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Pendiente EMA20This indicator measures the slope of the 20-period Exponential Moving Average (EMA20) to objectively determine whether it is rising, falling, or flat, removing the need for visual guesswork. The slope is calculated as the difference between the current EMA20 value and its value N bars ago. This provides a simple and reliable way to filter market conditions: Positive slope → EMA20 is rising (bullish bias) Negative slope → EMA20 is falling (bearish bias) Near zero → EMA20 is flat (range / no clear trend) The background color highlights these states for quick visual confirmation. Notes A zero threshold is included by default and may need adjustment depending on the asset and timeframe. For better robustness in ranging markets, consider normalizing the slope using ATR or ticks. This indicator is intended as a trend filter, not as a standalone trading system.
อินดิเคเตอร์ Pine Script®
โดย danavillanueva
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed. THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center. THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029. HOW TO READ THE CHART • The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion. • The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature. • The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029. WHY THIS IS "FRESH" Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant. This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action. TAGS bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
อินดิเคเตอร์ Pine Script®
โดย Rob_Maths
Bias Daily 3.0Bias Daily Indicator with Breakout Alerts This indicator plots bullish, bearish, and consolidation bias levels based on previous daily candles. It draws horizontal lines at prior candle highs and lows and lets you track momentum shifts visually. It also includes flexible alerts: Break previous candle high Break previous candle low Break either high or low Perfect for spotting key breakout levels and identifying market bias across all intraday and higher timeframes. Fully customizable line colors, styles, and number of previous levels displayed.
อินดิเคเตอร์ Pine Script®
โดย Munnymike
Futures Trend Signaler Final VersionFutures Trend Signaler is a compact, multi-timeframe EMA “trend dashboard” built for intraday futures/index trading. It displays a clean table (1m + two lower timeframes you choose, e.g., 15s and 1s) that shows: EMA 9 vs EMA 21 (short-term momentum / immediate trend direction) EMA 21 vs EMA 50 (trend “sustainability” / broader continuation bias) Price vs 1m EMA 9 (LTF/Ultra price position relative to the 1-minute momentum line) Each cell is color-coded (green = bullish, red = bearish, gray = neutral/na) so you can read bias at a glance. When a new EMA crossover occurs, the table also flags it (and tracks the most recent bull/bear cross) so you can quickly see if momentum just flipped—without cluttering the chart with overlapping markers. Fully customizable table position and text size. Designed to stay lightweight by using minimal higher/lower timeframe requests. Disclaimer: This indicator is for informational/educational purposes only and is not financial advice. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย babaflargslugdook
[Sumit Ingole] 200-EMA SUMIT INGOLE Indicator Name: 200 EMA Strategy Pro Overview The 200-period Exponential Moving Average (EMA) is widely regarded as the "Golden Line" by professional traders and institutional investors. This indicator is a powerful tool designed to identify the long-term market trend and filter out short-term market noise. By giving more weight to recent price data than a simple moving average, this EMA reacts more fluidly to market shifts while remaining a rock-solid trend confirmation tool. Key Features Trend Filter: Instantly distinguish between a Bull market and a Bear market. Price above 200 EMA: Bullish Bias Price below 200 EMA: Bearish Bias Dynamic Support & Resistance: Acts as a psychological floor or ceiling where major institutions often place buy or sell orders. Institutional Benchmark: Since many hedge funds and banks track this specific level, price reactions near the 200 EMA are often highly significant. Reduced Lag: Optimized exponential calculation ensures you stay ahead of the curve compared to traditional lagging indicators. How to Trade with 200 EMA Trend Confirmation: Only look for "Buy" setups when the price is trading above the 200 EMA to ensure you are trading with the primary trend. Mean Reversion: When the price stretches too far away from the 200 EMA, it often acts like a magnet, pulling the price back toward it. The "Death Cross" & "Golden Cross": Use this in conjunction with shorter EMAs (like the 50 EMA) to identify major trend reversals. Exit Strategy: Can be used as a trailing stop-loss for long-term positional trades. Best Used On: Timeframes: Daily (1D), 4-Hour (4H), and Weekly (1W) for maximum accuracy. Assets: Highly effective for Stocks, Forex (Major pairs), and Crypto (BTC/ETH). Disclaimer: This tool is for educational and analytical purposes only. Trading involves risk, and it is recommended to use this indicator alongside other technical analysis tools for better confirmation.
อินดิเคเตอร์ Pine Script®
โดย rahulingole4712
Enhanced Predictive Candles with MomentumSummary of improvements: Trend confirmation: EMA crossover, RSI > 50, and MACD line > Signal for bullish, and vice versa for bearish. Momentum validation: Uses RSI and MACD to confirm momentum before drawing prediction candles. Dynamic height: Adjusts candle height based on ATR and volatility. Clear visualization: Draws prediction zones, candles, wicks, and labels with clear colors.
อินดิเคเตอร์ Pine Script®
โดย chuyguerra
The Vector Alignment Matrix (VAM) - Pivot ExitIndicator Description: The Vector Alignment Matrix (VAM) – Pivot Exit Edition The Vector Alignment Matrix (VAM) is an institutional-grade technical analysis tool designed for TradingView. It operates as a trend-following confluence engine, ensuring that lower-timeframe execution only occurs when supported by the "Weight of the Market"—the high-timeframe trend. By automating the "Top-Down Analysis" methodology, VAM removes trader subjectivity and provides a clear, mechanical framework for entries and exits based on market structure. Core Mechanics 1. The Global Matrix (HTF Alignment) The indicator continuously monitors three critical timeframes: the Weekly (W), Daily (D), and 4-Hour (4H). It uses a price-relative-to-range calculation to determine if the trend is Bullish or Bearish. A "Matrix Bias" is established only when at least two of these timeframes agree. This bias acts as a safety switch: if the Matrix is BULLISH, the indicator will ignore all sell signals, and vice versa. 2. Vector Execution (Break of Structure) Once a bias is confirmed, the VAM looks for a Break of Structure (BOS) on the chart you are actively viewing. It identifies significant Pivot Highs and Pivot Lows. A signal is generated when price closes beyond a pivot in the direction of the Matrix Bias. This represents the moment the market "reveals its hand," confirming that the high-timeframe momentum is being absorbed by the lower timeframe. 3. Dynamic Pivot-Targeting (The Exit) Unlike standard indicators that use arbitrary math for targets, the VAM uses Organic Exits. Take Profit (TP): The indicator identifies the previous significant pivot level (resistance for longs, support for shorts) and sets it as the target. Stop Loss (SL): The protective stop is anchored to the most recent opposing pivot, protecting the trade behind a structural barrier.
อินดิเคเตอร์ Pine Script®
โดย day_trade_mind
Band Walk Detector TENKYO [BASIC]1. Abstract: The Computational Resolution of Cognitive Latency This publication presents the findings of the "TENKYO" Research Project , focusing on the algorithmic detection of high-probability volatility breakouts ("Band Walks") on the 15-minute timeframe. Problem Statement: Manual trading suffers from a critical "Cognitive Latency Gap." A trader cannot simultaneously process multi-dimensional variables—volatility expansion rates (derivative of variance), candle morphology (price rejection ratios), and time-weighted liquidity cycles—within the millisecond timeframe required for optimal execution. Solution: This script is not a discretionary indicator but a Hard-Coded Decision Support System . It automates the verification of market conditions using a "Piecewise Constant Parameter Model," offloading the computational burden from the human operator to the CPU. Note: This is a research release for the verification of the TENKYO logic, not a commercial product. 2. Theoretical Framework & Methodology The architecture of this script rejects the standard "Stationary Volatility Assumption" (the idea that market behavior is consistent throughout the day). Instead, it adopts a Time-Segmented Heteroskedasticity Model. A. Temporal Segmentation Logic (The Session Filter) Global forex markets exhibit distinct liquidity profiles based on the active session (London, New York, Tokyo/Sydney). A standard deviation ($\sigma$) that signals a breakout in the Asian session is often mere noise in the London session.To solve this, the script partitions the trading day into four distinct phases ($S_1, S_2, S_3, S_4$) and applies a Dynamic Parameter Matrix: ・ Logic: $P(t) = \{ \text{Length}_i, \text{Mult}_i, \text{Threshold}_i \}$ where $t \in S_i$ ・ Implementation: The script contains an extensive if-else structure that automatically swaps the Lookback Period and Deviation Multiplier based on the timestamp. This allows the algorithm to "tighten" or "loosen" its sensitivity relative to expected market volume. B. Synthetic Execution Modeling (Bid/Ask Simulation) TradingView's default variables (close, high, low) represent mid-market data, which fails to account for the spread cost inherent in execution. ・Correction: This algorithm internally calculates synthetic Bid and Ask prices using a defined spread factor ($\Delta$). ・Formula: $$P_{Ask} = P_{Mid} + (\Delta / 2), \quad P_{Bid} = P_{Mid} - (\Delta / 2)$$ 3. Algorithmic Core: The "TENKYO" Logic The script identifies a "Band Walk" only when three independent layers of logic align perfectly. Layer 1: The Volatility Impulse (Expansion) The primary trigger is not merely price crossing a band, but the acceleration of the Band Width. ・Condition: The algorithm monitors the differential of the Upper and Lower bands. A signal is generated only if the expansion velocity exceeds a predefined Pips threshold (bwGrow_px) specifically tuned for the current session $S_i$. Layer 2: Morphological Rejection Filtering (Wick Analysis) To filter out "Mean Reversion Traps" (False Breakouts), the script analyzes the morphology of the signal candle using a Wick-to-Body Ratio test. ・The Trap: A candle that breaks the band but closes with a long rejection wick indicates exhausted momentum. ・The Filter: Let $R_{wb} = \text{Body} / \text{RejectionWick}$. If $R_{wb} < \text{Threshold}_{Si}$,, the signal is suppressed.This mathematical filter prevents the user from entering trades where the market sentiment has already reversed within the candle's duration.Layer 3: The "Scramble" State (Momentum Continuity) The script introduces a unique state machine called "Scramble." ・Purpose: To detect re-entry opportunities during a high-momentum trend. ・Mechanism: If the market enters an "Endure" state (a pause in expansion) but validates specific continuity conditions (price remains within the $2\sigma$ corridor without violating the trend vector), the algorithm flags a "Scramble" signal. This effectively distinguishes between a "Trend Reversal" and a "Trend Pause." 4. Operational Features & Visual Guide This tool is designed to serve as a rigorous "Filter" for manual trading. ・The "Mushy" Zone: Visualized by a gray fill between bands. This represents a low-kurtosis, mean-reverting market state where trend-following strategies are statistically disadvantageous. The algorithm disables all signals in this zone. ・Secure & Breakeven Visualization: The script projects potential exit points based on Maximum Favorable Excursion (MFE) logic calculated from the entry bar's synthetic price. This assists the user in objective trade management. ・Hard-Coded Optimization: Users will notice that many parameters are locked or preset. This is intentional. These values are derived from extensive backtesting on EURUSD and JPY pairs and serve as the "Control" variables for this research. 5. Conclusion The Band Walk Detector TENKYO is a comprehensive logical framework that integrates time, volatility, and morphology. It denies the simplistic "one-size-fits-all" approach of standard indicators in favor of a granular, session-adaptive model. It provides the trader with a computationally verified "Go/No-Go" signal, bridging the gap between human intuition and algorithmic precision.
อินดิเคเตอร์ Pine Script®
โดย bonno_original
util_overlay_v1What is Lorem Ipsum? Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. Why do we use it? It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
อินดิเคเตอร์ Pine Script®
โดย xk7trader2847
TTC Open Lines v1This liquidity-based key level indicator displays previous highs and lows from the daily, weekly, monthly, quarterly, and yearly charts. These price levels serve as important reference points in the trading of any market or financial instrument. They also represent high-probability reaction zones, making them ideal areas to look for trades using simple confirmation patterns. Each level plays a crucial role in determining whether the market is likely to continue its current trend or reverse direction. I like to think of these levels as two magnets — they can either attract price or push it away. You might wonder how two opposing behaviors can both be useful. The key is to remain directionally neutral and develop your own set of rules to identify when price is more likely to react by being drawn toward these areas or rejected from them. I have my own rules for this, and you can develop a framework that fits your own trading style as well.
อินดิเคเตอร์ Pine Script®
โดย Time_Pitch
Infinity XAUUSD (Gold Spot) Cycle EngineThis indicator is a time-based cycle mapping tool designed for Gold (XAUUSD and related feeds). It identifies repeating bar-count timing structures in historical price data rather than forecasting price targets. The script combines cycle timing proximity, basic directional alignment, and volatility-based runway context into a single chart overlay and summary table. It is intended to provide structured context, not trade signals or predictions. What This Script Displays 1) Cycle Map (42-Bar Structure) The script applies a fixed 42-bar repeating cycle to Gold price history. Each cycle is divided into 9 predefined timing points (P1–P9), drawn as vertical dotted lines on the chart. Past and current cycles are displayed for historical reference, with optional forward time projection for structural context only. Optional timing windows visualize bar-distance proximity to each cycle point. This component is time-based only and does not generate price targets. 2) Directional Confluence (Table-Based) A lightweight directional filter evaluates short-term alignment using a moving-average reference and smoothed momentum comparison. The output is a simple directional state: Long, Short, or Stand Aside. This module is designed as a directional filter, not a standalone signal generator. 3) Reward-to-Risk Context A volatility component uses ATR-based ranges to estimate whether price has available movement relative to recent volatility. The result is expressed as a relative quality score, not a price target or forecast. 4) Composite Setup Score The table combines the three components into a single Setup Score (0–100) using fixed weights: Directional Confluence (50%) Cycle Map Proximity (30%) Reward-to-Risk Context (20%) The score functions as a contextual alignment measure, not a trading instruction. 5) Bias & Inversion Control A single Inversion switch allows users to flip the displayed Long/Short bias in the table and optional markers. This does not alter the underlying calculations or plotted cycle structure. How to Use Apply the indicator to a Gold symbol (XAUUSD or related feeds). Use the cycle map to understand where price is within a repeating time structure, not where it “should go.” Use the table to assess whether directional alignment and volatility conditions are supportive. The indicator is designed to be used standalone. Other tools are not required for operation. Chart Setup Notes This script plots price-aligned objects and should be merged with the chart’s price scale for correct visual alignment. The script uses extended historical data to draw past cycles. Symbols or data feeds with limited historical bars may not display the full cycle structure. Symbol Scope This script is asset-specific and calibrated for Gold. A built-in symbol lock can restrict rendering to Gold symbols to prevent misapplication. Important Notes This indicator does not predict price or guarantee outcomes. Cycle points represent timing reference zones, not reversal guarantees. Always combine with independent analysis and risk management.
อินดิเคเตอร์ Pine Script®
โดย Dinjin
Chaikin Oscillator Z-Score With Divergences [MAXmks]Hello Traders, This is my take on the Chaikin Oscillator — statistically normalized into a Z-Score with built-in divergence detection. The problem with raw Chaikin The standard ChO is unbounded and extremely sensitive to volume spikes. A single anomalous bar can flatten the entire oscillator, making it hard to compare signals across time or between instruments. The fix Z-Score normalization with asinh (inverse hyperbolic sine) transformation. While standard Z-Scores assume a normal distribution, market data often features "fat tails" (extreme outliers). This transformation compresses those spikes effectively, ensuring the indicator remains responsive without getting stuck during high-volatility events. The result: a more comparable scale across instruments. What's inside: Adaptive normalization + EMA-based variance for smooth Z calculation Regular and hidden divergence detection with segment validation (fewer false signals) Gradient coloring that intensifies toward extremes Dashboard with current Z value Pre-built alerts for OB/OS entries/exits and all divergence types Note: This is a volume-based indicator. No volume = no signal. If you see "No Volume Data" in the dashboard, switch to a data source that provides volume. Works on any timeframe. Feedback welcome. For analysis purposes, not financial advice.
อินดิเคเตอร์ Pine Script®
โดย MAXmks