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BuyLow SellHigh Bands | ProjectSyndicate________________________________________ 📊 BuyLow SellHigh (BLSH) Bands Comprehensive Trading Guide – by ProjectSyndicate ________________________________________ 🔰 1. Introduction The BuyLow SellHigh (BLSH) Bands indicator is a powerful technical analysis tool designed for the TradingView platform. Works with any symbol. Gold/FX/indices/oil/crypto/stocks. It provides traders with a clear, visual representation of: • 📈 Overbought conditions • 📉 Oversold conditions This makes it easier to identify high-probability entry and exit points. The indicator is built on: • Dynamic price channels • Fibonacci-based zones • Color-coded market structure 💡 While the BLSH Bands can be used on Forex, Crypto, and Futures, this guide focuses on Gold (XAUUSD) using: • M5 • M15 • M30 timeframes ________________________________________ 🧠 2. Core Concepts The BLSH Bands structure is created using two key components: ________________________________________ 📐 Dynamic Price Bands • Upper and lower bands are calculated using the highest high and lowest low • Based on a user-defined lookback period (fiboPeriod) • Reflects recent volatility and price range This creates a self-adjusting channel that adapts to market conditions. ________________________________________ 🧮 Fibonacci Zones The space between the bands is divided into six Fibonacci-based zones: • 0.786 • 0.618 • 0.500 • 0.382 • 0.214 ⚠️ These are not traditional retracements — they are used to grade price extremity within the channel. ________________________________________ 🎨 Color-Coded Zones Overview Zone (Fib Level) Color Market Condition Interpretation 1.000 – 0.786 🔴 Red Extreme Overbought High reversal / pullback probability 0.786 – 0.618 🟠 Orange Overbought Selling pressure building 0.618 – 0.500 🟡 Yellow Mildly Overbought Bullish momentum weakening 0.500 – 0.382 🟢 Aqua Mildly Oversold Bearish momentum weakening 0.382 – 0.214 🔵 Deep Sky Blue Oversold Strong buying interest 0.214 – 0.000 🔷 Blue Extreme Oversold High bounce / reversal probability 🖤 Solid black separator lines ensure clean visual separation between zones for precise price location. ________________________________________ 🪙 3. Trading Strategies for XAUUSD (Gold) Gold’s volatility and respect for technical levels make it ideal for BLSH Bands strategies. ________________________________________ ⚡ M5 Timeframe – Scalping Strategy Designed for fast mean-reversion trades from extreme zones. 🟢 BUY Setup • Price enters Extreme Oversold (Blue) zone • Bullish confirmation candle appears: o Hammer o Bullish engulfing • Enter BUY 🔴 SELL Setup • Price enters Extreme Overbought (Red) zone • Bearish confirmation candle appears: o Shooting star o Bearish engulfing • Enter SELL 🎯 Take Profit: • Median band (between Yellow & Aqua) 🛑 Stop Loss: • Just outside the outer band ________________________________________ 📆 M15 Timeframe – Day Trading Strategy Balanced timeframe for higher-probability reversals. 🟢 BUY Setup • Price enters Oversold (Blue / Deep Sky Blue) • Strong bullish reversal candle closes back inside bands • Enter BUY after close 🔴 SELL Setup • Price enters Overbought (Red / Orange) • Bearish reversal candle closes back inside bands • Enter SELL after close 🎯 Take Profit (Multi-Target): 1. Median band 2. Opposite extreme band 🛑 Stop Loss: • Beyond high/low of confirmation candle ________________________________________ 🔄 M30 Timeframe – Swing Trading Strategy Used for identifying major swing points. 🔍 Trend Filter • Use 100 or 200 EMA • Trade only in trend direction 🟢 Uptrend • Buy pullbacks into Oversold zones 🔴 Downtrend • Sell rallies into Overbought zones 📉 Confirmation: • Band rejection • RSI or MACD divergence 🎯 Take Profit: • Previous structure levels • Opposite band extreme 🛑 Stop Loss: • Below / above recent swing high or low ________________________________________ 🚨 4. Alerts System Alerts are disabled by default to keep charts clean. ✅ How to Enable • Open indicator settings • Check “Enable Alerts” ________________________________________ 🔔 Available Alerts 🔴 Overbought Alert • Trigger: Price crosses above 0.786 • Message: 🔴 SELL SIGNAL: Price entered Overbought Zone – Consider selling or taking profits 🟢 Oversold Alert • Trigger: Price crosses below 0.214 • Message: 🟢 BUY SIGNAL: Price entered Oversold Zone – Consider buying or entering long ________________________________________ ⏱ Alert Spacing Logic • Default: 20/50 bars • Prevents repeated alerts in choppy markets • Filters for higher-quality signals ________________________________________ ⚙️ 5. Customization Settings Adjust the indicator in the Settings panel: 🔧 Core Inputs • fiboPeriod → Band sensitivity • extremes → Price source (High/Low or Close) 🔔 Alert Controls • Enable / disable alerts • Separate control for overbought & oversold • Alert spacing (bars) ________________________________________ ⭐ How You Can Support ProjectSyndicate (3 Steps) 1. ✅ Click “Add to Favorites” to save this script to your TradingView Favorites 2. 🔎 Check out our other scripts to complete your SMC toolkit 3. 👤 Follow ProjectSyndicate for the latest updates, upgrades, and new releases ________________________________________ ⚠️ 6. Disclaimer Trading involves significant risk and may not be suitable for all traders. This indicator is a decision-support tool, not a standalone trading system. Always apply: • Proper risk management • Additional confirmations • Sound trading discipline 📉 Past performance does not guarantee future results.
Chỉ báo Pine Script®
của ProjectSyndicate
3
Session Range Boxes(MTF)📦 Indicator Name Session Range Boxes (MTF) Multi-Timeframe Directional Session Range Visualization 📘 Description Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes. Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias: 🟢 Bullish → Session Close > Session Open 🔴 Bearish → Session Close < Session Open ⚪ Neutral → Session Close = Session Open This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart. 🔍 What This Indicator Shows For every enabled timeframe, the indicator: Draws a range box from session open to session close Continuously updates live session High & Low Locks the final color once the session completes Keeps historical boxes for structure and context Supported timeframes: Quarterly Half-Yearly Yearly Monthly Weekly Daily Hourly 30-Minute 15-Minute 5-Minute ⚙️ Default Behavior By default, the indicator enables: Weekly Daily Hourly This default setup is intentionally chosen to suit most traders and provides: Higher-timeframe structure (Weekly) Swing context (Daily) Intraday execution levels (Hourly) 🧠 How to Use It Effectively 📈 Higher-Timeframe Analysis (Swing / Positional Trading) Recommended combinations: Weekly + Daily Monthly + Weekly Use cases: Identify dominant market bias Spot compression vs expansion Define higher-timeframe support & resistance zones ⚡ Intraday Trading (Day Trading) Recommended combinations: Daily + Hourly Hourly + 30-Minute Use cases: Track intraday range development Identify directional day types Trade breakouts, rejections, or mean-reversion within session ranges 🚀 Scalping & Precision Entries Recommended combinations: Hourly + 15-Minute 30-Minute + 5-Minute Use cases: Fine-tune entries within larger session ranges Align lower-timeframe trades with higher-timeframe bias Spot micro range expansion and contraction 🎨 Customization Options Bullish / Bearish / Neutral colors Box fill transparency Border transparency & color Maximum historical boxes per timeframe This allows you to keep charts clean, lightweight, and performance-friendly. 💡 Best Practices Avoid enabling too many timeframes at once — clarity beats clutter Use higher-timeframe boxes for bias, lower-timeframe boxes for entries Combine with: Market structure Volume VWAP Liquidity concepts Price action confirmation Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders: Understand session-based price behavior Align trades across timeframes Improve structure awareness without clutter Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
Chỉ báo Pine Script®
của jochacko11
Smart Scalper Pro Template + VWAP 📌 Author Garry Evans Independent system developer focused on: Risk-first automation Market structure & liquidity behavior Discipline, consistency, and capital preservation “The edge isn’t the market — it’s the man who survives it.” ⚙️ Risk Management & Position Sizing The script is built around capital protection, not signal frequency. Risk logic includes: Fixed or dynamic risk per trade Market-adaptive position sizing Session-based trade limits Daily trade caps and auto-lockout protection Volatility-aware sizing (futures & crypto) ⚠️ Profit is pursued only after risk is controlled. 📊 Track Record Backtested across multiple market environments Forward-tested and actively used by the author Real-account trades are logged where platform rules allow Results vary by market, timeframe, and user-defined risk settings. 🌍 Supported Markets Designed to work across all liquid markets, including: Stocks Crypto (spot & futures) Options (signal-based framework) Futures (indices, metals, crypto futures) The system adapts to volatility and structure — it is not market-specific. ⚖️ Leverage Leverage is not required If used, leverage is fully user-controlled Risk logic scales exposure conservatively No martingale. No revenge sizing. No over-exposure logic. 🧪 Backtesting ✔ Yes Strategy logic has been backtested Filters reduce chop, noise, and forced trades Focus on drawdown control over curve-fitting 🛠 Support ✔ Yes Direct author support Ongoing improvements and updates Feature refinement based on real usage and feedback 👥 Community ✔ Yes Private user access High-quality feedback environment No public signal spam or hype-driven chat rooms ⏳ Trial Period ✔ Yes Limited trial access available Designed for evaluation only Trial users do not receive full feature access 🚫 Who This Script Is NOT For This system is not for: Traders looking for guaranteed profits Users expecting copy-paste “signal calls” Over-leveraged gamblers Those unwilling to follow risk rules Anyone seeking overnight results This is a discipline and automation tool, not a shortcut. 🧠 Final Positioning This is not a signal service. This is a risk-controlled execution framework designed to: Enforce discipline Reduce emotional trading Protect capital during bad market conditions Scale responsibly during favorable ones
Chỉ báo Pine Script®
của Garrythetrader954305
Pivot Point BouncePivot Point Bounce (Generated by trade-pilot.app Builder) Overview Pivot Point Bounce is an intraday support & resistance indicator that automatically plots daily pivot levels and highlights high-probability bounce reactions from those levels during the trading session. It is designed to help traders identify areas where price is likely to react, reject, or reverse. Daily Pivot Point Levels The indicator calculates daily pivot points based on the previous trading day’s High, Low, and Close: Pivot (P) – central equilibrium level Resistance levels: R1, R2, R3 Support levels: S1, S2, S3 These levels are fixed for the entire trading day and are drawn as horizontal lines on the chart: Pivot: yellow Resistances: red Supports: green This creates a clear intraday liquidity map that updates automatically every new day. Bounce Detection Logic The indicator continuously monitors price interaction with pivot levels and looks for true bounce behavior, not simple touches. A bounce is detected when: Price touches or slightly crosses a pivot level (using an ATR-based tolerance). The next candle closes back on the correct side of the level: Long bounce: price touches S1, S2, or Pivot from below and closes back above with a bullish candle. Short bounce: price touches R1, R2, or Pivot from above and closes back below with a bearish candle. This helps filter out false breaks and focuses on real rejection from key levels. RSI Confirmation RSI is used as an additional confirmation layer: Oversold RSI supports long bounces. Overbought RSI supports short bounces. RSI values and thresholds are fully customizable through inputs. Session Filter Signals are only generated inside the selected trading session (default: 09:30–16:00 New York time). This prevents signals during low-liquidity or off-market hours. Visual Signals & Alerts When all conditions are met, the indicator: Displays LONG / SHORT labels directly on the chart. Plots directional arrows at signal candles. Supports TradingView alerts for automated notifications. Why This Indicator Is Useful Clearly visualizes institutional pivot levels. Helps identify high-probability bounce trades. Avoids random entries in the middle of price action. Combines structure, momentum, and time-based filtering. Clean, readable, and optimized for intraday trading.
Chỉ báo Pine Script®
của barmoah2
Renko Top 2 Picker### **1s Renko Momentum Scanner (HMA Zero-Lag Edition)** This custom TradingView indicator is engineered specifically for high-frequency Renko traders. It solves the critical problem of identifying which major currency pair has the liquidity and directional inertia to sustain a fixed-brick Renko trend on a 1-second chart. Because TradingView cannot screen 1-second data directly, this script acts as a "bridge," analyzing 1-minute and 5-minute flow metrics to probability-score the likely performance of a 1-second chart. --- ### **Core Logic & Assumptions** 1. **The "Engine" (HMA 300):** * **Logic:** The script uses a Hull Moving Average (HMA) with a length of 300 to smooth the scoring output. * **Why:** On a 1-second chart, 300 bars equals 5 minutes of data. The HMA provides a "Zero-Lag" response, reacting instantly to new breakouts while ignoring the split-second noise that causes standard scanners to flicker. 2. **The "Minute Reset" Solution:** * **Problem:** Standard scripts fail on 1s charts because metrics like "Current Volume" reset to zero at the start of every new minute (e.g., at 10:05:00), causing signals to crash. * **Solution:** This script calculates momentum using a "Rolling Window" anchored to the *previous* minute's close and volume. This ensures the signal remains stable and tradable across the :59 to :00 second boundary. 3. **Renko-Specific Scoring:** * **Displacement > Direction:** The script prioritizes *how far* price is moving (Displacement %) over simple direction. Renko bricks require physical distance to form; without displacement, you pay spread costs for a flat chart. * **Liquidity Gating:** It ignores pairs with low relative volume. A 1-second Renko chart requires high institutional flow to form clean bricks without gapping. --- ### **Indicator Inputs** * **Refresh Display (Seconds):** * *Default: 5* * Controls how often the text on your screen updates. Set this to 5 or 10 seconds to prevent the text from "dancing," allowing you to read the recommendation clearly. * **Score Smoothing (HMA):** * *Default: 300* * The "Memory" of the scanner. * **300:** Represents a 5-minute lookback. Recommended for most 1s scalping to identify established trends. * **120:** Represents a 2-minute lookback. Use this only if you want to catch breakouts aggressively and accept more false signals. * **Table Position:** * *Default: Bottom Right* * Choose where the scanner panel appears on your chart to avoid covering your Renko price action. * **Major Pairs:** * *Defaults: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD* * These fields are pre-filled with the standard "FX:" prefix. **Crucial:** If your broker uses suffixes (e.g., "EURUSD.pro" or "EURUSDm"), you must update these inputs to match your broker's specific symbol format, or the scanner will return "N/A". --- ### **How to Interpret the Output** The panel displays a **Primary** and **Secondary** recommendation. * **Green Background:** The pair has a "Strong" score (> 4.0). This indicates high probability conditions for 1s Renko trend following. * **Gray Background:** The pair is the "best of the bunch," but overall market momentum is weak. Exercise caution, as the 1s chart may be choppy.
Chỉ báo Pine Script®
của cechapman
Neeson Volatility Adaptive Tracker ProVolatility Adaptive Tracker Pro: A Comprehensive Multi-Method Trading System Executive Summary The Volatility Adaptive Tracker Pro (VAT Pro) represents a sophisticated fusion of proven technical analysis methodologies with innovative adaptations, creating a unique multi-signal trading system. Unlike single-purpose indicators, VAT Pro combines multiple analytical approaches into a unified framework that addresses the complex realities of modern financial markets. This system is designed for traders who recognize that no single method consistently outperforms, and that market conditions require adaptive, multi-faceted approaches. Original Innovations: What Sets VAT Pro Apart 1. Hybrid Volatility Measurement System Most volatility indicators fall into two categories: those based on standard deviation (like Bollinger Bands) or those based on average true range (ATR). VAT Pro introduces a third approach: a weighted volatility measurement system that gives greater importance to recent price movements while maintaining sensitivity to overall market conditions. This creates a dynamic volatility assessment that adapts more responsively to changing market environments than conventional methods. 2. Dual-Layer Signal Architecture While most indicators generate single-type signals, VAT Pro implements a tiered signaling system that distinguishes between: Primary trend-following signals (based on price crossing adaptive volatility bands) Secondary volume-confirmed signals (requiring both price movement and exceptional volume) This dual-layer approach recognizes that not all market moves have equal significance, and that volume confirmation often signals more substantial moves worthy of special attention. 3. State-Based Logic with Memory Conventional indicators typically generate signals independently on each bar. VAT Pro introduces persistent state tracking that maintains awareness of whether the market is currently in a bullish, bearish, or neutral condition. This prevents signal redundancy, reduces false signals, and provides valuable context for interpreting current market conditions. What VAT Pro Does: Comprehensive Market Analysis Primary Functions Trend Identification: Detects transitions between bullish and bearish market conditions using multiple confirmation criteria. Volume Analysis: Identifies exceptional trading activity that often precedes or confirms significant price movements. Volatility Assessment: Continuously measures market volatility and adjusts sensitivity parameters accordingly. Visual Context Provision: Uses color-coded price bars, trend lines, and clear signal markers to provide immediate visual feedback. Multi-Timeframe Compatibility: Functions effectively across various trading timeframes from intraday to positional trading. Implementation Methodology: The Technical Framework Core Analytical Approaches Among the hundreds of available technical analysis methods, VAT Pro specifically implements and integrates: A. Adaptive Volatility Channel System This approach modifies the traditional volatility channel concept by: Using weighted moving averages for volatility calculation rather than simple or exponential averages Implementing asymmetric response to upward versus downward volatility Maintaining dynamic channel width that adjusts based on recent market conditions The system falls within the broader category of volatility-adjusted trend following but introduces unique adaptations that improve responsiveness while maintaining stability. B. Volume-Price Confirmation Method Within volume analysis, VAT Pro specifically employs: Threshold-based volume spike detection (volume exceeding moving average by specified multiples) Price-direction confirmation (requiring price movement in the expected direction) Contextual filtering (only considering volume signals in specific market conditions) This represents a specific implementation within the volume confirmation family of methods, distinguished by its customizable thresholds and filtering logic. C. Trailing Stop with Adaptive Positioning The system implements a specific variant of trailing stop methodology characterized by: State-dependent positioning (different logic for trending versus ranging markets) Volatility-adjusted distance (stop levels adapt to current market conditions) Memory of previous positions (the system "remembers" previous trend states) This approach represents an advanced form of trailing stop placement that combines elements of volatility adjustment with trend state awareness. Calculation Philosophy: The Core Principles 1. Weighted Response Philosophy VAT Pro operates on the principle that recent market action should have greater influence than distant history, but not to the exclusion of broader context. This is implemented through custom weighting algorithms that balance responsiveness with stability. 2. Multi-Factor Confirmation Principle The system is built on the premise that multiple confirming factors (price action, volume, volatility) provide more reliable signals than single-factor approaches. This represents a practical implementation of convergence/divergence analysis across different market dimensions. 3. State Transition Logic Rather than viewing each bar in isolation, VAT Pro analyzes sequences of price action to determine market states and state transitions. This recognizes that markets often move through identifiable phases (accumulation, trending, distribution, ranging) that require different analytical approaches. 4. Adaptive Sensitivity The system automatically adjusts its sensitivity based on current market volatility, becoming more responsive in low-volatility conditions and more stable in high-volatility environments. This represents a practical implementation of volatility-adjusted trading logic. Practical Application: How to Use VAT Pro Initial Setup and Configuration Parameter Customization: Begin with default settings, then adjust based on: Your trading instrument's typical volatility characteristics Your preferred trading timeframe Your risk tolerance and trading style Visual Configuration: Customize colors and display settings to match your charting preferences while maintaining clear signal visibility. Trading Methodology Integration VAT Pro supports multiple trading approaches: For Trend Following: Use primary signals when confirmed by overall market direction Employ the adaptive line as a dynamic trailing stop Monitor state transitions for trend continuation or reversal clues For Breakout Trading: Watch for high-volume signals at key price levels Use volatility bands to identify potential breakout ranges Employ volume confirmation to distinguish genuine breakouts from false moves For Position Management: Utilize the color-coded bar system for immediate trend awareness Monitor multiple signal types for confirmation or warning signs Adjust position sizes based on signal strength and market state Signal Interpretation Framework Primary Signal Interpretation: Bullish signals suggest potential long opportunities Bearish signals indicate potential short opportunities Signal clustering often indicates stronger moves Volume Signal Significance: High-volume buy signals often precede sustained upward moves High-volume sell signals frequently indicate distribution or panic selling Volume signals without price confirmation require caution Contextual Analysis: Consider market state when interpreting signals Evaluate signal strength based on recent volatility Monitor multiple timeframes for confirmation Performance Characteristics and Best Practices Optimal Market Conditions VAT Pro performs best in markets exhibiting: Clear trending characteristics (for trend-following signals) Occasional volatility expansions (for volume signals) Reasonable liquidity (for accurate volume analysis) Risk Management Integration Use signal strength to adjust position sizing Employ the adaptive line for stop-loss placement Consider market state when determining risk levels Complementary Tools For best results, combine VAT Pro with: Support and resistance analysis Longer-term trend assessment Fundamental analysis (for longer timeframes) Market structure analysis Conclusion: A Modern Multi-Method Approach The Volatility Adaptive Tracker Pro represents a significant advancement in technical analysis tools by intelligently combining multiple proven methodologies into a coherent, adaptive system. Its original innovations in weighted volatility measurement, dual-layer signaling, and state-based logic address common limitations of conventional indicators while maintaining practical usability. By specifically implementing adaptive volatility channels, volume-price confirmation, and state-aware trailing stops, VAT Pro provides traders with a comprehensive toolkit that adapts to changing market conditions while maintaining methodological rigor. This multi-method approach recognizes the complex reality of financial markets while providing clear, actionable signals based on sound technical principles. Whether used as a primary trading system or as a confirming component within a broader strategy, VAT Pro offers sophisticated analytical capabilities in an accessible, visually intuitive format that supports informed trading decisions across various market conditions and timeframes.
Chỉ báo Pine Script®
của neeson1987
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Chiến lược Pine Script®
của dksniewieders
N Option Selling 1 **NIFTY Weekly Option Seller – Regime & Risk Framework (HTF + RSI)** This indicator is a **decision-support tool for NIFTY option sellers**, designed to identify whether current market conditions favor: * **Iron Condor (IC)** – range / mean-reversion * **Put Credit Spread (PCS)** – bullish bias * **Call Credit Spread (CCS)** – bearish bias The script focuses on **structure selection and risk management**, not trade execution. --- ## Core logic ### 1) Multi-timeframe context * Signals are calculated on the **active chart timeframe** (commonly 4H). * **Daily (HTF) EMA trend and Daily ADX** are used as **gating conditions**, ensuring strong directional scores are not allowed against the higher-timeframe context. This prevents aggressive trend selling when the daily structure does not support it. --- ### 2) Three independent regime scores (0–5) The script computes three capped and smoothed scores: * **IC score (Range quality)** Based on low ADX, price inside CPR, proximity to VWAP, Camarilla H3–L3, daily range confirmation, and mid-band RSI. * **PCS score (Bullish structure)** Based on EMA up-stack, trend strength (ADX), price relative to CPR/VWAP, with RSI and Daily trend acting as **brakes**, not entry signals. * **CCS score (Bearish structure)** Based on EMA down-stack, trend strength (ADX), price relative to CPR/VWAP, with RSI and Daily trend acting as **brakes**, not entry signals. RSI is used only to **cap aggressiveness at extremes**, not to predict reversals. --- ### 3) Cross-penalty & smoothing * When multiple regimes score high simultaneously, **cross-penalties reduce conflicting scores** so only one regime dominates. * Final scores are **smoothed across bars** to avoid frequent regime flips and unstable sizing decisions. --- ### 4) Regime selection The script selects **one primary regime** (IC / PCS / CCS) based on the highest adjusted score, with tie-break logic that prefers trend regimes only when ADX confirms strength; otherwise it defaults to IC. --- ### 5) Non-repainting reference levels The indicator plots key **previous-day, non-repainting levels**: * CPR (Low / High with Narrow–Wide classification) * Camarilla H3, L3, H4, L4 * VWAP These are contextual reference levels for structure and risk placement. --- ### 6) DEFEND / HARVEST prompts Using ATR-based proximity logic, the script provides: * **DEFEND** alerts when price approaches modeled risk zones * **HARVEST** alerts when sufficient cushion exists * **REGIME** alerts on confirmed regime changes These are **risk-management prompts**, not buy/sell signals. --- ### 7) Visual dashboard A compact panel displays: * Active regime and score * ADX / RSI * CPR width classification * EMA structure and tightness * VWAP proximity * IC / PCS / CCS scores * Key level snapshot --- ## Intended use * Designed for **weekly option selling** * Best used on **4H charts with Daily context** * Suitable for traders who manage positions **once per day** * Encourages **structure-first thinking** (IC base with controlled directional bias) --- ## Disclaimer This indicator does **not place trades** and does not calculate position size or P&L. It is a **market regime and risk-awareness tool** and must be used with proper capital management and execution discipline.
Chỉ báo Pine Script®
của distinctSeahor20287
EMA20-EMA50 Separation Impulse**EMA20–EMA50 Separation Impulse Indicator** This indicator is a **trend phase classifier**, not a signal generator. It evaluates the **structural quality of a trend** by measuring the separation between the EMA20 and EMA50, **normalized by ATR**. By using volatility-adjusted distance instead of raw price or percentage, it provides a robust and comparable measure across different instruments and timeframes. ### Key characteristics * **Discrete states**, not a continuous oscillator * **Independent from price scale** (displayed in a lower panel) * **Contextual indicator**, not a timing tool * **Fully backtestable without ambiguity** ### Logic The indicator computes: ``` |EMA20 − EMA50| / ATR ``` Based on this normalized separation, each bar is classified into one of three market phases: * **Green (State 1)** Ordered trend. EMA structure is compact and stable. The EMA-based pullback setup has a statistical edge. * **Blue (State 2)** Extended trend. Separation is increasing. Edge is reduced. Trades require more selectivity or reduced position size. * **Red (State 3)** Overextended trend. EMAs are widely separated. Pullbacks to EMA20 lose effectiveness. The setup has no edge. ### How to integrate it into an EMA-based system This indicator should be used strictly as a **context filter**, not as an entry or exit trigger. Typical integration rules: * Allow long entries **only when State = 1 (Green)** * Reduce position size or require stronger confirmation when State = 2 (Blue) * Disable EMA pullback entries entirely when State = 3 (Red) Used correctly, the indicator helps distinguish **when an EMA trend-following system is operating in its optimal environment**, and when market conditions degrade its expectancy. It answers the question: > *“Is this still a healthy trend for EMA pullback trading?”* —not *“Should I buy or sell now?”*
Chỉ báo Pine Script®
của danavillanueva
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following Introduction The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior. Originality and Innovation Distinct Methodological Approach What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems. Key Original Contributions: Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise. Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework. Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture. Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy. Technical Implementation and Functionality Core Operational Mechanism DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades. The Four-Pillar Architecture: Volatility Measurement and Normalization Calculates Average True Range (ATR) over a user-defined period Converts absolute volatility to percentage terms relative to price Compares current volatility against user-defined thresholds to filter suboptimal conditions Dynamic Trailing Stop Algorithm Establishes an initial stop distance based on current volatility Implements a four-state adjustment mechanism that responds to price action Maintains stop position during trend continuation while allowing for trend reversal detection Conditional Signal Generation Generates entry signals only when price action meets both directional and volatility criteria Produces exit signals based on trailing stop penetration Incorporates position state awareness to prevent conflicting signals Comprehensive Feedback System Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action Displays real-time metrics through an integrated dashboard Offers configurable visualization options for different trading styles Specific Trend-Following Methodology DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods: Not a moving average crossover system (like MACD or traditional MA crosses) Not a channel breakout system (like Bollinger Band or Donchian Channel breaks) Not a momentum oscillator system (like RSI or Stochastic trend following) Not a price pattern recognition system (like head-and-shoulders or triangle breaks) Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that: Wait for market volatility to reach actionable levels Establish positions when price confirms directional bias through stop penetration Manage risk dynamically based on evolving market conditions Exit positions when the trend exhausts itself through stop violation Practical Application and Usage Market Environment Optimization Ideal Conditions: Trending markets with sustained directional movement Medium volatility environments (neither excessively calm nor chaotic) Timeframes: 4-hour to daily charts for optimal signal quality Instruments: Forex majors, commodity futures, equity indices Suboptimal Conditions: Ranging or consolidating markets Extreme volatility events or news-driven spikes Very short timeframes (below 1-hour) Illiquid or highly manipulated instruments Parameter Configuration Strategy Core Parameter Philosophy: ATR Length (Default: 21 periods) Controls the system's memory of volatility Shorter lengths increase sensitivity but may cause overtrading Longer lengths provide smoother signals but may lag during volatility shifts ATR Multiplier (Default: 6.3x) Determines the initial risk buffer Lower values (4-5x) create tighter stops for conservative trading Higher values (6-8x) allow for larger trends but increase drawdown risk Volatility Threshold (Default: 1.5%) Filters out low-quality trading environments Adjust based on market characteristics (higher for volatile markets) Acts as a quality control mechanism for signals Trading Workflow and Execution Signal Interpretation and Action: Entry Protocol: Wait for BLUE "BUY" signal label appearance Confirm volatility conditions meet threshold requirements Enter long position at market or next reasonable opportunity Set initial stop at displayed dynamic stop level Position Management: Monitor dynamic stop line for position adjustment Allow profits to run while stop protects capital No manual adjustment required—system manages stop automatically Exit Protocol: Exit on ORANGE "SELL" signal label appearance Alternative exit if price hits dynamic stop level System will generate new entry signal if conditions warrant re-entry Risk Management Integration: Position sizing based on distance to dynamic stop Volatility filter prevents trades during unfavorable conditions Clear visual feedback on current risk exposure Built-in protection against overtrading Philosophical Foundation and Market Theory Core Trading Principles DATR-TS embodies several foundational market principles: Volatility Defines Opportunity Markets don't trend continuously—they alternate between trending and ranging phases Volatility provides the energy for trends to develop and sustain By measuring and filtering volatility, we can focus on high-probability trend phases Risk Should Be Proportional Fixed percentage stops ignore market context Dynamic stops that adjust with volatility provide more appropriate risk management Position sizing should reflect current market conditions, not arbitrary rules Simplicity Through Sophistication Complex systems often fail in real-world conditions A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches Clear visual feedback reduces cognitive load and emotional interference Trends Persist Until Proven Otherwise Markets exhibit momentum characteristics Once a trend establishes itself, it tends to continue The trailing stop methodology captures this persistence while providing exit mechanisms Mathematical and Statistical Foundation The system operates on several statistical market observations: Volatility Clustering Phenomenon High volatility periods tend to follow high volatility periods Low volatility periods tend to follow low volatility periods By filtering for adequate volatility, we increase the probability of capturing meaningful trends Trend Magnitude Distribution Most trends are small to medium in magnitude Very large trends are rare but account for disproportionate returns The dynamic stop methodology allows capture of varying trend magnitudes Autocorrelation in Price Movements Price movements exhibit short-term positive autocorrelation during trends This persistence allows trailing stops to capture continued movement The system leverages this characteristic without requiring explicit autocorrelation calculation Performance Characteristics and Expectations Typical System Behavior Signal Frequency: Low to moderate signal generation (prevents overtrading) Signals concentrated during trending market phases Extended periods without signals during ranging conditions Risk-Reward Profile: Win rate typically 40-60% in trending conditions Average win larger than average loss Risk-reward ratios of 1:2 to 1:3 achievable Drawdown Patterns: Controlled through volatility adjustment Larger drawdowns during extended ranging periods Recovery typically follows when trending conditions resume Comparison with Alternative Approaches Versus Moving Average Systems: Less prone to whipsaws during ranging markets Better adaptation to changing volatility conditions Clearer exit signals through stop levels Versus Channel Breakout Systems: More responsive to emerging trends Lower false breakout probability Dynamic risk adjustment rather than fixed parameters Versus Momentum Oscillator Systems: Better trend persistence capture Less susceptible to overbought/oversold false signals Clearer position management rules Educational Value and Skill Development Learning Opportunities DATR-TS serves as more than just a trading tool—it provides educational value through: Market Condition Awareness Teaches traders to distinguish between trending and ranging markets Develops understanding of volatility's role in trading opportunities Encourages patience and selectivity in trade execution Risk Management Discipline Demonstrates dynamic position sizing principles Illustrates the importance of adaptive stops Reinforces the concept of risk-adjusted returns Psychological Skill Development Reduces emotional trading through clear rules Builds patience through conditional execution Develops discipline through systematic approach Customization and Evolution The system provides a foundation for further development: Beginner Level: Use default parameters for initial learning Focus on signal recognition and execution discipline Develop understanding of system behavior across market conditions Intermediate Level: Adjust parameters based on specific market characteristics Combine with complementary analysis techniques Develop personal variations based on trading style Advanced Level: Integrate with portfolio management systems Develop automated execution frameworks Create derivative systems for specialized applications Conclusion: The Modern Trend-Following Paradigm The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically. This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments. For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following. The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Chỉ báo Pine Script®
của neeson1987
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume) AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments. It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders. Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC. 🔹 Core Features Session-Anchored Value Area Value Area is built only during the selected session Resets cleanly at session start Levels develop during the session and can be extended forward No repainting or shifting due to lookback changes TPO or Volume Mode TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data Volume mode – uses broker volume if preferred Same logic, different weighting method Fixed Price Bin Size Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100) Produces cleaner, more realistic VAH/VAL levels Avoids distorted profiles caused by dynamic bin scaling VAH / VAL / POC Levels VAH (Value Area High) VAL (Value Area Low) POC (Point of Control) (optional) Lines can be extended to act as forward reference levels 🔹 Trading Signals & Alerts Value Re-Entry Identifies false breakouts where price: Trades outside value Then closes back inside Often seen before strong mean-reversion or continuation moves. Acceptance Detects initiative activity using: Multiple consecutive closes outside value Filters out weak single-candle breaks Rejection Flags strong rejection candles: Large candle body Wick outside value Close back inside the value area These conditions are especially effective on Gold intraday. 🔹 Optional Profile Histogram Right-side volume/TPO histogram Buy/sell imbalance visualization Fully optional to reduce chart clutter and improve performance 🔹 Best Use Cases Recommended markets XAUUSD (Gold) NAS100 / US100 Other index or metal CFDs Recommended timeframes 5m, 15m, 30m Suggested settings Mode: TPO Value Area: 70% Bin size: Gold: 0.10 NAS100: 0.25 or 0.50 🔹 How Traders Use It Trade rejections at VAH / VAL Look for acceptance to confirm trend days Use re-entries to fade failed breakouts Combine with trend filters, EMA structure, or session context ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Chỉ báo Pine Script®
của APCapitalTrading
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis Originality & Core Philosophy Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns. The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence). What It Does & How It Achieves It The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels. Its implementation can be broken down into several operational layers: 1. The Core Technical Cycle Layer: This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms. CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs. Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events. Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA. Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods. These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events. 2. The Market Phase & Structural Context Layer: Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime. Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule. 3. The Quantitative Dashboard Layer (Technical & On-Chain): This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar. Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility). Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative. Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles: Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice. Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles. Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice." 4. The Synthesis & Alert Layer: Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score. Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications. Underlying Calculation Logic & Rationale The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when: Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher. Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV). The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within. Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts. The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors. How to Use It: A Practical Guide This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool. Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias. Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement. Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis. Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this. Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone. In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Chỉ báo Pine Script®
của neeson1987
Time-Segmented RVOLTime-Segmented RVOL The Mathematical Flaw in Standard RVOL Most Relative Volume (RVOL) indicators are built on a "Linear Scaling" hypothesis. They take the daily average and divide it by the number of bars in the day. This fails to account for the "Volume Smile"—the natural tendency for volume to be heavy at the open/close and dry up during mid-day. This leads to "False Highs" every morning and "False Lows" during lunch. The Solution: Time-Slot Memory This script uses a high-performance array to create a 20-Day Memory for every specific minute of the trading day. Contextual Comparison: It compares the current 10:30 AM bar only to the previous twenty 10:30 AM bars. Pre-Market Precision: Because it compares 4:00 AM volume to historical 4:00 AM volume, it can spot "early-bird" runners hours before the opening bell, identifying unusual interest when total volume is still low. The Coherent Momentum Tiers We have organized the color logic into four distinct, logical tiers to assist in rapid decision-making: Cold (Blue): RVOL < 1.0 . Volume is below the historical average for this specific time slot. Building (Green): RVOL 1.0 – 3.0. Active participation. The stock is "Awake" and moving with healthy, sustainable interest. High Intensity (Yellow): RVOL 3.0 – 5.0. Extreme interest. The trade is becoming "crowded"; look for increased volatility. Parabolic/Super High (Pink): RVOL > 5.0. Massive abnormality (5x+ normal volume). Common in small-cap "pumpers" and major institutional news events. Trading Strategy: Spotting the "In-Play" Runner The Awake Signal: Watch for a transition from Blue to Green. This confirms the ticker is "in-play" relative to its own 20-day history. The Breakout: Look for Yellow or Pink bars accompanied by a price breakout from a consolidation zone. High RVOL confirms the move has real conviction. Exhaustion (White X): The script includes built-in divergence tracking. If the price makes a new high but the RVOL bars are shrinking, a "White X" will appear. This suggests "Volume Exhaustion"—the fuel is running out. Settings Lookback (Days): Default is 20. This acts as a "Truth Filter" to ensure the baseline remains grounded in long-term reality rather than chasing short-term noise. Custom Thresholds: Fully adjustable levels for the Green, Yellow, and Pink tiers to suit different asset classes (Small-caps vs. Mega-caps).
Chỉ báo Pine Script®
của nicojenkins
TSLA Cycle Timing - 122-Day Reversal Map (Adaptive Framework)This indicator is a timing map built specifically for Tesla (TSLA) on the Daily chart. It plots a repeating set of vertical, color-coded timing markers inside a 122-bar cycle (commonly treated as ~122 trading days on the Daily timeframe). These markers highlight reversal “zones”—areas where TSLA has historically shown a tendency to pivot from high-to-low and low-to-high within the cycle. The script includes: 23 TSLA-derived set points (Points 1–23): the core timing map used to mark the most repeatable reversal areas. Two optional “Inversion Points” (INV A / INV B): manual markers you can enable when TSLA’s high/low sequence appears to flip due to a structural deviation. One additional optional marker (OPT C) for user customization. This is not an auto-buy/sell system. It is a cycle-structure framework designed to help you anticipate when a reversal is more likely to occur, so you can combine it with your own confirmation tools (price action, trend context, support/resistance, volume, etc.). Definitions (How this script interprets highs/lows) In the context of cycle mapping: A High Point is the highest price reached between two neighboring high pivots. A Low Point is the lowest price reached between two neighboring low pivots. The vertical lines are timing markers, not “guaranteed pivot candles.” Price may top/bottom slightly before or after a line. That’s why the script includes an optional ± window (in bars) to visualize a small tolerance zone around each marker. How it works (Conceptually) The script defines a repeating cycle length (default 122 bars). Inside each cycle, each point has an offset measured in bars from the cycle start. For every cycle instance (past, current, and optional future cycles), the script draws: a vertical dotted line at each enabled point offset optional ± window bands around the line optional labels (numbers for set points and “INV” labels for inversion points) Because this is a Tesla-specific map, the default offsets for Points 1–23 are preconfigured based on TSLA’s observed structure, and the remaining optional points are user-controlled. How to Use (Important) 1) Use the Daily chart first This model is designed around TSLA’s Daily cycle behavior. Start with: Symbol: TSLA Timeframe: 1D If you use other timeframes, the cycle “tempo” can change and may require different offsets. 2) Identify the cycle start (anchor) Cycle mapping depends on where the current cycle is anchored. Use “Bars Back to Current Cycle Start” to shift the cycle start so that the script’s point sequence aligns with your most recent known cycle beginning. Once aligned, the points should repeat near each 122-bar interval. 3) Read the vertical markers as reversal zones The colored vertical lines represent areas where reversals have historically occurred, not a promise that price must reverse exactly on the line. A practical approach: Use the marker as a “heads-up” zone Wait for confirmation (trend break, candle structure, momentum shift, key level reaction, etc.) 4) Understand “set points” vs “Inversion Points” Set Points (1–23) These are the primary TSLA reversal zones that tend to recur within the 122-bar structure. Specific numbered points often appear near the same relative position inside each cycle. Inversion Points (INV A / INV B) Occasionally, TSLA’s cycle behavior can flip—meaning the expected high-to-low (or low-to-high) progression temporarily swaps order. This is what I refer to as an inversion. When you see a cycle behaving “backwards” relative to the usual sequence: Enable INV A and/or INV B Place their offsets at the bar locations where the flip becomes obvious Use these markers as manual annotations so your cycle notes stay consistent even when TSLA deviates from its typical rhythm These inversion markers do not force the script to predict a flip—they allow you to document it cleanly. 5) Use the ± Window Bands to manage real-world variance Markets don’t pivot on perfect timestamps. If a reversal tends to happen “around” a point: Enable ± Window Bands Set Window ± Bars (commonly 1–3 bars on 1D) This gives a realistic visual tolerance zone around each timing marker. Settings Guide (Practical) Cycle Length (bars): 122 (TSLA Daily baseline) Lookback Bars: increase to study more history, decrease for performance Future Cycles: use sparingly; future markers are guidance zones, not guarantees Past Cycles: Lines Only: recommended ON for stable performance Labels at Top: helps keep the chart clean and readable Final Notes / Limitations This is a historical timing framework designed to map TSLA’s repeating reversal structure. It helps estimate when reversal pressure tends to appear, but it does not replace risk management or confirmation. Cycle behavior can stretch, compress, or invert during unusual volatility regimes—hence the inclusion of optional inversion markers.
Chỉ báo Pine Script®
của Dinjin
MACD 12-26-9 with Slope, Convergence & Divergence1. Core Indicator: MACD (12-26-9) The script uses the standard MACD: Fast EMA: 12 Slow EMA: 26 Signal EMA: 9 It plots: MACD Line → short-term vs long-term momentum Signal Line → smoothed MACD Histogram → distance between MACD and Signal 2. Histogram Slope (Momentum Acceleration) What it is The slope measures how fast the MACD histogram is changing. histSlope = hist - hist What it tells you Positive slope → momentum accelerating Negative slope → momentum slowing Slope flip → early momentum shift (often before MACD cross) Why it matters MACD crosses are lagging. Histogram slope gives early warning of momentum changes. 3. Convergence & Divergence (MACD vs Signal) How it’s calculated The script measures the distance between the MACD and Signal lines: distance = abs(macdLine - signalLine) Convergence → distance is shrinking Divergence → distance is expanding Interpretation Convergence = compression / energy building Divergence = expansion / trend strength or exhaustion This is not price divergence, but internal momentum structure. 4. MACD Perimeter Threshold (Momentum Filter) What it is Horizontal bands above and below zero that define a “noise zone”. Inside perimeter → weak / choppy momentum Outside perimeter → strong momentum Why it’s useful Filters low-quality MACD crosses Identifies compression → expansion Helps spot trend exhaustion when momentum fades outside the band 5. Visual Encoding (What you see) Histogram colors Bright green / red → strong acceleration Dull green / maroon → weakening momentum Gray → indecision MACD line color Yellow → converging (compression) Orange → diverging (expansion) Blue → neutral Markers Up triangle → bullish convergence Down triangle → bearish divergence 6. How traders use this indicator Trend continuation MACD above zero Histogram positive Slope rising Divergence expanding ➡ Strong trend continuation Pullback entries Trend intact Histogram pulls back toward zero Slope turns up again ➡ High-probability re-entry Breakout anticipation Long convergence Histogram flattening Sudden slope expansion ➡ Breakout likely Exhaustion warning Large divergence Histogram slope weakens Momentum fails to expand ➡ Trend may stall or reverse 7. Best use cases Works best as a momentum confirmation tool Combine with: Market structure Support / resistance Moving averages Volume or Force Index
Chỉ báo Pine Script®
của mattyjoy6787
Relative Strength SpreadSPY vs IWM Relative Strength Spread Indicator The SPY vs IWM Relative Strength Spread indicator measures leadership between large-cap and small-cap equities by comparing the percent performance of SPY (S&P 500) against IWM (Russell 2000) over a user-defined lookback period. The indicator plots a zero-centered histogram in a separate pane, making relative strength shifts immediately visible. How It Works The indicator calculates the percent change of SPY and IWM over the same lookback window. It then subtracts IWM’s percent change from SPY’s percent change. The result is plotted as a histogram pinned to the 0% line. This design removes long-term drift and ensures that: Positive values indicate SPY is outperforming IWM Negative values indicate IWM is outperforming SPY How to Read the Histogram Above Zero (Green Bars) Large-cap stocks are leading → typically associated with risk-on stability and institutional flow into SPY-weighted names. Below Zero (Red Bars) Small-cap stocks are leading → often signals risk appetite expansion and speculative participation. Crosses of the Zero Line Mark potential leadership transitions between large caps and small caps. Why This Indicator Is Useful Identifies market regime shifts (risk-on vs risk-off behavior) Confirms or filters trend strength in equities Helps time rotations between large-cap and small-cap exposure Works consistently across all timeframes Because the calculation is based on percent change, the histogram remains normalized and comparable regardless of price level or timeframe. Best Use Cases As a market internals / breadth confirmation tool As a bias filter for SPY, IWM, or index futures To spot early leadership changes before price trends fully develop
Chỉ báo Pine Script®
của Es-Sniper
CVD-MACD### CVD-MACD (Research) The CVD-MACD is a research-oriented indicator that combines Cumulative Volume Delta (CVD) with the classic MACD framework to provide insights into market momentum and potential reversals. Unlike a standard MACD based on price, this version uses CVD (the running total of buy vs. sell volume delta) as its input source, offering a volume-driven perspective on trend strength and divergences. Key Features: - **CVD-Based MACD Calculation**: Computes MACD using CVD instead of price, highlighting volume imbalances that may precede price moves. - **Dual Divergence Detection**: Identifies bullish/bearish divergences on both the MACD line and histogram, with configurable pivot lookbacks and filters (e.g., momentum decay and zero-side consistency). - **Visual Flexibility**: Toggle divergences in the indicator pane or overlaid on the main chart, with optional raw CVD line for reference. - **Alerts**: Built-in conditions for bullish and bearish divergences to notify users of potential setups. ###This indicator is designed for research and experimentation—it's not financial advice. It performs best on liquid assets with reliable volume data (e.g., stocks, futures). I've shared this to gather community feedback: please test it thoroughly and point out any bugs, inefficiencies, or improvements! For example, if you spot issues with divergence detection on certain timeframes or symbols, let me know in the comments. Your input will help refine it. Inspired by volume analysis techniques; open to collaborations or forks. ## User Manual for CVD-MACD (Research) ### Overview The CVD-MACD indicator transforms traditional MACD by using Cumulative Volume Delta (CVD) as the base input. CVD accumulates the net delta between estimated buy and sell volume per bar, providing a volume-centric view of momentum. The indicator plots a MACD line, signal line, and histogram, while also detecting divergences on both the MACD line and histogram for potential reversal signals. This manual covers setup, interpretation, and troubleshooting. Note: This is a research tool—backtest and validate on your own data before using in live trading. ### Installation and Setup 1. **Add to Chart**: Search for "CVD-MACD (Research)" in TradingView's indicator library or paste the script into the Pine Editor and add it to your chart. 2. **Compatibility**: Works on any timeframe and symbol with volume data. Best on daily/intraday charts for stocks, forex, or futures. Avoid illiquid symbols where volume may be unreliable. 3. **Customization**: All inputs are configurable via the indicator's settings panel. Defaults are optimized for general use but can be tuned based on asset volatility. ### Input Parameters The inputs are grouped for ease of use: #### MACD Settings - **Fast EMA (CVD)** (default: 12): Length of the fast EMA applied to CVD. Shorter values make it more responsive to recent volume changes. - **Slow EMA (CVD)** (default: 26): Length of the slow EMA on CVD. Longer values smooth out noise for trend identification. - **Signal EMA** (default: 9): Smoothing period for the signal line (EMA of the MACD line). #### Divergence Logic (MACD Line) - **Pivot Lookback (MACD Line)** (default: 5): Bars to look left/right for detecting pivots on the MACD line. Higher values detect larger swings but may miss smaller divergences. - **Max Lookback Range (MACD Line)** (default: 50): Maximum bars between two pivots to consider a divergence valid. Prevents detecting outdated signals. - **Enable Momentum Decay Filter (Histogram)** (default: false): When enabled, requires the histogram to show decaying momentum (absolute value decreasing) for MACD-line divergences to trigger. #### Histogram Divergence - **Pivot Lookback (Histogram)** (default: 5): Similar to above, but for histogram pivots. - **Max Lookback Range (Histogram)** (default: 50): Max bars for histogram divergence detection. - **Show Histogram Divergences in Indicator Pane** (default: true): Displays dashed lines and "H" labels for histogram divergences in the sub-window. - **Show Histogram Divergences on Main Chart** (default: true): Overlays histogram divergences on the price chart with semi-transparent lines and labels. - **Require Histogram to Stay on Same Side of Zero** (default: true): Filters divergences to only those where the histogram doesn't cross zero between pivots, ensuring consistent momentum direction. #### Visuals (Dual View) - **Show MACD-Line Divergences (Indicator Pane)** (default: true): Draws solid lines and "L" labels for MACD-line divergences in the sub-window. - **Show MACD-Line Divergences (Main Chart)** (default: true): Overlays MACD-line divergences on the price chart. - **Show Raw CVD Line** (default: false): Plots the underlying CVD as a faint gray line for reference. ### How to Interpret the Indicator 1. **Core Plots**: - **MACD Line** (blue): Difference between fast and slow CVD EMAs. Above zero indicates building buy volume momentum; below zero shows sell dominance. - **Signal Line** (orange): EMA of the MACD line. Crossovers can signal potential entries/exits (e.g., MACD above signal = bullish). - **Histogram** (columns): MACD minus signal. Green shades for positive/expanding bars (bullish momentum); red for negative/contracting (bearish). Fading colors indicate weakening momentum. - **Zero Line** (gray horizontal): Reference for bullish (above) vs. bearish (below) territory. - **Raw CVD** (optional gray line): The cumulative buy-sell delta. Rising = net buying; falling = net selling. 2. **Divergences**: - **Bullish (Green Lines/Labels)**: Occur when price makes lower lows, but MACD line or histogram makes higher lows. Suggests weakening downside momentum and potential reversal up. Look for "L" (MACD line) or "H" (histogram) labels. - **Bearish (Red Lines/Labels)**: Price higher highs vs. MACD/histogram lower highs. Indicates fading upside and possible downturn. - **Dual View**: Divergences appear in the indicator pane (sub-window) for clean analysis and overlaid on the main chart for price context. Histogram divergences use dashed lines to distinguish from MACD-line (solid). - **Filters**: Momentum decay ensures only "hidden" or weakening divergences trigger. Zero-side filter prevents false signals from oscillating histograms. 3. **Alerts**: - **Bullish Divergence (L or H)**: Triggers on either MACD-line or histogram bullish divergence. Message: "CVD-MACD Bullish Divergence detected on {{ticker}}". - **Bearish Divergence (L or H)**: Similar for bearish. Use TradingView's alert setup to notify via email/SMS/webhook. - Tip: Combine with price action (e.g., support/resistance) for confirmation. ### Usage Tips and Strategies - **Trend Confirmation**: Use in uptrends for bullish divergences (pullback buys) or downtrends for bearish (short entries). - **Timeframe Selection**: Higher timeframes (e.g., daily) for swing trading; lower (e.g., 15-min) for intraday. Adjust pivot lookbacks accordingly (shorter for faster charts). - **Combination Ideas**: Pair with RSI for overbought/oversold confirmation or VWAP for intraday volume context. - **Risk Management**: Divergences are probabilistic—not guarantees. Always use stop-losses based on recent swings. - **Performance Notes**: Backtest on historical data via TradingView's Strategy Tester. CVD relies on accurate volume; test on exchanges like NYSE/NASDAQ. ### Known Limitations and Troubleshooting - **Volume Dependency**: CVD estimation assumes linear buy/sell distribution based on bar position—may be less accurate on thin markets or during gaps. - **Repainting**: Pivots and divergences can repaint as new data arrives (common in pivot-based indicators). Use on closed bars for reliability. - **Resource Usage**: High max_bars_back (5000) ensures deep history; reduce if chart loads slowly. - **No Signals on Low-Volume Bars**: If CVD flatlines, check symbol volume—some crypto/forex pairs have inconsistent data. - **Community Feedback**: If you encounter bugs (e.g., false divergences on specific symbols/timeframes), missing alerts, or calculation errors, please comment below with details like symbol, timeframe, and screenshots. Suggestions for enhancements (e.g., more filters or visuals) are welcome! If you have questions or find issues, drop a comment—let's improve this together!
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của Kuokkuok0503
BTCUSD 1D Trend Strategy [Gemini]1Dchart 100% of equity per trade 0.1% commission 1 tick slippage please convert this indicator to a trading strategy as you see fit find attached the date of the chart and the indicator on BTCUSD 1D chart so you can make a better decision when to buy and sell avoid forward looking and repainting at all costs. Don't add tables to the chart don't ever use line breaks in function calls: long only 2018-2069 1D chart 100% of
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của sniperlordfx