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Candlestick analysis

Multi Time Frame Supporting Candles (with EMA/VWAP)Overview This script provides a clean and, most importantly, correctly-scaled Multi-Time-Frame (MTF) analysis panel. It displays the candles of a higher timeframe (e.g., 1-hour candles while you are on a 5-minute chart) in a separate pane below your main chart. Crucially, it solves a common Pine Script scaling issue, allowing you to plot indicators like EMA and VWAP from the higher timeframe alongside the candles without distorting the display. This tool is essential for traders who practice Multi-Time-Frame Analysis, helping you stay aware of the larger trend context while executing trades on a lower timeframe.
Penunjuk Pine Script®
oleh noobgoo
Momentum Adaptive RSI Description of the Momentum Adaptive RSI Indicator: The provided Pine Script implements a custom RSI-based trading indicator designed to identify momentum and trend direction by calculating the Relative Strength Index (RSI) with flexible smoothing options and adaptive or fixed overbought/oversold thresholds. Similar in spirit to the Gaussian Volatility Adjusted Indicator, this script focuses on smoothing price momentum using various moving average types (e.g., SMA, EMA, ALMA) and incorporates dynamic thresholding to generate clear buy and sell signals, making it suitable for trend-following, momentum trading, or reversal strategies. How It Works RSI Calculation: Computes the RSI based on the closing price with a user-defined period (default: 10). Optionally applies smoothing to the RSI using a selected moving average type (e.g., SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, or ALMA) with a configurable length (default: 10) and, for ALMA, a sigma parameter (default: 15). Users can toggle smoothing on/off (default: enabled) to use either the raw RSI or the smoothed version. Threshold Settings: Fixed Thresholds: Default overbought (60) and oversold (50) levels can be set manually. Adaptive Thresholds: Optionally calculates dynamic thresholds using the percentile method (default: 10th/90th percentiles) over a user-defined period (default: 50). This adapts the overbought/oversold levels based on the historical distribution of RSI values, improving responsiveness to market conditions. Users can toggle between fixed and adaptive thresholds (default: fixed). Signal Generation: Buy Signal: Triggered when the RSI (smoothed or raw) crosses above the overbought threshold. Sell Signal: Triggered when the RSI crosses below the oversold threshold. A state-tracking mechanism ensures persistent signal states for consistent visualization. Visual Representation: RSI Plot: Displays the RSI (smoothed or raw) with dynamic coloring: green above the overbought threshold, red below the oversold threshold, and gray otherwise. Threshold Lines: Plots the overbought and oversold levels (fixed or adaptive) and a middle line at 50 for reference. Background and Bar Coloring: Applies user-defined colors (default: green for buy, red for sell) to the chart background and price bars based on the signal state, enhancing visual clarity for trading decisions.
Penunjuk Pine Script®
oleh SurgeQuant
Volume Imbalance# Volume Imbalance Indicator ## Description The Volume Imbalance Indicator is a technical analysis tool that measures the imbalance between bullish and bearish volume over a specified period. This indicator helps traders identify the prevailing market sentiment and potential reversal points. ## How It Works The indicator analyzes trading volume for each candle: - **Bull Volume** - volume of candles where the closing price is higher than the opening price (green candles) - **Bear Volume** - volume of candles where the closing price is lower than the opening price (red candles) - **Imbalance** is calculated as the difference between the sum of bull volume and bear volume over the set period ## Signal Interpretation - **Positive values (green histogram)** - bullish volume dominates, indicating buyer strength - **Negative values (red histogram)** - bearish volume dominates, indicating seller strength - **Zero line** - equilibrium between buyers and sellers ## Trading Applications 1. **Trend Confirmation** - imbalance in the direction of the trend confirms its strength 2. **Divergence Analysis** - divergence between price and indicator may signal potential reversals 3. **Accumulation/Distribution Zones** - prolonged periods of imbalance indicate large player activity ## Settings - **Period** - number of candles for calculating the imbalance (default: 20) ## Features - Displays in a separate panel below the main chart - Histogram format for better visualization - Color coding: green for bullish imbalance, red for bearish imbalance - Suitable for all timeframes and trading instruments This indicator is particularly effective when combined with other technical analysis tools for comprehensive market assessment.
Penunjuk Pine Script®
oleh ValeriiHes
Volume Pressure Analysis - Live DataVolume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour. ________________________________________ Key Functional Segments 1. Inputs and Configuration Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts. 2. Volume Data Calculations The indicator calculates three key volume metrics: • volToday: The current day’s volume. • volAvg: The average volume over the user-defined SMA period (default is 20 bars). • volPct: The current volume as a percentage of the average. This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness. 3. Volume Pressure Calculation The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session. 4. Visual Representation (Progress Bars) The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth. 5. Table Display A compact table is drawn on the chart showing: • Buy pressure percentage and corresponding bar. • Sell pressure percentage and corresponding bar. • Volume percentage compared to the recent average. This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays. ________________________________________ How Traders Benefit from This Indicator • Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction. • Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves. • False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries. • Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive. ________________________________________ Basic Usage Guide 1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison. 2. Customize the table’s position using the X and Y settings for clarity and alignment. 3. Interpret the outputs: o A higher red bar indicates dominant sell pressure. o A higher green bar indicates dominant buy pressure. o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction. 4. Apply to trading decisions: o High buy pressure and high volume may indicate a strong long opportunity. o High sell pressure and high volume may support short setups. o Low volume or conflicting signals may call for caution. 5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups. ________________________________________ Practical Example • Sell Pressure: 70% → Suggests strong seller control; potential for short setups. • Buy Pressure: 30% → Weak buying interest; long trades may carry risk. • Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity. ________________________________________ Tips for New Traders • Use this indicator as a confirmation tool rather than a standalone strategy. • Begin on higher timeframes (4-hour or daily) to develop familiarity. • Compare multiple examples to identify reliable patterns over time. • Always incorporate proper risk management, including stop losses. ________________________________________ Disclaimer from aiTrendview This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
Professional Technical Analysis DashboardProfessional Technical Analysis Dashboard – Complete Guide This script is an advanced technical analysis dashboard built in Pine Script v5. It integrates 16 widely used technical indicators into a single, structured display designed for traders who need a consolidated view of market sentiment. The dashboard is divided into three key sections – Summary, Oscillators, and Moving Averages – enabling users to assess momentum, trends, and overall market bias in real-time. ________________________________________ Technical Foundation and Methodology Summary Section – Combined Market Signal The Summary section aggregates all 16 indicators (8 oscillators and 8 moving averages) to generate a combined score that reflects market sentiment. Each indicator contributes equally to the score. The combined signal ranges from -16 (strong sell) to +16 (strong buy), with thresholds defining zones such as Strong Buy, Buy, Neutral, Sell, and Strong Sell. This approach allows traders to quickly interpret overall market conditions without analyzing each indicator individually. Oscillators Section – Momentum Analysis This section tracks short-term momentum and overbought/oversold conditions using eight oscillators: RSI, Stochastic Oscillator, CCI, Williams %R, MACD, Momentum, Rate of Change (ROC), and Bollinger Bands. Each oscillator follows its conventional logic (e.g., RSI > 70 indicating overbought conditions) and is displayed alongside a visual indicator for quick assessment. This section is particularly effective for identifying potential reversals or timing short-term trades in range-bound markets. Moving Averages Section – Trend Analysis The trend analysis section uses five Simple Moving Averages (SMA 10, 20, 50, 100, 200) and three Exponential Moving Averages (EMA 10, 20, 50) to assess trend direction and strength across multiple timeframes. Price is compared to each moving average to determine a bullish, neutral, or bearish signal. For example, a price well above the 200-day SMA indicates a strong long-term uptrend. ________________________________________ How to Use the Dashboard Setup: 1. Paste the script into TradingView’s Pine Editor. 2. Add it to your chart. 3. Choose a timeframe suited to your strategy (e.g., 5–15 minutes for scalping, 1 hour for day trading, daily for long-term analysis). 4. Configure visual preferences such as table size and color scheme from the settings menu. Signal Interpretation: • A "Strong Buy" in the Summary combined with bullish Oscillators and Moving Averages suggests a high-probability long setup. • Conflicting signals (e.g., bullish Summary but bearish Oscillators) may warrant waiting for alignment before taking a position. • Position sizing can be adjusted based on the intensity of the combined signals. Trading Strategies: • Confirmation Trading: Enter trades only when all three sections align in the same direction. • Scalping: Use oscillators for overbought/oversold setups, combined with short-term moving averages for trend confirmation. • Trend Following: Use the Moving Averages section to identify sustained directional bias and follow pullbacks signaled by oscillators. ________________________________________ Risk Management Guidelines The dashboard is not a trading system but an analytical tool. Users can enhance their risk management by: • Allocating capital based on signal strength (e.g., stronger signals justify slightly larger positions). • Using stop losses tied to volatility or moving averages. • Reducing position size during conflicting signals or low-confidence readings. • Avoiding trades when signals are below 50% strength or in mixed zones. ________________________________________ Best Practices and Common Pitfalls • Always wait for confirmation across sections before entering trades. • Avoid over-leveraging based on a single signal. • Use appropriate timeframes – intraday traders should rely on shorter timeframes, while swing traders may focus on hourly or daily charts. • Keep a trading journal to monitor the effectiveness of signals and refine strategies over time. ________________________________________ Disclaimer from aiTrendview This script is intended solely for educational and informational purposes. It does not provide investment advice, trading signals, or guaranteed outcomes. aiTrendview and its affiliates are not liable for any financial losses incurred while using this script. All trading involves risk, and past performance of any technical indicator does not guarantee future results. Users are strongly advised to conduct independent research or consult with a licensed financial advisor before making any trading decisions.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail. 1. General Description Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions. Key Features: Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes. Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses. Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes. Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold). Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle). Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results). Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio. Strategy Settings: Initial capital: $10,000. Pyramiding: Up to 3 positions. Position size: 10% of equity (default_qty_value=10). Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management. Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading. 2. Working Logic (Step by Step) The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works: a. Input Parameters The inputs are grouped for clarity: Herd Behavior (🐑): RSI Period (14): For overbought/oversold detection. Volume MA Period (20): To calculate average volume for spike detection. Herd Threshold (2.0): Volume multiplier for detecting herd activity. Liquidity Analysis (💧): Liquidity Lookback (50): Bars to check for recent highs/lows. Liquidity Sensitivity (1.5): Volume multiplier for trap detection. Institutional Flow (🏦): Institutional Volume Multiplier (2.5): For detecting large volume spikes. Institutional MA Period (21): For Accumulation/Distribution smoothing. Nash Equilibrium (⚖️): Nash Period (100): For calculating price mean and standard deviation. Nash Deviation (0.02): Multiplier for equilibrium bands. Risk Management (🛡️): Use Stop-Loss (true): Enables SL at 2% below/above entry price. Use Take-Profit (true): Enables TP at 5% above/below entry price. b. Herd Behavior Detection RSI (14): Checks for extreme conditions: Overbought: RSI > 70 (potential herd buying). Oversold: RSI < 30 (potential herd selling). Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold). Momentum: Price change over 10 bars (close - close ) compared to its SMA(20). Herd Signals: Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background). Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background). c. Liquidity Trap Detection Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback). Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones. Trap Conditions: Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5). Down Trap: Price breaks recent low, closes above it, with a volume spike. Visualization: Traps are marked with small red/green crosses above/below bars. d. Institutional Flow Analysis Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity. Accumulation/Distribution (AD): Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time. Smoothed with SMA(21) (inst_ma_length). Accumulation: AD > MA + high volume = Institutions buying. Distribution: AD < MA + high volume = Institutions selling. Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying. e. Nash Equilibrium Calculation: Price mean: SMA(100) (nash_period). Standard deviation: stdev(100). Upper Nash: Mean + StdDev x 0.02 (nash_deviation). Lower Nash: Mean - StdDev x 0.02. Conditions: Near Equilibrium: Price between upper and lower Nash bands (stable market). Above Nash: Price > upper band (overbought, sell potential). Below Nash: Price < lower band (oversold, buy potential). Visualization: Orange line (mean), red/green lines (upper/lower bands). f. Game Theory Signals The strategy generates three types of signals, combined into long/short triggers: Contrarian Signals: Buy: Herd selling + (accumulation or down trap) = Go against retail panic. Sell: Herd buying + (distribution or up trap). Momentum Signals: Buy: Below Nash + positive smart money + no herd buying. Sell: Above Nash + negative smart money + no herd selling. Nash Reversion Signals: Buy: Below Nash + rising close (close > close ) + volume > MA. Sell: Above Nash + falling close + volume > MA. Final Signals: Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy. Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell. g. Position Management Position Sizing (Minimax Principle): Default: 1.0 (10% of equity). In Nash equilibrium: Reduced to 0.5 (conservative). During institutional volume: Increased to 1.5 (aggressive). Entries: Long: If long_signal is true and no existing long position (strategy.position_size <= 0). Short: If short_signal is true and no existing short position (strategy.position_size >= 0). Exits: Stop-Loss: If use_sl=true, set at 2% below/above entry price. Take-Profit: If use_tp=true, set at 5% above/below entry price. Pyramiding: Up to 3 concurrent positions allowed. h. Visualization Nash Bands: Orange (mean), red (upper), green (lower). Background Colors: Herd buying: Red (90% transparency). Herd selling: Green. Institutional volume: Blue. Signals: Contrarian buy/sell: Green/red triangles below/above bars. Liquidity traps: Red/green crosses above/below bars. Tables: Game Theory Table (Top-Right): Herd Behavior: Buying frenzy, selling panic, or normal. Institutional Flow: Accumulation, distribution, or neutral. Nash Equilibrium: In equilibrium, above, or below. Liquidity Status: Trap detected or safe. Position Suggestion: Long (green), Short (red), or Wait (gray). Backtest Table (Bottom-Right): Total Trades: Number of closed trades. Win Rate: Percentage of winning trades. Net Profit/Loss: In USD, colored green/red. Profit Factor: Gross profit / gross loss. Max Drawdown: Peak-to-trough equity drop (%). Win/Loss Trades: Number of winning/losing trades. Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown). Avg Win/Loss Ratio: Average win per trade / average loss per trade. Last Update: Current time. i. Backtesting Metrics Tracks: Total trades, winning/losing trades. Win rate (%). Net profit ($). Profit factor (gross profit / gross loss). Max drawdown (%). Simplified Sharpe ratio (returns / drawdown). Average win/loss ratio. Updates metrics on each closed trade. Displays a label on the last bar with backtest period, total trades, win rate, and net profit. j. Alerts No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")). Use TradingView's alert system with Strategy Tester outputs. 3. Usage Tips Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals. Settings: Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping). Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets. Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto). Nash Period: Increase to 200 for longer-term analysis. Backtesting: Use TradingView's Strategy Tester to evaluate performance. Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability. Test on different assets/timeframes to ensure robustness. Live Trading: Start with a demo account. Combine with other indicators (e.g., EMAs, support/resistance) for confirmation. Monitor liquidity traps and institutional flow for context. Risk Management: Always use SL/TP to limit losses. Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading). Avoid over-leveraging (pyramiding=3 can amplify risk). Troubleshooting: If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity). Ensure sufficient historical data for Nash and liquidity calculations. If tables overlap, adjust position.top_right/bottom_right coordinates. 4. Key Differences from the Previous Indicator Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting. Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones. Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns. Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator. Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy. Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator. 5. Conclusion The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management. If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Strategi Pine Script®
oleh EfeErdost
Mig Trade Model - Kill Zones Key features: Liquidity Hunt Detection: Spots aggressive moves that "hunt" stops beyond recent swing highs/lows. Consolidation Filter: Requires 1-3 small-range candles after a hunt before confirming with a strong candle. Bias Application: Uses daily open/close to auto-detect bias or allows manual override. Kill Zone Restriction: Limits signals to London (default: 7-10 AM UTC) and NY (default: 12-3 PM UTC) sessions for better relevance in active markets. This strategy is inspired by smart money concepts (SMC) and ICT (Inner Circle Trader) methodologies, aiming to capture venom-like "stings" in price action where liquidity is grabbed before reversals. How It Works ATR Calculation: Uses a user-defined ATR length (default: 14) to measure volatility, which scales candle body and range thresholds. Bias Determination: Auto: Compares daily close to open (bullish if close > open). Manual: User selects "Bullish" or "Bearish." Strong Candles: Bullish: Green candle with body > 2x ATR (configurable). Bearish: Red candle with body > 2x ATR. Small Range Candles: Candles where high-low < 0.5x ATR (configurable). Liquidity Hunt: Bullish Hunt: Strong bearish candle making a new low below the past swing low (default: 10 bars). Bearish Hunt: Strong bullish candle making a new high above the past swing high. Signal Generation: After a hunt, counts 1-3 small-range candles. Confirms with a strong candle in the opposite direction (e.g., strong bullish after bearish hunt). Resets if >3 small candles or an opposing strong candle appears. Kill Zone Filter: Checks if the current bar's time (in UTC) falls within London or NY Kill Zones. Only allows final "Buy" (bullish entry) or "Sell" (bearish entry) if bias matches and in Kill Zone. Plots: Yellow circle (below): Bullish liquidity hunt. Orange circle (above): Bearish liquidity hunt. Blue diamond (below): Raw bullish signal. Purple diamond (above): Raw bearish signal. Green triangle up ("Buy"): Filtered bullish entry. Red triangle down ("Sell"): Filtered bearish entry. Inputs Bias: "Auto" (default), "Bullish", or "Bearish" – Controls signal direction based on daily trend. ATR Length: 14 (default) – Period for ATR calculation. Swing Length for Liquidity Hunt: 10 (default) – Bars to look back for swing highs/lows. Strong Candle Body Multiplier (x ATR): 2.0 (default) – Threshold for strong candle bodies. Small Range Multiplier (x ATR): 0.5 (default) – Threshold for small-range candles. London Kill Zone Start/End Hour (UTC): 7/10 (default) – Customize London session hours. NY Kill Zone Start/End Hour (UTC): 12/15 (default) – Customize New York session hours. Usage Tips Timeframe: Best on lower timeframes (e.g., 5-15 min) for intraday trading, especially forex pairs like EURUSD or GBPUSD. Timezone Adjustment: Inputs are in UTC. If your chart is in a different timezone (e.g., EST = UTC-5), adjust hours accordingly (e.g., London: 2-5 AM EST → 7-10 UTC). Risk Management: Use with stop-loss (e.g., beyond the hunt low/high) and take-profit based on ATR multiples. Not financial advice—backtest thoroughly. Customization: Tweak multipliers for different assets; higher for volatile cryptos, lower for stocks. Limitations: Relies on historical data; may generate false signals in ranging markets. Combine with other indicators like volume or support/resistance. This indicator is for educational purposes. Always use discretion and proper risk management in live trading. If you find it useful, feel free to share feedback or suggestions!
Penunjuk Pine Script®
oleh EfeErdost
Accumulation Phase DetectorClean Accumulation Phase Indicator — Description This TradingView indicator visually identifies the Accumulation Phase in price action, based on the Wyckoff methodology and volume-price analysis. The Accumulation Phase is where insiders or "smart money" gradually build positions before a significant price breakout. Key Features: Range Detection: The indicator calculates a price range over a configurable period (Range Length). It marks this range on the chart with red horizontal lines representing support and resistance. Volume Spike Identification: It detects unusually high volume relative to the average volume over the same period (Volume Spike Multiplier). These spikes highlight potential insider buying activity. Accumulation Phase Highlighting: When price action remains within the detected range and volume spikes occur, the indicator considers the market to be in an accumulation phase. Volume bars during this phase are colored blue for easy visualization. Campaign Start & End Labels: The indicator places a "Campaign starts" label at the beginning of the accumulation phase and a "Campaign ends - warehouse full" label when the accumulation ends. This mimics the idea that insiders fill their “warehouses” before a breakout. Breakout Detection: Once accumulation ends, the indicator monitors for a price breakout above the resistance level and places a "Breakout" label at the breakout bar. How to Use: Adjust the Range Length and Volume Spike Multiplier inputs to suit the timeframe and instrument you’re analyzing. Watch for the blue volume bars within the red range lines to identify the accumulation phase. Use the campaign labels to identify when the phase starts and ends. Watch for the breakout label as a potential entry signal.
Penunjuk Pine Script®
oleh Mikeramzee
Volatility Wick Trap — Smart Reversal EngineThe Volatility Wick Trap — Smart Reversal Engine is a precision reversal detection tool designed for traders who rely on smart money footprints, volatility compression, and liquidity wick exhaustion to time entries near market turns. 💡 Core Components: Volatility Squeeze Detection: Identifies candles where range compresses significantly compared to the 14-period average true range, highlighting potential breakout zones. Liquidity Wick Exhaustion: Detects candles with dominant upper or lower wicks, signaling failed liquidity grabs or stop hunts. Contextual EMA Filter: Uses a 21-period EMA to filter signals, improving accuracy by aligning with market structure bias. 🔍 How It Works: Green diamond lines mark bullish hidden reversal zones. Red diamond lines mark bearish hidden reversal traps. These lines only appear when volatility compresses and wick traps are confirmed within the trend context. ✅ Clean. Minimal. Tactical. Ideal for scalpers, swing traders, and smart money enthusiasts looking to fade emotional price spikes.
Penunjuk Pine Script®
oleh adonisprime
1
Daily High/Low Close Breakout - GOLD### **Daily High/Low Close Breakout Indicator** This indicator is a powerful tool for identifying potential breakout opportunities based on the previous day's price action. It's built on a unique time-based logic that defines key support and resistance levels for the trading day. --- ### **How the Indicator Works** The indicator operates in two main phases: 1. **Calculation Period (00:00 to 16:30 Tehran Time):** The indicator first observes the price action from the start of the day until 16:30. During this time, it records the highest and lowest **closing prices** of all candles. The chart background is shaded gray to visually mark this period. 2. **Trading Period (16:30 to 16:30 the next day):** At 16:30, the highest and lowest close levels are finalized and drawn as horizontal lines. These levels then become the primary breakout zones for the next 24 hours. The indicator will generate signals whenever the price crosses these lines. --- ### **Trading Signals** The indicator uses a simple and effective crossover logic for its signals: * **BUY Signal:** A signal is generated when a candle's closing price **crosses above** the high close line. * **SELL Signal:** A signal is generated when a candle's closing price **crosses below** the low close line. --- ### **Important Usage Guidelines** For optimal performance, please follow these specific recommendations: * **Timeframe:** This indicator is designed and optimized to be used exclusively on the **15-minute timeframe**. Using it on other timeframes may produce inconsistent or unreliable results. * **Primary Asset:** The logic for this indicator was developed and backtested primarily for **Gold (XAUUSD)**. Its performance and win rate have been observed to be the most consistent on this asset. * **Asset Restriction:** It is strongly recommended to **avoid using this indicator on other currency pairs or assets**, as it has not been optimized for their specific market behavior. --- ### **Disclaimer** *This indicator is provided for informational and educational purposes only. It is not financial advice. Past performance is not a guarantee of future results. All trading decisions should be based on your own research and risk analysis. Always use proper risk management.*
Penunjuk Pine Script®
oleh hassansadeghirashed