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Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach. This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits. 🔎 Features Four Filter Types 1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings. Real world application for low pass filter - Used in power supplies to provide a clean, stable power level. 2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility. Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity. 3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility. Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to. 4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action. Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else Configurable Parameters • Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter. • Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay). • Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart. • Source Selection – Apply filters to close, open, high, low, or custom sources. Histograms for Comparison • BS–LP Histogram – Shows distance between Band Stop and Low Pass filters. • BP–HP Histogram – Highlights differences between Band Pass and High Pass filters. Histograms give the visualization of a pseudo-MACD style indicator Visual & Informational Aids • Customizable colors for each filter line. • Optional zero-line for histogram reference. • On-chart info table summarizing active filters, cutoff settings, histograms, and filter order. 📊 Use Cases Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction. Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns. Noise Suppression – Deploy Band Stop to remove specific choppy frequencies. Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
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TheUltimator5 tarafından
BTC Power Law Valuation BandsBTC Power Law Rainbow A long-term valuation framework for Bitcoin based on Power Law growth — designed to help identify macro accumulation and distribution zones, aligned with long-term investor behavior. 🔍 What Is a Power Law? A Power Law is a mathematical relationship where one quantity varies as a power of another. In this model: Price ≈ a × (Time)^b It captures the non-linear, exponentially slowing growth of Bitcoin over time. Rather than using linear or cyclical models, this approach aligns with how complex systems, such as networks or monetary adoption curves, often grow — rapidly at first, and then more slowly, but persistently. 🧠 Why Power Law for BTC? Bitcoin: Has finite supply and increasing adoption. Operates as a monetary network , where Metcalfe’s Law and power laws naturally emerge. Exhibits exponential growth over logarithmic time when viewed on a log-log chart . This makes it uniquely well-suited for power law modeling. 🌈 How to Use the Valuation Bands The central white line represents the modeled fair value according to the power law. Colored bands represent deviations from the model in logarithmic space, acting as macro zones: 🔵 Lower Bands: Deep value / Accumulation zones. 🟡 Mid Bands: Fair value. 🔴 Upper Bands: Euphoria / Risk of macro tops. 📐 Smart Money Concepts (SMC) Alignment Accumulation: Occurs when price consolidates near lower bands — often aligning with institutional positioning. Markup: As price re-enters or ascends the bands, we often see breakout behavior and trend expansion. Distribution: When price extends above upper bands, potential for exit liquidity creation and distribution events. Reversion: Historically, price mean-reverts toward the model — rarely staying outside the bands for long. This makes the model useful for: Cycle timing Long-term DCA strategy zones Identifying value dislocations Filtering short-term noise ⚠️ Disclaimer This tool is for educational and informational purposes only . It is not financial advice. The power law model is a non-predictive, mathematical framework and does not guarantee future price movements . Always use additional tools, risk management, and your own judgment before making trading or investment decisions.
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RWCS_LTD tarafından
Lanzadera)The Lanzadera Indicator is designed to identify market momentum and potential breakout opportunities. It works as a dynamic tool that helps traders detect price acceleration zones, providing clear signals for possible entries and exits. With customizable settings and a user-friendly design, this indicator is suitable for both beginners and experienced traders. Use it to: Spot momentum shifts before major price movements. Enhance your breakout trading strategies. Gain a clearer view of market dynamics with visual alerts. This indicator is built for traders who want precision, discipline, and a professional edge in their decision-making process.
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THEGREATNAPLESTRADERX tarafından
STOCK EXCHANGE + SILVER BULLET FRAMESThis script is an updated version of the " NY/LDN/TOK Stock Exchange Opening Hours " script. Objective Displays global stock exchange sessions (New York, London, Tokyo) with session frames, highs/lows, and opening lines. Includes ICT Silver Bullet windows (NY, London, Tokyo) with configurable shading. Past sessions are frozen at close, ongoing sessions update dynamically until closure, and upcoming sessions are pre-drawn. Fully customizable with options for weekends, labels, padding, opacity, and individual session toggles. It is designed to help traders quickly interpret market context, liquidity zones, and session-based price behavior. Main Features Past sessions (historical data) • Session Frames: • Each box is frozen at the session’s close. • The left edge aligns with the opening time, while the right edge is fixed at the closing time. • The top and bottom reflect the highest and lowest prices during the session. • Session Labels: • Names (NY, LDN, TOK) displayed above the frame, aligned left, in the same color as the frame. • Opening Lines: • Vertical dotted lines mark the start of each session. Ongoing and upcoming sessions (live market) • Dynamic Session Frames: • The right edge is locked at the future close time. • The top and bottom update in real time as new highs and lows form. • Labels and Lines: • The session label is visible above the active frame. • Opening lines are drawn as soon as the session begins. Silver Bullet Time Windows (ICT concept) • Highlights key liquidity windows within sessions: • New York: 10:00–11:00 and 14:00–15:00 • London: 08:00–09:00 • Tokyo: 09:00–10:00 • Silver Bullet zones are shaded with configurable opacity (default 5%). Customization and Options • Enable or disable individual sessions (NY, London, Tokyo). • Toggle weekend display (frames and Silver Bullets). • Adjust label size, padding, and text visibility. • Control frame opacity (default 0%). • Optimized memory management with automatic pruning of old graphical objects.
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julbbnj tarafından
Marcius Studio® - Cross-Asset Correlator™Cross-Asset Correlator™ — a pair-trading strategy that identifies correlation breakdowns between two assets and captures profit opportunities from market inefficiencies. The strategy enters trades when the correlation drops below a set threshold and closes positions once correlation recovers. The main concept is to exploit temporary divergence between two assets by going long the stronger one and short the weaker one, aiming to profit when their correlation reverts. Important : This script illustrates asset correlation concepts for educational purposes only. It's not for live trading—requires adjustments and offers no performance guarantees. Always apply risk management. TradingView Limitation By default, TradingView’s built-in Strategy interface does not support backtesting with two different assets . To overcome this, the script is implemented as an indicator with a fully custom backtesting engine that calculates PnL, trades, and performance statistics directly on the chart. Idea Markets move in clusters : altcoins follow BTC, memecoins track Solana, L2 projects mirror Ethereum. But correlations aren’t perfect—temporary divergences create pricing inefficiencies. The logic: When an asset lags or overshoots its usual correlation, it’s a mispricing opportunity. Trade the reversion: buy undervalued divergence, sell overextended convergence. The market eventually corrects, but the inefficiency window allows profit before realignment. OKX Signal Bot Integration This script includes a built-in interface for OKX Signal Bot . It can generate structured JSON alerts (ENTER / EXIT, long / short) and directly manage trades on OKX exchange . This allows seamless automation of correlation-based strategies without manual order execution. Note : The OKX Signal Bot (for demo use only) assists with alerts & trade management but does not ensure profits. You are fully responsible for your trades—always apply risk management. Strategy Parameters Symbol 1 / Symbol 2 : trading instruments to be analyzed. SMA Period : smoothing period for price averages. Correlation Period : number of bars used to calculate correlation coefficient. Upper Correlation Threshold : level above which trades are closed. Lower Correlation Threshold : level below which new trades are opened. percentage_investment (%) : allocation per entry signal (used for OKX integration). Example Settings OKX:FARTCOINUSDT.P / OKX:PENGUUSDT.P Timeframe : 1H SMA Period : 60 Correlation Period : 25 Upper Threshold : 0.9 Lower Threshold : 0.1 percentage_investment : 10% How the Code Works Retrieves closing prices of two selected assets. Calculates correlation coefficient and moving averages. When correlation breaks below the lower threshold, the script opens a pair trade (long/short depending on SMA relation). When correlation recovers above the upper threshold, all open trades are closed. Real-time alerts are generated in JSON format for OKX bots (ENTER/EXIT signals). Built-in backtesting engine tracks PnL, trades, and statistics (7d / 30d / total). Visual labels mark entries, exits, and PnL results directly on the chart. Disclaimer Trading involves risk — always do your own research (DYOR) and seek professional financial advice. We are not responsible for any potential financial losses.
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marcius-studio tarafından
Multi SMA by GreenDecodeThis indicator, created by GreenDecode, plots eight Simple Moving Averages (SMAs) with customizable lengths and resolutions. Each SMA can be toggled on or off, and the colors are distinctly set for easy identification: SMA1 (yellow), SMA2 (cyan), SMA3 (green), SMA4 (red), SMA5 (blue), SMA6 (lightblue), SMA7 (teal), and SMA8 (gold). The SMAs are calculated to avoid repainting by using the 'lookahead=barmerge.lookahead_off' parameter, ensuring historical accuracy. Ideal for technical analysis to identify trends and potential reversal points on various timeframes.
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SALMANSHAIKH tarafından
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum. Core Components: Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal: MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis. Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions. Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time. Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction: Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases. Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases. This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
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wjstienstra tarafından
MACD BILE 📊 How to Interpret Green histogram → strong bullish momentum, favoring buy/long setups. Red histogram → strong bearish momentum, favoring sell/short setups. MACD crossing above Signal → buy signal. MACD crossing below Signal → sell signal. Because the cycle is adaptive, the indicator becomes more responsive in volatile markets and more stable during sideways conditions, reducing noise compared to the standard fixed-period MACD. 🔑 Key Advantages over Standard MACD Adaptive to market conditions → no need to manually choose fixed periods. Reduces false signals during sideways or ranging markets. Provides clearer trend detection, especially in highly volatile assets such as crypto, forex, and stocks.
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duy-le tarafından
SMC - Complete AnalysisMC COMPLETE TRADING SYSTEM 📊 OVERVIEW Professional Smart Money Concepts indicator with automated BUY/SELL signals, Entry/SL/TP prices, and 4-level market analysis for disciplined trading. 🎯 MAIN FEATURES 🟢 BUY/🔴 SELL Signals - Clear entry signals with exact prices 📍 ENTRY/SL/TP - Automated price calculations 🎪 Discipline Mode - High-probability setups only ⚡ Confluence Scoring - 6-factor signal validation 🏗️ 4 ANALYSIS LEVELS Level 1: Market Structure BOS/CHoCH/MSS detection Displacement & Range analysis Internal structure mapping Level 2: Time-Based Kill Zones (Asian/London/NY) Session tracking Daily/Weekly levels Level 3: Entry & Risk Smart entry triggers Auto risk calculator Target projections Level 4: Advanced Analytics Auto Fibonacci levels Trend line detection Smart money flow analysis Strength meter ⚙️ SETTINGS Default (Relaxed for more signals): Minimum Confluence: 3/6 Kill Zone Required: OFF Strength Bias Required: OFF Risk per Trade: 2% Risk:Reward: 3:1 📈 RECOMMENDED PAIRS EURUSD (Beginners) GBPUSD (Experienced) XAUUSD (Best SMC signals) EURJPY (Good structure) ⏰ BEST TIMEFRAMES H1 - Recommended balance H4 - High quality signals M30 - More frequent signals 🎯 TRADING RULES Trade ONLY on BUY/SELL signals Use exact ENTRY/SL/TP prices Set orders immediately Wait for SL HIT or TP HIT No modifications allowed 🔒 DISCIPLINE MODE Shows signals only when confluence ≥3/6 All other features hidden by default Simple status table Forces disciplined trading 💡 USAGE Wait for BUY or SELL signal Note ENTRY/SL/TP prices Execute trade exactly as shown Hold until exit signal Repeat ⚠️ IMPORTANT No signal = No trading 2% risk maximum per trade London/NY sessions preferred Patience is key to success 🚀 Professional SMC system for consistent profitability through disciplined trading!
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chadayu77 tarafından
1
Elliott Wave - Impulse + Corrective Detector (Demo) เทคนิคการใช้ สำหรับมือใหม่ ดูเฉพาะ Impulse Wave ก่อน เทรดตาม direction ของ impulse ใช้ Fibonacci เป็น support/resistance สำหรับ Advanced ใช้ Corrective Wave หาจุด reversal รวม Triangle กับ breakout strategy ใช้ Complex correction วางแผนระยะยาว ⚙️ การปรับแต่ง ถ้าเจอ Pattern น้อยเกินไป ลด Swing Length เป็น 3-4 เพิ่ม Max History เป็น 500 ถ้าเจอ Pattern เยอะเกินไป เพิ่ม Swing Length เป็น 8-12 ปิด patterns ที่ไม่ต้องการ สำหรับ Timeframe ต่างๆ H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ ข้อควรระวัง Elliott Wave เป็น subjective analysis ใช้ร่วมกับ indicators อื่นๆ Backtest ก่อนใช้เงินจริง Pattern อาจเปลี่ยนได้ตลอดเวลา 🎓 สรุป โค้ดนี้เป็นเครื่องมือช่วยวิเคราะห์ Elliott Wave ที่: ✅ ใช้งานง่าย ✅ ตรวจจับอัตโนมัติ ✅ มี confidence scoring ✅ แสดงผล Fibonacci levels ✅ ส่ง alerts เรียลไทม์ เหมาะสำหรับ: Trader ที่ต้องการใช้ Elliott Wave ในการวิเคราะห์เทคนิค แต่ไม่มีเวลานั่งหา pattern เอง 💡 Usage Tips For Beginners Focus on Impulse Waves first Trade in the direction of impulse Use Fibonacci as support/resistance levels For Advanced Users Use Corrective Waves to find reversal points Combine Triangles with breakout strategies Use Complex corrections for long-term planning ⚙️ Customization If You See Too Few Patterns Decrease Swing Length to 3-4 Increase Max History to 500 If You See Too Many Patterns Increase Swing Length to 8-12 Turn off unwanted pattern types For Different Timeframes H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ Important Warnings Elliott Wave is subjective analysis Use with other technical indicators Backtest before using real money Patterns can change at any time 🔧 Troubleshooting No Patterns Showing Check if you have enough price history Adjust Swing Length settings Make sure pattern detection is enabled Too Many False Signals Increase confidence threshold requirements Use higher timeframes Combine with trend analysis Performance Issues Reduce Max History setting Turn off unnecessary visual elements Use on liquid markets only 📈 Trading Applications Entry Strategies Wave 3 Entry: After Wave 2 completion (61.8%-78.6% retracement) Wave 5 Target: Equal to Wave 1 or Fibonacci extensions Corrective Bounce: Trade reversals at C wave completion Risk Management Stop Loss: Beyond pattern invalidation levels Take Profit: Fibonacci extension targets Position Sizing: Based on pattern confidence 🎓 Summary This code is an Elliott Wave analysis tool that offers: ✅ Easy to use interface ✅ Automatic pattern detection ✅ Confidence scoring system ✅ Fibonacci level display ✅ Real-time alerts Perfect for: Traders who want to use Elliott Wave analysis but don't have time to manually identify patterns. 📚 Quick Reference Pattern Hierarchy (Most to Least Reliable) Impulse Waves (90% confidence) Expanded Flats (85% confidence) Zigzags (80% confidence) Triangles (75% confidence) Complex Corrections (70% confidence) Best Practices Start with higher timeframes for main trend Use lower timeframes for precise entries Always confirm with volume and momentum Don't trade against strong fundamental news Keep a trading journal to track performance Remember: Elliott Wave is an art as much as a science. This tool helps identify potential patterns, but always use your judgment and additional analysis before making trading decisions.
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chadayu77 tarafından
Intraday Spark Chart [AstrideUnicorn]The Intraday Spark Chart (ISC) is a minimalist yet powerful tool designed to track an asset’s performance relative to its daily opening price. Inspired by Nasdaq's trading-floor analog dashboards, it visualizes intraday percentage changes as a color-coded sparkline, helping traders quickly gauge momentum and session bias. Ideal for: Day trading, scalping, and multi-asset monitoring. Best paired with: 1m to 4H timeframes (auto-warns on higher TFs). Key metrics: Real-time % change from daily open. Final daily % change (updated at session close). Daily open price labels for orientation. HOW TO USE Visual Guide Sparkline Plot: A green area/line indicates price is above the daily open (bullish). A red area/line signals price is below the daily open (bearish). The baseline (0%) represents the daily open price. Session Markers: The dotted vertical lines separate trading days. Gray labels near the baseline show the exact daily open price at the start of each session. Dynamic Labels: The labels in the upper left corner of each session range display the current (or final) daily % change. Color matches the trend (green/red) for instant readability. Practical Use Cases Opening Range Breakouts: Spot early momentum by observing how price reacts to the daily open. Multi-Asset Screening: Compare intraday strength across symbols by choosing an asset in the indicator settings panel. Session Close Prep: Anticipate daily settlement by tracking the final % change (useful for futures/swing traders). SETTINGS Asset (Input Symbol) : Defaults to the current chart symbol. Choose any asset to monitor its price action without switching charts - ideal for intermarket analysis or correlation tracking.
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AstrideUnicorn tarafından
5
DCA Strategy on Steroids for CryptoThis strategy getting only in Long position for Crypto Using Fast and Slow moving Averages and Stochastic RSI to get in Long position Fast and Slow moving Averages - cross-under - I Prefer - or opposite for Bull Market Stochastic RSI cross-over - 5 and Trend Determined by the Fast moving Average There is no Stop loss is not for one with small tolerance to getting under Fast and Slow moving Averages and Stochastic RSI Parameters can be adjust The bot Use Safe Trades and Price Deviation Determined from the User Max Safe Trades = 10 Take profit Parameters can be adjust in % Pepe-USDC is just a example What the bot Can do
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fullmax tarafından
2
Supp_Ress_V1This indicator automatically plots support and resistance levels using confirmed pivot highs and lows, then manages them smartly by merging nearby levels, extending them, and removing them once price breaks through. It also draws trendlines by connecting valid higher-lows (uptrend) or lower-highs (downtrend), ensuring they slope correctly and have enough spacing between pivots. In short: it gives you a clean, trader-like map of the most relevant S/R zones and trendlines, updating dynamically as price action unfolds.
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jaskaran6128 tarafından
TTW-Day/Session Separator🗓️ Day Separator – Highlight Markers start times and days for Your Chart This script adds automatic vertical lines to visually separate each trading day on your chart. It helps you quickly identify where each day starts and ends — especially useful for intraday and scalping strategies. ✅ Features: Distinct lines for each weekday, month, week, trading session Optional day-of-week labels (toggle on/off) Custom label position (top or bottom of the chart) Works on any timeframe Whether you're tracking market sessions or reviewing daily price action, this tool gives you a clean structure to navigate your charts with more clarity.
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JP_Tru tarafından