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Market Sentiment [NeuraAlgo] Market Sentiment This indicator provides a real-time view of market momentum and sentiment by analyzing bullish and bearish impulses using price and volatility-based calculations. It visualizes trends on the chart and offers a dashboard with key statistics. 1.Status Calculation The Status measures bullish momentum by identifying strong upward impulses. Equation: Status Source = Average of lows where(Low - High ) > ATR For each bar, it checks if the current low minus the high from two bars ago exceeds the Average True Range (ATR) . All lows that satisfy this condition are collected. The average of these lows forms the Status Source , representing the level of strong buying pressure. This helps traders visualize where significant bullish activity is concentrated and gauge upward momentum. 2.Status Source Calculation Similarly, bearish impulses are detected by checking if highs fall below lows from two bars ago beyond ATR thresholds. The corresponding levels form the reference for selling pressure. 3. Trend Strength and States Strength is Quantifies how far the price is from bullish or bearish reference levels as a percentage. Trend States Stability Phase (Gray): Market is quiet, minimal momentum. Positive Flow (Green): Bullish pressure dominates; buyers are in control. Negative Flow (Red): Bearish pressure dominates; sellers lead. State Transition: Market is shifting; momentum is building. 4. Visuals Bar colors indicate trend state: green for bullish, red for bearish, gray for neutral. Filled zones highlight bullish and bearish reference levels for intuitive trend analysis. 5. Dashboard An optional dashboard displays: Sentiment: Visual gradient representing bullish or bearish dominance. Status: Current trend state in concise, human-readable terms. 6. Purpose: This indicator is designed to identify the current market status and the behavior of the asset by analyzing bullish and bearish impulses. It helps traders understand whether the market shows signs of stability, growth, or decline based on the asset’s price action and volatility. Understand the asset behavior Healthy asset behavior Weak asset behavior Market Sentiment combines price action, ATR-based volatility, and impulse tracking to provide a clear and actionable view of market conditions. The BullLine equation ensures that only meaningful bullish moves are highlighted, giving traders a reliable reference for momentum and potential entry points.
Pine Script® göstergesi
NeuraAlgo tarafından
2
US & EU Banking Basket Analysis (Dual Sentiment + Forecast) betaThis is “THE BANKING DECISION ENGINE”. Some say "'Banks lead the way'" (As always use in combination with other trading instruments and market awareness information). US & EU Banking Basket Analysis (Dual Sentiment + Forecast) One indicator for the big banking sector! – both sides of the Atlantic – just add to your chart. WHAT IT DOES • Pulls live data from 14 major US and EU banks (JPM, BAC, GS, HSBC, Santander, Deutsche Bank, ING, Barclays etc.) • Instantly compares strength/weakness between American and European banking sectors • Shows you TWO separate real-time sentiment lines on your chart: • Blue/Purple line = US banking sentiment • Green/Red line = European banking sentiment • Combines moving-average momentum, volume + RSI confirmation, major indices (DJI, SPX, NASDAQ, DAX), DXY direction, and ultra-fast 1-second “Volatility Pulse” technology • Gives you forward-looking tools so you’re not just reacting:
→ Statistical price prediction cloud (looks back 200 bars for similar sentiment situations and shows the average outcome) → Purple prediction bar + exact target price (shows where price is expected to be N bars ahead) → 15-minute “Pulse Forecast” dotted line (second-beat momentum projection) → Optional EUR/USD forecast line when on EUR/USD chart (because currency moves the banks hard) ──────────────────────── VISUAL ENHANCEMENTS YOU GET • Clean split sentiment lines that never overlap (zoom-proof) • Glowing fill + permanent “US” / “EU” tags • Tiny bar labels (EUs / USm etc.) showing exactly how many banks are firing buy/sell right now • Full banking watchlist table (top-right) with live prices, % change and instant signals • Major index ticker (DJI, SPX, NASDAQ, DAX) with exploding alerts • Supply/demand zones, previous daily range, high-volume “V” signals and more ──────────────────────── PERFECT FOR • Trading any bank stock (US or EU) • Trading XLF, KBE, EUFN or banking ETFs • Trading EUR/USD while watching how the banking sector reacts • Scalping, intraday, swing – works from 1-minute up to daily One indicator. Both continents. Zero clutter. Maximum edge. (Works on any chart: apply it to JPM, SAN, EURUSD, SPX… it auto-detects the region and adjusts) Ready when you are. Let’s go banking. 🚀 “Carefully and responsibly of course”. Quick Guide to What You’re Seeing on the Chart Dual Sentiment Lines (the two thick glowing lines in the middle of the screen) • Upper line (Blue → Purple → Orange) → US banking sector sentiment • Bright purple = strong US bullish • Light blue-purple = moderate/mild US bullish • Orange = bearish US sentiment • Lower line (Green → Lime → Red) → European banking sector sentiment • Lime/green = strong EU bullish • Darker green = moderate EU bullish • Red = bearish EU sentiment
These two lines are deliberately split vertically so they never cross or confuse each other, no matter how much you zoom. Tiny labels on the candles (EUs, USm, EUw, etc.) • Show exactly how many banks in each region are flashing buy or sell right now • “7 EUs” = all 7 European banks are strong buy • “4 USm” = 4 US banks are medium-strength buy • Appear only when the “Show Bar/Plot Labels” toggle is on Purple vertical bar on the far right + label • Your statistical price target (default 5 bars ahead) • Box height = expected price move • Label shows exact target price + % average historical move (or “Fallback” if using sentiment-based projection) Faint cloud in front of the current price • Prediction cloud showing the probable price zone in the next few bars • Green cloud = historically price went up from similar sentiment • Red cloud = historically price went down Dotted horizontal line + target label • Daily barometer – shows the exact same statistical target as the purple bar, just drawn as a line for cleaner view White dotted line (15-minute Pulse Forecast) • Ultra-short-term momentum projection (usually 10-30 min ahead) based on 1-second “pulse” data from all major indices • Appears only when the pulse is strong enough Top-right table • Live watchlist of all 14 banks + instant signal summary • Green/red dot = volume+RSI confirmation • S Buy / M Buy / W Buy etc. = MA-based signal strength Bottom-center index ticker • Real-time % change of DJI, S&P 500, NASDAQ, DAX • !!! / !! / ! = explosion alerts (bigger move = more exclamation marks) Other helpful layers (toggle on/off in settings) • Previous day’s high/low range (teal shaded area) • Supply/demand zones (green/red boxes) • High-volume “V” markers • DXY (USD strength) arrows Like a masterpiece. Not just another isolated chart indicator. Final note: Trading instruments such as this consist of historical data behind the current seconds and minutes, therefore do not guarantee prediction, forecast profit results or guarantee protection from financial losses such as in whipsaw downturns in long positions or whipsaw market swings in short positions. This decision engine is intended for use in combination with user discretion.
Pine Script® göstergesi
Magnificent_Indicators tarafından
Bitcoin Relative Macro StrengthBTC Relative Macro Strength Overview The BTC Relative Macro Strength indicator measures Bitcoin's price strength relative to the global macro environment. By tracking deviations from the macro trend, it identifies potentially overvalued and undervalued market phases. The global macro trend is derived by multiplying the ISM PMI (a widely-used proxy for the business cycle) by a simplified measure of global liquidity. Calculations Global Liquidity = Fed Balance Sheet − Reverse Repo − Treasury General Account + U.S. M2 + China M2 Global Macro Trend = ISM PMI × Global Liquidity Understanding the Global Macro Trend The global macro trend plot combines the ebb and flow of global liquidity with the cyclical patterns of the business cycle. The resulting composite exhibits strong directional correlation with Bitcoin—or more precisely, Bitcoin appears to move in lockstep with liquidity conditions and business cycle phases. This relationship has strengthened notably since COVID, likely because Bitcoin's growing market capitalization has increased its exposure to macro forces. The takeaway is that Bitcoin is acutely sensitive to growth in the money supply (it trends with liquidity expansion) and oscillates with the phases of the business cycle. Indicator Components 📊 Histogram: BTC/Macro Change Displays the rolling percentage change of Bitcoin's price relative to the global macro trend. High values: Bitcoin is outpacing macro conditions (potentially overvalued) Low values: Bitcoin is underperforming macro conditions (potentially undervalued) Color scheme: 🟢 Green = Positive deviation 🔴 Red = Negative deviation 📈 Macro Slope Line Plots the scaled percentage change of the global macro trend itself. Color scheme: 🔵 Teal = BULLISH (slope positive and rising) ⚪ Gray = NEUTRAL (slope and trend disagree) 🟣 Pink = BEARISH (slope negative and falling) FieldDescription BTC/Macro Change : Percentage change of Bitcoin's price vs. the Global Macro Trend (default: 21-bar average) Macro Trend : Composite assessment combining slope direction and trend momentum. Reads BULLISH when both align upward, BEARISH when both align downward, NEUTRAL when they disagree Macro Slope : The global macro trend's average slope expressed as a percentage BTC Valuation : Relative valuation category based on BTC/Macro deviation (Extreme Premium → Extreme Discount) BTC Price : Current Bitcoin price How to Use This indicator is primarily useful for identifying market phases where Bitcoin's price has diverged from the global macro trend. Identify extremes : Look for periods when the histogram reaches elevated positive or negative levels Assess valuation : Use the BTC Valuation reading to gauge relative over/undervaluation Confirm with trend : Check whether macro conditions support or contradict the current price level Mean reversion : Consider that significant deviations from trend historically tend to revert Note: This indicator identifies relative valuation based on macro conditions—it does not predict price direction or timing. Settings Lookback Period - 21 bars - Number of bars for calculating rolling averages Macro Slope Scale - 3.0 - Multiplier for macro slope line visibility
Pine Script® göstergesi
DamonAndTheSea tarafından
STRATEGY 1 │ Red Dragon │ Model 1 │ Pro │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Pine Script® stratejisi
Titans_Invest tarafından
Hamaada RangeThis indicator plots the Daily DR/IDR range (19:30–23:00 NY) for each weekday, Monday to Friday. It automatically draws the Daily Range (DR) and Initial Daily Range (IDR) highs, lows, midlines, and opening price. Each day’s DR/IDR box extends into the following session for clarity and projection. All lines and colors are fully customizable per-day. Tracks 3-bar swings after the DR window closes. Automatically detects when price violates the DR high or low. Draws a “Swing Violation Line” from the last valid swing to the end of the extension period. Friday DR extends to next Monday and supports cross-week swing violation detection. Background shading, labels, and opening lines are optional. Designed for precision session modeling in NY timezone (America/New_York recommended).
Pine Script® göstergesi
shariff09z tarafından
BifaneiroSinaleiro V3 ULTIMATEBifaneiroSinaleiro V3 ULTIMATE - Complete ICT Analysis System & Signal Generator This isn't just an indicator - it's your 24/7 ICT analyst that does the manual work for you. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔥 WHAT IT DOES FOR YOU: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Marks ALL ICT Concepts Automatically: - Fair Value Gaps (LTF + HTF with priority) - Market Structure (BOS/CHoCH in real-time) - Breaker Blocks (validated with volume + killzone) - Liquidity Sweeps (Asian High/Low runs) - Premium/Discount Arrays + OTE Zones - Institutional Sessions (London, NY Silver Bullets) ✅ Advanced Pattern Recognition: - Turtle Soup (sweep + reversal) - Unicorn Model (sweep → BOS → FVG) - SMT Divergences (monitors correlated pairs) - PO3/AMD Phases (Accumulation → Manipulation → Distribution) ✅ Intelligent Scoring System: - 12+ confluence factors analyzed - Minimum score 12 for signals (configurable) - Score 20+ = EXTREME (enables 2nd trade in session) - Visual score display on every signal ✅ Professional Trade Management: - 1 trade per session (London, NY AM, NY PM) = max 3/day - EXTREME mode: 2 trades per session = max 6/day - Automatic stop loss (session range-based) - Dynamic take profit (score-adjusted multiplier) - Auto breakeven after 2.5x move - EOD close (23:59) with P&L label - Weekend close (Fri 23:55) with P&L label ✅ 100% ICT Pure Methodology: - NO EMAs, NO ATR, NO lagging indicators - Pure price action: High/Low/Range only - HTF confirmation via Premium/Discount (not EMAs!) - Stop loss via Asian Range (not ATR!) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ WHY IT'S DIFFERENT: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Traditional indicators show 1-2 concepts. This shows 10+ simultaneously. Manual ICT takes 2-3 hours per session. This does it in milliseconds. Other systems guess. This scores with objective confluence. You save hours daily. You trade better. You profit more consistently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT YOU GET: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Real-time dashboard (scores, confluences, structure) - Precision signals (only in killzones, only with confluences) - Trade tracking (win rate, RR, P&L by session) - Multi-timeframe analysis (automatic) - News block filter (configurable) - Full customization (colors, thresholds, sessions) - Comprehensive alerts (8+ types) Works on: Forex, Indices, Commodities, Crypto Best on: 1m-5m for execution, 15m+ for swing Timezone: Configured for CET (UTC+1), easily adjustable ⚠️ This is a professional tool requiring ICT/SMC understanding. Not magic - it's methodology, automated. 🚀 Stop drawing. Start trading. Add to chart now.
Pine Script® göstergesi
baaddantas tarafından
1
Simple Line📌 Understanding the Basic Concept The trend reverses only when the price moves up or down by a fixed filter size. It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold. Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend). ⚙️ Explanation of Settings Auto Brick Size: Automatically determines the brick/filter size. Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.). Volatility Length: The lookback period used for calculations (default: 14). 📈 Example of Identifying Buy Timing When the line changes from gray or red to green, it signals the start of an uptrend. This indicates that the price has moved upward by more than the required threshold. 📉 Example of Identifying Sell Timing When the line changes from green to red, it suggests a possible downtrend reversal. At this point, consider closing long positions or evaluating short entries. 🧪 Recommended Use Cases Use as a trend filter to enhance the accuracy of existing strategies. Can be used alone as a clean directional indicator without complex oscillators. Works synergistically with trend-following strategies, breakout strategies, and more. 🔒 Notes & Cautions More suitable for medium- to long-term trend trading than for fast scalping. If the brick size is too small, the indicator may react to noise. Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values. ❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend. 초대 전용 스크립트 이 스크립트에 대한 접근이 제한되어 있습니다. 사용자는 즐겨찾기에 추가할 수 있지만 사용하려면 사용자의 권한이 필요합니다. 연락처 정보를 포함하여 액세스 요청에 대한 명확한 지침을 제공해 주세요. 이 비공개 초대 전용 스크립트는 스크립트 모더레이터의 검토를 거치지 않았으며, 하우스 룰 준수 여부는 확인되지 않았습니다. 트레이딩뷰는 스크립트의 작동 방식을 충분히 이해하고 작성자를 완전히 신뢰하지 않는 이상, 해당 스크립트에 비용을 지불하거나 사용하는 것을 권장하지 않습니다. 커뮤니티 스크립트에서 무료 오픈소스 대안을 찾아보실 수도 있습니다. 작성자 지시 사항 . c9indicator 면책사항 해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니
Pine Script® göstergesi
c9indicator tarafından
Filte Ichimoku1. Indicator Name Filte Ichimoku 2. One-line Introduction A smoothed and visually enhanced version of the Ichimoku Cloud that highlights trend direction and strength using adaptive color transparency. 3. General Overview Filte Ichimoku is a modernized take on the classic Ichimoku Kinko Hyo indicator, designed for traders who value clarity and minimalism while retaining core Ichimoku functionality. It calculates traditional components like Tenkan-sen, Kijun-sen, and the Senkou Span A/B, but focuses primarily on visualizing the Kumo (cloud) with enhanced styling. Instead of raw plots, Filte Ichimoku applies triple-step smoothing to both Senkou spans, creating a soft, wave-like appearance that reflects trend fluidity. The color of the cloud dynamically adapts based on whether Span A is above or below Span B (bullish/bearish), and its opacity changes according to the intensity of the trend, which is calculated relative to ATR-based volatility. By forward-shifting the plots and visually blending the cloud, the indicator helps traders quickly identify dominant trends, potential reversals, and consolidation zones. Its clean design makes it highly compatible with both traditional Ichimoku strategies and modern price action systems. 4. Key Advantages 🌥 Adaptive Ichimoku Cloud Cloud color and transparency dynamically change based on real trend strength and direction. 📊 Smoother, Cleaner Display Triple-smoothing on Senkou A and B creates a less noisy, more readable visual output. 📈 Forward Shift Preserved Maintains the traditional Ichimoku forward-shift logic, helping project future price zones. 🎨 Customizable Trend Colors Define your own bullish and bearish cloud colors for easy visual alignment with your strategy. 🚫 Noise Reduction via ATR Normalization Trend intensity is calculated relative to ATR, reducing false positives in low-volatility zones. 🔒 Lightweight & Secure Design Optimized script avoids exposure of sensitive logic while remaining fast and reliable in live charts. 📘 Indicator User Guide 📌 Basic Concept Filte Ichimoku emphasizes cloud dynamics (Kumo) to interpret market structure. Trend direction is derived from the relationship between Senkou Span A and B, while trend strength is measured by their distance relative to ATR. The smoother curves make it easier to read while preserving all Ichimoku logic. ⚙️ Settings Explained Tenkan Sen Length: Fast-moving average calculation period (default: 18) Kijun Sen Length: Medium trend baseline (default: 52) Senkou Span Length: Long-term cloud boundary (default: 104) Bull/Bear Color: Set custom colors for bullish or bearish cloud states 📈 Bullish Timing Example Senkou Span A > Span B, and the cloud appears green with high opacity Indicates strong uptrend support, especially when price is above both Tenkan and Kijun 📉 Bearish Timing Example Span B > Span A, cloud turns red and darkens Suggests bearish dominance; avoid long entries or prepare for short-side setups 🧪 Recommended Use Cases Use as a trend background layer for existing Ichimoku or price action systems Combine with breakouts, support/resistance, and momentum indicators Great for trend filtering in mid- to long-term strategies 🔒 Precautions Designed for clarity and filtering—not a standalone entry system In sideways markets, cloud may compress and color changes may become less meaningful Adjust smoothing lengths cautiously to avoid lagging during volatile swings Best results come from combining with price structure analysis
Pine Script® göstergesi
c9indicator tarafından
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Pine Script® stratejisi
Hash_Capital tarafından
Macro Risk Trinity [OAS|VIX|MOVE]The Obsolescence of Single-Metric Risk Models For decades, the CBOE VIX served as the undisputed "fear gauge" of Wall Street. However, the modern financial market structure has evolved to a point where relying on a single univariate indicator is not only insufficient but potentially dangerous. Two structural shifts have fundamentally altered the predictive power of the VIX: The 0DTE Blind Spot: The VIX calculates implied volatility based on options expiring in 23 to 37 days. Today, massive institutional hedging flows occur intraday via 0DTE (Zero Days to Expiration) options. This creates a "Gamma Suppression" effect: Market makers hedging these short-term flows often dampen realized volatility intraday, effectively bypassing the VIX calculation window. This leads to a suppression of the index, masking risk even during fragile market phases (Bandi et al., 2023). Goodhart’s Law: "When a measure becomes a target, it ceases to be a good measure." Because algorithmic volatility targeting strategies and risk-parity funds use the VIX as a mechanical trigger to deleverage, market participants have developed an incentive to suppress implied volatility via short-volatility strategies to prevent triggering cascading margin calls. The Theoretical Framework: Why this Model Works To accurately navigate this complex environment, the Macro Risk Trinity moves beyond simple price action. It employs a multivariate analysis of the financial system's three core pillars: Rates, Credit, and Equity. The logic is derived from three specific areas of financial research: 1. The Origin of Shock: Volatility Spillover Theory Macroeconomic shocks typically do not start in the stock market; they originate in the US Treasury market. The MOVE Index acts as the "VIX for Bonds." Research by Choi et al. (2022) demonstrates that bond variance risk premiums are a leading indicator for equity distress. Since the "Risk-Free Rate" is the denominator in every Discounted Cash Flow (DCF) model, instability here forces a repricing of all risk assets downstream. 2. The Foundation: Structural Credit Models (Merton) While stock prices are often driven by sentiment and liquidity, corporate bond spreads ( High Yield Option Adjusted Spread ) are driven by balance sheets and math. Based on the seminal Merton Model (1974), equity can be viewed as a call option on a firm's assets, while debt carries a short put option risk. The Thesis: If the VIX (Equity) is low, but OAS (Credit) is widening, a divergence occurs. Mathematically, credit spreads cannot widen indefinitely without eventually pulling equity valuations down. This indicator identifies that specific divergence. 3. The Fragility: Knightian Uncertainty By monitoring the VVIX (Volatility of Volatility), we detect demand for tail-risk protection. When the VIX is suppressed (low) but VVIX is rising, it signals that "Smart Money" is buying Out-of-the-Money crash protection despite calm waters. This is often a precursor to liquidity events where the VIX "uncoils" violently. The Solution: Dual Z-Score Normalization You cannot simply overlay the VIX (an index) with a Credit Spread (a percentage). To make them comparable, this script utilizes a Dual Z-Score Engine. It calculates the statistical deviation from both a Fast (Quarterly/63-day) and a Slow (Yearly/252-day) mean. This standardizes all data into a single "Stress Unit," allowing us to see exactly when Credit Stress exceeds Equity Fear. Decoding the Macro Regimes The indicator aggregates these data streams to visualize the current market regime via the chart's background color: Systemic Shock (Red Background): The critical convergence. Both Credit Spreads (Solvency) and Equity Volatility (Fear) spike simultaneously beyond extreme statistical thresholds (> 2.0 Sigma). Correlations approach 1, and liquidity evaporates. Macro Risk / Rates Shock (Yellow Background): Equities are calm, but the MOVE Index is panicking. A warning signal from the plumbing of the financial system regarding inflation or Fed policy errors. Credit Stress (Maroon Background): The "Silent Killer." The VIX is low (often suppressed), but Credit Spreads (OAS) are widening. This signals a deterioration of the real economy ("Slow Bleed") while the stock market is in denial. Structural Fragility (Purple Background): VIX is low, but VVIX is rising. A sign of excessive leverage and "Volmageddon" risk (Gamma Squeeze). Bull Cycle (Green Background): The "Buy the Dip" signal. Even if prices fall and VIX spikes, the background remains green as long as Corporate Credit (OAS) remains stable. This indicates the sell-off is technical, not fundamental. Technical Specifications Engineered for the Daily (1D) timeframe. Institutional Lookbacks: 63 Days (Quarterly) / 252 Days (Yearly). OAS Lag Buffer: Includes logic to handle the ~24h reporting delay of Federal Reserve (FRED) data to prevent signal flickering. Scientific Bibliography This tool is not based on heuristics but on peer-reviewed financial literature: Bandi, F. M., et al. (2023). The spectral properties of 0DTE options and their impact on VIX. Journal of Econometrics. Choi, J., Mueller, P., & Vedolin, A. (2022). Bond Variance Risk Premiums. Review of Finance. Cremers, M., et al. (2008). Explaining the Level and Time-Variation of Credit Spreads. Review of Financial Studies. Griffin, J. M., & Shams, A. (2018). Manipulation in the VIX? The Review of Financial Studies. Merton, R. C. (1974). On the Pricing of Corporate Debt. The Journal of Finance. Author's Note: The Reality of Markets & Overfitting While this tool is built on robust academic principles, we must address the reality of quantitative modeling: There is no Holy Grail. This indicator relies on Z-Scores, which assume that future volatility distributions will somewhat resemble the past (Mean Reversion). In data science, calibrating lookback periods (like 63/252 days) always carries a risk of Overfitting to past cycles. Markets are adaptive systems. If the correlation between Credit Spreads and Equity Volatility breaks (e.g., due to massive fiscal intervention/QE or new derivative products), signals may temporarily diverge. This tool is designed to identify stress, not to predict the future price. It will rhyme with the market, but it will not always repeat it perfectly. Use it as a compass to gauge the environment, not as an autopilot for your trading. Use responsibly and always manage your risk. Disclaimer: This indicator relies on external data feeds from FRED and CBOE. Data availability is subject to TradingView providers.
Pine Script® göstergesi
Robinhodl21 tarafından
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector 1. Project Overview Indicator Name CME Cross-Market Detector Objective To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market. Core Philosophy Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through. 2. Key Concepts & Signal Logic The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!). Smart Volume Analysis To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure. Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low)) Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low)) Signal Trigger Conditions For a potential signal to be identified on each market independently, two conditions must be met: Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest. Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent. The Final Confirmed Signal A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle. 3. Signal Strength Calculation The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal. The score is calculated as follows: Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors: Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike. Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance. Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions: Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points. Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points. Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market. 4. Visualization Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle). Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation. Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis. 5. Summary: Steps to Replicate the Logic To recreate this indicator, follow these high-level steps for each candle on the chart: Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!). Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle. Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%). Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa. Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle. Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment. Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label. Last but not least, the idea of the indicator is inspired by 52SIGNAL
Pine Script® göstergesi
xyd945 tarafından
Thirdeyechart Global Gold PercentageThe global gold percentage – Percentage Change Indicator is a TradingView tool developed to help traders monitor multiple currency pairs and precious metals in one glance. This indicator was coded personally, using custom formulas to calculate the percentage change for each symbol over selected timeframes, making it unique and fully tailored to individual analysis needs. Users can input any symbols they wish to track as a comma-separated list, making it highly flexible. The script automatically calculates percentage changes for Daily (D), 1-Hour (H1), and 4-Hour (H4) timeframes. Positive changes are highlighted in blue and negative changes in red, allowing for an instant visual representation of market movements. The table updates in real-time, giving traders immediate feedback without needing to switch between charts. Designed with simplicity and functionality in mind, this indicator is ideal for intraday traders, swing traders, or anyone who wants to keep an eye on multiple markets efficiently. It works for currency pairs, metals like gold (XAUUSD, XAUJPY), or any TradingView-available symbol. The table is positioned at the top-right corner of the chart and automatically adapts to the number of symbols entered. This script is purely informational and educational, providing a clear view of price movements but not offering buy or sell signals. Traders should perform their own analysis and risk management before making any trading decisions. Disclaimer / Copyright: © 2025 Thirdeyechart. All rights reserved. This indicator is for educational and informational purposes only. The author is not responsible for any trading losses or financial decisions made based on this script. Redistribution, copying, or commercial use of this code without permission is strictly prohibited.
Pine Script® göstergesi
Spiderweb11 tarafından
Supertrend Scalper v1.0 (빌립's Trading)Supertrend Scalper V1.0 – 초대전용 스캘핑 인디케이터 이 스크립트는 Supertrend 추세를 기반으로, 지지/저항 되돌림 구간에서 단기 스캘핑 진입 타이밍만 직관적으로 보여주는 초대전용 인디케이터입니다. Supertrend 방향이 유지되는 구간에서, 슈퍼트렌드 라인 근처 되돌림 발생 시에만 BUY / SELL 진입 신호를 생성합니다. 신호는 봉 마감(종가 확정) 기준으로만 확정되며, 과도한 실시간 깜빡임을 최소화했습니다. 한 번 진입 신호가 발생하면 해당 포지션의 TP / SL 가격이 터치될 때까지 추가 신호가 나오지 않으며, 항상 한 포지션만 운영하는 구조로 설계되어 있습니다. 진입 라벨 색상: 최초 BUY 진입: 초록색 최초 SELL 진입: 빨간색 TP 도달: 핑크색 SL 도달: 파란색 → 색깔만 봐도 진입/청산 결과를 한눈에 확인할 수 있습니다. 기본적으로 3분 / 5분 / 15분 등의 단기 타임프레임에서 크립토 선물 스캘핑을 염두에 두고 설계되었지만, 시장/종목/타임프레임에 따라 사용자가 직접 테스트 후 활용하시길 권장합니다. ⚠ 면책사항 이 인디케이터는 교육 및 연구용 참고 도구일 뿐, 특정 매수/매도/투자를 직접적으로 권유하는 것이 아닙니다. 모든 매매 결정과 그에 따른 손익은 전적으로 사용자 본인의 책임입니다. 실제 사용 전 반드시 충분한 백테스트와 모의투자를 통해 전략 적합성을 검증하시기 바랍니다. Supertrend Scalper is a short-term trend-following scalping indicator built on the Supertrend concept. The script looks for pullbacks to the Supertrend line in the direction of the prevailing trend and prints clear BUY / SELL labels only after the bar is closed (close-confirmed signals to reduce repaint-like noise). Once a signal appears and a position is considered open, the script tracks a fixed TP (%) and SL (%) from the entry price: - Initial BUY label = green - Initial SELL label = red - When TP is hit, the label changes to pink - When SL is hit, the label changes to blue Only one position is active at a time. No new signals are generated until either TP or SL is reached, which helps to avoid over-trading in choppy zones. Default settings are optimized for lower timeframes (e.g. 3m/5m/15m crypto futures scalping), but users should adjust parameters and backtest according to their own market, symbol and risk profile. This script is for educational and informational purposes only and is not financial advice.
Pine Script® göstergesi
Get_all_or_Nothing tarafından