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Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59) This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price. • Green box when the day closes above its open • Red box when the day closes below its open • Historical days are fully drawn for easy comparison • Current day box builds dynamically as new candles form Useful for visualising daily range, market bias, and intraday structure across all timeframes.
Wskaźnik Pine Script®
od Knotty0807
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using: * **Keltner breakout** (high above upper band for long, low below lower band for short), and/or * **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign). * Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst. * Marks bursts with **K** (Keltner) and **M** (MACD) labels: * Core burst labels use one color, extension labels use a different color. * Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context). * Adds **structure-based invalidation**: * On a new **core burst**, it locks the most recent **confirmed swing** level (pivot): * Long: locks the last confirmed **swing low**. * Short: locks the last confirmed **swing high**. * After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped). * Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars: * Long pullback requires a sequence of **lower highs** and price still below the burst high. * Short pullback requires **higher lows** and price still above the burst low. * Optional background shading highlights pullback bars. * On pullback bars, plots **static TP/SL crosses** using ATR: * Anchor is the pullback bar’s high (long) or low (short). * TP/SL are ± ATR * multiple. * TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme. * Maintains a **state-machine entry + trailing stop**: * Sets a “waiting” trigger on pullback. * Enters when price breaks the trigger (high break for long, low break for short). * Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP. * Optionally draws the trailing stop as horizontal line segments. * Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Wskaźnik Pine Script®
od Flatlands1900
Advanced Rainbow EMA + SMMA SystemAdvanced Rainbow EMA + SMMA System This custom indicator overlays eight rainbow‑colored EMAs (20, 25, 30, 35, 40, 45, 50, 55) together with two Smoothed Moving Averages (SMMA 50 in white, SMMA 200 in red). Features: 🌈 Rainbow EMAs: Smooth gradient from yellow → gold → orange → dark orange → tomato → crimson → red → blue, showing short‑ to medium‑term momentum. ⚪🔴 Smoothed Moving Averages: Thick white SMMA (50) and thick red SMMA (200) for long‑term trend context. 🟩🟥 Background shading: Green when EMAs align bullish and SMMA 50 > SMMA 200, red when bearish. 📈📉 Signal arrows: “BUY” labels on Golden Cross (SMMA 50 crossing above SMMA 200), “SELL” labels on Death Cross (SMMA 50 crossing below SMMA 200). 🔔 Alerts: Built‑in TradingView alerts for Golden/Death Cross and for strong bullish/bearish EMA alignment. Use case: This tool helps traders quickly visualize short‑term momentum against long‑term smoothed trend direction. It highlights strong trending conditions, potential reversals, and crossover signals, making it suitable for swing trading, trend following, and confirmation of entries/exits.
Wskaźnik Pine Script®
od Timbuktu49
Dynamic Pivot Point [MarkitTick]Title: Dynamic Pivot Point MarkitTick Concept Unlike traditional Pivot Points, which plot static horizontal levels based on the previous period's High, Low, and Close, this script introduces a dynamic element by applying an Exponential Moving Average (EMA) to the calculated pivot levels. This approach allows the Support and Resistance zones to adapt more fluidly to recent price action, reducing the jagged steps often seen in standard multi-timeframe pivot indicators. How It Works The script operates in two distinct phases of calculation: 1. Data Extraction and Core Math: The indicator first requests the High, Low, and Close data from a user-defined timeframe (e.g., Daily, Weekly). Using this data, it calculates the standard Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3) using standard geometric formulas: Pivot = (High + Low + Close) / 3 R1 = 2 * Pivot - Low S1 = 2 * Pivot - High (Subsequent levels follow standard Floor Pivot logic). 2. Dynamic Smoothing: Instead of plotting these raw values directly, the script processes each calculated level (P, S1-S3, R1-R3) through an Exponential Moving Average (EMA). The length of this EMA is controlled by the Pivot Length input. This smoothing process filters out minor volatility and creates curved, dynamic trajectories for the pivot levels rather than static straight lines. How to Use Traders can use this tool to identify dynamic areas of interest where price may react. The White Line represents the Central Pivot. Price action relative to this line helps determine the immediate bias (above for bullish, below for bearish). Green Lines (Support 1, 2, 3) indicate potential demand zones where price may bounce during a downtrend. Red Lines (Resistance 1, 2, 3) indicate potential supply zones where price may reject during an uptrend. Because the levels are smoothed, they can also act as dynamic trend followers, similar to moving averages, but derived from pivot geometry. Settings Show Pivot Points: Toggles the visibility of the plot lines on the chart. Pivot Length: Defines the lookback period for the EMA smoothing applied to the pivot levels. A higher number results in smoother, slower-reacting lines. Timeframe: Determines the timeframe used for the underlying High/Low/Close data (e.g., selecting "D" calculates pivots based on Daily data while viewing a lower timeframe chart). Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Wskaźnik Pine Script®
od MarkitTick
Day Trading MA Crossover IndicatorDay Trading MA Crossover Indicator Overview The Day Trading MA Crossover Indicator is a simple yet effective tool designed for day traders to identify potential buy and sell opportunities based on moving average crossovers. It plots two customizable moving averages on your chart and generates clear visual signals when they cross, helping you spot trend reversals or continuations in fast-paced markets.This indicator is ideal for intraday trading on lower timeframes (e.g., 5-min, 15-min charts) but can be adapted for swing trading or higher timeframes. It's built with flexibility in mind, allowing you to tweak the MA lengths and types to suit your strategy.Key FeaturesMoving Average Crossovers: Generates "BUY" signals when the fast MA crosses above the slow MA (potential bullish entry) and "SELL" signals when it crosses below (potential bearish entry or exit). Visual Signals: Green "BUY" labels below bars for long entries and red "SELL" labels above bars for short entries or exits. Optional subtle background coloring highlights signals for quick spotting. Customizable Parameters:Fast MA Length (default: 9): Period for the shorter moving average. Slow MA Length (default: 21): Period for the longer moving average. MA Type (default: EMA): Choose between SMA (Simple), EMA (Exponential), or WMA (Weighted) for different smoothing behaviors. Overlay Mode: Plots directly on your price chart without cluttering separate panes. Lightweight and Efficient: Minimal computation for real-time performance on TradingView. How It WorksMoving Averages Calculation: The indicator computes two MAs based on your selected type and lengths using closing prices. Signal Detection: A buy signal triggers on an upward crossover (fast MA > slow MA), indicating potential momentum shift to the upside. A sell signal triggers on a downward crossunder (fast MA < slow MA), signaling possible downside momentum. Visual Aids: Signals appear as labeled shapes with optional background tints to emphasize key bars. Usage TipsFor Day Trading: Apply on volatile instruments like forex pairs, stocks, or crypto. Combine with support/resistance levels or other indicators (e.g., RSI for overbought/oversold confirmation) to filter false signals in ranging markets. Backtesting: Test on historical data to optimize MA lengths for your asset—shorter periods for aggressive trading, longer for smoother trends. Risk Management: Always use stop-losses and position sizing. Signals are not foolproof and work best in trending conditions. Customization: Adjust inputs via the indicator settings panel after adding it to your chart. Example SetupOn a 5-min EUR/USD chart: Use EMA (9/21) for quick crossovers. Look for buy signals above key support with increasing volume. Avoid choppy markets where frequent false crossovers ("whipsaws") can occur. This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves risk; consult a professional advisor before using any strategy. If you have feedback or suggestions for improvements, feel free to comment!
Wskaźnik Pine Script®
od crocodileuser21
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI A comprehensive trend-following system with customizable filters for precise trade execution. CORE COMPONENTS: - SuperTrend with visual fill (trend detection) - ADX + Directional Indicators (trend strength confirmation) - Volume filter (optional) - EMAs 7/21/50 (optional) - Daily VWAP (optional) - Previous Day High/Low levels (support/resistance) KEY FEATURES: ✓ One entry per trend - avoids overtrading ✓ Entry: ADX crosses above threshold with SuperTrend alignment ✓ Exit: SuperTrend direction change ✓ Real-time status dashboard showing all filter conditions ✓ Clear BUY/SELL signals with EXIT markers ✓ All filters can be toggled ON/OFF for testing ✓ Customizable parameters for each indicator DASHBOARD DISPLAY: - Live ADX value (green >23 / red <23) - DI+/DI- values with color coding - Volume metrics - Position status (IN/OUT) - Signal status (BUY/SELL/WAIT) IDEAL FOR: Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation. Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
Wskaźnik Pine Script®
od acgcapital
USDT Market Cap Change [Alpha Extract]A sophisticated stablecoin market analysis tool that tracks USDT market capitalization changes across daily and 60-day periods with statistical normalization and gradient intensity visualization. Utilizing z-score methodology for overbought/oversold detection and dynamic color gradients reflecting change magnitude, this indicator delivers institutional-grade market liquidity assessment through stablecoin flow analysis. The system's dual-timeframe approach combined with statistical normalization provides comprehensive market sentiment measurement based on capital inflows and outflows from the dominant stablecoin. 🔶 Advanced Market Cap Tracking Framework Implements daily USDT market capitalization monitoring with dual-period change calculations measuring both 1-day and 60-day net capital flows. The system retrieves real-time CRYPTOCAP:USDT data on daily timeframe resolution, calculating absolute dollar changes to quantify stablecoin supply expansion or contraction as primary market liquidity indicator. // Core Market Cap Analysis USDT = request.security("CRYPTOCAP:USDT", "D", close) USDT_60D_Change = USDT - USDT USDT_1D_Change = USDT - USDT 🔶 Dynamic Gradient Intensity System Features sophisticated color gradient engine that intensifies visual representation based on change magnitude relative to recent extremes. The system normalizes current 60-day change against configurable lookback period maximum, applying gradient strength calculation to transition colors from neutral tones through progressively intense blues (negative) or reds (positive) based on flow direction and magnitude. 🔶 Statistical Z-Score Normalization Engine Implements comprehensive z-score calculation framework that normalizes 60-day market cap changes using rolling mean and standard deviation for objective overbought/oversold determination. The system applies statistical normalization over configurable periods, enabling cross-temporal comparison and threshold-based regime identification independent of absolute market cap levels. // Z-Score Normalization Change_Mean = ta.sma(USDT_60D_Change, Normalization_Length) Change_StdDev = ta.stdev(USDT_60D_Change, Normalization_Length) Z_Score = Change_StdDev > 0 ? (USDT_60D_Change - Change_Mean) / Change_StdDev : 0.0 🔶 Multi-Tier Threshold Detection System Provides four-level regime classification including standard overbought (+1.5σ), standard oversold (-1.5σ), extreme overbought (+2.5σ), and extreme oversold (-2.5σ) thresholds with configurable adjustment. The system identifies market liquidity extremes when stablecoin inflows or outflows reach statistically significant levels, indicating potential market turning points or trend exhaustion. 🔶 Dual-Timeframe Flow Visualization Features layered area plots displaying both 60-day strategic flows and 1-day tactical movements with distinct color coding for instant flow direction assessment. The system overlays short-term daily changes on longer-term 60-day trends, enabling traders to identify divergences between tactical and strategic capital flows into or out of stablecoin reserves. 🔶 Gradient Color Psychology Framework Implements intuitive color scheme where red gradients indicate capital inflow (bullish for crypto as USDT supply expands for buying) and blue gradients show capital outflow (bearish as USDT is redeemed). The intensity progression from pale to vivid colors communicates flow magnitude, with extreme colors signaling statistically significant liquidity events requiring attention. 🔶 Background Zone Highlighting System Provides subtle background coloring when z-score breaches overbought or oversold thresholds, creating visual alerts without obscuring primary data. The system applies translucent red backgrounds during overbought conditions and blue during oversold states, enabling instant regime recognition across chart timeframes. 🔶 Configurable Normalization Architecture Features adjustable gradient lookback and statistical normalization periods enabling optimization across different market cycles and trading timeframes. The system allows traders to calibrate sensitivity by modifying the window used for maximum change detection (gradient) and mean/standard deviation calculation (z-score), adapting to volatile or stable market regimes. 🔶 Market Liquidity Interpretation Framework Tracks USDT supply changes as proxy for overall cryptocurrency market liquidity conditions, where expanding market cap indicates fresh capital entering crypto markets and contracting cap suggests capital flight. The system provides leading indicator properties as large stablecoin inflows often precede major market rallies while outflows may signal distribution phases. 🔶 Why Choose USDT Market Cap Change ? This indicator delivers sophisticated stablecoin flow analysis through statistical normalization and gradient visualization of USDT market capitalization changes. Unlike traditional market sentiment indicators that rely on price action alone, this tool measures actual capital flows through the dominant stablecoin, providing objective assessment of market liquidity conditions. The combination of dual-timeframe tracking, z-score normalization for overbought/oversold detection, and intensity-based gradient coloring makes it essential for traders seeking macro-level market assessment and regime change detection across cryptocurrency markets. The indicator excels at identifying liquidity extremes that often precede major market reversals or trend accelerations.
Wskaźnik Pine Script®
od AlphaExtract
NQ Key Levels [EOY 2025]Key Price Levels to Watch | Level | Type | Significance | |---|---|---| | 26,000 | Psychological Target | The "round number" magnet for the End of Year (EOY) close. | | 25,835 | Major Resistance | The recent high from Dec 10. A break above this signals the Santa Rally is live. | | 25,196 | Current Price | Friday's close. We are in "no man's land" here. | | 25,000 | Critical Support | A psychological floor. If NQ breaks below this next week, the bullish thesis weakens. | | 24,800 | Trend Defense | The "line in the sand." Bulls must defend this level to keep the uptrend intact. | Projected Path for NQ (Dec 15 – Dec 31, 2025) Dec 15–17 (Mon-Wed): Market tests support at 25,000. If it holds, buyers will step in. Dec 18–19 (Thu-Fri): Erratic price action due to Triple Witching expiry. Avoid heavy leverage here. Dec 22–31: Volume drops, but directional bias turns UP. The path of least resistance will be higher as sellers leave for the holidays.
Wskaźnik Pine Script®
od panchamsh95353
EMA COLOR CHANCE indicator("Renk Değiştiren EMA & Mum Al-Sat", overlay=true) emaLength = input.int(50, "EMA Periyodu", minval=1) emaValue = ta.ema(close, emaLength) trendUp = close > emaValue trendDown = close < emaValue plot(emaValue, title="EMA", color = (trendUp ? color.lime : color.red), linewidth=2) barcolor(trendUp ? color.lime : color.red) buySignal = ta.crossover(close, emaValue) sellSignal = ta.crossunder(close, emaValue) plotshape(buySignal, title="BuySignal", location=location.belowbar, style=shape.triangleup, size=size.large, color=color.lime) plotshape(sellSignal, title="SellSignal", location=location.abovebar, style=shape.triangledown, size=size.large, color=color.red) alertcondition(buySignal, title="AL Sinyali", message="AL sinyali - fiyat EMA'yı yukarı kesti") alertcondition(sellSignal, title="SAT Sinyali", message="SAT sinyali - fiyat EMA'yı aşağı kesti")
Wskaźnik Pine Script®
od ARMAGAN007
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy. This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages. 1. Trend direction (EMA 200 – pink) The 200 EMA acts as the long-term trend filter. Price above the 200 EMA suggests a bullish market bias. Price below the 200 EMA suggests a bearish market bias. Many traders avoid taking trades against this higher-timeframe direction. 2. Momentum and trade bias (EMA 20 – blue) The 20 EMA reflects short-term momentum. When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries. In downtrends, the 20 EMA frequently acts as dynamic resistance. 3. Entry timing (EMA 8 – yellow) The 8 EMA is a fast reaction line used for precise timing. Crosses of the 8 EMA over the 20 EMA can signal momentum shifts. Strong trends often show price holding above (or below) the 8 EMA during impulse moves. 4. Confluence and trade filtering The indicator works best when the EMAs are aligned: Bullish alignment: EMA 8 > EMA 20 > EMA 200 Bearish alignment: EMA 8 < EMA 20 < EMA 200 Misaligned EMAs usually indicate consolidation or low-probability conditions. 5. Risk management context EMAs can act as dynamic support and resistance: Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon. Loss of EMA structure is a warning sign that the trend may be weakening. In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Wskaźnik Pine Script®
od Knotty0807
Candle Microstructure ClassifierCandle Microstructure Classifier Public Description The Candle Microstructure Classifier is a visual study designed to highlight meaningful single-candle behaviors based purely on price geometry. It classifies candles according to body size and wick structure, helping traders visually identify moments of aggression, commitment, failed pushes, and rejection directly on the price chart. This script is a study only. It does not generate trade signals, entries, exits, or forecasts. Its purpose is to provide structural context that can be combined with other tools such as trend, volume, or volatility analysis. Quantitative Description Each candle is decomposed into its geometric components relative to its total range (high − low). All classifications are based on normalized fractions to remain scale‑independent across instruments and timeframes. Definitions: 1. Candle Range (R): R = High − Low 2. Body Size (B): B = |Close − Open| Body Fraction = B / R 3. Upper Wick (UW): UW = High − max(Open, Close) Upper Wick Fraction = UW / R 4. Lower Wick (LW): LW = min(Open, Close) − Low Lower Wick Fraction = LW / R Candle Classifications: • Commitment Candle: Body Fraction ≥ Large Body Threshold Upper Wick Fraction ≤ Tiny Wick Threshold Lower Wick Fraction ≤ Tiny Wick Threshold Interpretation: Strong directional acceptance with minimal intrabar rejection. • Marubozu (Aggression): Body Fraction ≥ Large Body Threshold One wick effectively absent (near zero) Interpretation: Pure directional aggression with no meaningful counter‑pressure. • Trend Attempt Failure: Body Fraction ≥ Large Body Threshold One wick large, opposite wick small Interpretation: Strong push followed by immediate rejection on one side. • Rejection Candle: Body Fraction ≤ Small Body Threshold Upper Wick Fraction ≥ Large Wick Threshold Lower Wick Fraction ≥ Large Wick Threshold Interpretation: Two‑sided rejection indicating price discovery or balance. • Pin Rejection (optional): Body Fraction ≤ Small Body Threshold Only one wick large Interpretation: One‑sided rejection often occurring near support or resistance. Notes and Context This classifier intentionally avoids pattern names tied to prediction. Each classification describes observed auction behavior inside a single bar, not an expectation of future movement. Sources and Further Reading Candle structure and wick interpretation: • Investopedia – Candlestick Patterns and Anatomy www.investopedia.com Volume and volatility context examples: • Wyckoff Method – Effort vs Result (Volume + Price Structure) school.stockcharts.com • CME Group – Using Volume and Volatility Together www.cmegroup.com Example Applications: 1. A commitment candle occurring simultaneously with a volume spike may indicate institutional participation and acceptance at that price level. 2. A rejection candle forming during elevated volatility (ATR expansion) may signal failed price discovery and potential mean reversion zones.
Wskaźnik Pine Script®
od AJSwogger