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SoftWork.NgThis indicator is designed to help traders easily spot market trends and trade entry opportunities, even if you're just getting started. 🔍 How It Works: Trend Detection with Moving Averages: The indicator uses two moving averages to detect the overall trend. When the trend is bullish (uptrend), the chart background turns green. When the trend is bearish (downtrend), the background turns red. This gives you a quick visual cue about the market direction. Multi-Timeframe Analysis (MFT): It checks higher and lower timeframes to confirm trade setups. This helps filter out false signals and ensures that entries are made with the overall trend, not against it. Entry Signals: The indicator looks for strong signals (like a crossover or confirmation condition) on a lower timeframe when the trend on a higher timeframe agrees. This means you only get trade signals when both timeframes are aligned. ✅ Why Use This Indicator: No need to manually check multiple charts or draw complicated setups. Ideal for beginners who want a simple, visual way to understand market structure. Helps you stay on the right side of the market and avoid emotional trades. 💡 Use this indicator as part of a complete trading plan. Always combine it with proper risk management and backtesting.
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SoftWorking tarafından
Fake green bar retracementThis indicator identifies potential bearish reversal setups by combining momentum triggers, weak buyer volume confirmation, and delta-based retracement logic. A sell signal is generated when: Momentum shows signs of exhaustion. A red candle forms after the momentum trigger. Buyer strength appears weak based on volume analysis. Cumulative delta confirms retracement pressure. All earlier green candles in the session show subdued volume participation, suggesting a fake breakout or trap. The setup is useful for spotting false bullish pushes where buying volume fails to support the price move, followed by a retracement candle that confirms selling pressure. A signal appears as a downward triangle above the triggering candle. Alerts are built in for easy automation. ✅ Best Suited For: Intraday traders Momentum reversal strategies Volume-based confirmation setups
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rbankar tarafından
Deviation from EMA & VWAPThis indicator displays the real-time percentage deviation of price from both the EMA and VWAP. 🔹 EMA Deviation is shown as a smooth blue line 🟧 VWAP Deviation is shown as an orange histogram 📉 Use it to spot overbought/oversold conditions or sharp impulse moves 🔔 Built-in alerts for extreme deviations 🎯 Fully customizable: EMA length, deviation thresholds, VWAP toggle, and more Ideal for identifying counter-trend setups and price extremes across all timeframes.
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alex.kurshalow tarafından
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® göstergesi
CipherDecoded tarafından
Volatility Break + Trend Bias Scalper [Enhanced Visuals]Volatility Break + Trend Bias Scalper \ Overview This strategy is designed to help traders catch high-probability breakout moves by combining real-time volatility surges with higher timeframe trend confirmation. It is particularly useful in markets like AAPL, BTC, NASDAQ, and Forex pairs where volatility and momentum often occur in bursts. 📈 Strategy Logic 🎯 1. Volatility Spike Detection The core entry trigger is based on identifying sudden ATR-based volatility bursts: * ATR(7) is compared to its EMA(14) smoothing. * A volatility spike is confirmed when ATR exceeds `1.5x` the smoothed ATR. This helps avoid entering during sideways price action and focuses only on explosive breakouts. 🧭 2. Higher Timeframe Trend Filter To improve signal quality, the strategy checks the EMA(200) slope from a higher timeframe (e.g., 15min while trading on 3/5/45min charts): * Bullish trend: EMA rising * Bearish trend: EMA falling This ensures we only trade in the direction of larger momentum. 🧠 3. Structure Break Entry A simple but effective price action confirmation: * Long: Close > highest close of the last 2 candles * Short: Close < lowest close of the last 2 candles This avoids "fake" moves and choppy zones. 🎛️ 4. Risk/Reward and Exit Logic * Take Profit (TP) = 1.5× ATR (configurable) * Stop Loss (SL) = 1.0× ATR (configurable) * You can adjust this for more aggressive or conservative setups. ✅ All exits are calculated dynamically using the current ATR at trade entry. 🖥️ Visual Enhancements This version includes: ✅ Signal markers (🔴 for Short, 🟢 for Long) ✅ Trend-colored background zones ✅ TP/SL lines drawn on chart ✅ Toggle options to enable/disable labels and TP/SL lines These visuals help traders quickly validate signals, backtest more effectively, and share setups with clarity. 🧪 Backtest Settings * Position Size: 1% of equity * Commission: 0 * Slippage: Assumed minimal * Recommended Markets: AAPL (45m), BTCUSD (5m–15m), NAS100 (15m), EUR/USD (5m) > You can tune the strategy further using `PineScriptsAI`. ⚠️ Disclaimer This strategy is for **educational purposes only**. It does **not constitute financial advice** or guarantees of profitability. Backtest results may vary across assets, timeframes, and market conditions. Always validate with forward testing and sound risk management. 🔗 Built With Help From PineScriptsAI Want to build your own version or add: * Time filters (e.g., NY or London session)? * Multi-take-profits or trailing stop? * Auto alert bots to Telegram/Discord?
Pine Script® stratejisi
AIScripts tarafından
CHN BUY SELL with EMA 200Overview This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam. Key Features Colored Candles: Visual momentum indicators based on RSI 7 levels Trend Filtering: EMA 200 confirms overall market direction Signal Cooldown: Prevents over-trading with adjustable waiting periods Clean Interface: Simple BUY/SELL labels without clutter How It Works Candle Coloring System Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum) Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum) Normal Candles: All other market conditions Trading Signals BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears Signal Cooldown After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets. Settings RSI 7 Length: Period for RSI calculation (default: 7) RSI 7 Overbought: Threshold for yellow candles (default: 70) RSI 7 Oversold: Threshold for purple candles (default: 30) EMA Length: Period for trend filter (default: 200) Signal Cooldown: Candles to wait between same signal type (default: 5) How to Use Apply the indicator to your chart Look for yellow or purple colored candles For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears Use appropriate risk management and position sizing Best Practices Works best on timeframes M15 and higher Suitable for Forex, Gold, Crypto, and Stock markets Consider market volatility when setting stop-loss and take-profit levels Use in conjunction with proper risk management strategies Technical Details Overlay: True (plots directly on price chart) Calculation: Based on RSI momentum and EMA trend analysis Signal Logic: Combines momentum exhaustion with trend direction Visual Feedback: Colored candles provide immediate market condition awareness
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CHNTeam tarafından
M2 Lag Correlation | QuantumResearch🧠 M2 Lag Correlation | QuantumResearch Global M2 vs. Asset Lagged Correlation Dashboard Measuring delayed macroeconomic impact across regions and asset classes 🌍 Why Is It Unique? This is the first macro-financial correlation tool on TradingView that tracks and aggregates lagged money supply (M2) data across 20 global economies, FX-adjusted into USD equivalence, and overlays it against your selected chart (BTC, ETH, SPX, etc.). It does more than just plot macro data — it quantifies the delayed correlation between asset price action and macro liquidity trends, providing a unique macro-lag insight tool for serious analysts and long-term investors. 📌 What It Does: Computes the global M2 aggregate using 20 region-specific M2 datasets, normalized via local exchange rates Lets you shift the M2 data forward using a customizable day offset (default: 96D) to model macro lag effects Calculates rolling Pearson correlation between your charted asset and the lagged M2 line Outputs correlation scores across four windows: 🟢 30D (Monthly) 🟢 90D (Quarterly) 🟢 182D (Semester) 🟢 365D (Yearly) ➕ Includes a composite Average Score Displays values in a clean dashboard-style table with color-coded feedback 🔍 Use Cases: Detect how macro liquidity expansion or contraction influences your asset Determine the macro lag window — the period after which monetary supply affects asset prices Validate cycle transitions using data-backed macro alignment Compare lag response between assets (e.g., BTC vs. ETH vs. NASDAQ) 📊 Macro Lag Insight: As of recent data: Bitcoin (BTC) shows the strongest correlation with global M2 at approximately 97 days of lag Ethereum (ETH) shows its peak correlation around 108 days of lag These lag values are not static and may evolve over time as macro conditions shift. The script allows users to explore such relationships interactively. ⚙️ Customizable Parameters: 🔄 Offset (Days) – Slide the M2 curve forward to match historical asset reactions 🎨 Color Mode – 8 color palettes to match your visual preferences 📍 Table Position – Place the correlation display wherever you want on your chart ✅ Requirements: Access to ECONOMICS and FX_IDC feeds on TradingView Chart timeframe: preferably daily or higher for macro relevance ⚠️ Disclaimer: Disclaimer: The content on this indicator is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor. Correlation does not imply causation. This tool offers macro-aligned insight, not direct price prediction. Use it alongside a broader macro and market framework.
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QuantumResearch tarafından
Advanced Lot Size Calculator📌 Name: Advanced Lot Size Calculator 🎯 Purpose: This TradingView script helps calculate and display the correct lot size for trading, based on: Your account balance Risk percentage (e.g., 1%) Stop-loss size (in pips) Currency pair exchange rate (e.g., EURAUD) 🔢 Key Inputs: 5 Account Balances (Balance 1 to Balance 5) – lets you track multiple trading accounts. Risk Percentage (%) – the percentage of the account you're willing to risk per trade. Stop Loss in Pips – size of your stop loss in pips. ⚙️ How It Works: For each account balance: It calculates how much money (in USD) you’re risking (e.g., 1% of $2000 = $20). Converts it to the local currency if needed (e.g., AUD). Divides it by the pip value and stop-loss size to determine the correct lot size. Truncates the result to 2 decimal places. It uses live exchange rates by checking the current symbol's quote currency (like AUD in EURAUD). 🧾 What It Shows (Table on the Chart): A table in the bottom-right corner with the following columns: Cash $ – the account balance % Risc – your selected risk percentage Lot – the calculated lot size for that account 🎨 Color Coding: The Lot size text changes color based on the selected risk: 🟢 Green if risk is ≤ 1% → safe risk 🟠 Orange if risk is > 1% and ≤ 2% 🔴 Red if risk is > 2% → high risk ✅ Use Case: Ideal for day traders or swing traders who: Use multiple accounts Want quick, reliable lot size calculation based on strict risk management Trade pairs like EURAUD, USDJPY, etc., and want automatic exchange rate handling Let me know if you'd like to: Set different risk percentages per account Show risk in dollars Hide accounts with 0 balance automatically
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ApostolFx tarafından
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC) Overview The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy. Key Differences from Standard Channels Weighted vs. Equal: Prioritizes significant events over uniform weighting Dynamic vs. Static: Adapts in real time to market changes Accurate vs. Basic: Reduces noise, enhances signal clarity Customizable vs. Fixed: Full control over weights and visuals Weighting Methods Direction Change – Highlights reversal points via local peaks/troughs Volume-Based – Emphasizes high-volume candles, ideal for breakouts Price Range – Weights wide-range candles to capture volatility Time Decay – Prioritizes recent data for current market relevance Interactive Features Data Range: Set channel start/end over 1–500 bars Visuals: Line styles, color coding, fill options, reference lines Stats: Slope, R², standard deviation, point count, weight method Technical Implementation Weighted Regression Formula: Uses weights for slope, intercept, and deviation Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier Usage Scenarios Trend Analysis: Use Direction Change + longer range Breakouts: Use Volume weighting + fill + boundary watching Volatility: Apply Price Range weighting + monitor standard deviation Current Market: Use Time Decay + shorter ranges + stat display Parameter Tips Channel Width: Narrow (1.0–1.5): Responsive Standard (1.5–2.0): Balanced Wide (2.0–3.0+): Conservative Weighting Intensity: Conservative (1.5–2.0) Moderate (2.0–3.0) Aggressive (3.0+) Advanced Use Multi-Timeframe: Use different weightings per timeframe Market Structure: Detect swings, institutional zones Risk Management: Dynamic S/R levels, volatility-driven sizing Best Practices Start with Direction Change Test different ranges Monitor stats Combine with other indicators Adjust to market context Recalibrate regularly Conclusion WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
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ikendler tarafından
1
Congestion Indicator - Oscillator by saurabh maggoCore Functionality Market State Detection: Congestion: Identifies periods of low volatility (price consolidation) where the price range is tight relative to the Average True Range (ATR). Visualized with a blue background in the oscillator panel. Breakout Up: Detects upward breakouts from congestion zones, requiring conditions like price movement above the congestion high, volume spikes, and volatility increases. Visualized with a green background. Breakdown (Breakout Down): Detects downward breakouts from congestion zones, with similar conditions as Breakout Up but for downward movement. Visualized with a red background. Post-Congestion: Identifies the period after a congestion zone ends but before a breakout occurs (if extend_until_breakout is disabled). Visualized with a yellow background. Pullback: Detects pullbacks after breakouts or breakdowns, useful for identifying potential entry points (if use_pullback_entry is enabled). Visualized with a purple background. Visualization: Oscillator Panel: Displays the market state in a separate panel below the chart. Background Color: The panel’s background color changes to reflect the current state (e.g., blue for Congestion, green for Breakout Up). Histogram Plot: Optionally plots the state value as a histogram (e.g., 1 for Congestion, 2 for Breakout Up), toggleable via TradingView’s "Style" tab ("Market State"). The histogram provides a numerical representation of the state: Congestion: 1.0 Breakout Up: 2.0 Breakdown: -2.0 Post-Congestion: 0.5 Pullback: 1.5 None: 0.0 Alerts: Generates alerts for state changes (Congestion, Breakout Up, Breakdown). Supports enhanced alerts (if use_enhanced_alerts is enabled), including additional context like breakout level, volatility state, and trend direction. Includes an alert cooldown period (if use_alert_cooldown is enabled) to prevent excessive alerts. Key Features and Filters Customizable Parameters: Lookback Period: Adjusts the number of bars used to calculate the price range for congestion detection. Range Threshold: Sets the maximum price range (as a percentage of ATR) for a congestion zone. Dynamic Threshold: Optionally uses a percentile-based dynamic threshold for more adaptive congestion detection. Minimum Congestion Bars: Requires a minimum number of bars for a congestion zone to be confirmed. Volume Filter: Optionally requires low volume during congestion zones. Volume Breakout Filter: Requires a volume spike for breakouts/breakdowns. Volatility Breakout Filter: Requires an ATR spike for breakouts/breakdowns. Minimum Price Movement: Optionally requires a minimum price movement for breakouts/breakdowns. RSI Filter: Optionally requires RSI to be in a neutral range during congestion. Max Price Range Filter: Limits the absolute price range for congestion zones. Trend Filter: Optionally filters breakouts/breakdowns based on a higher timeframe trend (using a moving average). Momentum Filter: Optionally requires MACD momentum confirmation for breakouts/breakdowns. Pullback Detection: Optionally detects pullbacks after breakouts/breakdowns for entry opportunities. Timeframe Adjustment: Adjusts parameters based on the chart’s timeframe. Auto-Settings: Automatically adjusts parameters based on market volatility. Show Current Day Only: Optionally limits the indicator’s display to the current trading day (NSE session). Presets: Offers predefined configurations (Default, Aggressive, Conservative) for quick setup. Session Support: Operates within the NSE session (9:15 AM–3:30 PM IST) by default, ensuring relevance for Indian markets. Visual Output The oscillator panel uses color-coded backgrounds to indicate the market state: Blue: Congestion Green: Breakout Up Red: Breakdown Yellow: Post-Congestion Purple: Pullback Transparent (None): No state detected The histogram plot (optional) provides a numerical representation of the state, which can be toggled on/off in TradingView’s settings. Alerts Alerts are triggered for significant state changes (Congestion, Breakout Up, Breakdown). Enhanced alerts include additional details like price levels, volatility, and trend direction, making them more informative for traders. Step 2: Craft the Description for Publishing Based on the analysis, here’s a concise, user-friendly description you can use when publishing the indicator on TradingView: Congestion Indicator - Oscillator by Saurabh Maggo This indicator identifies market congestion zones, breakouts, breakdowns, post-congestion periods, and pullbacks in a separate oscillator panel below your chart. Designed for traders, it helps you spot key market states and potential trading opportunities with clear visual cues and customizable alerts. Key Features: Market States: Detects Congestion (Blue), Breakout Up (Green), Breakdown (Red), Post-Congestion (Yellow), and Pullbacks (Purple). Visual Display: Shows market states using background colors in an oscillator panel, with an optional histogram plot (toggleable in settings). Alerts: Generates alerts for state changes, with enhanced options to include price levels, volatility, and trend context. Customizable Filters: Includes volume, volatility, RSI, trend, momentum, and price movement filters to refine signals. Adaptable Settings: Supports dynamic thresholds, timeframe adjustments, auto-settings based on volatility, and predefined presets (Default, Aggressive, Conservative). NSE Session: Optimized for Indian markets with a default session time of 9:15 AM–3:30 PM IST. How can Grok help?
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srbhmaggo tarafından
Golden Canyon Pace 📈 Indicator Name: Golden Canyon pace Platform: Trading View' Version: 1.0' 🔍 Overview: This indicator is designed for traders who want to capture small but strategic Renko-based price movements. It focuses on short-term reversals or momentum shifts by analyzing recent Renko bar behavior, plotting 'Buy' and 'Sell' labels directly on the chart when specific conditions are met. Unlike long-term trend indicators, this tool provides 'quick-entry insights' , ideal for scalpers, intraday traders, or those who want to catch micro-trends. 🧠 How It Works: * The script checks for 'short-term reversal conditions' in the Renko structure: * A 'Buy signal' is triggered when recent bars suggest a bullish reversal. * A 'Sell' signal is triggered when recent bars indicate a bearish reversal. * Signals are labeled directly on the chart with color-coded markers: * 🟢 Buy = Green label with black text * 🔴 Sell = Red label with black text * The labels appear only when valid setups occur, helping you avoid unnecessary noise. ⚙️ Key Features: * 'Renko-Based Signal Logic:' Designed to work best on charts using Renko or synthetic candle structures. * 'Minimalistic Labels:' Only essential signals appear—no clutter. * 'Unified Alert Condition:' You only need to set up 'one alert' on TradingView for both Buy and Sell signals. The alert will automatically notify you of either event. * 'Customizable Colors:' Easily change background or label colors to match your chart setup. * 'Works on All Timeframes:' But is most effective on time-compressed views or custom Renko timeframes. 📋 Instructions for Use: 1. 'Add the indicator' to your chart. 2. Adjust Renko settings (if applicable) to match your strategy. 3. Customize colors under the “Style” tab (default label text is black). 4. Set your alert: * Right-click the chart → “Add Alert” * Choose the alert condition: “functional calls” * Select your preferred notification method (popup, email, webhook, etc.) * Done! You’ll be alerted for either a Buy or Sell opportunity. 🚨 Alerts Setup (One Alert for Both Directions): To streamline your workflow, this script includes 'one combined alert condition' that fires on either a Buy or Sell signal. This simplifies alert management and ensures you never miss a setup. 📌 Important Notes: * This indicator is intended as a 'signal assistant', not a full trading strategy. Use it in combination with your own risk management and market context. * Works best when used with 'non-time-based Renko charts' or synthetic candle setups that mimic clean price movement. * You can further refine signals by combining this tool with trend filters or volume indicators. 💬 Support: If you need help customizing the tool, understanding the signals, or integrating it into your strategy, feel free to reach out for assistance.
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Canyon_Pace tarafından
WX ZeroLoss｜TP / SL 模組（單組自動刪除版） 📌 模組簡介： WX ZeroLoss 是 Wallen 系列策略模組中第一個正式上架的版本，內建： - 停利倍率控制（TP = RR × SL） - 自動 ATR 計算停損距離 - 多單 / 空單的 TP / SL 畫線提示 - 多單 / 空單的浮標視覺提示 WX ZeroLoss is a visual indicator for managing TP and SL lines. It shows one active pair of Take-Profit and Stop-Loss, including price lines and floating labels. Only one latest signal is kept on chart. Source code is protected. Feedback welcome!
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WallenK tarafından