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Analisi trend

ai quant oculusAI QUANT OCULUS Version 1.0 | Pine Script v6 Purpose & Innovation AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points. How It Works & Why Its Components Matter Trend Filter: EMA vs. Adaptive MA EMA (20) measures the prevailing trend with fixed sensitivity. Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter. Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action. Momentum Confirmation: TRIX Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator. Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts. Gaussian Price Smoother Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise. Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes. Confluence Signals Buy Signal (isBull) fires only when: AMA > EMA (trend alignment) TRIX > 0 (momentum support) Close > Gaussian (price strength) Sell Signal (isBear) fires under the inverse conditions. Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems. Automatic Risk & Reward Plotting On each new buy or sell signal (edge detection via not isBull or not isBear ), the script: Stores entryPrice at the signal bar’s close. Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default. Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×). All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade. Inputs & Customization Input Description Default EMA Length Period for the main trend EMA 20 Adaptive MA Length Period for the faster adaptive EM A substitute 10 TRIX Length Period for the triple-smoothed momentum oscillator 15 Dominant Cycle Length (Reserved) 40 Stop Multiplier ATR multiple for stop-loss distance 1.5 Target Multiplier ATR multiple for first profit target 1.5 Show Buy/Sell Signals Toggle on-chart labels for entry signals On How to Use Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps. Wait for Full Confluence: Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar. A bright “LONG” or “SHORT” label marks your entry. Manage the Trade: Place your stop where the red or green SL line appears. Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility. Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup. Why This Script Stands Out Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies. Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal. Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments. Disclaimer No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
Indicatore Pine Script®
di OnlyOneOculus
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT 📖 Description: This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups. At its core, it merges: A Bollinger Band % Positioning Model (BB%) A 75th/25th Percentile Momentum System A Volatility-Adjusted Trend Filter using RMA + ATR All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups. Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations. ⚙️ Methodology Overview: Bollinger Bands % (BB%): Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes. Volatility-Based Trend Filter (RMA + ATR): A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility. Percentile Momentum Model (75th/25th Rank): Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition. Signal Consensus Engine: All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted. Gradient Oscillator Visualization: Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance. 🔧 User Inputs: 🧠 Core Settings: Source: Select the price input (default: close) Bollinger Bands Length: Period for BB basis and deviation Bollinger Bands Multiplier: Width of the bands Minimum BB Width (% of Price): Prevents signals during low-volatility chop 📊 BB% Thresholds: BB% Long Threshold (L): Minimum %B to consider a long BB% Short Threshold (S): Maximum %B to consider a short 🔍 Trend Filter Parameters: RMA Length: Period for the smoothed trend baseline ATR Length: Lookback for ATR in trend deviation filter ⚡️ Momentum Parameters: Momentum Length: Period for percentile momentum calculation Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels 🎨 Visualization: Bar Coloring: Highlights candles during active signals Background Coloring: Optional background shading for signals Show Oscillator Plot: Toggle the gradient-style oscillator 🧪 Use Case: This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion. ⚠️ Notes: This is not financial advice. Use in combination with proper risk management and confluence from other tools.
Indicatore Pine Script®
di D_QUANT
Historical Year OverlayThis script allows you to simply source any historical calendar year and overlay it over any other year (usually a historical year overlaying a year in the future). It was made using an LLM for coding help and logic. It is great for working out potential pivots and it also maps the previous profit/loss from the source year over the plot year so that we can see the connection to price levels throughout the plot year and also with the yearly close (we get a horizontal line for the close). It uses the year open as a price reference to plot the P&L over the plot year (if use plot year option is selected). if the year has not started yet you can use the "manual opening price" OR it will auto set to the current price (great for "replay mode", it will catch the actual opening price once it happens). The settings are self explanatory. Choose a source year and plot year. Choose a multiplier if you'd like (it simply multiplies the plot year P&L by that number; ie: 1 means the same as it was, 0.5 means half of what is was, 2 means 2x the source P&L) The resolution is max default 50 line segments but you can simplify if you'd like. I've released the code open-source so you can see what it is doing. Please update it with all the enhancements you can think of. Please let me know if you do this as I will be very interested!
Indicatore Pine Script®
di joe.dodaro
1
FFT Signal AnalyzerFFT Signal Analyzer The FFT Signal Analyzer uses a simplified Fast Fourier Transform (FFT) approach to extract dominant cyclical components from price data. By detrending and applying adaptive smoothing, the indicator highlights frequency-driven signals that traditional indicators often miss. This tool is ideal for traders who want to visualize cyclical market behavior, identify turning points, and confirm entries/exits with frequency-based momentum signals. How it works: Removes price trend via detrending (moving average subtraction) Applies a bandpass filter (EMA) to isolate dominant frequency components Normalizes the signal using a z-score for consistent visibility Amplifies the signal for easy interpretation Highlights slope changes with background coloring (green = rising, red = falling) Use Cases: Use zero-line crosses to detect cycle shifts or momentum pivots Combine with trend filters (e.g., GRJMOM) for high-probability setups Ideal for detecting underlying rhythm in sideways or oscillating markets Best for: Swing traders, scalpers, and cycle analysts looking for frequency-aware confirmation signals Works on all timeframes and asset classes
Indicatore Pine Script®
di bearbearbull23
1
On-Chain Signals [LuxAlgo]The On-Chain Signals indicator uses fundamental blockchain metrics to provide traders with an objective technical view of their favorite cryptocurrencies. It uses IntoTheBlock datasets integrated within TradingView to generate four key signals: Net Network Growth, In the Money, Concentration, and Large Transactions. Together, these four signals provide traders with an overall directional bias of the market. All of the data can be visualized as a gauge, table, historical plot, or average. 🔶 USAGE The main goal of this tool is to provide an overall directional bias based on four blockchain signals, each with three possible biases: bearish, neutral, or bullish. The thresholds for each signal bias can be adjusted on the settings panel. These signals are based on IntoTheBlock's On-Chain Signals. Net network growth: Change in the total number of addresses over the last seven periods; i.e., how many new addresses are being created. In the Money: Change in the seven-period moving average of the total supply in the money. This shows how many addresses are profitable. Concentration: Change in the aggregate addresses of whales and investors from the previous period. These are addresses holding at least 0.1% of the supply. This shows how many addresses are in the hands of a few. Large Transactions: Changes in the number of transactions over $100,000. This metric tracks convergence or divergence from the 21- and 30-day EMAs and indicates the momentum of large transactions. All of these signals together form the blockchain's overall directional bias. Bearish: The number of bearish individual signals is greater than the number of bullish individual signals. Neutral: The number of bearish individual signals is equal to the number of bullish individual signals. Bullish: The number of bullish individual signals is greater than the number of bearish individual signals. If the overall directional bias is bullish, we can expect the price of the observed cryptocurrency to increase. If the bias is bearish, we can expect the price to decrease. If the signal is neutral, the price may be more likely to stay the same. Traders should be aware of two things. First, the signals provide optimal results when the chart is set to the daily timeframe. Second, the tool uses IntoTheBlock data, which is available on TradingView. Therefore, some cryptocurrencies may not be available. 🔹 Display Mode Traders have three different display modes at their disposal. These modes can be easily selected from the settings panel. The gauge is set by default. 🔹 Gauge The gauge will appear in the center of the visible space. Traders can adjust its size using the Scale parameter in the Settings panel. They can also give it a curved effect. The number of bars displayed directly affects the gauge's resolution: More bars result in better resolution. The chart above shows the effect that different scale configurations have on the gauge. 🔹 Historical Data The chart above shows the historical data for each of the four signals. Traders can use this mode to adjust the thresholds for each signal on the settings panel to fit the behavior of each cryptocurrency. They can also analyze how each metric impacts price behavior over time. 🔹 Average This display mode provides an easy way to see the overall bias of past prices in order to analyze price behavior in relation to the underlying blockchain's directional bias. The average is calculated by taking the values of the overall bias as -1 for bearish, 0 for neutral, and +1 for bullish, and then applying a triangular moving average over 20 periods by default. Simple and exponential moving averages are available, and traders can select the period length from the settings panel. 🔶 DETAILS The four signals are based on IntoTheBlock's On-Chain Signals. We gather the data, manipulate it, and build the signals depending on each threshold. Net network growth float netNetworkGrowthData = customData('_TOTALADDRESSES') float netNetworkGrowth = 100*(netNetworkGrowthData /netNetworkGrowthData - 1) In the Money float inTheMoneyData = customData('_INOUTMONEYIN') float averageBalance = customData('_AVGBALANCE') float inTheMoneyBalance = inTheMoneyData*averageBalance float sma = ta.sma(inTheMoneyBalance,7) float inTheMoney = ta.roc(sma,1) Concentration float whalesData = customData('_WHALESPERCENTAGE') float inverstorsData = customData('_INVESTORSPERCENTAGE') float bigHands = whalesData+inverstorsData float concentration = ta.change(bigHands )*100 Large Transactions float largeTransacionsData = customData('_LARGETXCOUNT') float largeTX21 = ta.ema(largeTransacionsData,21) float largeTX30 = ta.ema(largeTransacionsData,30) float largeTransacions = ((largeTX21 - largeTX30)/largeTX30)*100 🔶 SETTINGS Display mode: Select between gauge, historical data and average. Average: Select a smoothing method and length period. 🔹 Thresholds Net Network Growth : Bullish and bearish thresholds for this signal. In The Money : Bullish and bearish thresholds for this signal. Concentration : Bullish and bearish thresholds for this signal. Transactions : Bullish and bearish thresholds for this signal. 🔹 Dashboard Dashboard : Enable/disable dashboard display Position : Select dashboard location Size : Select dashboard size 🔹 Gauge Scale : Select the size of the gauge Curved : Enable/disable curved mode Select Gauge colors for bearish, neutral and bullish bias 🔹 Style Net Network Growth : Enable/disable historical plot and choose color In The Money : Enable/disable historical plot and choose color Concentration : Enable/disable historical plot and choose color Large Transacions : Enable/disable historical plot and choose color
Indicatore Pine Script®
di LuxAlgo
8
Trend Zones & ATR Targets[CongTrader]TrendZones ATR is a dynamic trend and support/resistance indicator that combines Hull Moving Average (HMA) smoothing, mid-price analysis, and ATR-based targets to identify precise trading zones and risk levels. Key Features: Adaptive Trend Zones — Calculates upper, midline (CoG), and lower borders from smoothed mid-price, adapting to market volatility. Trend Classification — Detects uptrend, downtrend, or sideways conditions using slope-based logic. Safe Level & Logical Stop — Automatically sets risk levels according to price zone classification. Flexible TP Methods — Choose between %-based or ATR-based take-profit targets. Optional ATR Support Zone — Adds an ATR-based support level for stronger confluence. Risk & Zone Width Table — Displays real-time risk and channel width data on the chart. How to Use: Apply the indicator to any symbol and timeframe. Identify market zones with color-coded fills. Align trades with the detected trend direction. Use Safe Level or Logical Stop for stop-loss placement. Set TP targets using either % or ATR multiplier. Combine with your own trade confirmation method for optimal results. Acknowledgment: Thanks to the TradingView community for inspiration and feedback. This script is original work by CongTrader. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Trading carries risk and may not be suitable for all investors. Do your own research before making any trading decisions. The author is not responsible for any losses resulting from the use of this script. #trendzones #atr #supportresistance #tradingview #forex #crypto #stocks #daytrading #swingtrading #riskmanagement #chartanalysis .
Indicatore Pine Script®
di CongTrader_
TSD Quantum [Moeinudin Montazerfaraj] 🔸 "TSD" stands for **Trend 1-2-3 and Supply & Demand**, which is the foundation of the trading style this indicator is built upon. 🔹 TSD Quantum is a specialized indicator designed exclusively for day traders who trade EURUSD, XAUUSD (Gold), and DAX40 on the 1H, 15M, and 5M timeframes using a Supply & Demand-based strategy. This indicator is **not suitable for other symbols** and has been tailored specifically for these three assets to ensure high precision and effectiveness. --- ### 🔍 Key Features: ✅ **Trading Checklist Panel** A built-in checklist helps you track every rule in your trading plan. If even one condition is left unchecked, the system highlights it in red and marks the trade as "Not Allowed." This feature enhances trading discipline. ✅ **Spread & ATR Control Panel** Supports both auto-calculated and fixed values for spread and ATR. This is especially helpful when placing stop-losses quickly and accurately. ✅ **Inside & Outside Candle Detection** A dedicated panel highlights whether the last candle is inside or outside. Hovering your mouse over the chart elements automatically colorizes the candles: 🔵 Blue = Outside candle 🔴 Red = Inside candle Also displays the high/low of the latest outside bar. ✅ **Weekly Trade Stats Panel** Custom-built for the mentioned three assets. You can enter your trades using either fixed risk or floating risk models. ✅ **Performance Metrics** Helps you build and adjust a floating risk model—so you don’t have to enter every trade with the same lot size. Improves risk management across multiple trades. ✅ **Base Candles Display** Grey and white base candles are marked based on supply and demand zones. ✅ **EOT Candles** Candles with a green dot underneath indicate valid EOT opportunities for potential move-outs. ✅ **RC (Rejection Candle) Detection** RC candles are automatically detected to alert you of potential traps or weaknesses during Supply/Demand formations. --- ### ⚠️ Disclaimer This indicator does **not** issue buy/sell signals and **cannot guarantee profit or prevent loss**. It is a **tool for discretionary trading**, not an automated expert advisor. All decisions must be made by the trader based on their own strategy and risk tolerance. This is the **latest tested version** of TSD Quantum. All features have been validated and function as intended. Future updates will be provided if needed. --- 🙏 Thank you for reviewing this script. We hope it becomes a valuable addition to your day trading toolkit!
Indicatore Pine Script®
di mrmoeinudinQuantum
ATR-Scaled Deviation OscillatorATR-DevOsc is a custom momentum-and-volatility adaptive oscillator that scales N-bar price momentum by its rolling deviation and then reacts dynamically to sudden ATR spikes. By shrinking the deviation window when true volatility surges, it amplifies extreme moves—making medium-term trend shifts and deep drawdowns far more likely to breach your predefined thresholds. Key features include: • configurable momentum length and separate deviation length for precise control over look-back periods • ATR Reaction Multiplier to tune how strongly sudden volatility spikes contract the deviation, boosting oscillator amplitude during extreme moves • independent upper and lower threshold inputs for clear long/short signal definitions • integrated candle-coloring overlay to immediately visualize trend state on your price chart • built-in alert conditions for both oscillator-threshold crossovers and ATR-reactive triggers This indicator is particularly useful for swing traders seeking medium-term entry and exit points in highly volatile markets like BTC. It combines normalized momentum readings with true volatility feedback, so large drawdowns or breakouts generate unmistakable signal events while routine noise stays filtered. Note: ATR-DevOsc is provided “as is” without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
Indicatore Pine Script®
di C_H_I_P_A
Taiyoz Gaps1. Purpose Tyoz Gaps highlights “gaps” between yesterday’s close and today’s open directly on your chart. A gap occurs when the opening price is significantly above or below the prior bar’s close. By drawing persistent boxes around each gap, you can instantly see where price left a void and monitor when (or if) that void gets completely filled. 2. Gap Detection Logic Threshold: A gap is only detected if the open-to-previous-close difference exceeds a user-defined “Minimal Deviation” (percentage of the 14-bar average high-low range). Direction: Gap Up: today’s open > yesterday’s close Gap Down: today’s open < yesterday’s close 3. Box Drawing For each detected gap, the script draws a rectangular box spanning from yesterday’s close level to today’s open level. Border & Fill Colors are configurable separately for up-gaps and down-gaps. Boxes extend to the right as new bars form. 4. Display & Filtering Options Show Gap Up / Show Gap Down toggles let you hide bullish or bearish gaps independently. Max Number of Gaps: Limits how many boxes remain on-screen; oldest boxes are removed when the limit is exceeded. Limit Max Gap Trail Length: Optionally force-close any gap box after a given number of bars, even if unfilled. 5. Closing Logic Full-Fill Only: A gap box stays visible until price fully “fills” it—i.e., for an up-gap, price must exceed the top edge (yesterday’s close); for a down-gap, price must cross below the bottom edge. Once filled, the box is removed and a “Gap Closed” alert flag is set. 6. Labels & Alerts Each active gap can optionally show a label at the gap’s lower edge containing: Absolute size (in price points) and percentage of the gap Bar count since the gap formed Label Text Color and Label Text Size are both user-configurable. Two built-in alertcondition()s fire when a new gap appears or when a gap closes.
Indicatore Pine Script®
di taiyoooo
Desempenho 4ªs (MA)This Pine Script v5 indicator calculates the performance from Wednesday to Wednesday at 10:30 AM for the charted instrument. Every Wednesday at that time, it records the closing price and computes the percentage change, assigning a signal: +1 for increases above 1 %, -1 for declines below -1 %, and 0 for intermediate movements. It plots a five-period simple moving average on the main chart, color-coded green, red, or gray based on the weekly signal. Vertical dotted lines mark each weekly separation, and two blue horizontal lines denote the ±1 % thresholds for the current week. A label displays the performance percentage and signal.
Indicatore Pine Script®
di hungryApple97568
Efficient Candle Range (ECR)Efficient Candle Range (ECR) A custom-built concept designed to detect zones of efficient price movement, often signaling the start, pause, or end of an implied move. What is the Efficient Candle Range? The Efficient Candle Range (ECR) is a unique tool that identifies price zones based on efficient candles—candles with relatively small bodies and balanced wicks. These candles reflect balanced or orderly price action, and when grouped into a range, they can reveal areas of temporary equilibrium in the market. Rather than focusing on single candles, ECR builds a range that dynamically adjusts as new efficient candles form. This gives traders an objective way to track potential areas of absorption, distribution, or transition. Why use ECR? Efficient candles often occur: At the beginning of a new move, after a liquidity sweep or shift in sentiment At the end of a strong move, as momentum fades Within consolidation zones, where price trades in a balanced, indecisive state While ECRs can appear in any market condition, their interpretation depends on context: In a range, an ECR might just reflect sideways balance. But after a sweep or breakout, it could signal a potential shift in direction or continuation. A close outside the ECR often marks the end of that balance and the start of a new impulse. How it works The script detects efficient candles based on body-to-range ratio and wick symmetry. Consecutive ECs are grouped into a live ECR box. The box dynamically extends as long as price stays inside the high-low range. Once a candle closes outside, the ECR is considered invalid (fades visually, but remains visible for reference). Each active range is labeled "ECR" within the box for easy tracking. Customizable in settings Max body percentage of range Max wick imbalance Box and label color/transparency Suggested usage Let the ECR define your observation zone. Instead of reacting immediately to an efficient candle, wait for a confirmed breakout from the ECR to validate the next move. Whether you trade breakouts, reversals, or continuation setups, ECR provides an objective way to visualize price balance and understand when the market is likely to expand. Designed for individual traders looking to build structure around efficient price movement — no specific methodology required.
Indicatore Pine Script®
di joeyheick
MTF Dashboard 9 Timeframes + Signals# MTF Dashboard Pro - Multi-Timeframe Confluence Analysis System ## WHAT THIS SCRIPT DOES This script creates a comprehensive dashboard that simultaneously analyzes market conditions across 9 different timeframes (1m, 5m, 15m, 30m, 1H, 4H, Daily, Weekly, Monthly) using a proprietary confluence scoring methodology. Unlike simple multi-timeframe displays that show individual indicators separately, this script combines trend analysis, momentum, volatility signals, and volume analysis into unified confluence scores for each timeframe. ## WHY THIS COMBINATION IS ORIGINAL AND USEFUL **The Problem Solved:** Most traders manually check multiple timeframes and struggle to quickly assess overall market bias when different timeframes show conflicting signals. Existing MTF scripts typically display individual indicators without synthesizing them into actionable intelligence. **The Solution:** This script implements a mathematical confluence algorithm that: - Weights each indicator's signal strength (trend direction, RSI momentum, MACD volatility, volume analysis) - Calculates normalized scores across all active timeframes - Determines overall market bias with statistical confidence levels - Provides instant visual feedback through color-coded symbols and star ratings **Unique Features:** 1. **Confluence Scoring Algorithm**: Mathematically combines multiple indicator signals into a single confidence rating per timeframe 2. **Market Bias Engine**: Automatically calculates overall directional bias with percentage strength across all selected timeframes 3. **Dynamic Display System**: Real-time updates with customizable layouts, color schemes, and selective timeframe activation 4. **Statistical Analysis**: Provides bullish/bearish vote counts and overall confluence percentages ## HOW THE SCRIPT WORKS TECHNICALLY ### Core Calculation Methodology: **1. Trend Analysis (EMA-based):** - Fast EMA (default: 9) vs Slow EMA (default: 21) crossover analysis - Returns values: +1 (bullish), -1 (bearish), 0 (neutral) **2. Momentum Analysis (RSI-based):** - RSI levels: >70 (strong bullish +2), >50 (bullish +1), <30 (strong bearish -2), <50 (bearish -1) - Provides overbought/oversold context for trend confirmation **3. Volatility Analysis (MACD-based):** - MACD line vs Signal line positioning - Histogram strength comparison with previous bar - Combined score considering both direction and momentum strength **4. Volume Analysis:** - Current volume vs 20-period moving average - Thresholds: >150% MA (strong +2), >100% MA (bullish +1), <50% MA (weak -2) **5. Confluence Calculation:** ``` Confluence Score = (Trend + RSI + MACD + Volume) / 4.0 ``` **6. Market Bias Determination:** - Counts bullish vs bearish signals across all active timeframes - Calculates bias strength percentage: |Bullish Count - Bearish Count| / Total Active TFs * 100 - Determines overall market direction: BULLISH, BEARISH, or NEUTRAL ### Multi-Timeframe Implementation: Uses `request.security()` calls to fetch data from each timeframe, ensuring all calculations are performed on the respective timeframe's data rather than current chart timeframe, providing accurate multi-timeframe analysis. ## HOW TO USE THIS SCRIPT ### Initial Setup: 1. **Timeframe Selection**: Enable/disable specific timeframes in "Timeframe Selection" group based on your trading style 2. **Indicator Configuration**: Adjust EMA periods (Fast: 9, Slow: 21), RSI length (14), and MACD settings (12/26/9) to match your analysis preferences 3. **Display Options**: Choose table position, text size, and color scheme for optimal visibility ### Reading the Dashboard: **Symbol Interpretation:** - ⬆⬆ = Strong bullish signal (score ≥ 2) - ⬆ = Bullish signal (score > 0) - ➡ = Neutral signal (score = 0) - ⬇ = Bearish signal (score < 0) - ⬇⬇ = Strong bearish signal (score ≤ -2) **Confluence Stars:** - ★★★★★ = Very high confidence (score > 0.75) - ★★★★☆ = High confidence (score > 0.5) - ★★★☆☆ = Medium confidence (score > 0.25) - ★★☆☆☆ = Low confidence (score > 0) - ★☆☆☆☆ = Very low confidence (score > -0.25) **Market Bias Section:** - Shows overall market direction across all active timeframes - Strength percentage indicates conviction level - Overall confluence score represents average agreement across timeframes ### Trading Applications: **Entry Signals:** - Look for high confluence (4-5 stars) across multiple timeframes in same direction - Higher timeframe alignment provides stronger signal validation - Use confluence percentage >75% for high-probability setups **Risk Management:** - Lower timeframe conflicts may indicate choppy conditions - Neutral bias suggests ranging market - adjust position sizing - Strong bias with high confluence supports larger position sizes **Timeframe Harmony:** - Short-term trades: Focus on 1m-1H alignment - Swing trades: Emphasize 1H-Daily alignment - Position trades: Prioritize Daily-Monthly confluence ## SCRIPT SETTINGS EXPLANATION ### Dashboard Settings: - **Table Position**: Choose optimal location (Top Right recommended for most layouts) - **Text Size**: Adjust based on screen resolution and preferences - **Color Scheme**: Professional (default), Classic, Vibrant, or Dark themes - **Background Color/Transparency**: Customize table appearance ### Timeframe Selection: All timeframes optional - activate based on trading timeframe preference: - **Lower Timeframes (1m-30m)**: Scalping and day trading - **Medium Timeframes (1H-4H)**: Swing trading - **Higher Timeframes (D-M)**: Position trading and long-term bias ### Indicator Parameters: - **Fast EMA (Default: 9)**: Shorter period for trend sensitivity - **Slow EMA (Default: 21)**: Longer period for trend confirmation - **RSI Length (Default: 14)**: Standard momentum calculation period - **MACD Settings (12/26/9)**: Standard MACD configuration for volatility analysis ### Alert Configuration: - **Strong Signals**: Alerts when confluence >75% with clear directional bias - **High Confluence**: Alerts when multiple timeframes strongly agree - All alerts use `alert.freq_once_per_bar` to prevent spam ## VISUAL FEATURES ### Chart Elements: - **Background Coloring**: Subtle background tint reflects overall market bias - **Signal Labels**: Strong buy/sell labels appear on chart during high-confluence signals - **Clean Presentation**: Dashboard overlays chart without interfering with price action ### Color Coding: - **Green/Bullish**: Various green shades for positive signals - **Red/Bearish**: Various red shades for negative signals - **Gray/Neutral**: Neutral color for conflicting or weak signals - **Transparency**: Configurable transparency maintains chart readability ## IMPORTANT USAGE NOTES **Realistic Expectations:** - This tool provides analysis framework, not trading signals - Always combine with proper risk management - Past performance does not guarantee future results - Market conditions can change rapidly - use appropriate position sizing **Best Practices:** - Verify signals with additional analysis methods - Consider fundamental factors affecting the instrument - Use appropriate timeframes for your trading style - Regular parameter optimization may be beneficial for different market conditions **Limitations:** - Effectiveness may vary across different instruments and market conditions - Confluence scoring is mathematical model - not predictive guarantee - Requires understanding of underlying indicators for optimal use This script serves as a comprehensive analysis tool for traders who need quick, organized access to multi-timeframe market information with statistical confidence levels.
Indicatore Pine Script®
di DeltaSpeedEdge
BTC CME Futures Gaps (BTCGapHunt_CME)BTC CME Futures Gaps Indicator Overview This indicator visualises price gaps between the daily close and open of Bitcoin CME futures (CME:BTC1!). These gaps are often revisited ("filled") by market price action and may serve as technical targets. Thanks ... to Maven and the Blockchain Masons (x.com/Masons_DAO) to push me on this topic. What Is a CME Gap? CME Bitcoin Futures do not trade 24/7. Gaps form when the market reopens at a different price than where it last closed. Gaps are often used as support/resistance or liquidity targets. This indicator tracks, visualises, and alerts on these gaps. Key Features Automatic gap detection using daily open/close on CME:BTC1! Dynamic gap size threshold based on ATR (Average True Range) Highlight unfilled gaps and track partial fills visually Alerts for gap formation and fill events Parameter overlay showing real-time settings Supported and Overrideable Parameters ATR Length: Defines the lookback period for ATR calculation (default: 14) Gap Size Multiplier: Multiplies the ATR to set the dynamic gap threshold (default: 1.0) Proximity Threshold: Price distance from gap edge to consider it filled (default: 100 USD) Max Gaps Tracked: Maximum number of concurrent gaps shown (default: 50) Alerts Enabled: Toggle alerts for gap formation and gap fill events How the Gap Size Is Calculated Minimum Gap Size = ATR(14) * Gap Size Multiplier ATR Length and Gap Size Multiplier are configurable. Gap threshold adjusts dynamically with market volatility. Visual Guide Red Box: Fully unfilled gap Lemon Yellow Box: Partially filled gap Right Margin Boxes: Snapshot of unfilled gaps for quick access Top-Right Panel: Current ATR, Gap Size, Thresholds, etc. Alerts Gap Formed: A new gap is detected. Gap Filled: The gap is either partially or fully filled. Recommended Timeframes 1H, 4H, 1D (best resolution) Designed for BTC spot/perpetual charts (e.g., BTCUSD, BTCUSDT) How To Use Add the script to your BTC chart. Monitor red/yellow boxes for unfilled gaps. Check config panel for current threshold and settings. Enable alerts via TradingView for real-time updates. Notes Up to 50 gaps are tracked (adjustable). Data source: CME futures via request.security. All visuals and alerts are time-synced with your chart. Disclaimer This script is for educational purposes only. Trade at your own risk.
Indicatore Pine Script®
di xCryptoRunner
ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis. Core Calculation The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation. True Range is calculated from the current high, low, and previous close. Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars. These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range. The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value. The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization. Visualization Enhancements Several plots and conditions have been added to improve interpretability: Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme. Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually. Mirrored ADX is internally calculated for certain overlays but not directly plotted. The script also provides small circles and diamonds to highlight: Crossovers between ADX and its signal line. DI crossing above or below the 25 threshold. Rising ADX confirmed by rising DI values, with point size reflecting ADX strength. Divergence Detection The indicator includes optional detection of fractal-based divergences on the DI curve: Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI. Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly. Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives. ADX/DI Table When enabled, a floating table displays live values and summaries: ADX value , trend direction (rising/falling), and qualitative strength. DI composite , trend direction, and relative strength. Contextual power dynamics , describing whether bulls or bears are gaining or losing strength. The background colors of the table reflect current trend strength and direction. Interpretation Guidelines ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions. +DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction. When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening. Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation. The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe. Added Value over Existing Indicators Fully color-graded ADX and DI display for better visual clarity. Optional signal MA over ADX with crossover markers. Rich contextual labeling for both divergence and threshold events. Power dynamics commentary and live table help users contextualize current momentum. Customizable options for smoothing type, divergence display, table position, and visual offsets. These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values. Limitations and Disclaimers As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias. Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets. Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems. The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
Indicatore Pine Script®
di ZenAlgo_Official
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF) Version: PineScript™ v6 📌 Description The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets. Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user. 🚀 Points of Innovation Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges. Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications. Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels. Built-in information panel providing real-time strategy recommendations based on detected regimes. Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles. Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework. 🔧 Core Components Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence. Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control. Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line. Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length. Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes. Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights. 🔥 Key Features Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics. Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes. Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability. Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes. Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing. 🎨 Visualization Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price. Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends. Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment. Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges." 📖 Usage Guidelines Core Settings Hurst Lookback Period Default: 100 Range: 20-500 Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes. Minimum MA Length Default: 10 Range: 5-50 Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions. Maximum MA Length Default: 200 Range: 50-500 Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility. Sensitivity Power Default: 2.0 Range: 1.0-5.0 Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts. MA Type Default: EMA Options: EMA, SMA, WMA Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting. 🖼️ Visual Settings Show Adaptive Bands Default: True Description: Toggles visibility of upper/lower bands for volatility channels. Band Multiplier Default: 1.5 Range: 0.5-3.0 Description: Scales band width using ATR; higher values create wider channels for conservative signals. Show Information Panel Default: True Description: Displays regime info and strategy tips in a top-right panel. MA Line Width Default: 2 Range: 1-5 Description: Adjusts thickness of the main MA line for better visibility. Color Theme Default: Blue Options: Blue, Classic, Dark Purple, Vibrant Description: Selects color scheme for MA, bands, and fills to match user preferences. 🚨 Alert Settings Enable Alerts Default: True Description: Activates notifications for regime changes and band breakouts. ✅ Best Use Cases Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades. Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels. Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel. Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries. Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades. ⚠️ Limitations Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools. Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively. Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting. 💡 What Makes This Unique Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators. Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution. Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness. 🔬 How It Works Hurst Exponent Computation: Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio. Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random. Length Adaptation: Maps normalized Hurst to an MA length via a power function, clamping between min and max. Applies the selected MA type to close prices using this dynamic length. Visualization and Signals: Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength. Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends. 💡 Note: For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. 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Indicatore Pine Script®
di PhenLabs
2
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview This indicator is a professional gold scalping tool built for TradingView using Pine Script v6. It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking). It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments. 2. Key Features Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX. Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close. Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL. Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates. Customizable Filters – All filters can be turned ON/OFF to match your strategy. 3. Main Inputs & Settings Account Settings Capital ($) – Total trading capital. Risk Percentage (%) – Risk per trade. TP to SL Ratio – Risk-to-reward ratio. Value Per Point ($) – Value per pip/point for lot size calculation. SL Buffer – Extra points added to SL to avoid stop hunts. Take Profit Settings TP1 % of Full Target – Fraction of TP1 compared to TP2. Move SL to Entry after TP1? – Activates Break Even after TP1. Break Even Buffer – Extra points when moving SL to BE. Take Partial Close at TP1 – Option to close half at TP1. Signal Filters ATR Period – For SL/TP calculation buffer. EMA Trend – Uses EMA 9/21 crossover for trend. Break of Structure (BoS) – Requires structure break confirmation. Order Block (OB) – Validates trades within OB zones. Fair Value Gap (FVG) – Confirms trades inside FVGs. Liquidity Sweep – Checks if liquidity zones are swept. Pin Bar Confirmation – Uses candlestick patterns for extra confirmation. Pin Bar Body Ratio – Controls strictness of Pin Bar filter. Higher Timeframe Filters (HTF) HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend. HTF BoS – Confirms with higher timeframe structure break. HTF Timeframe – Selects higher timeframe. Advanced Filters SuperTrend Filter – Confirms trades based on SuperTrend. ADX Filter – Filters out low volatility periods. SMA Cross Filter – Uses SMA 8/9 cross as filter. Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter. 4. How It Works Buy Signal Conditions EMA 9 > EMA 21 (trend bullish) Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled. When all active filters pass → Buy signal triggers. Sell Signal Conditions EMA 9 < EMA 21 (trend bearish) Same filtering process but for bearish conditions. When all active filters pass → Sell signal triggers. 5. Trade Execution & Management When a signal triggers: Lot size is auto-calculated based on risk % and SL distance. SL is placed beyond recent swing high/low + ATR buffer. TP1 and TP2 are calculated from the SL using the reward-to-risk ratio. Break Even: If enabled, SL moves to entry price after TP1 is hit. Partial Close: If enabled, half of the position closes at TP1. Trade Exit: Full exit at TP2, SL hit, or partial close at TP1. 6. Chart Display Entry Line – Shows entry price. SL Line – Red dashed line at stop loss level. TP1 Line – Lime dashed line for TP1. TP2 Line – Green dashed line for TP2. PnL Labels – Displays real-time profit/loss in $. Trade Box – Visual area showing trade range. Pin Bar Shapes – Optional, marks Pin Bars. 7. Statistics Panel Stats Header – Shows “Stats”. Total Trades Wins Losses Breakeven Trades Total PnL Can be reset or filtered by date. 8. How to Use Load the Indicator in TradingView. Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m). Adjust settings: Use default gold scalping settings for quick start. Enable/disable filters according to your style. Wait for a Buy/Sell alert. Confirm visually that all desired conditions align. Place trade with calculated lot size, SL, and TP levels shown on chart. Let trade run – the indicator manages Break Even & Partial Close if enabled. 9. Recommended Timeframes Scalping: 1m, 5m, 15m Day Trading: 15m, 30m, 1H Swing: 4H, Daily (adjust settings accordingly)
Indicatore Pine Script®
di aymanshraideh