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Trend Candle CounterComplete Tutorial: Trend Candle Counter Pine ScriptTable of Contents Installation Guide Understanding the Indicator How It Works Customization Options Trading Strategies Setting Up Alerts Troubleshooting 1. Installation Guide {#installation}Step-by-Step Installation:Step 1: Open TradingView Go to www.tradingview.com Log in to your account Step 2: Access Pine Editor Click on "Pine Editor" tab at the bottom of the chart Or press Alt + E (Windows) or Option + E (Mac) Step 3: Create New Indicator Click "Open" → "New blank indicator" Delete any default code Step 4: Paste the Script Copy the entire Trend Candle Counter script Paste it into the editor Step 5: Save and Apply Click "Save" (or Ctrl + S) Give it a name: "Trend Candle Counter" Click "Add to Chart" ✅ Done! The indicator should now appear on your chart.2. Understanding the Indicator {#understanding}What Does It Do?This indicator numbers each candle based on the current trend: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Trend TypeNumberingVisualUptrend+1, +2, +3, +4...🟢 Green labelsDowntrend-1, -2, -3, -4...🔴 Red labelsTrend ChangeResets to ±1Label color switchesVisual Components: Candle Labels - Numbers above each candle Trend Line (EMA) - Green (up) / Red (down) Background Shading - Light green/red tint Info Table - Top-right corner showing: Current trend direction Current candle number Current price 3. How It Works {#how-it-works}Trend Detection Logic:IF Close > EMA → UPTREND (positive counting) IF Close < EMA → DOWNTREND (negative counting) Counting Mechanism:Example Uptrend:Candle 1: Close > EMA → Label: +1 Candle 2: Close > EMA → Label: +2 Candle 3: Close > EMA → Label: +3 Candle 4: Close < EMA → Label: -1 (trend changed!) Example Downtrend:Candle 1: Close < EMA → Label: -1 Candle 2: Close < EMA → Label: -2 Candle 3: Close < EMA → Label: -3 Candle 4: Close > EMA → Label: +1 (trend changed!) Key Insight:The higher the absolute number, the longer the trend has been running!4. Customization Options {#customization}Accessing Settings: Click the gear icon ⚙️ next to the indicator name Go to "Inputs" tab Available Parameters: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}ParameterDefaultDescriptionRecommendationTrend Detection Length14EMA period for trend5-10: Scalping14-20: Day trading50-200: Swing tradingShow Candle Numbers✅ YesDisplay labelsDisable for cleaner chartLabel SizeSmallSize of numbersTiny: Multi-timeframeLarge: Focus on one chartUptrend ColorGreenPositive number colorCustomize to preferenceDowntrend ColorRedNegative number colorCustomize to preferenceOptimization by Trading Style:For Scalpers (1m - 5m charts):Trend Detection Length: 5-10 Label Size: Tiny Show Labels: Optional (can be cluttered) For Day Traders (15m - 1h charts):Trend Detection Length: 14-20 Label Size: Small Show Labels: Yes For Swing Traders (4h - Daily charts):Trend Detection Length: 50-100 Label Size: Normal Show Labels: Yes 5. Trading Strategies {#strategies}Strategy 1: Trend Reversal TradingEntry Signals: Buy: When counter changes from negative to +1 Sell: When counter changes from positive to -1 Confirmation: Wait for +2 or -2 to confirm trend strength Use additional indicators (RSI, MACD) for validation Example:Candle: -5, -6, -7, -8, +1, +2 ← BUY HERE Stop Loss: Below the -8 candle low Target: When counter reaches +8 to +10 Strategy 2: Trend Continuation TradingEntry Signals: Buy: Enter on pullbacks during uptrend (e.g., at +3, +5, +7) Sell: Enter on bounces during downtrend (e.g., at -3, -5, -7) Risk Management: Avoid entering at high numbers (+15, -15) - trend may be exhausted Example:Candle: +1, +2, +3 ← Small pullback, BUY Continue: +4, +5, +6, +7 Exit: When counter resets to -1 Strategy 3: Trend Exhaustion DetectionWarning Signs: Counter reaches +10 or higher → Uptrend may be overextended Counter reaches -10 or lower → Downtrend may be overextended Action: Tighten stop losses Take partial profits Watch for reversal patterns (doji, engulfing) Strategy 4: Multi-Timeframe AnalysisSetup: Add indicator to 3 timeframes (e.g., 15m, 1h, 4h) Look for alignment Best Trades:15m: +1 (new uptrend) 1h: +5 (established uptrend) 4h: +3 (strong uptrend) → HIGH PROBABILITY BUY 6. Setting Up Alerts {#alerts}Built-in Alert Conditions:The script includes 2 automatic alerts: "Uptrend Started" - Triggers when counter = +1 "Downtrend Started" - Triggers when counter = -1 How to Set Up Alerts:Step 1: Right-click on chart Select "Add Alert" Step 2: Configure Alert Condition: Select "Trend Candle Counter" Choose: "Uptrend Started" or "Downtrend Started" Options: Once per bar close (recommended) Webhook URL (for automation) Step 3: Notification Settings ✅ Popup ✅ Send email ✅ Push notification (mobile app) ✅ Play sound Step 4: Create Alert Click "Create" Custom Alert Ideas:Alert for Specific Candle Numbers: Notify when counter reaches +5 or -5 Notify when counter exceeds +10 or -10 (exhaustion) 7. Troubleshooting {#troubleshooting}Common Issues & Solutions:Issue 1: Labels are too cluttered Solution: Disable "Show Candle Numbers" in settings Use larger timeframe Reduce label size to "tiny" Issue 2: Too many false signals Solution: Increase "Trend Detection Length" (e.g., 20, 50) Wait for +2 or -2 confirmation Combine with other indicators Issue 3: Trend line doesn't match price action Solution: Adjust EMA length to match your trading style Consider using different trend detection (SMA, HMA) Issue 4: Indicator not showing on chart Solution: Check if it's in a separate pane - move to main chart Refresh the page Re-add the indicator Issue 5: Counter seems delayed Solution: This is normal - indicator confirms on candle close For faster signals, use lower timeframe Reduce EMA length (but expect more noise) 8. Advanced Tips 💡Combining with Other Indicators:Best Combinations: RSI + Trend Candle Counter Buy at +1 when RSI > 50 Sell at -1 when RSI < 50 MACD + Trend Candle Counter Confirm +1 with MACD bullish crossover Confirm -1 with MACD bearish crossover Volume + Trend Candle Counter Strong trends (+1) should have increasing volume Low volume at high numbers (+10) = exhaustion Reading Market Psychology: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Counter ValueMarket Psychology+1 to +3Early adopters entering+4 to +7Momentum building+8 to +12FOMO phase+13+Extreme greed - caution!-1 to -3Early sellers-4 to -7Panic building-8 to -12Capitulation-13+Extreme fear - reversal likely9. Real Trading Example 📊Scenario: BTC/USD 1H ChartTime | Counter | Action --------|---------|---------------------------------- 10:00 | -8 | Downtrend established 11:00 | -9 | Still falling 12:00 | -10 | Exhaustion zone - watch closely 13:00 | +1 | ✅ BUY SIGNAL - Trend reversal! 14:00 | +2 | Confirmation - trend valid 15:00 | +3 | Hold position 16:00 | +4 | Add to position (optional) 17:00 | +5 | Move stop loss to breakeven ... 22:00 | +11 | Take partial profits 23:00 | +12 | Tighten stop loss 00:00 | -1 | ❌ EXIT - Trend reversed
Indicatore Pine Script®
di lohanineeraj
Alerte Croisement EMA9 & SMA12 (Zone remplie)📊 Moving Average 1 Period: 9 → The average is calculated over the last 9 candles (or time periods). Shift: 0 → No shift; the average is aligned with the current data. Method: Exponential → Uses an Exponential Moving Average (EMA), which gives more weight to recent data. Apply to: Close → The average is based on the closing price of each candle. 📊 Moving Average 2 Period: 12 → Calculated over the last 12 periods. Shift: 0 → No shift. Method: Simple → Uses a Simple Moving Average (SMA), which gives equal weight to each period. Apply to: Close → Based on closing prices.
Indicatore Pine Script®
di kelyanani21
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite English Description SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies. Core Components: 1. EMA System (Exponential Moving Averages) 13 customizable EMA lines with periods ranging from 8 to 2584 Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584) Color-coded visualization for easy trend identification Individual toggle controls for each EMA line 2. TFMA (Multi-Timeframe Moving Averages) Cross-timeframe analysis with 3 independent EMA calculations Real-time labels showing trend direction and price relationships Customizable timeframes for each moving average Percentage deviation display from current price 3. PMA (Precision Moving Average Cloud) 7-layer moving average system with customizable periods Fill areas between moving averages for trend visualization Support and resistance zone identification Dynamic color-coded trend clouds 4. VWAP (Volume Weighted Average Price) Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits) Standard deviation bands for volatility analysis Automatic session detection and anchoring Statistical price level identification 5. Advanced Divergence Detector 12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External) Regular and hidden divergences detection Bullish and bearish signals with visual confirmation Customizable sensitivity and filtering options Real-time alerts for divergence formations 6. Volume Profile & Node Analysis Comprehensive volume distribution analysis Point of Control (POC) identification Value Area High/Low (VAH/VAL) calculations Volume peaks and troughs detection Support and resistance levels based on volume 7. Smart Money Concepts Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH) Internal and swing structure detection Equal highs and lows identification Fair Value Gaps (FVG) detection and visualization Liquidity zones and institutional flow analysis 8. Trading Sessions 9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE) Real-time session status and countdown timers Session volume and performance tracking Customizable session boxes and labels Statistical session analysis table Key Features: Modular Design: Enable/disable any component independently Real-time Analysis: Live updates with market data Multi-timeframe Support: Works across all chart timeframes Customizable Alerts: Set alerts for any detected pattern or signal Professional Visualization: Clean, organized display with customizable colors Performance Optimized: Efficient code for smooth chart performance Use Cases: Trend Analysis: Identify market direction using multiple EMA systems Entry/Exit Points: Use divergences and structure breaks for timing Risk Management: Utilize volume profiles and session analysis for better positioning Multi-timeframe Analysis: Confirm signals across different timeframes Institutional Analysis: Track smart money flows and market structure Perfect For: Day traders seeking comprehensive market analysis Swing traders needing multi-timeframe confirmation Professional analysts requiring detailed market structure insights Algorithmic traders looking for systematic signal generation --- 中文描述 SCTI - D14是一个先进的多组件技术分析指标，专为专业交易者和分析师设计。这个综合套件将多种分析工具整合到一个强大的指标中，在各种时间框架和方法论中提供深度市场洞察。 核心组件： 1. EMA系统（指数移动平均线） 13条可定制EMA线，周期从8到2584 基于斐波那契的周期（8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584） 颜色编码可视化，便于趋势识别 每条EMA线的独立切换控制 2. TFMA（多时间框架移动平均线） 跨时间框架分析，包含3个独立的EMA计算 实时标签显示趋势方向和价格关系 每个移动平均线的可定制时间框架 显示与当前价格的百分比偏差 3. PMA（精密移动平均云） 7层移动平均系统，周期可定制 移动平均线间填充区域用于趋势可视化 支撑阻力区域识别 动态颜色编码趋势云 4. VWAP（成交量加权平均价格） 多个锚点（交易时段、周、月、季、年、财报、分红、拆股） 标准差带用于波动性分析 自动时段检测和锚定 统计价格水平识别 5. 高级背离检测器 12个技术指标用于背离分析（MACD、RSI、随机指标、CCI、威廉姆斯%R、Bias、动量、OBV、VW-MACD、CMF、MFI、外部指标） 常规和隐藏背离检测 看涨看跌信号配视觉确认 可定制敏感度和过滤选项 背离形成的实时警报 6. 成交量分布与节点分析 全面的成交量分布分析 控制点（POC）识别 价值区域高/低点（VAH/VAL）计算 成交量峰值和低谷检测 基于成交量的支撑阻力水平 7. 聪明钱概念 市场结构分析，包括结构突破（BOS）和结构转变（CHoCH） 内部和摆动结构检测 等高等低识别 公允价值缺口（FVG）检测和可视化 流动性区域和机构资金流分析 8. 交易时区 9个主要交易时段（亚洲、悉尼、东京、上海、香港、欧洲、伦敦、纽约、纽交所） 实时时段状态和倒计时器 时段成交量和表现跟踪 可定制时段框和标签 统计时段分析表格 主要特性： 模块化设计：可独立启用/禁用任何组件 实时分析：随市场数据实时更新 多时间框架支持：适用于所有图表时间框架 可定制警报：为任何检测到的模式或信号设置警报 专业可视化：清洁、有序的显示界面，颜色可定制 性能优化：高效代码确保图表流畅运行 使用场景： 趋势分析：使用多重EMA系统识别市场方向 入场/出场点：利用背离和结构突破进行时机选择 风险管理：利用成交量分布和时段分析进行更好定位 多时间框架分析：在不同时间框架间确认信号 机构分析：跟踪聪明钱流向和市场结构 适用于： 寻求全面市场分析的日内交易者 需要多时间框架确认的摆动交易者 需要详细市场结构洞察的专业分析师 寻求系统化信号生成的算法交易者
Indicatore Pine Script®
di ND_ND38
2
Foresight Cone (HoltxF1xVWAP) [KedArc Quant]Description: This is a time-series forecasting indicator that estimates the next bar (F1) and projects a path a few bars ahead. It also draws a confidence cone based on how accurate the recent forecasts have been. You can optionally color the projection only when price agrees with VWAP. Why it’s different * One clear model: Everything comes from Holt’s trend-aware forecasting method—no mix of unrelated indicators. * Transparent visuals: You see the next-bar estimate (F1), the forward projection, and a cone that widens or narrows based on recent forecast error. * Context, not signals: The VWAP option only changes colors. It doesn’t add trade rules. * No look-ahead: Accuracy is measured using the forecast made on the previous bar versus the current bar. Inputs (what they mean) * Source: Price series to forecast (default: Close). * Preset: Quick profiles for fast, smooth, or momentum markets (see below). * Alpha (Level): How fast the model reacts to new prices. Higher = faster, twitchier. * Beta (Trend): How fast the model updates the slope. Higher = faster pivots, more flips in chop. * Horizon: How many bars ahead to project. Bigger = wider cone. * Residual Window: How many bars to judge recent accuracy. Bigger = steadier cone. * Confidence Z: How wide the cone should be (typical setting ≈ “95% style” width). * Show Bands / Draw Forward Path: Turn the cone and forward lines on/off. * Color only when aligned with VWAP: Highlights projections only when price agrees with the trend side of VWAP. * Colors / Show Panel: Styling plus a small panel with RMSE, MAPE, and trend slope. Presets (when to pick which) * Scalp / Fast (1-min): Very responsive; best for quick moves. More twitch in chop. * Smooth Intraday (1–5 min): Calmer and steadier; a good default most days. * Momentum / Breakout: Quicker slope tracking during strong pushes; may over-react in ranges. * Custom: Set your own values if you know exactly what you want. What is F1 here? F1 is the model’s next-bar fair value. Crosses of price versus F1 can hint at short-term momentum shifts or mean-reversion, especially when viewed with VWAP or the cone. How this helps * Gives a baseline path of where price may drift and a cone that shows normal wiggle room. * Helps you tell routine noise (inside cone) from information (edges or breaks outside the cone). * Keeps you aware of short-term bias via the trend slope and F1. How to use (step by step) 1. Add to chart → choose a Preset (start with Smooth Intraday). 2. Set Horizon around 8–15 bars for intraday. 3. (Optional) Turn on VWAP alignment to color only when price agrees with the trend side of VWAP. 4. Watch where price sits relative to the cone and F1: * Inside = normal noise. * At edges = stretched. * Outside = possible regime change. 5. Check the panel: if RMSE/MAPE spike, expect a wider cone; consider a smoother preset or a higher timeframe. 6. Tweak Alpha/Beta only if needed: faster for momentum, slower for chop. 7. Combine with your own plan for entries, exits, and risk. Accuracy Panel — what it tells you Preset & Horizon: Shows which preset you’re using and how many bars ahead the projection goes. Longer horizons mean more uncertainty. RMSE (error in price units): A “typical miss” measured in the chart’s currency (e.g., ₹). Lower = tighter fit and a usually narrower cone. Rising = conditions getting noisier; the cone will widen. MAPE (error in %): The same idea as RMSE but in percent. Good for comparing different symbols or timeframes. Sudden spikes often hint at a regime change. Slope T: The model’s short-term trend reading. Positive = gentle up-bias; negative = gentle down-bias; near zero = mostly flat/drifty. How to read it at a glance Calm & directional: RMSE/MAPE steady or falling + Slope T positive (or negative) → trends tend to respect the cone’s mid/upper (or mid/lower) area. Choppy/uncertain: RMSE/MAPE climbing or jumping → expect more whipsaw; rely more on the cone edges and higher-TF context. Flat tape: Slope T near zero → mean-revert behavior is common; treat cone edges as stretch zones rather than breakout zones. Warm-up & tweaks Warm-up: Right after adding the indicator, the panel may be blank for a short time while it gathers enough bars. Too twitchy? Switch to Smooth Intraday or increase the Residual Window. Too slow? Use Scalp/Fast or Momentum/Breakout to react quicker. Timeframe tips * 1–3 min: Scalp/Fast or Momentum/Breakout; horizon \~8–12. * 5–15 min: Smooth Intraday; horizon \~12–15. * 30–60 min+: Consider a larger residual window for a steadier cone. FAQ Q: Is this a strategy or an indicator? A: It’s an indicator only. It does not place orders, TP/SL, or run backtests. Q: Does it repaint? A: The next-bar estimate (F1) and the cone are calculated using only information available at that time. The forward path is a projection drawn on the last bar and will naturally update as new bars arrive. Historical bars aren’t revised with future data. Q: What is F1? A: F1 is the indicator’s best guess for the next bar. Price crossing above/below F1 can hint at short-term momentum shifts or mean-reversion. Q: What do “Alpha” and “Beta” do? A: Alpha controls how fast the indicator reacts to new prices (higher = faster, twitchier). Beta controls how fast the slope updates (higher = quicker pivots, more flips in chop). Q: Why does the cone width change? A: It reflects recent forecast accuracy. When the market gets noisy, the cone widens. When the tape is calm, it narrows. Q: What does the Accuracy Panel tell me? A: * Preset & Horizon you’re using. * RMSE: typical forecast miss in price units. * MAPE: typical forecast miss in percent. * Slope T: short-term trend reading (up, down, or flat). If RMSE/MAPE rise, expect a wider cone and more whipsaw. Q: The panel shows “…” or looks empty. Why? A: It needs a short warm-up to gather enough bars. This is normal after you add the indicator or change settings/timeframes. Q: Which timeframe is best? A: * 1–3 min: Scalp/Fast or Momentum/Breakout, horizon \~8–12. * 5–15 min: Smooth Intraday, horizon \~12–15. Higher timeframes work too; consider a larger residual window for steadier cones. Q: Which preset should I start with? A: Start with Smooth Intraday. If the market is trending hard, try Momentum/Breakout. For very quick tapes, use Scalp/Fast. Switch back if things get choppy. Q: What does the VWAP option do? A: It only changes colors (highlights when price agrees with the trend side of VWAP). It does not add or remove signals. Q: Are there alerts? A: Yes—alerts for price crossing F1 (up/down). Use “Once per bar close” to reduce noise on fast charts. Q: Can I use this on stocks, futures, crypto, or FX? A: Yes. It works on any symbol/timeframe. You may want to adjust Horizon and the Residual Window based on volatility. Q: Can I use it with Heikin Ashi or other non-standard bars? A: You can, but remember you’re forecasting the synthetic series of those bars. For pure price behavior, use regular candles. Q: The cone feels too wide/too narrow. What do I change? A: * Too wide: lower Alpha/Beta a bit or increase the Residual Window. * Too narrow (misses moves): raise Alpha/Beta slightly or try Momentum/Breakout. Q: Why do results change when I switch timeframe or symbol? A: Different noise levels and trends. The accuracy stats reset per chart, so the cone adapts to each context. Q: Any limits or gotchas? A: Extremely large Horizon may hit TradingView’s line-object limits; reduce Horizon or turn off extra visuals if needed. Big gaps or news spikes will widen errors—expect the cone to react. Q: Can this predict exact future prices? A: No. It provides a baseline path and context. Always combine with your own rules and risk management. Glossary * TS (Time Series): Data over time (prices). * Holt’s Method: A forecasting approach that tracks a current level and a trend to predict the next bars. * F1: The indicator’s best guess for the next bar. * F(h): The projected value h bars ahead. * VWAP: Volume-Weighted Average Price—used here for optional color alignment. * RMSE: Typical forecast miss in price units (how far off, on average). * MAPE: Typical forecast miss in percent (scale-free, easy to compare). Notes & limitations * The panel needs a short warm-up; stats may be blank at first. * The cone reflects recent conditions; sudden volatility changes will widen it. * This is a tool for context. It does not place trades and does not promise results. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Indicatore Pine Script®
di kedarcquant
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders What it is BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change. Use it to: • Detect emerging trends sooner without overreacting to noise. • Filter mean-reversion vs continuation opportunities. • Gate entries with a confidence score that reflects both strength and persistence of the move. • Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself. ⸻ Why it’s different • Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade. • Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter. • Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each. • No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references. • Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed. ⸻ What you see on the chart • Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious. • Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise. • Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence. • Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45). • Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics. ⸻ How it works (under the hood) 1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules). 2. Per-bin features (computed every bar): • RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1. • Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift). 3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0. 4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies. 5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA. Why it doesn’t repaint: • No future references, no MTF resampling, fitness updates only on confirmed bars. • All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally. ⸻ Signals & confidence • Bullish bias: consensus ≥ bullThr (e.g., 55). • Bearish bias: consensus ≤ bearThr (e.g., 45). • Confidence (0–100): • Distance score: how far consensus is from 50. • Momentum score: how strong the recent change is versus its recent average. • Combined into a single gate; start filtering entries at ≥60 for higher quality. Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45. ⸻ Inputs you’ll actually tune • Agents & horizons: • N_agents (e.g., 64–128) • lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing) • numBins (e.g., 12–24) • Weights & smoothing: • wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto) • deadBand (0.03–0.08) • consSmooth (3–8) • Thresholds & hygiene: • bullThr/bearThr (55/45 default) • cooldownBars to avoid signal spam ⸻ Playbooks (ready-to-use) 1) Breakout / Trend continuation • Timeframe: 15m–1h for day/swing. • Filter: Take longs only when consensus > 55 and confidence ≥ 60. • Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints. 2) Mean reversion (fade) • When: Sideways days or low-volatility clusters. • Setup: Increase deadBand and consSmooth. • Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50. • Targets: The neutral zone (~50) as the first take-profit. 3) Multi-TF alignment • Keep BioSwarm on 1H for bias, execute on 5–15m: • Only take entries in the direction of the 1H consensus. • Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan). ⸻ Integrations that work • DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree. • ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short). • Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers. ⸻ Quick start 1. Drop the indicator on a 1H chart. 2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45. 3. Trade only when confidence ≥ 60. 4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits. ⸻ Non-repainting & safety notes • No request.security(); no hidden lookahead. • Bar-close confirmation for fitness and signals. • All TA calls are unconditional (no “sometimes called” warnings). • No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin. ⸻ Known limits & tips • Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40. • Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47. • Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96). • Compute load: Large N_agents × numBins is heavier; scale to your device. ⸻ Example recipes EURUSD 1H (swing): lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45 Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level. SPY 15m (US session): lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05 On trend days, stay with longs as long as consensus >55; add on shallow pullbacks. BTC 1H (24/7): Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals. ⸻ Final word BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Indicatore Pine Script®
di ACTradeFIN
Piano Frequency LevelsPiano Frequency Levels This indicator applies the mathematical principles of musical harmony to market analysis, creating support and resistance levels based on authentic piano frequency ratios. Drawing from centuries-old musical theory, it maps the precise mathematical relationships between piano keys to price levels. How It Works: The indicator uses the exact frequency ratios from equal temperament tuning - the same mathematical system that makes pianos sound harmonious. Each level represents an actual piano key frequency, scaled proportionally to your chosen anchor price. Key Features: • Piano-Based Ratios: Uses authentic 12-tone equal temperament frequency relationships (1.05946 ratio between semitones) • Directional Intelligence: Automatically creates ascending levels from lows (resistance) or descending levels from highs (support) • Musical Note Labels: Optional display of actual piano key names (C4, D#5, F6, etc.) alongside price levels • Black Key Subdivisions: Toggle authentic sharp/flat keys between natural notes for additional precision • Octave Color Coding: Each musical octave displays in a different color for easy visual identification • Anchor Reference: Bright green line clearly marks your C-note reference point Musical Foundation: Every level corresponds to an actual piano key. The anchor point represents "C" (the musical root), with levels progressing through the natural musical sequence: C, D, E, F, G, A, B, then repeating in higher octaves. This creates proportional spacing that mirrors the harmonic relationships musicians have used for centuries. Usage: 1. Set your anchor to a significant market high or low 2. Choose your desired number of levels (typically 12-24 for 1-2 octaves) 3. Enable "Add Black Keys" for additional intermediate levels 4. Enable "Show Note Names" to see which piano key each level represents The Theory: Musical harmony is based on precise mathematical ratios that create pleasing relationships between frequencies. These same mathematical principles may manifest in market movements, as price action often exhibits proportional relationships similar to musical intervals. Unique Advantages: • Based on established mathematical principles rather than arbitrary ratios • Provides both major levels (white keys) and intermediate levels (black keys) • Automatically adapts direction based on anchor type (high vs low) • Maintains authentic musical relationships across all timeframes and price ranges Important Note: This indicator presents a theoretical framework for market analysis. Like all technical analysis tools, it should be used in conjunction with other forms of analysis and proper risk management. The musical ratios provide a unique perspective on potential support and resistance levels, but past performance does not guarantee future results. Transform your charts into a musical instrument and discover the hidden harmonies in market movements.
Indicatore Pine Script®
di geneclash
Trend FriendTrend Friend — What it is and how to use it I built Trend Friend to stop redrawing the same trendlines all day. It automatically connects confirmed swing points (fractals) and keeps the most relevant lines in front of you. The goal: give you clean, actionable structure without the guesswork. What it does (in plain English) Finds swing highs/lows using a Fractal Period you choose. Draws auto-trendlines between the two most recent confirmed highs and the two most recent confirmed lows. Colours by intent: Lines drawn from highs (potential resistance / bearish) = Red Lines drawn from lows (potential support / bullish) = Green Keeps the chart tidy: The newest lines are styled as “recent,” older lines are dimmed as “historical,” and it prunes anything beyond your chosen limit. Optional crosses & alerts: You can highlight when price closes across the most recent line and set alerts for new lines formed and upper/lower line crosses. Structure labels: It tags HH, LH, HL, LL at the swing points, so you can quickly read trend/rotation. How it works (under the hood) A “fractal” here is a confirmed pivot: the highest high (or lowest low) with n bars on each side. That means pivots only confirm after n bars, so signals are cleaner and less noisy. When a new pivot prints, the script connects it to the prior pivot of the same type (high→high, low→low). That gives you one “bearish” line from highs and one “bullish” line from lows. The newest line is marked as recent (brighter), and the previous recent line becomes historical (dimmed). You can keep as many pairs as you want, but I usually keep it tight. Inputs you’ll actually use Fractal Period (n): this is the big one. It controls how swingy/strict the pivots are. Lower n → more swings, more lines (faster, noisier) Higher n → fewer swings, cleaner lines (slower, swing-trade friendly) Max pair of lines: how many pairs (up+down) to keep on the chart. 1–3 is a sweet spot. Extend: extend lines Right (my default) or Both ways if you like the context. Line widths & colours: recent vs. historical are separate so you can make the active lines pop. Show crosses: toggle the X markers when price crosses a line. I turn this on when I’m actively hunting breakouts/retests. Reading the chart Red lines (from highs): I treat these as potential resistance. A clean break + hold above a red line often flips me from “fade” to “follow.” Green lines (from lows): Potential support. Same idea in reverse: break + hold below and I stop buying dips until I see structure reclaim. HH / LH / HL / LL dots: quick read on structure. HH/HL bias = uptrend continuation potential LH/LL bias = downtrend continuation potential Mixed prints = rotation/chop—tighten risk or wait for clarity. My H1 guidance (fine-tuning Fractal Period) If you’re mainly on H1 (my use case), tune like this: Fast / aggressive: n = 6–8 (lots of signals, good for momentum days; more chop risk) Balanced (recommended): n = 9–12 (keeps lines meaningful but responsive) Slow / swing focus: n = 13–21 (filters noise; better for trend days and higher-TF confluence) Rule of thumb: if you’re getting too many touches and whipsaws, increase n. If you’re late to obvious breaks, decrease n. How I trade it (example workflow) Pick your n for the session (H1: start at 9–12). Mark the recent red & green lines. That’s your immediate structure. Look for interaction: Rejections from a line = fade potential back into the range. Break + close across a line = watch the retest for continuation. Confirm with context: session bias, HTF structure, and your own tools (VWAP, RSI, volume, FVG/OB, etc.). Plan the trade: enter on retest or reclaim, stop beyond the line/last swing, target the opposite side or next structure. Alerts (set and forget) “New trendline formed” — fires when a new high/low pivot confirms and a fresh line is drawn. “Upper/lower trendline crossed” — fires when price crosses the most recent red/green line. Use these to track structure shifts without staring at the screen. Good to know (honest limitations) Confirmation lag: pivots need n bars on both sides, so signals arrive after the swing confirms. That’s by design—less noise, fewer fake lines. Lines update as structure evolves: when a new pivot forms, the previous “recent” line becomes “historical,” and older ones can be removed based on your max setting. Not an auto trendline crystal ball: it won’t predict which line holds or breaks—it just keeps the most relevant structure clean and up to date. Final notes Works on any timeframe; I built it with H1 in mind and scale to H4/D1 by increasing n. Pairs nicely with session tools and VWAP for intraday, or with supply/demand / FVGs for swing planning. Risk first: lines are structure, not guarantees. Manage position size and stops as usual. Not financial advice. Trade your plan. Stay nimble.
Indicatore Pine Script®
di OakleyJM
1
RSI Crossover AlertRSI Crossover Alert Indicator - User Guide The RSI Crossover Alert Indicator is a comprehensive technical analysis tool that detects multiple types of RSI crossovers and generates real-time alerts. It combines traditional RSI analysis with signal lines, divergence detection, and multi-level crossing alerts. 1. Multiple Crossover Detection - RSI/Signal Line Cross: Signals a primary trend change. - RSI/Second Signal Cross: Confirmation signals for stronger trends. - Level Crossings: Crosses of Overbought 70, Oversold 30, and Midline 50. - Divergence Detection: Hidden and regular divergences for reversal signals. 2. Alert Types - Alert: RSI > Signal Description: Bullish momentum is building. Signal: Consider long positions. - Alert: RSI < Signal Description: Bearish momentum is building. Signal: Consider short positions. - Alert: RSI > 70 Description: Entering the overbought zone. Signal: Prepare for a potential reversal. - Alert: RSI < 30 Description: Entering the oversold zone. Signal: Watch for a bounce opportunity. - Alert: RSI crosses 50 Description: A shift in momentum. Signal: Trend confirmation. 3. Visual Components - Lines: RSI blue, Signal orange, Second Signal purple - Histogram: Visualizes momentum by showing the difference between RSI and the Signal line. - Background Zones: Red overbought, Green oversold - Markers: Up/down triangles to indicate crossovers. - Info Table: Real-time RSI values and status. Strategy 1: Classic Crossover - Entry Long: RSI crosses above the Signal Line AND RSI is below 50. - Entry Short: RSI crosses below the Signal Line AND RSI is above 50. - Take Profit: On the opposite signal. - Stop Loss: At the recent swing high/low. Strategy 2: Extreme Zone Reversal - Entry Long: RSI is below 30 and crosses above the Signal Line. - Entry Short: RSI is above 70 and crosses below the Signal Line. - Risk Management: Higher win rate but fewer signals. Use a minimum 2:1 risk-reward ratio. Strategy 3: Divergence Trading - Setup: Enable divergence alerts and look for price/RSI divergence. Wait for an RSI crossover for confirmation. - Entry: Enter on the crossover after the divergence appears. Place the stop loss beyond the starting point of the divergence. Strategy 4: Multi-Timeframe Confirmation 1. Check the higher timeframe e.g. Daily to identify the main trend. 2. Use the current timeframe e.g. 4H/1H for your entry. 3. Only enter in the direction of the main trend. 4. Use the RSI crossover as the entry trigger. Optimal Settings by Market - Forex Major Pairs RSI Length: 14, Signal Length: 9, Overbought/Oversold: 70/30 - Crypto High Volatility RSI Length: 10-12, Signal Length: 6-8, Overbought/Oversold: 75/25 - Stocks Trending RSI Length: 14-21, Signal Length: 9-12, Overbought/Oversold: 70/30 - Commodities RSI Length: 14, Signal Length: 9, Overbought/Oversold: 80/20 Risk Management Rules 1. Position Sizing: Never risk more than 1-2% on a single trade. Reduce size in ranging markets. 2. Stop Loss Placement: Place stops beyond the recent swing high/low for crossovers. Using an ATR-based stop is also effective. 3. Profit Taking: Take partial profits at a 1:1 risk-reward ratio. Switch to a trailing stop after reaching 2:1. 1. Filtering Signals - Combine with volume indicators. - Confirm the trend on a higher timeframe. - Wait for candlestick pattern confirmation. 2. Avoid Common Mistakes - Don't trade every single crossover. - Avoid taking signals against a strong trend. - Do not ignore risk management. 3. Market Conditions - Trending Market: Focus on midline 50 crosses. - Ranging Market: Look for reversals from overbought/oversold levels. - Volatile Market: Widen the overbought/oversold levels. - If you get too many false signals: Increase the signal line period, add other confirmation indicators, or use a higher timeframe. - If you are missing major moves: Decrease the RSI length, shorten the signal line period, or check your alert settings. Recommended Combinations 1. RSI + MACD: For dual momentum confirmation. 2. RSI + Bollinger Bands: For volatility-adjusted signals. 3. RSI + Volume: To confirm the strength of a signal. 4. RSI + Moving Averages: To use as a trend filter. This indicator provides a comprehensive RSI analysis. Success depends on proper configuration, risk management, and combining signals with the overall market context. Start with the default settings, then optimize based on your trading style and market conditions.
Indicatore Pine Script®
di Hunk77
Live Market - Performance MonitorLive Market — Performance Monitor Study material (no code) — step-by-step training guide for learners ________________________________________ 1) What this tool is — short overview This indicator is a live market performance monitor designed for learning. It scans price, volume and volatility, detects order blocks and trendline events, applies filters (volume & ATR), generates trade signals (BUY/SELL), creates simple TP/SL trade management, and renders a compact dashboard summarizing market state, risk and performance metrics. Use it to learn how multi-factor signals are constructed, how Greeks-style sensitivity is replaced by volatility/ATR reasoning, and how a live dashboard helps monitor trade quality. ________________________________________ 2) Quick start — how a learner uses it (step-by-step) 1. Add the indicator to a chart (any ticker / timeframe). 2. Open inputs and review the main groups: Order Block, Trendline, Signal Filters, Display. 3. Start with defaults (OB periods ≈ 7, ATR multiplier 0.5, volume threshold 1.2) and observe the dashboard on the last bar. 4. Walk the chart back in time (use the last-bar update behavior) and watch how signals, order blocks, trendlines, and the performance counters change. 5. Run the hands-on labs below to build intuition. ________________________________________ 3) Main configurable inputs (what you can tweak) • Order Block Relevant Periods (default ~7): number of consecutive candles used to define an order block. • Min. Percent Move for Valid OB (threshold): minimum percent move required for a valid order block. • Number of OB Channels: how many past order block lines to keep visible. • Trendline Period (tl_period): pivot lookback for detecting highs/lows used to draw trendlines. • Use Wicks for Trendlines: whether pivot uses wicks or body. • Extension Bars: how far trendlines are projected forward. • Use Volume Filter + Volume Threshold Multiplier (e.g., 1.2): requires volume to be greater than multiplier × average volume. • Use ATR Filter + ATR Multiplier: require bar range > ATR × multiplier to filter noise. • Show Targets / Table settings / Colors for visualization. ________________________________________ 4) Core building blocks — what the script computes (plain language) Price & trend: • Spot / LTP: current close price. • EMA 9 / 21 / 50: fast, medium, slow moving averages to define short/medium trend. o trend_bullish: EMA9 > EMA21 > EMA50 o trend_bearish: EMA9 < EMA21 < EMA50 o trend_neutral: otherwise Volatility & noise: • ATR (14): average true range used for dynamic target and filter sizing. • dynamic_zone = ATR × atr_multiplier: minimum bar range required for meaningful move. • Annualized volatility: stdev of price changes × sqrt(252) × 100 — used to classify volatility (HIGH/MEDIUM/LOW). Momentum & oscillators: • RSI 14: overbought/oversold indicator (thresholds 70/30). • MACD: EMA(12)-EMA(26) and a 9-period signal line; histogram used for momentum direction and strength. • Momentum (ta.mom 10): raw momentum over 10 bars. Mean reversion / band context: • Bollinger Bands (20, 2σ): upper, mid, lower. o price_position measures where price sits inside the band range as 0–100. Volume metrics: • avg_volume = SMA(volume, 20) and volume_spike = volume > avg_volume × volume_threshold o volume_ratio = volume / avg_volume Support & Resistance: • support_level = lowest low over 20 bars • resistance_level = highest high over 20 bars • current_position = percent of price between support & resistance (0–100) ________________________________________ 5) Order Block detection — concept & logic What it tries to find: a bar (the base) followed by N candles in the opposite direction (a classical order block setup), with a minimum % move to qualify. The script records the high/low of the base candle, averages them, and plots those levels as OB channels. How learners should think about it (conceptual): 1. An order block is a signature area where institutions (theory) left liquidity — often seen as a large bar followed by a sequence of directional candles. 2. This indicator uses a configurable number of subsequent candles to confirm that the pattern exists. 3. When found, it stores and displays the base candle’s high/low area so students can see how price later reacts to those zones. Implementation note for learners: the tool keeps a limited history of OB lines (ob_channels). When new OBs exceed the count, the oldest lines are removed — good practice to avoid clutter. ________________________________________ 6) Trendline detection — idea & interpretation • The script finds pivot highs and lows using a symmetric lookback (tl_period and half that as right/left). • It then computes a trendline slope from successive pivots and projects the line forward (extension_bars). • Break detection: Resistance break = close crosses above the projected resistance line; Support break = close crosses below projected support. Learning tip: trendlines here are computed from pivot points and time. Watch how changing tl_period (bigger = smoother, fewer pivots) alters the trendlines and break signals. ________________________________________ 7) Signal generation & filters — step-by-step 1. Primary triggers: o Bullish trigger: order block bullish OR resistance trendline break. o Bearish trigger: bearish order block OR support trendline break. 2. Filters applied (both must pass unless disabled): o Volume filter: volume must be > avg_volume × volume_threshold. o ATR filter: bar range (high-low) must exceed ATR × atr_multiplier. o Not in an existing trade: new trades only start if trade_active is false. 3. Trend confirmation: o The primary trigger is only confirmed if trend is bullish/neutral for buys or bearish/neutral for sells (EMA alignment). 4. Result: o When confirmed, a long or short trade is activated with TP/SL calculated from ATR multiples. ________________________________________ 8) Trade management — what the tool does after a signal • Entry management: the script marks a trade as trade_active and sets long_trade or short_trade flags. • TP & SL rules: o Long: TP = high + 2×ATR ; SL = low − 1×ATR o Short: TP = low − 2×ATR ; SL = high + 1×ATR • Monitoring & exit: o A trade closes when price reaches TP or SL. o When TP/SL hit, the indicator updates win_count and total_pnl using a very simple calculation (difference between TP/SL and previous close). o Visual lines/labels are drawn for TP and updated as the trade runs. Important learner notes: • The script does not store a true entry price (it uses close in its P&L math), so PnL is an approximation — treat this as a learning proxy, not a position accounting system. • There’s no sizing, slippage, or fee accounted — students must manually factor these when translating to real trades. • This indicator is not a backtesting strategy; strategy.* functions would be needed for rigorous backtest results. ________________________________________ 9) Signal strength & helper utilities • Signal strength is a composite score (0–100) made up of four signals worth 25 points each: 1. RSI extreme (overbought/oversold) → 25 2. Volume spike → 25 3. MACD histogram magnitude increasing → 25 4. Trend existence (bull or bear) → 25 • Progress bars (text glyphs) are used to visually show RSI and signal strength on the table. Learning point: composite scoring is a way to combine orthogonal signals — study how changing weights changes outcomes. ________________________________________ 10) Dashboard — how to read each section (walkthrough) The dashboard is split into sections; here's how to interpret them: 1. Market Overview o LTP / Change%: immediate price & daily % change. 2. RSI & MACD o RSI value plus progress bar (overbought 70 / oversold 30). o MACD histogram sign indicates bullish/bearish momentum. 3. Volume Analysis o Volume ratio (current / average) and whether there’s a spike. 4. Order Block Status o Buy OB / Sell OB: the average base price of detected order blocks or “No Signal.” 5. Signal Status o 🔼 BUY or 🔽 SELL if confirmed, or ⚪ WAIT. o No-trade vs Active indicator summarizing market readiness. 6. Trend Analysis o Trend direction (from EMAs), market sentiment score (composite), volatility level and band/position metrics. 7. Performance o Win Rate = wins / signals (percentage) o Total PnL = cumulative PnL (approximate) o Bull / Bear Volume = accumulated volumes attributable to signals 8. Support & Resistance o 20-bar highest/lowest — use as nearby reference points. 9. Risk & R:R o Risk Level from ATR/price as a percent. o R:R Ratio computed from TP/SL if a trade is active. 10. Signal Strength & Active Trade Status • Numeric strength + progress bar and whether a trade is currently active with TP/SL display. ________________________________________ 11) Alerts — what will notify you The indicator includes pre-built alert triggers for: • Bullish confirmed signal • Bearish confirmed signal • TP hit (long/short) • SL hit (long/short) • No-trade zone • High signal strength (score > 75%) Training use: enable alerts during a replay session to be notified when the indicator would have signalled. ________________________________________ 12) Labs — hands-on exercises for learners (step-by-step) Lab A — Order Block recognition 1. Pick a 15–30 minute timeframe on a liquid ticker. 2. Use default OB periods (7). Mark each time the dashboard shows a Buy/Sell OB. 3. Manually inspect the chart at the base candle and the following sequence — draw the OB zone by hand and watch later price reactions to it. 4. Repeat with OB periods 5 and 10; note stability vs noise. Lab B — Trendline break confirmation 1. Increase trendline period (e.g., 20), watch trendlines form from pivots. 2. When a resistance break is flagged, compare with MACD & volume: was momentum aligned? 3. Note false breaks vs confirmed moves — change extension_bars to see projection effects. Lab C — Filter sensitivity 1. Toggle Use Volume Filter off, and record the number and quality of signals in a 2-day window. 2. Re-enable volume filter and change threshold from 1.2 → 1.6; note how many low-quality signals are filtered out. Lab D — Trade management simulation 1. For each signalled trade, record the time, close entry approximation, TP, SL, and eventual hit/miss. 2. Compute actual PnL if you had entered at the open of the next bar to compare with the script’s PnL math. 3. Tabulate win rate and average R:R. Lab E — Performance review & improvement 1. Build a spreadsheet of signals over 30–90 periods with columns: Date, Signal type, Entry price (real), TP, SL, Exit, PnL, Notes. 2. Analyze which filters or indicators contributed most to winners vs losers and adjust weights. ________________________________________ 13) Common pitfalls, assumptions & implementation notes (things to watch) • P&L simplification: total_pnl uses close as a proxy entry price. Real entry/exit prices and slippage are not recorded — so PnL is approximate. • No position sizing or money management: the script doesn’t compute position size from equity or risk percent. • Signal confirmation logic: composite "signal_strength" is a simple 4×25 point scheme — explore different weights or additional signals. • Order block detection nuance: the script defines the base candle and checks the subsequent sequence. Be sure to verify whether the intended candle direction (base being bullish vs bearish) aligns with academic/your trading definition — read the code carefully and test. • Trendline slope over time: slope is computed using timestamps; small differences may make lines sensitive on very short timeframes — using bar_index differences is usually more stable. • Not a true backtester: to evaluate performance statistically you must transform the logic into a strategy script that places hypothetical orders and records exact entry/exit prices. ________________________________________ 14) Suggested improvements for advanced learners • Record true entry price & timestamp for accurate PnL. • Add position sizing: risk % per trade using SL distance and account size. • Convert to strategy. (Pine Strategy)* to run formal backtests with equity curves, drawdowns, and metrics (Sharpe, Sortino). • Log trades to an external spreadsheet (via alerts + webhook) for offline analysis. • Add statistics: average win/loss, expectancy, max drawdown. • Add additional filters: news time blackout, market session filters, multi-timeframe confirmation. • Improve OB detection: combine wick/body, volume spike at base bar, and liquidity sweep detection. ________________________________________ 15) Glossary — quick definitions • ATR (Average True Range): measure of typical range; used to size targets and stops. • EMA (Exponential Moving Average): trend smoothing giving more weight to recent prices. • RSI (Relative Strength Index): momentum oscillator; >70 overbought, <30 oversold. • MACD: momentum oscillator using difference of two EMAs. • Bollinger Bands: volatility bands around SMA. • Order Block: a base candle area with subsequent confirmation candles; a zone of institutional interest (learning model). • Pivot High/Low: local turning point defined by candles on both sides. • Signal Strength: combined score from multiple indicators. • Win Rate: proportion of signals that hit TP vs total signals. • R:R (Risk:Reward): ratio of potential reward (TP distance) to risk (entry to SL). ________________________________________ 16) Limitations & assumptions (be explicit) • This is an indicator for learning — not a trading robot or broker connection. • No slippage, fees, commissions or tie-in to real orders are considered. • The logic is heuristic (rule-of-thumb), not a guarantee of performance. • Results are sensitive to timeframe, market liquidity, and parameter choices. ________________________________________ 17) Practical classroom / study plan (4 sessions) • Session 1 — Foundations: Understand EMAs, ATR, RSI, MACD, Bollinger Bands. Run the indicator and watch how these numbers change on a single day. • Session 2 — Zones & Filters: Study order blocks and trendlines. Test volume & ATR filters and note changes in false signals. • Session 3 — Simulated trading: Manually track 20 signals, compute real PnL and compare to the dashboard. • Session 4 — Improvement plan: Propose changes (e.g., better PnL accounting, alternative OB rule) and test their impact. ________________________________________ 18) Quick reference checklist for each signal 1. Was an order block or trendline break detected? (primary trigger) 2. Did volume meet threshold? (filter) 3. Did ATR filter (bar size) show a real move? (filter) 4. Was trend aligned (EMA 9/21/50)? (confirmation) 5. Signal confirmed → mark entry approximation, TP, SL. 6. Monitor dashboard (Signal Strength, Volatility, No-trade zone, R:R). 7. After exit, log real entry/exit, compute actual PnL, update spreadsheet. ________________________________________ 19) Educational caveat & final note This tool is built for training and analysis: it helps you see how common technical building blocks combine into trade ideas, but it is not a trading recommendation. Use it to develop judgment, to test hypotheses, and to design robust systems with proper backtesting and risk control before risking capital. ________________________________________ 20) Disclaimer (must include) Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full backtesting and risk management, and consider seeking advice from a qualified financial professional before trading with real capital. ________________________________________
Indicatore Pine Script®
di aiTrendview-Charting-System
Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
Indicatore Pine Script®
di BullByte
6
Rolling Correlation BTC vs Hedge AssetsRolling Correlation BTC vs Hedge Assets Overview This indicator calculates and plots the rolling correlation between Bitcoin (BTC) returns and several key hedge assets: • XAUUSD (Gold) • EURUSD (proxy for DXY, U.S. Dollar Index) • VIX (Volatility Index) • TLT (20y U.S. Treasury Bonds ETF) By monitoring these dynamic correlations, traders can identify whether BTC is moving in sync with risk assets or decoupling as a hedge, and adjust their trading strategy accordingly. How it works 1. Computes returns for BTC and each asset using percentage change. 2. Uses the rolling correlation function (ta.correlation) over a configurable window length (default = 12 bars). 3. Plots each correlation as a separate colored line (Gold = Yellow, EURUSD = Blue, VIX = Red, TLT = Green). 4. Adds threshold levels at +0.3 and -0.3 to help classify correlation regimes. How to use it • High positive correlation (> +0.3): BTC is moving together with the asset (risk-on behavior). • Near zero (-0.3 to +0.3): BTC is showing little to no correlation — neutral/independent moves. • Negative correlation (< -0.3): BTC is moving in the opposite direction — potential hedge opportunity. Practical strategies: • Watch BTC vs VIX: a spike in volatility (VIX ↑) usually coincides with BTC selling pressure. • Track BTC vs EURUSD: stronger USD often puts downside pressure on BTC. • Observe BTC vs Gold: during “flight to safety” events, gold rises while BTC weakens. • Monitor BTC vs TLT: rising yields (falling TLT) often align with BTC weakness. Inputs • Window Length (bars): Number of bars used to calculate rolling correlations (default = 12). • Comparison Timeframe: Default = 5m. Can be changed to align with your intraday or swing trading style. Notes • Works best on intraday charts (1m, 5m, 15m) for scalping and short-term setups. • Use correlations as context, not standalone signals — combine with volume, VWAP, and price action. • Correlations are dynamic; they can switch regimes quickly during macro events (CPI, NFP, FOMC). This tool is designed for traders who want to manage risk exposure by monitoring whether BTC is behaving as a risk-on asset or hedge, and to exploit opportunities during decoupling phases.
Indicatore Pine Script®
di leobuezo
Average True Ranges with IBD RSAdvanced ATR Analysis with IBD Relative Strength This comprehensive indicator combines Average True Range (ATR) analysis with IBD (Investor's Business Daily) Relative Strength calculation, providing both volatility measurement and momentum analysis in one powerful tool. Key Features: ATR Analysis: Standard ATR: Customizable period (default 14) with multiple smoothing options 1.5x ATR: Extended range for wider stop-loss and target calculations Smoothing Options: Choose between RMA, SMA, EMA, or WMA for ATR calculation Customizable Colors: Distinct colors for easy visual identification IBD Relative Strength: Professional RS Formula: Uses the same calculation method as Investor's Business Daily Multi-Timeframe Analysis: Compares current price to 3, 6, 9, and 12-month performance Weighted Calculation: 40% weight on 3-month, 20% each on 6, 9, and 12-month performance Zero-Based Scale: Values above 0 indicate outperformance, below 0 indicate underperformance Trading Applications: Volatility-Based Stops: Use ATR and 1.5x ATR for dynamic stop-loss placement Position Sizing: ATR helps determine appropriate position size based on volatility Relative Strength Analysis: IBD RS identifies stocks with superior momentum Market Timing: High RS values often precede strong price moves Risk Management: Combine volatility (ATR) with momentum (RS) for comprehensive analysis Technical Details: ATR Calculation: True Range smoothed over selected period with chosen method IBD RS Formula: (40% × 3M) + (20% × 6M) + (20% × 9M) + (20% × 12M) - 100 Display: Separate pane indicator with customizable colors for each component How to Interpret: High ATR: Increased volatility, wider stops needed Low ATR: Reduced volatility, tighter stops possible Positive IBD RS: Stock outperforming market over measured periods Negative IBD RS: Stock underperforming market over measured periods Customizable Parameters: ATR calculation length Smoothing method for ATR Individual colors for ATR, 1.5x ATR, and IBD RS lines Perfect for swing traders and position traders who want to combine volatility analysis with relative strength momentum in their decision-making process. Particularly useful for stock selection and risk management.
Indicatore Pine Script®
di vssebuyungo
Market Outlook Score (MOS)Overview The "Market Outlook Score (MOS)" is a custom technical indicator designed for TradingView, written in Pine Script version 6. It provides a quantitative assessment of market conditions by aggregating multiple factors, including trend strength across different timeframes, directional movement (via ADX), momentum (via RSI changes), volume dynamics, and volatility stability (via ATR). The MOS is calculated as a weighted score that ranges typically between -1 and +1 (though it can exceed these bounds in extreme conditions), where positive values suggest bullish (long) opportunities, negative values indicate bearish (short) setups, and values near zero imply neutral or indecisive markets. This indicator is particularly useful for traders seeking a holistic "outlook" score to gauge potential entry points or market bias. It overlays on a separate pane (non-overlay mode) and visualizes the score through horizontal threshold lines and dynamic labels showing the numeric MOS value along with a simple trading decision ("Long", "Short", or "Neutral"). The script avoids using the plot function for compatibility reasons (e.g., potential TradingView bugs) and instead relies on hline for static lines and label.new for per-bar annotations. Key features: Multi-Timeframe Analysis: Incorporates slope data from 5-minute, 15-minute, and 30-minute charts to capture short-term trends. Trend and Strength Integration: Uses ADX to weight trend bias, ensuring stronger signals in trending markets. Momentum and Volume: Includes RSI momentum impulses and volume deviations for added confirmation. Volatility Adjustment: Factors in ATR changes to assess market stability. Customizable Inputs: Allows users to tweak periods for lookback, ADX, and ATR. Decision Labels: Automatically classifies the MOS into actionable categories with visual labels. This indicator is best suited for intraday or swing trading on volatile assets like stocks, forex, or cryptocurrencies. It does not generate buy/sell signals directly but can be combined with other tools (e.g., moving averages or oscillators) for comprehensive strategies. Inputs The script provides three user-configurable inputs via TradingView's input panel: Lookback Period (lookback): Type: Integer Default: 20 Range: Minimum 10, Maximum 50 Purpose: Defines the number of bars used in slope calculations for trend analysis. A shorter lookback makes the indicator more sensitive to recent price action, while a longer one smooths out noise for longer-term trends. ADX Period (adxPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Sets the smoothing period for the Average Directional Index (ADX) and its components (DI+ and DI-). Standard value is 14, but shorter periods increase responsiveness, and longer ones reduce false signals. ATR Period (atrPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Determines the period for the Average True Range (ATR) calculation, which measures volatility. Adjust this to match your trading timeframe—shorter for scalping, longer for positional trading. These inputs allow customization without editing the code, making the indicator adaptable to different market conditions or user preferences. Core Calculations The MOS is computed through a series of steps, blending trend, momentum, volume, and volatility metrics. Here's a breakdown: Multi-Timeframe Slopes: The script fetches data from higher timeframes (5m, 15m, 30m) using request.security. Slope calculation: For each timeframe, it computes the linear regression slope of price over the lookback period using the formula: textslope = correlation(close, bar_index, lookback) * stdev(close, lookback) / stdev(bar_index, lookback) This measures the rate of price change, where positive slopes indicate uptrends and negative slopes indicate downtrends. Variables: slope5m, slope15m, slope30m. ATR (Average True Range): Calculated using ta.atr(atrPeriod). Represents average volatility over the specified period. Used later to derive volatility stability. ADX (Average Directional Index): A detailed, manual implementation (not using built-in ta.adx for customization): Computes upward movement (upMove = high - high ) and downward movement (downMove = low - low). Derives +DM (Plus Directional Movement) and -DM (Minus Directional Movement) by filtering non-relevant moves. Smooths true range (trur = ta.rma(ta.tr(true), adxPeriod)). Calculates +DI and -DI: plusDI = 100 * ta.rma(plusDM, adxPeriod) / trur, similarly for minusDI. DX: dx = 100 * abs(plusDI - minusDI) / max(plusDI + minusDI, 0.0001). ADX: adx = ta.rma(dx, adxPeriod). ADX values above 25 typically indicate strong trends; here, it's normalized (divided by 50) to influence the trend bias. Volume Delta (5m Timeframe): Fetches 5m volume: volume_5m = request.security(syminfo.tickerid, "5", volume, lookahead=barmerge.lookahead_on). Computes a 12-period SMA of volume: avgVolume = ta.sma(volume_5m, 12). Delta: (volume_5m - avgVolume) / avgVolume (or 0 if avgVolume is zero). This measures relative volume spikes, where positive deltas suggest increased interest (bullish) and negative suggest waning activity (bearish). MOS Components and Final Calculation: Trend Bias: Average of the three slopes, normalized by close price and scaled by 100, then weighted by ADX influence: (slope5m + slope15m + slope30m) / 3 / close * 100 * (adx / 50). Emphasizes trends in strong ADX conditions. Momentum Impulse: Change in 5m RSI(14) over 1 bar, divided by 50: ta.change(request.security(syminfo.tickerid, "5", ta.rsi(close, 14), lookahead=barmerge.lookahead_on), 1) / 50. Captures short-term momentum shifts. Volatility Clarity: 1 - ta.change(atr, 1) / max(atr, 0.0001). Measures ATR stability; values near 1 indicate low volatility changes (clearer trends), while lower values suggest erratic markets. MOS Formula: Weighted average: textmos = (0.35 * trendBias + 0.25 * momentumImpulse + 0.2 * volumeDelta + 0.2 * volatilityClarity) Weights prioritize trend (35%) and momentum (25%), with volume and volatility at 20% each. These can be adjusted in code for experimentation. Trading Decision: A variable mosDecision starts as "Neutral". If mos > 0.15, set to "Long". If mos < -0.15, set to "Short". Thresholds (0.15 and -0.15) are hardcoded but can be modified. Visualization and Outputs Threshold Lines (using hline): Long Threshold: Horizontal dashed green line at +0.15. Short Threshold: Horizontal dashed red line at -0.15. Neutral Line: Horizontal dashed gray line at 0. These provide visual reference points for MOS interpretation. Dynamic Labels (using label.new): Placed at each bar's index and MOS value. Text: Formatted MOS value (e.g., "0.2345") followed by a newline and the decision (e.g., "Long"). Style: Downward-pointing label with gray background and white text for readability. This replaces a traditional plot line, showing exact values and decisions per bar without cluttering the chart. The indicator appears in a separate pane below the main price chart, making it easy to monitor alongside price action. Usage Instructions Adding to TradingView: Copy the script into TradingView's Pine Script editor. Save and add to your chart via the "Indicators" menu. Select a symbol and timeframe (e.g., 1-minute for intraday). Interpretation: Long Signal: MOS > 0.15 – Consider bullish positions if supported by other indicators. Short Signal: MOS < -0.15 – Potential bearish setups. Neutral: Between -0.15 and 0.15 – Avoid trades or wait for confirmation. Watch for MOS crossings of thresholds for momentum shifts. Combine with price patterns, support/resistance, or volume for better accuracy. Limitations and Considerations: Lookahead Bias: Uses barmerge.lookahead_on for multi-timeframe data, which may introduce minor forward-looking bias in backtesting (use with caution). No Alerts Built-In: Add custom alerts via TradingView's alert system based on MOS conditions. Performance: Tested for compatibility; may require adjustments for illiquid assets or extreme volatility. Backtesting: Use TradingView's strategy tester to evaluate historical performance, but remember past results don't guarantee future outcomes. Customization: Edit weights in the MOS formula or thresholds to fit your strategy. This indicator distills complex market data into a single score, aiding decision-making while encouraging users to verify signals with additional analysis. If you need modifications, such as restoring plot functionality or adding features, provide details for further refinement.
Indicatore Pine Script®
di gautamsubaash
VWAP For Loop [BackQuant]VWAP For Loop What this tool does—in one sentence A volume-weighted trend gauge that anchors VWAP to a calendar period (day/week/month/quarter/year) and then scores the persistence of that VWAP trend with a simple for-loop “breadth” count; the result is a clean, threshold-driven oscillator plus an optional VWAP overlay and alerts. Plain-English overview Instead of judging raw price alone, this indicator focuses on anchored VWAP —the market’s average price paid during your chosen institutional period. It then asks a simple question across a configurable set of lookback steps: “Is the current anchored VWAP higher than it was i bars ago—or lower?” Each “yes” adds +1, each “no” adds −1. Summing those answers creates a score that reflects how consistently the volume-weighted trend has been rising or falling. Extreme positive scores imply persistent, broad strength; deeply negative scores imply persistent weakness. Crossing predefined thresholds produces objective long/short events and color-coded context. Under the hood • Anchoring — VWAP using hlc3 × volume resets exactly when the selected period rolls:   Day → session change, Week → new week, Month → new month, Quarter/Year → calendar quarter/year. • For-loop scoring — For lag steps i = , compare today’s VWAP to VWAP .   – If VWAP > VWAP , add +1.   – Else, add −1.   The final score ∈ , where N = (end − start + 1). With defaults (1→45), N = 45. • Signal logic (stateful)   – Long when score > upper (e.g., > 40 with N = 45 → VWAP higher than ~89% of checked lags).   – Short on crossunder of lower (e.g., dropping below −10).   – A compact state variable ( out ) holds the current regime: +1 (long), −1 (short), otherwise unchanged. This “stickiness” avoids constant flipping between bars without sufficient evidence. Why VWAP + a breadth score? • VWAP aggregates both price and volume—where participants actually traded. • The breadth-style count rewards consistency of the anchored trend, not one-off spikes. • Thresholds give you binary structure when you need it (alerts, automation), without complex math. What you’ll see on the chart • Sub-pane oscillator — The for-loop score line, colored by regime (long/short/neutral). • Main-pane VWAP (optional) — Even though the indicator runs off-chart, the anchored VWAP can be overlaid on price (toggle visibility and whether it inherits trend colors). • Threshold guides — Horizontal lines for the long/short bands (toggle). • Cosmetics — Optional candle painting and background shading by regime; adjustable line width and colors. Input map (quick reference) • VWAP Anchor Period — Day, Week, Month, Quarter, Year. • Calculation Start/End — The for-loop lag window . With 1→45, you evaluate 45 comparisons. • Long/Short Thresholds — Default upper=40, lower=−10 (asymmetric by design; see below). • UI/Style — Show thresholds, paint candles, background color, line width, VWAP visibility and coloring, custom long/short colors. Interpreting the score • Near +N — Current anchored VWAP is above most historical VWAP checkpoints in the window → entrenched strength. • Near −N — Current anchored VWAP is below most checkpoints → entrenched weakness. • Between — Mixed, choppy, or transitioning regimes; use thresholds to avoid reacting to noise. Why the asymmetric default thresholds? • Long = score > upper (40) — Demands unusually broad upside persistence before declaring “long regime.” • Short = crossunder lower (−10) — Triggers only on downward momentum events (a fresh breach), not merely being below −10. This combination tends to:   – Capture sustained uptrends only when they’re very strong.   – Flag downside turns as they occur, rather than waiting for an extreme negative breadth. Tuning guide Choose an anchor that matches your horizon   – Intraday scalps : Day anchor on intraday charts.   – Swing/position : Month or Quarter anchor on 1h/4h/D charts to capture institutional cycles. Pick the for-loop window   – Larger N (bigger end) = stronger evidence requirement, smoother oscillator.   – Smaller N = faster, more reactive score. Set achievable thresholds   – Ensure upper ≤ N and lower ≥ −N ; if N=30, an upper of 40 can never trigger.   – Symmetric setups (e.g., +20/−20) are fine if you want balanced behavior. Match visuals to intent   – Enabling VWAP coloring lets you see regime directly on price.   – Background shading is useful for discretionary reading; turn it off for cleaner automation displays. Playbook examples • Trend confirmation with disciplined entries — On Month anchor, N=45, upper=38–42: when the long regime engages, use pullbacks toward anchored VWAP on the main pane for entries, with stops just beyond VWAP or a recent swing. • Downside transition detection — Keep lower around −8…−12 and watch for crossunders; combine with price losing anchored VWAP to validate risk-off. • Intraday bias filter — Day anchor on a 5–15m chart, N=20–30, upper ~ 16–20, lower ~ −6…−10. Only take longs while score is positive and above a midline you define (e.g., 0), and shorts only after a genuine crossunder. Behavior around resets (important) Anchored VWAP is hard-reset each period. Immediately after a reset, the series can be young and comparisons to pre-reset values may span two periods. If you prefer within-period evaluation only, choose end small enough not to bridge typical period length on your timeframe, or accept that the breadth test intentionally spans regimes. Alerts included • VWAP FL Long — Fires when the long condition is true (score > upper and not in short). • VWAP FL Short — Fires on crossunder of the lower threshold (event-driven). Messages include {{ticker}} and {{interval}} placeholders for routing. Strengths • Simple, transparent math — Easy to reason about and validate. • Volume-aware by construction — Decisions reference VWAP, not just price. • Robust to single-bar noise — Needs many lags to agree before flipping state (by design, via thresholds and the stateful output). Limitations & cautions • Threshold feasibility — If N < upper or |lower| > N, signals will never trigger; always cross-check N. • Path dependence — The state variable persists until a new event; if you want frequent re-evaluation, lower thresholds or reduce N. • Regime changes — Calendar resets can produce early ambiguity; expect a few bars for the breadth to mature. • VWAP sensitivity to volume spikes — Large prints can tilt VWAP abruptly; that behavior is intentional in VWAP-based logic. Suggested starting profiles • Intraday trend bias : Anchor=Day, N=25 (1→25), upper=18–20, lower=−8, paint candles ON. • Swing bias : Anchor=Month, N=45 (1→45), upper=38–42, lower=−10, VWAP coloring ON, background OFF. • Balanced reactivity : Anchor=Week, N=30 (1→30), upper=20–22, lower=−10…−12, symmetric if desired. Implementation notes • The indicator runs in a separate pane (oscillator), but VWAP itself is drawn on price using forced overlay so you can see interactions (touches, reclaim/loss). • HLC3 is used for VWAP price; that’s a common choice to dampen wick noise while still reflecting intrabar range. • For-loop cap is kept modest (≤50) for performance and clarity. How to use this responsibly Treat the oscillator as a bias and persistence meter . Combine it with your entry framework (structure breaks, liquidity zones, higher-timeframe context) and risk controls. The design emphasizes clarity over complexity—its edge is in how strictly it demands agreement before declaring a regime, not in predicting specific turns. Summary VWAP For Loop distills the question “How broadly is the anchored, volume-weighted trend advancing or retreating?” into a single, thresholded score you can read at a glance, alert on, and color through your chart. With careful anchoring and thresholds sized to your window length, it becomes a pragmatic bias filter for both systematic and discretionary workflows.
Indicatore Pine Script®
di BackQuant
2
Bollinger Bands % | QuantEdgeB📊 Introducing Bollinger Bands % (BB%) by QuantEdgeB 🛠️ Overview BB% | QuantEdgeB is a volatility-aware momentum tool that maps price within a Bollinger envelope onto a normalized scale. By letting you choose the base moving average (SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA) and even Heikin-Ashi sources, it adapts to your style while keeping readings consistent across symbols and timeframes. Clear thresholds and color-coded visuals make it easy to spot emerging strength, fading moves, and potential mean-reversions. ✨ Key Features • 🔹 Flexible Baseline Pick from 12 MA types (plus Heikin-Ashi source option) to tailor responsiveness and smoothness. • 🔹 Normalized Positioning Price is expressed as a percentage of the band range, yielding an intuitive 0–100 style read (can exceed in extreme trends). • 🔹 Actionable Thresholds Default Long 55 / Short 45 levels provide simple, objective triggers. • 🔹 Visual Clarity Color-coded candles, shaded OB/OS zones, and adaptive color themes speed up decision-making. • 🔹 Ready-to-Alert Built-in alerts for long/short transitions. 📐 How It Works 1️⃣ Band Construction A moving average (your choice) defines the midline; volatility (standard deviation) builds upper/lower bands. 2️⃣ Normalization The indicator measures where price sits between the lower and upper band, scaling that into a bounded oscillator (BB%). 3️⃣ Signal Logic • ✅ Long when BB% rises above 55 (strength toward the top of the envelope). • ❌ Short when BB% falls below 45 (weakness toward the bottom). 4️⃣ OB/OS Context Shaded regions above/below typical ranges highlight exhaustion and potential snap-backs. ⚙️ Custom Settings • Base MA Type: SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA • Source Mode: Classic price or Heikin-Ashi (close/open/high/hlc3) • Base Length: default 40 • Band Width: standard deviation-based (2× SD by default) • Long / Short Thresholds: defaults 55 / 45 • Color Mode: Alpha, MultiEdge, TradingSuite, Premium, Fundamental, Classic, Warm, Cold, Strategy • Candles & Labels: optional candle coloring and signal markers 👥 Ideal For ✅ Trend Followers — Ride strength as price compresses near the upper band. ✅ Swing/Mean-Reversion Traders — Fade extremes when BB% stretches into OB/OS zones. ✅ Multi-Timeframe Analysts — Compare band position consistently across periods. ✅ System Builders — Use BB% as a normalized feature for strategies and filters. 📌 Conclusion BB% | QuantEdgeB delivers a clean, normalized read of price versus its volatility envelope—adaptable via rich MA/source options and easy to automate with thresholds and alerts. 🔹 Key Takeaways: 1️⃣ Normalized view of price inside the volatility bands 2️⃣ Flexible baseline (12+ MA choices) and Heikin-Ashi support 3️⃣ Straightforward 55/45 triggers with clear visual context 📌 Disclaimer: Past performance is not indicative of future results. No strategy guarantees success. 📌 Strategic Advice: Always backtest, tune parameters, and align with your risk profile before live trading.
Indicatore Pine Script®
di QuantEdgeB
Weekly and Daily EMA levelsThis Pine Script indicator provides important weekly and daily levels for lower time frame traders, whom trades based on reaction of these levels. Dedicated to Prof Michael G Key Features: Multi-timeframe EMAs: Shows 12, 21, 50, 100, and 200 period EMAs from both Weekly and Daily timeframes Horizontal dotted lines: Uses plot.style_linebr to create the dotted/dashed line effect Works on all timeframes: The lines will appear on any chart timeframe you're viewing Customizable: Individual toggles for each EMA period and timeframe Settings Available: Toggle Weekly/Daily EMAs on/off Enable/disable individual EMA periods (12, 21, 50, 100, 200) Customize colors for each EMA line Adjust line width Optional labels showing current EMA values How to Use: Copy the code into TradingView's Pine Editor Click "Add to Chart" Adjust settings in the indicator's Style tab as needed The weekly EMAs appear with slightly more opacity (30%) while daily EMAs have higher transparency (60%) to help distinguish between timeframes. The lines will automatically update as new bars form and will be visible regardless of what timeframe you're currently viewing on your chart.
Indicatore Pine Script®
di aminbehravan
Elliott Wave - Impulse + Corrective Detector (Demo) เทคนิคการใช้ สำหรับมือใหม่ ดูเฉพาะ Impulse Wave ก่อน เทรดตาม direction ของ impulse ใช้ Fibonacci เป็น support/resistance สำหรับ Advanced ใช้ Corrective Wave หาจุด reversal รวม Triangle กับ breakout strategy ใช้ Complex correction วางแผนระยะยาว ⚙️ การปรับแต่ง ถ้าเจอ Pattern น้อยเกินไป ลด Swing Length เป็น 3-4 เพิ่ม Max History เป็น 500 ถ้าเจอ Pattern เยอะเกินไป เพิ่ม Swing Length เป็น 8-12 ปิด patterns ที่ไม่ต้องการ สำหรับ Timeframe ต่างๆ H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ ข้อควรระวัง Elliott Wave เป็น subjective analysis ใช้ร่วมกับ indicators อื่นๆ Backtest ก่อนใช้เงินจริง Pattern อาจเปลี่ยนได้ตลอดเวลา 🎓 สรุป โค้ดนี้เป็นเครื่องมือช่วยวิเคราะห์ Elliott Wave ที่: ✅ ใช้งานง่าย ✅ ตรวจจับอัตโนมัติ ✅ มี confidence scoring ✅ แสดงผล Fibonacci levels ✅ ส่ง alerts เรียลไทม์ เหมาะสำหรับ: Trader ที่ต้องการใช้ Elliott Wave ในการวิเคราะห์เทคนิค แต่ไม่มีเวลานั่งหา pattern เอง 💡 Usage Tips For Beginners Focus on Impulse Waves first Trade in the direction of impulse Use Fibonacci as support/resistance levels For Advanced Users Use Corrective Waves to find reversal points Combine Triangles with breakout strategies Use Complex corrections for long-term planning ⚙️ Customization If You See Too Few Patterns Decrease Swing Length to 3-4 Increase Max History to 500 If You See Too Many Patterns Increase Swing Length to 8-12 Turn off unwanted pattern types For Different Timeframes H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ Important Warnings Elliott Wave is subjective analysis Use with other technical indicators Backtest before using real money Patterns can change at any time 🔧 Troubleshooting No Patterns Showing Check if you have enough price history Adjust Swing Length settings Make sure pattern detection is enabled Too Many False Signals Increase confidence threshold requirements Use higher timeframes Combine with trend analysis Performance Issues Reduce Max History setting Turn off unnecessary visual elements Use on liquid markets only 📈 Trading Applications Entry Strategies Wave 3 Entry: After Wave 2 completion (61.8%-78.6% retracement) Wave 5 Target: Equal to Wave 1 or Fibonacci extensions Corrective Bounce: Trade reversals at C wave completion Risk Management Stop Loss: Beyond pattern invalidation levels Take Profit: Fibonacci extension targets Position Sizing: Based on pattern confidence 🎓 Summary This code is an Elliott Wave analysis tool that offers: ✅ Easy to use interface ✅ Automatic pattern detection ✅ Confidence scoring system ✅ Fibonacci level display ✅ Real-time alerts Perfect for: Traders who want to use Elliott Wave analysis but don't have time to manually identify patterns. 📚 Quick Reference Pattern Hierarchy (Most to Least Reliable) Impulse Waves (90% confidence) Expanded Flats (85% confidence) Zigzags (80% confidence) Triangles (75% confidence) Complex Corrections (70% confidence) Best Practices Start with higher timeframes for main trend Use lower timeframes for precise entries Always confirm with volume and momentum Don't trade against strong fundamental news Keep a trading journal to track performance Remember: Elliott Wave is an art as much as a science. This tool helps identify potential patterns, but always use your judgment and additional analysis before making trading decisions.
Indicatore Pine Script®
di chadayu77
MK_OSFT - Multi-Timeframe MA Dashboard with Alerts - v1.0Multi-Timeframe Moving Average Dashboard with Advanced Alerts A comprehensive multi-timeframe moving average indicator that displays MA levels from 6 different timeframes simultaneously on your chart, complete with intelligent labeling, customizable alerts, and performance-optimized plotting. *** Key Features *** Multi-Timeframe Analysis Monitor MA levels from 6 timeframes: 5m, 15m, 1H, 4H, Daily, and Weekly Clean visual separation with customizable colors for each timeframe Smart label positioning prevents overlapping and ensures readability Intelligent Alert System Individual alert toggles for each timeframe Cross-above and cross-below MA alerts with once-per-bar frequency Alerts only trigger on confirmed timeframe closes (no false signals) Works across all trading pairs on your current chart Flexible Display Options Toggle individual timeframe visibility Choose between SMA and EMA calculations Adjustable MA length (default: 12 periods) Two source options: Current Bar or Last Confirmed Bar Customizable line widths, label sizes, and colors Advanced Plotting System Optional plot lines that don't clutter your Style tab Performance-optimized line drawing with historical data support "Wait till close" behavior for smooth higher timeframe representation Clean horizontal segments that update only on timeframe closes Real-Time Information Table Live countdown timers showing time remaining until each timeframe closes Visual indicators for current price position relative to each MA Cross direction indicators (↑/↓) for quick trend assessment Show/Alert status display for easy configuration verification *** Settings Overview *** Moving Average Settings MA Length: Adjustable period (default: 12) MA Type: SMA or EMA Source: Current bar vs Last confirmed bar Individual Timeframe Controls Show/Hide toggles for each timeframe Individual alert enable/disable Optional plot line with custom width Color customization per timeframe Visual Customization Label size options (tiny, small, normal, large) Label offset positioning Minimum gap between labels to prevent overlap Drawing order preference (larger timeframes first/last) Smart Features Automatic label collision detection and adjustment Real-time countdown timers (only on live bars) Debug table with comprehensive timeframe information Built-in alert setup instructions Perfect For Swing traders monitoring multiple timeframe confluences Day traders seeking higher timeframe bias confirmation Anyone wanting clean, organized multi-timeframe MA analysis Traders who need reliable alerts without false signals Performance Optimized Efficient line drawing system (no Style tab clutter) Smart historical data handling Minimal resource usage with intelligent update cycles Works smoothly on all timeframes and symbols Transform your chart into a comprehensive multi-timeframe analysis dashboard with this professional-grade moving average indicator.
Indicatore Pine Script®
di MK_OSF_TRADING
Crypto Pulse Signals+ Precision Crypto Pulse Signals Institutional-grade background signals for BTC/ETH low-timeframe trading (2m/5m/15m). 🔵 BLUE TINT = Valid LONG signal (enter when candle closes) 🔴 RED TINT = Valid SHORT signal (enter when candle closes) 🌫️ NO TINT = No signal (avoid trading) ✅ BTC Momentum Filter: ETH signals only fire when BTC confirms (avoids 78% of fakeouts) ✅ Volatility-Adaptive: Signals auto-adjust to market conditions (no manual tuning) ✅ Dark Mode Optimized: Perfect contrast on all chart themes Pro Trading Protocol: Trade ONLY during NY/London overlap (12-16 UTC) Enter on candle close when tint appears Stop loss: Below/above signal candle's wick Take profit: 1.8x risk (68% win rate in backtests) Based on live trading during 2024 bull run - no repaint, no lag. 🔍 Why This Description Converts Element Purpose Clear visual cues "🔵 BLUE TINT = LONG" works instantly for scanners BTC filter emphasis Highlights institutional edge (ETH traders' #1 pain point) Time-specific protocol Filters out low-probability Asian session signals Backtested stats Builds credibility without hype ("68% win rate" = believable) Dark mode mention Targets 83% of crypto traders who use dark charts 📈 Real Dark Mode Performance (Tested on TradingView Dark Theme - ETH/USDT 5m chart) UTC Time Signal Color Visibility Result 13:27 🔵 LONG Perfect contrast against black background +4.1% in 11 min 15:42 🔴 SHORT Red pops without bleeding into red candles -3.7% in 8 min 03:19 None Zero visual noise during Asian session Avoided 2 fakeouts Pro Tip: On dark mode, the optimized #4FC3F7 blue creates a subtle "watermark" effect - visible in peripheral vision but never distracting from price action. ✅ How to Deploy Paste code into Pine Editor Apply to BTC/USDT or ETH/USDT chart (Binance/Kraken) Set timeframe to 2m, 5m, or 15m Trade signals ONLY between 12-16 UTC (NY/London overlap) This is what professional crypto trading desks actually use - stripped of all noise, optimized for real screens, and battle-tested in volatile markets. No bottom indicators. No clutter. Just pure signals.
Indicatore Pine Script®
di jkdavis5
DXY Opening Zones - FixedFull Description: Overview: This indicator automates the identification of DXY (Dollar Index) opening zones, a cornerstone of the Funded Trader Academy's "Dixie Open" strategy. It marks the critical gap between market close and open, which acts as a magnetic attraction level for price action throughout the trading day. Key Features: ✅ Automatic Gap Detection: Identifies opening gaps between market close (6:00 PM EST) and open (7:45 PM EST Sunday, 7:45 PM Mon-Thu) ✅ Smart Zone Expansion: Automatically expands zones when gaps are smaller than 20 pips to include prior candle highs/lows for better trading ranges ✅ Session Highlighting: Visual overlays for London (3 AM - 12 PM EST) and New York (8 AM - 5 PM EST) sessions ✅ Phantom Candle Filter: Ignores glitch/phantom candles smaller than 2 pips to prevent false zones ✅ Time-Based Zone Extension: Zones automatically extend to 5 PM EST (US market close) for full-day relevance ✅ 15-Minute Chart Optimization: Specifically designed for the 15-minute timeframe where the strategy performs best ✅ DXY-Only Protection: Built-in safeguards ensure the indicator only works on Dollar Index symbols Trading Strategy Context: The DXY Opening Level strategy capitalizes on the market's tendency to return to opening gaps, offering approximately 70-75% win rate when traded correctly. Best entries occur during London session (after 2:30 AM EST) when volume increases. Ideal For: Forex traders using DXY correlation strategies Mean reversion and gap trading enthusiasts Traders seeking high-probability setups with defined risk Those following the Funded Trader Academy methodology Settings Explained: Zone Color: Customize the visual appearance of zones Expand Zone Threshold: Adjust when zones should expand (default 20 pips) Phantom Filter: Set minimum candle size to consider valid (default 2 pips) Session Display: Toggle London/NY session backgrounds Debug Mode: View detailed gap measurements and timing information Important Notes: Must be used on 15-minute DXY/Dollar Index charts Zones mark attraction levels, not direct entry points Always wait for valid entry signals (engulfing, pin bar, 3-bar reversal) Trade correlated forex pairs, not DXY directly Best results during London session (2:30 AM - 12 PM EST) Risk Disclaimer: This indicator identifies potential trading zones based on historical patterns. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
Indicatore Pine Script®
di stuartm69
Binance Funding Rates [vichtoreb]Source: www.binance.com The funding rate has two components: the interest rate and the average Premium Index. Binance furnishes the Premium Index data for crypto assets on the TradingView platform. This script uses that data to calculate the funding rate. Binance updates the Premium Index every 5 seconds. The average Premium Index (denoted **P\_avg**) is the time-weighted average of all Premium Index data points: P_avg = wma(Premium Index, n) where **n** is the averaging length. At each change time—8:00 PM, 4:00 AM, and 12:00 PM (UTC-4)—Binance sets P_avg = wma(Premium Index, 5 760) This is the weighted moving average of the last 8 hours because 5 760 × 5 s = 8 h. Binance then calculates the new funding rate: Funding Rate = P_avg + clamp(interest rate − P_avg, −0.05 %, 0.05 %) This value updates only at those change times (8:00 PM, 4:00 AM, and 12:00 PM, UTC-4). **Indicator precision** TradingView limits historical requests to 5 000 candles. To match Binance exactly, 5 760 candles are required. As a workaround, the script samples the Premium Index every *resolution* seconds (or minutes), where *resolution* is the indicator’s timeframe input. If it weren't for this limitation, setting resolution = 5 sec, we would get EXACTLY the same result as the official one **Interest rate** On Binance Futures, the interest rate is 0.03 % per day by default (0.01 % per funding interval, as funding occurs every 8 hours). This does not apply to certain contracts, such as ETH/BTC, for which the interest rate is 0 %. **Estimate line** If the “show estimate” input is enabled, the indicator plots wma(Premium Index, n) + clamp(interest rate − P_avg, −0.05 %, 0.05 %) with **n** equal to the number of bars that have elapsed since the last funding-rate change.
Indicatore Pine Script®
di victhoreb
Keltner Channel Based Grid Strategy # KC Grid Strategy - Keltner Channel Based Grid Trading System ## Strategy Overview KC Grid Strategy is an innovative grid trading system that combines the power of Keltner Channels with dynamic position sizing to create a mean-reversion trading approach. This strategy automatically adjusts position sizes based on price deviation from the Keltner Channel center line, implementing a systematic grid-based approach that capitalizes on market volatility and price oscillations. ## Core Principles ### Keltner Channel Foundation The strategy builds upon the Keltner Channel indicator, which consists of: - **Center Line**: Moving average (EMA or SMA) of the price - **Upper Band**: Center line + (ATR/TR/Range × Multiplier) - **Lower Band**: Center line - (ATR/TR/Range × Multiplier) ### Grid Trading Logic The strategy implements a sophisticated grid system where: 1. **Position Direction**: Inversely correlated to price position within the channel - When price is above center line → Short positions - When price is below center line → Long positions 2. **Position Size**: Proportional to distance from center line - Greater deviation = Larger position size 3. **Grid Activation**: Positions are adjusted only when the difference exceeds a predefined grid threshold ### Mathematical Foundation The core calculation uses the KC Rate formula: ``` kcRate = (close - ma) / bandWidth targetPosition = kcRate × maxAmount × (-1) ``` This creates a mean-reversion system where positions increase as price moves further from the mean, expecting eventual return to equilibrium. ## Parameter Guide ### Time Range Settings - **Start Date**: Beginning of strategy execution period - **End Date**: End of strategy execution period ### Core Parameters 1. **Number of Grids (NumGrid)**: Default 12 - Controls grid sensitivity and position adjustment frequency - Higher values = More frequent but smaller adjustments - Lower values = Less frequent but larger adjustments 2. **Length**: Default 10 - Period for moving average and volatility calculations - Shorter periods = More responsive to recent price action - Longer periods = Smoother, less noisy signals 3. **Grid Coefficient (kcRateMult)**: Default 1.33 - Multiplier for channel width calculation - Higher values = Wider channels, less frequent trades - Lower values = Narrower channels, more frequent trades 4. **Source**: Default Close - Price source for calculations (Close, Open, High, Low, etc.) - Close price typically provides most reliable signals 5. **Use Exponential MA**: Default True - True = Uses EMA (more responsive to recent prices) - False = Uses SMA (equal weight to all periods) 6. **Bands Style**: Default "Average True Range" - **Average True Range**: Smoothed volatility measure (recommended) - **True Range**: Current bar's volatility only - **Range**: Simple high-low difference ## How to Use ### Setup Instructions 1. **Apply to Chart**: Add the strategy to your desired timeframe and instrument 2. **Configure Parameters**: Adjust settings based on market characteristics: - Volatile markets: Increase Grid Coefficient, reduce Number of Grids - Stable markets: Decrease Grid Coefficient, increase Number of Grids 3. **Set Time Range**: Define your backtesting or live trading period 4. **Monitor Performance**: Watch strategy performance metrics and adjust as needed ### Optimal Market Conditions - **Range-bound markets**: Strategy performs best in sideways trending markets - **High volatility**: Benefits from frequent price oscillations around the mean - **Liquid instruments**: Ensures efficient order execution and minimal slippage ### Position Management The strategy automatically: - Calculates optimal position sizes based on account equity - Adjusts positions incrementally as price moves through grid levels - Maintains risk control through maximum position limits - Executes trades only during specified time periods ## Risk Warnings ### ⚠️ Important Risk Considerations 1. **Trending Market Risk**: - Strategy may underperform or generate losses in strong trending markets - Mean-reversion assumption may fail during sustained directional moves - Consider market regime analysis before deployment 2. **Leverage and Position Size Risk**: - Strategy uses pyramiding (up to 20 positions) - Large positions may accumulate during extended moves - Monitor account equity and margin requirements closely 3. **Volatility Risk**: - Sudden volatility spikes may trigger multiple rapid position adjustments - Consider volatility filters during high-impact news events - Backtest across different volatility regimes 4. **Execution Risk**: - Strategy calculates on every tick (calc_on_every_tick = true) - May generate frequent orders in volatile conditions - Ensure adequate execution infrastructure and consider transaction costs 5. **Parameter Sensitivity**: - Performance highly dependent on parameter optimization - Over-optimization may lead to curve-fitting - Regular parameter review and adjustment may be necessary ## Suitable Scenarios ### Ideal Market Conditions - **Sideways/Range-bound markets**: Primary use case - **Mean-reverting instruments**: Forex pairs, some commodities - **Stable volatility environments**: Consistent ATR patterns - **Liquid markets**: Major currency pairs, popular stocks/indices ## Important Notes ### Strategy Limitations 1. **No Stop Loss**: Strategy relies on mean reversion without traditional stop losses 2. **Capital Requirements**: Requires sufficient capital for grid-based position sizing 3. **Market Regime Dependency**: Performance varies significantly across different market conditions ## Disclaimer This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly test the strategy and understand its mechanics before risking real capital. The author assumes no responsibility for trading losses incurred through the use of this strategy. --- # KC网格策略 - 基于肯特纳通道的网格交易系统 ## 策略概述 KC网格策略是一个创新的网格交易系统，它将肯特纳通道的力量与动态仓位调整相结合，创建了一个均值回归交易方法。该策略根据价格偏离肯特纳通道中心线的程度自动调整仓位大小，实施系统化的网格方法，利用市场波动和价格振荡获利。 ## 核心原理 ### 肯特纳通道基础 该策略建立在肯特纳通道指标之上，包含： - **中心线**: 价格的移动平均线（EMA或SMA） - **上轨**: 中心线 + (ATR/TR/Range × 乘数) - **下轨**: 中心线 - (ATR/TR/Range × 乘数) ### 网格交易逻辑 该策略实施复杂的网格系统： 1. **仓位方向**: 与价格在通道中的位置呈反向关系 - 当价格高于中心线时 → 空头仓位 - 当价格低于中心线时 → 多头仓位 2. **仓位大小**: 与距离中心线的距离成正比 - 偏离越大 = 仓位越大 3. **网格激活**: 只有当差异超过预定义的网格阈值时才调整仓位 ### 数学基础 核心计算使用KC比率公式： ``` kcRate = (close - ma) / bandWidth targetPosition = kcRate × maxAmount × (-1) ``` 这创建了一个均值回归系统，当价格偏离均值越远时仓位越大，期望最终回归均衡。 ## 参数说明 ### 时间范围设置 - **开始日期**: 策略执行期间的开始时间 - **结束日期**: 策略执行期间的结束时间 ### 核心参数 1. **网格数量 (NumGrid)**: 默认12 - 控制网格敏感度和仓位调整频率 - 较高值 = 更频繁但较小的调整 - 较低值 = 较少频繁但较大的调整 2. **长度**: 默认10 - 移动平均线和波动率计算的周期 - 较短周期 = 对近期价格行为更敏感 - 较长周期 = 更平滑，噪音更少的信号 3. **网格系数 (kcRateMult)**: 默认1.33 - 通道宽度计算的乘数 - 较高值 = 更宽的通道，较少频繁的交易 - 较低值 = 更窄的通道，更频繁的交易 4. **数据源**: 默认收盘价 - 计算的价格来源（收盘价、开盘价、最高价、最低价等） - 收盘价通常提供最可靠的信号 5. **使用指数移动平均**: 默认True - True = 使用EMA（对近期价格更敏感） - False = 使用SMA（对所有周期等权重） 6. **通道样式**: 默认"平均真实范围" - **平均真实范围**: 平滑的波动率测量（推荐） - **真实范围**: 仅当前K线的波动率 - **范围**: 简单的高低价差 ## 使用方法 ### 设置说明 1. **应用到图表**: 将策略添加到您所需的时间框架和交易品种 2. **配置参数**: 根据市场特征调整设置： - 波动市场：增加网格系数，减少网格数量 - 稳定市场：减少网格系数，增加网格数量 3. **设置时间范围**: 定义您的回测或实盘交易期间 4. **监控表现**: 观察策略表现指标并根据需要调整 ### 最佳市场条件 - **区间震荡市场**: 策略在横盘趋势市场中表现最佳 - **高波动性**: 受益于围绕均值的频繁价格振荡 - **流动性强的品种**: 确保高效的订单执行和最小滑点 ### 仓位管理 策略自动： - 根据账户权益计算最优仓位大小 - 随着价格在网格水平移动逐步调整仓位 - 通过最大仓位限制维持风险控制 - 仅在指定时间段内执行交易 ## 风险警示 ### ⚠️ 重要风险考虑 1. **趋势市场风险**: - 策略在强趋势市场中可能表现不佳或产生损失 - 在持续方向性移动期间均值回归假设可能失效 - 部署前考虑市场制度分析 2. **杠杆和仓位大小风险**: - 策略使用金字塔加仓（最多20个仓位） - 在延长移动期间可能积累大仓位 - 密切监控账户权益和保证金要求 3. **波动性风险**: - 突然的波动性激增可能触发多次快速仓位调整 - 在高影响新闻事件期间考虑波动性过滤器 - 在不同波动性制度下进行回测 4. **执行风险**: - 策略在每个tick上计算（calc_on_every_tick = true） - 在波动条件下可能产生频繁订单 - 确保充足的执行基础设施并考虑交易成本 5. **参数敏感性**: - 表现高度依赖于参数优化 - 过度优化可能导致曲线拟合 - 可能需要定期参数审查和调整 ## 适用场景 ### 理想市场条件 - **横盘/区间震荡市场**: 主要用例 - **均值回归品种**: 外汇对，某些商品 - **稳定波动性环境**: 一致的ATR模式 - **流动性市场**: 主要货币对，热门股票/指数 ## 注意事项 ### 策略限制 1. **无止损**: 策略依赖均值回归而无传统止损 2. **资金要求**: 需要充足资金进行基于网格的仓位调整 3. **市场制度依赖性**: 在不同市场条件下表现差异显著 ## 免责声明 该策略仅供教育和研究目的。过往表现不保证未来结果。交易涉及重大损失风险，并非适合所有投资者。用户应在投入真实资金前彻底测试策略并理解其机制。作者对使用此策略产生的交易损失不承担任何责任。 --- **Strategy Version**: Pine Script v6 **Author**: Signal2Trade **Last Updated**: 2025-8-9 **License**: Open Source (Mozilla Public License 2.0)
Strategia Pine Script®
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