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Buy Sell Signal — Ema crossover [© gyanapravah_odisha]Professional EMA Crossover + ATR Risk Control Trade with confidence using a complete system that gives you clear entries, smart exits, and full automation. Includes: Precision 5/13 EMA crossover signals ATR-based adaptive stop-loss Multiple take-profit levels (with intermediate targets) Fully customizable R:R ratios ATR + volume filters to avoid choppy markets Real-time trade dashboard All alerts included Built for: Crypto, Forex, Stocks • Scalping & Swing Trading Built for you: Free, open-source & made for real-world trading.
Pine Script®指標
由gyanapravah_odisha提供
Mebane Faber GTAA 5In 2007, Mebane Faber published research that challenged the conventional wisdom of buy-and-hold investing. His paper, titled "A Quantitative Approach to Tactical Asset Allocation" and published in the Journal of Wealth Management, demonstrated that a simple timing mechanism could reduce portfolio volatility and drawdowns while maintaining competitive returns (Faber, 2007). This indicator implements his Global Tactical Asset Allocation strategy, known as GTAA5, following the original methodology. The core insight of Faber's research stems from a century of market data. By analyzing asset class performance from 1901 onwards, Faber found that a ten-month simple moving average served as an effective trend filter across major asset classes. When an asset trades above its ten-month moving average, it tends to continue its upward trajectory; when it falls below, significant drawdowns often follow (Faber, 2007, pp. 12-16). This observation aligns with momentum research by Jegadeesh and Titman (1993), who documented that intermediate-term momentum persists across equity markets. The GTAA5 strategy allocates capital equally across five diversified asset classes: domestic equities (SPY), international developed markets (EFA), aggregate bonds (AGG), commodities (DBC), and real estate investment trusts (VNQ). Each asset receives a twenty percent allocation when trading above its ten-month moving average. When an asset falls below this threshold, its allocation moves to short-term treasury bills (SHY), creating a dynamic cash position that scales with market risk (Cambria Investment Management, 2013). The strategy's historical performance during market crises illustrates its function. During the 2008 financial crisis, traditional sixty-forty portfolios experienced drawdowns exceeding forty percent. The GTAA5 strategy limited losses to approximately twelve percent by reducing equity exposure as prices declined below their moving averages (Faber, 2013). This asymmetric return profile represents the strategy's primary characteristic. This implementation uses monthly closing prices retrieved via request.security() to calculate the ten-month simple moving average. This distinction matters, as approximations using daily data (such as a 200-day moving average) can generate different signals during volatile periods. Monthly data ensures the indicator produces signals consistent with published academic research. The indicator provides position monitoring, automatic rebalancing detection on either the first or last trading day of each month, and share calculations based on user-defined capital. A dashboard displays current trend status for each asset class, target versus actual weightings, and trade instructions for rebalancing. Performance metrics including annualized volatility and Sharpe ratio provide ongoing risk assessment. Several limitations warrant acknowledgment. First, the strategy rebalances monthly, meaning it cannot respond to intra-month market crashes. Second, transaction costs and taxes from monthly rebalancing may reduce net returns for taxable accounts. Third, the ten-month lookback period, while historically robust, offers no guarantee of future effectiveness. As Ilmanen (2011) notes in "Expected Returns", all timing strategies face the risk of regime change, where historical relationships break down. This indicator serves educational purposes and portfolio monitoring. It does not constitute financial advice. References: Cambria Investment Management (2013). Global Tactical Asset Allocation: An Introduction to the Approach. Research Report, Los Angeles. Faber, M.T. (2007). A Quantitative Approach to Tactical Asset Allocation. Journal of Wealth Management, Spring 2007, pp. 9-79. Faber, M.T. (2013). Global Asset Allocation: A Survey of the World's Top Asset Allocation Strategies. Cambria Investment Management, Los Angeles. Ilmanen, A. (2011). Expected Returns: An Investor's Guide to Harvesting Market Rewards. John Wiley and Sons, Chichester. Jegadeesh, N. and Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), pp. 65-91.
Pine Script®指標
由EdgeTools提供
VCP Base Detector 📊 VCP BASE DETECTOR - AUTO-DETECT CONSOLIDATION ZONES 🎯 WHAT IS THIS INDICATOR? This indicator automatically detects and marks ALL consolidation bases (VCP bases) on your chart. It: ✅ Auto-detects when price enters consolidation ✅ Measures base tightness (volatility contraction) ✅ Tracks base duration (how long consolidating) ✅ Rates base quality (1-5 stars) ✅ Shows volume drying confirmation ✅ Detects base breakouts ✅ Shows progression of multiple bases (VCP pattern) Use this WITH the "Mark Minervini SEPA Balanced" indicator for complete trading setups! ✅ Mark Minervini SEPA Balanced = Trend + RS + Stage ✅ VCP Base Detector = Base Quality + Progression Combined = Complete professional trading system! 🎨 WHAT YOU SEE ON YOUR CHART 1️⃣ COLORED BOXES (Base Zones): 🟦 Aqua Box = ⭐⭐⭐⭐⭐ Excellent base (tightest) 🔵 Blue Box = ⭐⭐⭐⭐ Very good base 🟣 Purple Box = ⭐⭐⭐ Good base 🟠 Orange Box = ⭐⭐ Fair base ⬜ Gray Box = ⭐ Weak base 2️⃣ BASE LABELS (With Metrics): Shows above each base: • Duration: 20 days • Tightness: 0.9% • Quality: ⭐⭐⭐⭐⭐ 3️⃣ BREAKOUT LABELS (When price exits base): Green "BREAKOUT ✓" label shows: • Price: ₹800 • Volume: 1.6x 4️⃣ DASHBOARD (Top-Left Panel): Real-time base metrics showing: • In Base: YES/NO • Tightness: 0.8% • Duration: 22 days • Range: 3.5% • Volume: Drying/Normal • Quality: ⭐⭐⭐⭐ 📊 UNDERSTANDING BASE QUALITY (⭐ Rating System) ⭐⭐⭐⭐⭐ (EXCELLENT) ├─ Tightness: < 0.8% ATR ├─ Duration: 15-40 days ├─ Volume: Significantly drying ├─ Price Range: < 5% └─ Result: Most explosive breakouts (best quality) ⭐⭐⭐⭐ (VERY GOOD) ├─ Tightness: 0.8-1.0% ATR ├─ Duration: 15-35 days ├─ Volume: Very dry ├─ Price Range: < 7% └─ Result: High probability breakouts ⭐⭐⭐ (GOOD) ├─ Tightness: 1.0-1.3% ATR ├─ Duration: 15-30 days ├─ Volume: Drying ├─ Price Range: < 8% └─ Result: Decent breakout probability ⭐⭐ (FAIR) ├─ Tightness: 1.3-1.5% ATR ├─ Duration: 15-25 days ├─ Volume: Moderate drying ├─ Price Range: < 10% └─ Result: Lower quality, riskier ⭐ (WEAK) ├─ Tightness: > 1.5% ATR ├─ Duration: Varies ├─ Volume: Not drying enough ├─ Price Range: > 10% └─ Result: Low quality, skip these 📈 HOW TO USE - STEP BY STEP STEP 1: ADD INDICATOR TO CHART ──────────────────────────────── 1. Open any stock chart (use 1D timeframe for swing trading) 2. Click "Indicators" 3. Search "VCP Base Detector" 4. Click to add to chart 5. Wait a moment for boxes to appear STEP 2: SCAN FOR BASES ─────────────────────── Look for: ✓ Colored boxes appearing on chart (bases forming) ✓ Dashboard showing "In Base: YES" ✓ Tightness below 1.5% ✓ Volume Dry: YES STEP 3: MONITOR BASE QUALITY ────────────────────────────── Dashboard shows stars: ⭐⭐⭐⭐⭐ = Wait for breakout (best setup) ⭐⭐⭐⭐ = Good quality, watch for breakout ⭐⭐⭐ = Decent, but not ideal ⭐⭐ or ⭐ = Skip (lower probability) STEP 4: WAIT FOR BREAKOUT ────────────────────────── When price breaks above the box: ✓ Green "BREAKOUT ✓" label appears ✓ Shows breakout price and volume ✓ If volume shows 1.3x+, breakout is confirmed ✓ This is your entry signal! STEP 5: CHECK MINERVINI CRITERIA (Use Both Indicators) ─────────────────────────────────────────────────────── Before entering: ✓ VCP Base Detector shows ⭐⭐⭐⭐+ quality base ✓ Mark Minervini indicator shows BUY SIGNAL ✓ Dashboard shows 10+ criteria GREEN ✓ Stage shows S2 Result: HIGH-PROBABILITY SETUP! 🎯 📋 DASHBOARD INDICATORS - WHAT EACH MEANS BASE METRICS SECTION: ───────────────────── In Base = ✓ YES or ✗ NO Show if price is currently consolidating Tightness = 0-3% (lower = tighter = better) < 0.8% = ⭐⭐⭐⭐⭐ (excellent) 0.8-1.0% = ⭐⭐⭐⭐ (very good) 1.0-1.3% = ⭐⭐⭐ (good) 1.3-1.5% = ⭐⭐ (fair) > 1.5% = ⭐ (weak) Duration = Number of days in consolidation 15 days = ⭐ (too short, weak) 20 days = ⭐⭐⭐ (ideal) 30 days = ⭐⭐⭐⭐ (very long, strong) > 40 days = ⚠️ (too long, may break down) Range = % movement within the base < 5% = ⭐⭐⭐⭐⭐ (excellent, very tight) 5-8% = ⭐⭐⭐ (good) > 10% = ⭐ (loose, not ideal) Vol Dry = Volume status during consolidation ✓ YES = Volume contracting (good) ✗ NO = Normal/high volume (weak setup) QUALITY SECTION: ──────────────── Stars = Overall base quality rating ⭐⭐⭐⭐⭐ = Best quality bases (most explosive) ⭐⭐⭐⭐ = Excellent quality ⭐⭐⭐ = Good quality ⭐⭐ = Fair quality ⭐ = Weak quality (skip) 52W INFO SECTION: ───────────────── From 52W Hi = How far below 52-week high is price? < 25% = In sweet zone ✓ > 25% = Too far from highs ✗ From 52W Lo = How far above 52-week low is price? > 30% = In sweet zone ✓ < 30% = Too close to lows ✗ ⚙️ CUSTOMIZATION GUIDE Click ⚙️ gear icon next to indicator to adjust: MINIMUM BASE DAYS (Default: 15) ────────────────────────────── Current: 15 = Include shorter bases Change to 20 = Longer bases only (higher quality) Change to 10 = Include very short bases (more frequent) Why: Longer bases = better breakouts, but fewer opportunities ATR% TIGHTNESS THRESHOLD (Default: 1.5) ──────────────────────────────────────── Current: 1.5 = BALANCED for Indian stocks Change to 1.0 = ONLY very tight bases (⭐⭐⭐⭐⭐) Change to 2.0 = Looser bases included (more frequent) Why: Lower = tighter bases = better quality, fewer signals VOLUME DRYING THRESHOLD (Default: 0.7) ────────────────────────────────────── Current: 0.7 = Volume at 70% of average (good drying) Change to 0.6 = Stricter (more volume drying required) Change to 0.8 = Looser (less volume drying required) Why: Volume drying = consolidation confirmation 52W PERIOD (Default: 252) ───────────────────────── Current: 252 = Full year lookback Don't change unless you know what you're doing 📈 REAL TRADING EXAMPLE SCENARIO: Trading MARUTI over 6 weeks WEEK 1: Nothing happening ───────────────────────── - No boxes on chart - Dashboard: "In Base: NO" - Action: SKIP (not consolidating) WEEK 2: Base Starting to Form ───────────────────────────── - Purple box appears (⭐⭐⭐ quality) - Dashboard: "In Base: YES" - Tightness: 1.2% - Duration: 3 days (too new) - Action: MONITOR (let it develop) WEEK 3-4: Base Tightening ────────────────────────── - Box color changes from Purple → Blue (⭐⭐⭐⭐ quality) - Dashboard: Duration: 12 days - Tightness: 0.9% - Vol Dry: YES - Action: GET READY (high-quality base forming) WEEK 4-5: Perfect Base Formed ────────────────────────────── - Box changes to Aqua (⭐⭐⭐⭐⭐ EXCELLENT!) - Dashboard: Duration: 22 days ✓ - Tightness: 0.8% ✓ - Vol Dry: YES ✓ - Range: 4.2% ✓ - Action: WATCH FOR BREAKOUT WEEK 5: BREAKOUT HAPPENS! ────────────────────────── - Price closes above box - Green "BREAKOUT ✓" label appears - Shows: Price ₹850, Volume 1.6x - Mark Minervini indicator: BUY SIGNAL ✓ - Dashboard all GREEN ✓ - Action: ENTER TRADE Entry: ₹850 Stop: Box low (₹820) Target: ₹980 (20% move) RESULT: +15.3% profit in 2 weeks! ✅ 💡 PRO TIPS FOR BEST RESULTS 1. COMBINE WITH MINERVINI INDICATOR Use BOTH indicators together: ✓ VCP Detector = Base quality ✓ Minervini = Trend + RS + Volume Result = Best high-probability setups 2. PREFER ⭐⭐⭐⭐+ QUALITY BASES Don't trade ⭐⭐ or ⭐ quality bases Only trade ⭐⭐⭐+ (ideally ⭐⭐⭐⭐+) Higher quality = Higher win rate 3. WAIT FOR VOLUME CONFIRMATION Base must show "Vol Dry: YES" Breakout must have 1.3x+ volume Low volume breakouts fail often 4. USE 1D TIMEFRAME ONLY This indicator optimized for daily charts Intraday = Too many false signals Weekly = Misses good setups 5. MONITOR MULTIPLE BASES (VCP PATTERN) Multiple bases getting tighter = VCP pattern Each base should be better quality than last Tightest base = Biggest breakout 6. COMBINE WITH 52W CONTEXT Dashboard shows "From 52W Hi" and "From 52W Lo" Price should be in sweet zone: < 25% from 52W high (uptrend territory) > 30% above 52W low (not oversold) 7. BACKTEST FIRST Use TradingView Replay Go back 6-12 months See how many bases appeared See which were profitable ❌ BASES TO SKIP (Lower Probability) Skip if: ❌ Quality rating < ⭐⭐⭐ (only 1-2 stars) ❌ Tightness > 1.5% (too loose) ❌ Duration < 10 days (too short, weak) ❌ Duration > 50 days (too long, may break down) ❌ Vol Dry: NO (volume not contracting) ❌ Range > 10% (not tight consolidation) ❌ Price < 30% from 52W low (too weak) ❌ Price > 30% from 52W high (too far up, late entry) ⚠️ IMPORTANT DISCLAIMERS ✓ This indicator is for educational purposes only ✓ Past performance does not guarantee future results ✓ Always use proper risk management (position sizing, stop loss) ✓ Never risk more than 2% of your account on one trade ✓ Base detection is technical analysis, not investment advice ✓ Losses can occur - trade at your own risk ✓ Combine with other indicators for best results 🎓 LEARNING RESOURCES To understand VCP bases better: → Study "Trade Like a Stock Market Wizard" by Mark Minervini → Watch: "VCP Pattern" videos on YouTube → Practice: Backtest on 1-2 years of historical data → Learn: How consolidation precedes breakouts 🚀 YOU'RE READY! Happy trading! 📈🎯
Pine Script®指標
由thakurkrishankant提供
知行趋势指标【B站 Z哥的黄白线指标】 黄白线指标是由 B站 UP 主 Z哥 总结并分享的一套趋势观察工具。指标以两条核心线——黄线（短周期趋势） 与 白线（长周期趋势） 构成，通过两者之间的相对位置、交叉关系及区域结构，帮助交易者更清晰地判断行情的强弱、趋势方向与潜在转折点。 黄线通常代表短期多空力量的波动，而白线反映更稳定的中期趋势。当黄线向上突破白线时，常视为短期强势启动的信号；反之，当黄线跌破白线时，则可能意味着短线转弱或趋势反转的风险。 该指标适合趋势跟随、顺大逆小的交易逻辑，也可作为交易系统中的辅助判断工具。 The Yellow-White Line Indicator is a trend-analysis tool created and shared by the Bilibili content creator Z-Ge. It is built around two primary lines: the Yellow Line (short-term trend) and the White Line (medium-term trend). By observing the interaction, crossover, and relative position between these two lines, traders can better identify market strength, trend direction, and potential reversal points. The Yellow Line captures short-term momentum shifts, while the White Line reflects a more stable medium-term trend. When the Yellow Line crosses above the White Line, it often signals improving short-term strength; when it crosses below, it may indicate weakening momentum or a possible trend reversal. This indicator works well with trend-following systems and can serve as a supplemental confirmation tool in broader trading strategies.
Pine Script®指標
由jia295339800提供
EMA 20The EMA 20 (Exponential Moving Average 20) is a simple trend-following indicator designed to smooth price fluctuations and highlight short-term market direction. This script plots a 20-period exponential moving average in red, allowing traders to quickly assess whether price is trading above or below the short-term trend. When price remains above the EMA 20, it often suggests bullish strength; when price falls below it, it may indicate short-term weakness. This indicator is minimal, clear, and useful as a foundational trend reference in any trading system.
Pine Script®指標
由catty9693提供
SMAs (10,50,100,200) by BenderDescription: Multi-timeframe Simple Moving Average indicator displaying four popular SMAs (10, 50, 100, 200) commonly used for trend analysis and support/resistance levels. Each SMA is fully customizable with individual settings for period length, data source, timeframe, and color. Perfect for traders who want to view higher timeframe SMAs on lower timeframe charts or combine multiple timeframe analyses in one view. Key Features: Four independent SMAs with default periods of 10, 50, 100, and 200 Multi-timeframe capability - view daily SMAs on any chart timeframe Fully customizable: length, source (close, open, high, low, etc.), timeframe, and color Toggle each SMA on/off individually Clean, organized settings menu with grouped parameters Semi-transparent lines for better chart visibility
Pine Script®指標
由valchak提供
Dark Vector ScalpingThe Dark Vector Scalping indicator is a high-frequency trend-following system designed specifically to capture rapid momentum shifts in the market. It combines a staircase-style breakout logic with volatility-adjusted trailing stops to define market direction. While the underlying math is robust enough for various asset classes, this specific configuration is optimized for scalping operations on 1-minute and 5-minute timeframes. It aims to filter out the "noise" common in lower timeframes while reacting quickly to genuine breakouts. Core Components 1. The Apex Engine (Staircase Logic) Unlike traditional moving averages that curve with price, this engine uses a "hard" breakout logic. It looks back at a specific number of bars (Sensitivity) to find the highest highs and lowest lows. Bullish Flip: Occurs when the price closes below the calculated low of the previous trend. Bearish Flip: Occurs when the price closes above the calculated high of the previous trend. Trailing Stop: Once a trend is established, a trailing stop line is drawn. This line only moves in the direction of the trend (up for bullish, down for bearish) and never retraces, acting as a ratchet to lock in paper profits. 2. Volatility Normalization To prevent getting stopped out by random market noise (scam wicks), the indicator calculates the Average True Range (ATR). It multiplies this volatility metric by a user-defined deviation factor to determine exactly how far the stop line should be from the current price action. 3. The Hull Moving Average (HMA) Filter The script includes an optional 50-period Hull Moving Average. The HMA is known for being extremely fast and smooth, reducing lag compared to standard moving averages. Visual Reference: You can plot the line to see the overall macro trend. Hard Filter: You can enable a "Safety Filter" in the settings. If enabled, the system will only generate Buy signals if the price is above the HMA, and Sell signals if the price is below the HMA. 4. The Dashboard A data panel is located on the chart (customizable position) to provide instant numerical data without needing to calculate levels manually. It displays the current trend state, the exact price of the trailing stop, and the status of the HMA filter. Settings & Configuration Sensitivity (Lookback) Default: 5 This is the primary setting for the Apex Engine. A setting of 5 is the "sweet spot" for 1-minute and 5-minute charts. It allows the system to react very quickly to sudden volume spikes. Increasing this number (e.g., to 10) will make the signals slower and more conservative. Stop Deviation Default: 3.0 This controls the "breathing room" for the trade. A value of 3.0 allows for standard volatility on minute charts without triggering a premature exit. Lowering this to 2.0 will result in tighter stops but more false signals. HMA Filter Use HMA as Filter? (Default: OFF): When OFF, the system signals purely on price action breakouts (fastest). When ON, the system waits for the price to align with the 50-period HMA before signaling (safest, but may delay entry). How to Interpret Visuals Candle Colors Teal/Green: The market is in a Bullish regime. Red/Pink: The market is in a Bearish regime. The Line The solid stepped line represents the hard invalidation point. If price closes beyond this line, the trend is considered over. Diamond Signals Light Green Diamond (Below Bar): Confirmed Buy Signal. A new bullish trend has started. Light Red/Pink Diamond (Above Bar): Confirmed Sell Signal. A new bearish trend has started. Trading Strategy Guide The Scalp Entry Ensure you are on a 1-minute or 5-minute timeframe. Wait for a signal Diamond to close. Do not enter while the bar is still forming, as the signal may repaint (disappear) if the price retraces before the close. Long Entry: Enter when a Green Diamond appears and the candle turns Teal. Short Entry: Enter when a Red Diamond appears and the candle turns Red. Risk Management Stop Loss: Your invalidation level is the "Apex Stop" line. You can place your hard stop loss slightly beyond this line. Take Profit: Because this is a trend-following system, it is often best to hold until the candle color changes, or to take profit at fixed Risk:Reward ratios (e.g., 1:1.5 or 1:2). The HMA Nuance If you find the market is "choppy" (moving sideways), enable the "Use HMA as Filter" option in the settings. This will force the system to ignore signals that are counter-trend to the longer-term momentum. Disclaimer The information provided by the "Dark Vector Scalping" indicator and this accompanying guide is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Trading cryptocurrencies, stocks, and forex involves a high level of risk and may not be suitable for all investors. You could lose some or all of your initial investment.
Pine Script®指標
由DarkPoolCrypto提供
Multi-Factor Trend Confluence Indicator (PTP V4)Disclaimer: This is a technical analysis tool for educational and informational purposes only. It does not constitute investment advice, financial solicitation, or a recommendation to buy or sell any security or instrument. Trading involves significant risk, and past performance is not indicative of future results. Use at your own risk. KEY Features and Strategic Methodology This is a comprehensive trend and confluence indicator built on multiple factors to identify potential pullbacks within an established trend. • Core Trend Filter: Uses a long-term EMA to confirm the overall market bias. • Fibonacci Pullback Logic: Identifies potential low-risk entry zones by calculating a 61.8% Fibonacci Retracement over a user-defined lookback period. • Multi-Factor Confluence: A signal is generated only when the price touches the Fib zone AND the following factors align (You can edit the script to adjust the confluence conditions.): o RSI is above 50. o Positive DI is above Negative DI (DMI Bullish Crossover). o Price is above the fast EMA. • Consecutive Signal Counter: Includes a unique counter that highlights bars where the confluence conditions have been met for a minimum number of consecutive candles (4 by default), aiding in the validation of strong momentum entries. • Moving Average Visualization: Plots and color-fills 10 WMA, 21 EMA, 42 EMA, and 200 EMA to provide a full market context and visualize momentum shifts. 1. Short-Term Momentum (WMA10 vs. EMA42 Fill) This fill area highlights immediate price acceleration and momentum shifts: • Green Fill (Bullish Momentum): WMA10 > EMA42. • Red Fill (Bearish Momentum): WMA10 < EMA42. 2. Long-Term Market Context (EMA200 vs. EMA42 Fill) This fill area defines the dominant backdrop of the market, essential for strategic positioning: • Green Fill (Bullish Context): EMA200 < EMA42. • Red Fill (Bearish Context): EMA200 > EMA42. EMA200 Line Coloration The EMA200 line color itself also provides a visual cue for the long-term context: • Red Line: When EMA200 > EMA42 (Bearish Context). • Green Line: When EMA200 < EMA42 (Bullish Context). Customization The indicator is highly customizable via the settings menu, allowing users to adjust lengths for EMA, RSI, DMI, Pivot Points, and the specific parameters for the Fibonacci Retracement Strategy (tolerance and candle limits).
Pine Script®指標
由pablo.corti提供
EMA 9/20/50/100/200This script plots the five most commonly used Exponential Moving Averages (EMAs): 9, 20, 50, 100, and 200. These EMAs help traders quickly identify short-term momentum, medium-term trends, and long-term market direction. It is useful for: Trend identification Momentum confirmation Pullback entries Reversal detection Multi-timeframe confluence trading What’s Included EMA 9 → short-term momentum EMA 20 → near-term trend guide EMA 50 → medium-term trend EMA 100 → broad trend structure EMA 200 → long-term direction Each EMA is color-coded for clarity, making it easy to read and visually track trend shifts. How to Use When shorter EMAs cross above longer EMAs → bullish trend strengthening When shorter EMAs cross below longer EMAs → bearish trend strengthening Wide spacing between EMAs indicates a strong trend Compression or clustering often signals potential reversals or breakout conditions This indicator is simple, clean, and effective for all timeframes and asset classes.
Pine Script®指標
由KettleCooked提供
GENESIS DHANUS A clean, non-repainting trend-following signal indicator. Buy signals appear when: • Fast EMA (9) crosses above Slow EMA (21) • RSI > 50 (bullish momentum) • Previous bar volume > 1.5× 20-period average • Price is above the current Heikin-Ashi "trend level" Sell signals use the exact opposite conditions. All conditions use confirmed data only (no future leak, no repainting). Perfect for swing trading and alert setups on any timeframe. Features: - Large clear arrows with text - Optional light background coloring - Precise alert conditions - EMA lines can be toggled 100% Pine Script v5 – open source and free.
Pine Script®指標
由Rappleh提供
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Pine Script®指標
由Semtex76提供
Alper-EMAAlper-EMA Description: This indicator allows you to display 5 customizable EMAs (Exponential Moving Averages) on a single chart. Each EMA can be configured independently with length, color, visibility, and calculation timeframe. Features: 5 fully customizable EMAs Set individual length and color for each EMA Toggle visibility for each EMA Multi-timeframe calculation: e.g., display EMA300 calculated on a 30-minute timeframe while viewing a 1-minute chart Labels display EMA period and timeframe for clarity Adjustable label size: tiny / small / normal / large Clear and readable plot lines Use Cases: Monitor multiple timeframe EMAs simultaneously Analyze trend and support/resistance levels Track EMA crossovers for strategy development Note: This indicator is suitable for both short-term (scalping) and medium-to-long term analysis. The multi-timeframe feature allows you to see different EMA perspectives on a single chart quickly.
Pine Script®指標
由alperdesdicioglu提供
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note The log-regression window LR length controls how long a long-term fair value path is estimated from historical data. The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”. When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as: “Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.” Guidelines: In general, set the AHR window equal to or slightly longer than the LR window: If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution. If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history. For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years). For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years. 1. Price series & windows Working timeframe: daily (1D). Let the daily close of the current symbol on day t be P_t . Main length parameters: HM window: L_HM = maLen (default 200 days) Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years) AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years) 2. Harmonic moving average (HM) On a window of length L_HM, define the harmonic mean: HM_t = ^(-1) Here eps = 1e-10 is used to avoid division by zero. Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly. 3. Log-regression baseline (LR) On a window of length L_LR, perform a linear regression on log price: Over the last L_LR bars, build the series x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit x_k ≈ a + b * k. The fitted value at the current index t is log_P_hat_t = a + b * t. Exponentiate to get the log-regression baseline: LR_t = exp( log_P_hat_t ). Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days. 4. HM-based AHR (valuation ratio) At each time t, build an HM-based AHR (valuation multiple): AHR_t = ( P_t / HM_t ) * ( P_t / LR_t ) Interpretation: P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean). P_t / LR_t : deviation of price from the long-term log-regression trend. Multiplying them means: if price is above both HM and LR, “expensiveness” is amplified; if price is below both, “cheapness” is amplified. Typical reading: AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper. AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive. 5. Empirical quantile thresholds (Opp / Risk) On each new day, whenever AHR_t is valid, add it into a rolling array: A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements) On this empirical distribution, define two quantiles: Opportunity quantile: q_opp (default 15%) Risk quantile: q_risk (default 65%) Using standard percentile computation (order statistics + linear interpolation), we get: Opp threshold: theta_opp = Percentile( A_t_window, q_opp ) Risk threshold: theta_risk = Percentile( A_t_window, q_risk ) We also compute the percentile rank of the current AHR inside the same history: q_now = PercentileRank( A_t_window, AHR_t ) ∈ This yields three valuation zones: Opportunity zone: AHR_t <= theta_opp (corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.) Neutral zone: theta_opp < AHR_t < theta_risk Risk zone: AHR_t >= theta_risk (corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.) All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity. 6. DCA simulation (lightweight, rolling window) Given: a daily budget B (input: budgetPerDay), and a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years), The script applies the following rule on each new day t: If thresholds are unavailable or AHR_t > theta_risk → classify as Risk zone → buy = 0 If AHR_t <= theta_opp → classify as Opportunity zone → buy = 2B (double size) Otherwise (Neutral zone) → buy = B (normal DCA) Daily invested cash: C_t ∈ {0, B, 2B} Daily bought quantity: DeltaQ_t = C_t / P_t The script keeps rolling sums over the last H days: Cumulative position: Q_H = sum_{k=t-H+1..t} DeltaQ_k Cumulative invested cash: C_H = sum_{k=t-H+1..t} C_k Current portfolio value: PortVal_t = Q_H * P_t Cumulative P&L: PnL_t = PortVal_t - C_H Active days: number of days in the last H with C_k > 0. These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
Pine Script®指標
由Anoria_4RICH提供
1
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart: SMA 50 – Short-term trend direction SMA 150 – Medium-term trend direction ATR – Market volatility (Average True Range) Line colors and lengths can be customized in the settings. The ATR is plotted on the same chart for quick volatility reference without needing a separate panel. This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
Pine Script®指標
由matan2t提供
Support Line [by rukich]🟠 OVERVIEW The indicator displays a floating line that acts as a support level. It's important to remember that any support level can be broken. 🟠 COMPONENTS The indicator is based on the percentage difference between the closes of the n-th bar back and the current bar. The resulting percentage is smoothed to remove noise. The indicator is displayed as a green-red line (the colors don’t carry meaning — they are used just for visual variety). When the price touches the support level, the bar background turns green. For convenience, there is a label on the right side of the indicator showing the current value of the line. 🟠 HOW TO USE The indicator includes several settings that can be adjusted, though optimal defaults are provided. Settings: Timeframe — specifies which timeframe’s data is used to calculate the line. Candles back — specifies how many bars back from the current one are used. The indicator should be used according to general support-zone logic. Since no support zone guarantees a price bounce, the optimal approach is to confirm the reaction after the price touches the line. Example of use: In the current example, the Timeframe in the indicator settings is set to 1 hour, and the currently open chart is 5 minutes. This means that on the 5-minute chart we see a 1-hour line. After the price touches the support line, you need to see a confirmation of the reaction to understand whether the support zone is holding the price. In the examples, reaction confirmation is shown through: the formation of an M5 shift and the invalidation of an FVG M5- (the latter is more risky than the M5 shift): 🟠 CONCLUSION The indicator shows a floating support zone, and when tested, you should confirm the reaction on a lower timeframe.
Pine Script®指標
由rukich提供