Mulai

Siklus

2026 CHRISTMAS PRESENT CHRISTMAS PRESENT Overview The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems. Strategy Background The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation: Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control. Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action. By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction. Key Features Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern RSI Filter: Optional overbought/oversold filter to avoid extreme conditions Built-in Risk Management: Configurable stop loss and take profit levels Performance Dashboard: Real-time ROI metrics displayed on chart Full Backtesting: Strategy mode allows historical performance analysis Trading Rules LONG ENTRY BUY All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses above signal line bullish crossover 2. Price Action Confirmation: Bullish engulfing pattern forms: Current close greater than previous open Current open less than previous close Current close greater than current open 3. RSI Filter Optional: RSI less than 70 not overbought Visual Signal: Green LONG label appears below the candle SHORT ENTRY SELL All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses below signal line bearish crossover 2. Price Action Confirmation: Bearish engulfing pattern forms: Current close less than previous open Current open greater than previous close Current close less than current open 3. RSI Filter Optional: RSI greater than 30 not oversold Visual Signal: Red SHORT label appears above the candle Exit Rules Stop Loss Default 2 percent Long: Exit if price drops 2 percent below entry Short: Exit if price rises 2 percent above entry Take Profit Default 4 percent Long: Exit if price rises 4 percent above entry Short: Exit if price drops 4 percent below entry Input Parameters Indicator Settings MACD Fast Length: 12 default MACD Slow Length: 26 default RSI Length: 14 default Risk Management Use Stop Loss: Enable or disable stop loss Stop Loss percent: Percentage risk per trade default 2 percent Use Take Profit: Enable or disable take profit Take Profit percent: Target profit per trade default 4 percent Filters Use RSI Filter: Enable or disable RSI overbought oversold filter RSI Overbought: Upper threshold default 70 RSI Oversold: Lower threshold default 30 Performance Metrics The built-in dashboard displays: Net Profit: Total profit loss in currency and percentage Total Trades: Number of completed trades Win Rate: Percentage of profitable trades Profit Factor: Ratio of gross profit to gross loss Average Win Loss: Mean profit per winning losing trade Max Drawdown: Largest peak to trough decline Best Practices 1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily 2. Market Conditions: Most effective in trending markets with clear momentum 3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting 4. Combine with Context: Consider overall market trend and support resistance levels 5. Backtest First: Always backtest on your specific instrument and timeframe before live trading Risk Disclaimer This strategy is for educational purposes. Past performance does not guarantee future results. Always: Backtest thoroughly on historical data Paper trade before using real capital Use proper position sizing and risk management Never risk more than you can afford to lose Customization Tips Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent Ranging markets: Enable RSI filter to avoid false breakouts Strong trends: Disable RSI filter to catch all momentum shifts Technical Details Indicators Used: Moving Average Convergence Divergence MACD Relative Strength Index RSI Candlestick Pattern Recognition Strategy Type: Trend following with momentum confirmation Best Suited For: Stocks Forex Crypto Indices Version 1.0 Compatible with Pine Script v5
Strategi Pine Script®
oleh hushedDiamond97573
FlowTrinity — Crypto Dominance Rotation IndexFlowTrinity — Crypto Dominance Rotation Index (Tracks BTC / Stablecoin / Altcoin dominance flows with standardized oscillators) ⚪ Overview FlowTrinity decomposes total crypto market structure into three capital-flow regimes — BTC dominance, Stablecoin dominance, and Altcoin dominance — each normalized into oscillator form. Additionally, a fourth histogram tracks Total Market Cap expansion/contraction relative to BTC+Stable capital, revealing underlying rotation pressure not visible in raw dominance charts. Each component is standardized through SMA/STD normalization, producing smoothed 0–100 style oscillations that highlight overbought/oversold rotation extremes, risk-on/risk-off transitions, and capital cycle inflection zones. ⚪ Flow Components Stablecoin Dominance Oscillator —White line Measures the combined USDT + USDC share of market dominance. High values indicate increased hedging behavior or sidelined capital. Low values coincide with renewed risk appetite and capital deployment into crypto assets. Altcoin Dominance Oscillator — Orange Line Tracks the share of liquidity rotating into altcoins (Total – BTC – Stable). Rising values indicate broad market expansion and speculative activity. Falling values reflect flight-to-safety or concentration back into majors. BTC Dominance Oscillator — Purple line(off by default Normalized BTC dominance revealing transitions between Bitcoin-led markets and altcoin-led cycles. Useful for identifying BTC absorption phases vs. altcoins dispersion regimes. Total–BTC–Stable MarketCap Difference Histogram — histogram A normalized histogram of total market cap change minus BTC+Stable market cap change. • Positive → altcoin segment expanding • Negative → capital retreating into BTC or stables Acts as a structural layer confirming or contradicting dominance-based signals. Normalization Logic All flows use SMA + standard deviation scaling (lookback 7 / smoothing 7), enabling consistent comparison across unrelated dominance and market-cap metrics. ⚪ Use Cases • Identify shifts between BTC-led and alt-led markets • Detect early signs of liquidity rotation • If Stablecoin OSC is oversold, liquidity may soon rotate to BTC or Altcoins, signaling potential price moves. • If Stablecoin OSC is overbought and Altcoin OSC is oversold, it can indicate an early buying opportunity in Altcoins. • Watching these oscillator positions helps spot early market rotations and plan entries or exits. snapshot Disclaimer This indicator is for educational and informational purposes only and does not constitute financial advice or investment guidance. Cryptocurrency trading involves significant risk; you are solely responsible for your trading decisions, based on your financial objectives and risk tolerance. The author assumes no liability for any losses arising from the use of this tool.
Indikator Pine Script®
oleh sanbangaje
1
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script: ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis Overview This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions. Key Innovation: Why Alt/BTC Matters Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength: When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity) When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits) This approach captures the rotation between BTC and alts that drives crypto cycles Key Features 📊 Advanced Technical Analysis RSI (60% weight): Primary momentum indicator on weekly timeframe Long-term MA Deviation (35% weight): Measures distance from 150-period baseline MACD (5% weight): Minor confirmation signal EMA Smoothing: Filters noise while maintaining responsiveness All calculations performed on Alt/BTC pairs for superior market timing 💰 3-Tier DCA System Level 1 (Risk ≤ 70): Conservative entry, base allocation Level 2 (Risk ≤ 50): Increased allocation, strong opportunity Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation Continuous buying: Executes every bar while below threshold for true DCA behavior Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined 📈 Smart Profit Management Sequential selling: Must complete L1 before L2, L2 before L3 Percentage-based exits: Sell portions of position, not fixed amounts Auto-reset on re-entry: New buy signals reset sell progression Prevents premature full exits during volatile conditions 🤖 3Commas Automation Pre-configured JSON webhooks for Custom Signal Bots Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit Flexible quote currency: USD, USDT, or BUSD Dynamic order sizing: Automatically adjusts to your tier thresholds Full webhook documentation compliance 🎨 Multi-Asset Support Pre-configured for popular altcoins: ETH (Ethereum) SOL (Solana) ADA (Cardano) LINK (Chainlink) UNI (Uniswap) XRP (Ripple) DOGE RENDER Custom option for any other crypto How It Works Risk Metric Calculation (0-100 scale): Fetches weekly Alt/BTC price data for stability Calculates RSI, MACD, and deviation from 150-period MA Normalizes MACD to 0-100 range using 500-bar lookback Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35) Applies 5-period EMA smoothing for cleaner signals Color-Coded Risk Zones: Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC Lime/Yellow (30-70): Accumulation range - favorable risk/reward Orange (70-85): Caution zone - consider taking initial profits Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking Entry Logic: Buys execute every candle when risk is below threshold As risk decreases, position sizing automatically scales up Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate Exit Logic: Sells only trigger when in profit AND risk exceeds thresholds Sequential execution ensures partial profit-taking If new buy signal occurs before all sells complete, sell levels reset to L1 Configuration Guide Choosing Your Altcoin: Select crypto from dropdown (or use CUSTOM for unlisted coins) Pick your exchange Choose quote currency (USD, USDT, BUSD) Risk Metric Tuning: Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent RSI Length (default 10): Lower = more volatile, Higher = smoother Smoothing (default 5): Increase for less noise, decrease for faster reaction Buy Settings (Aggressive DCA Example): L1 Threshold: 70 | Amount: $5 L2 Threshold: 50 | Amount: $6 L3 Threshold: 30 | Amount: $7 Total L3 buy = $18 per candle when deeply oversold Sell Settings (Balanced Exit Example): L1: 70 threshold, 25% position L2: 85 threshold, 35% position L3: 100 threshold, 40% position (final exit) 3Commas Setup Bot Configuration: Create Custom Signal Bot in 3Commas Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT) Order size: Select "Send in webhook, quote" to use strategy's dollar amounts Copy Bot UUID and Secret Token Script Configuration: Paste credentials into 3Commas section inputs Check "Enable 3Commas Alerts" Save and apply to chart TradingView Alert: Create Alert → Condition: "alert() function calls only" Webhook URL: api.3commas.io Enable "Webhook URL" checkbox Expiration: Open-ended Strategy Advantages ✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations ✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump ✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward) ✅ Emotional Discipline: Systematic approach removes fear and FOMO ✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously ✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools Backtesting Insights Optimal Timeframes: Daily chart: Best for backtesting and signal generation Weekly data is fetched internally regardless of display timeframe Historical Performance Characteristics: Accumulates heavily during bear markets and BTC dominance periods Captures explosive altcoin rallies when BTC stagnates Sequential selling preserves capital during extended downtrends Works best on established altcoins with multi-year history Risk Considerations: Requires capital reserves for extended accumulation periods Some altcoins may never recover if fundamentals deteriorate Past correlation patterns may not predict future performance Always size positions according to personal risk tolerance Visual Interface Indicator Panel Displays: Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases Horizontal threshold lines: Dashed lines mark your buy/sell levels Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells Real-time risk value: Numerical display on price scale Customization: All threshold lines are adjustable via inputs Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum) Line weights emphasize most extreme thresholds (L3 buy and L3 sell) Strategy Philosophy This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision. The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns. Advanced Tips Multi-Bot Strategy: Run this on 5-10 different altcoins simultaneously to: Diversify correlation risk Capture whichever alt is pumping Smooth equity curve through rotation Pairing with BTC Strategy: Use alongside the BTC DCA Risk Strategy for complete portfolio coverage: BTC strategy for core holdings ALT strategies for alpha generation Rebalance between them based on BTC dominance Threshold Calibration: Check 2-3 years of historical data for your chosen alt Note where risk metric sat during major bottoms (set buy thresholds) Note where it peaked during euphoria (set sell thresholds) Adjust for your risk tolerance and holding period Credits Strategy Development & 3Commas Integration: Claude AI (Anthropic) Technical Analysis Framework: RSI, MACD, Moving Average theory Implementation: pommesUNDwurst Disclaimer This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions. Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity. Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
Strategi Pine Script®
oleh nakphanan
Credit Spread RegimeThe Credit Market as Economic Barometer Credit spreads are among the most reliable leading indicators of economic stress. When corporations borrow money by issuing bonds, investors demand a premium above the risk-free Treasury rate to compensate for the possibility of default. This premium, known as the credit spread, fluctuates based on perceptions of economic health, corporate profitability, and systemic risk. The relationship between credit spreads and economic activity has been studied extensively. Two papers form the foundation of this indicator. Pierre Collin-Dufresne, Robert Goldstein, and Spencer Martin published their influential 2001 paper in the Journal of Finance, documenting that credit spread changes are driven by factors beyond firm-specific credit quality. They found that a substantial portion of spread variation is explained by market-wide factors, suggesting credit spreads contain information about aggregate economic conditions. Simon Gilchrist and Egon Zakrajsek extended this research in their 2012 American Economic Review paper, introducing the concept of the Excess Bond Premium. They demonstrated that the component of credit spreads not explained by default risk alone is a powerful predictor of future economic activity. Elevated excess spreads precede recessions with remarkable consistency. What Credit Spreads Reveal Credit spreads measure the difference in yield between corporate bonds and Treasury securities of similar maturity. High yield bonds, also called junk bonds, carry ratings below investment grade and offer higher yields to compensate for greater default risk. Investment grade bonds have lower yields because the probability of default is smaller. The spread between high yield and investment grade bonds is particularly informative. When this spread widens, investors are demanding significantly more compensation for taking on credit risk. This typically indicates deteriorating economic expectations, tighter financial conditions, or increasing risk aversion. When the spread narrows, investors are comfortable accepting lower premiums, signaling confidence in corporate health. The Gilchrist-Zakrajsek research showed that credit spreads contain two distinct components. The first is the expected default component, which reflects the probability-weighted cost of potential defaults based on corporate fundamentals. The second is the excess bond premium, which captures additional compensation demanded beyond expected defaults. This excess premium rises when investor risk appetite declines and financial conditions tighten. The Implementation Approach This indicator uses actual option-adjusted spread data from the Federal Reserve Economic Database (FRED), available directly in TradingView. The ICE BofA indices represent the industry standard for measuring corporate bond spreads. The primary data sources are FRED:BAMLH0A0HYM2, the ICE BofA US High Yield Index Option-Adjusted Spread, and FRED:BAMLC0A0CM, the ICE BofA US Corporate Index Option-Adjusted Spread for investment grade bonds. These indices measure the spread of corporate bonds over Treasury securities of similar duration, expressed in basis points. Option-adjusted spreads account for embedded options in corporate bonds, providing a cleaner measure of credit risk than simple yield spreads. The methodology developed by ICE BofA is widely used by institutional investors and central banks for monitoring credit conditions. The indicator offers two modes. The HY-IG excess spread mode calculates the difference between high yield and investment grade spreads, isolating the pure compensation for below-investment-grade credit risk. This measure is less affected by broad interest rate movements. The HY-only mode tracks the absolute high yield spread, capturing both credit risk and the overall level of risk premiums in the market. Interpreting the Regimes Credit conditions are classified into four regimes based on Z-scores calculated from the spread proxy. The Stress regime occurs when spreads reach extreme levels, typically above a Z-score of 2.0. At this point, credit markets are pricing in significant default risk and economic deterioration. Historically, stress regimes have coincided with recessions, financial crises, and major market dislocations. The 2008 financial crisis, the 2011 European debt crisis, the 2016 commodity collapse, and the 2020 pandemic all triggered credit stress regimes. The Elevated regime, between Z-scores of 1.0 and 2.0, indicates above-normal risk premiums. Credit conditions are tightening. This often occurs in the build-up to stress events or during periods of uncertainty. Risk management should be heightened, and exposure to credit-sensitive assets may be reduced. The Normal regime covers Z-scores between -1.0 and 1.0. This represents typical credit conditions where spreads fluctuate around historical averages. Standard investment approaches are appropriate. The Low regime occurs when spreads are compressed below a Z-score of -1.0. Investors are accepting below-average compensation for credit risk. This can indicate complacency, strong economic confidence, or excessive risk-taking. While often associated with favorable conditions, extremely tight spreads sometimes precede sudden reversals. Credit Cycle Dynamics Beyond static regime classification, the indicator tracks the direction and acceleration of spread movements. This reveals where credit markets stand in the credit cycle. The Deteriorating phase occurs when spreads are elevated and continuing to widen. Credit conditions are actively worsening. This phase often precedes or coincides with economic downturns. The Recovering phase occurs when spreads are elevated but beginning to narrow. The worst may be over. Credit conditions are improving from stressed levels. This phase often accompanies the early stages of economic recovery. The Tightening phase occurs when spreads are low and continuing to compress. Credit conditions are very favorable and improving further. This typically occurs during strong economic expansions but may signal building complacency. The Loosening phase occurs when spreads are low but beginning to widen from compressed levels. The extremely favorable conditions may be normalizing. This can be an early warning of changing sentiment. Relationship to Economic Activity The predictive power of credit spreads for economic activity is well-documented. Gilchrist and Zakrajsek found that the excess bond premium predicts GDP growth, industrial production, and unemployment rates over horizons of one to four quarters. When credit spreads spike, the cost of corporate borrowing increases. Companies may delay or cancel investment projects. Reduced investment leads to slower growth and eventually higher unemployment. The transmission mechanism runs from financial conditions to real economic activity. Conversely, tight credit spreads lower borrowing costs and encourage investment. Easy credit conditions support economic expansion. However, excessively tight spreads may encourage over-leveraging, planting seeds for future stress. Practical Application For equity investors, credit spreads provide context for market risk. Equities and credit often move together because both reflect corporate health. Rising credit spreads typically accompany falling stock prices. Extremely wide spreads historically have coincided with equity market bottoms, though timing the reversal remains challenging. For fixed income investors, spread regimes guide sector allocation decisions. During stress regimes, flight to quality favors Treasuries over corporates. During low regimes, spread compression may offer limited additional return for credit risk, suggesting caution on high yield. For macro traders, credit spreads complement other indicators of financial conditions. Credit stress often leads equity volatility, providing an early warning signal. Cross-asset strategies may use credit regime as a filter for position sizing. Limitations and Considerations FRED data updates with a lag, typically one business day for the ICE BofA indices. For intraday trading decisions, more current proxies may be necessary. The data is most reliable on daily timeframes. Credit spreads can remain at extreme levels for extended periods. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. The 2008 crisis saw spreads remain elevated for many months before normalizing. The indicator is calibrated for US credit markets. Application to other regions would require different data sources such as European or Asian credit indices. The relationship between spreads and subsequent economic activity may vary across market cycles and structural regimes. References Collin-Dufresne, P., Goldstein, R.S., and Martin, J.S. (2001). The Determinants of Credit Spread Changes. Journal of Finance, 56(6), 2177-2207. Gilchrist, S., and Zakrajsek, E. (2012). Credit Spreads and Business Cycle Fluctuations. American Economic Review, 102(4), 1692-1720. Krishnamurthy, A., and Muir, T. (2017). How Credit Cycles across a Financial Crisis. Working Paper, Stanford University.
Indikator Pine Script®
oleh EdgeTools
2
Macro Timing Window Signal ⏱️ Macro Timing Window Signal – Check/X Indicator This indicator displays a green check mark ✔️ or red X ✖️ in the top-right corner of the chart based on a repeating macro time cycle that divides every hour into active and inactive windows. How it works: • ✔️ Green Check (Active Macro Window): Appears from xx:45 → xx:15 of the next hour (30-minute macro window). • ✖️ Red X (Inactive Macro Window): Appears from xx:16 → xx:44 (mid-hour cooldown window). • Optional flash signal at the exact macro flip points (xx:45, xx:00, xx:15) to highlight transitions. • Supports sound alerts so you never miss the start or end of a macro window. This tool is designed for traders who incorporate macro-driven time cycles, liquidity sessions, or algorithmic delivery windows into their strategy. The display is fixed on-screen, clean, and unobtrusive, ensuring instant recognition of the current macro state without cluttering the chart.
Indikator Pine Script®
oleh chadp9
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Strategi Pine Script®
oleh nakphanan
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite Data: IntoTheBlock Overview & Philosophy FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network. Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support). This indicator answers two questions simultaneously: Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)? Valuation: Is this happening at a market bottom or a top? The "Alpha" (Wall vs. Vacuum) Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies. 1. The "Wall" (Positive Z-Score Bars) What it is : A statistically high number of addresses are at breakeven. The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor. 2. The "Vacuum" (Negative Z-Score Bars) What it is : A statistically low number of addresses are at breakeven. The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall. Methodology The indicator constructs a composite view using two premium metrics from IntoTheBlock: 1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis. - Normalization: We apply a rolling Z-Score (Standard Deviation) to this data. - The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched. 2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction. Deep Value (< 1.0): Price is below the average "Fair Value" of the network. Overheated (> 3.0): Price is significantly extended above the "Fair Value." Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations. How to Read the Indicator The chart is visualized as a Noise-Filtered Heatmap. 1. The Bars (Intensity) Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall. Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air. Gray/Ghosted: Noise. Routine market activity; no significant signal. 2. The Colors (Valuation Context) The color tells you why the friction is happening: 🟦 Deep Blue (The "Capitulation Buy"): Signal: High Friction + Low MVRV. Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms. 🟥 Dark Red (The "FOMO Sell"): Signal: High Friction + High MVRV. Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops. 🟨 Yellow/Orange (The "Trend Battle"): Signal: High Friction + Neutral MVRV. Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction). Visual Guide & Features 10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top). Noise Filter A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible. Data Check Monitor A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time. Settings Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles. Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color. Show Status Table : Toggles the on-screen dashboard. Disclaimer This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action. Tags bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
Indikator Pine Script®
oleh Rob_Maths
window//@version=5 indicator("Smart Money Time Windows (GMT+3:30)", overlay=true) // ✅ Window 1 — 08:30 to 09:05 Tehran Time w1 = time(timeframe.period, "0830-0905", "Asia/Tehran") // ✅ Window 2 — 13:50 to 14:40 Tehran Time w2 = time(timeframe.period, "1350-1440", "Asia/Tehran") // ✅ Window 3 — 17:15 to 18:00 Tehran Time w3 = time(timeframe.period, "1715-1800", "Asia/Tehran") bgcolor(not na(w1) ? color.new(color.blue, 85) : na) bgcolor(not na(w2) ? color.new(color.orange, 85) : na) bgcolor(not na(w3) ? color.new(color.purple, 85) : na)
Indikator Pine Script®
oleh Imanhamzezade
Renko Scalp ScannerThis scanner is optimized for short term bursts for Renko. DESCRIPTION: This indicator scans the 7 major forex pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) on 1-pip Renko charts. It ranks them from BEST (#1, top row) to WORST (#7, bottom row) based on a predictive score (0-100) that combines LIVE momentum (current run length, whipsaws, brick timing) + 24-HOUR HISTORICAL consistency (clean long runs, stability). Higher score = longer, cleaner, more predictable runs ahead (backtested 74% hit rate for 5+ brick continuations). HOW TO USE THE TABLE: 1. Add to a 1-second Renko chart (Traditional, Box Size: 0.0001 for non-JPY; 0.01 for JPY pairs). 2. RANK: Position 1–7 (green highlight on #1 = switch to this pair NOW). 3. PAIR: Symbol + direction arrow (↑=buy bias, ↓=sell bias). 4. SCORE: 0–100 total (≥85=monster run; ≥75=strong; ≥60=decent; <60=avoid). 5. RUN │ HIST% │ SEC: Current live run length │ % of 24h runs that were clean 8+ bricks │ Live avg seconds per brick (ideal 5–12s). 6. Trade the #1 pair in the arrow direction until whipsaw or score drops <75. Set alerts for score ≥83. Backtested on 1-year data: Catches 84% of 10+ brick runners. Refreshes every second.
Indikator Pine Script®
oleh cechapman
UNDETECTED FX - Psychologic LevelsThis indicator automatically plots major 250-pip psychological levels on XAUUSD and highlights the price zones around them. These levels act as strong reaction points where liquidity, reversals, and institutional activity commonly occur. What the Indicator Does ✔ Plots every 250-pip level starting from a user-defined base (e.g., 4050 → 4075 → 4100 → 4125 → …) ✔ Each level is represented by a thick black horizontal line for maximum visual clarity ✔ Around every 250-pip level, the indicator draws a liquidity zone Top of zone: +200 pips Bottom of zone: –200 pips (configured as ± zoneHalf in settings) ✔ Uses extend: both, so levels stretch across the entire chart and stay fixed, no matter how far you scroll ✔ Zones are filled with a customizable color for clear premium/discount visualization ✔ The indicator never repaints and requires no updates after drawing — all levels are fixed on their price coordinates Why It’s Useful 🔹 Helps quickly identify institutional levels where gold often reacts 🔹 Acts as a framework for scalping, intraday trading, and swing bias 🔹 Makes it easy to spot liquidity sweeps, rejections, and premium/discount areas 🔹 Clearly shows market structure breaks around key psychological levels 🔹 Forces discipline by creating predefined, fixed levels for trading decisions Best Use Case XAUUSD scalpers Intraday traders who rely on precision entries Traders who use psychological levels, liquidity grabs, or smart-money concepts Anyone wanting a clean, non-cluttered chart with high-impact levels only
Indikator Pine Script®
oleh Undetectedd
AI Market Weather Forecast ProAI Market Weather Forecast Pro - Advanced Trading Indicator Overview AI Market Weather Forecast Pro is an innovative multi-timeframe trading system that uses global meteorological metaphors to visualize market conditions. By analyzing dimensional latitude regions, it transforms complex market data into intuitive global weather forecasts and temperature readings, helping traders quickly assess market sentiment and trend strength. Core Features 🌍 Global Weather System - Temperature Scale: -51°C to +51°C market temperature readings - Weather Classifications: 9 distinct weather conditions from Freezing Cold to Scorching Heat - Multi-Latitude Analysis: 5 climate zones representing different regional AI parameters - Dynamic Temperature Engine: AI-powered algorithm calculates market "temperature" in real-time - Trend Direction Indicator: Clear bullish/bearish/neutral classification 🌡️ Temperature-Based Signals Hot Weather (Bullish Conditions): - 🌡️ Scorching (35°C+): Strong Bull - Extreme bullish conditions - ☀️ Hot (25°C-35°C): Bullish - Strong upward momentum - 🌤️ Sunny (15°C-25°C): Mild Bull - Moderate bullish trend - ⛅ Partly Cloudy (5°C-15°C): Weak Bull - Light bullish bias Neutral Weather: - ☁️ Overcast (-5°C to 5°C): Neutral - Consolidation/ranging market Cold Weather (Bearish Conditions): - 🌧️ Light Rain (-15°C to -5°C): Weak Bear - Light bearish bias - 🌨️ Sleet (-25°C to -15°C): Mild Bear - Moderate bearish trend - ❄️ Blizzard (-35°C to -25°C): Bearish - Strong downward momentum - 🧊 Freezing Cold (-35°C-): Strong Bear - Extreme bearish conditions 📊 Five Latitude Climate Zones Detects market conditions across 5 distinct "latitude zones", each representing progressively longer timeframes: Each zone displays real-time weather status: ☀️ Clear (bullish), ❄️ Snow (bearish), or ☁️ Cloudy (neutral) 🎨 Advanced Visualization Color-Coded Background: - Orange/Yellow spectrum for bullish temperatures - Gray for neutral conditions - Blue spectrum for bearish temperatures - Intensity increases with temperature extremes Smart Weather Labels: - Emoji-based weather icons for instant recognition - Temperature readings in degrees - Auto-positioned to avoid chart clutter - Updates dynamically with trend changes Comprehensive Weather Panel: - Current weather condition - Market temperature (°C) - Trend direction classification - Real-time status of all 5 latitude zones - Current price and percentage change Configuration Options Display Settings - Panel Position: 9 position options (corners, edges, center) - Show Weather Panel: Toggle weather information panel on/off - Show Background Color: Toggle background coloring on/off - Show Weather Labels: Toggle weather labels on/off - Background Display Days: Control how many days of coloring to display (1-30 days) Alert System Pre-configured alerts include: - Weather Warming: Alert when temperature rises above 15°C - Weather Cooling: Alert when temperature falls below -15°C - Strong Trend Change: Alert when trend shifts to "Strong Bull" or "Strong Bear" Information Panel Metrics Real-time display includes: - Current Weather: Visual weather condition with emoji - Market Temperature: Numerical temperature reading (°C) - Trend Direction: Clear classification (Strong Bull/Bullish/Mild Bull/Weak Bull/Neutral/Weak Bear/Mild Bear/Bearish/Strong Bear) - Latitude Status: Weather conditions across all 5 climate zones - Price & Change: Current price and percentage change How to Interpret Temperature Readings - Above +25°C: Strong bullish conditions, consider long positions - +15°C to +25°C*: Moderate bullish, good for trend following - +5°C to +15°C: Mild bullish, cautious long bias - -5°C to +5°C*: Neutral range, wait for clarity or range trade - -15°C to -5°C: Mild bearish, cautious short bias - -25°C to -15°C: Moderate bearish, good for short positions - Below -25°C: Strong bearish conditions, consider short positions Best Practices 1. Temperature Extremes: Focus on temperatures above +25°C or below -25°C for clear signals 2. Temperature Trend: Watch for rising/falling temperature trends, not just absolute values 3. Combine with Barometer*: Use alongside AI Market Barometer Pro for comprehensive analysis 4. Background Color: Quick visual assessment of overall market climate Recommended Timeframes - Scalping: 1-minute charts - *Day Trading: 5-minute, 15-minute charts Pricing - Monthly Subscription: $199 USD - Annual Subscription: $2,000 USD (Save $380 - equivalent to 2 months free!) Technical Requirements - TradingView Pro, Pro+, or Premium account (required for multi-timeframe functionality) - Compatible with all markets: Forex, Crypto, Stocks, Indices, Commodities - Works on all timeframes from 1-minute to Monthly Support & Contact For questions, technical support, or licensing inquiries: Email: bikiller.com@gmail.com Disclaimer This indicator is a tool to assist with trading decisions. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always use proper risk management and never risk more than you can afford to lose. The AI algorithms and temperature calculations are based on historical price patterns and technical analysis, not predictive guarantees. What Makes This Different? Unlike traditional indicators, AI Market Weather Forecast Pro: - ✅ Uses intuitive meteorological metaphors for instant comprehension - ✅ Analyzes multiple timeframe combinations simultaneously - ✅ Calculates dynamic market "temperature" readings - ✅ Provides 5-zone latitude system for confirmation - ✅ Offers clear visual weather classifications - ✅ Features unique temperature-based trend strength measurement - ✅ Complements AI Market Barometer Pro for complete market analysis Transform complex multi-timeframe analysis into simple weather forecasts. Know the market climate before you trade. Perfect Companion to AI Market Barometer Pro When used together with AI Market Barometer Pro: - Barometer provides directional signals with AI confidence scores - Weather provides overall market climate and temperature readings - Combined gives you both precise entry signals AND broader market context - Result: More informed trading decisions with better timing © 2024 AI Market Weather Forecast Pro. All rights reserved. Proprietary algorithms and methodologies protected.
Indikator Pine Script®
oleh max1949
Stage 2 Pullback Swing indicatorThis scanner is built for swing traders who want high-probability pullbacks inside strong, established uptrends. It targets names in a confirmed Stage 2 bull phase (Weinstein model) that have pulled back 10–30% from a recent swing high on light selling volume, while still respecting fast EMAs. Goal: find powerful uptrending stocks during controlled dips before the next leg higher. What it looks for Strong prior uptrend: price above the 50 and 200 SMAs, momentum positive over multiple timeframes Confirmed Stage 2: price above a rising 30-week MA on the weekly chart Pullback depth: 10–30% off recent swing highs—not too shallow, not broken Pullback quality: range contained, no panic selling, trend structure intact EMA behavior: price near EMA10 or EMA20 at signal time Volume contraction: sellers fading throughout the pullback Bullish shift: green candle back in trend direction Why this matters This setup hints at institutions defending positions during a temporary dip. Strong stocks pull back cleanly with declining volume, then resume the primary trend. This script alerts you when those conditions align. Best way to use Filter a strong universe before applying—quality tickers only Pair with clear trade plans: risk defined by prior swing low or ATR Trigger alerts instead of hunting charts manually Intended for Swing traders who want momentum continuation setups Traders who prefer entering on controlled retracements Anyone tired of chasing extended breakouts
Indikator Pine Script®
oleh tanveeralims
Institutional Zones ProInstitutional Zones Pro – Supply/Demand Auto Detection + BOS Logic Institutional Zones Pro is a smart market-structure strategy designed to automatically detect and visualize institutional price levels such as Supply and Demand zones, Break of Structure (BOS) shifts, and Points of Interest (POI). The script maps actionable trading areas in real time, offering clarity on trending phases, reversals, and premium vs. discounted pricing conditions. 🚀 Key Features ✔ Automatic Supply & Demand zones with real-time extension ✔ Break of Structure (BOS) detection based on zone violation ✔ POI labeling for precise entry areas ✔ Non-repainting structure through delayed confirmation logic ✔ ATR-based dynamic zone sizing for all markets ✔ Visual differentiation between current, broken, and active levels ✔ Compatibility with intraday & swing timeframes 🔍 How It Works The strategy identifies significant swing highs and lows using fractal structure. Once a valid pivot forms, a Demand or Supply zone is plotted. When price breaks above/below a given zone, it is automatically transformed into a BOS level. Zones extend dynamically until price interacts with them, providing clear reaction points. Breaks may convert former zones into structural confirmation layers. 💼 Suitable For: ✔ Futures (E-mini NASDAQ, S&P, Dow…) ✔ Major FX pairs ✔ Crypto assets ✔ Stocks & Indexes Works best when applied to 5m–1h intraday charts or Daily swing environments. 🎯 What Traders Use It For 🔹 Confirmation of institutional liquidity zones 🔹 Waiting for price to revisit previous imbalances 🔹 Identifying where smart money accumulates/distributes 🔹 Anticipating reversals using previous BOS zones If applied correctly, the script becomes a full-map structure for: ➤ planning entries, ➤ setting targets, ➤ and validating trend continuation or reversal. This tool does not generate guaranteed signals—rather, it provides institutional-style structure mapping so traders can objectively define risk-reward decisions.
Strategi Pine Script®
oleh FXTOOLS212
1
Sunit's Higher Low / Lower Low Trend Shift v6This indicator identifies Higher Lows (HL) and Lower Lows (LL) to help traders visually read market structure and trend direction following classic Dow Theory principles. It detects pivot lows on the chart and compares new lows to previous pivot lows: HL (Higher Low) = structure strengthening, buyers stepping in higher LL (Lower Low) = structure weakening, sellers pushing price lower Based on these signals, the indicator also determines trend bias: Uptrend when new lows form as HLs Downtrend when new lows form as LLs A light background color can optionally highlight the active trend direction. 🔍 What the Indicator Shows HL markers (green) at pivot lows forming above the previous low LL markers (red) at pivot lows forming below the previous low Trend background shading Green tint = Uptrend bias Red tint = Downtrend bias Pivot detection uses adjustable swing sensitivity for custom responsiveness This gives a clean, real-time visual read of market structure shifts. 🎯 Why It’s Useful HLs and LLs form the foundation of trend analysis. They help traders: ✔ Identify trend reversals early ✔ Confirm existing trends ✔ Improve breakout timing ✔ Filter trades by trend direction ✔ Understand market structure without indicators lag Because it reacts to price swings rather than moving averages, it’s both faster and cleaner for structure analysis. 🧠 How Traders Use It Swing traders: confirm trend alignment Breakout traders: enter only when HL structure supports the move ORB / Intraday traders: avoid trading against LL sequence Position traders: use swing lows as structure-based stops Trend followers: stay on the right side of the market Works well on: Stocks Indices Crypto Forex Futures Best timeframes: 1h, 4h, daily, but usable on any chart. ⚠️ Disclaimer This tool highlights price structure patterns, not buy/sell signals. Use together with confirmation tools, trend filters, and risk management. No financial advice.
Indikator Pine Script®
oleh Sunitkumar
Adaptive DCA Alpha Engine: Smart RSI, ADX & VIX AveragingAdaptive DCA Alpha Engine: Smart Averaging Based on RSI, ADX & VIX for Maximum Returns The **Adaptive DCA Alpha Engine** is an advanced, proprietary strategy framework designed to overcome the limitations of standard Dollar-Cost Averaging (DCA). While Standard DCA buys a fixed dollar amount at fixed intervals, this Enhanced DCA automatically adjusts the investment size based on real-time market conditions. This system is built to generate significant **alpha vs Standard DCA**, providing a robust methodology for long-term investors seeking to optimize their entry prices and lower their average cost. Key Adaptive Multipliers & Features: The strategy employs five primary multipliers to calculate a variable purchase amount: 1. **RSI Band Weighting:** Automatically adjusts the buy amount. You **Buy MORE** when the asset is oversold (low RSI) and **Buy LESS or SKIP** entirely when the asset is extremely overbought (high RSI), ensuring you buy fear and avoid euphoria. 2. **Drawdown Bonus:** Aggressively increases the position size when the price is significantly below recent highs, treating the asset as "on sale". This bonus can even be configured to **override trend penalties** during extreme market stress. 3. **Regime Detection (ADX):** Uses the Average Directional Index (ADX) to identify market phases. It applies a **Trend Penalty** (reducing position size) when the market is trending downwards (falling knife scenario). 4. **VIX Integration (Equities Only):** Boosts allocation when market volatility (VIX) is elevated, allowing you to buy more aggressively during periods of widespread panic and fear, often requiring RSI oversold conditions to trigger. 5. **Dynamic RSI:** (Advanced feature) Adapts the RSI thresholds (oversold/overbought levels) to the specific asset's historical behavior using percentile rankings, making it effective for volatile assets like Bitcoin, where fixed RSI levels might be ineffective. Risk Management & Transparency: * **Max Total Multiplier Cap:** Includes a critical safety feature to prevent over-concentration by setting a cap (default 6.0x) on the total multiplier applied by the combined features. * **Realistic Execution:** Models orders realistically: signals are generated at the bar close but executed at the **next bar open**, accounting for expected slippage (configurable). * **Full Comparison:** The script includes a live display panel showing a direct comparison between the Enhanced DCA performance metrics (Net Profit, Average Entry Price, Alpha) and the Standard DCA benchmark. **This invite-only script provides granular control and intelligent automation to truly enhance your dollar-cost averaging strategy. Details at cryptoummah**
Strategi Pine Script®
oleh CryptoUmmah
ICT Killzone & Liquidity Sweep DetectorICT Killzone & Liquidity Sweep Detector A powerful and clean ICT/SMC tool that combines: • Accurate Killzone session boxes (Asia, London, NY AM, NY Lunch, NY PM) with customizable time & colors • Real-time High/Low pivot lines from each killzone • Smart Liquidity Sweep Detection with visual "Turtle on Fire" emoji when price wicks into old highs/lows without closing beyond them • Automatic pivot mitigation: lines stop extending when price closes beyond the level (body break) or when swept by wick • Optional midpoint lines of each killzone • Extend pivots: "Until Mitigated" (default) or "Past Mitigation" • Choose to extend only the most recent session or all sessions • Built-in alerts when a killzone high or low is broken by close • Session limit & timeframe filter to keep the chart clean • Fully customizable colors, labels, line styles, transparency, and text Features: • Timezone support (default New York – auto handles DST) • Works perfectly on all timeframes (recommended ≤ 30m for best visuals) • Smart drawing cleanup – only keeps the last N sessions (default 8) • High performance with proper array management Perfect for traders following ICT concepts such as: - Killzone trading - Order block / FVG confirmation after liquidity sweeps - Judas Swing detection - Market structure shifts after raid on old highs/lows One of the cleanest and most accurate public ICT Killzone + Liquidity Sweep indicators available on TradingView. Enjoy responsibly
Indikator Pine Script®
oleh Captain_Chopin