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BTC Unified Overlay w/ Auto FibBTC Unified Overlay w/ Auto Fib, RSI, VWAP & Volume This overlay combines essential indicators into one visual script designed for Bitcoin (BTCUSD) trading on lower timeframes: 🔁 Auto Fibonacci Zones – Auto-detects 0.382 and 0.618 retracement levels using recent price swings 🎯 RSI(14) – Includes cluster and crossover tagging for overbought/oversold zones 📊 Volume Histogram with 10-bar Moving Average – Highlights breakout bars 📏 VWAP with ±1SD and ±2SD Bands – Shows dynamic fair value range 🟢 Breakout Signal Tagging – Detects high-volume breakout opportunities Ideal for traders who want a unified, color-coded visualization of key momentum and structure indicators. Script optimized for screenshot automation and compatible with external webhook pipelines.
Pine Script®指標
由BAMasterpeace提供
Lorentzian Key Support and Resistance Level Detector [mishy]🧮 Lorentzian Key S/R Levels Detector Advanced Support & Resistance Detection Using Mathematical Clustering The Problem Traditional S/R indicators fail because they're either subjective (manual lines), rigid (fixed pivots), or break when price spikes occur. Most importantly, they don't tell you where prices actually spend time, just where they touched briefly. The Solution: Lorentzian Distance Clustering This indicator introduces a novel approach by using Lorentzian distance instead of traditional Euclidean distance for clustering. This is groundbreaking for financial data analysis. Data Points Clustering: 🔬 Why Euclidean Distance Fails in Trading Traditional K-means uses Euclidean distance: • Formula: distance = (price_A - price_B)² • Problem: Squaring amplifies differences exponentially • Real impact: One 5% price spike has 25x more influence than a 1% move • Result: Clusters get pulled toward outliers, missing real support/resistance zones Example scenario: Prices: ← flash spike Euclidean: Centroid gets dragged toward 150 Actual S/R zone: Around 100 (where prices actually trade) ⚡ Lorentzian Distance: The Game Changer Our approach uses Lorentzian distance: • Formula: distance = log(1 + (price_difference)² / σ²) • Breakthrough: Logarithmic compression keeps outliers in check • Real impact: Large moves still matter, but don't dominate • Result: Clusters focus on where prices actually spend time Same example with Lorentzian: Prices: ← flash spike Lorentzian: Centroid stays near 100 (real trading zone) Outlier (150): Acknowledged but not dominant 🧠 Adaptive Intelligence The σ parameter isn't fixed,it's calculated from market disturbance/entropy: • High volatility: σ increases, making algorithm more tolerant of large moves • Low volatility: σ decreases, making algorithm more sensitive to small changes • Self-calibrating: Adapts to any instrument or market condition automatically Why this matters: Traditional methods treat a 2% move the same whether it's in a calm or volatile market. Lorentzian adapts the sensitivity based on current market behavior. 🎯 Automatic K-Selection (Elbow Method) Instead of guessing how many S/R levels to draw, the indicator: • Tests 2-6 clusters and calculates WCSS (tightness measure) • Finds the "elbow" - where adding more clusters stops helping much • Uses sharpness calculation to pick the optimal number automatically Result: Perfect balance between detail and clarity. How It Works 1. Collect recent closing prices 2. Calculate entropy to adapt to current market volatility 3. Cluster prices using Lorentzian K-means algorithm 4. Auto-select optimal cluster count via statistical analysis 5. Draw levels at cluster centers with deviation bands 📊 Manual K-Selection Guide (Using WCSS & Sharpness Analysis) When you disable auto-selection, use both WCSS and Sharpness metrics from the analysis table to choose manually: What WCSS tells you: • Lower WCSS = tighter clusters = better S/R levels • Higher WCSS = scattered clusters = weaker levels What Sharpness tells you: • Higher positive values = optimal elbow point = best K choice • Lower/negative values = poor elbow definition = avoid this K • Measures the "sharpness" of the WCSS curve drop-off Decision strategy using both metrics: K=2: WCSS = 150.42 | Sharpness = - | Selected = K=3: WCSS = 89.15 | Sharpness = 22.04 | Selected = ✓ ← Best choice K=4: WCSS = 76.23 | Sharpness = 1.89 | Selected = K=5: WCSS = 73.91 | Sharpness = 1.43 | Selected = Quick decision rules: • Pick K with highest positive Sharpness (indicates optimal elbow) • Confirm with significant WCSS drop (30%+ reduction is good) • Avoid K values with negative or very low Sharpness (<1.0) • K=3 above shows: Big WCSS drop (41%) + High Sharpness (22.04) = Perfect choice Why this works: The algorithm finds the "elbow" where adding more clusters stops being useful. High Sharpness pinpoints this elbow mathematically, while WCSS confirms the clustering quality. Elbow Method Visualization: Traditional clustering problems: ❌ Price spikes distort results ❌ Fixed parameters don't adapt ❌ Manual tuning is subjective ❌ No way to validate choices Lorentzian solution: ☑️ Outlier-resistant distance metric ☑️ Entropy-based adaptation to volatility ☑️ Automatic optimal K selection ☑️ Statistical validation via WCSS & Sharpness Features Visual: • Color-coded levels (red=highest resistance, green=lowest support) • Optional deviation bands showing cluster spread • Strength scores on labels: Each cluster shows a reliability score. • Higher scores (0.8+) = very strong S/R levels with tight price clustering • Lower scores (0.6-0.7) = weaker levels, use with caution • Based on cluster tightness and data point density • Clean line extensions and labels Analytics: • WCSS analysis table showing why K was chosen • Cluster metrics and statistics • Real-time entropy monitoring Control: • Auto/manual K selection toggle • Customizable sample size (20-500 bars) • Show/hide bands and metrics tables The Result You get mathematically validated S/R levels that focus on where prices actually cluster, not where they randomly spiked. The algorithm adapts to market conditions and removes guesswork from level selection. Best for: Traders who want objective, data-driven S/R levels without manual chart analysis. Credits: This script is for educational purposes and is inspired by the work of @ThinkLogicAI and an amazing mentor @DskyzInvestments . It demonstrates how Lorentzian geometrical concepts can be applied not only in ML classification but also quite elegantly in clustering.
Pine Script®指標
由mishy_Champ提供
6
ASK Screener by AshpreetThe ASK Indicator is a custom-built breakout and trend continuation system designed for swing traders seeking high-probability entries with strong risk-reward ratios. Built using a combination of moving averages, momentum filters, volume confirmation, and price structure, this indicator helps identify stocks poised for explosive moves. It uses three key moving averages: the 44-period SMA (medium trend), 20-period DEMA (short-term strength, custom-coded), and 50-period WEMA (institutional trendline). Trades are only triggered when the price is above 50 WEMA, and the 20 DEMA is above the 44 SMA. Momentum is confirmed using RSI(14) within a healthy zone of 40–60, ensuring the stock is not overbought or oversold. To focus on breakout candidates, the stock must be trading within 10% of its 52-week high, and the weekly candle range must be under 10%, signaling compression before expansion. A valid ASK Signal occurs when these conditions are met along with a breakout above the previous day’s high and volume exceeding 1.5× the 20-day average. Once triggered, the indicator auto-plots the stop-loss (1× ATR) and two profit targets: 1:2 (TP1) and 1:4 (TP2). Additionally, the system detects a narrow range setup, where the last 3 daily candles are inside the previous 3-day range — a powerful consolidation signal. Alerts for both ASK entries and narrow ranges are included. This system is ideal for positional and short-term swing traders who want to combine structure, momentum, and volume in one powerful tool.
Pine Script®指標
由ashpreetkalra13提供
ASK Indicator by AshpreetThe ASK Indicator is a custom-built breakout and trend continuation system designed for swing traders seeking high-probability entries with strong risk-reward ratios. Built using a combination of moving averages, momentum filters, volume confirmation, and price structure, this indicator helps identify stocks poised for explosive moves. It uses three key moving averages: the 44-period SMA (medium trend), 20-period DEMA (short-term strength, custom-coded), and 50-period WEMA (institutional trendline). Trades are only triggered when the price is above 50 WEMA, and the 20 DEMA is above the 44 SMA. Momentum is confirmed using RSI(14) within a healthy zone of 40–60, ensuring the stock is not overbought or oversold. To focus on breakout candidates, the stock must be trading within 10% of its 52-week high, and the weekly candle range must be under 10%, signaling compression before expansion. A valid ASK Signal occurs when these conditions are met along with a breakout above the previous day’s high and volume exceeding 1.5× the 20-day average. Once triggered, the indicator auto-plots the stop-loss (1× ATR) and two profit targets: 1:2 (TP1) and 1:4 (TP2). Additionally, the system detects a narrow range setup, where the last 3 daily candles are inside the previous 3-day range — a powerful consolidation signal. Alerts for both ASK entries and narrow ranges are included. This system is ideal for positional and short-term swing traders who want to combine structure, momentum, and volume in one powerful tool.
Pine Script®指標
由ashpreetkalra13提供
ombs- PONY Breakout Alert 🧠 תקציר הסקריפט: **PONY Breakout Alert 📈 🔍 **מטרה**: לזהות **פריצה מעלה של רמת 14.15** תוך כדי **מחזור מסחר גבוה מהממוצע**, כדי לאתר **הזדמנות מסחר שורית**. --- ⚙️ רכיבי הסקריפט: * 📌 **רמת כניסה**: `entryLevel = 14.15` * 📊 **תנאי כניסה**: * סגירת מחיר **מעל 14.15** * נפח מסחר **גבוה ב־20% מהממוצע ל־20 הימים האחרונים** * 🔔 **התראה ויזואלית**: * סמל ירוק "Entry" מופיע מתחת לנר על הגרף * קווים קבועים לרמות יעד וסטופלוס * 🎯 **יעדי רווח**: * Target 1 – 15.15 * Target 2 – 16.00 * Target 3 – 17.00 * 🛑 **סטופלוס**: * שמרני: 13.20 * אגרסיבי: 12.80 * 🔔 **התראה אוטומטית** (`alertcondition`): תשלח הודעה: *"PONY פרצה מעל 14.15 עם מחזור גבוה – שקול כניסה לעסקה."* --- 📝 מתאים עבור: * סוחרי ניתוח טכני 🧮 * מי שמחפש כניסה מבוססת על פריצה + נפח 📊 * שימוש על גרף יומי בלבד 📅 --- 🧠 Script Summary: PONY Breakout Alert 📈 🔍 Objective: Detect a breakout above the 14.15 level accompanied by high trading volume, in order to identify a bullish trading opportunity. ⚙️ Script Components: 📌 Entry Level: entryLevel = 14.15 📊 Entry Conditions: Price closes above 14.15 Volume is 20% higher than the 20-day average 🔔 Visual Alert: A green "Entry" label appears below the bar on the chart Static horizontal lines mark targets and stop-loss levels 🎯 Profit Targets: Target 1 – 15.15 Target 2 – 16.00 Target 3 – 17.00 🛑 Stop Loss: Conservative: 13.20 Aggressive: 12.80 🔔 Automated Alert (alertcondition): Sends a message: "PONY has broken above 14.15 with high volume – consider a long position." 📝 Ideal For: Technical traders 🧮 Those seeking breakouts confirmed by volume 📊 Daily chart setups only 📅
Pine Script®指標
由omribensamon提供
Auto Channel [SciQua]Auto Channel Purpose Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts. How it works 1. ZigZag pivots The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise. 2. Channel candidates From the most recent pivots, the script forms all combinations of two swing highs and two swing lows. It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance. 3. Quality scoring and selection For every valid candidate, the script checks the recent pivot segments against the trial channel and computes: Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer. Violation sum: total magnitude of the breaches for any pivots outside the channel. Current width: distance between upper and lower lines at the current bar. The “best” channel is chosen by: 1. highest inside ratio 2. then widest current width 3. then smallest violation sum 4. Plot and projection The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts. 5. Breakouts and alerts A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff. Inputs: ZigZag Price deviation for reversals (%) Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings. Pivot legs Default 2. Controls the lookback depth ZigZag uses to confirm pivots. ZigZag Color Visual only. Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings. Channel search Number of recent pivots to consider Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive. Max slope difference for parallel Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism. Max price tolerance outside channel Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines. Minimum inside to outside pivots ratio for valid channel (0.00–1.00) Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85. Styling Upper Line Color Lower Line Color Breakout Above Color Breakout Below Color Plots and visuals Upper channel line Lower channel line Triangle markers on the bar that first confirms a close outside the channel, above or below. Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts. Alerts The script defines two alert conditions: Close Above Channel Triggers when the bar closes above the projected upper line plus tolerance. Close Below Channel Triggers when the bar closes below the projected lower line minus tolerance. Practical usage Trend channels In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary. Breakout trades Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks. Tuning for timeframe and symbol • Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count. • Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry. Notes and limitations Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change. The script plots only the single best channel at any time to keep the chart clean. Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time. Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts. License and attribution License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Open source for educational and personal use only. Commercial use requires written permission. Attribution © 2025 SciQua — Joshua Danford Libraries Uses TradingView/ZigZag/7. Changelog v1.0 Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts. FAQ Why do I not see any channel sometimes? There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage. The channel looks too narrow or too wide? Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels. How can I reduce false breakout alerts? Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow. Thank you for using Auto Channel . Feedback and improvements are welcome.
Pine Script®指標
由JoshuaDanford提供
3
RSI Z‑Score + TableRSI Z-Score + Table This script calculates the Z-Score of the RSI (Relative Strength Index), which standardizes RSI based on its own recent history. What It Shows: RSI Z-Score = (Current RSI - Mean RSI) / Standard Deviation This tells you how extreme the current RSI is compared to its historical values. A table displays: Current RSI Rolling Mean RSI Z-Score How to Use: Z-Score > +2 = Statistically overbought Z-Score < -2 = Statistically oversold Use it to time reversals or overextension in RSI behavior. 🔒 Based on rolling lookback window — fully customizable. Author: Tags: #RSI #ZScore #Momentum #StatisticalEdge #MeanReversion #Crypto
Pine Script®指標
由kevin_zijlstra提供
Kairi Trend Oscillator [T3][T69]📌 Overview The Kairi Trend Oscillator is a Japanese-inspired hybrid oscillator combining Heikin-Ashi trend clarity with the Kairi (乖離率) indicator — a measure of price deviation from a moving average. This dual-layer system gives you both trend direction and trend strength/health, designed to highlight trend maturity and avoid overextended entries. ✨ Features Heikin-Ashi or normal candlestick input modes Multiple moving average options: SMA, EMA, DEMA, VWMA, and Kijun Visual color-coded trend zones: overbought, oversold, healthy, weak, and reversal conditions Full Kairi column plot with dynamic coloring Adaptive logic for trend detection (linear regression or Heikin-Ashi structure) Built-in reversal detection based on divergence between Kairi and trend direction ⚙️ How to Use Choose Candle Type: Select Heiken Ashi or Normal Candlesticks via the Candle Mode dropdown. Select Source: Choose open, high, low, or close as the input for Kairi computation. Set MA Type & Length: Configure the moving average mode and its length under Moving Average Settings. Interpret the Plot: Green/Red bars: Show Kairi oscillator values above/below 0 Background color: Shows current trend (green = uptrend, red = downtrend) Candle color overlays: 🟩 Teal = Overextended Bulls 🟥 Maroon = Overextended Bears ✅ Green = Healthy Uptrend 🔻 Red = Healthy Downtrend 🟨 Light tones = Weak trends 🔄 Blue/Fuchsia = Possible reversal detected 🔧 Configuration Inputs: Candle Mode: Heiken Ashi or Normal Candle Sticks Source: Open, High, Low, Close MA Mode: SMA, EMA, DEMA, VWMA, or Kijun MA Length: Default is 29 🧪 Advanced Tips Use Heikin-Ashi mode for better trend smoothing. Kairi divergence (e.g., bullish Kairi in a downtrend) may signal upcoming reversal — watch for blue or fuchsia bars. Combine with momentum indicators (e.g. RSI or MACD) for confluence-based setups. For mean reversion strategies, fade extreme Kairi readings (> ±5%). ⚠️ Limitations Not suited for ranging markets without trend. Kairi extremes may remain elevated in strong trends — avoid early counter-trend entries. Reversal logic is not a confirmation signal; use with caution. 📌 Disclaimer This script is educational and illustrative. Always backtest thoroughly before using in live markets.
Pine Script®指標
由Teyo69提供
1
Auto NWOG Levels x5Indicator Name: Auto NWOG Levels with Labels Description: This indicator automatically plots the NWOG (Naked Weekly Open Gap) price levels on your chart. It includes: NWOG High & Low: Solid maroon lines representing the high and low boundaries of the NWOG zone. Intermediate Levels: Dotted maroon lines at 25%, 50%, and 75% levels within the NWOG range, providing visual guidance for possible support/resistance zones. Labels: Each level is labeled on the right side of the chart, including a customizable date label for context. Extendable Lines: All lines extend horizontally for a customizable number of bars (default: 500 bars) for better visibility over time. Inputs: NWOG High: Price level of the NWOG high. NWOG Low: Price level of the NWOG low. Date Label: Text to be displayed on the labels (e.g., the week of the NWOG). This tool is useful for traders who monitor weekly price gaps and want clear, persistent levels drawn automatically on their charts.
Pine Script®指標
由andersonfaithmsd519提供