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HP Strategy (Hannah's Precise) - with AlertsThis script is for a custom indicator called HP Strategy (Hannah’s Precise). It identifies high-probability buy and sell setups based on: Order block detection (based on specific bullish/bearish candle formations) EMA confluences (price bouncing off 20, 50, 100 EMAs) Hull Moving Average (HMA100) for trend direction A custom Trama line for added confirmation The strategy ensures only buys above HMA100 and EMA100, and only sells below them When all these conditions align with a valid order block, the indicator shows a BUY or SELL label and optionally triggers an alert.
Pine Script®指標
由hannahmohamed提供
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals. CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale. 🚀 CONCEPTS • Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets • Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups • Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers • Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength) • Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average 🔧 FEATURES Six-Kernel Pattern Detection: Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels. Adaptive Neural Architecture: Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions. Professional Visual Themes: Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis. Confidence Band System: Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones. Real-Time Information Panel: Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength. Individual Feature Analysis: Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis. User Guide • Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation • Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability • Background intensity reflects signal strength - darker backgrounds indicate stronger conviction • Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average • Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation • Information panel provides real-time confidence percentage and momentum direction for position sizing decisions • Individual feature plots allow granular analysis of specific pattern components for strategy refinement 💡Conclusion CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
Pine Script®指標
由PhenLabs提供
1
IU Pivot Zones + GMADESCRIPTION: IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move. The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic. USER INPUTS * Pivot point Lengths: Number of bars used to detect pivot highs/lows * Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones * GMA Length: Period for calculating the geometric moving averages based on highs and lows * Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones LOGIC OF THE INDICATOR: * Detects pivot highs and pivot lows using the user-defined length * Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone * If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support) * The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears * Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias * Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility WHY IT IS UNIQUE: * Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages * ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones * Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool * Real-time zone extension and disappearance logic based on price interaction HOW USER CAN BENEFIT FROM IT: * Spot high-probability breakout or reversal zones that price respects consistently * Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs * Build price action strategies around zone touches, breakouts, or rejections * Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels * Save time by avoiding manual marking of zones on charts across timeframes DISCLAIMER: This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Pine Script®指標
由Shivam_Mandrai提供
7
[Kpt-Ahab] Poor Mans Orderflow SimulatorScript Description – Poor Mans Orderflow Simulator Purpose of the Script This script simulates a simplified order flow approach ("Poor Man's Orderflow") without access to actual Bid/Ask data. The goal is to detect, quantify, and visualize patterns such as absorption, impulsive moves, and structured re-entry behaviors. Calculation Logic Absorption Candles A candle is classified as "absorption" if: The ratio of body size to full candle range is below a defined threshold, Volume is significantly higher than the average of the last N periods, The candle direction is negative (for long absorption) or positive (for short absorption). These conditions define a candle with high activity but minimal price movement in the respective direction. Impulse Candles A candle is classified as "impulse" if: The body-to-range ratio is high (indicating a strong directional move), Volume exceeds the average significantly, The price closes in the direction of the candle body (bullish or bearish). Additionally, the average range of previous candles serves as a minimum benchmark for the impulse. Cluster Detection A cluster is detected when: A minimum number of absorption candles is counted within a defined lookback period, Either the long or short version of the absorption logic is used, The result is a binary condition: cluster active or inactive. Entry Signals (Re-entry) An entry signal is generated when: One or more absorption candles occurred in the last two bars, A pullback against the direction of absorption occurs, The current candle shows a directional move confirmed by a close in the expected direction. These re-entry signals are evaluated separately for long and short scenarios. Cluster-Confirmed Signals A separate signal is generated when a valid re-entry setup occurs while a cluster is active. This represents a combined logic condition. Alert Logic The script provides a multi-layer alert framework: Signal selection (Alertmode): The user defines which signal type should trigger an alert (e.g. re-entry only, cluster only, combination, or impulse). Optional filter (Filtermode): A secondary filter limits alerts to cases where an additional condition (e.g. absorption cluster) is active. Signal output: As a simple binary value (+1 / –1) for classic alerts, Or via an encoded Multibit signal, compatible with other modules in the djmad ecosystem. These alerts are intended for integration with external systems or for use within platform-native visual or automation features.
Pine Script®指標
由Kpt-Ahab提供
Buying/Selling ProxyTiltFolio Buying/Selling Proxy This simple but effective indicator visualizes short-term buying or selling pressure using log returns over a rolling window. How It Works: Calculates the average of logarithmic returns over the past N bars (default: 20). Positive values suggest sustained buying pressure; negative values indicate selling pressure. Plotted as a color-coded histogram: ✅ Green = net buying ❌ Red = net selling Why Use It: This proxy helps traders gauge directional bias and momentum beneath the surface of price action — especially useful for confirming breakout strength, timing entries, or filtering signals. - Inspired by academic return normalization, but optimized for practical use. - Use alongside TiltFolio's Breakout Trend indicator for added context.
Pine Script®指標
由TiltFolio提供
Breakout TrendTiltFolio Breakout Trend Indicator The Breakout Trend Indicator by TiltFolio helps traders identify powerful price movements by combining Donchian Channel breakouts with short- and long-term trend filters. Key Features: Donchian Channel Breakouts: Highlights bullish and bearish momentum as price breaks above recent highs or below recent lows. Trend Context: Includes customizable short- and long-term moving averages (SMA or EMA) to help filter trades in the direction of the broader trend. Breakout Memory: Remembers breakout states to avoid noise and maintain trend consistency. Bar Counter Display: Shows how many bars have passed since the most recent breakout, helping users assess trend strength and maturity. ATR Display: Built-in ATR (Average True Range) value offers a quick gauge of market volatility. Clean Visuals: Color-coded candles and optional channel lines keep the chart intuitive and uncluttered. This indicator is ideal for trend-following traders looking to stay on the right side of momentum while avoiding common whipsaws. Works best on higher timeframes (e.g. 4H, Daily, Weekly). Free and open — feel free to customize for your strategy. Follow TiltFolio for model portfolios and signals built on systematic methods.
Pine Script®指標
由TiltFolio提供
PLR-Z For Loop🧠 Overview PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends. 🧩 Key Features Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve. Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal. Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility. Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions. Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles. 🔍 How It Works Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels. Residual Z-Score: The residual is calculated as the log-difference between price and the power law center. This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score. Loop Scoring Logic: A loop compares the current Z-score to a configurable number of past bars. Each higher comparison adds +1, and each lower one subtracts -1. The result is a trend persistence score (z_loop) that grows with consistent directional momentum. Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise. Signal Logic: Long signal when trend score exceeds long_threshold. Short signal when score drops below short_threshold. Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output. 🔁 Use Cases & Applications Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes. Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility. Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets. ✅ Conclusion PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Pine Script®指標
由CipherDecoded提供
Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed. Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy. The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price. The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line). A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use. The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match. As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart. Note: This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
Pine Script®指標
由TheUltimator5提供
20
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \ \Overview\ The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise. \Calculation\ \ \ \Step 1: Weighted Price (P)\ For each bar t, compute a weighted price: ``` Pₜ = Hₜ + Lₜ + 2·Cₜ ``` where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t. Also compute Pₜ₋₁ for the prior bar. \ \Step 2: Raw Range (R)\ Calculate the two‐bar range: ``` Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁) ``` This Rₜ is used indirectly in the exponential dampener below. \ \Step 3: Normalize Volume (VolNorm)\ Compute an EMA of volume over n₁ bars (e.g. n₁=13): ``` EMA_Volₜ = EMA(Volume, n₁)ₜ ``` Then ``` VolNormₜ = Volumeₜ / EMA_Volₜ ``` If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero. \ \Step 4: BuyPower vs. SellPower\ Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically: • If Pₜ > Pₜ₋₁, ``` BuyPowerₜ = (VolNormₜ) / exp ``` otherwise ``` BuyPowerₜ = VolNormₜ. ``` • If Pₜ < Pₜ₋₁, ``` SellPowerₜ = (VolNormₜ) / exp ``` otherwise ``` SellPowerₜ = VolNormₜ. ``` Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10). \ \Step 5: Smooth Buy/Sell Power\ Apply a short EMA (n₂ bars, typically n₂=2) to each: ``` EMA_Buyₜ = EMA(BuyPower, n₂)ₜ EMA_Sellₜ = EMA(SellPower, n₂)ₜ ``` \ \Step 6: Raw Demand Index (DI\_raw)\ ``` DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ ``` A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite. \ \Step 7: Optional EMA Smoothing on DI (DI)\ To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5): ``` DIₜ = EMA(DI_raw, n₃)ₜ. ``` If n₃ = 1, DI = DI\_raw (no further smoothing). \ \Interpretation\ \ \ \Crossing Zero Line\ • DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal. • Crossing from above to below zero signals dominant selling pressure—potential Short signal. \ \DI\_raw vs. DI (EMA)\ • When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating. • When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration). \ \Divergences\ • If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal. • If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce. \ \Volume Confirmation\ • A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves. • Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout. \ \Usage Notes & Warnings\ \ \ \Never Use DI in Isolation\ It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades. \ \Parameter Selection\ • \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier. • \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing. • \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal. \ \Market Adaptation\ Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise. --- \In Summary\ The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Pine Script®指標
由TradeQUO提供
6MA Fill Indicator MTF (Paired, SMA/EMA Selectable)6MA Fill Indicator MTF（移動平均ペア塗り分けインジケーター） This indicator displays 3 customizable pairs of moving averages (MA), each on any selectable timeframe and type (SMA or EMA), with fill coloring to visually indicate trend direction between short and long MA within each pair. このインジケーターは、最大3ペア（計6本）の移動平均線を異なる時間軸と種類（SMAまたはEMA）で表示し、ペア間を色で塗り分けることで、トレンドバイアスの視認性を向上させます。 Features / 機能説明 3 MA pairs configurable individually (type, length, timeframe for each MA) 3つのMAペアそれぞれに対し、期間・種類・時間軸を個別に設定可能 Color fill between each MA pair Blue fill if short MA > long MA (bullish bias) Red fill if short MA < long MA (bearish bias) 各ペア内で短期MAが長期MAを上回ると青、下回ると赤で塗りつぶし表示 Multi-timeframe support 任意の時間足（MTF）に対応し、中長期のトレンド認識に有効 Use Cases / 主な用途 Multi-timeframe trend alignment 複数時間軸でのトレンド整合性確認 Trend-following strategy support トレンドフォロー系戦略の補助 Quick visual market context recognition トレンド環境の視覚的な高速把握
Pine Script®指標
由GyakubariMaster提供
Triple RSI with Trend Background**Triple RSI Indicator – Description & Usage Guide** ### 🔍 **What It Is** The **Triple RSI Indicator** is a custom TradingView tool that visualizes **three Relative Strength Index (RSI)** values on the same panel (default periods: **9, 13, 21**) and highlights trend direction using **colored backgrounds**. It helps traders quickly identify: * **Bullish momentum** when short-term RSI is leading * **Bearish or weak momentum** otherwise --- ### ⚙️ **How It Works** The script calculates: * **RSI 1 (Fast)** — default period: 9 * **RSI 2 (Medium)** — default period: 13 * **RSI 3 (Slow)** — default period: 21 Then, it compares the values: * ✅ **Bullish Condition**: RSI 9 > RSI 13 > RSI 21 → **Green Background** * ❌ **Bearish Condition**: Any other order → **Red Background** This logic helps spot when momentum is stacking in favor of buyers. --- ### 🧪 **Customization Options** In the indicator settings panel, you can change: * RSI lengths (`RSI 1`, `RSI 2`, `RSI 3`) * Line colors and thickness for each RSI * Background color for bullish (green) and bearish (red) conditions --- ### 📈 **How to Use It Effectively** 1. **Add the indicator to your chart** via Pine Script editor on TradingView. 2. **Look for green background** — this signals building bullish momentum (RSI stacking). 3. **Use it with other tools** like: * **Volume spikes** * **Breakouts above resistance** * **MACD or EMA confirmation** 4. **Red background** suggests hesitation or bearish shift — consider avoiding long trades or managing risk. --- ### 🧭 **Ideal For** * Momentum traders * Swing traders * Anyone who wants a visual RSI trend filter
Pine Script®指標
由youngphero提供
3 Bar Reversal3 Bar Reversal This pattern is described in John Carter's "Mastering the Trade" The 3 Bar Reversal indicator is a simple but effective price action tool designed to highlight potential short-term reversals in market direction. It monitors consecutive bar behavior and identifies turning points based on a three-bar pattern. This tool can assist traders in spotting trend exhaustion or early signs of a reversal, particularly in scalping or short-term trading strategies. How It Works This indicator analyzes the relationship between consecutive bar closes: It counts how many bars have passed since the price closed higher than the previous close (barssince(close >= close )) — referred to as an "up streak". It also counts how many bars have passed since the price closed lower than the previous close (barssince(close <= close )) — known as a "down streak". A reversal condition is met when: There have been exactly 3 bars in a row moving in one direction (up or down), and The 4th bar closes in the opposite direction. When this condition is detected, the script performs two actions: Plots a triangle on the chart to signal the potential reversal: A green triangle below the bar for a possible long (buy) opportunity. A red triangle above the bar for a possible short (sell) opportunity. Triggers an alert condition so users can set notifications for when a reversal is detected. Interpretation Long Signal: The market has printed 3 consecutive lower closes, followed by a higher close — suggesting bullish momentum may be emerging. Short Signal: The market has printed 3 consecutive higher closes, followed by a lower close — indicating possible bearish momentum. These patterns are common in market retracements and can act as confirmation signals when used with other indicators such as RSI, MACD, support/resistance, or volume analysis. Usage Examples Scalping: Use the reversal signal to quickly enter short-term trades after a short-term exhaustion move. Swing Trading: Combine this with trend indicators (e.g., moving averages) to time pullbacks within larger trends. Confirmation Tool: Use this indicator alongside candlestick patterns or support/resistance zones to validate entry or exit points. Alert Setup: Enable alerts based on the built-in alertcondition to receive instant notifications for potential trade setups. Limitations The 3-bar reversal logic does not guarantee a trend change; it signals potential reversals, which may need confirmation. Best used in conjunction with broader context such as trend direction, market structure, or other technical indicators.
Pine Script®指標
由abbadon9提供
1
SMA 90 Crossover Signalمؤشر Samer MA Flow هو أداة فنية متقدمة تعتمد على ثلاثة متوسطات متحركة بسيطة (SMA) بفترات 45 و90 و180. يعتمد المؤشر على سلوك السعر حول المتوسط 90 (الخط الأزرق) لتوليد إشارات دخول وخروج واضحة: • إشارة شراء عندما يخترق السعر SMA 90 صعودًا. • إشارة بيع عندما يكسر السعر SMA 90 هبوطًا. كما يُظهر المؤشر SMA 45 و180 لمتابعة الاتجاه العام والزخم بشكل بصري واضح. الميزات: • إشارات دخول/خروج بسيطة وفعالة. • يعرض SMA 45 / 90 / 180 بوضوح. • يعمل على جميع الفريمات الزمنية. • مناسب للمبتدئين والمحترفين. • يمكن دمجه مع أدوات فنية أخرى Samer MA Flow is an advanced yet simple indicator based on three Simple Moving Averages (SMA): 45, 90, and 180. It generates clear buy and sell signals based on price interaction with the SMA 90 (the blue line): • Buy signal when the price crosses above SMA 90. • Sell signal when the price crosses below SMA 90. The indicator also displays SMA 45 and 180 to help identify trend structure and momentum visually. Features: • Simple and effective entry/exit signals. • Visualizes SMA 45 / 90 / 180. • Works on all timeframes. • Suitable for beginners and professionals. • Easy to combine with other technical tools
Pine Script®指標
由samer-2030提供
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators. --- \ 1. Calculation Basis\ 1. Volume Normalization $$ \text{normVol}_t = \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t} \quad(\text{e.g., }n_{\text{Vol}} = 13) $$ This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”). 2. Price Factor $$ \text{priceFactor}_t = \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}. $$ Positive values for bullish bars, negative for bearish bars. 3. Component per Bar $$ \text{component}_t = \text{normVol}_t \times \text{priceFactor}_t. $$ If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls. 4. Raw DI (Rolling Sum) Over a window of \$w\$ bars (e.g., 20): $$ \text{RawDI}_t = \sum_{i=0}^{w-1} \text{component}_{\,t-i}. $$ Alternatively, recursively for \$t \ge w\$: $$ \text{RawDI}_t = \text{RawDI}_{t-1} + \text{component}_t - \text{component}_{\,t-w}. $$ 5. Optional EMA Smoothing An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends: $$ \text{EMA\_DI}_t = \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t. $$ 6.Zero Line Handy guideline: RawDI > 0: Accumulated buying power dominates. RawDI < 0: Accumulated selling power dominates. 2. Interpretation & Application Crossing Zero RawDI above zero → Indication of increasing buying pressure (potential long signal). RawDI below zero → Indication of increasing selling pressure (potential short signal).  Not to be used alone for entry—always confirm with price action. RawDI vs. EMA_DI RawDI > EMA\_DI → Acceleration of demand. RawDI < EMA\_DI → Weakening of demand. Divergences Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend. Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend. 3. Typical Signals (for Beginners) \ 1. Long Setup\ RawDI crosses zero from below, RawDI > EMA\_DI (acceleration), Price closes above a short-term swing high or resistance. Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R. 2. Short Setup RawDI crosses zero from above, RawDI < EMA\_DI (increased selling pressure), Price closes below a short-term swing low or support. Stop-Loss: just above the last swing high. --- 4. Notes and Parameters Recommended Values (Beginners): Volume EMA (n₍Vol₎) = 13 RawDI window (w) = 20 EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing) Attention:\ NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns). Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals. --- Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
Pine Script®指標
由TradeQUO提供
Directional Strength IndexThis indicator is designed to detect the dominant market direction and quantify its strength by aggregating signals across six key timeframes: 1H, 4H, 1D, 3D, 1W, and 1M. At its core, it uses a SMEMA 'the Simple Moving Average of an EMA' as the main trend reference. This hybrid smoothing method was chosen for its balance: the EMA ensures responsiveness to recent price moves, while the SMA dampens short-term volatility. This makes the SMEMA more stable than a raw EMA and more reactive than a simple SMA, especially in noisy or volatile environments. For each timeframe, a score between -10 and +10 is calculated. This score reflects: - the distance of the price from the SMEMA, using ATR as a dynamic threshold - the number of price deviations above or below the SMEMA - the slope of the SMEMA, which adjusts the score based on momentum These six timeframe scores are then combined into a single Global Score, using weighted averages. Three weighting profiles are available depending on your trading horizon: - Long Term: emphasizes weekly and monthly data - Swing Trading: gives balanced importance to all timeframes - Short Term: prioritizes 1H and 4H action This multi-timeframe aggregation makes the indicator adaptable to different styles while maintaining a consistent logic. The result is displayed in a table on the chart, showing: - the trend direction per timeframe (up, down or neutral) - the strength score per timeframe - the overall trend direction and strength based on the selected profile Optional deviation bands based on ATR multiples are also plotted to provide visual context for overextensions relative to the SMEMA. This indicator is non-repainting and built for objective, trend-based decision making.
Pine Script®指標
由Julien_Eche提供
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