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RSI BY Josh — Signals )RSI BY Josh – อินดิเคเตอร์ RSI อัจฉริยะ พร้อมสัญญาณ BUY / SELL ทันใจ คุณเบื่อมั้ยกับการใช้ RSI แบบเดิม ๆ ที่สัญญาณมาช้า หรือไม่แม่นพอ? RSI BY Josh ถูกออกแบบมาเพื่อแก้ปัญหานั้น! นี่ไม่ใช่ RSI ธรรมดา แต่มันคือ RSI อัปเกรด ที่เพิ่มระบบแจ้งสัญญาณ BUY / SELL บนกราฟโดยตรง และให้คุณปรับความถี่การแจ้งเตือนได้ตามต้องการ 🔥 จุดเด่น RSI พร้อมเส้นกราฟ เหมือนใน MT5 ดูง่าย สวยงาม แจ้งสัญญาณ BUY / SELL ด้วยลูกศรและข้อความชัดเจน ปรับโหมดได้ 3 แบบ: Strict – เข้มงวดตามหลัก RSI ดั้งเดิม (30/70) Loose – ยืดหยุ่น ใช้การดูแรงโมเมนตัม Aggressive – เร็ว จับทุกการเปลี่ยนเทรนด์ ปรับคูลดาวน์ระหว่างสัญญาณได้ (ลดการแจ้งเตือนถี่เกิน) ตั้งค่าให้แสดงหรือไม่แสดงข้อความ BUY/SELL ได้ รองรับการแจ้งเตือน (Alert) ทันทีเมื่อเกิดสัญญาณ ✅ เหมาะสำหรับใคร เทรดเดอร์ที่ใช้ RSI ในการจับจังหวะเข้าออก คนที่ต้องการสัญญาณชัดเจน ไม่ต้องเฝ้ากราฟตลอด เหมาะกับทุกสินทรัพย์: Forex, ทองคำ, Crypto, หุ้น 💡 เพียงติดตั้ง RSI BY Josh คุณจะรู้จังหวะซื้อ-ขายได้ง่ายขึ้น เหมือนมีผู้ช่วยบอกสัญญาณให้ตลอดเวลา! RSI BY Josh – Smart RSI Indicator with Instant BUY/SELL Signals Tired of using the same old RSI that gives signals too late or lacks accuracy? RSI BY Josh is designed to solve that problem! This is not your ordinary RSI – it’s an upgraded RSI with built-in BUY/SELL signals directly on the chart, and you can adjust the signal frequency to your preference. 🔥 Features RSI Line similar to MT5 – clean and easy to read Clear BUY / SELL signals with arrows and labels 3 Signal Modes: Strict – Classic RSI rules (30/70) Loose – Momentum-based with recent high/low checks Aggressive – Fast trend change detection Adjustable cooldown between signals (avoid over-alerting) Option to show/hide BUY/SELL text Built-in alert conditions for instant notifications ✅ Perfect For Traders who use RSI for entry/exit timing Anyone who wants clear, visual trade signals without watching charts all day Works with any market: Forex, Gold, Crypto, Stocks 💡 Install RSI BY Josh and never miss a trading opportunity again – like having a personal signal assistant by your side!
Penunjuk Pine Script®
oleh JOSHSniper4569
CakeProfits-SMA+EMA GSMA & EMA Cross Ribbon V6 This indicator plots a dynamic color coded ribbon that visually highlights the relationship between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA). The ribbon changes color based on bullish or bearish crossovers: Bullish – EMA crosses above the SMA, indicating upward momentum. Bearish – EMA crosses below the SMA, signaling potential downward pressure. The SMA smooths out long-term price trends, while the EMA responds faster to recent price action. Together, they help traders identify shifts in market direction and momentum strength. The ribbon provides a clear, at-a-glance view of trend changes and can be used on any timeframe or market. There is also the option to display a 200 SMA that is also color coded. Common Uses: Confirming trend direction. Identifying early entry/exit points. Filtering trades for trend-following strategies.
Penunjuk Pine Script®
oleh CakeProfits
The Daily Bias Dashboard📜 Overview This indicator is a powerful statistical tool designed to provide traders with a probable Daily Bias based on historical price action. It is built upon the concepts of Quarterly Theory, which divides the 24-hour trading day into 4 distinct sessions to analyze market behavior. This tool analyzes how the market has behaved in the past to give you a statistical edge. It answers the question: "Based on the last X number of days, what is the most likely way the price will move during the Newyork AM & PM Sessions based on Asian & London Sessions?" ⚙️ How It Works The indicator divides the 24-hour day (based on the America/New_York timezone) into two 12-hour halves: First Half - 12 Hour Candle: The Accumulation/Manipulation or Asian/London Sessions (6 PM to 6 AM NY Time) This period covers the Asian session and the start of the London session. The indicator's only job here is to identify the highest high and lowest low of this 12-hour block, establishing the initial daily range. Second Half - 12 Hour Candle: The Distribution/Continuation or NY AM/PM Sessions (6 AM to 6 PM NY Time) This period covers the main London session and the full New York session. The indicator actively watches to see if, and in what order, the price breaks out of the range established in Session 1 (FIrst Half of the day). By tracking this behavior over hundreds of days, the indicator compiles statistics on four possible daily scenarios. 📊 The Four Scenarios & The Dashboard The indicator presents its findings in a clean, easy-to-read dashboard, calculating the historical probability of each of the following scenarios: ↓ Low, then ↑ High: The price first breaks the low of Session 1 (often a liquidity sweep or stop hunt) before reversing to break the high of Session 1. This suggests a "sweep and reverse" bullish day. ↑ High, then ↓ Low: The price first breaks the high of Session 1 before reversing to break the low of Session 1. This suggests a "sweep and reverse" bearish day. One-Sided Breakout: The price breaks only one of the boundaries (either the high or the low) and continues in that direction without taking the other side. This indicates a strong, trending day. No Breakout (Inside Bar): The price fails to break either the high or the low of Session 1, remaining contained within its range. This indicates a day of consolidation and low volatility. 🧠 How to Use This Indicator This is a confluence tool, not a standalone trading system. Its purpose is to help you frame a high-probability narrative for the trading day. Establish a Bias: Start checking the dashboard at 06:00 AM Newyork time, which is the start of next half day trading session. If one scenario has a significantly higher probability (e.g., "One-Sided Breakout" at 89%), you have a statistically-backed directional bias in the direction of Breakout. 🔧 Features & Settings Historical Days to Analyze: Set how many past days the indicator should use for its statistical analysis (default is 500). Session Timezone : The calculation is locked to America/New_York as it is central to the Quarterly Theory concept, but this setting ensures correct alignment. Dashboard Display: Fully customize the on-screen table, including its position and text size, or hide it completely. ⚠️ Important Notes For maximum accuracy, use this indicator on hourly (H1) or lower timeframes. The statistical probabilities are based on past performance and are not a guarantee of future results. This tool is designed to sharpen your analytical skills and provide a robust, data-driven framework for your daily trading decisions. Use it to build confidence in your directional bias and to better understand the rhythm of the market. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. All trading involves risk.
Penunjuk Pine Script®
oleh traderprimez
1
XAUUSD 1H – FVG Buy/Sell Signals XAUUSD 1H – Fair Value Gap (FVG) Buy/Sell Signals (No Boxes) What it is: A clean, signal-only indicator for Gold on the 1-hour chart. It detects 3-bar Fair Value Gaps, waits for a deep retest, then confirms with strong candle structure + trend + ADX before printing a BUY/SELL arrow. No rectangles or clutter—just selective, high-quality signals. Why it works: Instead of chasing breakouts, the script hunts for imbalances (FVGs) where price often returns to “fair value.” It only fires when: price revisits the gap by a configurable depth, the candle closes beyond the far edge with a small buffer, the candle body is ≥ ATR × K (confirms intent), the broader trend (EMA-50/EMA-200) agrees, and ADX (Wilder, manual) shows sufficient strength. Key features ✅ Signal-only: arrows/labels—no boxes on chart. ✅ Deep retest logic (percentage of zone), not just a touch. ✅ Strong close filter (edge + buffer) + ATR body filter. ✅ Trend filter (EMA-50 vs EMA-200) to keep trades with the regime. ✅ ADX strength to avoid chop. ✅ One signal per zone (optional “delete on use”). ✅ Alerts for both BUY and SELL. ✅ Built for Pine v6, non-repainting logic on bar close. Inputs you can tune Min FVG size (pts) – ignore tiny gaps. Retest depth (%) – how deep price must come back into the gap. Close buffer (pts) – extra confirmation beyond zone edge. Min body ≥ ATR× – candle strength requirement. Min ADX – trend strength threshold. Expire after X bars – keep zones fresh. Delete zone after signal – true = one-shot signals. How I use it Apply to XAUUSD 1H. Keep default filters for selective signals. For more setups, lower Min FVG size or ADX and reduce retest depth; for stricter signals, do the opposite. Combine with S/R or session timing (London/NY) for added confluence. Notes Signals are generated on bar close. Designed for clarity and discipline—fewer, cleaner arrows over constant noise. Works on other symbols/timeframes, but tuned for Gold 1H. Tags: #XAUUSD #Gold #FVG #SmartMoney #1H #TrendFollowing #ADX #ATR #PineV6 #TradingView
Penunjuk Pine Script®
oleh Gainsv50
Linh Index Trend & Exhaustion SuitePurpose: One overlay to judge trend, reversal risk, overextension, and volatility squeezes on indexes (built for VNINDEX/VN30, works on any symbol & timeframe). What it shows Trend state: Bull / Bear / Transition via 20/50/200 EMAs + slope check. Overextension heatmap: Background paints when price is stretched vs the 20-EMA by ATR or % (you set the thresholds). Squeeze detection: Squeeze ON (yellow dot): Bollinger Bands (20,2) inside Keltner Channels (20,1.5). Squeeze OFF + Release: White dot; script confirms direction only when close > BB upper (up) or close < BB lower (down). 52-week context: Distance to 52-week high/low (%). Higher-TF alignment: Optional weekly trend reading shown on the label while you’re on the daily. Anchored VWAP(s): Two optional AVWAPs from dates you choose (e.g., YTD open, last big gap/earnings). Plots & labels EMAs 20/50/200 (toggle on/off). Optional BB & KC bands for diagnostics. AVWAP #1 / #2 (optional). Status label with: Trend, EMAs, Dist to 20-EMA (%, ATR), 52-week distances, HTF state. Built-in alerts (set “Once per bar close”) EMA10 ↔ EMA20 cross (early momentum shift) EMA20 ↔ EMA50 cross (trend confirmation/negation) Price ↔ EMA200 cross (long-term regime) Squeeze Release UP / DOWN (BB breakout after squeeze) Overextension Cool-off UP / DN (stretched vs 20-EMA + momentum rolling) Near 52-week High (within your % threshold) How to use (playbook) Map regime: Prefer trades when Daily = Bull and HTF (Weekly) = Bull (shown on label). Hunt expansion: Yellow → White dot and close beyond BB = fresh move. Avoid chasing stretch: If background is painted (overextended vs 20-EMA), wait for a pullback or intraday base. Locations matter: 52-week proximity + HTF Bull improves breakout quality. Anchors: Add AVWAP from YTD open or last major gap to frame support/resistance. Suggested settings Overextension: ATR = 2.0, % = 4.0 to start; tune per index volatility. Squeeze bands: BB(20,2) & KC(20,1.5) default are balanced; tighten KC (1.3) for more signals, widen (1.8) for fewer/higher quality. Timeframes: Daily for signals, Weekly for bias. Optional 65-min for entries.
Penunjuk Pine Script®
oleh EmmaMia1618
VN30 Effort-vs-Result Multi-Scanner — LinhVN30 Effort-vs-Result Multi-Scanner (Pine v5) Cross-section scanner for Vietnam’s VN30 stocks that surfaces Effort vs Result footprints and related accumulation/distribution and volatility tells. It renders a ranked table (Top-N) with per-ticker signals and key metrics. What it does Scans up to 30 tickers (editable input.symbol slots) using one security() call per symbol → stays under Pine’s 40-call limit and runs reliably on any chart. Scores each ticker by counting active signals, then ranks and lists the top names. Optional metrics columns: zVol(60), zTR(60), ATR(20), HL/ATR(20). Signals (toggleable) Price/Volume – Effort vs Result EVR Squeeze (stealth): z(Vol,60) > 4 & z(TR,60) < −0.5 5σ Vol, ≤1σ Ret: z(Vol,60) > 5 & |z(Return,60)| < 1 Wide Effort, Opposite Result: z(Vol,60) > 3 & close < open & z(CLV×Vol,60) > 1 Spread Compression, Heavy Tape: (H−L)/ATR(20) < 0.6 & z(Vol,60) > 3 No-Supply / No-Demand: close < close & range < 0.6×ATR(20) & vol < 0.5×SMA(20) Momentum & Volatility Vol-of-Vol Kink: z(ATR20,200) rising & z(ATR5,60) falling BB Squeeze → Expansion: BBWidth(20) in low regime (z<−1.3) then close > upper band & z(Vol,60) > 2 RSI Non-Confirmation: Price LL/HH with RSI HL/LH & z(Vol,60) > 1 Accumulation/Distribution OBV Divergence w/ Flat Price: OBV slope > 0 & |z(ret20,260)| < 0.3 Accumulation Days Cluster: ≥3/5 bars: up close, higher vol, close near high Effort-Result Inversion (Down): big vol on down day then next day close > prior high How to use Set the timeframe (works best on 1D for EOD scans). Edit the 30 symbol slots to your VN30 constituents. Choose Top N, toggle Show metrics/Only matches and enable/disable scenarios. Read the table: Rank, Ticker, (metrics), Score, and comma-separated Signals fired. Method notes Z-scores use a population-std estimate; CLV×Vol is used for effort/location. Rolling counts avoid ta.sum; OBV is computed manually; all logic is Pine v5-safe. Intraday-only ideas (true VWAP magnets, auction volume, flows, futures/options) are not included—Pine can’t cross-scan those datasets. Disclaimer: Educational tool, not financial advice. Always confirm signals on the chart and with your process.
Penunjuk Pine Script®
oleh EmmaMia1618
Ai buy and sell fundamental the Gk fundamental is a precision built market analysis tool designed yto help traders identify high probability it uses a combination of market structure analysis, volatility tracking, and multi time frame confirmation to highlight possible trade opportunities HOW IT WORKS analyses momentum shift and structure breaks on the 2h chart for clearer direction confirms potential entries by filtering market noise and using volatility directional filters HOW TO USE apply 2h chart for primary direction when signal appears allow 1 candle to close for confirmation drop to lower time frame to lower time frame to refine entry if desired always use proper risk management - no tool guarantees results
Penunjuk Pine Script®
oleh hgavin780
Comparaison DXY, VIX, SPX, DJI, GVZPine Script indicator compares the normalized values of DXY, VIX, SPX, DJI, and GVZ indices on a single scale from 0 to 100. Here's a breakdown of what it does: Data Requests: Gets closing prices for: US Dollar Index (DXY) VIX Volatility Index S&P 500 (SPX) Dow Jones Industrial Average (DJI) Gold Volatility Index (GVZ) Normalization: Each index is normalized using a 500-period lookback to scale values between 0-100, making them comparable despite different price scales. Visualization: Plots each normalized index with distinct colors Adds a dotted midline at 50 for reference Uses thicker linewidth (2) for better visibility Timeframe Flexibility: Works on any chart timeframe since it uses timeframe.period This is useful for: Comparing relative strength/weakness between these key market indicators Identifying divergences or convergences in their movements Seeing how different asset classes (currencies, equities, volatility) relate You could enhance this by: Adding correlation calculations between pairs Including options to adjust the normalization period Adding alerts when instruments diverge beyond certain thresholds Including volume or other metrics alongside price
Penunjuk Pine Script®
oleh mjarry8123
Quant Signals: Market Sentiment Monitor HUDWavelets & Scale Spectrum This indicator is ideal for traders who adapt their strategy to market conditions — such as swing traders, intraday traders, and system developers. Trend-followers can use it to confirm trending conditions before entering. Mean-reversion traders can spot choppy markets where reversals are more likely. Risk managers can monitor volatility shifts and regime changes to adjust position size or pause trading. It works best as a market context filter — telling you the “weather” before you decide on the trade. Wavelets are like tiny “measuring rulers” for price changes. Instead of looking at the whole chart at once, a wavelet looks at differences in price over a specific time scale — for example, 2 bars, 4 bars, 8 bars, and so on. The scale spectrum is what you get when you measure volatility at several of these scales and then plot them against scale size. If the spectrum forms a straight line on a log–log chart, it means price changes follow a consistent pattern across time scales (a power-law relationship). The slope of that line gives the Hurst exponent (H) — telling you whether moves tend to persist (trend) or reverse (mean-revert). The height of the line gives you the volatility (σ) — the average size of moves. This approach works like a microscope, revealing whether the market’s behaviour is consistent across short-term and long-term horizons, and when that behaviour changes. This tool applies a wavelet-based scale-spectrum analysis to price data to estimate three key market state measures inside a rolling window: Hurst exponent (H) — measures persistence in price moves: H > ~0.55 → market is trending (moves tend to continue). H < ~0.45 → market is choppy/mean-reverting (moves tend to reverse). Values near 0.5 indicate a neutral, random-walk-like regime. Volatility (σ) — the average size of price swings at your chart’s timeframe, optionally annualized. Rising volatility means larger price moves, falling volatility means smaller moves. Fit residual — how well the observed multi-scale volatility fits a clean power-law line. Low residual = stable behaviour; high residual = structural change (possible regime shift).
Penunjuk Pine Script®
oleh Faduzzle
Quant Signals: Entropy w/ ForecastThis is the first of many quantitative signals I plan to create for TV users. Most technical analysis (TA) tools—like moving averages, oscillators, or chart patterns—are heuristic: they’re based on visually identifiable shapes, threshold crossovers, or empirically chosen rules. These methods rarely quantify the information content or structural complexity of market data. By quantifying market predictability before making a forecast, this method filters out noise and focuses your trading only during statistically favorable conditions—something traditional TA cannot objectively measure. This MEPP-based approach is quantitative and model-free: It comes from information theory and measures Shannon entropy rate to assess how predictable the market is at any moment. Instead of interpreting price formations, it uses a data-compression algorithm (Lempel–Ziv) to capture hidden structure in the sequence of returns. Forecasts are generated using a principle from statistical physics (Maximum Entropy Production), not historical chart patterns. In short, this method measures the market's predictability BEFORE deciding a directional forecast is worth trusting. This tool is to inform TA traders on the market's current regime, whether it is smooth and predictable or it is volatile and turbulent. Technical Introduction: In information theory, Shannon entropy measures the uncertainty (or information content) in a sequence of data. For markets, the entropy rate captures how much new information price returns generate over time: Low entropy rate → price changes are more structured and predictable. High entropy rate → price changes are more random and unpredictable. By discretizing recent returns into quartile-based states, this indicator: Calculates the normalized entropy rate as a regime filter. Uses MEPP to forecast the next state that maximizes entropy production. Displays both the regime status (predictable vs chaotic) and the forecast bias (bullish/bearish) in a dashboard. Measurements & How to Use Them TLDR: HIGH ENTROPY -> information generation/market shift -> Don't trust forecast/strategy 1. H (bits/sym) Shannon entropy rate of the last μ discrete returns, in bits per symbol (0–2). Lower → more predictable; higher → more random. Use as a raw measure of market structure. 2. H_max (log₂Ω) Theoretical maximum entropy for Ω states. Here Ω = 4 → H_max = 2.0 bits. Reference value for normalization. 3. Entropy (norm) H / H_max, scaled between 0 and 1. < 0.5–0.6 → predictable regime; > 0.6 → chaotic regime. Main regime filter — forecasts are more reliable when below your threshold. 4. Regime Label based on Entropy (norm) vs your entThresh. LOW (predictable) = higher odds forecast will be correct. HIGH (chaotic) = forecasts less reliable. 5. Next State (MEPP Forecast) Discrete return state (1–4) predicted to occur next, chosen to maximize entropy production: Large Down (strong bearish) Small Down (mild bearish) Small Up (mild bullish) Large Up (strong bullish) Use as your bias direction. 6. Bias Simplified label from the Next State: States 1–2 = Bearish bias (red) States 3–4 = Bullish bias (green) Align strategy direction with bias only in LOW regime.
Penunjuk Pine Script®
oleh Faduzzle
Floating Bands of the Argentine Peso (Sebastian.Waisgold) The BCRA ( Central Bank of the Argentine Republic ) announced that as of Monday, April 15, 2025, the Argentine Peso (USDARS) will float within a system of divergent exchange rate bands. The upper band was set at ARS 1400 per USD on 15/04/2025, with a +1% monthly adjustment distributed daily, rising by a fraction each day. The lower band was set at ARS 1000 per USD on 15/04/2025, with a –1% monthly adjustment distributed daily, falling by a fraction each day. This indicator is crucial for anyone trading USDARS, since the BCRA will only intervene in these situations: - Selling : if the Peso depreciates against the USD above the upper band . - Buying : if the Peso appreciates against the USD below the lower band . Therefore, this indicator can be used as follows: - If USDARS is above the upper band , it is “expensive” and you may sell . - If USDARS is below the lower band , it is “cheap” and you may buy . It can also be applied to other assets such as: - USDTARS - Dollar Cable / CCL (Contado con Liquidación) , derived from the BCBA:YPFD / NYSE:YPF ratio. A mid band —exactly halfway between the upper and lower bands—has also been added. Once added, the indicator should look like this: In the following image you can see: - Upper Floating Band - Lower Floating Band - Mid Floating Band User Configuration By double-clicking any line you can adjust: - Start day (Dia de incio), month (Mes de inicio), and year (Año de inicio) - Initial upper band value (Valor inicial banda superior) - Initial lower band value (Valor inicial banda inferior) - Monthly rate Tasa mensual %) It is recommended not to modify these settings for the Argentine Peso, as they reflect the BCRA’s official framework. However, you may customize them—and the line colors—for other assets or currencies implementing a similar band scheme.
Penunjuk Pine Script®
oleh sebastian.waisgold
SNR Pro by LogicatSNR Pro by Logicat — read the tape like a pro. This indicator builds clean, close-based Support/Resistance from pivots and then hunts for actionable touches and breaks in real time. Feature 1 – Strict Next-Bar Retest: Instantly flags the very next candle that taps a fresh S/R and rejects it (bulls at S, bears at R). No early signals, no clutter. Feature 2 – Pair-Bar Retest: When a new S/R forms (two-bar pivot), the second bar gets checked for a real touch of the previous level—precision retests only. Feature 3 – Break Watch: Untouched levels are “broken” the moment price closes beyond them, marked clearly so you know when structure shifts. Feature 4 – SBR/RBS Zones: Right after a valid break, it auto-plots entry boxes (S→SBR or R→RBS) projecting forward from the break bar—your map for the next reaction. Feature 5 – EG Zones: Captures momentum boxes from seed candles; overlapping bull/bear zones highlight extreme areas worth your attention. A tidy sticky-note in the corner calls the latest signal (“BUY/SELL/Exit”), and alerts keep you notified even off-chart. Everything is color-customizable (hello, neon 🎇). Use it to spot clean rejections, fresh breaks, and high-probability reaction zones—fast.
Penunjuk Pine Script®
oleh ling7777
Minimal S/R Zones with Volume StrengthHow it works Pivot Detection A pivot high is a candle whose high is greater than the highs of a certain number of candles before and after it. A pivot low is a candle whose low is lower than the lows of a certain number of candles before and after it. Parameters like Pivot Left Bars and Pivot Right Bars control how sensitive the pivots are. Zone Creation Pivot High → creates a Resistance zone. Pivot Low → creates a Support zone. Each zone is defined as a price range (top and bottom) and drawn horizontally for a given lookback length. Volume Strength Filter Volume Strength (%) = (Volume at Pivot / Volume SMA) × 100. If the strength is below the minimum threshold (Min Strength %), the zone is ignored. This ensures only pivots with significant trading activity create zones. Zone Management The indicator stores zones in arrays. Max Zones per side prevents too many zones from being displayed at once. Older zones are removed when new ones are added beyond the limit. Visuals Support zones → green label with Volume Strength %. Resistance zones → red label with Volume Strength %. Zones have semi-transparent boxes so price action remains visible.
Penunjuk Pine Script®
oleh tai239
Wickless Precision IndicatorThe Wickless Precision Indicator is a powerful tool designed to identify and highlight wickless and tailless candlestick patterns on your TradingView charts. A wickless candle, where the open or close price equals the high or low, signals strong directional momentum and potential support or resistance levels. This indicator automatically detects these unique candles, drawing customizable horizontal lines at their key price levels to help traders spot critical zones for entries, exits, or reversals. Key Features: Automatic Wickless Detection: Identifies bullish (no lower wick) and bearish (no upper wick) candles with precision. Dynamic Line Plotting: Draws horizontal lines at the high or low of wickless candles, extending until price interaction or user-defined conditions. Customizable Settings: Adjust line styles, colors, and sensitivity thresholds to suit your trading style. Visual Markers: Highlights wickless candles with distinct shapes (e.g., triangles or crosses) for easy identification. Alert Integration: Set real-time alerts to stay notified when wickless candles form, ensuring you never miss a potential trading opportunity. Use Cases: Pinpoint strong support/resistance zones where price rejection is evident. Identify high-probability entry or exit points based on momentum-driven candles. Enhance price action strategies with clear visual cues for market sentiment shifts. Perfect for traders seeking to capitalize on clean, wickless price movements, the Wickless Precision Indicator simplifies technical analysis and boosts trading confidence.
Penunjuk Pine Script®
oleh JonnyF_Scotty
ML Compressor Enhanced Trading Indicator# 🤖 ML Enhanced Trading Indicator - Advanced Market Analysis ## 📊 Overview This is a comprehensive Machine Learning Enhanced Trading Indicator that combines multiple advanced analytical techniques to provide high-probability trading signals. The indicator uses artificial intelligence, pattern recognition, anomaly detection, and traditional technical analysis to identify optimal entry and exit points in the market. ## 🚀 Key Features ### 🧠 **Machine Learning Core** - **Advanced Pattern Recognition**: Uses cosine similarity, Pearson correlation, and Spearman rank correlation to identify historical patterns - **AI-Powered Predictions**: Implements multiple correlation methods to forecast price movements - **Anomaly Detection**: Z-score based detection system for unusual market activities - **Signal Confidence Scoring**: Reliability assessment for each trading signal ### 📈 **Technical Analysis Integration** - **Multi-Timeframe RSI Analysis**: 14 and 21-period RSI with oversold/overbought detection - **MACD Momentum**: Enhanced MACD histogram analysis for trend confirmation - **Bollinger Bands Position**: Dynamic position tracking within BB channels - **Volume Analysis**: Spike and dry volume detection with ratio calculations - **Trend Strength Measurement**: EMA-based trend power analysis ### 🎯 **Perfect Zone Detection** - **Ideal Buy Zone**: Identifies perfect buying opportunities when 7 conditions align: - ML Score ≥ 0.60 - Bottom proximity detection - RSI in 20-35 range - Volume spike confirmation - Positive price anomaly - Bullish pattern match - Positive MACD momentum ### 📊 **Comprehensive Display Table** - **Real-time ML Analysis**: Complete breakdown of all indicators - **Perfect Buy Conditions Tracker**: Visual checklist with completion percentage - **Performance Metrics**: Win rate tracking and P&L analysis - **Signal Strength Indicators**: Confidence levels for each signal ## 🔧 **Customizable Parameters** ### **ML Settings** - **ML Lookback Period**: 20-500 bars (default: 100) - **Anomaly Threshold**: 1.0-5.0 sensitivity (default: 2.0) - **Pattern Similarity**: 0.5-0.99 matching threshold (default: 0.80) - **AI Lookback Period**: 20-200 bars (default: 50) ### **AI Prediction Models** - **Correlation Methods**: Spearman, Pearson, Cosine Similarity - **Forecast Length**: 15-250 bars (default: 50) - **Similarity Type**: Price or %Change analysis ### **Visual Options** - **Table Position**: Top/Bottom Left/Right positioning - **Table Size**: Small, Normal, Large options - **Signal Display**: Toggle buy/sell signals on/off - **AI Visualization**: Optional prediction paths and ZigZag ## 📋 **How to Use** ### **For Beginners** 1. Add the indicator to your chart 2. Look for "PERFECT BUY" signals in the table 3. Wait for completion percentage ≥ 85% for highest probability trades 4. Use the background color changes as visual confirmation ### **For Advanced Traders** 1. Analyze individual ML components in the detailed table 2. Monitor anomaly detection for unusual market conditions 3. Use pattern confidence levels for trade timing 4. Combine with your existing strategy for confirmation ### **Signal Interpretation** - **🟢 PERFECT BUY**: All 7 conditions met - highest probability reversal - **🟡 NEAR BOTTOM**: Close to ideal conditions - monitor closely - **🔴 NOT READY**: Wait for better setup - **Strong Buy/Sell Signals**: ML score-based entries with high confidence ## ⚠️ **Important Notes** ### **Risk Management** - This indicator provides analysis and signals, not guaranteed outcomes - Always use proper risk management and position sizing - Consider market conditions and fundamental factors - Backtest the strategy on your preferred timeframes and assets ### **Best Practices** - Use multiple timeframe analysis for confirmation - Combine with support/resistance levels - Monitor volume confirmation for all signals - Set appropriate stop-losses and profit targets ### **Performance Tracking** - The indicator tracks its own performance with win rate calculations - Monitor the "AI Prediction" accuracy percentage - Use the P&L tracking to assess signal quality over time ## 🔄 **Updates and Improvements** This indicator is continuously evolving with: - Enhanced machine learning algorithms - Improved pattern recognition capabilities - Additional correlation methods for better accuracy - Performance optimization for faster calculations - New visualization features based on user feedback ## 📚 **Technical Details** ### **Machine Learning Implementation** - **Pattern Matching**: 20-bar normalized price patterns with historical comparison - **Correlation Analysis**: Mathematical similarity scoring between current and historical patterns - **Anomaly Detection**: Statistical Z-score analysis across price, volume, and RSI - **Signal Weighting**: Multi-factor scoring system with optimized weights ### **Algorithm Components** 1. **Feature Extraction**: Price, volume, momentum, volatility, and trend features 2. **Pattern Recognition**: Historical pattern database with similarity matching 3. **Anomaly Detection**: Multi-dimensional Z-score threshold analysis 4. **Signal Generation**: Weighted scoring system with confidence intervals 5. **Performance Tracking**: Real-time win rate and accuracy monitoring ### **Calculation Methods** - **Trend Strength**: (EMA8 - EMA21) / EMA21 * 100 - **Volume Ratio**: Current Volume / 20-period SMA Volume - **BB Position**: (Close - BB_Lower) / (BB_Upper - BB_Lower) - **Anomaly Score**: Average of normalized Z-scores for price, volume, and RSI ## 🎨 **Visual Elements** ### **Background Colors** - **Light Green**: Perfect buy zone detected - **Light Red**: Perfect sell zone detected - **Light Blue**: Near bottom proximity - **Green/Red Transparency**: Price anomaly detection ### **Signal Shapes** - **Green Triangle Up**: Strong buy signal - **Red Triangle Down**: Strong sell signal - **Aqua Diamond**: Perfect buy zone entry - **Purple Diamond**: Perfect sell zone entry ### **Table Information** - **ML Complete Analysis**: 16 comprehensive metrics - **Perfect Buy Conditions**: 7-point checklist with status indicators - **Real-time Values**: Live updating of all calculations - **Color-coded Status**: Green (good), Yellow (moderate), Red (caution) ## 🔍 **Troubleshooting** ### **Common Issues** - **Table Not Showing**: Enable "Show ML Table" in settings - **No Signals Appearing**: Check "Show Buy/Sell Signals" option - **Performance Issues**: Reduce ML Lookback Period for faster calculation - **Too Many/Few Signals**: Adjust Anomaly Threshold sensitivity ### **Optimization Tips** - **For Day Trading**: Use lower timeframes (1m, 5m, 15m) with reduced lookback periods - **For Swing Trading**: Use higher timeframes (1h, 4h, 1D) with standard settings - **For Scalping**: Enable only strong signals and reduce pattern similarity threshold - **For Long-term**: Increase all lookback periods and use daily/weekly timeframes ## 📖 **Disclaimer** This indicator is for educational and informational purposes only. It should not be considered as financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. ### **Risk Warning** - All trading involves risk of substantial losses - Never risk more than you can afford to lose - This indicator does not guarantee profitable trades - Always use proper risk management techniques - Consider consulting with a financial advisor ### **Liability** The creator of this indicator is not responsible for any losses incurred from its use. Users should thoroughly test and understand the indicator before using it with real money. ### **Feature Requests** - Suggest improvements through TradingView comments - Report bugs with detailed descriptions - Share successful strategies using the indicator - Contribute to community discussions ## 🏆 **Credits and Acknowledgments** This indicator builds upon various open-source libraries and mathematical concepts: - TradingView ZigZag library for visualization - Statistical correlation methods from academic research - Machine learning concepts adapted for financial markets - Community feedback and testing contributions ## 📈 **Performance Metrics** The indicator includes built-in performance tracking: - **Win Rate Calculation**: Percentage of profitable signals - **Signal Accuracy**: ML prediction vs actual price movement - **Drawdown Tracking**: Current unrealized P&L from last signal - **Completion Percentage**: How many perfect conditions are met ## 🔬 **Mathematical Foundation** ### **Correlation Calculations** - **Pearson**: Measures linear correlation between patterns - **Spearman**: Rank-based correlation for non-linear relationships - **Cosine Similarity**: Vector-based similarity for pattern matching ### **Statistical Methods** - **Z-Score**: (Value - Mean) / Standard Deviation - **Pattern Normalization**: Price / Price - **Volatility Percentile**: Historical ranking of current volatility - **Momentum Calculation**: Price change over multiple periods ## 🎯 **Trading Strategies** ### **Conservative Approach** - Wait for Perfect Buy Zone (85%+ completion) - Use higher timeframes for confirmation - Set stop-loss at recent swing low - Take profits at resistance levels ### **Aggressive Approach** - Trade on Strong Buy/Sell signals - Use lower completion thresholds (70%+) - Tighter stop-losses with faster exits - Higher position sizes with confirmed trends ### **Hybrid Strategy** - Combine with other indicators for confirmation - Use different settings for different market conditions - Scale in/out based on signal strength - Adjust parameters based on market volatility
Penunjuk Pine Script®
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