ORBs, EMAs, AVWAPThis Pine Script (version 6) is a multi-session trading indicator that combines Opening Range Breakouts (ORBs), Exponential Moving Averages (EMAs), and an Anchored VWAP (AVWAP) system — all in one overlay script for TradingView.
Here’s a clear breakdown of its structure and functionality:
🕒 1. Session Logic and ORB Calculation
Purpose: Identify and plot the high and low of the first 30 minutes (default) for the Tokyo, London, and New York trading sessions.
Session Anchors (NY time):
Tokyo → 20:00
London → 03:00
New York → 09:30
(All configurable in inputs.)
ORB Duration: Default is 30 minutes (orbDurationMin), also user-configurable.
Resets:
London and NY ORBs reset at the start of each new New York trading day (17:00 NY time).
Tokyo ORB resets independently using a stored timestamp.
Process:
For each session:
While the time is within the ORB window, the script captures the session’s high and low.
Once the window closes, those levels remain plotted until reset.
Plot Colors:
Tokyo → Yellow (#fecc02)
London → Gray (#8c9a9c)
New York → Magenta (#ff00c8)
These form visible horizontal lines marking the prior session ranges — useful for breakout or retest trading setups.
📈 2. EMA System
Purpose: Provide trend and dynamic support/resistance guidance.
It calculates and plots four EMAs:
EMA Period Color Purpose
EMA 9 Short-term Green Fast signal
EMA 20 Short-term Red Confirms direction
EMA 113 Medium Aqua Trend filter
EMA 200 Long-term Orange Macro trend baseline
Each EMA is plotted directly on the price chart for visual confluence with ORB and VWAP levels.
⚖️ 3. Anchored VWAP (AVWAP)
Purpose: Display a volume-weighted average price anchored to specific timeframes or events, optionally with dynamic deviation or percentage bands.
Features:
Anchor Options:
Time-based: Session, Week, Month, Quarter, Year, Decade, Century
Event-based: Earnings, Dividends, Splits
VWAP resets when the chosen anchor condition is met (e.g., new month, new earnings event, etc.).
Bands:
Up to three levels of symmetric upper/lower bands.
Choose between Standard Deviation or Percentage-based widths.
Display Toggles:
Each band’s visibility is optional.
VWAP can be hidden on 1D+ timeframes (hideonDWM option).
Color Scheme:
VWAP: Fuchsia (magenta-pink) line
Bands: Green / Olive / Teal with light-filled zones
⚙️ 4. Technical Highlights
Uses ta.vwap() with built-in band calculations.
Handles instruments with or without volume (errors if missing volume).
Uses time-zone aware timestamps (timestamp(NY_TZ, …)).
Uses timeframe.change() to detect new anchors for the VWAP.
Employs persistent variables (var) to maintain session state across bars.
💡 In Practice
This indicator is designed for multi-session intraday traders who:
Trade Tokyo, London, or NY open breakouts or retests.
Use EMA stacking and crossovers for trend confirmation.
Use Anchored VWAP as a fair-value or mean-reversion reference.
Need clear visual structure across different market sessions.
It provides strong session separation, trend context, and volume-weighted price reference — making it ideal for discretionary or semi-systematic trading strategies focused on liquidity zones and session momentum.
지표 및 전략
SEVENX Free|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
This indicator is being released on a trial basis and may be discontinued at our discretion.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
このインジケーターは試験公開のため、弊社の裁量で公開を停止する場合があります。
ICT Smart Entry - Auto Adaptive Dual Gold & BTC (v6 Light)Publication Description (English first, detailed)
What this script does (originality & concept):
This is a closed-form ICT-style Smart Entry helper designed specifically for Gold (XAUUSD) and Bitcoin (BTCUSD). It fuses four components into a single flow: (1) swing-based market structure (BOS up/down), (2) fair-value-gap presence to filter weak breaks, (3) liquidity sweep context using recent local extremes, and (4) an auto-adaptive threshold that scales with ATR to avoid false breaks in calm markets and over-sensitivity in volatile regimes. When a valid BOS aligns with context (FVG + sweep), the tool derives the most recent opposite candle and builds an Order Block (OB) zone. Entries are signaled only when price revisits the OB and a cooldown is respected.
How the components work together:
Adaptive threshold (ATR): compares current ATR to a long ATR average and sets the BOS strength dynamically (Calm/Normal/Volatile).
BOS & swings: detects last swing high/low and requires the close to exceed it by a dynamic ATR multiple.
FVG filter: requires a simple two-bar imbalance (bull/bear) around the break to represent displacement.
Liquidity sweep: checks if recent local highs/lows were swept before the break to bias entries.
OB derivation: finds the last opposite candle within a lookback window and builds a forward-extended box.
Execution helper: when price trades back inside the OB, it prints an entry label plus SL at the opposite side of the box and two fixed R targets (1R and 2R). Alerts are provided for BUY/SELL entries.
How to use it:
Add to any chart (built for XAUUSD & BTCUSD; works on others too).
Choose your session, swing lengths, lookback, and cooldown. Leave “Enable Auto Adaptation” on by default.
Wait for an OB to appear after a valid BOS+FVG+sweep.
When price returns to the box, consider the printed entry with SL at the other side of the box and 1R/2R targets.
Optional: Use higher-TF bias confluence and your own risk rules.
Notes & limits:
This is an execution assistant, not a full strategy. It does not place orders or guarantee results.
OBs are regenerated; only the latest box is kept for clarity.
Alerts fire on entry confirmation only.
Past performance is not indicative of future results.
Inputs (summary): ATR period; swing lengths; OB lookback & extension; session filter; cooldown bars.
Arabic (for convenience):
هذا المؤشر يجمع هيكلة السوق (BOS)، وفجوة القيمة العادلة (FVG)، وسياق سحب السيولة، مع عتبة متكيفة بالـATR. عند تحقق BOS قوي مع FVG وسحب سيولة، يحدد آخر شمعة معاكسة ويُنشئ منطقة OB. عند عودة السعر للصندوق، يظهر دخول مع SL عند الجهة المقابلة وهدفين 1R/2R. يفضّل استخدامه مع تأكيدات من فريم أعلى وإدارة مخاطر صارمة. هذا أداة مساعدة وليست إستراتيجية تنفيذ أوامر.
Quick compliance checklist
✅ Title: English, ASCII only (no emoji, no fancy dash).
✅ UI text: English, ASCII only here.
✅ No ALL CAPS in title/description (only acronyms like ICT/BTC).
✅ Description: Detailed, explains originality + how parts interact + how to use.
✅ Chart info: Script adds a small header label with Symbol/TF/Script name.
✅ No mashup-without-purpose: Description justifies each component and why they’re combined.
Biance Events 币安事件合约适用于biance中的Events，可用于btc和eth，两者表现相近，我不推荐梭哈，指标不能做到100%正确
Applicable to events in Binance, can be used for BTC and ETH, both perform similarly. I do not recommend going all-in, as indicators cannot be 100% accurate.
We Buy / We Sell - #TheStrat SignalsWe Buy / We Sell - #TheStrat SignalsDescription
This indicator is inspired by the #TheStrat methodology from Rob Smith, designed to identify high-probability "We Buy" (bullish) and "We Sell" (bearish) signals for trading stocks, ETFs, or futures like AMEX:SPY or $VSAT. It combines price action reversal patterns, higher timeframe continuity (HTFC), and optional broadening formation (BF) breaks to time entries with market momentum. Key Features: We Buy Signals: Triggered on a 2d-2u reversal (bearish to bullish candle) when the higher timeframe (HTF) is bullish (green) and optionally at a BF bottom (pivot low break). Labeled as "We Buy" at the candle’s low with a green triangle.
We Sell Signals: Triggered on a 2u-2d reversal (bullish to bearish candle) when the HTF is bearish (red) and optionally at a BF top (pivot high break). Labeled as "We Sell" at the candle’s high with a red triangle.
Candle Numbering: Displays #TheStrat candle types (1=Inside, 2u=Up, 2d=Down, 3=Outside) for context.
Debug Labels: Enabled by default, showing why signals don’t fire (e.g., "No HTFC Buy" if HTF isn’t bullish).
Partial Signals: Optional faint circles for 2d-2u or 2u-2d reversals (without HTFC/BF), disabled by default.
HTFC Background: Green (HTF bullish) or red (HTF bearish) background for timeframe alignment.
How It Works
Based on #TheStrat, the indicator seeks evidence of aggressive buying ("We Buy") or selling ("We Sell") by analyzing: Reversal Patterns: 2d-2u (We Buy): A bearish directional candle (2d) followed by a bullish directional candle (2u), signaling a potential bullish reversal.
2u-2d (We Sell): A bullish directional candle (2u) followed by a bearish directional candle (2d), signaling a potential bearish reversal.
Higher Timeframe Continuity (HTFC): We Buy requires the HTF (e.g., 1H or Daily) to close above its open (bullish).
We Sell requires the HTF to close below its open (bearish).
Broadening Formation (BF): Optional pivot high/low breaks approximate BF extremes (tops for We Sell, bottoms for We Buy).
Can be disabled (use_bf=false) for more frequent signals.
How to Use Setup: Apply to a 5min chart of a liquid asset (e.g., AMEX:SPY , NASDAQ:VSAT ) for intraday trading, or higher timeframes for swing trading.
Ensure sufficient chart history (TradingView > Chart Settings > Max Bars > 1000+).
Settings: Higher Timeframe (htf): Default "60" (1H). Try "15" (15min) for faster signals or "D" (Daily) for swing trades.
Pivot Lookback Length (pivot_len): Default 3. Lower to 1 for more signals, higher for stricter BF breaks.
Require Broadening Formation (use_bf): Default true. Set to false to skip BF checks, increasing signal frequency.
Show We Buy/We Sell Labels: Default true. Shows "We Buy" or "We Sell" on signal candles.
Show Candle Numbers: Default true. Displays 1/2u/2d/3 for #TheStrat context.
Show Debug Labels: Default true. Shows "No HTFC Buy", "No BF Buy", etc., to diagnose missing signals.
Show Partial Signals: Default false. Enable to show faint circles for 2d-2u/2u-2d reversals without HTFC/BF.
Trading: We Buy: Enter long on a green "We Buy" label (with triangle). Set stops below the signal candle’s low. Target BF highs or resistance.
We Sell: Enter short on a red "We Sell" label (with triangle). Set stops above the signal candle’s high. Target BF lows or support.
Use debug labels to understand why signals don’t fire (e.g., "No HTFC Buy" means HTF isn’t bullish).
Partial signals (faint circles) indicate reversals without full conditions, useful for discretionary setups.
Alerts: Right-click the indicator > "Add Alert" on we_buy or we_sell for real-time notifications.
Tips Best Assets: Use on liquid tickers like AMEX:SPY , NASDAQ:QQQ , or NASDAQ:VSAT , as seen in @AlexsOptions
’ examples.
Volatility: Signals are more frequent in trending or volatile markets. Check historical periods (e.g., September 2025) for testing.
Risk Management: Always use stops (e.g., 1-2% risk per trade) and validate signals with market context (e.g., sector/index alignment).
Learning #TheStrat: Study Rob Smith’s #TheStrat for deeper understanding of candle types and FTFC.
Troubleshooting No Signals? Check debug labels (e.g., "No HTFC Buy" means HTF isn’t bullish). Adjust htf (e.g., "15" or "D").
Set use_bf=false or lower pivot_len to 1 for more signals.
Ensure reversals (2d-2u or 2u-2d) are present (check candle numbers).
Test on volatile periods or liquid tickers.
No Partial Signals? Enable show_partial in settings to see faint circles for 2d-2u/2u-2d reversals.
Confirm reversal patterns exist (e.g., "2d" → "2u" in candle numbers).
200W MA Valuation ZonesInspired by "Crypto Currently"
📈 200-Week MA Valuation Zones Indicator
This script visualizes long-term valuation zones based on the 200-week moving average (MA) — a widely followed metric for identifying major market cycle bottoms and tops.
It divides price levels into five distinct zones relative to the 200W MA:
🟦 Very Cheap — Below 200W MA
🟩 Cheap — 1.0× to 1.5× 200W MA
🟨 Fair Value — 1.5× to 2.0× 200W MA
🟧 Expensive — 2.0× to 2.5× 200W MA
🟥 Very Expensive — Above 2.5× 200W MA
You can choose to anchor zones to the current price or display full historical bands.
Color-coded regions and labels make it easy to identify when an asset is historically undervalued or overvalued based on long-term moving averages.
Dynamic ATR BandsDescription:
The Dynamic ATR Bands indicator visualizes ATR-based stop-loss, take-profit, and trailing levels. Bands can be drawn relative to a fixed entry price or dynamically relative to the current price. It is ideal for trend-following, swing trading, and hybrid strategies, especially on volatile or noisy instruments.
Key Features:
Base ATR Bands:
Plots ATR-based bands above and below a reference price.
Acts as initial stop-loss or target guidance.
Adjustable multiplier (default 1× ATR).
Extra ATR Band:
Add an additional ATR band at a custom multiplier.
Position it above or below the reference price.
Useful for trailing stops or extended profit targets.
Hybrid Entry Mode:
Use Fixed Entry Price: bands are drawn relative to your entry and remain fixed.
Dynamic Mode: bands behave like standard ATR bands, moving with the current price.
Allows visualization of hybrid ATR stop-loss and trailing strategies.
Clean Visuals:
Color-coded bands differentiate base (solid) from extra (semi-transparent).
How to Use:
Set ATR length and multipliers according to your strategy.
Toggle hybrid entry mode and input your entry price, or leave off for dynamic bands.
Set the extra band multiplier and choose its position (upper/lower).
Use the bands as visual guides for stop-loss, take-profit, and trailing levels.
Inputs:
ATR Length: number of periods for ATR calculation
Base ATR Multiplier: distance of base bands from reference price
Extra ATR Multiplier: distance for the additional band
Extra Band Position: choose Upper or Lower
Use Fixed Entry Price: toggle hybrid entry mode
Entry Price: specify entry price if hybrid mode is enabled
Note:
This script is visual only; it does not place trades. It is designed to help plan ATR-based stop-loss, take-profit, and hybrid trade management visually on the chart.
RSI Signals for Bot (15m close) — JSON FIX v4RSI Signals for Bot (JSON Ready) is a lightweight automation-friendly indicator that generates clean LONG and SHORT alerts based on RSI thresholds, fully formatted in JSON for webhook-based trading bots.
It’s designed primarily for 15-minute charts and sends one alert per confirmed bar close.
Quarterly Financials on Chart with Estimates by SpeedEdge)# Quarterly Financials on Chart with Estimates
## WHAT THIS SCRIPT DOES
This indicator displays comprehensive quarterly financial data directly on your trading chart, eliminating the need to switch between charting and fundamental analysis platforms. The script automatically fetches and organizes key financial metrics including earnings per share (EPS), revenue, operating margins, depreciation & amortization, and quarterly estimates alongside actual results for comparative analysis.
## WHY THIS COMBINATION IS ORIGINAL AND USEFUL
**The Problem Solved:** Traders conducting fundamental analysis typically need to toggle between trading charts and separate financial platforms to view quarterly results, estimates, and year-over-year comparisons. This workflow is inefficient and makes it difficult to correlate price movements with earnings announcements.
**The Solution:** This script integrates fundamental financial data directly into the price chart environment, providing:
- Side-by-side comparison of quarterly estimates versus actual results
- Automatic calculation of Quarter-over-Quarter (QoQ) and Year-over-Year (YoY) growth rates
- Color-coded visualization of financial performance trends
- Regional number formatting (Indian Crores or Global Billions/Millions)
- Key valuation metrics (Market Cap, Free Float, PEG Ratio, CFO/EBITDA) in header
**Unique Features:**
1. **Dual Number Format System**: Automatically formats financial figures in Indian Crores (Cr, K Cr, L Cr) or Global formats (M, B, T) based on user preference
2. **Estimate Integration**: Shows analyst estimates for upcoming quarters alongside historical actuals for beat/miss analysis
3. **Intelligent Growth Analysis**: Automatically calculates and color-codes quarterly and yearly growth comparisons with smart handling of missing data
4. **Context-Aware Color Coding**: Green/red visualization adapts based on metric type - growth metrics, cash flow quality indicators, and expense trends each use appropriate color logic
5. **Configurable History**: Display 4 to 20 previous quarters based on analysis needs
## HOW THE SCRIPT WORKS TECHNICALLY
### Core Methodology:
**1. Financial Data Integration:**
The script accesses quarterly and annual financial statement data from public company filings, including:
- **Earnings Estimates**: Analyst consensus forecasts for upcoming quarters
- **Quarterly Actuals**: Reported earnings per share, revenue, margins, and operating expenses
- **Key Ratios**: Shares outstanding data, valuation multiples, and cash flow metrics
All data is sourced from TradingView's fundamental database, which aggregates information from official regulatory filings (10-Q, 10-K, annual reports) filed by publicly traded companies.
**2. Historical Data Organization:**
The script employs a sophisticated data structure system that:
- Detects when new quarterly results are released by monitoring data changes
- Automatically indexes financial data by quarters relative to the current date
- Creates a chronological timeline of financial performance
- Maintains historical records for comparison calculations
- Updates dynamically as new earnings are reported
**3. Intelligent Number Formatting:**
**Indian Regional Format:**
- Converts absolute values to Crore denomination (1 Crore = 10 Million)
- Scales to Thousand Crores (K Cr) for mid-size companies
- Scales to Lakh Crores (L Cr) for large corporations
- Appropriate for analyzing Indian market stocks
**Global Standard Format:**
- Uses Million (M) for smaller companies
- Scales to Billion (B) for mid-cap and large-cap stocks
- Uses Trillion (T) for mega-cap corporations
- Thousands (K) for smaller financial figures
- Standard across US and international markets
**4. Comparative Growth Analysis:**
**Quarter-over-Quarter (QoQ) Calculations:**
The script compares each quarter's performance against the immediately preceding quarter to identify:
- Sequential growth trends
- Momentum acceleration or deceleration
- Short-term business trajectory
- Seasonal pattern changes
**Year-over-Year (YoY) Calculations:**
Compares each quarter against the same quarter from the previous year to:
- Eliminate seasonal effects
- Identify sustainable growth trends
- Normalize for business cycles
- Provide apples-to-apples comparison
Both calculations automatically handle edge cases like missing data, account for different fiscal year conventions, and provide meaningful "N/A" indicators when comparative data is unavailable.
**5. Adaptive Color Coding System:**
**Growth Metrics (EPS, Revenue):**
- Positive growth → Green shading indicates improving performance
- Negative growth → Red shading signals declining performance
- Missing data → Gray indicates insufficient information
**Quality Indicators (Free Float %):**
- Lower float (<40%) → Green indicates potentially better supply-demand dynamics
- Higher float (≥40%) → Red suggests more diluted ownership
**Cash Flow Quality (CFO/EBITDA):**
- Strong cash conversion (≥50%) → Green shows quality earnings
- Weak cash conversion (<50%) → Red flags potential accounting concerns
**Expense Trends (Depreciation & Amortization):**
- Decreasing D&A → Green indicates improving cash flow characteristics
- Increasing D&A → Red suggests rising capital intensity
- Stable D&A → Default color shows consistency
**Future Estimates:**
- Yellow coloring clearly distinguishes forward-looking estimates from historical actuals
**6. Date and Quarter Intelligence:**
The script automatically:
- Determines the current financial quarter based on real-time date
- Maps calendar months to fiscal quarters (Q1-Q4)
- Handles different fiscal year conventions globally
- Calculates quarter differentials for accurate historical lookback
- Formats display labels showing quarter-end months and years (e.g., "Mar 24", "Dec 23")
### Advanced Calculations:
**Free Float Percentage:**
Calculates the proportion of shares available for public trading relative to total shares outstanding. Lower percentages indicate more concentrated ownership, which can affect volatility and liquidity.
**Market Capitalization:**
Real-time calculation using total shares outstanding multiplied by current market price, automatically updated with each price tick and formatted according to regional preferences.
**CFO/EBITDA Cash Quality Ratio:**
Measures what percentage of accounting earnings converts to actual operating cash flow. Higher ratios indicate better earnings quality and less aggressive accounting. Industry standards vary, but 60-100% typically signals strong cash generation.
**Operating Profit Margin Tracking:**
Monitors the percentage of revenue retained as operating profit after deducting operating expenses, providing insight into operational efficiency and pricing power trends.
## HOW TO USE THIS SCRIPT
### Initial Setup:
**1. Region Configuration:**
- **India**: Select for Indian stocks - formats numbers in Crores (₹10M = 1 Cr)
- **Global**: Select for international stocks - formats in Millions/Billions
**2. Display Settings:**
- **Position**: Choose table location on chart (Top Right recommended)
- **Table Size**: Adjust based on screen resolution (Normal is default)
- **Short Labels**: Enable to condense industry/sector names for space saving
- **Lookback Quarters**: Set how many previous quarters to display (4-20, default 5)
**3. Visual Customization:**
- **Background Color**: Customize table background color and transparency
- **Text Color**: Adjust text color for visibility
- **Border/Frame Colors**: Modify table borders for preferred appearance
### Reading the Dashboard:
**Header Section (Top 3 Rows):**
**Row 1:**
- **Ticker | Mcap**: Company symbol and current market capitalization
- **FF (Free Float)**: Percentage of freely traded shares (Green < 40% is positive, Red ≥ 40%)
- **CFO/EBITDA**: Cash flow quality ratio (Green ≥ 50% is positive, Red < 50%)
**Row 2:**
- **Industry**: Company's specific industry classification
- **Sector**: Broader sector classification
- **PEG Ratio**: Price/Earnings to Growth ratio (< 1 traditionally considered undervalued)
**Data Section:**
**Column Explanations:**
1. **Fin Q**: Financial quarter (format: "Mar 24" = Q4 FY2024 ending March)
2. **EPS**: Earnings Per Share in reporting currency
3. **QoQ %**: EPS growth versus previous quarter (Green = increase, Red = decrease)
4. **YoY %**: EPS growth versus same quarter last year
5. **Sales**: Total revenue (formatted in Cr or M/B based on region)
6. **QoQ %**: Revenue growth versus previous quarter
7. **YoY %**: Revenue growth versus same quarter last year
8. **OPM %**: Operating Profit Margin percentage
9. **D&A**: Depreciation & Amortization (Green if decreasing = cash flow positive)
**Estimates Row (Yellow Text):**
- Shows "Q Est." for upcoming quarter
- Displays analyst consensus estimates for EPS and Sales
- Compare actuals against estimates after earnings release to identify beats/misses
### Trading Applications:
**Fundamental Analysis:**
- **Earnings Quality Check**: Look for consistent QoQ and YoY growth in both EPS and Sales
- **Margin Trend Analysis**: Monitor OPM % changes to assess operational efficiency
- **Estimate Comparison**: Identify stocks that consistently beat or miss estimates
- **Cash Flow Validation**: Use CFO/EBITDA ratio to verify earnings quality
**Entry/Exit Timing:**
- **Post-Earnings Analysis**: Check if stock beat estimates and by what margin
- **Trend Confirmation**: Strong YoY growth + improving margins = positive fundamentals
- **Warning Signs**: Declining margins, negative growth, or deteriorating CFO/EBITDA
**Portfolio Screening:**
- **Growth Stocks**: Look for consistent QoQ and YoY EPS/Sales growth
- **Value Stocks**: Low PEG ratios combined with positive fundamentals
- **Quality Filter**: High CFO/EBITDA ratios (>75%) indicate superior cash generation
### Interpretation Guidelines:
**Strong Fundamental Setup:**
- YoY growth > 15% in both EPS and Sales
- QoQ growth positive for 2+ consecutive quarters
- OPM % stable or improving
- CFO/EBITDA > 60%
- Actual results exceed estimates
**Concerning Signals:**
- Declining YoY growth rates
- Shrinking operating margins
- Consistently missing estimates
- CFO/EBITDA < 40%
- Increasing D&A as percentage of revenue
## IMPORTANT USAGE NOTES
**Data Limitations:**
- Financial data depends on official company filings and reporting schedules
- Some stocks may have incomplete historical data depending on listing history
- Estimates may not be available for all companies, especially smaller-cap stocks
- Data updates occur after official earnings releases, not in real-time during announcements
**Realistic Expectations:**
- This tool displays historical fundamental data for analysis - not predictive signals
- Always verify critical financial data with official company filings when making investment decisions
- Fundamental analysis should complement technical analysis, not replace it
- Past financial performance does not guarantee future results
- Earnings estimates are analyst opinions, not certainties
**Best Practices:**
- Cross-reference important data points with company investor relations pages
- Consider industry-specific metrics beyond the displayed general figures
- Use in conjunction with technical indicators for comprehensive analysis
- Monitor for data anomalies (stock splits, accounting changes, restatements) that may affect comparisons
- Understand that different accounting standards (GAAP vs IFRS) may affect international comparisons
**Regional Considerations:**
- Indian stocks: Numbers in Crores (1 Cr = 10 Million Rupees)
- Global stocks: Numbers in standard M/B/T format
- Currency conversions are not performed - data shown in reporting currency
- Fiscal year conventions vary by region (India typically uses Apr-Mar fiscal year, US uses Jan-Dec or custom fiscal years)
- Different markets have different reporting timelines and requirements
## CONFIGURATION RECOMMENDATIONS
**For Indian Stocks:**
- Region: India
- Lookback: 5-8 quarters (recommended)
- Focus on YoY growth due to seasonal business patterns in many Indian companies
**For US/Global Stocks:**
- Region: Global
- Lookback: 4-6 quarters for tech/growth stocks
- Lookback: 8-12 quarters for cyclical/industrial stocks
- Monitor QoQ trends closely for rapid-growth sectors
**For Long-term Investors:**
- Increase lookback to 12-20 quarters to see multi-year trends
- Focus on consistency rather than individual quarter volatility
- Pay close attention to CFO/EBITDA quality metric for sustainable businesses
- Look for stable or improving margins over extended periods
**For Active Traders:**
- Use 4-6 quarter lookback for recent trend focus
- Concentrate on latest QoQ trends and estimate beats/misses
- Monitor table closely before/after earnings announcements
- Compare estimate versus actual immediately post-earnings for trading opportunities
**For Swing Traders:**
- 6-8 quarter lookback provides good balance
- Focus on acceleration/deceleration in growth rates
- Use margin trends to identify operational inflection points
- Combine with technical analysis for optimal entry/exit timing
This script serves as a comprehensive fundamental analysis tool for traders and investors who want seamless chart integration of financial data without workflow interruption, enabling faster and more informed decision-making.
MINE CBPR Pro ✦ v217.1MINE CBPR ✦ Pro is a next-generation universal indicator that combines Channel Breakout structure with Pivot Reversal logic to detect precise turning points across any market. Built for versatility, it adapts seamlessly from stocks and indices to crypto futures, and performs with exceptional precision even on ultra-short timeframes such as the 1-minute and 5-minute charts.
This system integrates advanced volatility filters and structural validation layers to reduce noise and highlight only high-probability reversal signals. Every component has been optimized to balance responsiveness and stability, providing traders with actionable insights in both trending and ranging markets.
Currently undergoing comprehensive backtesting and optimization, MINE CBPR ✦ Pro represents the latest evolution of the MINE series — engineered for traders who demand speed, accuracy, and reliability across all assets and timeframes. We hope you look forward to it.
B Trend Analysis % (No Repaint)
Overview
B Trend Analysis % is a no-repaint indicator that identifies bullish, bearish, or mean-reverting market phases using confirmed (prior-bar) signals from SMA crossovers, ADX trend strength, Supertrend direction, and optional RSI filtering. It visualizes trends via background colors (green for bullish, red for bearish, gray for mean-reversion) and provides a stats table showing bullish/bearish percentages over the chart's history.
How It Works
-
SMA Crossover: Detects momentum shifts with short (default 1) vs. long (default 3) SMAs.
ADX Filter: Ensures strong trends (smoothed ADX > threshold, default 1).
Supertrend: Confirms direction using ATR-based bands (period 3, factor 0.3).
RSI (Optional): Filters extremes (oversold >30 for bull, overbought <70 for bear; period 2).
Trends require trendLookback (default 3) consecutive confirmed bars for reliability. Stats count only confirmed bars to avoid repainting.
Usage
- Apply to any timeframe/symbol for trend confirmation.
- Green background: Enter/hold longs; red: shorts; gray: Avoid trades (range-bound).
- Tune inputs: Shorten lengths for scalping; enable RSI for mean-reversion filters.
- Plots: Blue (short SMA), red (long SMA). Table shows % bullish/bearish and ADX strength.
- Best for volatile assets like crypto/forex; back test on clean price charts.
Key Features
- No repainting: Uses var state and prior-bar values ( ).
- Efficient: Lightweight calcs, no request .security() .
- Customizable: Advanced group for lookback (1-5 bars).
Protected Script Notice
This script is published as Protected to safeguard proprietary elements in the trend confirmation logic, including the custom consecutive-bar counter and smoothed ADX integration, which were developed through extensive back testing. While the core inputs and outputs are fully accessible for use, the exact implementation details are not viewable to prevent unauthorized replication. Users can still apply it to charts, customize visible parameters, and benefit from its no-repaint reliability. For collaboration or access requests, contact the author via Trading View messaging.
This is an original combination for clearer trend stats—fork and improve where possible!
Chart Fusion Line SND Detection by TitikSona🧭 Overview
Fusion Line Momentum Analyzer is a momentum visualization tool that introduces a unified model of oscillator fusion.
It blends Fast and Slow Stochastics with RSI into one adaptive curve, designed to eliminate conflicting signals between different momentum sources.
Instead of reading three separate oscillators, the Fusion Line provides a consolidated view of strength and exhaustion zones in a single framework.
This approach helps analysts detect aligned momentum shifts with greater clarity and less noise, without repainting or lagging methods.
⚙️ Core Concept
Traditional oscillators often provide conflicting readings when volatility changes.
To solve this, the Fusion Line averages three normalized components:
Fast Stochastic (12,3,3) — reacts quickly to short-term momentum spikes.
Slow Stochastic (100,8,8) — filters long-term momentum context.
RSI (26) — measures internal strength between buying and selling pressure.
Each is rescaled to a 0–100 range, then averaged into a single curve called the Fusion Line.
A secondary Signal Line (SMA 9) is added to visualize directional confirmation.
This combination aims to preserve responsiveness from the fast components while maintaining structural stability from the slow and RSI layers.
🌈 Features
Unified momentum curve combining stochastic and RSI dynamics.
Automatic bias shading to highlight dominant trend direction.
Real-time percentage strength meter (visual intensity).
Configurable alert triggers on key momentum zones (20/80).
Clean chart display without unnecessary elements or overlays.
📘 Interpretation
Rising Fusion Line → indicates strengthening bullish momentum.
Falling Fusion Line → indicates strengthening bearish pressure.
Fusion values below 20 → potential oversold recovery.
Fusion values above 80 → possible exhaustion or reversal zone.
Mid-zone movement → reflects equilibrium or sideways momentum.
These readings should always be combined with higher timeframe structure or volume confirmation for context.
⚙️ Default Parameters
Fast Stochastic (12,3,3)
Slow Stochastic (100,8,8)
RSI Length (26)
Signal Line Smoothing (9)
All values can be adjusted to adapt to asset volatility or timeframe conditions.
⚠️ Disclaimer
This indicator is a research and visualization tool, not a signal generator.
It does not predict price movement or guarantee performance.
Use for analytical purposes only and combine with your own trading framework.
👨💻 Developer
Created by TitikSona — Research & Fusion Concept Designer
Built using Pine Script v6
Type: Open-source educational script
💬 Short Description
Fusion-based momentum visualization combining Double Stochastic and RSI into one adaptive line for clearer, noise-free momentum analysis.
Rsi- bybitbot - JSON v3Backtesting based on the RSI indicator, based on the RSI length, RSI level, and the number of candles at the RSI level. Backtesting for monitoring in-points.
TDS9 Counting (Red & Blue, Offset Labels)Here’s a polished, **publication‑ready narrative** for your *TDS9 Counting (Red & Blue, Offset Labels)* indicator, written in the same style as the previous ones:
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**TDS9 Counting (Red & Blue, Offset Labels)**
This indicator implements a sequential counting method to help traders identify potential exhaustion points in ongoing trends. It tracks sequences of price closes relative to the prior 4 bars, building up to a **9‑count structure** that often signals areas where momentum may be weakening and a reversal or pause could occur.
The script automatically labels counts **6 through 9** directly on the chart, with clear **color‑coded markers**:
- **Red numbers** for downward sequences (bearish setups)
- **Dark blue numbers** for upward sequences (bullish setups)
- A **red “9”** highlights a potential exhaustion point in an uptrend, while a **blue “9”** marks exhaustion in a downtrend
To maintain chart clarity, labels are **offset slightly above or below candles** using dynamic spacing, ensuring signals remain visible without overlapping price action. This makes it easy to track the progression of counts in real time while keeping the chart clean and readable.
By combining structured sequential logic with intuitive visual cues, this tool helps traders:
- Monitor developing **trend exhaustion patterns**
- Anticipate potential **reversal or consolidation zones**
- Add a **systematic layer of confirmation** to existing strategies
- Keep charts uncluttered with offset, color‑coded labels
Whether you’re a discretionary trader looking for exhaustion confirmation or a systematic trader layering signals into a broader strategy, this indicator provides a **clear, structured framework** for spotting potential turning points in price action.
Trend Structure ★★ with Buy/Sell Signals (offset labels)Got it — here’s a more **expanded, publication‑ready description** for your *Trend Structure ★★ with Buy/Sell Signals (offset labels)* indicator. I’ve kept it professional, clear, and engaging so it works well on TradingView’s public library:
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**Trend Structure ★★ with Buy/Sell Signals (offset labels)**
This indicator is designed to give traders a structured view of market momentum by combining **short‑term (25 EMA)** and **long‑term (90 EMA)** exponential moving averages. It plots dual EMA bands on the chart, with shaded zones that visually highlight when price is trading outside of these ranges — making it easier to identify periods of strength, weakness, or potential exhaustion.
Beyond simple trend tracking, the script automatically generates **BUY** and **SELL** labels at key crossover points between price and the short‑term EMAs. These signals are intelligently offset using ATR‑based spacing, ensuring labels remain clear and uncluttered, even during volatile price action. This makes the chart more readable while still delivering actionable insights.
The indicator also includes a **title marker** for quick reference and a clean, color‑coded design that distinguishes short‑term and long‑term structures at a glance. By combining visual clarity with practical signal generation, this tool helps traders:
- Spot emerging trends early through EMA crossovers
- Confirm longer‑term momentum with dual EMA bands
- Receive uncluttered, offset Buy/Sell signals for better decision‑making
- Maintain a clean chart layout without sacrificing detail
Whether you’re a trend‑follower looking for confirmation, or a swing trader seeking timely entries and exits, this indicator provides a balanced mix of **structure, clarity, and actionable signals** to support your trading workflow.
MACD Divergence StructureMACD Divergence Structure Final
This indicator enhances the classic MACD by automatically detecting and labeling key divergence structures. It highlights bullish and bearish divergences, as well as potential sell tops and disappearing tops, directly on the chart. By combining EMA‑based MACD calculations with dynamic label plotting, it provides traders with clear, actionable signals to anticipate possible trend reversals or momentum shifts. Designed for flexibility and clarity, it helps traders quickly spot hidden market structure changes without cluttering the chart.
Wyckoff Accumulation / Distribution Detector (v3)🌱 Spring (Bullish Wyckoff Signature)
🧠 Definition
A Spring happens when price dips below a well-defined support level, usually near the end of an accumulation phase, then quickly reverses back above support.
This is not ordinary volatility — it's usually intentional by large operators (“Composite Man”) to:
Trigger stop-losses of weak holders
Create the illusion of a breakdown to scare late sellers in
Absorb all remaining supply at low prices
Launch the next markup leg once weak hands are flushed out
🧭 Typical Spring Characteristics
Feature Behavior
Location Near the bottom of a trading range after a decline
Price Action Temporary breakdown below support, then sharp reversal above
Volume Usually low to average on the break, indicating lack of real selling pressure. Sometimes a volume surge on the reversal as strong hands step in
Candle Often shows a long lower wick, closes back inside the range
Intent Shakeout of weak holders, allow institutions to accumulate more quietly
📈 Why It's Bullish
Springs typically mark the final test of supply. If price can dip below support and immediately recover, it means:
Selling pressure is exhausted (no follow-through)
Strong hands are absorbing remaining shares
A bullish breakout is often imminent
🪤 Upthrust (Bearish Wyckoff Signature)
🧠 Definition
An Upthrust is the mirror image of a Spring. It happens when price pokes above a resistance level, usually near the end of a distribution phase, but then fails to hold above it and falls back inside the range.
This is typically smart money distributing to eager buyers:
Late breakout traders pile in
Institutions sell into that strength
Price collapses back into the range, trapping breakout buyers
🧭 Typical Upthrust Characteristics
Feature Behavior
Location Near the top of a trading range after a rally
Price Action Temporary breakout above resistance, then quick reversal down
Volume Frequently low on the breakout, suggesting a lack of real buying interest — or sometimes high but with no progress, showing hidden selling
Candle Often shows a long upper wick, closes back inside the range
Intent Trap breakout buyers, provide liquidity for institutional sellers to unload near highs
📉 Why It's Bearish
Upthrusts show demand failure and supply swamping:
Buyers cannot sustain the breakout.
The sharp reversal signals large players are exiting.
Typically precedes markdown phases or sharp declines.
📝 Trading Implications
Spring → Often followed by a sign of strength rally → good long entry if confirmed with volume expansion and follow-through.
Upthrust → Often followed by a sign of weakness → short setups, especially if the next rally fails at lower highs.
The script looks for:
🌱 Spring:
Price makes a low below recent pivot support,
Closes back above,
Does so on low volume → likely a shakeout.
🪤 Upthrust:
Price makes a high above recent pivot resistance,
Closes back below,
On low volume → likely a bull trap.
Liquidity Map [DrewRS]Donations are welcome to keep building!!
paypal.me
Description
Liquidity Map highlights where recent swing highs/lows leave resting liquidity and shows when those pools are swept; pending zones keep their color while swept zones fade, so you can track which areas remain attractive for price.
Each pivot detection draws a horizontal line plus a tiny marker, with optional equal-high/low highlighting to emphasize double tops/bottoms that are often targeted; when price runs through the level the marker disappears and a “taken” dot is left behind.
Designed for discretionary traders who monitor liquidity grabs, imbalances, or SMT setups; works on any symbol or timeframe, though you may want tighter settings for intraday and wider ones for higher timeframes.
How It Works
Uses ta.pivothigh / ta.pivotlow to define swing points; every pivot draws a persistent level until price closes a candle beyond it.
Equal highs/lows within the chosen tick tolerance upgrade the level color for quick visual prioritization.
Liquidity sweeps shorten the line to the sweep bar, reduce opacity with the “Line opacity after sweep” control, and leave a colored dot so you can see which pool was taken.
Inputs
Left/Right pivot bars: increase for smoother swings, decrease for faster detection.
Equal high/low tolerance: small values flag only near-perfect doubles; larger tolerances bundle broader ranges.
Max levels per side: caps how many pending lines stay on chart to avoid clutter.
Plot marker when liquidity is taken: toggle sweep dots on/off.
Pending/Taken liquidity colors + Line opacity after sweep: adjust palette to fit your chart theme.
Tips
Combine with market-structure or order-block tools; pending liquidity often aligns with supply/demand zones.
For scalping, start with leftBars = 2, rightBars = 1, and a tighter tolerance; for swing trading, raise the bars and tolerance slightly.
Keep an eye on equal highs/lows that stack across timeframes—multiple confluences tend to attract price more aggressively.
PairTradingSignalsPair Trading Signals (PTS)
This indicator implements a mean-reversion strategy for pairs trading, focusing on divergences between the chart's primary symbol (e.g., QQQ for tech exposure) and a user-specified inverse or correlated secondary symbol (default: SPY for broad market proxy). It generates long-only entry and exit signals on the primary asset based on statistical deviations in their relative pricing, without requiring short positions or direct trading of the secondary symbol.
Core Concepts
Pairs Mean Reversion: The strategy exploits temporary mispricings in cointegrated assets. When the primary asset becomes "cheap" relative to the secondary (oversold spread), it enters a long position expecting convergence. Exits occur when the spread reverts to neutral or overbought levels.
Spread & Z-Score: The raw spread is calculated as Primary Close - (Hedge Ratio × Secondary Close), with a fixed hedge ratio of 1.5 to approximate relative volatility (e.g., beta adjustment). This is normalized to a Z-score over a lookback period, measuring deviations in standard deviations from the historical mean. Bounds (default ±2.0) define oversold/overbought thresholds—common in statistical arbitrage for 95% confidence intervals assuming normality.
ATR-Based Risk Controls: Entry levels incorporate Average True Range (ATR, default 14-period RMA smoothing) to set dynamic take-profit (TP = Entry + Upper Bound × ATR) and stop-loss (SL = Entry - |Lower Bound| × ATR) levels, scaling to volatility.
Signal Logic
Buy (Long Entry): Triggers when the Z-score crosses above the lower bound (-2.0) after entering an oversold state (Z < lower bound). This signals undervaluation of the primary relative to the secondary.
Sell (Exit): Triggers when the Z-score crosses below the upper bound (2.0) after entering an overbought state (Z > upper bound). Optional strict TP/SL enforcement closes positions at predefined levels.
Signals appear as labeled shapes (green BUY below bar, red SELL above). Short horizontal boxes mark TP (green) and SL (red) for visual reference.
Backtesting & Performance Metrics
Simulation Period: Trades only within user-defined start/end dates (default: Jan 2020–Dec 2030).
Position Sizing: Fixed allocation based on initial capital × entry percentage (default 100%), capped by available equity to enforce risk limits. Supports full compounding if desired via code tweak.
Metrics Table: Displays net profit, ROI (including/excluding unrealized P&L), win rate, trade counts, closed capital, total equity, and open position details (shares or current value). Recent trades logged in a separate table.
Equity Floor: Prevents capital from going below zero, simulating real-world drawdown limits.
Usage Guidelines
Symbol Setup: Apply to the primary asset's chart (e.g., QQQ). Set "Inverse Ticker" to a negatively or positively correlated pair (e.g., SPY for market hedge).
Parameter Tuning: Increase lookback (20+) for smoother signals; widen bounds (±3.0) for fewer, higher-conviction trades. Lower entry % reduces risk.
Best Practices: Use on daily/4H timeframes for swing trades. Combine with overall market trend filters. Backtest across regimes (e.g., bull/bear) to validate.
Limitations: Assumes mean reversion holds; performs poorly in trending divergences. No commissions/slippage modeled—adjust initial capital accordingly.
This approach draws from classic pairs trading literature (e.g., Gatev et al.'s distance method), adapted for single-asset execution via Z-score thresholds. For optimal results, ensure the pair exhibits cointegration (test via Engle-Granger if customizing).
MARITradesGold Indicator A - BUY AND SELL ModelThe MARITrades Gold Indicator A – BOS Model is a professional charting tool designed to help traders visually identify structure breaks (BOS) and potential Fibonacci retracement zones during key market sessions on XAU/USD.
It combines session timing filters, Break of Structure logic, and a WMA160 trend bias to help users study clean continuation or reversal setups with precision.
This indicator is intended for traders who are learning or refining their market structure and session-based gold strategy.
KEY FEATURES AND HOW TO USE
Apply the indicator to XAU/USD on a preferred timeframe
Wait for a Break of Structure (BOS) during valid session hours.
Watch for retracement into 0.5–0.618 Fib levels for possible continuation zones which are marked out with coloured lines. you can edit the colours to your preference
Confirm direction with Moving average160 trend bias.
Use Stop loss and take profit levels for educational visualization — not for direct trade execution.
you can keep the indicator free or lines which optional to view the BUY and SELL signals
📊 BOS Detection: Marks bullish or bearish structure breaks after key levels.
📈 Fibonacci Zones: Auto-calculates retracement zones and gives you signal bias
🕒 Session Filters: Includes Sydney, Asian, London, and New York session timing tools.
🧭 Trend Filter: Moving Average (MA160) helps define directional bias.
🧩 Clean Visualization: retracement zones, and structure markers for chart clarity.
🚨 Optional Alerts: Alerts can be added when structure breaks align with session filters.
EMAs de JahazielThis indicator displays seven Exponential Moving Averages (EMA 5, 6, 9, 20, 50, 100, and 200) to help identify short-, medium-, and long-term market trends.
When shorter EMAs (5, 6, 9) cross above longer EMAs (50, 100, 200), it suggests increasing bullish momentum and potential uptrend continuation.
Conversely, when shorter EMAs cross below longer EMAs, it indicates potential bearish momentum and a possible downtrend.
📈 The combination of these EMAs helps traders visualize market structure, momentum shifts, and key dynamic support/resistance levels.
🧠 Suitable for scalping, intraday trading, swing trading, or confirming higher time frame trends across any market — Forex, indices, crypto, or commodities.
The Crypteller LEVELSAutomatically shows key highs and lows from the previous day, week, and month — no need to mark them manually.
Keeps your chart clean — only the latest levels are visible.
Works on any timeframe, so you can instantly see where major liquidity sits.
🐼 Rani EMA-OBV Dual Signal💚 Panda EMA-OBV Dual Signal combines trend, momentum, and volume analysis to generate high-quality buy/sell signals.
It uses a multi-EMA ribbon to identify trend direction, RSI(14) to gauge market strength, and OBV divergence to confirm momentum shifts.
Ideal for XAUUSD and volatile assets on M5–H4 timeframes.
