Mulakan

M-oscillator

Order/Breaker Blocks + RSIThis indicator visualizes bullish and bearish order/breaker blocks on the chart and provides entry signals for long and short trades based on RSI and price position relative to the blocks. It features candle highlighting: white when RSI > 70, yellow when RSI < 30 (can be enabled/disabled in the settings). The indicator helps you spot key supply/demand zones and market polarity shifts. Automatic detection and display of order/breaker blocks. Long/short signals based on RSI and block position. Flexible settings for block display and candle highlighting. Historical polarity change markers. Useful for visual analysis and finding entry/exit points using the Order Block + RSI strategy. Индикатор отображает бычьи и медвежьи блоки (Order/Breaker Blocks) на графике, а также сигнальные стрелки для входа в лонг и шорт на основе RSI и положения цены относительно блоков. Встроена функция подсветки свечей: белый цвет при RSI > 70, жёлтый — при RSI < 30 (можно включить/отключить в настройках). Индикатор помогает визуализировать ключевые зоны спроса/предложения и моменты смены рыночной динамики. Автоматическое определение и отображение блоков. Сигналы для лонга и шорта с учётом RSI. Гибкая настройка отображения блоков и подсветки свечей. Поддержка исторических меток смены полярности. Подходит для визуального анализа и поиска точек входа/выхода по стратегии Order Block + RSI.
Penunjuk Pine Script®
oleh aur-ora
Becak I-series: Indicator Floating Panels v.80Becak I-series: Floating Panels v.80th (Indonesia Independence Days) What it does: This indicator creates three floating overlay panels that display MACD, RSI, and Stochastic oscillators directly on your price chart. Unlike traditional separate panes, these panels hover over your chart with customizable positioning and transparency, providing a clean, space-efficient way to monitor multiple technical indicators simultaneously. When to use: When you need to monitor momentum, trend strength, and overbought/oversold conditions without cluttering your workspace Perfect for traders who want quick visual access to multiple oscillators while maintaining focus on price action Ideal for any timeframe and asset class (stocks, crypto, forex, commodities) How it works: The script calculates standard MACD (12,26,9), RSI (14), and Stochastic (14,3,3) values, then renders them as floating panels with: MACD Panel: Shows MACD line (blue), Signal line (orange), and histogram (green/red bars) RSI Panel: Displays RSI line (purple) with overbought (70) and oversold (30) reference levels Stochastic Panel: Shows %K (blue) and %D (orange) lines with optional buy/sell signals and highlighted overbought/oversold zones Customization options: Position: Choose Top, Bottom, or Auto-Center placement Size: Adjust panel height (15-35% of chart) and spacing between panels Positioning: Fine-tune vertical center offset and horizontal positioning Appearance: Toggle panel backgrounds and adjust transparency (50-95%) Parameters: Modify all indicator lengths and overbought/oversold levels Signals: Enable/disable Stochastic crossover signals Display: Control lookback period (30-100 bars) and right margin spacing Universal compatibility: Works seamlessly across all asset types with automatic range detection and scaling. DIRGAHAYU HARI KEMERDEKAAN KE 80 - INDONESIA ... MERDEKA!!!!!
Penunjuk Pine Script®
oleh kromut76
5
Currency Strength v3.0Currency Strength v3.0 Summary The Currency Strength indicator is a powerful tool designed to gauge the relative strength of major and emerging market currencies. By plotting the True Strength Index (TSI) of various currency indices, it provides a clear visual representation of which currencies are gaining momentum and which are losing it. This indicator automatically detects the currency pair on your chart and highlights the corresponding strength lines, simplifying analysis and helping you quickly identify potential trading opportunities based on currency dynamics. Key Features Comprehensive Currency Analysis: Tracks the strength of 19 currencies, including major pairs and several emerging market currencies. Automatic Pair Detection: Intelligently identifies the base and quote currency of the active chart, automatically highlighting the relevant strength lines. Dynamic Coloring: The base currency is consistently colored blue, and the quote currency is colored gold, making it easy to distinguish between the two at a glance. Non-Repainting TSI Calculation: Uses the True Strength Index (TSI) for smooth and reliable momentum readings that do not repaint. Customizable Settings: Allows for adjustment of the fast and slow periods for the TSI calculation to fit your specific trading style. Clean Interface: Features a minimalist legend table that only displays the currencies relevant to your current chart, keeping your workspace uncluttered. How It Works The indicator pulls data from major currency indices (like DXY for the US Dollar and EXY for the Euro). For currencies that don't have a dedicated index, it uses their USD pair (e.g., USDCNY) and inverts the calculation to derive the currency's strength relative to the dollar. It then applies the True Strength Index (TSI) to this data. The TSI is a momentum oscillator that is less volatile than other oscillators, providing a more reliable measure of strength. The resulting values are plotted on the chart, allowing you to see how different currencies are performing against each other in real-time. How to Use Trend Confirmation: When the base currency's line is rising and above the zero line, and the quote currency's line is falling, it can confirm a bullish trend for the pair. The opposite would suggest a bearish trend. Identifying Divergences: Look for divergences between the currency strength lines and the price action of the pair. For example, if the price is making higher highs but the base currency's strength is making lower highs, it could signal a potential reversal. Crossovers: A crossover of the base and quote currency lines can signal a shift in momentum. A bullish signal occurs when the base currency line crosses above the quote currency line. A bearish signal occurs when it crosses below. Overbought/Oversold Levels: The horizontal dashed lines at 0.5 and -0.5 can be used as general guides for overbought and oversold conditions, respectively. Strength moving beyond these levels may indicate an unsustainable move that is due for a correction. Settings Fast Period: The short-term period for the TSI calculation. Default is 7. Slow Period: The long-term period for the TSI calculation. Default is 15. Index Source: The price source used for the calculations (e.g., Close, Open). Default is Close. Base Currency Color: The color for the base currency line. Default is Royal Blue. Quote Currency Color: The color for the quote currency line. Default is Goldenrod. Disclaimer This indicator is intended for educational and analytical purposes only. It is not financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own research and risk management before making any trading decisions.
Penunjuk Pine Script®
oleh DOSALGO
8
SatoshiMultiFrame RSI SatoshiMultiFrame 📈 SatoshiMultiFrame is an advanced, multi-timeframe version of the RSI indicator, designed to look and feel like the built-in TradingView RSI — but with more customization options and professional visual enhancements. 🎯 Features Multi-Timeframe (MTF) Support – choose any timeframe for RSI calculation. Customizable RSI Line – change color, thickness, and style (Solid / Dashed / Dotted). Editable 30 / 50 / 70 Bands – fully customizable in the Style tab. Smooth Gradient Fill for OB/OS Zones: 🟢 Green shading above Overbought (70) 🔴 Red shading below Oversold (30) Customizable background for the entire panel. No repainting – stable and reliable data. ⚙️ Inputs RSI Length – default 14. Source – select the price source (Close, Open, etc.). RSI Timeframe – pick a higher or lower timeframe. RSI Line Style – choose between Solid / Dashed / Dotted. Dash Period & Dash Length – adjust the look of dashed lines. 🎨 Style Tab : Change RSI line color, thickness, and optional MA line. Edit colors and styles of 30 / 50 / 70 bands. Enable/disable and recolor OB/OS gradient fills. Adjust background color and transparency. 📌 How to Use : Add the indicator to your chart. In Inputs, set your preferred timeframe, RSI length, and line style. In Style, adjust colors, thickness, and gradient effects to your preference. Use the 50 line as a trend reference and monitor RSI behavior in OB/OS zones. ⚠️ Disclaimer: This tool is for educational purposes only and should not be considered financial advice. Always practice proper risk management.
Penunjuk Pine Script®
oleh SatoshiMultiframe
Correlation Heatmap Matrix [TradingFinder] 20 Assets Variable🔵 Introduction Correlation is one of the most important statistical and analytical metrics in financial markets, data mining, and data science. It measures the strength and direction of the relationship between two variables. The correlation coefficient always ranges between +1 and -1 : a perfect positive correlation (+1) means that two assets or currency pairs move together in the same direction and at a constant ratio, a correlation of zero (0) indicates no clear linear relationship, and a perfect negative correlation (-1) means they move in exactly opposite directions. While the Pearson Correlation Coefficient is the most common method for calculation, other statistical methods like Spearman and Kendall are also used depending on the context. In financial market analysis, correlation is a key tool for Forex, the Stock Market, and the Cryptocurrency Market because it allows traders to assess the price relationship between currency pairs, stocks, or coins. For example, in Forex, EUR/USD and GBP/USD often have a high positive correlation; in stocks, companies from the same sector such as Apple and Microsoft tend to move similarly; and in crypto, most altcoins show a strong positive correlation with Bitcoin. Using a Correlation Heatmap in these markets visually displays the strength and direction of these relationships, helping traders make more accurate decisions for risk management and strategy optimization. 🟣 Correlation in Financial Markets In finance, correlation refers to measuring how closely two assets move together over time. These assets can be stocks, currency pairs, commodities, indices, or cryptocurrencies. The main goal of correlation analysis in trading is to understand these movement patterns and use them for risk management, trend forecasting, and developing trading strategies. 🟣 Correlation Heatmap A correlation heatmap is a visual tool that presents the correlation between multiple assets in a color-coded table. Each cell shows the correlation coefficient between two assets, with colors indicating its strength and direction. Warm colors (such as red or orange) represent strong negative correlation, cool colors (such as blue or cyan) represent strong positive correlation, and mid-range tones (such as yellow or green) indicate correlations that are close to neutral. 🟣 Practical Applications in Markets Forex : Identify currency pairs that move together or in opposite directions, avoid overexposure to similar trades, and spot unusual divergences. Crypto : Examine the dependency of altcoins on Bitcoin and find independent movers for portfolio diversification. Stocks : Detect relationships between stocks in the same industry or find outliers that move differently from their sector. 🟣 Key Uses of Correlation in Trading Risk management and diversification: Select assets with low or negative correlation to reduce portfolio volatility. Avoiding overexposure: Prevent opening multiple positions on highly correlated assets. Pairs trading: Exploit temporary deviations between historically correlated assets for arbitrage opportunities. Intermarket analysis: Study the relationships between different markets like stocks, currencies, commodities, and bonds. Divergence detection: Spot when two typically correlated assets move apart as a possible trend change signal. Market forecasting: Use correlated asset movements to anticipate others’ behavior. Event reaction analysis: Evaluate how groups of assets respond to economic or political events. ❗ Important Note It’s important to note that correlation does not imply causation — it only reflects co-movement between assets. Correlation is also dynamic and can change over time, which is why analyzing it across multiple timeframes provides a more accurate picture. Combining correlation heatmaps with other analytical tools can significantly improve the precision of trading decisions. 🔵 How to Use The Correlation Heatmap Matrix indicator is designed to analyze and manage the relationships between multiple assets at once. After adding the tool to your chart, start by selecting the assets you want to compare (up to 20). Then, choose the Correlation Period that fits your trading strategy. Shorter periods (e.g., 20 bars) are more sensitive to recent price movements, making them suitable for short-term trading, while longer periods (e.g., 100 or 200 bars) provide a broader view of correlation trends over time. The indicator outputs a color-coded matrix where each cell represents the correlation between two assets. Warm colors like red and orange signal strong negative correlation, while cool colors like blue and cyan indicate strong positive correlation. Mid-range tones such as yellow or green suggest correlations that are close to neutral. This visual representation makes it easy to spot market patterns at a glance. One of the most valuable uses of this tool is in portfolio risk management. Portfolios with highly correlated assets are more vulnerable to market swings. By using the heatmap, traders can find assets with low or negative correlation to reduce overall risk. Another key benefit is preventing overexposure. For example, if EUR/USD and GBP/USD have a high positive correlation, opening trades on both is almost like doubling the position size on one asset, increasing risk unnecessarily. The heatmap makes such relationships clear, helping you avoid them. The indicator is also useful for pairs trading, where a trader identifies assets that are usually correlated but have temporarily diverged — a potential arbitrage or mean-reversion opportunity. Additionally, the tool supports intermarket analysis, allowing traders to see how movements in one market (e.g., crude oil) may impact others (e.g., the Canadian dollar). Divergence detection is another advantage: if two typically aligned assets suddenly move in opposite directions, it could signal a major trend shift or a news-driven move. Overall, the Correlation Heatmap Matrix is not just an analytical indicator but also a fast, visual alert system for monitoring multiple markets at once. This is particularly valuable for traders in fast-moving environments like Forex and crypto. 🔵 Settings 🟣 Logic Correlation Period : Number of bars used to calculate correlation between assets. 🟣 Display Table on Chart : Enable/disable displaying the heatmap directly on the chart. Table Size : Choose the table size (from very small to very large). Table Position : Set the table location on the chart (top, middle, or bottom in various alignments). 🟣 Symbol Custom Select Market : Choose the market type (Forex, Stocks, Crypto, or Custom). Symbol 1 to Symbol 20: In custom mode, you can define up to 20 assets for correlation calculation. 🔵 Conclusion The Correlation Heatmap Matrix is a powerful tool for analyzing correlations across multiple assets in Forex, crypto, and stock markets. By displaying a color-coded table, it visually conveys both the strength and direction of correlations — warm colors for strong negative correlation, cool colors for strong positive correlation, and mid-range tones such as yellow or green for near-zero or neutral correlation. This helps traders select assets with low or negative correlation for diversification, avoid overexposure to similar trades, identify arbitrage and pairs trading opportunities, and detect unusual divergences between typically aligned assets. With support for custom mode and up to 20 symbols, it offers high flexibility for different trading strategies, making it a valuable complement to technical analysis and risk management.
Penunjuk Pine Script®
oleh TFlab
4
BB next+2This indicator extends the standard Bollinger Bands by allowing you to project future Bollinger Bands based on assumed closing prices for the next trading day (+1) and the day after (+2). Key Features: Plots standard Bollinger Bands (supports SMA, EMA, etc.) Allows manual input of assumed closing prices for the next trading day (+1) and the day after (+2) Displays projected Bollinger Bands (basis, upper, and lower) based on the input values Option to restrict display to the latest bar or confirmed bars only
Penunjuk Pine Script®
oleh Komc
5 Min Scalping Oscillator### Overview The 5 Min Scalping Oscillator is a custom oscillator designed to provide traders with a unified momentum signal by fusing normalized versions of the Relative Strength Index (RSI), Stochastic RSI, and Commodity Channel Index (CCI). This combination creates a more balanced view of market momentum, overbought/oversold conditions, and potential reversals, while incorporating adaptive smoothing, dynamic thresholds, and market condition filters to reduce noise and false signals. Unlike standalone oscillators, the 5 Min Scalping Oscillator adapts to trending or sideways regimes, volatility levels, and higher timeframe biases, making it particularly suited for short-term charts like 5-minute timeframes where quick, filtered signals are valuable. ### Purpose and Originality of the Fusion Traditional oscillators like RSI measure momentum but can lag in volatile markets; Stochastic RSI adds sensitivity to RSI extremes but often generates excessive noise; and CCI identifies cyclical deviations but may overreact to minor price swings. The 5 Min Scalping Oscillator addresses these limitations by weighting and blending their normalized outputs (RSI at 45%, Stochastic RSI at 35%, and CCI at 20%) into a single raw oscillator value. This weighted fusion creates a hybrid signal that balances lag reduction with noise filtering, resulting in a more robust indicator for identifying reversal opportunities. The originality lies in extending this fusion with: - **Adaptive Smoothing via KAMA (Kaufman's Adaptive Moving Average):** Adjusts responsiveness based on market efficiency, speeding up in trends and slowing in ranges—unlike fixed EMAs, this helps preserve signal integrity without over-smoothing. - **Dynamic Overbought/Oversold Thresholds:** Calculated using rolling percentiles over a user-defined lookback (default 200+ periods), these levels adapt to recent oscillator behavior rather than relying on static values like 70/30, making the indicator more responsive to asset-specific volatility. - **Multi-Factor Filters:** Integrates ADX for trend detection, ATR percentiles for volatility confirmation, and optional higher timeframe RSI bias to ensure signals align with broader market context. This layered approach reduces false positives (e.g., ignoring low-volatility crossovers) and adds a confidence score based on filter alignment, which is not typically found in simple mashups. This design justifies the combination: it's not a mere overlay of indicators but a purposeful integration that enhances usefulness by providing context-aware signals, helping traders avoid common pitfalls like trading against the trend or in low-volatility chop. The result is an original tool that performs better in diverse conditions, especially on 5-minute charts for intraday trading, where rapid adaptations are key. ### How It Works The 5 Min Scalping Oscillator processes price data through these steps: 1. **Normalization and Fusion:** - RSI (default length 10) is normalized to a -1 to +1 scale using a tanh transformation for bounded output. - Stochastic RSI (default length 14) is derived from RSI highs/lows and scaled similarly. - CCI (default length 14) is tanh-normalized to align with the others. - These are weighted and summed into a raw value, emphasizing RSI for core momentum while using Stochastic RSI for edge sensitivity and CCI for cycle detection. 2. **Smoothing and Signal Line:** - The raw value is smoothed (default KAMA with fast/slow periods 2/30 and efficiency length 10) to reduce whipsaws. - A shorter signal line (half the smoothing length) is added for crossover detections. 3. **Filters and Enhancements:** - **Trend Regime:** ADX (default length 14, threshold 20) classifies markets as trending (ADX > threshold) or sideways, allowing signals in both but prioritizing alignment. - **Volatility Check:** ATR (default length 14) percentile (default 85%) ensures signals only trigger in above-average volatility, filtering out flat markets. - **Higher Timeframe Bias:** Optional RSI (default length 14 on 60-minute timeframe) provides bull/neutral/bear bias (above 55, 45-55, below 45), requiring signal alignment (e.g., bullish signals only if bias is neutral or bull). - **Dynamic Levels:** Percentiles (default OB 85%, OS 15%) over recent oscillator values set adaptive overbought/oversold lines. 4. **Signal Generation:** - Bullish (B) signals on upward crossovers of the smoothed line over the signal line, filtered by conditions. - Bearish (S) signals on downward crossunders. - Each signal includes a confidence score (0-100) based on factors like trend alignment (25 points), volatility (15 points), and bias (20 points if strong, 10 if neutral). The output includes a glowing oscillator line, histogram for divergence spotting, dynamic levels, shapes/labels for signals, and a dashboard table summarizing regime, ADX, bias, levels, and last signal. ### How to Use It This indicator is easy to apply and interpret, even for beginners: - **Adding to Chart:** Apply the 5 Min Scalping Oscillator to a clean chart (no other indicators unless explained). It's non-overlay, so it appears in a separate pane. For 5-minute timeframes, keep defaults or tweak lengths shorter for faster response (e.g., RSI 8-12). - **Interpreting Signals:** - Look for green upward triangles labeled "B" (bullish) at the bottom for potential entry opportunities in uptrends or reversals. - Red downward triangles labeled "S" (bearish) at the top signal potential exits or shorts. - Higher confidence scores (e.g., 70+) indicate stronger alignment—use these for priority trades. - Watch the histogram for divergences (e.g., price higher highs but histogram lower highs suggest weakening momentum). - Dynamic OB (green line) and OS (red line) help gauge extremes; signals near these are more reliable. - **Dashboard:** At the bottom-right, it shows real-time info like "Trending" or "Sideways" regime, ADX value, HTF bias (Bull/Neutral/Bear), OB/OS levels, and last signal—use this for quick context. - **Customization:** Adjust inputs via the settings panel: - Toggle KAMA for adaptive vs. EMA smoothing. - Set HTF to "60" for 1-hour bias on 5-min charts. - Increase ADX threshold to 25 for stricter trend filtering. - **Best Practices:** Combine with price action (e.g., support/resistance) or volume for confirmation. On 5-min charts, pair with a 1-hour HTF for intraday scalping. Always use stop-losses and risk no more than 1-2% per trade. ### Default Settings Explanation Defaults are optimized for 5-minute charts on volatile assets like stocks or forex: - RSI/Stoch/CCI lengths (10/14/14): Shorter for quick momentum capture. - Signal smoothing (5): Responsive without excessive lag. - ADX threshold (20): Balances trend detection. - ATR percentile (0.85): Filters ~15% of low-vol signals. - HTF RSI (14 on 60-min): Aligns with hourly trends. - Percentiles (OB 85%, OS 15%): Adaptive to recent data. If changing, test on historical data to ensure fit—e.g., longer lengths for less noisy assets. ### Disclaimer The 5 Min Scalping Oscillator is an educational tool to visualize momentum and does not guarantee profits or predict future performance. All signals are based on historical calculations and should not be used as standalone trading advice. Past results are not indicative of future outcomes. Traders must conduct their own analysis, use proper risk management, and consider market conditions. No claims are made about accuracy, reliability, or performance.
Penunjuk Pine Script®
oleh Trading_Indicator_Pro
1
Momentum Phases📌 Overview The Momentum Phases indicator helps traders quickly identify periods of strong bullish or bearish momentum based on the relationship between a short‑term and a long‑term Moving Average (SMA). It helps traders visually distinguish between Positive 🟢 , Negative 🔴 , and Neutral ⚪ phases by plotting a dynamically colored state line and generating optional alerts when a phase change occurs. 🧠 How It Works ⦿ SMA Calculation The indicator calculates two SMAs: Short SMA (default: 7 periods) Long SMA (default: 65 periods) Both SMA lengths can be adjusted by the user. // SMA calculations smaShort = ta.sma(close, shortLen) smaLong = ta.sma(close, longLen) ⦿ Momentum Ratio A ratio is calculated: ratio = smaShort / smaLong This ratio measures how far the short‑term trend has diverged from the long‑term trend. ⦿ Threshold Levels Positive Threshold (default: 1.05) — indicates short SMA is at least 5% above the long SMA. Negative Threshold (default: 0.95) — indicates short SMA is at least 5% below the long SMA. These thresholds are user‑adjustable. ⦿ Momentum States Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) → Short SMA is at least 5% above Long SMA. Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) → Short SMA is at least 5% below Long SMA. Neutral: Ratio between the two thresholds. ⦿ State Line Plot The indicator plots a flat state line at 1.0 when in positive or negative momentum, and 0.0 when in neutral. The state line’s color changes dynamically: Green 🟢 Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) – Short SMA is at least 5% above Long SMA. Red 🔴 Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) – Short SMA is at least 5% below Long SMA. Gray ⚪ Neutral: Ratio between the two thresholds. 📈 How to Use Trend Confirmation: Use the state line color to quickly confirm the prevailing momentum. Green 🟢: Consider focusing on long setups Red 🔴: Consider focusing on short setups Gray ⚪: Consider staying neutral or waiting for stronger signals Trade Filtering: Filter trades in your existing strategy so they only align with the detected momentum phase. Early Warnings: Enable phase change alerts to get notified when market conditions shift. ⚙️ Customization SMA Periods: Adjust short and long SMA lengths to suit your trading timeframe. Thresholds: Tighten (closer to 1.00) for more frequent signals, or widen for fewer but stronger signals. 🔔 Alerts 🟢 Positive Momentum START – Stock/Security shifts into positive momentum. ⚪ Positive Momentum END – Positive momentum ends (neutral state). 🔴 Negative Momentum START – Market shifts into negative momentum. ⚪ Negative Momentum END – Negative momentum ends (neutral state). Momentum Phase Change – Any shift between Positive, Negative, or Neutral. 🎯 Add this indicator to your chart to track momentum phases like a pro — know exactly when trends start, end, or stall.
Penunjuk Pine Script®
oleh Byte2Bull
MistaB SMC Navigation ToolkitThe MistaB SMC Navigation Toolkit is a multi-functional price action and Smart Money Concepts (SMC) tool designed to help traders quickly identify key market structure shifts, order blocks, fair value gaps (FVGs), premium/discount zones, and higher timeframe (HTF) trend alignment. This indicator integrates multiple SMC elements into one chart overlay, reducing the need for multiple scripts and improving workflow efficiency. Main Features: Automatic Order Block Detection – Identifies bullish and bearish order blocks with optional displacement and volume filters. Fair Value Gap Highlighting – Marks bullish and bearish FVG zones with optional HTF confirmation. Market Structure Shift Labels – Detects BoS and CHoCH events with fractal-based swing logic. HTF Trend Confirmation – Color-codes structure and FVGs based on higher timeframe alignment. Premium/Discount Zones – Visually divides the range for optimal trade entries. Custom Cleanup System – Automatically removes broken or filled OB/FVG zones after a user-defined delay. How to Use Apply to Your Chart Add the indicator to your preferred trading timeframe (e.g., 1H, 15M, 5M). Select your desired HTF Confirmation Timeframe in the settings. Interpreting the Chart Elements Green/Red Order Blocks: Potential demand (green) or supply (red) zones. Green/Red FVG Zones: Imbalances where price may return before continuing. Market Structure Labels: HH BoS / HL BoS → Bullish structure breaks. LH BoS / LL BoS → Bearish structure breaks. CHoCH → Change of Character (potential reversal). Premium Zone (red): Above the midline — potential selling areas in a bearish bias. Discount Zone (green): Below the midline — potential buying areas in a bullish bias. Trade Example Workflow Identify overall HTF trend (HTF label at top of chart). Wait for structure shifts (BoS/CHoCH) aligned with HTF bias. Look for OB or FVG in discount (buy) or premium (sell) zones. Manage trade risk with stop-loss below/above the zone. Disclaimer This indicator is for educational purposes only. It does not constitute financial advice and should not be relied upon for investment decisions. Trading financial markets involves significant risk, and you may lose more than your initial investment. Always do your own research, test strategies in a demo account, and consult a licensed financial advisor before trading with real capital. The creator and publisher of this script assume no responsibility for any losses incurred from its use.
Penunjuk Pine Script®
oleh Mistab1009
Approx STH Unrealized Profit [Relative %]This indicator estimates the unrealized profit or loss of short-term holders (STH) without requiring on-chain data. Instead of using actual STH Realized Price (average purchase price), it employs a 155-day Simple Moving Average (SMA) to approximate the behavior of "recent buyers." How It Works The indicator calculates the percentage deviation between the current price and the 155-day SMA using the formula: (Current Price - 155 SMA) / 155 SMA * 100%. Positive values indicate profit, while negative values show loss. Key threshold levels are set at +50% (overbought) and -30% (oversold). Trading Applications Profit > 50% - STH are experiencing significant profits, suggesting potential correction. Consider taking partial profits. 0% < Profit < 50% - Moderate profits indicate the trend may continue. Maintain positions. Profit ≈ 0% - Price is near STH's average entry point, showing market indecision. -30% < Profit < 0% - STH are at a loss, potentially signaling accumulation opportunities. Profit < -30% - Extreme oversold conditions may present buying opportunities. Limitations SMA only approximates STH behavior. May produce false signals during sideways markets. SMA lag can be noticeable in strong trending markets. Recommendation For improved accuracy, combine this indicator with trend-following tools (200 EMA, Volume analysis) and other technical indicators. It serves best as a supplementary tool for identifying overbought/oversold market conditions within your trading strategy.
Penunjuk Pine Script®
oleh ALMCorporation
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
Penunjuk Pine Script®
oleh jensenvilhelm
Parabolic Stoch SAR VisualizerParabolic Stoch SAR Visualizer — Momentum-Driven Trend Precision Tool Overview: Parabolic Stoch SAR Visualizer is a thoughtfully engineered hybrid indicator that blends momentum oscillation and trend-following mechanics into one robust system. By applying a custom Parabolic SAR calculation directly on a double-smoothed stochastic oscillator (rather than on price), it generates cleaner signals with enhanced trend detection and fewer false positives than typical Parabolic RSI or standard SAR variants. Unique Functionality: Momentum smoothing : The base stochastic %K undergoes double smoothing via consecutive simple moving averages, significantly cutting down random noise and erratic swings common in raw stochastic readings. This stabilizes momentum tracking, isolating true price strength and weakness. Custom Parabolic SAR on smoothed momentum : Traditional SAR algorithms operate on price data, acting as trailing stops. This indicator repurposes SAR to work on smoothed stochastic values, effectively converting it into a momentum-driven directional filter. This yields a more adaptive and responsive trend signal focused on genuine momentum shifts instead of price noise. Bounded SAR range and adjustable acceleration : SAR values are mathematically restricted between 0 and 100, aligning with the stochastic scale to prevent distortions. Traders can customize acceleration parameters (start, increment, max) to fine-tune trend sensitivity relative to market volatility or specific strategies. Signal clarity through filterin g: Minimum bar spacing and minimum SAR movement thresholds between plotted dots reduce chart clutter, highlighting only meaningful trend changes and filtering out insignificant fluctuations. Enhanced visuals : The oscillator line smoothly transitions its color gradient between defined uptrend and downtrend hues, intuitively signaling momentum strength. Parabolic SAR dots are offset from the oscillator line with multi-layered glow effects, making trend flips easy to spot at a glance. Trading Application: Trend identification : Momentum-based SAR dots offer precise marking of trend shifts, helping traders avoid false breakouts and premature trades. Entry and exit timing : Combining the double-smoothed stochastic oscillator and SAR dots creates a reliable framework to confirm momentum shifts and optimal trade entries or exits. Customizable for volatility regimes : Adjustable acceleration and filtering parameters allow scalpers to increase signal sensitivity, while swing traders can dial back noise for smoother trend recognition. Visual clarity for fast decisions : Gradient color coding and glowing SAR dots facilitate immediate momentum assessment without complex analysis, empowering quicker, more confident trade actions. Advantages over Parabolic RSI and similar indicators: Parabolic RSI’s direct application of SAR on RSI often results in noisy, choppy signals prone to whipsaws. This indicator’s double-smoothed stochastic foundation delivers a cleaner, steadier signal. Applying SAR to smoothed momentum rather than price transforms it into a directional filter that better captures true market strength with reduced lag. Adaptive plotting thresholds and enhanced visuals minimize clutter and ambiguity, improving trader focus and execution speed.
Penunjuk Pine Script®
oleh BOSWaves
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) . While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach: It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility . The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio. This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging. ──────────────────────────────────────────────────────────── ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ How It Works ╰────────────╯ 1. Standard Deviation Calculation ‎ ‎ ‎ ‎ ‎ • Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`). ‎ 2. Directional Separation ‎‎ ‎ ‎ ‎ • Volatility on up bars (`chg > 0`) is treated as upward volatility . ‎ ‎ ‎ ‎ ‎‎ • Volatility on down bars (`chg < 0`) is treated as downward volatility . 3. Rolling Sum ‎ ‎ ‎ ‎ ‎ • Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`. 4. Relative Volatility Mass ‎‎ ‎ ‎ ‎ • The two sums are added together to get the total volatility mass for the rolling window. Formula: RVM = Σ(σ up) + Σ(σ down) where σ is the standard deviation over `stdDevLen`. ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Key Features ╰────────────╯ Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines. Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period. Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA. Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier. Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source. ╭─────╮ ‎ ‎ ‎ ‎ ‎ ‎ Usage ╰─────╯ Trend Confirmation: High RVM values can confirm strong trending conditions. Breakout Detection: Spikes in RVM often precede or accompany price breakouts. Volatility Cycle Analysis: Compare periods of contraction and expansion. RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters. Consider normalizing or using smoothing for easier visual comparison. ╭────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Example Settings ╰────────────────╯ Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10` Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20` Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history. ╭───────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Notes & Limitations ╰───────────────────╯ Not a directional signal by itself — use alongside price structure, volume, or other indicators. Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness. Because it sums, not averages, values will scale with both volatility and chosen window size. ╭───────╮ ‎ ‎ ‎ ‎ ‎ ‎ Credits ╰───────╯ Based on the Relative Volatility Index concept by Donald Dorsey (1993). TradingView SciQua - Joshua Danford
Penunjuk Pine Script®
oleh JoshuaDanford
1
BTFD 5 Break-Out indyThe "BTFD 5 Break-Out indy" indicator uses background colors and buy/sell triangles to visually represent trading signals and position status based on its logic. Here's a brief explanation of the logic behind the green/red background and buy/sell triangles: - **Green/Red Background**: - **Green Background**: Displayed when the indicator is in a "long" position, meaning a buy signal has been triggered and the position is active. This indicates the market is in a favorable state for holding a long trade, based on conditions like an oversold breakout or strong momentum. - **Red Background**: Shown when not in a long position, either before entering a trade or after exiting due to a sell signal (e.g., trend reversal, overbought conditions, or stop-loss hit). It signals a neutral or unfavorable state for buying. - **Buy/Sell Triangles**: - **Buy Triangles (Green, Below Bar)**: Plotted when a buy signal is triggered, indicating a high-probability entry point. This occurs when the market shows signs of recovery from an oversold state (e.g., a significant upward shift in the smoothed Z-score) or strong momentum (e.g., a rapid change in the rate-of-change metric). The triangle marks the exact bar where the long position is initiated. - **Sell Triangles (Red, Above Bar)**: Plotted when an exit condition is met, signaling the close of a long position. Exits are triggered by a trend reversal (e.g., a trailing moving average turning bearish), a shift to overbought conditions, or a stop-loss breach. The triangle marks the bar where the position is closed. In summary, the green background reflects an active long trade, while red indicates no position. Buy triangles signal entry points based on oversold breakouts or momentum, and sell triangles mark exits due to trend changes, reversals, or losses, aligning with institutional dip-buying strategies.
Penunjuk Pine Script®
oleh AnuarASM
1