เริ่มกันเลย

อินดิเคเตอร์และกลยุทธ์

CAPEX//@version=6 indicator("美光 CapEx 噴發追蹤器", overlay=true) // --- 輸入設定 --- threshold = input.float(20.0, title="CapEx 噴發閾值 (%)", minval=1.0) lookback = input.int(4, title="對比前幾季", minval=1) // --- 取得財務數據 (資本支出 - 季度) --- // 使用 request.financial 抓取美光的資本支出 (Capital Expenditures) capex = request.financial("NASDAQ:MU", "CAPITAL_EXPENDITURES", "FQ") // --- 計算變動率 --- // 因為財務數據在圖表上是階梯狀的，我們取當前有效值 current_capex = nz(capex) prev_capex = nz(capex ) // 計算增長率 (注意：capex 在財報是負數，所以我們取絕對值來計算) capex_growth = (math.abs(current_capex) - math.abs(prev_capex)) / math.abs(prev_capex) * 100 // --- 判斷噴發條件 --- is_surge = capex_growth >= threshold // --- 繪製視覺效果 --- // 當 CapEx 噴發時，背景顯示紅色 (代表擴產警訊) bgcolor(is_surge ? color.new(color.red, 85) : na, title="CapEx 噴發區間") // 在圖表下方標註文字 plotshape(is_surge, style=shape.labelup, location=location.bottom, color=color.red, text="CapEx 激增", textcolor=color.white, size=size.small) // --- 儀表板 (選用) --- var table tb = table.new(position.top_right, 2, 2, bgcolor=color.new(color.black, 70), border_width=1) if barstate.islast table.cell(tb, 0, 0, "本季 CapEx:", text_color=color.white) table.cell(tb, 1, 0, str.tostring(current_capex / 1e9, "#.##") + " B", text_color=color.red) table.cell(tb, 0, 1, "較上季增長:", text_color=color.white) table.cell(tb, 1, 1, str.tostring(capex_growth, "#.##") + "%", text_color=is_surge ? color.red : color.green)
อินดิเคเตอร์ Pine Script®
โดย ja19891203messs
Dual-Timeframe ABR DashboardDual-Timeframe ABR Dashboard 是一款专为日内交易者设计的波动率参考工具，用于同时评估当前周期与日线级别的平均K线波幅（ABR）。 该指标基于 Average Bar Range（高低差的简单平均），帮助交易者快速判断： 单根K线的“正常”波动范围 当前价格相对于 ABR 的百分比位置 当日是否已接近日线级别的常规波动极限 指标不会在图表上绘制干扰性线条，而是通过状态栏与固定表格实时展示最新 ABR 数值，适合用于： 目标利润（TP）与止盈管理 趋势是否具备延续空间的判断 避免在“已走完波幅”的位置追价入场 这是一个为实盘决策服务，而非视觉美观的专业级日内交易辅助指标。 ====================================================================== Dual-Timeframe ABR Dashboard is a volatility reference tool designed specifically for day traders, providing a clear view of Average Bar Range (ABR) on both the current timeframe and the daily timeframe. By measuring the simple average of each bar’s high–low range, this indicator helps traders quickly assess: What constitutes a “normal” bar movement on the active timeframe Current price movement expressed as a percentage of ABR Whether the session has already consumed most of its typical daily range Instead of plotting lines on the chart, the indicator presents real-time ABR values via the status line and a fixed dashboard table, keeping the chart clean and execution-focused. This tool is particularly useful for: Profit target and trade management Evaluating remaining trend potential during the session Avoiding late entries after the daily range is largely exhausted Built for practical intraday decision-making, not visual clutter.
อินดิเคเตอร์ Pine Script®
โดย sudongpojiaozi
Gamma Levels - Options Flow# 📊 Gamma Levels - Options Flow Indicator ## TradingView Free Indicator - By AsiaQuant --- ## 🎯 What Is This? **Gamma Levels** is a simplified TradingView indicator that shows estimated support and resistance levels based on institutional options positioning. It helps traders identify key price zones where options market makers are likely positioned. ### Key Features: - **⚡ Gamma Flip Level**: The inflection point where dealer hedging behavior changes - **🔴 Call Wall**: Overhead resistance from call option concentration - **🟢 Put Support**: Downside support from put option concentration - **🎯 Trading Zone**: The range between support and resistance - **📊 Regime Detection**: Positive vs Negative Gamma environments --- ## 📈 How To Use ### 1. **Gamma Flip Level (⚡)** The Gamma Flip is the most critical level. It represents where market maker hedging flips from stabilizing to destabilizing: - **Above Gamma Flip**: Positive gamma environment → Lower volatility, mean reversion - **Below Gamma Flip**: Negative gamma environment → Higher volatility, trend continuation **Trading Strategy:** - When price is **above** gamma flip: Fade extremes, trade ranges - When price is **below** gamma flip: Follow momentum, breakouts more likely ### 2. **Call Wall (🔴)** The Call Wall represents overhead resistance where heavy call open interest sits: - Acts as a **magnet** when price approaches from below - Acts as **resistance** when price tests it - Breaking above often leads to squeeze moves **Trading Strategy:** - Use as profit target for long positions - Watch for rejection and reversal setups - Breaking through = potential gamma squeeze ### 3. **Put Support (🟢)** The Put Support level shows where heavy put positioning provides downside support: - Acts as **support** on pullbacks - Breaking below signals bearish momentum - Often bounces near this level **Trading Strategy:** - Use as entry zone for long positions - Stop loss just below this level - Breaking through = potential flush lower ### 4. **Trading Zone (Blue Shaded Area)** The zone between Call Wall and Put Support shows the expected trading range: - **Narrow zones** = Low volatility, potential breakout setup - **Wide zones** = High volatility, choppy action expected - Price tends to stay within this zone --- ## 🚦 Regime Guide ### Positive Gamma Regime (Green Background) - Price above Gamma Flip - Lower volatility expected - Mean reversion strategies work better - Selling premium strategies favorable ### Negative Gamma Regime (Red Background) - Price below Gamma Flip - Higher volatility expected - Trend following strategies work better - Directional trades more profitable --- ## ⚠️ Important Limitations This is a **SIMPLIFIED** indicator that uses price action and volume as proxies for options positioning. It does NOT use real options chain data. ### What This Indicator Does: ✅ Estimates levels using VWAP and ATR ✅ Shows general zones of interest ✅ Provides educational framework ✅ Works on any timeframe ### What This Indicator CANNOT Do: ❌ Access real options open interest ❌ Calculate actual gamma exposure ❌ Account for 0DTE dynamics ❌ Include Vanna/Charm effects ❌ Use volatility surface interpolation --- ## 🔓 Want The Full Professional Version? ### **GEX Pro - Institutional Grade Analysis** **Visit: (gexpro.asiaquant.com)** #### What You Get: - ✅ **Real Options Data**: Live OI and volume from actual options chains - ✅ **20+ Metrics**: GEX, DEX, Vanna, Charm, Volga, IV Skew, and more - ✅ **0DTE Logic**: Proprietary algorithm for same-day expiration positioning - ✅ **Volatility Surface**: Cubic spline interpolation eliminates "ghost walls" - ✅ **Shadow Gamma**: Advanced second-order risk exposure - ✅ **Multi-Expiration**: Analyze 0DTE, weekly, and monthly expirations simultaneously - ✅ **Directional Scoring**: AI-powered conviction scoring with 5 components - ✅ **Trade Ideas**: Specific setups based on positioning - ✅ **440+ Tickers**: SPY, QQQ, IWM, AAPL, TSLA, NVDA, and more #### The Difference: | Feature | TradingView Free | GEX Pro | |---------|------------------|---------| | Data Source | Price/Volume Proxy | Real Options Chains | | Gamma Calculation | Estimated | Actual Black-Scholes | | Advanced Greeks | ❌ | ✅ Vanna, Charm, Volga | | 0DTE Handling | ❌ | ✅ Volume Priority | | Vol Surface | ❌ | ✅ Cubic Spline | | Conviction Score | ❌ | ✅ 5-Component Model | | Trade Setups | ❌ | ✅ Directional Ideas | --- ## 📚 Educational Resources ### Recommended Reading: 1. **"Gamma Exposure and Market Dynamics"** - Understanding dealer hedging 2. **"Volatility Trading"** by Euan Sinclair - Options Greeks in practice 3. **"The Volatility Surface"** by Jim Gatheral - Advanced vol modeling ### Key Concepts: - **Gamma Exposure (GEX)**: The rate of change of delta with respect to price - **Dealer Hedging**: How market makers adjust their stock positions - **Positive Gamma**: Dealers buy dips, sell rips → stabilizing - **Negative Gamma**: Dealers sell dips, buy rips → destabilizing - **Vanna**: Sensitivity to spot and volatility changes - **Charm**: Time decay of delta --- ## 🎓 Best Practices ### ✅ DO: - Use in conjunction with price action and volume - Combine with support/resistance levels - Pay attention to regime changes - Use for planning entries/exits - Monitor gamma flip proximity ### ❌ DON'T: - Rely solely on this indicator - Ignore overall market conditions - Trade against strong trends - Over-leverage based on levels - Treat estimates as absolute truth --- ## 📊 Example Scenarios ### Scenario 1: Approaching Call Wall - Price rallies toward Call Wall ($595 on SPY) - Volume increases as it approaches - **Action**: Consider taking profits on longs, watch for rejection ### Scenario 2: Gamma Flip Cross - Price crosses below Gamma Flip - Regime changes to Negative Gamma - **Action**: Reduce range trading, prepare for momentum ### Scenario 3: Bouncing Off Put Support - Price tests Put Support ($580 on SPY) - High volume at the test - **Action**: Entry for longs with stop below support --- ## 🔧 Settings Guide ### Lookback Period (Default: 20) - **Lower (10-15)**: More responsive, better for day trading - **Higher (30-50)**: Smoother, better for swing trading ### Volatility Multiplier (Default: 1.5) - **Lower (1.0-1.2)**: Tighter zones, more frequent tests - **Higher (2.0-3.0)**: Wider zones, fewer tests but stronger ### Display Options - Toggle individual levels on/off based on your strategy - Customize colors to match your chart theme --- ## ❓ FAQ **Q: Why don't the levels match actual options strikes?** A: This free version uses price action approximations. For real strike-level precision, use GEX Pro. **Q: How often should levels update?** A: The indicator recalculates every bar. For real options data that updates throughout the day, use GEX Pro. **Q: Can I use this for day trading?** A: Yes, but it's approximations. For intraday 0DTE positioning, GEX Pro has specialized logic. **Q: What timeframe works best?** A: Works on all timeframes, but 15min-1hour is optimal for the simplified calculation. **Q: Is this better than just support/resistance?** A: It adds an options perspective, but should complement (not replace) standard TA. --- ## 🚀 Upgrade To GEX Pro Ready for institutional-grade analysis? ### ** (gexpro.asiaquant.com)** - Real options data from 440+ tickers - 20+ advanced metrics - AI-powered trade signals - Professional-grade analytics - API access available **Stop guessing. Start knowing where the institutions are positioned.** --- ## 📧 Support & Contact - **Website**: (gexpro.asiaquant.com) - **Questions**: Contact form on website - **TradingView**: Leave comments on the indicator --- ## ⚖️ Disclaimer This indicator is for **educational purposes only**. It is not financial advice. Options and derivatives trading involves significant risk. Past performance does not guarantee future results. Always do your own research and consult with a financial advisor before making trading decisions. The simplified calculations in this free version are approximations and may not reflect actual market conditions. For professional trading decisions, use verified data sources and professional-grade tools. --- **Version**: 1.0 **Last Updated**: December 2024 **Created By**: AsiaQuant Research ### 🔓 **Unlock the full power: (gexpro.asiaquant.com)**
อินดิเคเตอร์ Pine Script®
โดย GexPro
1
Market State Intelligence [Interakktive]Market State Intelligence (MSI) is a diagnostic market-context indicator that reveals how the market is behaving — not where price "should" go. MSI does not generate buy/sell signals. Instead, it classifies market conditions into clear behavioural regimes by continuously measuring: - DRIVE (directional effort) - OPPOSITION (absorption / resistance) - STABILITY (structural persistence) MSI is designed to answer three practical questions: - What state is the market in right now? - Is energy building, releasing, or decaying? - Is participation aligned with price, or opposing it? █ WHAT MSI DOES MSI operates as a real-time regime classification engine that processes each closed bar through three independent measurement systems: DRIVE — Directional Effort (0–100) - Displacement efficiency (net progress vs total path) - Range expansion quality (actual range vs expected ATR range) - Body dominance (body vs candle range) OPPOSITION — Absorption / Resistance (0–100) - Wick pressure (rejection relative to attempt) - Effort–result gap (high effort, low progress) - Reversal density (counter-moves frequency) STABILITY — Persistence (0–100) - Condition persistence (how long conditions hold) - Variance score (flip frequency) - Follow-through consistency (reaction continuity) These three forces feed a deterministic classifier with hysteresis (anti-flicker) to identify five regimes: COMPRESSION — low drive, low opposition, higher stability (pressure building, direction unclear) EXPANSION — high drive, low opposition (directional energy release) TREND — medium-high drive, higher stability, low-medium opposition (healthy continuation) DISTRIBUTION — medium drive, high opposition (effort absorbed; progress blocked) TRANSITION — rapidly rising opposition, low stability (regime breakdown / uncertainty) █ WHAT MSI DOES NOT DO - No buy/sell signals, entries/exits, or performance claims - No prediction of future direction - No repainting: calculations use closed-bar data only MSI is a market state layer intended to support your execution framework. █ VISUAL SYSTEM MSI uses a layered visual grammar designed to remain readable on live charts: Regime Ribbon A thin horizontal band showing the current regime via colour. Ribbon opacity reflects regime confidence (stronger confidence = more visible). Pressure Envelope (core visual) A soft corridor around price that expands with Drive and becomes more visible as Opposition increases. This visualises "pressure thickness" around current action (not a volatility band for entries). Structural Memory Faint background stains appear where regimes previously failed (e.g., expansion collapsing into absorption). These are behavioural context zones showing where market intention was rejected — not support/resistance. Regime Change Markers (optional) Subtle labels appear when regimes transition after confirmation. Useful for replay and education. Effort Halo (optional) Candle highlighting when Opposition materially exceeds Drive, indicating absorption/inefficiency. █ HUD PANEL The HUD displays: - Current regime name + colour indicator - A context gate showing whether conditions are aligned with long-bias or short-bias context (not an entry/exit system) █ REGIME LEGEND When enabled, displays: - A one-line definition of the current regime - Live Drive / Opposition / Stability values for interpretation █ TIME-TO-DECISION METER A visual pressure gauge that tends to fill during Compression (energy building) and drain during Expansion (energy releasing). It is a state-tracking meter, not a timing tool. █ SETTINGS MSI — Settings - Preset Mode: Scalper / Swing / Position - Analysis Mode (Minimal): ON = subtle visuals, OFF = full intensity - Regime Ribbon, Structural Memory, HUD Panel, Time-to-Decision Meter, Effort Halo MSI — Visual Options - Show Regime Changes: Labels when regime transitions occur - Show Regime Legend: Definition and live values display - Panel Position: Move the entire panel anywhere on chart MSI — Advanced (Tuning) - Sensitivity (0.5–2.0) - Smoothing (0.5–2.0) - Memory Decay (0.5–2.0) - Visual Intensity (Low / Medium / High) █ PRESETS EXPLAINED Scalper Higher sensitivity + lower smoothing + faster memory decay. Best for 1m–15m monitoring. Swing (default) Balanced behaviour. Best for 15m–4H analysis. Position Lower sensitivity + higher smoothing + slower memory decay. Best for 4H–1D macro context. █ STRUCTURAL MEMORY When a regime fails (example: Expansion → Distribution), MSI creates a memory imprint: - Fixed stain window (preset dependent) - Strength decays over time - Limited to a maximum number of imprints to reduce chart clutter These zones represent behavioural rejection, not levels. █ SUITABLE MARKETS MSI is designed for Forex, Crypto, Indices, Stocks, and Commodities. Works from intraday to Daily, with particularly strong readability on 15m–4H. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or solicitation. Trading involves substantial risk. Always use proper risk management and make independent decisions.
อินดิเคเตอร์ Pine Script®
โดย Interakktive
1
OrderlyWebhookJSONLibrary "OrderlyWebhookJSON" Orderly 거래소 자동 거래를 위한 JSON Webhook 메시지 생성 라이브러리. Market/Limit 주문, TP/SL 설정, Percent/Absolute 수량 지정 등을 지원합니다. createMarketOrder(symbol, leverage, side, position, quantity_type, quantity, tp_type, tp_value, sl_type, sl_value)   Market 주문 JSON 생성 (TP/SL 포함)   Parameters:      symbol (string) : 거래 심볼 (예: "BTCUSDT")      leverage (float) : 레버리지 배율 (예: 10)      side (string) : "Long" 또는 "Short"      position (string) : "Open" 또는 "Close"      quantity_type (string) : "Percent" 또는 "Absolute"      quantity (float) : 수량 값 (Percent인 경우 0-100, Absolute인 경우 실제 수량)      tp_type (string) : "percent" 또는 "price"      tp_value (float) : TP 값 (percent인 경우 퍼센트, price인 경우 절대가격)      sl_type (string) : "percent" 또는 "price"      sl_value (float) : SL 값 (percent인 경우 퍼센트, price인 경우 절대가격)   Returns: JSON 형식 문자열 createLimitOrder(symbol, leverage, side, position, limit_price, quantity_type, quantity, tp_type, tp_value, sl_type, sl_value)   Limit 주문 JSON 생성 (TP/SL 포함)   Parameters:      symbol (string) : 거래 심볼 (예: "BTCUSDT")      leverage (float) : 레버리지 배율 (예: 10)      side (string) : "Long" 또는 "Short"      position (string) : "Open" 또는 "Close"      limit_price (float) : Limit 주문 가격      quantity_type (string) : "Percent" 또는 "Absolute"      quantity (float) : 수량 값 (Percent인 경우 0-100, Absolute인 경우 실제 수량)      tp_type (string) : "percent" 또는 "price"      tp_value (float) : TP 값 (percent인 경우 퍼센트, price인 경우 절대가격)      sl_type (string) : "percent" 또는 "price"      sl_value (float) : SL 값 (percent인 경우 퍼센트, price인 경우 절대가격)   Returns: JSON 형식 문자열 createSimpleMarketOrder(symbol, leverage, side, position, quantity_type, quantity)   Market 주문 JSON 생성 (TP/SL 없음 - 간단 버전)   Parameters:      symbol (string) : 거래 심볼 (예: "BTCUSDT")      leverage (float) : 레버리지 배율 (예: 10)      side (string) : "Long" 또는 "Short"      position (string) : "Open" 또는 "Close"      quantity_type (string) : "Percent" 또는 "Absolute"      quantity (float) : 수량 값   Returns: JSON 형식 문자열 createSimpleLimitOrder(symbol, leverage, side, position, limit_price, quantity_type, quantity)   Limit 주문 JSON 생성 (TP/SL 없음 - 간단 버전)   Parameters:      symbol (string) : 거래 심볼 (예: "BTCUSDT")      leverage (float) : 레버리지 배율 (예: 10)      side (string) : "Long" 또는 "Short"      position (string) : "Open" 또는 "Close"      limit_price (float) : Limit 주문 가격      quantity_type (string) : "Percent" 또는 "Absolute"      quantity (float) : 수량 값   Returns: JSON 형식 문자열 createClosePosition(symbol, side, quantity_type, quantity)   포지션 종료 전용 JSON 생성   Parameters:      symbol (string) : 거래 심볼 (예: "BTCUSDT")      side (string) : "Long" 또는 "Short" (종료할 포지션의 반대 방향)      quantity_type (string) : "Percent" 또는 "Absolute"      quantity (float) : 수량 값 (Percent 100 = 전체 종료)   Returns: JSON 형식 문자열
ไลบรารี Pine Script®
โดย hoddukzoa12
Daily & Weekly ConfluenceDaily & Weekly Confluence is a precision momentum-alignment indicator built on Stochastic RSI, designed to highlight high-probability bullish conditions when lower-timeframe momentum aligns with higher-timeframe structure. It combines live Stoch RSI signals with a forward-shifted momentum path and a robust daily/weekly confirmation system to help traders anticipate and confirm trend transitions with clarity and discipline. Why this indicator matters Momentum signals are most effective when they agree across timeframes. Daily & Weekly Confluence filters noise by requiring alignment between daily and weekly Stoch RSI behavior, allowing traders to focus on setups that occur within a supportive higher-timeframe context rather than reacting to isolated signals. What the indicator shows 1. Live Stochastic RSI (%K / %D) The indicator plots real-time Stoch RSI values for the active chart timeframe, including standard overbought and oversold reference levels. These lines represent current momentum conditions and form the basis for all signal logic. 2. Forward-shifted Stoch RSI path A user-defined Stoch RSI pattern window is sampled from the past and drawn forward on the chart. This path visually maps how momentum previously evolved and where similar momentum behavior may re-emerge. Optional normalization keeps the path scaled to recent conditions for consistent visual interpretation. 3. Momentum cross visualization When %K and %D intersect within the forward-shifted path, the indicator can display: Color-cycling vertical reference lines Small directional arrows at the crossing point A single highlighted label marking the next upcoming cross These visuals are designed to keep attention on momentum inflection zones, not clutter. Multi-timeframe signal logic Weekly signals The indicator independently computes weekly Stoch RSI values and detects: Confirmed bullish crosses Near-cross conditions based on distance and slope Daily signals Daily bullish crosses and near-cross conditions are detected using the same logic but on the daily timeframe. Weekly context filter (optional) Daily signals can be restricted so they only trigger when weekly momentum is already bullish or has recently turned bullish. This alignment filter significantly reduces counter-trend signals. Dual confirmation When daily and weekly bullish crosses occur together, the indicator flags a high-confidence confluence event. Alerts built for real trading Preconfigured alert conditions include: Weekly bullish confirmed Weekly bullish near-cross Daily bullish confirmed Daily bullish near-cross Daily signals with weekly confirmation required Dual daily + weekly confirmation Alerts can be configured to trigger only on confirmed bar closes for cleaner execution timing. How to use it effectively Use weekly signals to define directional bias Use daily signals for timing within that bias Treat “near-cross” alerts as early warnings, not entries Give the highest weight to dual confirmed alignment events This indicator is best suited for swing traders, position traders, and systematic momentum strategies that prioritize structure, confirmation, and discipline over reactive entries.
อินดิเคเตอร์ Pine Script®
โดย Dinjin
Jimbob Channel/Breakout (Current TF)I have used this indicator to show a breakout of price. The way to use it is: if there is a channel printing on the time frame you are looking at, then it means that a directional change is coming in the future. It is a way to see that something is coming. It doesn’t tell you which way the price is moving while the channel is printing; it only tells you that something is coming. I have a directional movement programmed in by an arrow printing after price has moved out of the channel, but this usually means you have missed the move. So it’s better to use these channels as an indication that price will be breaking out soon. I hope this indicator helps people get prepared for a move that is about to happen. Use this as an indication that something is coming rather than something that has happened. One way of looking at this indicator is to check that the current time frame has a channel, then look at the time frames above it and see if there is a channel on them. If there isn’t, then think of it as a freeway for cars: if there is no channel in the time frames above the one you are looking at, then the move out of the current time frame shouldn’t have much headway. But if there is a channel on the higher time frames, then expect the price to go sideways until the channel on the higher time frame has broken out. Good luck with investing using this indicator. Cheers Jimbob :)
อินดิเคเตอร์ Pine Script®
โดย Jimmyrockhard
Master Strategy: BTC W1 Mean Reversion [Institutional SOP]Overview This is an institutional-grade Mean Reversion and Range Rotation strategy designed specifically for Bitcoin (BTC/USDT) Perpetual Futures. It operates on the philosophy that liquidity resides at the extremes of the previous week's range (Previous Week High/Low). The strategy looks for false breakouts (Sweeps) followed by a confirmed return to the range (Reclaim), targeting the weekly equilibrium (EQ). Core Logic: The Deviation Play Unlike standard breakout strategies, this indicator hunts for trapped liquidity. Weekly Levels (Fixed): It calculates PWH (Previous Week High) and PWL (Previous Week Low) based on confirmed, closed weekly data. These levels act as the "Box" for the current week. The Sweep: We wait for price to pierce the PWH or PWL (taking liquidity/stops). The script uses a dynamic ATR-based threshold to filter out noise (micro-pokes). The Reclaim (4H Close): A signal is generated ONLY if a 4H candle closes back inside the weekly range shortly after the sweep. This confirms rejection of higher/lower prices. The Entry: The script suggests a Limit Order at the retested level (PWH/PWL) to maximize R:R. Institutional Quality Filters ("Kill Switches") To prevent trading in unfavorable conditions, the script includes strict SOP (Standard Operating Procedure) filters: Trend Filter (ADX): Blocks mean reversion signals if the daily trend is too strong (ADX > 25). Expansion Filter: Blocks signals if price accepted levels outside the range for too long (prevents fighting a true breakout). Weekly Range Filter: Filters out weeks that are statistically too tight (chop) or too wide (expansion). Time Filter: A reclaim must happen within a set number of 4H bars after the sweep (default: 3). Key Features Zero Repainting: Logic is based strictly on closed candles ( , , ). State Machine Logic: Uses internal memory to track sweeps regardless of chart timeframe glitches. Operational Dashboard: Displays current status, countdown to next decision candle (4H close), and exact parameters for the last valid signal (Entry, SL, TP). Unified Alerting: A single "Any function call" alert handles both Long and Short scenarios dynamically. Clean Visuals: Levels are plotted with line breaks to avoid visual clutter between weeks. How to Use Timeframe: Set your chart to 4H. This is crucial as the logic relies on 4H closes. Signals: Wait for the "4H RECLAIM" label. Execution: Place a Limit Order at the suggested Level (PWH/PWL). Stop Loss: Use the calculated SL provided by the indicator (Swing extreme + ATR buffer). Target: TP1 is always the EQ (Equilibrium/Mid-range).
อินดิเคเตอร์ Pine Script®
โดย TheMrD
Confluence Strength Meter (Bull/Bear) [v6]This indicator provides a quantified "Strength Score" (0-5) for price action setups by measuring the confluence of five key technical drivers. It features a Strategy Mode toggle, allowing traders to instantly switch between Bullish (Long) and Bearish (Short) scoring logic. How it Works: The script analyzes the following factors to build a Confluence Score: Trend Direction: Price relation to the Slow EMA (50). EMA Stack: Fast EMA (20) vs. Slow EMA (50) alignment. Volume Sentiment: Price relation to the Intraday VWAP. Momentum: MACD vs. Signal line crossover. RSI Health: Checks for momentum in the correct direction while filtering out extreme exhaustion (Overbought/Oversold). Features: Visual Histogram: Color-coded bars (Green/Red for strong setups, Orange for moderate, Gray for weak) make it easy to spot high-confluence zones. Dual Modes: Input setting to switch the entire logic engine between Bullish and Bearish detection. Alerts: Pre-configured alert conditions for both Long and Short setups, ready for webhook integration. Usage: Look for a score of 4 or 5 (brightly colored bars) to confirm high-probability entries in the direction of your selected trend.
อินดิเคเตอร์ Pine Script®
โดย the_outvestor
Advanced Algo [From India]Here is a **shortened, more concise, and TradingView-ready version** of the description, with **“TG – SWIFT Algo V1.1” replaced by “Advanced Algo ”** and explanations tightened while keeping clarity and professionalism. --- 🙏 Introduction & Gratitude > *I have taken so much from this TradingView community over the years — ideas, learning, and inspiration. > It’s time to give back a small contribution with gratitude.* **Advanced Algo ** is a **non-repainting, rule-based intraday indicator** designed primarily for **crypto markets**, optimized for **5-minute and 15-minute timeframes**. The goal is to provide **clean signals, disciplined trade structure, and consistent execution logic**. --- 📌 Indicator Overview **Advanced Algo **: * Generates **confirmed BUY / SELL signals** * Automatically plots **Entry, Take-Profit, and Stop-Loss levels** * Maintains **one active trade at a time** to avoid over-trading * Tracks results via a **lightweight statistics table** This is a **decision-support tool**, not a prediction system or financial advice. --- ## ⚙️ High-Level Logic ### 1️⃣ Adaptive Moving Average Engine The indicator compares two adaptive moving averages: * **Fast MA** (close-based) * **Slow MA** (open-based) Selectable MA types: * **TEMA** * **Hull MA** * **ALMA** (default – low lag & smooth) A small **price delay** is applied to ensure **true non-repainting behavior**. --- ### 2️⃣ Signal Generation (Confirmed Bars Only) * **BUY** → Fast MA crosses above Slow MA * **SELL** → Fast MA crosses below Slow MA Signals are generated **only after candle confirmation**. --- ### 3️⃣ Trade Lifecycle Control Once a trade starts: * Entry price is fixed * TP & SL are calculated using percentage inputs * No new trades are allowed until the current trade exits This prevents signal clustering and emotional over-trading. --- ### 4️⃣ Intrabar TP & SL Handling Although entries are bar-confirmed: * **Take-Profit and Stop-Loss execute intrabar** * Trades exit immediately when price is touched This closely matches real-market behavior on lower timeframes. --- ## 📊 Visuals & Statistics * **Blue** → Entry * **Purple** → Take Profit * **Maroon** → Stop Loss * Green & red fills show reward and risk zones Optional labels mark: * Entries * TP hits * SL hits A simple stats table tracks: * Buy TP / Sell TP * Buy SL / Sell SL --- ## ⏱ Recommended Usage **Best suited for:** * Crypto markets (BTC, ETH, liquid altcoins) * **5m and 15m timeframes** * Trending or moderately volatile conditions **Tips:** * Start with default settings * Adjust TP & SL based on volatility * Avoid low-volume or highly ranging markets --- ## 🔔 Alerts & Automation The script includes structured alerts for: * Entries * TP & SL exits These can be used for **manual alerts or automated execution workflows**. --- ## ⚠️ Disclaimer * No indicator guarantees profits * Always backtest and forward-test before live trading * Proper risk management is essential This script is shared **for educational and analytical purposes only**. --- ## 🤝 Closing Note If this tool adds structure or clarity to your trading, then it has fulfilled its purpose. Feedback and constructive suggestions are always welcome. **Trade responsibly and stay disciplined.**
อินดิเคเตอร์ Pine Script®
โดย sanjaybiligiri
10
MA Crossover with R SquaredThis indicator enhances the classic Moving Average (MA) crossover strategy with statistical filtering and prediction capabilities. Let me explain what it does: Instead of just showing when a fast MA crosses above/below a slow MA, this indicator adds R² (R-squared) filtering to identify higher-quality crossovers and predicts future crossovers. What is R²? R² (Coefficient of Determination) is a statistical measure that shows how well one variable explains the movement of another variable. In simpler terms: R² = 1.0: Perfect relationship - 100% of the movement in one MA is explained by the other MA R² = 0.8: Strong relationship - 80% R² = 0.5: Moderate relationship - 50% R² = 0.0: No relationship - 0% Imagine two cars driving on a highway: High R² (0.9): Both cars are in the same lane, moving together consistently Low R² (0.3): One car is weaving between lanes while the other stays straight - poor coordination. Traditional MA crossovers often generate false signals during: Choppy markets (price bouncing around) Sideways/ranging markets Low volatility periods News events causing temporary spikes The R² Solution: R² acts as a "quality filter" that answers: "How meaningful this crossover is?" What this means: Before R² filtering: Every crossover generates a signal After R² filtering: Only crossovers with R² > threshold generate signals Result: Fewer but higher-quality signals. MARKET REGIME DETECTION High R² (> 0.7): Strong trending market - MA crossovers are reliable Medium R² (0.4-0.7): Moderate trending - use with caution Low R² (< 0.4): Choppy/range-bound market - avoid MA crossover signals Increasing R²: MAs are converging/moving together more closely Decreasing R²: MAs are diverging/losing coordination Sudden R² drop: Potential market regime change. Why Square the Correlation? Correlation: Measures direction AND strength (-1 to +1) R²: Measures strength ONLY (0 to 1) In trading: We care about relationship strength, not direction Direction is already indicated by crossover type (bullish/bearish) Real-World Interpretation: If R² = 0.64, it means: 64% of the variation in the fast MA is explained by the slow MA 36% is "noise" or unexplained movement The MAs are moderately coordinated. R² Trend Confirmation: Entry: When crossover occurs AND R² is above threshold Confirmation: R² continues rising after entry Exit: R² drops below threshold (relationship weakening) Multi-Timeframe R² Analysis Check R² on higher timeframe for trend context Use current timeframe for entry signals Example: Daily R² > 0.7 gives bullish bias, use 1-hour for entries. R² LIMITATIONS & CAUTIONS 1. Lagging Nature R² is calculated from past data By the time R² is high, the trend may already be established 2. Not a Standalone Indicator R² should confirm other signals, not generate them alone Always combine with price action, volume, support/resistance 3. Curve Fitting Risk Don't over-optimize R² thresholds on historical data What worked in the past may not work in the future Use R² as a filter, not a predictor 4. Market-Specific Behavior R² thresholds that work in trending stocks may fail in Forex Cryptocurrencies may require different R² settings than commodities Always test on your specific market/instrument Before Taking Any Signal: ✅ Does the crossover have a colored circle? (R² > threshold) ✅ What's the R² number shown? (Higher = better) ✅ Is R² rising or falling? (Rising = strengthening relationship) ✅ Check history table - what happened with similar R² values? ✅ Consider prediction - does it align with current signal? Simple R² Rules of Thumb: R² > 0.8: Excellent signal quality R² 0.6-0.8: Good signal quality R² 0.4-0.6: Moderate - use additional confirmation R² < 0.4: Poor - avoid or use extreme caution Think of R² as: A quality control inspector for MA crossovers A relationship therapist for your moving averages A statistical bouncer that only lets strong signals through Higher win rate + Better risk/reward = More profitable trading This script transforms the basic "when lines cross" approach into a sophisticated, statistically-validated trading system. R² is the secret sauce that separates random crossovers (Golden/Death) from meaningful trend changes. DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
อินดิเคเตอร์ Pine Script®
โดย kingshukghosh71
ADVANCED NIFTY OPTION BUY SELLADVANCED NIFTY OPTION BUY SELL – V1 is a non-repainting, trend-following TradingView indicator specially designed for NIFTY Index Options (CE / PE) traders. This indicator focuses on: Eliminating over-trading Providing high-quality, low-frequency signals Avoiding trades during sideways markets It combines EMA crossover, RSI momentum, and ADX trend strength to deliver clean and reliable buy/sell signals.
อินดิเคเตอร์ Pine Script®
โดย vinaychaudhary_inbox
BTC - Liquisync: Macro Pulse & Desync EngineLiquisync: Macro Pulse & Desync Engine | RM Strategic Context: The Macro Fuel Tank Why compare Global Liquidity to Bitcoin? Because Bitcoin acts as a "Global M2 Sponge." As central banks expand their balance sheets, this "Fuel" filters into the system, taking roughly 56 to 70 days to reach Bitcoin's price. Liquisync measures this lead-lag relationship to determine if the "Engine" (Price) is properly supported by the "Fuel" (M2). How the Model Differs: Liquisync vs. Standard Macro Composites Many existing macro scripts focus on a Linear Sum of indicators—adding up M2, Spread, and Copper/Gold into a single Z-score. While useful for general sentiment, these "Composite" models often suffer from Directional Blindness. They tell you if the environment is "Risk-On," but they cannot tell you if the Price is currently lying about the Liquidity. The Liquisync Edge: • Conflict Detection: Unlike composites that simply turn red or green, Liquisync identifies Desync. • Velocity Normalization: Instead of Z-scoring absolute values, we measure the Acceleration (Slope) of the move, allowing us to see "Decay" before the trend actually flips. How the Model Works 1. Pulse Velocity Mapping (The Dual-Slope Architecture) The engine utilizes a Dual-Slope Architecture to measure the "Dynamic Force" behind the market. By calculating the Linear Regression Slope for both Global Liquidity and BTC Price, we are measuring Acceleration. • Liquidity Slope (The Fuel): Measures the speed at which central banks are expanding or contracting the money supply. • Price Slope (The Engine): Measures the speed at which the market is repricing Bitcoin in response to that money (or due to other factors). The Mathematical Bridge: We don't just plot these lines independently; we normalize them. Because Global M2 is measured in Trillions and BTC in Thousands of Dollars, we transform both into a unified Relative Pulse Score (-100 to +100). Liquisync: The 4 Macro Scenarios (Directional Matrix) By measuring the interconnectivity of these two pulses, the engine identifies four distinct market regimes: Scenario A: Institutional Expansion (Harmony) Liquidity Slope (+ rising) | Price Slope (+ rising) Harmony. The trend is "True." The price increase is fully supported by global money. (Scenario Jan 2023) Scenario B: The Bear Trap (Desync / "Open Mouth") Liquidity Slope (+ rising) | Price Slope (- falling) The Core Edge. Liquidity is filling up, but price is dropping due to short-term panic. Because the fuel is there, the price must eventually snap upward to catch up with the liquidity reality. (Scenario Jun 2020) Scenario C: The Bull Trap (Desync / "Open Mouth") Liquidity Slope (- falling) | Price Slope (+ rising) The Danger Zone. Price is climbing on "Empty Fuel." Retail FOMO is driving the market while liquidity is being pulled. Highly unstable. (Scenario Jul 2022) Scenario D: Macro Contraction (Harmony) Liquidity Slope (- falling) | Price Slope (- falling) The Drain. Global liquidity is shrinking and price is following. A fundamental bear market. (Scenario Nov/Dec 2021) 2. Directional Desync (The Conflict Filter) Liquisync is a Conflict Filter. It ignores "Synchronous" phases where both lines move together and focuses 100% of its visual energy on the Desync scenarios (Bear Trap or Bull Trap). When the lines travel in opposite directions, the indicator generates Cyan Columns. The height of these columns tells you the intensity of the conflict. When the pulses move in Harmony (Scenario A & D), the desync value remains at zero. This creates a 'Visual Silence' on the chart, signaling that the current price trend is structurally healthy and macro-supported. 3. Liquisync Extreme (The Snap-Back Star ✦) This triggers when the "Open Mouth" (the Liquidity Pulse (Golden Line) and the Price Pulse (White Area) pull in diametrically opposite directions) desync reaches 85% of its 1-year historical record. This is a generational signal identifying the absolute limits of market irrationality relative to the macro reality (Price up, M2 down or vice versa). How to Read the Chart • Golden Pulse: The Liquidity Slope • White Area: The Price Slope • Harmony (No Columns): Price and Liquidity are in sync. Trend-following is safe. • Open Mouth (Cyan Columns): These are not momentum bars; they are Conflict Bars . They only appear when the Price and Liquidity are traveling in opposite directions. The taller the column, the more "stretched" the macro rubber band has become. • Magenta Stars: The desync is at a statistical limit. Expect a violent Macro Snap-Back toward the Golden Liquidity line. The 60-Day Lead-Lag Principle: Why the Delay? The Liquisync engine utilizes a specific forward-lag (defaulted to 60–80 days or 9 weeks, to be parametrized by the user) based on the Monetary Transmission Mechanism. Research into global liquidity cycles shows that central bank injections (M2 expansion) do not impact high-beta risk assets instantaneously. Capital follows a "Waterfall Effect": it moves first into primary dealer banks, then into credit markets and equities, and finally—once the "liquidity tide" has sufficiently risen—into the cryptocurrency ecosystem. Statistical correlation studies confirm that the peak relationship between Global M2 and Bitcoin historically occurs with a 56 to 63-day delay. By shifting the liquidity data forward, we align the "Macro Cause" with its "Market Effect," revealing a clearer predictive map that standard, unlagged indicators miss. Settings & Calibration: Tuning the Liquisync Engine The Liquisync engine is a precision instrument that requires specific calibration to align the "Macro Fuel" with the "Price Engine." Slope Lookback defines the sensitivity of our acceleration measurement; a setting of 6 (Weekly) or 30 (Daily) ensures we capture structural shifts while filtering out intraday noise Liquidity Lag is perhaps the most critical setting, as it shifts the M2 data forward to account for the standard 60–80 day (or 9-week) transmission delay—the time it takes for central bank liquidity to actually hit the crypto order books. Extreme Window establishes our statistical benchmark; by default, this is set to 52 (representing one full year on the Weekly timeframe), allowing the engine to identify "Magenta Star" signals by comparing the current directional desync against the highest records of the last 365 days. Recommended Calibration : • Daily (1D): Set Lag to 60–80 and Lookback to 30 . • Weekly (1W): Set Lag to 9 (9 weeks) and Lookback to 6 . The 1W chart is the preferred filter for macro cycles. Detailed Script Calculations The script aggregates liquidity from the FED, RRP, TGA, PBoC, ECB, and BoJ using request.security. We calculate the ta.linreg slope of this aggregate, normalize it via EMA-smoothed RSI mapping (-100 to +100), and apply a ta.change filter to identify directional opposition. The "Extreme" signal is derived from a rolling ta.highest window of the desync intensity. The Liquisync engine calculates the Linear Regression Slope (m) over a user-defined window: m = Where: • Δy = The distance between the current linear regression end-point and the previous bar. • Δx = The defined bar-count (Lookback). Risk Disclaimer & Credits The Liquisync is a thematic macro tool. Global liquidity data is subject to reporting delays (Note: Because central bank M2 data is typically reported with a lag, the Golden Pulse represents the most recently available macro data, not a real-time high-frequency feed.). This is not financial advice; it is a statistical model for institutional education. Rob Maths is not liable for losses incurred via use of this model. Tags: indicator, bitcoin, btc, macro, liquidity, desync, liquisync, institutional, m2, robmaths, Rob Maths
อินดิเคเตอร์ Pine Script®
โดย Rob_Maths
Volume Weighted ATRThis script implements a Volume‑Weighted Average True Range (VWATR) indicator, a variation of ATR that incorporates trading volume into the volatility calculation. Instead of treating all price movements equally, it amplifies true range during high‑volume periods and dampens it during low‑volume periods, producing a volatility measure that adapts to liquidity conditions. The script begins by allowing the user to choose a lookback length and a smoothing method, offering RMA, SMA, EMA, or WMA for flexibility in how responsive the indicator should be. The core of the calculation starts with the standard true range, which captures the most meaningful price movement of each bar. This true range is then multiplied by volume, creating a volume‑weighted true range that gives more importance to bars where market participation is higher. To ensure consistency, the script defines a custom moving‑average function that applies the selected smoothing method to any input series. This function is used twice: once to smooth the volume‑weighted true range and once to smooth volume itself. The final VWATR value is obtained by dividing the smoothed volume‑weighted true range by the smoothed volume. Mathematically, this produces a volume‑weighted mean of true range, making the indicator more sensitive to volatility expansions that occur with strong participation and less reactive to low‑volume noise. The script concludes by plotting this VWATR line, giving traders a clean, adaptive measure of volatility that can be used for regime detection, breakout confirmation, or dynamic stop sizing
อินดิเคเตอร์ Pine Script®
โดย chriskokal1