ATM Strike Line with Call & Put Premiums (ARJO)This indicator is designed specifically for the Indian market (NSE) and helps traders visualize the At-The-Money (ATM) strike line along with real-time Call (CE) and Put (PE) option premiums.
Key Features
Automatic ATM Detection: The script automatically identifies the ATM strike based on the underlying price, with an option for manual input.
Dynamic Expiry Control: Select expiry date easily (Year, Month, Day) in YYMMDD format.
Flexible Timeframe Support: Choose between the chart’s current timeframe or custom intervals.
Smart Symbol & Strike Interval: Automatically adapts to the selected underlying symbol (e.g., NIFTY, BANKNIFTY, RELIANCE, etc.) or allows manual setup.
Visual Representation:
ATM line plotted clearly on the chart.
CE and PE premium labels are displayed on each side of the ATM line.
ATM strike price label shown at the center.
Call–Put Volume Ratio (CPVR): Displays the live CPVR value to quickly assess market sentiment.
CPVR Interpretation
Bullish Bias: CPVR ≥ 1.25
Bearish Bias: CPVR ≤ 0.75
Neutral Zone: Between 0.75 and 1.25
⚙️ Customization
Adjustable colors for ATM line, CE/PE labels, and CPVR.
Option to manually select strike, symbol, and interval for maximum flexibility.
This tool may help to track option sentiment directly on the price chart, making it ideal for option traders and intraday analysts focusing on NIFTY, BANKNIFTY, and other NSE stocks.
Happy Trading. ARJO
تحليل الاتجاه
Bitcoin ETF Cumulative Net InflowIndicator Description:
This indicator calculates and plots the cumulative net inflow (in billions of USD) for selected Bitcoin ETFs on the main price chart. It uses AUM data from TradingView to estimate daily net flows, adjusted for BTC price changes, and accumulates them over time. The line is overlaid on the price chart (e.g., BTCUSD) with a right scale for better visibility, helping to identify correlations between ETF inflows and Bitcoin price movements.
Key Features:
Supports selection of 10 major Bitcoin ETFs (IBIT, FBTC, ARKB, etc.) via inputs.
Cumulative inflow line (purple, linewidth=2) for trend analysis.
Data sourced from request.financial("AUM", "D") for accuracy.
Custom Date MarkersCustom Date Markers - Pine Script Indicator
This indicator provides a powerful visual tool for technical and pattern analysis by allowing traders to mark up to 10 specific historical dates with customizable vertical lines on any chart. Each date can be assigned its own unique color, making it easy to categorize and distinguish between different types of events or market catalysts.
Primary Use Cases:
The indicator excels at identifying cyclical patterns and recurring market behavior. By marking significant dates such as earnings announcements, Federal Reserve meetings, dividend ex-dates, or seasonal events, traders can quickly visualize whether stocks consistently react in similar ways around these recurring dates. This is particularly valuable for discovering hidden patterns that might not be obvious from price action alone.
Practical Applications:
Earnings Analysis: Mark historical earnings dates to see if a stock tends to rally or sell-off before/after announcements
Macro Events: Identify how assets respond to FOMC meetings, CPI releases, or other economic data
Seasonal Patterns: Track dates that show recurring volatility or directional moves (like tax deadline periods, end-of-quarter re balancing, etc.)
Event Studies: Analyze the impact of company-specific events like product launches, FDA approvals, or leadership changes
Advanced Insights:
What makes this tool particularly interesting is its ability to reveal non-obvious correlations. For example, you might discover that a retail stock consistently experiences volume spikes 2-3 weeks before Black Friday across multiple years, or that certain tech stocks show weakness during specific conference dates. The color-coding feature allows you to layer multiple event types simultaneously—perhaps using red for bearish catalysts and green for bullish ones—creating a visual heat map of historical market reactions.
The indicator's 6-month default spacing (covering 4.5 years) is strategically designed to capture multiple business cycles while maintaining clarity on the chart. This timeframe is long enough to identify genuine patterns rather than coincidences, yet focused enough to remain relevant to current market conditions.
Pro Tip: Combine this indicator with volume analysis or other technical indicators to validate whether the patterns you observe are accompanied by meaningful market participation or if they're statistical noise.
NY Session Divisions⭐NY Session Divisions - Professional Trading Session Manager
NY Session Divisions is an advanced trading indicator that professionally segments the New York trading day into precise sessions, providing institutional-grade market structure analysis with smart breakout detection and comprehensive filtering systems.
✨ KEY FEATURES
🕒 8 Professional Trading Sessions
- US Overnight Range (03:30-11:50)
- NY Pre-Open (16:45-17:00)
- NY First Session ORB (17:00-17:15)
- Premarket Range - Recommended by Mahdi Salari*
- NY Midday Range
- NY 2nd Pre-Open
- 2nd Session ORB
- US After Hours ORB
🎯 Advanced Trading Strategies
- School Run Strategy (SRS) by Tom Hougaard - Breakout-focused approach
- Anti-SRS Strategy - Range-trading methodology
- Dual Strategy System - Combine breakout and range trading for maximum flexibility
🔔 Smart Alert System
- Multi-timeframe confirmation
- Heiken Ashi candle validation
- Customizable alert conditions
- Sound notifications with detailed messages
- Post-close confirmation to avoid false signals
🛡️ Professional Filter Stack
- Ichimoku Baseline
- Divergence Detection - Advanced market analysis
- EMA 200 Filter - Trend alignment
- Ichimoku Baseline - Market structure
- ATR Filter - Volatility validation
- RSI Filter - Momentum confirmation
🎨 Advanced Visualization
- Clean session range displays
- Professional Heiken Ashi candles
- Smart breakout markers (Small/Tiny for signal strength)
- Take Profit lines with ATR-based calculations
- Customizable colors and opacity
🏆 WHY TRADERS LOVE THIS INDICATOR
✅ For Breakout Traders
- Precise session boundary detection
- Clean breakout signals with confirmation
- Multiple filter validation
✅ For Range Traders
- Clear session range identification
- Anti-SRS strategy for range-bound markets
- Support/Resistance level tracking
✅ For Professional Traders
- Institutional-grade session management
- Comprehensive filtering system
- Multi-timeframe analysis
- Customizable risk management
⚡ QUICK START GUIDE
Basic Setup (2 Minutes)
1. Enable Sessions** - Choose 1-2 sessions to start
2. Set Alerts - Configure your preferred notification method
3. Apply Filters - Enable EMA 200 and Ichimoku for starters
Advanced Configuration
- Combine SRS + Anti-SRS for comprehensive strategy
- Use multiple divergence filters for confirmation
- Customize TP lines based on your risk profile
- Drawing 1st and 2nd Session Close lines
PROFESSIONAL TIPS
Session Selection Strategy
- Start with Session 1 (US Overnight) for overall market trend identification
- Add Session 3 (NY First ORB) for opening momentum
- Use Session 4 (Premarket) for the best perfomance of the breakout strategy
Filter Optimization
- Conservative : EMA 200 + Ichimoku Baseline
- Balanced : Add ATR filter for volatility check 0.8 is enough
- Aggressive : Enable all filters for maximum confirmation but the number of signal and performance will decrease
Risk Management
- Use TP lines for automatic profit targets
- Combine with proper position sizing
- Always use stop losses
🔧 TECHNICAL SPECIFICATIONS
- Platform : TradingView Pine Script v6
- Markets : All US trading instruments (ES, NQ, YM, CL, etc.)
- Timeframes : 1min to Daily
- Auto DST Handling : Yes
- Real-time Processing : Yes
📊 PERFORMANCE FEATURES
- Zero Repaint - All signals confirmed after candle close
- Multi-Timeframe - Works across all chart timeframes
- Resource Optimized - Efficient calculation methods
- User Customizable - Complete control over all parameters
- Consistent Performance - Reliable session-based signals
- Professional Grade - Institutional-level analysis tools
- Continuous Updates - Regular improvements and enhancements
- Community Supported - Active user community and support
🔄 KEEP UPDATED
Click the Favorite Star ⭐ to receive update notifications and stay current with new features and improvements!
Professional traders don't guess - they analyze. NY Session Divisions gives you the analytical edge.
Happy Trading! 📈
Created with precision for serious traders
DISCLAIMER
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always practice proper risk management and test strategies in demo accounts before live trading. Past performance does not guarantee future results.
London Open High/Low 9:00-9:15indicator marks out high and low of the first 15 minutes of the London session.
10Y–2Y Treasury Yield Curve Spread & MES % Change📝 Description:
This indicator tracks the U.S. 10-Year minus 2-Year Treasury yield spread — a powerful macroeconomic signal often used by professional traders to gauge market sentiment and recession risk — and overlays an optional MES % change line to help intraday futures traders spot macro–price divergences in real time.
Features:
🏦 Plots the 10Y–2Y spread, with optional EMA smoothing.
📉 Highlights yield curve inversion (background turns red when spread < 0).
📊 Optional MES % change line from daily or RTH open for directional bias.
🔔 Alert conditions for:
Yield curve inversion / un-inversion.
Sudden spread spikes in basis points (customizable).
🧮 Optional correlation plot to visualize relationship strength between MES and the yield curve.
🧭 Z-score normalization allows both series to be viewed in one pane without scaling issues.
Why it matters:
A falling or inverted 2s10s spread often signals risk-off behavior and pressure on equities.
A steepening curve tends to support risk-on rallies.
Divergences between MES price action and the spread can provide early warning signals of reversals or fakeouts.
Best used with:
MES (MES1!) or MYM charts for intraday & swing bias.
Fed event days, CPI/NFP, or any macro-sensitive sessions.
VWAP or structure-based intraday trading strategies.
⚠️ Note: This indicator is for informational purposes only and does not constitute financial advice. Always combine macro context with your own trade plan and risk management.
EMA HI/LO Cloud Shift + Extra EMA//@version=6
indicator("EMA HI/LO Cloud Shift + Extra EMA + Shift EMA Line", overlay=true, max_lines_count=6, max_labels_count=0)
// ------------------------
// Inputs
// ------------------------
emaLength = input.int(22, "Main EMA Length", minval=1, maxval=200)
emaLineColor = input.color(color.blue, "Main EMA Lines Color")
// Main Cloud colors
cloudAboveColor = input.color(color.new(color.green, 80), "Main Cloud Color (Price Above)")
cloudBelowColor = input.color(color.new(color.red, 80), "Main Cloud Color (Price Below)")
cloudInsideColor = input.color(color.new(color.orange, 80), "Main Cloud Color (Price Inside)")
// ------------------------
// Shift EMA (new logic)
// ------------------------
showShiftEMA = input.bool(true, "Show Shift EMA Line?")
shiftEMALength = input.int(26, "Shift EMA Length", minval=1, maxval=500)
shiftEMASource = input.source(close, "Shift EMA Source") // fully customizable source
shiftEMAColor = input.color(color.purple, "Shift EMA Color")
shiftEMAWide = input.int(2, "Shift EMA Line Width", minval=1, maxval=5)
shiftEMAOffset = input.int(0, "Shift EMA Offset", minval=-100, maxval=100)
// ------------------------
// Second EMA (independent)
// ------------------------
showSecondEMA = input.bool(true, "Show Second EMA?")
secondEMALength = input.int(200, "Second EMA Length", minval=1, maxval=1000)
secondEMAColor = input.color(color.yellow, "Second EMA Color")
secondEMAWide = input.int(2, "Second EMA Line Width", minval=1, maxval=5)
// ------------------------
// Main EMA Cloud Calculations
// ------------------------
emaHigh = ta.ema(high, emaLength)
emaLow = ta.ema(low, emaLength)
// ------------------------
// Main Cloud logic
// ------------------------
priceAboveMain = close > emaHigh
priceBelowMain = close < emaLow
priceInsideMain = not priceAboveMain and not priceBelowMain
cloudColorMain = priceAboveMain ? cloudAboveColor : priceBelowMain ? cloudBelowColor : cloudInsideColor
p1_main = plot(emaHigh, title="Main EMA High", color=emaLineColor, linewidth=2)
p2_main = plot(emaLow, title="Main EMA Low", color=emaLineColor, linewidth=2)
fill(p1_main, p2_main, color=cloudColorMain, title="Main EMA Cloud")
// ------------------------
// Shift EMA Line (replaces cloud offset)
// ------------------------
shiftEMA = ta.ema(shiftEMASource, shiftEMALength)
plot(showShiftEMA ? shiftEMA : na, title="Shift EMA Line", color=shiftEMAColor, linewidth=shiftEMAWide, offset=shiftEMAOffset)
// ------------------------
// Second EMA Plot (Independent)
// ------------------------
secondEMA = ta.ema(close, secondEMALength)
plot(showSecondEMA ? secondEMA : na, title="Second EMA", color=secondEMAColor, linewidth=secondEMAWide)
Trend Candles Full ColorThe coloring over the candle sticks isn't showing up on the picture for some reason but when you click on the indicator the color coding will appear on the chart.
Trend Candles Full Color Indicator Explanation The "Trend Candles Full Color" indicator, designed for TradingView, visually enhances candlestick charts by coloring candles based on their position relative to a simple moving average (SMA). Here's how it works and how it can benefit traders: How It Works Input : Adjust the SMA period (default is 20) to define the trend length.
Logic : The indicator compares the closing price of each candle to the SMA: Green Candle : Close is above the SMA (indicating an uptrend).
Red Candle : Close is below the SMA (indicating a downtrend).
Gray Candle : Close equals the SMA (neutral/no clear trend).
Output : Candles (body, wick, and border) are colored green, red, or gray based on the trend, overlaid directly on your price chart.
Benefits and Use Cases Trend-Following Strategies Benefit: Clearly identifies bullish (green) or bearish (red) trends, helping traders ride momentum.
Example: A swing trader using a 20-period SMA can enter long positions when candles turn green (price above SMA) and exit or short when candles turn red, confirming trend reversals.
Reversal Trading Benefit: Gray candles signal indecision near the SMA, often a precursor to reversals.
Example: A day trader might watch for gray candles after a prolonged uptrend (green candles) to anticipate a potential bearish reversal, combining with other indicators like RSI for confirmation.
Scalping Benefit: Quick visual cues for short-term trend changes on lower timeframes.
Example: A scalper on a 5-minute chart can use green candles to confirm quick bullish moves and red candles to avoid counter-trend trades, enhancing decision speed.
Position Sizing or Risk Management Benefit: Color changes highlight trend strength, aiding in adjusting trade size or stops.
Example: A trader might increase position size during strong green candle sequences (sustained uptrend) and tighten stops when gray candles appear, signaling potential trend weakness.
Tips for Use Adjust the MA Length to suit your trading style (e.g., shorter for scalping, longer for swing trading).
Combine with other indicators (e.g., support/resistance, MACD) for better accuracy.
Test on different timeframes to match your strategy.
Recommended MA Length for 1-Minute Charts Short-Term/Scalping (1-5 minute trades):10-period SMA : Very sensitive, ideal for capturing quick price movements in fast markets. May produce more noise (false signals).
20-period SMA : A balanced choice for 1-minute charts, smoothing minor fluctuations while reacting to short-term trends. A great starting point for scalpers.
Intraday Trend Trading (10-30 minute holds):50-period SMA : Captures broader intraday trends, reducing noise but lagging slightly. Suitable for larger moves within a session.
This indicator simplifies trend identification, making it a versatile tool for traders of all styles, from beginners to advanced users!
Recommended MA Length for Swing Trading / Higher Timeframes Swing Trading (holding trades for days to weeks):50-period SMA : A popular choice for swing traders on higher timeframes (e.g., 1-hour or 4-hour charts). It smooths out short-term fluctuations while identifying medium-term trends. Ideal for capturing multi-day swings.
100-period SMA : Slightly longer, this MA is great for confirming stronger, more sustained trends. It’s useful on 4-hour or daily charts for swing traders aiming to ride larger price moves.
Longer-Term Trend Trading (holding for weeks to months):200-period SMA : A classic choice for higher timeframes like daily or weekly charts. It highlights major market trends and is widely used by swing and position traders to filter out noise and focus on long-term direction.
150-period SMA : A middle ground between the 100 and 200 SMA, suitable for daily charts when you want a balance between responsiveness and trend reliability.
Relative Vigor Index with Divergence and SMA FilterThis script implements the Relative Vigor Index (RVI), originally developed by John Ehlers, enhanced with three practical analytical layers:
1. Configurable SMA filter applied to the RVI line (default: 14 periods) to smooth noise and clarify the underlying momentum trend.
2. Automated divergence detection between price action and the RVI oscillator, identifying both:
- Regular divergences ("R"): potential reversal signals (e.g., price makes a lower low while RVI makes a higher low).
- Hidden divergences ("H"): potential continuation signals (e.g., price makes a higher low while RVI makes a lower low).
3.Visual aids: labeled markers ("R"/"H") and connecting lines to make divergence patterns immediately recognizable.
Unlike basic RVI implementations, this version is designed to highlight momentum-price decoupling—a core concept in technical analysis—using robust pivot detection (`ta.pivotlow`/`ta.pivothigh`) with user-defined lookback and search ranges (default: 5–60 bars). The SMA filter helps traders distinguish between genuine momentum shifts and short-term volatility.
How it works:
- The RVI is calculated as the ratio of smoothed (close – open) to smoothed (high – low), reflecting the idea that in uptrends, closes tend to occur near highs, and in downtrends, near lows.
- Divergences are confirmed only when both a valid price pivot and a corresponding RVI pivot occur within the specified bar range.
- Hidden bearish divergences are disabled by default to reduce noise on shorter timeframes.
Suggested use:
- Use regular bullish divergences near negative RVI extremes as potential long setups.
- Watch for regular bearish divergences at positive RVI peaks as early reversal warnings.
- Combine with support/resistance or trend structure for higher-confidence entries.
This script is not a simple mashup: the integration of divergence logic with the RVI’s unique behavior, configurable sensitivity, and clean visualization provides a cohesive analytical tool that goes beyond standard implementations.
> Disclaimer: This script is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results.
—
Credits:
- Relative Vigor Index concept: John Ehlers
- Divergence methodology: Standard technical analysis practice
- Implementation and enhancements: © Carlos Mauricio Vizcarra (2025)
- Licensed under MPL 2.0
CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals
🎯 What It Does:
This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles:
Change of Character (CHOCH) – A shift in market structure signaling potential reversal
Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance
When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe).
✅ Key Features:
🔹 Visual Fair Value Gaps
Green shaded zones = Bullish FVGs (potential support)
Red shaded zones = Bearish FVGs (potential resistance)
Toggle on/off in settings
🔹 Smart CHOCH Detection
Detects breaks of recent swing highs/lows with proper context
Avoids false signals by confirming prior price structure
🔹 Clear Trade Signals
Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence)
Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence)
🔹 Customizable Filters
Option to require FVG for a signal (recommended for higher accuracy)
Adjust sensitivity via swing detection settings (default optimized for 30m)
🔹 Alert-Ready
Built-in alert conditions for instant notifications on TradingView mobile/desktop
⚙️ How to Use:
Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC)
Wait for at least 50–100 bars to load (so swing points appear)
Look for:
A green triangle (▲) → consider long entry near FVG support
A red triangle (▼) → consider short entry near FVG resistance
Confirm with price action: Wait for a strong candle close or rejection at the FVG zone
Use stop-loss below/above the FVG and target recent liquidity pools
💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC).
🛠️ Settings (Inputs):
Show Fair Value Gaps
✅ Enabled
Visualize FVG zones
Max FVG History
100 bars
Prevent chart clutter
Require FVG for Signal?
✅ Enabled
Higher-quality setups (disable to test CHOCH-only)
⚠️ Important Notes:
This is a signal generator, not financial advice. Always manage risk.
Works best in trending or breaking markets — avoid during low-volatility ranges.
FVGs may get filled (tested) before price continues — patience improves results.
Backtest on historical data before live trading.
📣 Ideal For:
Retail traders learning Smart Money Concepts (SMC)
Price action traders seeking institutional-level confluence
Intraday scalpers & swing traders on 30m–1H timeframes
Senkou Span AUse it in conjunction with Senkou Span B to create effective kumo alert signals when kumo changes direction: bullish or bearish.
TOPIX Relative Strength vs Symbol + Volume Quality (JP)Overview
Relative Strength vs Symbol + Volume Quality (JP) visualizes the relative performance (%) of a stock versus a chosen benchmark (e.g., TOPIX, Nikkei 225, or ETFs) while incorporating volume quality and momentum analysis.
It calculates percentage-point differences between the target and benchmark, smooths them (EMA/SMA), and evaluates whether the strength is supported by quality volume flow.
All data uses confirmed bars only (request.security() with confirmed values) to minimize repainting, and labels are drawn only on confirmed bars.
What It Shows
Relative Performance (%pt): Difference in rate of change between the stock and its benchmark.
Above 0 → outperforming
Below 0 → underperforming
Trend Direction: Short-/mid-term trend from smoothed EMA/SMA.
Volume Quality: Ratio of up-volume to down-volume, scaled from -1 to +1.
Volume Momentum (Z-Score): Measures unusual surges in trading activity.
Strength Detection: Combines price-based strength (relative or z-score) with volume quality and momentum filters.
How to Use
Set your comparison symbol (e.g., TSE:1306, TVC:NI225).
Adjust lookback length and smoothing period/type to fit your analysis window.
Enable “Confirm strength by volume quality” and/or “Use volume Z-score” to filter signals with supportive volume.
Optionally, configure background thresholds to highlight extreme relative strength/weakness.
Use Screener Mode to suppress visual outputs (table/labels) for performance in Pine Screener.
Main Input Groups
Comparison Settings: Benchmark symbol, calculation timeframe.
Period & Smoothing: lookback, smoothLen, and MA type (EMA or SMA).
Price Strength Detection: Enable Z-score mode and adjust zLen / zThresh.
Volume Quality & Momentum: vqThresh (volume quality) and vZth (Z-score threshold).
Display: Toggle histogram tint, background highlight, mini-table, and signal labels.
Background Thresholds: Independent thresholds for histogram/MA lines and colors.
Screener Output: Suppress visuals for screening use.
Output & Coloring
Histogram: Relative performance in %pt. Red = outperforming, Green = underperforming (intensity by magnitude).
White Line (EMA/SMA):
Rising with good volume quality → Red
Rising but poor quality → Yellow
Falling → White
Background: Optional highlight when histogram/MA exceeds user thresholds.
Counters: Hidden plots track how many bars have consecutively exceeded thresholds (usable in screeners).
Alerts
Strength Detection (Price + Volume):
Triggered when price condition (MA > 0 or Z-score > threshold) and volume conditions are met.
Weakness / Loss of Strength:
Triggered on cross-under or when volume conditions fail.
Labels: Optional, shown only on confirmed bars.
Repaint Prevention
All calculations use confirmed bar data only.
Labels appear only when bars close.
On lower timeframes, benchmark update delays may cause minor lag.
Volume quality is derived from up/down bar classification, which can be distorted by gaps or illiquid markets.
Avoid overfitting thresholds — values differ by asset and timeframe.
Practical Applications
Identify outperformance with supportive volume across sectors or themes.
Use streak counters to find consistent relative winners or laggards.
Compare stocks vs sector indices or ETFs to track rotation and momentum shifts.
Disclaimer
This script and its description are provided for educational and informational purposes only.
They do not constitute financial advice or recommendations.
Use at your own discretion, considering market risk, liquidity, and data limitations.
This description follows TradingView’s House Rules (no promotion, plagiarism, or misleading claims).
Publication Guidelines
When publishing:
Do not include promotional links or invitations.
Do not copy text/code from other authors without permission.
Screenshots should illustrate the script’s function only, not serve as marketing material.
Maintain consistency of language (English only for this version).
概要
Relative Strength vs Symbol + Volume Quality (JP) は、対象銘柄と比較指標（例：TOPIX）との相対パフォーマンスを％ポイント差で算出し、平滑化線（EMA/SMA）とヒストグラムで可視化します。さらに、出来高を「質（上げ/下げボリュームのバランス）」と「勢い（Zスコア）」で評価し、価格×出来高の両面から“強さ/弱さ”を判定します。
リペイント抑制のため、request.security()は確定足を参照し、ラベル描画も確定時に限定しています。
何がわかるか
相対パフォーマンス（％pt）：対象と比較指標の騰落率差。0より上＝相対優位、下＝相対劣位。
平滑化トレンド：相対の短中期的な傾き（EMA/SMA）。
出来高の質：上昇バー出来高と下降バー出来高の比から -1〜+1 で評価。
出来高の勢い（Zスコア）：直近出来高の異常度。
強/弱シグナル：価格条件（基準越え・Z超え）に、出来高条件（質・勢い）を組み合わせて抽出。
使い方（基本手順）
比較対象を「比較シンボル」で指定（例：TSE:1306、TVC:NI225 等）。
「比較期間（バー数）」と「平滑化（期間/種類）」を調整し、相対の視点を合わせる。
出来高確認を使う場合は「出来高の質で“強さ”を確認」「出来高の勢い（Z）」をオンにし、閾値を調整。
背景ハイライトの**閾値（ヒスト/平均線別）**を設定すると、重要局面を一目で把握可能。
スクリーナー利用時は「スクリーナー用」をオンにして、テーブル/ラベルの描画を抑制。
主な入力項目
比較設定：比較シンボル、計算タイムフレーム。
期間・平滑化：比較期間lookback、平滑化長smoothLen、MA種別（EMA/SMA）。
強さ検出（価格）：Zスコア方式のオン/オフ、zLen、zThresh。
出来高の質・勢い：質の閾値vqThresh、勢いZの長さvZlenと閾値vZth。
表示：テーブル、背景、ヒスト濃淡、直近ラベルのON/OFF。
背景（閾値）：ヒスト/平均線の上下しきいと背景色。
スクリーナー出力：描画抑制トグル。
出力と色分け
ヒストグラム：相対パフォーマンス（％pt）。プラス域は赤系、マイナス域は緑系で濃淡表示。
白線（実体は平滑化相対）：上向きかつ出来高質が閾値以上なら赤、上向きでも質不足なら黄、下降時は白。
背景色（任意）：設定したヒスト/平均線の閾値を超過/割れで自動着色。
カウンタ：ヒスト/平均線が各閾値を連続超過/連続割れした本数を、スクリーナーが取得できるよう非表示プロットで出力。
シグナル・アラート
強さ検出（価格+出来高）：
価格条件 … 平滑化線の0越え、またはZスコアがzThresh越え。
出来高条件 … 「質 ≥ vqThresh」「勢いZ ≥ vZth」（任意）。
条件一致で「強」アラート／喪失・未達で「弱」アラート。
ラベル（任意）：確定足でのみ出力。
リペイントと制約
request.security()は確定足データを用い、確定時ラベルのみ描画する設計です。
比較シンボルの更新周期・分足集計差により、短期足ではタイムラグが生じる場合があります。
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Traffic Light MA — Trend IndicatorThis script displays a simple “traffic light” circle that reflects the market trend based on two moving averages (MA).
-Green: Price > Fast MA > Slow MA → Uptrend confirmation
-Yellow: Mixed conditions (transition zone)
-Red: Slow MA > Fast MA > Price → Downtrend confirmation
You can customize:
-MA type (SMA or EMA)
-Lengths of both MAs
-Timeframe used for evaluation (e.g. Daily, 4H, Weekly)
This tool is designed for traders who prefer a minimalistic chart, showing only a clean color signal instead of multiple lines.
Recommendation:
For small MAs (8,15,21) use EMA, for big MAs (50,100,200) use SMA
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt
A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities.
🎯 What Makes This Indicator Unique?
This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels:
ALMA uses Gaussian distribution for superior price smoothing with minimal lag
Dynamic envelopes based on Gaussian probability zones
Multi-layer gradient visualization showing probability density
Adaptive envelope modes that respond to market conditions
📊 Core Components
1. Arnaud Legoux Moving Average (ALMA)
The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters:
ALMA Period: Controls the lookback window (default: 21)
Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85)
Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0)
2. Gaussian Envelope System
The indicator features three envelope calculation modes:
Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing
Adaptive Mode: Dynamically adjusts based on price acceleration and volatility
Hybrid Mode: Combines ATR and standard deviation for balanced adaptation
The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities.
3. Momentum-Adjusted Envelopes
The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels.
⚡ Key Features
Multi-Layer Gradient Visualization
The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess:
Distance from the mean
Potential support/resistance strength
Overbought/oversold conditions in context
Dynamic Color Coding
Cyan gradient: Price below ALMA (bullish zone)
Magenta gradient: Price above ALMA (bearish zone)
The ALMA line itself changes color based on price position
Trend Regime Detection
The indicator automatically identifies market regimes:
Strong Uptrend: Trend strength > 0.5% with price above ALMA
Strong Downtrend: Trend strength < -0.5% with price below ALMA
Weak trends and ranging conditions
📈 Trading Strategies
Mean Reversion Strategy
Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable.
Signals:
Long: Price in lower Gaussian zone with trend strength > -0.5%
Short: Price in upper Gaussian zone with trend strength < 0.5%
Trend Continuation Strategy
Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference.
Signals:
Long: Price crosses above ALMA during strong uptrend
Short: Price crosses below ALMA during strong downtrend
🎨 Visualization Guide
The gradient layers create a "probability cloud" around the ALMA:
Darker shades (near ALMA): High probability zone - price tends to stay here
Lighter shades (near envelope edges): Lower probability - potential reversal zones
Price at envelope extremes: Statistical outliers - strongest mean reversion setups
⚙️ Customization Options
ALMA Parameters
Adjust period for different timeframes (lower for day trading, higher for swing trading)
Modify offset to tune responsiveness vs. smoothness
Change sigma to control distribution width
Envelope Configuration
Choose envelope mode based on market characteristics
Adjust multiplier to match instrument volatility
Modify gradient depth for visual preference (5-15 layers)
Signal Enhancement
Momentum Length: Lookback for trend strength calculation
Signal Smoothing: Additional EMA smoothing to reduce noise
🔔 Built-in Alerts
The indicator includes six pre-configured alert conditions:
ALMA Trend Long - Price crosses above ALMA in strong uptrend
ALMA Trend Short - Price crosses below ALMA in strong downtrend
Mean Reversion Long - Price enters lower Gaussian zone
Mean Reversion Short - Price enters upper Gaussian zone
Strong Uptrend Detected - Momentum confirms strong bullish regime
Strong Downtrend Detected - Momentum confirms strong bearish regime
💡 Best Practices
Use on clean, liquid markets with consistent volatility
Combine with volume analysis for confirmation
Adjust envelope multiplier based on backtesting for your specific instrument
Higher timeframes (4H+) generally provide more reliable signals
Use adaptive mode for trending markets, hybrid for mixed conditions
⚠️ Important Notes
This indicator works best in markets with normal price distribution
Extreme news events can invalidate Gaussian assumptions temporarily
Always use proper risk management - no indicator is perfect
Backtest parameters on your specific instrument and timeframe
🔬 Technical Background
The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes.
The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles.
Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Trend Following Reflectometry🧭 Trend Following Reflectometry (TFR)
Author: Stef Jonker
Version: Pine Script® v6
The Trend Following Reflectometry (TFR) indicator translates market behavior into the language of impedance and signal reflection theory, providing a unique way to measure trend strength, stability, and purity.
🧩 Summary
Trend Following Reflectometry acts as a trend-quality meter, helping traders identify when a trend is strong, efficient, and worth following — or when the market is too noisy to trust.
It blends physics-inspired logic with practical trading insight, offering both a directional oscillator and a trend stability filter in one tool.
⚙️ Concept
Inspired by electrical impedance matching, this tool compares the market’s characteristic impedance (Z₀) — its natural volatility-to-price behavior — with the load impedance (Zₗ), representing current trend momentum.
The interaction between these two produces a reflection coefficient (Gamma) and a VSWR ratio, which reveal how efficiently market trends are transmitting energy (moving smoothly) versus reflecting noise (becoming unstable).
📊 Core Components
Z₀ (Characteristic Impedance): Market baseline, derived from ATR and SMA.
Zₗ (Load Impedance): Trend momentum based on fast and slow EMAs.
Γ (Gamma – Reflection Coefficient): Measures the mismatch between Z₀ and Zₗ.
VSWR (Voltage Standing Wave Ratio): Quantifies trend purity — lower = cleaner trend.
Impedance Oscillator: Combines momentum and reflection to produce directional bias.
⚡ Gamma & VSWR Interpretation
Gamma (Γ) represents the reflection coefficient — how much of the market’s trend energy is being reflected instead of transmitted.
When Gamma is low, the market trend is smooth and efficient, moving with little resistance.
When Gamma is high, the market becomes unstable or overextended, signaling potential turbulence, exhaustion, or reversal pressure.
VSWR (Voltage Standing Wave Ratio) measures trend purity — how clean or distorted the current trend is.
A low VSWR indicates a well-aligned, steady trend that’s likely to continue smoothly.
A high VSWR suggests an unbalanced or noisy market, where trends may struggle to sustain or could soon reverse.
Together, Gamma and VSWR help identify how well the market’s current momentum aligns with its natural behavior — whether the trend is stable and efficient or reflecting instability beneath the surface.
Golden Cross & Death Cross DetectorThis script will:
Plot both moving averages on your chart
Show triangle markers when crossovers occur
Allow you to set up alerts
Let you choose between SMA and EMA
Customize the periods for both moving averages
Senkou Span BUsing in conjunction with Senkou Span A to create effective kumo alert signals when kumo changes direction: bullish or bearish.
ahr999 Index BITSTAMP
Credits to discountry for making the original script.
reference:
Updates:
- Updated the historical data to use BITSTAMP:BTCUSD since BLX:BNC api is not working anymore
- Implemented a tooltip label displaying the latest AHR index value.
ema200 plus Description:
This advanced indicator displays Exponential Moving Averages (EMA) across multiple timeframes to help traders identify trend direction and strength across different market perspectives.
Key Features:
Multi-Timeframe EMA Analysis:
Plots 200-period EMA on four different timeframes: 30-minute, 1-hour, 4-hour, and Daily
Each timeframe is displayed with distinct colors for easy visual identification
Visual Elements:
Chart Lines: Four colored EMA lines plotted directly on the price chart
Price Labels: Clear labels showing each EMA's current value at the latest bar
Color-coded Table: Comprehensive data table showing price position relative to each EMA
Trend Identification:
Bullish Signal: When price closes above an EMA (green background in table)
Bearish Signal: When price closes below an EMA (dark background in table)
Helps identify confluence when multiple timeframes align in direction
Customizable Settings:
Adjustable EMA length (default: 200 periods)
Customizable line width and offset
Flexible table positioning (top/middle/bottom, left/center/right)
Configurable table cell size and text appearance
Swing traders analyzing multiple timeframes
Position traders looking for trend confirmation
Technical analysts seeking confluence across time horizons
This indicator provides a comprehensive view of market trends across different time perspectives, helping traders make more informed decisions based on multi-timeframe analysis.
This indicator does not provide trading advice. It is for educational and informational purposes only.
**指标名称：多时间框架200 EMA**
**描述：**
这款高级指标在多个时间框架上显示指数移动平均线（EMA），帮助交易者识别不同市场视角下的趋势方向和强度。
**主要特点：**
1. **多时间框架EMA分析：**
- 在四个不同时间框架上绘制200周期EMA：30分钟、1小时、4小时和日线
- 每个时间框架使用独特颜色显示，便于视觉识别
2. **视觉元素：**
- **图表线：** 在价格图表上直接绘制四条彩色EMA线
- **价格标签：** 清晰显示最新K线处各EMA的当前值
- **颜色编码表格：** 综合数据表格显示价格相对于各EMA的位置
3. **趋势识别：**
- **看涨信号：** 当价格收于EMA上方时（表格中显示绿色背景）
- **看跌信号：** 当价格收于EMA下方时（表格中显示深色背景）
- 帮助识别多个时间框架方向一致时的共振信号
4. **可自定义设置：**
- 可调整EMA长度（默认：200周期）
- 可自定义线宽和偏移量
- 灵活的表格定位（上/中/下，左/中/右）
- 可配置表格单元格大小和文本外观
**适合人群：**
- 分析多时间框架的摆动交易者
- 寻求趋势确认的头寸交易者
- 寻找不同时间维度共振信号的技术分析师
3 EMA Breakout + RSI Pro3in 1 will mostly tell yuo the direction of the trend and tell you to buy and sell but it is not a guarantee that you will take the trade this is only a technical analysis.
3 EMA Breakout + RSI Pro3in 1 will mostly tell yuo the direction of the trend and tell you to buy and sell but it is not a guarantee that you will take the trade this is only a technical analysis.
3 EMA Breakout + RSI Pro3in 1 will mostly tell yuo the direction of the trend and tell you to buy and sell but it is not a guarantee that you will take the trade this is only a technical analysis.
XAUUSD Family Scalping (5min)🟡 XAUUSD Family Scalping 5-Min — Momentum Precision Indicator
Overview
This indicator is built for XAUUSD (Gold) on the 5-minute timeframe and is designed for short-term momentum scalping.
It helps traders identify early reversal zones, confirm momentum direction, and detect exhaustion points during high-volatility market moves.
Core Concept
The indicator measures momentum strength and price acceleration using a smoothed oscillator.
It features two adjustable thresholds:
Overbought level: 58
Oversold level: -58
When the momentum line crosses above or below these zones, it signals potential trend continuation or reversal opportunities.
Features
Detects short-term momentum shifts on XAUUSD 5M.
Works with EMA-based trend confirmation (optional).
Adaptive smoothing reduces noise and false reversals.
Highlights overbought/oversold areas visually.
Can be combined with price action or other oscillators for confluence.
Usage
Instrument: XAUUSD (Gold)
Best timeframe: 5-minute (scalping setup)
Use case: Detecting momentum exhaustion and reversal entries.
Sessions: London & New York recommended.
Disclaimer
This indicator is for market analysis and educational purposes.
No indicator guarantees profit — use proper risk management and test before live trading.
