smoothed estimate of its "fair value," normalized for recent volatility. It provides traders with a visual sense of when the market may be behaving irrationally, without giving direct buy or sell signals. How it works: 1. Fair Value Calculation The indicator estimates a "fair value" for the asset using a combination of a long-term EMA (exponential moving average) and a linear regression trend over a configurable period. This fair value serves as a smoothed baseline for price, balancing trend-following and mean-reversion. 2. Volatility-Adjusted Z-Score The deviation between price and fair value is measured in standard deviations of recent log returns: Z = (log(price) - log(fairValue)) / volatility This standardization accounts for different volatility environments, allowing comparison across assets. 3. Irrationality Score (0–100) The Z-score is transformed using a logistic mapping into a 0–100 scale: - 50 → price near fair value (rational zone) - >75 → high irrationality, price stretched above fair value - >90 → extreme irrationality, unsustainable extremes - <25 → high irrationality, price stretched below fair value - <10 → extreme bearish irrationality 4. Price vs Fair Value (% deviation) The indicator plots the percentage difference between price and fair value: pctDiff = (price - fairValue) / fairValue * 100 - Positive values → Percentage above fair value (optimistic / overvalued) - Negative values → Percentage below fair value (pessimistic / undervalued) Visuals: - Irrationality (%) Line (0–100) shows irrationality level. - Background Colors: Yellow= high bullish irrationality, Green= extreme bullish irrationality, Orange= high bearish irrationality, Red= extreme bearish irrationality. - Price - FairValue (%) plot: price deviation vs fair value (%), Colored green above 0 and red below 0. - Label: display actual price, estimated fair value, and Z-score for the latest bar. - Alerts: configurable thresholds for high and extreme irrationality. How to read it: - 50 → Market trading near fair value. - >75 / >90 → Price may be irrationally high; risk of pullback increases. - <25 / <10 → Price may be irrationally low; potential rebound zones, but trends can continue. - Price - FairValue (%) plot → visual guide for % price stretch relative to fair value. Notes / Warnings: - Measures relative deviation, not fundamental value! - High irrationality scores do not automatically indicate trades; markets can remain can be irrational longer than you can stay solvent . - Best used with other tools: momentum, volume, divergence, and multi-timeframe analysis.
Indicador Pine Script®
por CRYPTO_ADA_BTC
1
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure. How It Works The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD). Volume Z-Score The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction. Cumulative Volume Delta (CVD) CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure. Cluster Categories The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret: 🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum. 🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum. 🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent. 🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics. Key Features & Customization The script offers several customizable settings to tailor the analysis to your specific trading style: Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context. CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure. High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Indicador Pine Script®
por immediatePerso44773
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders What it is BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change. Use it to: • Detect emerging trends sooner without overreacting to noise. • Filter mean-reversion vs continuation opportunities. • Gate entries with a confidence score that reflects both strength and persistence of the move. • Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself. ⸻ Why it’s different • Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade. • Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter. • Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each. • No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references. • Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed. ⸻ What you see on the chart • Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious. • Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise. • Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence. • Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45). • Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics. ⸻ How it works (under the hood) 1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules). 2. Per-bin features (computed every bar): • RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1. • Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift). 3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0. 4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies. 5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA. Why it doesn’t repaint: • No future references, no MTF resampling, fitness updates only on confirmed bars. • All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally. ⸻ Signals & confidence • Bullish bias: consensus ≥ bullThr (e.g., 55). • Bearish bias: consensus ≤ bearThr (e.g., 45). • Confidence (0–100): • Distance score: how far consensus is from 50. • Momentum score: how strong the recent change is versus its recent average. • Combined into a single gate; start filtering entries at ≥60 for higher quality. Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45. ⸻ Inputs you’ll actually tune • Agents & horizons: • N_agents (e.g., 64–128) • lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing) • numBins (e.g., 12–24) • Weights & smoothing: • wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto) • deadBand (0.03–0.08) • consSmooth (3–8) • Thresholds & hygiene: • bullThr/bearThr (55/45 default) • cooldownBars to avoid signal spam ⸻ Playbooks (ready-to-use) 1) Breakout / Trend continuation • Timeframe: 15m–1h for day/swing. • Filter: Take longs only when consensus > 55 and confidence ≥ 60. • Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints. 2) Mean reversion (fade) • When: Sideways days or low-volatility clusters. • Setup: Increase deadBand and consSmooth. • Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50. • Targets: The neutral zone (~50) as the first take-profit. 3) Multi-TF alignment • Keep BioSwarm on 1H for bias, execute on 5–15m: • Only take entries in the direction of the 1H consensus. • Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan). ⸻ Integrations that work • DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree. • ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short). • Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers. ⸻ Quick start 1. Drop the indicator on a 1H chart. 2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45. 3. Trade only when confidence ≥ 60. 4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits. ⸻ Non-repainting & safety notes • No request.security(); no hidden lookahead. • Bar-close confirmation for fitness and signals. • All TA calls are unconditional (no “sometimes called” warnings). • No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin. ⸻ Known limits & tips • Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40. • Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47. • Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96). • Compute load: Large N_agents × numBins is heavier; scale to your device. ⸻ Example recipes EURUSD 1H (swing): lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45 Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level. SPY 15m (US session): lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05 On trend days, stay with longs as long as consensus >55; add on shallow pullbacks. BTC 1H (24/7): Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals. ⸻ Final word BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Indicador Pine Script®
por ACTradeFIN
DynamoSent DynamoSent Pro+ — Professional Listing (Preview) — Adaptive Macro Sentiment (v6) — Export, Adaptive Lookback, Confidence, Boxes, Heatmap + Dynamic OB/OS Preview / Experimental build. I’m actively refining this tool—your feedback is gold. If you spot edge cases, want new presets, or have market-specific ideas, please comment or DM me on TradingView. ⸻ What it is DynamoSent Pro+ is an adaptive, non-repainting macro sentiment engine that compresses VIX, DXY and a price-based activity proxy (e.g., SPX/sector ETF/your symbol) into a 0–100 sentiment line. It scales context by volatility (ATR%) and can self-calibrate with rolling quantile OB/OS. On top of that, it adds confidence scoring, a plain-English Context Coach, MTF agreement, exportable sentiment for other indicators, and a clean Light/Dark UI. Why it’s different • Adaptive lookback tracks regime changes: when volatility rises, we lengthen context; when it falls, we shorten—less whipsaw, more relevance. • Dynamic OB/OS (quantiles) self-calibrates to each instrument’s distribution—no arbitrary 30/70 lines. • MTF agreement + Confidence gate reduce false positives by highlighting alignment across timeframes. • Exportable output: hidden plot “DynamoSent Export” can be selected as input.source in your other Pine scripts. • Non-repainting rigor: all request.security() calls use lookahead_off + gaps_on; signals wait for bar close. Key visuals • Sentiment line (0–100), OB/OS zones (static or dynamic), optional TF1/TF2 overlays. • Regime boxes (Overbought / Oversold / Neutral) that update live without repaint. • Info Panel with confidence heat, regime, trend arrow, MTF readout, and Coach sentence. • Session heat (Asia/EU/US) to match intraday behavior. • Light/Dark theme switch in Inputs (auto-contrasted labels & headers). ⸻ How to use (examples & recipes) 1) EURUSD (swing / intraday blend) • Preset: EURUSD 1H Swing • Chart: 1H; TF1=1H, TF2=4H (default). • Proxies: Defaults work (VIX=D, DXY=60, Proxy=D). • Dynamic OB/OS: ON at 20/80; Confidence ≥ 55–60. • Playbook: • When sentiment crosses above 50 + margin with Δ ≥ signalK and MTF agreement ≥ 0.5, treat as trend breakout. • In Oversold with rising Coach & TF agreement, take fade longs back toward mid-range. • Alerts: Enable Breakout Long/Short and Fade; keep cooldown 8–12 bars. 2) SPY (daytrading) • Preset: SPY 15m Daytrade; Chart: 15m. • VIX (D) matters more; preset weights already favor it. • Start with static 30/70; later try dynamic 25/75 for adaptive thresholds. • Use Coach: in US session, when it says “Overbought + MTF agree → sell rallies / chase breakouts”, lean momentum-continuation after pullbacks. 3) BTCUSD (crypto, 24/7) • Preset: BTCUSD 1H; Chart: 1H. • DXY and BTC.D inform macro tone; keep Carry-forward ON to bridge sparse ticks. • Prefer Dynamic OB/OS (15/85) for wider swings. • Fade signals on weekend chop; Breakout when Confidence > 60 and MTF ≥ 1.0. 4) XAUUSD (gold, macro blend) • Preset: XAUUSD 4H; Chart: 4H. • Weights tilt to DXY and US10Y (handled by preset). • Coach + MTF helps separate trend legs from news pops. ⸻ Best practices • Theme: Switch Light/Dark in Inputs; the panel adapts contrast automatically. • Export: In another script → Source → DynamoSent Pro+ → DynamoSent Export. Build your own filters/strategies atop the same sentiment. • Dynamic vs Static OB/OS: • Static 30/70: fast, universal baseline. • Dynamic (quantiles): instrument-aware; use 20/80 (default) or 15/85 for choppy markets. • Confidence gate: Start at 50–60% to filter noise; raise when you want only A-grade setups. • Adaptive Lookback: Keep ON. For ultra-liquid indices, you can switch it OFF and set a fixed lookback. ⸻ Non-repainting & safety notes • All request.security() calls use lookahead=barmerge.lookahead_off and gaps=barmerge.gaps_on. • No forward references; signals & regime flips are confirmed on bar close. • History-dependent funcs (ta.change, ta.percentile_linear_interpolation, etc.) are computed each bar (not conditionally). • Adaptive lookback is clamped ≥ 1 to avoid lowest/highest errors. • Missing-data warning triggers only when all proxies are NA for a streak; carry-forward can bridge small gaps without repaint. ⸻ Known limits & tips • If a proxy symbol isn’t available on your plan/exchange, you’ll see the NA warning: choose a different symbol via Symbol Search, or keep Carry-forward ON (it defaults to neutral where needed). • Intraday VIX is sparse—using Daily is intentional. • Dynamic OB/OS needs enough history (see dynLenFloor). On short histories it gracefully falls back to static levels. Thanks for trying the preview. Your comments drive the roadmap—presets, new proxies, extra alerts, and integrations.
Indicador Pine Script®
por ACTradeFIN
BIST30 % Above Moving Average (Breadth) BIST30 % Above Moving Average (Breadth) This indicator shows the percentage of BIST30 stocks trading above a selected moving average. It is a market breadth tool, designed to measure the overall health and participation of the market. How it works By default, it uses the 50-day SMA. You can switch between SMA/EMA and choose different periods (5 / 20 / 50 / 200). The script checks each BIST30 stock individually and counts how many are closing above the chosen MA. Interpretation Above 80% → Overbought zone (short-term correction likely). Below 20% → Oversold zone (potential rebound). Around 50% → Neutral / indecisive market. If the index (BIST:XU030) rises while this indicator falls → the rally is narrow-based, led by only a few stocks (a warning sign). Use cases Short-term traders → Use MA=5 or 20 for momentum signals. Swing / Medium-term investors → Use MA=50 for market health. Long-term investors → Use MA=200 to track bull/bear market cycles. Notes This script covers only BIST30 stocks by default. The list can be updated for BIST100 or specific sectors (e.g., banks, industrials). Breadth indicators should not be used as standalone buy/sell signals — combine them with price action, volume, and other technical tools for confirmation.
Indicador Pine Script®
por Ceyhunzdemir