Buy / Sell Volume + % (Classic + Pressure)Buy / Sell Volume % (Classic + Pressure)
Overview
Buy / Sell Volume (Classic + Pressure) is a volume decomposition and dominance indicator designed to help traders understand how trading volume is distributed between buying and selling pressure on each candle.
Instead of treating volume as a single number, this indicator splits total volume into estimated Buy Volume and Sell Volume, visualizes them symmetrically, and summarizes dominance using a compact on-chart dashboard.
The indicator is intended as a context and confirmation tool, not a trade signal generator.
Core Concepts
1. Buy / Sell Volume Decomposition
The indicator estimates buying and selling activity based on the position of the close within the candle’s high–low range:
Closes near the high → more buying pressure
Closes near the low → more selling pressure
Middle closes → balanced activity
This provides a clear visual view of demand vs supply on every bar.
2. Dual Calculation Modes
🔹 Classic Mode (Default)
Uses pure candle-range logic
Buy Volume + Sell Volume = Total Volume (exact conservation)
No smoothing or directional bias
Values closely match traditional volume behavior
Best for:
Structural analysis
Accumulation / distribution studies
Comparing against raw volume
🔹 Pressure Mode
Introduces a directional bias:
Bullish candles slightly favor buy volume
Bearish candles slightly favor sell volume
Optional EMA smoothing reduces noise
Still volume-conserving (Buy + Sell = Total Volume)
Best for:
Identifying dominance
Trend continuation confirmation
Absorption vs initiative activity
Visual Elements
Volume Bars
Buy Volume plotted above zero
Sell Volume plotted below zero
Optional Total Volume Envelope for context
Color by Dominance
Bright colors when one side dominates
Faded colors when dominance is weak
Helps instantly identify:
Accumulation
Distribution
Absorption
Dashboard (Optional)
A compact dashboard displays:
Buy %
Sell %
Dominance State
BUY DOM
SELL DOM
BALANCED
The dashboard can be toggled ON/OFF and switched between Normal and Compact size to suit multi-pane layouts.
How to Use This Indicator
This indicator works best as a confirmation layer, not a standalone system.
Common Use Cases
Confirming breakouts or breakdowns
Spotting accumulation or distribution near key levels
Identifying absorption during consolidations
Filtering false price moves
Examples
Price rising + strong Buy % → constructive demand
Price rising + strong Sell % → possible distribution
Flat price + balanced volume → absorption / compression
What This Indicator Is NOT
❌ Not true order-flow or bid/ask data
❌ Not a buy/sell signal generator
❌ Not predictive on its own
All calculations are candle-based estimations, designed for context and insight, not execution timing.
Best Use
Works on all timeframes
Most reliable on liquid instruments
Especially useful when combined with:
Support / resistance
Trend structure
Market regime or breadth indicators
Summary
Buy / Sell Volume (Classic + Pressure) helps traders go beyond raw volume by visualizing who is in control of each candle, how strong that control is, and whether volume behavior supports price action.
Used correctly, it can significantly improve trade selectivity, confidence, and risk awareness.
지표 및 전략
Hicham XAUUSD Key Levels PRO (Custom Series) V2🔑 XAUUSD Key Levels PRO | 1H / 4H Structure + Psychological Levels v2
This indicator is designed specifically for Gold (XAUUSD) traders who want clean, institutional-grade key levels without chart clutter.
It combines market structure levels with true psychological price levels used by institutions, making it ideal for scalping, intraday, and swing trading.
📌 Features
🔹 Market Structure Key Levels
Automatic 1H & 4H High / Low detection
Based on swing pivots (configurable strength)
Solid lines for clear structure visibility
🔹 Gold Psychological Levels (XAUUSD)
Major levels: every 500$ (strong institutional zones)
Medium levels: every 250$
Minor levels: every 10$
Dynamic levels around current price
No line spam, optimized performance
🔹 Visual Clarity
Solid / dashed / dotted line styles
Custom colors & line thickness
Optional price labels
Works perfectly on M1 → H4
🎯 Best Use Cases
Liquidity sweeps & reactions
Premium / discount zones
Stop-loss & take-profit placement
Confluence with BOS / CHoCH
London & New York sessions
⚙️ Fully Customizable
Toggle 1H / 4H levels
Adjust psychological level spacing
Enable / disable labels
Clean & lightweight (no lag)
⚠️ Notes
Optimized for XAUUSD (Gold)
Best results when combined with price action & structure
Not a trading signal indicator
If you want:
Session-based levels
Alerts on key levels
Smart Money Concepts integration
Feel free to comment or DM 👊
Happy trading 💛📈
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
hichamfata
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
ChanLun Structure: K/Fractals/Strokes/Segments/ZhongShuThis script implements the "line and center" concept of CHANLUN.
Intraday Volume Pulse GSK-VIZAG-AP-INDIA📊 Intraday Volume Pulse — by GSK-VIZAG-AP-INDIA
Overview:
This indicator displays a simple and effective intraday volume summary in table format, starting from a user-defined session time. It provides an approximate breakdown of buy volume, sell volume, cumulative delta, and total volume — all updated in real-time.
🧠 Key Features
✅ Session Start Control
Choose the session start hour and minute (default is 09:15 for NSE).
🌐 Timezone Selector
View volume data in your preferred timezone: IST, GMT, EST, CST, etc.
📈 Buy/Sell Volume Estimation Logic
Buy Volume: When candle closes above open
Sell Volume: When candle closes below open
Equal: Volume split equally if Open == Close
🔄 Daily Auto-Reset
All volume metrics reset at the start of a new trading day.
🎨 Color-Coded Volume Insights
Buy Volume: Green shade if positive
Sell Volume: Red shade if positive
Cumulative Delta: Dynamic red/green based on net pressure
Total Volume: Neutral gray with emphasis text
🧾 Readable Number Formatting
Volumes are displayed in "K", "L", and "Cr" units for easier readability.
📌 Table Positioning
Choose from top/bottom corners to best fit your layout.
⚠️ Note
All data shown is approximate and based on candle structure — it does not reflect actual order book or tick-level data. This is a visual estimation tool to guide real-time intraday decisions.
✍️ Signature
GSK-VIZAG-AP-INDIA
Creator of practical TradingView tools focused on volume dynamics and trader psychology.
SCOTTGO - RVOL Bull/Bear Painter (Real-Time) SCOTTGO - RVOL Bull/Bear Painter (Real-Time Momentum Detection)
📌Overview
The RVOL Bull/Bear Painter is a Pine Script indicator designed to instantly highlight high-momentum candles driven by significant Relative Volume (RVOL).
It provides a clear visual signal (bar color, shape, and label) when a candle's volume exceeds its average by a user-defined threshold, confirming strong bullish or bearish interest in real-time. This helps traders quickly identify potential institutional accumulation/distribution or breakout/breakdown attempts.
✨ Key Features
Relative Volume (RVOL) Calculation: Automatically calculates the ratio of the current bar's volume to its moving average (SMA or EMA) over a customizable lookback period.
Momentum Confirmation: Paints the candle green (bullish) or red (bearish) only when both price direction and high RVOL criteria are met.
Real-Time Detection: Uses a plotshape method to display the signal triangle as soon as the RVOL and direction conditions are met on the currently forming candle, aiming for faster alerts than bar-close coloring.
Customizable Threshold: Easily adjust the RVOL multiplier (e.g., 1.5x, 2.0x, 3.0x) to filter out noise and only focus on truly significant volume events.
Labels and Alerts: Displays a volume multiplier label (e.g., BULL 2.55x) and includes pre-configured alert conditions for automated notifications.
🛠️ How to Use It
1. Identify High-Conviction Moves
Look for the painted candles and the corresponding labels. A candle painted green with a BULL label (e.g., BULL 2.5x) indicates that buyers stepped in with 2.5 times the typical volume to drive the price higher.
2. Configure Your Sensitivity
The power of the script lies in customizing the inputs:
RVOL Lookback Period: Determines the length of the volume moving average.
Shorter periods (e.g., 9-20) make the indicator more reactive to recent volume changes.
Longer periods (e.g., 50-200) require a much larger volume spike to trigger a signal.
RVOL Threshold: This is the multiplier.
Lower values (e.g., 1.5) will generate more signals.
Higher values (e.g., 3.0) will generate fewer, but generally higher-conviction, signals.
3. Set Up Alerts
Use the pre-configured alert conditions (Bullish RVOL Signal and Bearish RVOL Signal) in TradingView's alert menu. Crucially, set the alert frequency to "Once per bar" or "Once per minute" to receive notifications as soon as the high RVOL event occurs, without waiting for the bar to close.
Vector Trinity indicator II: [Bottom: TTM Squeeze]**1. Introduction: The Engine of the System**
This indicator is **Part 2** of the "Vector Trinity" trading system. While Part I (Structure) defines *where* the price is, **Part II (Impulse)** defines *when* the move will happen and *how strong* it is.
It represents the **Time Dimension** of the system, focusing on momentum ignition and energy release.
* **I: Structure:** Spatial boundaries.
* **II: Impulse:** **Momentum velocity & Squeeze timing (Current Indicator).**
* **III: Flow:** Capital validation.
**2. Core Logic: Linear Regression Momentum**
Unlike standard momentum indicators (like MACD) which are based on Moving Averages and often lag significantly, **Vector Trinity II** utilizes **Linear Regression** on price deviations.
* **Math:** It calculates the distance between the price and the mean, then runs a linear regression to determine the angle of attack.
* **Benefit:** This provides a near-instantaneous reading of market "Velocity" and "Acceleration," reducing lag and allowing traders to see the turn before price fully commits.
**3. The "Squeeze" Mechanics (The Dots)**
The central line features dots that indicate the volatility state of the market:
* **🔴 Red Dot (Squeeze ON):** The Bollinger Bands have moved inside the Keltner Channels. Volatility is critically low. The market is storing energy like a compressed spring. **Action:** Wait. Do not trade yet.
* **🟢 Green Dot (Squeeze Fired):** The Bands have popped out of the Channels. The energy is releasing. **Action:** This is the "Ignition" signal. Look at the histogram color for direction.
**4. The 4-Color Momentum System**
The histogram bars are color-coded to tell the full story of the trend's lifecycle, not just direction:
* **Bullish Territory (Above 0):**
* **🟦 Cyan (Light Blue):** **Bullish Acceleration.** Buyers are aggressive. Momentum is increasing. (Best for entry).
* **🔷 Blue (Dark Blue):** **Bullish Deceleration.** Buyers are tired. Momentum is fading. (Prepare to take profit).
* **Bearish Territory (Below 0):**
* **🟥 Red:** **Bearish Acceleration.** Sellers are aggressive. Momentum is increasing. (Best for shorting).
* **🟨 Yellow:** **Bearish Deceleration.** Sellers are exhausted. Momentum is recovering towards zero. (Warning: Trend potential reversal).
**5. How to Use**
* **Step 1:** Look for **Red Dots** on the zero line. This identifies a high-potential setup building up.
* **Step 2:** Wait for the **First Green Dot**. This is the "Squeeze Fired" signal.
* **Step 3:** Confirm with the **Histogram Color**.
* If Green Dot + **Cyan Bar** = Long Signal.
* If Green Dot + **Red Bar** = Short Signal.
* **Advanced:** Use the **Yellow Bars** as an early warning to exit short positions before price actually reverses.
**Settings:**
* **Length:** 20 (Standard calculation period).
* **BB/KC Mult:** 2.0 / 1.5 (Standard ratios to define the Squeeze).
* **Smoothing:** Enabled (Default 3) to reduce noise and provide clearer color transitions.
---
### **中文说明**
**1. 简介：系统的核心引擎**
本指标是“矢量三位一体”交易系统的 **第二部分**。如果说第一部分 (Structure) 定义了价格*在哪里*，那么 **第二部分 (Impulse)** 则定义了行情*何时*启动以及力度*有多强*。
它代表了系统的 **时间维度**，专注于动能的点火与能量释放。
* **I: Structure 结构：** 空间边界。
* **II: Impulse 脉冲：** **动能速度与挤压时机（本指标）。**
* **III: Flow 流向：** 资金验证。
**2. 核心逻辑：线性回归动能**
传统的动能指标（如 MACD）通常基于移动平均线，存在显著的滞后性。**Vector Trinity II** 采用了基于价格偏离度的 **Linear Regression (线性回归)** 算法。
* **数学原理：** 它计算价格与均值的距离，并通过回归分析确定攻击的角度。
* **优势：** 这提供了几乎零滞后的市场“速度”与“加速度”读数，允许交易者在价格完全反转之前看到动能的拐点。
**3. “挤压”机制 (圆点信号)**
0轴上的圆点指示了市场的波动率状态：
* **🔴 红点 (Squeeze ON)：** 布林带完全进入了肯特纳通道内部。波动率极低。市场像被压缩的弹簧一样在积蓄能量。**操作：** 等待，不要急于进场。
* **🟢 绿点 (Squeeze Fired)：** 布林带扩张冲出通道。能量开始释放。**操作：** 这是“点火”信号。观察柱状图颜色以确定方向。
**4. 四色动能战术系统**
柱状图通过四种颜色讲述了趋势完整的生命周期，而不仅仅是涨跌：
* **多头区域 (0轴上方)：**
* **🟦 青色 (Cyan)：** **多头加速。** 买盘积极，动能增强。（最佳进场期）
* **🔷 蓝色 (Blue)：** **多头减速。** 买盘疲惫，动能衰减。（准备止盈）
* **空头区域 (0轴下方)：**
* **🟥 红色 (Red)：** **空头加速。** 卖盘积极，动能增强。（最佳做空期）
* **🟨 黄色 (Yellow)：** **空头减速。** 卖盘力竭，动能向0轴修复。（警告：趋势可能反转/抄底信号）
**5. 使用方法**
* **第一步：** 寻找0轴上的 **红点**。这标志着一个高爆发潜力的机会正在酝酿。
* **第二步：** 等待 **第一个绿点** 出现。这是“挤压释放/点火”的信号。
* **第三步：** 结合 **柱状图颜色** 确认。
* 绿点 + **青色柱** = 做多信号。
* 绿点 + **红色柱** = 做空信号。
* **进阶用法：** 利用 **黄色柱** 作为空单止盈的先行指标，往往在价格反弹之前，动能就已经变黄了。
**参数设置：**
* **Length (周期)：** 20 (标准计算周期)。
* **BB/KC Mult (倍数)：** 2.0 / 1.5 (定义挤压状态的标准比率)。
* **Smoothing (平滑)：** 开启 (默认3) 以减少噪音，提供更平滑的颜色转换体验。
All-in-One Momentum Composite The Four Components (and Why They're Chosen)
RSI (Relative Strength Index) – Classic overbought/oversold oscillator (14-period default). Measures speed and change of price movements.
Stochastic (%D line) – Smoothened momentum indicator that compares closing price to the price range over a period. Excellent at spotting reversals in ranging markets.
WaveTrend – Very popular in crypto and forex communities (originally by LazyBear). It’s essentially a momentum oscillator based on overbought/oversold channels, similar to a faster, smoother RSI/Stochastic hybrid. Known for early divergence signals and clean crossovers.
MACD Histogram – Captures momentum changes and trend strength via the difference between fast and slow EMAs. The histogram shows acceleration/deceleration.
Raeinex Momentum Liquidity IndexEntry arrow signals with volumetric momentum (buying and selling pressure) and the possibility to use all entry signals as liquidity area for price retest.
NCL Noise FilterOne of our Favorite Indicators - the NeoChartLabs Noise Filter.
FILTER OUT THE NOISE and focus on the moves that matter, toggle the settings to match your preference.
Or switch the Duration Setting to Institutional on a high timeframe (1W+) to locate great spot buying opportunities near cycle tops and bottoms.
Volume Filter: The volume filter automatically turns OFF when you switch to Major Macro Cycle or Institutional Baseline, as those high-timeframe structural breaks are often valid even on lower relative volume.
You can change the volume requirement by checking the volume of the current breakout bar against its Relative Volume (RVOL) - A setting of 0 turns this OFF.
A common professional standard is to require the breakout volume to be at least 1.5x to 2x higher than the 20-period average volume.
*we recommend using a higher volume setting on low timeframes under the 4HR to reduce false signals.
MTF Filter:
*we recommend to set at least 1 timeframe above your trade (i.e if you enter on the 2hour set to the 4 hour)
It prevents entering trades that are essentially minor pullbacks in a much larger opposing trend.
By integrating a higher timeframe EMA (e.g., a 200-period EMA from a 4x higher timeframe), you can filter out counter-trend trades that have a higher probability of failing.
ATR Filter:
Filters "Fake-Outs": It forces the price to not just "touch" the trendline, but to break it with enough force to clear the current average volatility.
Adaptive: Unlike a fixed pip/dollar amount, the ATR adjusts to the asset. On Bitcoin, the threshold might be $500; on a penny stock, it might be $0.05.
Bullish Cross: The price must close above the support trendline + (0.5 * ATR).
Bearish Cross: The price must close below the resistance trendline - (0.5 * ATR).
MACD Filter:
Bullish Crosses require the MACD Histogram to be increasing (showing positive momentum acceleration).
Bearish Crosses require the MACD Histogram to be decreasing (showing negative momentum acceleration).
RSI Filter:
Bullish Breakout (Cross of the lower/support trendline): You would want the RSI to be rising or above 50, showing that buyers are in control.
Bearish Breakdown (Cross of the upper/resistance trendline): You would want the RSI to be falling or below 50, showing sellers are in control.
Market Structure Shifts (CHoCH) - identifying Trends with bullish/bearish dashed horizontal lines for each CHoCH providing a cleaner visualization of the support or resistance level that price has just violated.
Duration Table for 1Week Charts
Trading Style Fractal Length (p) Pattern Span Confirmation Delay
Standard Swing 2 5 Weeks 2 Weeks
Intermediate Trend 5 11 Weeks 5 Weeks
Major Macro Cycle 10–20 21–41 Weeks 10–20 Weeks
Institutional Baseline 44 ~2 Years ~10 Months
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator
An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading.
📊 FEATURES
VWAP Distance Normalization
Context-aware fair value measurement:
Automatically resets based on selected anchor (Session/Week/Month)
ATR-normalized distance calculation for universal application
Identifies when price is extended or compressed relative to equilibrium
Configurable extreme distance threshold (default: 1.5 ATR)
Adjustable source input (default: HLC3)
Volume Delta Proxy
Bull vs Bear participation tracking:
Calculates volume imbalance between bullish and bearish candles
EMA smoothing for cleaner signal generation (default: 9 periods)
Delta ratio measurement to identify dominant side
Expansion/compression detection to gauge momentum commitment
Configurable expansion threshold (default: 1.3x)
Acceptance/Rejection State Machine
Real-time market regime identification with six distinct states:
🟢 Accepted Long
Price moving away from VWAP with expanding bullish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real buying pressure—trade WITH the move
🟢 Accepted Short
Price moving away from VWAP with expanding bearish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real selling pressure—trade WITH the move
🟠 Fade Long
Price extended beyond threshold (>1.5 ATR above VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion short setup
🟠 Fade Short
Price extended beyond threshold (>1.5 ATR below VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion long setup
⚪ Chop
Price compressed near VWAP
Bollinger Bands tight (width compressed)
Delta neutral—no clear commitment
NO TRADE ZONE—wait for expansion
⚪ Neutral
Transitional state between regimes
Momentum shifting but not yet confirmed
Monitor for next acceptance signal
Bollinger Bands
Standard volatility measurement with TradingView default styling:
Adjustable period length (default: 20)
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands for volatility context
Used internally for chop/compression detection
Live Dashboard
Real-time metrics display (top-right corner):
Current market state with color coding
VWAP distance in ATR units
Delta ratio (bull/bear volume balance)
Delta state (Expanding/Compressing)
High-contrast design for instant readability
🎯 HOW TO USE
For Trend Trading:
Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend
Strong moves typically travel 1-1.5 ATR from VWAP with delta support
Use VWAP as dynamic support/resistance
Combine with momentum indicators (MACD, RSI) for confluence
Price above VWAP + Accepted Long state = bullish bias
Price below VWAP + Accepted Short state = bearish bias
For Mean Reversion:
Fade Long/Short states signal overextension without participation
Price beyond 1.5 ATR from VWAP with weak delta = potential reversal
Look for price return to VWAP when extended
Bollinger Band extremes + Fade state = high-probability mean reversion setup
VWAP acts as mean reversion anchor during range-bound sessions
For Risk Management:
Chop state = avoid new entries
Bollinger Band compression + Chop = pre-expansion zone (wait for breakout)
Delta compression after strong move = early exhaustion warning
State transitions (Accepted → Neutral → Fade) = tighten stops
Signal Confirmation:
Strongest setups occur when multiple factors align:
BB breakout + Accepted state + price above/below VWAP
Price rejection at BB bands + Fade state
VWAP support/resistance hold + state transition
Delta expansion + distance increasing + trend direction
⚙️ SETTINGS
All components are fully customizable through organized input groups:
VWAP Distance Group:
VWAP source (default: HLC3)
Anchor period (Session/Week/Month)
ATR length for normalization (default: 14)
Extreme distance threshold in ATR multiples (default: 1.5)
Volume Delta Group:
Delta EMA length (default: 9)
Delta expansion threshold (default: 1.3)
Acceptance Logic Group:
Acceptance lookback period (default: 5)
Chop threshold in VWAP/ATR units (default: 0.3)
Bollinger Bands Group:
BB length (default: 20)
Standard deviation multiplier (default: 2.0)
Display Group:
Toggle state backgrounds
Toggle state change labels
Toggle VWAP line
Toggle Bollinger Bands
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How institutional money identifies fair value (VWAP)
The difference between price movement and market acceptance
Why volume participation matters more than price action alone
How to distinguish between noise and committed directional moves
The relationship between volatility compression and expansion cycles
Why distance from equilibrium predicts mean reversion probability
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
This is a filter, not a standalone trading system
No indicator is perfect—always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice—use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
No repainting—all signals are confirmed on bar close
Compatible with all timeframes and instruments
Optimized for smaller timeframes (1-5 minute charts)
Minimal computational overhead
📝 CHANGELOG
Version 1.0
Initial release
VWAP distance normalization with ATR scaling
Volume delta proxy system (bull/bear EMA)
6-state acceptance/rejection state machine
Bollinger Bands integration
Real-time dashboard with live metrics
State change labels and background coloring
Full customization options
Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
EMA SMA Rhythmic Lite Public V1.1 by SRTEMA SMA Rhythmic Lite Public V1.1 by SRT
A clean, lightweight trend-rhythm engine designed for traders of all levels. Built on a robust combination of EMAs and SMAs, this indicator provides clear directional bias signals while remaining fully non-repainting.
Key Features:
Multi-Timeframe Friendly: Works seamlessly on M1 to Daily (D) charts. MA stacking and signal logic automatically adapt to any timeframe.
Bias Detection: Determines bullish, bearish, or neutral market conditions using a 4-MA stack.
Engulfing Bar (EB) & Long-Tail Body (LTB) Detection: Highlights strong price action setups, filtered by body size and ATR-based thresholds.
Flush Markers: Visual cues showing where price aligns with MA stack for trend confirmation.
Bias Table: Displays current MA bias and presence of LTB on the chart for at-a-glance clarity.
Advanced Alerts:
Flush Alerts: Trigger when MA stack aligns with price, signaling trend continuation.
Combo Alerts: Trigger when EB or LTB appears in alignment with MA bias.
LTB-only Alerts: For monitoring significant price action reversals.
Customizable Visualization: Colors, widths, and visibility of all MAs, labels, and flush dots can be tailored to your preference.
Why Lite?
This is the most lightweight version in the SRT rhythm series, optimized for any timeframe, from scalping to swing trading. Perfect for traders who want a clear bias engine without unnecessary complexity.
If you like this EMA SMA Rhythmic Lite, you may also explore:
▶ H1 Bias Rhythmic Lite Public (Free)
▶ SRT Premium Series
Invite-only advanced indicators with stronger bias enforcement and execution frameworks.
ADX Trend IndicatorThe Average Directional Index (ADX) is commonly known in English as the "Trend Strength Indicator" or "ADX Trend Strength Indicator".It measures the strength of a trend (regardless of direction: up or down), not the direction itself. Traders often call it a "trending ADX" or simply "ADX for trend" when focusing on its role in identifying strong trending markets (typically when ADX > 25).Quick Overview in English:ADX > 25 — Strong trend (good for trend-following strategies).
ADX < 20 — Weak or no trend (ranging/sideways market; avoid trend trades).
It combines with +DI (positive directional indicator) and -DI (negative directional indicator) to also show trend direction.
GEX Levels// Trading View Script v1.2 with BMO Gamma Levels and Dashboard
// Tickers Updated at 12/16/2025, 13:46:13 GMT
// SPY, QQQ , IWM, VXX, UVXY, VIX
// AAPL, ABNB, AEHR, AFRM, AMD, AMZN
// BA, BABA, FB, GOOGL, JPM, LC, MSFT,
// NFLX, NVDA, ROKU, SNOW, SOFI, SQ
// TSLA, UPST, ZM, SOS, PLTR, FCEL
//@version=5
indicator(title='GEX Levels', overlay=true, max_labels_count=500)
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
src = input(close)
// Constants colours that include fully non-transparent option.
ticker = syminfo.ticker
chartType = session.extended
source = close
//=============== User inputs ==============================
plotHLines = input(title='Plot Gamma Levels', defval=true)
showMA = input(title='Plot EMAs', defval=false)
//=============== Data for Table =================================
DPLevel_1 = 418.11
DPLevel_1 := na
DPLevel_2 = 416.97
DPLevel_2 := na
plusLG_3 = 415.32
plusLG_3 := na
plusLG_2 = 416.67
plusLG_2 := na
minusLG_3 = 415.32
minusLG_3 := na
minusLG_2 = 416.67
minusLG_2 := na
plus_GEX = 155.00
plus_GEX := na
COI = 150.00
COI := na
POI = 150.00
POI := na
Pos_Trans = 149.00
Pos_Trans := na
Neg_Trans = 148.00
Neg_Trans := na
ZeroGEX = 148.00
ZeroGEX := na
minus_GEX = 145.00
minus_GEX := na
COTMC = 145.00
COTMC := na
CITMC = 145.00
CITMC := na
COTMP = 145.00
COTMP := na
CITMP = 145.00
CITMP := na
Ticker = 'IWM'
Ticker := na
ExpDtGreaterThan = '2021-09-08'
ExpDtGreaterThan := na
Spot_Price = 223.92
Spot_Price := na
EMA21 = 223.47
EMA21 := na
SMA50 = 221.91
SMA50 := na
COIPOI_Trend = 'True'
COIPOI_Trend := na
closeGTzeroGEX = 'True'
closeGTzeroGEX := na
closeLTposGEX = 'True'
closeLTposGEX := na
percentdistPosTrans = 1.0
percentdistNegTrans = 1.0
percentdistPlusGEX = 1.0
percentdistMinusGEX = 1.0
percentdistanceSMA50 = 1.0
percentdistanceEMA21 = 1.0
percentdistCOTMC = 1.0
percentdistCOTMP = 1.0
percentdistCITMP = 1.0
percentdistCITMC = 1.0
percentdistPosTrans := na
percentdistNegTrans := na
percentdistPlusGEX := na
percentdistMinusGEX := na
percentdistanceSMA50 := na
percentdistanceEMA21 := na
percentdistCOTMC := na
percentdistCOTMP := na
percentdistCITMP := na
percentdistCITMC := na
prev_daily_close = request.security(ticker, 'D', close )
// if condition is true then the hline plots
// --------------------------------
if ( ticker == "SPY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SPY
// 0 DTE Expirations Only
COTMC:= 690.00
COI:= 685.00
CITMP:= 684.42
plus_GEX:= 682.00
Pos_Trans:= 681.00
Spot_Price:= 680.05
POI:= 680.00
minus_GEX:= 680.00
Neg_Trans:= 680.00
ZeroGEX:= 680.00
EMA21:= 679.69
COTMP:= 677.70
SMA50:= 674.64
CITMC:= 630.23
if ( ticker == "QQQ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: QQQ
// 0 DTE Expirations Only
CITMP:= 620.53
COI:= 620.00
COTMC:= 619.30
EMA21:= 616.84
SMA50:= 613.56
plus_GEX:= 612.00
Pos_Trans:= 611.00
Neg_Trans:= 610.00
ZeroGEX:= 610.00
Spot_Price:= 609.50
minus_GEX:= 608.00
COTMP:= 607.89
POI:= 600.00
CITMC:= 549.05
if ( ticker == "IWM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: IWM
// 0 DTE Expirations Only
COI:= 255.00
COTMC:= 254.40
CITMP:= 254.20
plus_GEX:= 253.00
Pos_Trans:= 252.00
Neg_Trans:= 251.00
ZeroGEX:= 251.00
Spot_Price:= 250.81
COTMP:= 249.33
POI:= 249.00
minus_GEX:= 249.00
EMA21:= 248.25
SMA50:= 245.04
CITMC:= 239.44
if ( ticker == "NDX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NDX
// 0 DTE Expirations Only
COI:= 25600.00
CITMP:= 25560.60
EMA21:= 25335.01
COTMC:= 25317.29
SMA50:= 25209.24
plus_GEX:= 25200.00
Pos_Trans:= 25190.00
ZeroGEX:= 25155.00
Neg_Trans:= 25120.00
Spot_Price:= 25064.04
minus_GEX:= 25020.00
COTMP:= 24972.64
POI:= 24600.00
CITMC:= 23113.84
if ( ticker == "DIA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DIA
// 0 DTE Expirations Only
COI:= 495.00
plus_GEX:= 495.00
COTMC:= 493.68
CITMP:= 491.16
Pos_Trans:= 489.00
ZeroGEX:= 488.50
minus_GEX:= 488.00
Neg_Trans:= 488.00
Spot_Price:= 485.49
COTMP:= 483.75
EMA21:= 477.11
SMA50:= 471.27
CITMC:= 448.75
POI:= 425.00
if ( ticker == "SPX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SPX
// 0 DTE Expirations Only
COI:= 7075.00
CITMP:= 6935.65
COTMC:= 6915.55
plus_GEX:= 6860.00
Pos_Trans:= 6845.00
Neg_Trans:= 6840.00
ZeroGEX:= 6840.00
Spot_Price:= 6816.34
EMA21:= 6809.78
COTMP:= 6795.37
minus_GEX:= 6780.00
SMA50:= 6763.86
POI:= 6585.00
CITMC:= 5810.94
if ( ticker == "SPXP" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SPXP
// 0 DTE Expirations Only
COI:= 7075.00
CITMP:= 6896.02
plus_GEX:= 6860.00
COTMC:= 6858.25
Pos_Trans:= 6845.00
Neg_Trans:= 6840.00
ZeroGEX:= 6840.00
Spot_Price:= 6816.34
EMA21:= 6809.78
COTMP:= 6805.18
minus_GEX:= 6780.00
SMA50:= 6763.86
POI:= 6585.00
CITMC:= 6273.89
if ( ticker == "SPXA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SPXA
// 0 DTE Expirations Only
CITMP:= 6960.38
COTMC:= 6927.50
plus_GEX:= 6850.00
Pos_Trans:= 6835.00
Spot_Price:= 6816.34
EMA21:= 6809.78
COTMP:= 6790.64
minus_GEX:= 6780.00
Neg_Trans:= 6780.00
ZeroGEX:= 6780.00
SMA50:= 6763.86
CITMC:= 5735.12
COI:= 5000.00
POI:= 5000.00
if ( ticker == "VIX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: VIX
// 0 DTE Expirations Only
COI:= 60.00
plus_GEX:= 20.00
Pos_Trans:= 20.00
Neg_Trans:= 19.50
ZeroGEX:= 19.50
CITMP:= 18.97
SMA50:= 18.44
POI:= 18.00
minus_GEX:= 18.00
COTMC:= 17.90
EMA21:= 17.34
Spot_Price:= 16.48
COTMP:= 16.32
CITMC:= 14.87
if ( ticker == "BRK_B" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BRK_B
// 0 DTE Expirations Only
CITMP:= 516.19
COTMC:= 513.19
COI:= 510.00
plus_GEX:= 510.00
Spot_Price:= 505.61
COTMP:= 503.01
EMA21:= 500.63
Pos_Trans:= 497.50
SMA50:= 496.80
POI:= 495.00
minus_GEX:= 495.00
Neg_Trans:= 495.00
ZeroGEX:= 495.00
CITMC:= 426.03
if ( ticker == "AA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AA
// 0 DTE Expirations Only
COI:= 47.50
plus_GEX:= 47.50
COTMC:= 47.08
CITMP:= 46.61
Pos_Trans:= 46.50
ZeroGEX:= 46.00
Spot_Price:= 45.53
minus_GEX:= 45.00
Neg_Trans:= 45.00
COTMP:= 44.97
POI:= 43.00
EMA21:= 42.32
CITMC:= 39.18
SMA50:= 38.92
if ( ticker == "AAPL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AAPL
// 0 DTE Expirations Only
COI:= 300.00
COTMC:= 280.56
CITMP:= 280.07
plus_GEX:= 280.00
Pos_Trans:= 280.00
ZeroGEX:= 278.75
POI:= 277.50
minus_GEX:= 277.50
Neg_Trans:= 277.50
EMA21:= 276.03
Spot_Price:= 273.52
COTMP:= 271.52
SMA50:= 268.18
CITMC:= 226.86
if ( ticker == "ABBV" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ABBV
// 0 DTE Expirations Only
COI:= 240.00
plus_GEX:= 232.50
COTMC:= 231.00
CITMP:= 230.48
Spot_Price:= 227.41
SMA50:= 227.22
EMA21:= 226.47
COTMP:= 225.79
Pos_Trans:= 220.00
minus_GEX:= 217.50
Neg_Trans:= 217.50
ZeroGEX:= 217.50
CITMC:= 200.23
POI:= 185.00
if ( ticker == "ABNB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ABNB
// 0 DTE Expirations Only
COTMC:= 137.34
CITMP:= 136.95
Spot_Price:= 131.26
COI:= 130.00
plus_GEX:= 130.00
COTMP:= 129.46
Pos_Trans:= 128.00
ZeroGEX:= 124.00
CITMC:= 123.15
EMA21:= 123.12
SMA50:= 122.30
POI:= 120.00
minus_GEX:= 120.00
Neg_Trans:= 120.00
if ( ticker == "ACHR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ACHR
// 0 DTE Expirations Only
SMA50:= 9.68
COI:= 9.50
CITMP:= 9.37
plus_GEX:= 9.00
COTMC:= 8.75
Pos_Trans:= 8.50
EMA21:= 8.34
POI:= 8.00
minus_GEX:= 8.00
Neg_Trans:= 8.00
ZeroGEX:= 8.00
Spot_Price:= 7.76
COTMP:= 7.61
CITMC:= 5.81
if ( ticker == "ADBE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ADBE
// 0 DTE Expirations Only
COI:= 400.00
CITMP:= 373.35
COTMC:= 360.63
plus_GEX:= 360.00
Pos_Trans:= 352.50
ZeroGEX:= 350.00
Spot_Price:= 349.96
COTMP:= 346.08
minus_GEX:= 345.00
Neg_Trans:= 345.00
EMA21:= 337.18
SMA50:= 336.74
CITMC:= 310.75
POI:= 300.00
if ( ticker == "AFRM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AFRM
// 0 DTE Expirations Only
CITMP:= 72.66
SMA50:= 70.99
COI:= 70.00
POI:= 70.00
plus_GEX:= 70.00
COTMC:= 69.01
EMA21:= 68.80
Pos_Trans:= 68.00
Neg_Trans:= 67.50
ZeroGEX:= 67.50
Spot_Price:= 65.76
COTMP:= 64.00
minus_GEX:= 64.00
CITMC:= 47.37
if ( ticker == "AI" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AI
// 0 DTE Expirations Only
CITMP:= 17.94
SMA50:= 16.23
COI:= 15.50
plus_GEX:= 15.50
Pos_Trans:= 15.50
EMA21:= 15.12
POI:= 15.00
minus_GEX:= 15.00
Neg_Trans:= 15.00
ZeroGEX:= 15.00
COTMC:= 14.96
Spot_Price:= 14.54
COTMP:= 14.22
CITMC:= 11.07
if ( ticker == "ALAB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ALAB
// 0 DTE Expirations Only
COI:= 180.00
SMA50:= 166.41
CITMP:= 165.85
POI:= 165.00
EMA21:= 157.86
COTMC:= 156.79
plus_GEX:= 155.00
Pos_Trans:= 155.00
ZeroGEX:= 148.50
Spot_Price:= 143.44
Neg_Trans:= 142.00
COTMP:= 141.48
minus_GEX:= 140.00
CITMC:= 109.85
if ( ticker == "ALB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ALB
// 0 DTE Expirations Only
COI:= 140.00
plus_GEX:= 140.00
CITMP:= 137.32
COTMC:= 136.41
Spot_Price:= 133.01
Pos_Trans:= 133.00
COTMP:= 131.22
ZeroGEX:= 131.00
Neg_Trans:= 129.00
minus_GEX:= 126.00
EMA21:= 123.80
SMA50:= 108.67
CITMC:= 107.27
POI:= 60.00
if ( ticker == "AMD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AMD
// 0 DTE Expirations Only
COI:= 235.00
SMA50:= 230.98
CITMP:= 225.70
EMA21:= 220.21
plus_GEX:= 220.00
COTMC:= 219.08
Pos_Trans:= 212.50
minus_GEX:= 210.00
Neg_Trans:= 210.00
ZeroGEX:= 210.00
Spot_Price:= 207.16
COTMP:= 203.60
POI:= 180.00
CITMC:= 148.83
if ( ticker == "AMZN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AMZN
// 0 DTE Expirations Only
COI:= 260.00
CITMP:= 235.05
plus_GEX:= 235.00
EMA21:= 229.49
SMA50:= 229.22
COTMC:= 229.04
Pos_Trans:= 225.00
Spot_Price:= 223.30
Neg_Trans:= 222.50
ZeroGEX:= 222.50
COTMP:= 220.46
POI:= 220.00
minus_GEX:= 215.00
CITMC:= 183.13
if ( ticker == "ANET" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ANET
// 0 DTE Expirations Only
COI:= 170.00
plus_GEX:= 140.00
SMA50:= 138.89
CITMP:= 134.40
COTMC:= 132.11
EMA21:= 130.02
Pos_Trans:= 127.00
Spot_Price:= 126.48
Neg_Trans:= 126.00
ZeroGEX:= 126.00
minus_GEX:= 125.00
COTMP:= 124.52
POI:= 110.00
CITMC:= 98.55
if ( ticker == "ANF" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ANF
// 0 DTE Expirations Only
COTMC:= 123.43
CITMP:= 122.22
plus_GEX:= 120.00
Spot_Price:= 119.05
COTMP:= 118.08
Pos_Trans:= 116.00
minus_GEX:= 115.00
Neg_Trans:= 115.00
ZeroGEX:= 115.00
EMA21:= 95.07
CITMC:= 92.15
COI:= 85.00
SMA50:= 79.61
POI:= 60.00
if ( ticker == "APP" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: APP
// 0 DTE Expirations Only
COTMC:= 713.12
CITMP:= 703.23
COI:= 700.00
plus_GEX:= 700.00
Pos_Trans:= 692.50
ZeroGEX:= 691.25
minus_GEX:= 690.00
Neg_Trans:= 690.00
Spot_Price:= 674.00
COTMP:= 668.14
EMA21:= 646.74
SMA50:= 610.71
POI:= 530.00
CITMC:= 504.50
if ( ticker == "ARKK" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ARKK
// 0 DTE Expirations Only
COI:= 85.00
SMA50:= 83.28
CITMP:= 82.73
plus_GEX:= 82.50
COTMC:= 82.13
Pos_Trans:= 81.50
Neg_Trans:= 81.00
ZeroGEX:= 81.00
EMA21:= 80.47
Spot_Price:= 79.30
COTMP:= 78.72
minus_GEX:= 78.00
CITMC:= 72.41
POI:= 70.00
if ( ticker == "ARM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ARM
// 0 DTE Expirations Only
COI:= 180.00
SMA50:= 152.18
EMA21:= 138.82
CITMP:= 137.39
plus_GEX:= 134.00
Pos_Trans:= 133.00
COTMC:= 130.77
ZeroGEX:= 129.00
Neg_Trans:= 125.00
Spot_Price:= 124.00
COTMP:= 121.17
POI:= 120.00
minus_GEX:= 120.00
CITMC:= 94.13
if ( ticker == "ASHR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ASHR
// 0 DTE Expirations Only
COI:= 35.00
CITMP:= 33.49
plus_GEX:= 33.00
COTMC:= 32.89
EMA21:= 32.81
SMA50:= 32.79
Spot_Price:= 32.58
COTMP:= 32.51
Pos_Trans:= 32.50
minus_GEX:= 32.00
Neg_Trans:= 32.00
ZeroGEX:= 32.00
POI:= 31.00
CITMC:= 30.84
if ( ticker == "ASML" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ASML
// 0 DTE Expirations Only
CITMP:= 1145.72
COTMC:= 1106.23
COI:= 1100.00
plus_GEX:= 1100.00
Pos_Trans:= 1100.00
Spot_Price:= 1085.19
COTMP:= 1076.84
EMA21:= 1075.75
ZeroGEX:= 1075.00
Neg_Trans:= 1065.00
SMA50:= 1040.95
minus_GEX:= 1040.00
CITMC:= 864.87
POI:= 600.00
if ( ticker == "ASTS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ASTS
// 0 DTE Expirations Only
minus_GEX:= 80.00
COTMC:= 76.01
COI:= 75.00
CITMP:= 74.59
SMA50:= 71.27
plus_GEX:= 70.00
EMA21:= 68.31
Spot_Price:= 66.82
COTMP:= 65.63
POI:= 55.00
CITMC:= 40.56
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "AVGO" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AVGO
// 0 DTE Expirations Only
EMA21:= 376.69
SMA50:= 362.02
CITMP:= 360.22
COTMC:= 350.79
plus_GEX:= 350.00
Pos_Trans:= 347.50
Spot_Price:= 338.68
COTMP:= 335.39
COI:= 330.00
Neg_Trans:= 327.50
ZeroGEX:= 327.50
minus_GEX:= 325.00
POI:= 300.00
CITMC:= 232.52
if ( ticker == "AXP" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: AXP
// 0 DTE Expirations Only
COTMC:= 405.70
COI:= 392.50
plus_GEX:= 387.50
CITMP:= 384.53
Spot_Price:= 382.48
COTMP:= 379.68
Pos_Trans:= 375.00
ZeroGEX:= 373.75
minus_GEX:= 372.50
Neg_Trans:= 372.50
EMA21:= 367.33
SMA50:= 355.18
CITMC:= 314.91
POI:= 300.00
if ( ticker == "BA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BA
// 0 DTE Expirations Only
COI:= 215.00
CITMP:= 214.28
COTMC:= 211.44
plus_GEX:= 210.00
Spot_Price:= 205.19
SMA50:= 203.14
COTMP:= 202.88
Pos_Trans:= 200.00
EMA21:= 198.63
Neg_Trans:= 197.50
ZeroGEX:= 197.50
POI:= 190.00
minus_GEX:= 190.00
CITMC:= 180.41
if ( ticker == "BABA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BABA
// 0 DTE Expirations Only
COI:= 200.00
SMA50:= 164.44
plus_GEX:= 162.50
EMA21:= 158.25
CITMP:= 158.09
Pos_Trans:= 157.50
COTMC:= 155.20
Neg_Trans:= 155.00
ZeroGEX:= 155.00
Spot_Price:= 148.45
COTMP:= 146.21
minus_GEX:= 145.00
POI:= 140.00
CITMC:= 129.16
if ( ticker == "BAC" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BAC
// 0 DTE Expirations Only
CITMP:= 57.57
COTMC:= 56.61
Spot_Price:= 55.33
COI:= 55.00
plus_GEX:= 55.00
COTMP:= 54.93
Pos_Trans:= 54.00
ZeroGEX:= 53.75
EMA21:= 53.63
Neg_Trans:= 53.50
minus_GEX:= 53.00
SMA50:= 52.45
POI:= 50.00
CITMC:= 48.84
if ( ticker == "BE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BE
// 0 DTE Expirations Only
COI:= 130.00
SMA50:= 109.88
EMA21:= 105.64
CITMP:= 102.08
plus_GEX:= 100.00
Pos_Trans:= 95.00
COTMC:= 94.52
Neg_Trans:= 94.00
ZeroGEX:= 94.00
minus_GEX:= 90.00
Spot_Price:= 88.42
COTMP:= 88.33
CITMC:= 46.72
POI:= 40.00
if ( ticker == "BIDU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BIDU
// 0 DTE Expirations Only
COI:= 140.00
CITMP:= 126.95
COTMC:= 123.94
SMA50:= 123.09
EMA21:= 122.05
plus_GEX:= 120.00
Pos_Trans:= 120.00
Spot_Price:= 119.47
Neg_Trans:= 119.00
ZeroGEX:= 119.00
minus_GEX:= 118.00
COTMP:= 117.90
CITMC:= 101.18
POI:= 90.00
if ( ticker == "BMNR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BMNR
// 0 DTE Expirations Only
COTMC:= 54.55
plus_GEX:= 50.00
SMA50:= 42.13
COI:= 40.00
EMA21:= 35.47
Pos_Trans:= 34.00
ZeroGEX:= 33.50
CITMP:= 33.20
Spot_Price:= 31.69
COTMP:= 31.07
Neg_Trans:= 30.50
CITMC:= 26.53
POI:= 25.00
minus_GEX:= 25.00
if ( ticker == "BMY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BMY
// 0 DTE Expirations Only
CITMP:= 57.46
COTMC:= 55.57
Spot_Price:= 54.50
COTMP:= 54.07
plus_GEX:= 53.00
EMA21:= 50.02
COI:= 50.00
CITMC:= 48.81
Pos_Trans:= 48.50
minus_GEX:= 48.00
Neg_Trans:= 48.00
ZeroGEX:= 48.00
POI:= 47.00
SMA50:= 46.89
if ( ticker == "BX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: BX
// 0 DTE Expirations Only
CITMP:= 160.90
COI:= 160.00
COTMC:= 156.60
plus_GEX:= 155.00
Pos_Trans:= 152.50
SMA50:= 150.52
Spot_Price:= 150.50
POI:= 150.00
minus_GEX:= 150.00
Neg_Trans:= 150.00
ZeroGEX:= 150.00
EMA21:= 149.55
COTMP:= 148.37
CITMC:= 138.74
if ( ticker == "C" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: C
// 0 DTE Expirations Only
COTMC:= 115.75
plus_GEX:= 115.00
CITMP:= 113.97
Spot_Price:= 112.86
COTMP:= 112.05
COI:= 110.00
Pos_Trans:= 110.00
Neg_Trans:= 109.00
ZeroGEX:= 109.00
minus_GEX:= 108.00
EMA21:= 106.32
SMA50:= 101.41
POI:= 95.00
CITMC:= 89.87
if ( ticker == "CART" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CART
// 0 DTE Expirations Only
CITMP:= 47.26
COTMC:= 46.92
plus_GEX:= 46.00
Spot_Price:= 45.25
COTMP:= 44.88
Pos_Trans:= 43.00
EMA21:= 42.80
minus_GEX:= 42.50
Neg_Trans:= 42.50
ZeroGEX:= 42.50
CITMC:= 42.36
SMA50:= 40.11
COI:= 40.00
POI:= 35.00
if ( ticker == "CAT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CAT
// 0 DTE Expirations Only
COI:= 630.00
COTMC:= 605.13
CITMP:= 603.24
plus_GEX:= 600.00
Pos_Trans:= 595.00
ZeroGEX:= 592.50
Spot_Price:= 590.74
COTMP:= 587.37
EMA21:= 583.80
Neg_Trans:= 577.50
minus_GEX:= 572.50
SMA50:= 554.97
POI:= 490.00
CITMC:= 463.05
if ( ticker == "CAVA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CAVA
// 0 DTE Expirations Only
CITMP:= 59.56
COI:= 57.00
plus_GEX:= 55.00
Pos_Trans:= 55.00
SMA50:= 54.91
COTMC:= 54.15
Spot_Price:= 52.05
ZeroGEX:= 52.00
EMA21:= 51.98
COTMP:= 51.39
minus_GEX:= 50.00
Neg_Trans:= 50.00
CITMC:= 47.01
POI:= 40.00
if ( ticker == "CCJ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CCJ
// 0 DTE Expirations Only
COI:= 100.00
CITMP:= 94.23
COTMC:= 92.01
EMA21:= 90.41
SMA50:= 90.30
plus_GEX:= 90.00
Pos_Trans:= 90.00
Spot_Price:= 89.35
Neg_Trans:= 89.00
ZeroGEX:= 89.00
COTMP:= 88.54
minus_GEX:= 85.00
POI:= 70.00
CITMC:= 64.50
if ( ticker == "CEG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CEG
// 0 DTE Expirations Only
COI:= 372.50
plus_GEX:= 372.50
CITMP:= 371.63
COTMC:= 369.78
SMA50:= 365.10
Pos_Trans:= 365.00
ZeroGEX:= 362.50
EMA21:= 359.39
Spot_Price:= 358.13
Neg_Trans:= 357.50
COTMP:= 351.74
POI:= 350.00
minus_GEX:= 350.00
CITMC:= 300.99
if ( ticker == "CELH" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CELH
// 0 DTE Expirations Only
SMA50:= 51.26
CITMP:= 49.73
COTMC:= 46.51
EMA21:= 44.00
Spot_Price:= 43.85
plus_GEX:= 43.00
COTMP:= 42.97
Pos_Trans:= 42.50
Neg_Trans:= 42.00
ZeroGEX:= 42.00
minus_GEX:= 41.00
POI:= 40.00
CITMC:= 37.41
COI:= 36.00
if ( ticker == "CLS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CLS
// 0 DTE Expirations Only
COI:= 360.00
EMA21:= 321.53
CITMP:= 315.09
COTMC:= 310.97
SMA50:= 306.06
Spot_Price:= 298.40
minus_GEX:= 297.50
COTMP:= 294.57
plus_GEX:= 280.00
CITMC:= 195.74
POI:= 45.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "CMCSA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CMCSA
// 0 DTE Expirations Only
CITMP:= 33.08
COI:= 30.00
COTMC:= 29.10
plus_GEX:= 28.50
Spot_Price:= 28.30
SMA50:= 28.12
COTMP:= 28.01
EMA21:= 27.37
CITMC:= 27.28
Pos_Trans:= 27.00
minus_GEX:= 26.50
Neg_Trans:= 26.50
ZeroGEX:= 26.50
POI:= 25.00
if ( ticker == "CMG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CMG
// 0 DTE Expirations Only
CITMP:= 38.67
COI:= 37.50
minus_GEX:= 37.50
COTMC:= 37.12
Spot_Price:= 35.93
SMA50:= 35.67
COTMP:= 35.54
plus_GEX:= 35.00
EMA21:= 34.09
CITMC:= 33.15
POI:= 27.50
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "COF" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: COF
// 0 DTE Expirations Only
COTMC:= 243.74
COI:= 240.00
plus_GEX:= 240.00
Pos_Trans:= 240.00
Spot_Price:= 239.81
COTMP:= 237.82
ZeroGEX:= 236.25
CITMP:= 235.92
minus_GEX:= 232.50
Neg_Trans:= 232.50
EMA21:= 226.36
CITMC:= 218.77
SMA50:= 218.28
POI:= 175.00
if ( ticker == "COIN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: COIN
// 0 DTE Expirations Only
COI:= 500.00
SMA50:= 306.66
CITMP:= 290.70
plus_GEX:= 275.00
EMA21:= 273.49
Pos_Trans:= 270.00
COTMC:= 269.05
Spot_Price:= 253.95
Neg_Trans:= 252.50
ZeroGEX:= 252.50
COTMP:= 250.73
minus_GEX:= 250.00
CITMC:= 138.70
POI:= 100.00
if ( ticker == "CORZ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CORZ
// 0 DTE Expirations Only
COI:= 30.00
SMA50:= 17.94
CITMP:= 17.24
EMA21:= 16.83
COTMC:= 15.99
Spot_Price:= 15.20
COTMP:= 15.04
plus_GEX:= 15.00
Pos_Trans:= 15.00
Neg_Trans:= 14.50
ZeroGEX:= 14.50
minus_GEX:= 14.00
CITMC:= 12.09
POI:= 10.00
if ( ticker == "COST" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: COST
// 0 DTE Expirations Only
SMA50:= 915.28
CITMP:= 902.76
EMA21:= 896.32
COTMC:= 869.23
COI:= 865.00
plus_GEX:= 865.00
Pos_Trans:= 865.00
Spot_Price:= 860.51
Neg_Trans:= 860.00
ZeroGEX:= 860.00
COTMP:= 856.16
POI:= 850.00
minus_GEX:= 850.00
CITMC:= 774.17
if ( ticker == "CRCL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CRCL
// 0 DTE Expirations Only
COTMC:= 107.90
SMA50:= 105.74
CITMP:= 92.08
COI:= 90.00
plus_GEX:= 90.00
EMA21:= 85.72
Pos_Trans:= 80.00
Spot_Price:= 77.08
ZeroGEX:= 77.00
COTMP:= 76.03
Neg_Trans:= 68.50
CITMC:= 68.36
POI:= 68.00
minus_GEX:= 68.00
if ( ticker == "CRDO" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CRDO
// 0 DTE Expirations Only
EMA21:= 160.72
SMA50:= 156.28
CITMP:= 155.09
POI:= 155.00
COTMC:= 150.09
COI:= 150.00
Spot_Price:= 141.28
minus_GEX:= 140.00
plus_GEX:= 139.00
COTMP:= 138.93
CITMC:= 98.36
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "CRM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CRM
// 0 DTE Expirations Only
COI:= 290.00
CITMP:= 271.34
plus_GEX:= 260.00
Pos_Trans:= 260.00
ZeroGEX:= 258.75
COTMC:= 258.36
Neg_Trans:= 257.50
minus_GEX:= 255.00
Spot_Price:= 252.45
COTMP:= 249.49
EMA21:= 248.86
SMA50:= 246.04
CITMC:= 227.74
POI:= 220.00
if ( ticker == "CRWD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CRWD
// 0 DTE Expirations Only
COI:= 550.00
SMA50:= 516.92
EMA21:= 513.16
CITMP:= 512.06
COTMC:= 506.02
POI:= 500.00
plus_GEX:= 500.00
Pos_Trans:= 500.00
Neg_Trans:= 497.50
ZeroGEX:= 497.50
Spot_Price:= 487.00
COTMP:= 481.34
minus_GEX:= 470.00
CITMC:= 390.12
if ( ticker == "CRWV" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CRWV
// 0 DTE Expirations Only
SMA50:= 105.07
COI:= 95.00
plus_GEX:= 95.00
Pos_Trans:= 88.00
CITMP:= 85.40
COTMC:= 85.35
EMA21:= 84.76
ZeroGEX:= 77.50
Neg_Trans:= 73.00
Spot_Price:= 71.90
minus_GEX:= 70.00
COTMP:= 69.94
CITMC:= 61.64
POI:= 60.00
if ( ticker == "CVNA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CVNA
// 0 DTE Expirations Only
COI:= 500.00
plus_GEX:= 500.00
Pos_Trans:= 465.00
COTMC:= 464.44
CITMP:= 456.19
Spot_Price:= 451.00
ZeroGEX:= 447.50
COTMP:= 444.70
Neg_Trans:= 417.50
minus_GEX:= 415.00
EMA21:= 400.29
SMA50:= 355.43
CITMC:= 353.77
POI:= 250.00
if ( ticker == "CVS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CVS
// 0 DTE Expirations Only
CITMP:= 81.38
COTMC:= 80.80
COI:= 80.00
plus_GEX:= 80.00
Pos_Trans:= 80.00
Spot_Price:= 79.64
COTMP:= 78.98
SMA50:= 78.95
EMA21:= 78.44
Neg_Trans:= 77.50
ZeroGEX:= 77.50
POI:= 77.00
minus_GEX:= 77.00
CITMC:= 66.75
if ( ticker == "CVX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: CVX
// 0 DTE Expirations Only
COI:= 170.00
SMA50:= 152.75
plus_GEX:= 152.50
Pos_Trans:= 152.50
CITMP:= 152.45
COTMC:= 151.48
EMA21:= 151.10
Neg_Trans:= 150.00
ZeroGEX:= 150.00
minus_GEX:= 149.00
Spot_Price:= 148.88
COTMP:= 147.57
CITMC:= 137.40
POI:= 125.00
if ( ticker == "DAL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DAL
// 0 DTE Expirations Only
COTMC:= 74.07
plus_GEX:= 72.50
Spot_Price:= 71.55
CITMP:= 70.81
COTMP:= 70.73
Pos_Trans:= 69.00
ZeroGEX:= 68.00
minus_GEX:= 67.00
Neg_Trans:= 67.00
EMA21:= 65.41
COI:= 62.50
SMA50:= 61.07
CITMC:= 59.98
POI:= 50.00
if ( ticker == "DASH" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DASH
// 0 DTE Expirations Only
minus_GEX:= 250.00
COTMC:= 238.15
CITMP:= 236.71
SMA50:= 233.39
Spot_Price:= 227.21
plus_GEX:= 225.00
COTMP:= 224.44
COI:= 220.00
EMA21:= 219.07
CITMC:= 187.40
POI:= 180.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "DDOG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DDOG
// 0 DTE Expirations Only
SMA50:= 162.62
COI:= 160.00
plus_GEX:= 160.00
Pos_Trans:= 160.00
ZeroGEX:= 157.50
EMA21:= 156.54
POI:= 155.00
CITMP:= 154.02
Neg_Trans:= 150.00
COTMC:= 147.80
minus_GEX:= 145.00
Spot_Price:= 142.78
COTMP:= 139.61
CITMC:= 121.98
if ( ticker == "DELL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DELL
// 0 DTE Expirations Only
COI:= 160.00
SMA50:= 143.47
plus_GEX:= 140.00
Pos_Trans:= 136.00
CITMP:= 135.75
EMA21:= 135.59
ZeroGEX:= 135.00
COTMC:= 134.21
minus_GEX:= 130.00
Neg_Trans:= 130.00
Spot_Price:= 129.75
COTMP:= 127.10
POI:= 120.00
CITMC:= 106.48
if ( ticker == "DIS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DIS
// 0 DTE Expirations Only
CITMP:= 116.64
COI:= 115.00
COTMC:= 113.44
plus_GEX:= 112.00
Spot_Price:= 111.06
COTMP:= 110.09
Pos_Trans:= 110.00
SMA50:= 109.38
Neg_Trans:= 109.00
ZeroGEX:= 109.00
EMA21:= 107.94
POI:= 105.00
minus_GEX:= 105.00
CITMC:= 102.49
if ( ticker == "DJT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DJT
// 0 DTE Expirations Only
COI:= 20.00
CITMP:= 15.39
POI:= 14.00
SMA50:= 13.48
EMA21:= 11.46
plus_GEX:= 11.00
Pos_Trans:= 11.00
COTMC:= 10.79
Neg_Trans:= 10.50
ZeroGEX:= 10.50
Spot_Price:= 10.45
COTMP:= 10.27
minus_GEX:= 10.00
CITMC:= 9.48
if ( ticker == "DKNG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DKNG
// 0 DTE Expirations Only
COI:= 55.00
CITMP:= 38.63
COTMC:= 37.51
plus_GEX:= 36.00
Spot_Price:= 35.57
COTMP:= 34.99
Pos_Trans:= 34.00
EMA21:= 33.53
Neg_Trans:= 33.50
ZeroGEX:= 33.50
POI:= 33.00
minus_GEX:= 33.00
CITMC:= 32.54
SMA50:= 32.40
if ( ticker == "DUOL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DUOL
// 0 DTE Expirations Only
SMA50:= 242.85
COI:= 240.00
CITMP:= 221.89
EMA21:= 199.11
COTMC:= 195.72
minus_GEX:= 190.00
Spot_Price:= 186.70
COTMP:= 183.08
plus_GEX:= 175.00
CITMC:= 159.95
POI:= 145.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "DXCM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: DXCM
// 0 DTE Expirations Only
COI:= 100.00
CITMP:= 71.78
COTMC:= 69.17
Spot_Price:= 65.40
minus_GEX:= 65.00
EMA21:= 64.55
COTMP:= 64.38
SMA50:= 64.08
plus_GEX:= 63.00
CITMC:= 60.91
POI:= 55.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "EBAY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: EBAY
// 0 DTE Expirations Only
CITMP:= 87.52
SMA50:= 86.79
COTMC:= 85.37
plus_GEX:= 85.00
Pos_Trans:= 85.00
Neg_Trans:= 84.00
ZeroGEX:= 84.00
EMA21:= 83.62
Spot_Price:= 83.09
minus_GEX:= 83.00
COTMP:= 82.35
COI:= 75.00
POI:= 75.00
CITMC:= 70.89
if ( ticker == "EEM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: EEM
// 0 DTE Expirations Only
COI:= 58.00
plus_GEX:= 55.00
Pos_Trans:= 54.50
SMA50:= 54.48
EMA21:= 54.43
Neg_Trans:= 54.00
ZeroGEX:= 54.00
CITMP:= 53.92
COTMC:= 53.39
minus_GEX:= 53.00
Spot_Price:= 52.97
COTMP:= 52.81
CITMC:= 49.33
POI:= 44.00
if ( ticker == "EFA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: EFA
// 0 DTE Expirations Only
CITMP:= 98.16
COI:= 98.00
plus_GEX:= 98.00
Pos_Trans:= 96.50
Neg_Trans:= 96.00
ZeroGEX:= 96.00
COTMC:= 95.99
EMA21:= 95.38
Spot_Price:= 95.15
minus_GEX:= 95.00
COTMP:= 94.77
SMA50:= 94.67
CITMC:= 93.44
POI:= 87.00
if ( ticker == "ELF" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ELF
// 0 DTE Expirations Only
SMA50:= 100.57
CITMP:= 94.82
COI:= 90.00
plus_GEX:= 85.00
COTMC:= 83.14
Pos_Trans:= 81.00
EMA21:= 80.61
POI:= 80.00
Spot_Price:= 78.35
minus_GEX:= 77.00
Neg_Trans:= 77.00
ZeroGEX:= 77.00
COTMP:= 76.83
CITMC:= 69.51
if ( ticker == "ENPH" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ENPH
// 0 DTE Expirations Only
CITMP:= 38.14
COI:= 35.00
POI:= 35.00
COTMC:= 34.24
plus_GEX:= 33.00
SMA50:= 32.06
Spot_Price:= 31.58
Pos_Trans:= 31.00
COTMP:= 30.97
EMA21:= 30.69
Neg_Trans:= 30.50
ZeroGEX:= 30.50
minus_GEX:= 30.00
CITMC:= 28.18
if ( ticker == "EQT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: EQT
// 0 DTE Expirations Only
COI:= 62.50
EMA21:= 57.78
CITMP:= 56.91
SMA50:= 56.69
COTMC:= 56.60
plus_GEX:= 56.00
Pos_Trans:= 56.00
ZeroGEX:= 55.50
minus_GEX:= 55.00
Neg_Trans:= 55.00
Spot_Price:= 54.80
COTMP:= 54.00
CITMC:= 47.06
POI:= 45.00
if ( ticker == "ETHA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ETHA
// 0 DTE Expirations Only
COI:= 35.00
CITMP:= 27.05
SMA50:= 26.59
plus_GEX:= 24.00
EMA21:= 23.86
COTMC:= 23.40
Pos_Trans:= 22.50
Spot_Price:= 22.22
Neg_Trans:= 22.00
ZeroGEX:= 22.00
COTMP:= 21.94
minus_GEX:= 20.00
CITMC:= 15.78
POI:= 6.00
if ( ticker == "ETSY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ETSY
// 0 DTE Expirations Only
COI:= 80.00
SMA50:= 61.71
CITMP:= 59.42
COTMC:= 56.02
EMA21:= 55.24
plus_GEX:= 55.00
Pos_Trans:= 54.00
Spot_Price:= 53.13
Neg_Trans:= 53.00
ZeroGEX:= 53.00
COTMP:= 52.17
POI:= 50.00
minus_GEX:= 50.00
CITMC:= 46.82
if ( ticker == "EWZ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: EWZ
// 0 DTE Expirations Only
CITMP:= 37.06
COI:= 35.00
POI:= 35.00
COTMC:= 34.57
plus_GEX:= 34.00
Spot_Price:= 33.59
COTMP:= 33.37
Pos_Trans:= 33.00
EMA21:= 32.96
Neg_Trans:= 32.50
ZeroGEX:= 32.50
minus_GEX:= 32.00
CITMC:= 31.96
SMA50:= 31.74
if ( ticker == "FCX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: FCX
// 0 DTE Expirations Only
COTMC:= 49.38
CITMP:= 49.26
Spot_Price:= 47.55
COI:= 47.00
plus_GEX:= 47.00
Pos_Trans:= 47.00
ZeroGEX:= 46.75
COTMP:= 46.61
minus_GEX:= 46.50
Neg_Trans:= 46.50
EMA21:= 44.15
CITMC:= 42.75
SMA50:= 42.05
POI:= 40.00
if ( ticker == "FSLR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: FSLR
// 0 DTE Expirations Only
COTMC:= 285.57
CITMP:= 271.29
EMA21:= 258.37
Spot_Price:= 254.92
SMA50:= 250.46
COI:= 250.00
plus_GEX:= 250.00
Pos_Trans:= 250.00
COTMP:= 249.09
ZeroGEX:= 247.50
Neg_Trans:= 237.50
minus_GEX:= 230.00
CITMC:= 217.73
POI:= 200.00
if ( ticker == "FTNT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: FTNT
// 0 DTE Expirations Only
CITMP:= 88.31
COI:= 85.00
plus_GEX:= 85.00
COTMC:= 84.76
SMA50:= 83.26
EMA21:= 82.48
Spot_Price:= 81.48
POI:= 80.00
Pos_Trans:= 80.00
COTMP:= 79.96
minus_GEX:= 79.00
Neg_Trans:= 79.00
ZeroGEX:= 79.00
CITMC:= 74.71
if ( ticker == "FUTU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: FUTU
// 0 DTE Expirations Only
COI:= 180.00
plus_GEX:= 175.00
Pos_Trans:= 175.00
SMA50:= 173.29
Neg_Trans:= 172.50
ZeroGEX:= 172.50
CITMP:= 172.23
EMA21:= 171.09
COTMC:= 167.59
minus_GEX:= 165.00
Spot_Price:= 161.59
COTMP:= 160.28
POI:= 140.00
CITMC:= 103.00
if ( ticker == "FXI" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: FXI
// 0 DTE Expirations Only
COI:= 42.00
SMA50:= 39.85
EMA21:= 39.38
plus_GEX:= 39.00
Pos_Trans:= 39.00
CITMP:= 38.97
Neg_Trans:= 38.50
ZeroGEX:= 38.50
COTMC:= 38.46
minus_GEX:= 38.00
Spot_Price:= 37.91
COTMP:= 37.62
CITMC:= 35.81
POI:= 30.00
if ( ticker == "GDX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GDX
// 0 DTE Expirations Only
minus_GEX:= 87.00
COTMC:= 86.71
CITMP:= 86.34
plus_GEX:= 85.00
Spot_Price:= 84.86
COTMP:= 84.45
EMA21:= 80.73
SMA50:= 77.20
COI:= 75.00
POI:= 65.00
CITMC:= 63.02
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "GDXJ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GDXJ
// 0 DTE Expirations Only
CITMP:= 120.51
COTMC:= 118.88
Spot_Price:= 112.41
COTMP:= 111.67
plus_GEX:= 108.00
Pos_Trans:= 108.00
ZeroGEX:= 107.50
minus_GEX:= 107.00
Neg_Trans:= 107.00
EMA21:= 105.97
COI:= 105.00
SMA50:= 100.67
CITMC:= 92.31
POI:= 90.00
if ( ticker == "GEV" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GEV
// 0 DTE Expirations Only
COTMC:= 710.09
CITMP:= 704.00
plus_GEX:= 700.00
Pos_Trans:= 690.00
Spot_Price:= 689.59
COTMP:= 681.07
ZeroGEX:= 677.50
Neg_Trans:= 667.50
minus_GEX:= 655.00
COI:= 650.00
EMA21:= 627.11
SMA50:= 598.92
CITMC:= 566.94
POI:= 480.00
if ( ticker == "GLD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GLD
// 0 DTE Expirations Only
COI:= 410.00
COTMC:= 401.84
plus_GEX:= 400.00
Pos_Trans:= 399.00
CITMP:= 396.58
Spot_Price:= 396.06
COTMP:= 394.88
Neg_Trans:= 394.00
ZeroGEX:= 394.00
minus_GEX:= 392.00
POI:= 390.00
EMA21:= 385.45
SMA50:= 378.72
CITMC:= 352.61
if ( ticker == "GLW" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GLW
// 0 DTE Expirations Only
COI:= 100.00
CITMP:= 91.34
COTMC:= 90.42
plus_GEX:= 90.00
Pos_Trans:= 90.00
COTMP:= 89.35
ZeroGEX:= 89.00
Spot_Price:= 88.05
minus_GEX:= 87.00
Neg_Trans:= 87.00
EMA21:= 86.97
SMA50:= 85.88
POI:= 85.00
CITMC:= 66.16
if ( ticker == "GM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GM
// 0 DTE Expirations Only
COTMC:= 85.17
CITMP:= 82.95
Spot_Price:= 82.14
COTMP:= 81.65
plus_GEX:= 81.00
Pos_Trans:= 78.00
ZeroGEX:= 77.75
minus_GEX:= 77.50
Neg_Trans:= 77.50
EMA21:= 75.17
COI:= 75.00
SMA50:= 68.54
POI:= 65.00
CITMC:= 64.42
if ( ticker == "GME" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GME
// 0 DTE Expirations Only
CITMP:= 26.41
COI:= 25.00
COTMC:= 23.27
plus_GEX:= 23.00
SMA50:= 22.37
Spot_Price:= 22.18
EMA21:= 22.11
POI:= 22.00
COTMP:= 21.71
Pos_Trans:= 21.50
minus_GEX:= 21.00
Neg_Trans:= 21.00
ZeroGEX:= 21.00
CITMC:= 20.04
if ( ticker == "GOOG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GOOG
// 0 DTE Expirations Only
COI:= 320.00
CITMP:= 317.64
COTMC:= 316.69
plus_GEX:= 315.00
Pos_Trans:= 310.00
Spot_Price:= 308.63
EMA21:= 307.79
COTMP:= 307.67
Neg_Trans:= 302.50
ZeroGEX:= 302.50
minus_GEX:= 297.50
POI:= 290.00
SMA50:= 283.54
CITMC:= 235.03
if ( ticker == "GOOGL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: GOOGL
// 0 DTE Expirations Only
COI:= 335.00
plus_GEX:= 317.50
Pos_Trans:= 317.50
COTMC:= 315.98
CITMP:= 315.92
Neg_Trans:= 315.00
ZeroGEX:= 315.00
minus_GEX:= 310.00
Spot_Price:= 307.93
EMA21:= 307.09
COTMP:= 306.20
POI:= 290.00
SMA50:= 282.92
CITMC:= 235.92
if ( ticker == "HAL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: HAL
// 0 DTE Expirations Only
COI:= 30.00
plus_GEX:= 30.00
CITMP:= 29.61
COTMC:= 29.56
Spot_Price:= 28.41
COTMP:= 28.01
Pos_Trans:= 28.00
ZeroGEX:= 27.75
EMA21:= 27.56
minus_GEX:= 27.50
Neg_Trans:= 27.50
SMA50:= 26.18
CITMC:= 25.94
POI:= 23.00
if ( ticker == "HIMS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: HIMS
// 0 DTE Expirations Only
SMA50:= 43.88
CITMP:= 43.17
COTMC:= 41.00
COI:= 40.00
EMA21:= 38.62
plus_GEX:= 38.50
Pos_Trans:= 37.50
Neg_Trans:= 37.00
ZeroGEX:= 37.00
Spot_Price:= 36.30
COTMP:= 35.62
POI:= 30.00
minus_GEX:= 30.00
CITMC:= 20.89
if ( ticker == "HOOD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: HOOD
// 0 DTE Expirations Only
SMA50:= 131.78
COI:= 130.00
plus_GEX:= 127.00
EMA21:= 126.67
CITMP:= 125.93
COTMC:= 124.91
Pos_Trans:= 124.00
ZeroGEX:= 123.00
Neg_Trans:= 117.00
Spot_Price:= 115.84
COTMP:= 113.98
minus_GEX:= 110.00
POI:= 90.00
CITMC:= 63.00
if ( ticker == "HUT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: HUT
// 0 DTE Expirations Only
COI:= 50.00
SMA50:= 43.99
EMA21:= 41.86
CITMP:= 41.17
minus_GEX:= 38.00
COTMC:= 37.21
Spot_Price:= 35.72
COTMP:= 35.50
POI:= 35.00
plus_GEX:= 35.00
CITMC:= 25.59
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "HYG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: HYG
// 0 DTE Expirations Only
COI:= 82.00
plus_GEX:= 81.00
Pos_Trans:= 81.00
CITMP:= 80.98
COTMC:= 80.82
Spot_Price:= 80.64
EMA21:= 80.60
COTMP:= 80.59
SMA50:= 80.59
Neg_Trans:= 80.50
ZeroGEX:= 80.50
CITMC:= 80.22
minus_GEX:= 80.00
POI:= 75.00
if ( ticker == "IBIT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: IBIT
// 0 DTE Expirations Only
COI:= 60.00
SMA50:= 57.73
CITMP:= 56.36
EMA21:= 52.41
plus_GEX:= 52.00
Pos_Trans:= 51.00
COTMC:= 50.97
Neg_Trans:= 50.50
ZeroGEX:= 50.50
Spot_Price:= 49.41
COTMP:= 49.09
minus_GEX:= 48.00
POI:= 43.00
CITMC:= 28.58
if ( ticker == "INTC" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: INTC
// 0 DTE Expirations Only
COI:= 50.00
plus_GEX:= 40.00
COTMC:= 39.98
CITMP:= 39.87
EMA21:= 38.88
SMA50:= 38.08
Pos_Trans:= 38.00
Spot_Price:= 37.76
Neg_Trans:= 37.50
ZeroGEX:= 37.50
COTMP:= 37.20
minus_GEX:= 37.00
CITMC:= 29.29
POI:= 20.00
if ( ticker == "IONQ" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: IONQ
// 0 DTE Expirations Only
SMA50:= 57.07
COI:= 55.00
plus_GEX:= 55.00
CITMP:= 54.48
COTMC:= 51.48
Pos_Trans:= 51.00
EMA21:= 50.89
ZeroGEX:= 50.00
Neg_Trans:= 47.00
minus_GEX:= 46.00
Spot_Price:= 45.53
COTMP:= 44.76
POI:= 36.00
CITMC:= 32.19
if ( ticker == "IREN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: IREN
// 0 DTE Expirations Only
COI:= 70.00
SMA50:= 54.58
CITMP:= 46.39
EMA21:= 46.08
COTMC:= 40.36
plus_GEX:= 39.50
Pos_Trans:= 39.50
ZeroGEX:= 39.00
minus_GEX:= 36.00
Neg_Trans:= 36.00
Spot_Price:= 35.31
COTMP:= 34.75
POI:= 27.00
CITMC:= 20.45
if ( ticker == "ISRG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ISRG
// 0 DTE Expirations Only
COI:= 630.00
plus_GEX:= 575.00
COTMC:= 573.84
Pos_Trans:= 570.00
CITMP:= 569.27
Spot_Price:= 559.17
EMA21:= 557.06
minus_GEX:= 555.00
Neg_Trans:= 555.00
ZeroGEX:= 555.00
COTMP:= 552.84
SMA50:= 529.33
POI:= 500.00
CITMC:= 485.94
if ( ticker == "JD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: JD
// 0 DTE Expirations Only
COI:= 40.00
SMA50:= 31.50
CITMP:= 31.32
plus_GEX:= 30.50
Pos_Trans:= 30.50
POI:= 30.00
ZeroGEX:= 30.00
EMA21:= 29.90
COTMC:= 29.03
Neg_Trans:= 29.00
Spot_Price:= 28.44
COTMP:= 27.90
minus_GEX:= 27.50
CITMC:= 24.23
if ( ticker == "JPM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: JPM
// 0 DTE Expirations Only
COTMC:= 325.74
CITMP:= 324.06
Spot_Price:= 320.25
plus_GEX:= 320.00
COTMP:= 318.50
Pos_Trans:= 315.00
ZeroGEX:= 313.75
minus_GEX:= 312.50
Neg_Trans:= 312.50
EMA21:= 310.91
SMA50:= 307.00
COI:= 300.00
POI:= 300.00
CITMC:= 272.37
if ( ticker == "KRE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: KRE
// 0 DTE Expirations Only
CITMP:= 68.20
COTMC:= 68.16
plus_GEX:= 68.00
Spot_Price:= 67.22
COTMP:= 66.60
Pos_Trans:= 66.00
Neg_Trans:= 65.50
ZeroGEX:= 65.50
COI:= 65.00
POI:= 65.00
EMA21:= 64.24
minus_GEX:= 64.00
CITMC:= 62.25
SMA50:= 62.01
if ( ticker == "KVUE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: KVUE
// 0 DTE Expirations Only
CITMP:= 19.80
COI:= 18.00
plus_GEX:= 18.00
COTMC:= 17.64
Spot_Price:= 17.21
COTMP:= 17.08
Pos_Trans:= 17.00
EMA21:= 16.89
ZeroGEX:= 16.75
minus_GEX:= 16.50
Neg_Trans:= 16.50
SMA50:= 16.20
CITMC:= 16.06
POI:= 16.00
if ( ticker == "KWEB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: KWEB
// 0 DTE Expirations Only
COI:= 50.00
SMA50:= 38.94
CITMP:= 38.26
plus_GEX:= 38.00
EMA21:= 37.54
Pos_Trans:= 37.50
POI:= 37.00
Neg_Trans:= 37.00
ZeroGEX:= 37.00
COTMC:= 36.55
minus_GEX:= 36.00
Spot_Price:= 35.93
COTMP:= 35.59
CITMC:= 31.34
if ( ticker == "LLY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LLY
// 0 DTE Expirations Only
plus_GEX:= 1100.00
COTMC:= 1093.45
Spot_Price:= 1063.60
CITMP:= 1060.79
COTMP:= 1054.33
Pos_Trans:= 1045.00
ZeroGEX:= 1042.50
Neg_Trans:= 1040.00
minus_GEX:= 1035.00
EMA21:= 1014.40
COI:= 1000.00
POI:= 1000.00
SMA50:= 939.00
CITMC:= 888.04
if ( ticker == "LMND" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LMND
// 0 DTE Expirations Only
COI:= 85.00
plus_GEX:= 85.00
CITMP:= 81.28
COTMC:= 80.78
Pos_Trans:= 80.00
Spot_Price:= 76.48
COTMP:= 75.63
EMA21:= 74.66
Neg_Trans:= 74.00
ZeroGEX:= 74.00
minus_GEX:= 71.00
SMA50:= 65.66
CITMC:= 49.51
POI:= 37.00
if ( ticker == "LOW" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LOW
// 0 DTE Expirations Only
CITMP:= 254.05
COTMC:= 252.92
COI:= 250.00
plus_GEX:= 250.00
Spot_Price:= 248.78
Pos_Trans:= 247.50
COTMP:= 246.76
minus_GEX:= 245.00
Neg_Trans:= 245.00
ZeroGEX:= 245.00
EMA21:= 242.47
SMA50:= 238.85
POI:= 230.00
CITMC:= 223.63
if ( ticker == "LRCX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LRCX
// 0 DTE Expirations Only
COTMC:= 170.84
CITMP:= 170.58
COI:= 165.00
plus_GEX:= 165.00
Pos_Trans:= 165.00
Spot_Price:= 164.98
COTMP:= 164.33
minus_GEX:= 162.50
Neg_Trans:= 162.50
ZeroGEX:= 162.50
EMA21:= 158.64
POI:= 155.00
SMA50:= 152.73
CITMC:= 122.19
if ( ticker == "LULU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LULU
// 0 DTE Expirations Only
CITMP:= 234.17
COTMC:= 223.08
Spot_Price:= 206.40
COTMP:= 204.78
COI:= 200.00
plus_GEX:= 200.00
Pos_Trans:= 200.00
minus_GEX:= 192.50
Neg_Trans:= 192.50
ZeroGEX:= 192.50
EMA21:= 183.92
CITMC:= 181.59
SMA50:= 174.96
POI:= 130.00
if ( ticker == "LUV" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LUV
// 0 DTE Expirations Only
COTMC:= 44.08
CITMP:= 42.93
Spot_Price:= 42.51
COTMP:= 42.13
plus_GEX:= 42.00
Pos_Trans:= 42.00
minus_GEX:= 41.00
Neg_Trans:= 41.00
ZeroGEX:= 41.00
EMA21:= 36.70
CITMC:= 35.93
COI:= 35.00
SMA50:= 33.66
POI:= 30.00
if ( ticker == "LVS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LVS
// 0 DTE Expirations Only
plus_GEX:= 70.00
Pos_Trans:= 69.00
COTMC:= 68.37
CITMP:= 68.09
minus_GEX:= 68.00
Neg_Trans:= 68.00
ZeroGEX:= 68.00
Spot_Price:= 67.00
COTMP:= 66.48
EMA21:= 65.71
SMA50:= 60.63
CITMC:= 53.15
COI:= 52.50
POI:= 50.00
if ( ticker == "LYFT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: LYFT
// 0 DTE Expirations Only
COI:= 33.00
EMA21:= 21.12
SMA50:= 20.99
CITMP:= 20.45
COTMC:= 20.18
plus_GEX:= 20.00
Pos_Trans:= 20.00
Neg_Trans:= 19.50
ZeroGEX:= 19.50
Spot_Price:= 19.12
COTMP:= 18.79
minus_GEX:= 18.00
CITMC:= 15.28
POI:= 15.00
if ( ticker == "MA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MA
// 0 DTE Expirations Only
plus_GEX:= 580.00
COTMC:= 577.05
CITMP:= 575.96
Spot_Price:= 570.00
COTMP:= 564.21
Pos_Trans:= 560.00
minus_GEX:= 557.50
Neg_Trans:= 557.50
ZeroGEX:= 557.50
SMA50:= 554.77
EMA21:= 550.81
COI:= 550.00
POI:= 550.00
CITMC:= 527.20
if ( ticker == "MARA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MARA
// 0 DTE Expirations Only
SMA50:= 15.61
CITMP:= 15.20
EMA21:= 12.34
COI:= 12.00
POI:= 12.00
plus_GEX:= 12.00
COTMC:= 11.61
Pos_Trans:= 11.50
Neg_Trans:= 11.00
ZeroGEX:= 11.00
Spot_Price:= 10.72
COTMP:= 10.61
minus_GEX:= 10.00
CITMC:= 8.32
if ( ticker == "MDB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MDB
// 0 DTE Expirations Only
COTMC:= 427.47
CITMP:= 424.08
plus_GEX:= 420.00
Pos_Trans:= 420.00
Neg_Trans:= 417.50
ZeroGEX:= 417.50
Spot_Price:= 411.28
COTMP:= 410.97
COI:= 400.00
minus_GEX:= 395.00
EMA21:= 385.02
SMA50:= 352.29
CITMC:= 313.26
POI:= 210.00
if ( ticker == "META" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: META
// 0 DTE Expirations Only
COI:= 700.00
CITMP:= 673.08
COTMC:= 666.44
SMA50:= 666.20
plus_GEX:= 650.00
Pos_Trans:= 647.50
EMA21:= 646.33
Spot_Price:= 645.51
ZeroGEX:= 645.00
COTMP:= 638.47
Neg_Trans:= 627.50
minus_GEX:= 620.00
POI:= 600.00
CITMC:= 495.89
if ( ticker == "MP" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MP
// 0 DTE Expirations Only
COI:= 95.00
SMA50:= 65.35
CITMP:= 60.50
EMA21:= 59.47
plus_GEX:= 59.00
Pos_Trans:= 58.00
COTMC:= 57.57
ZeroGEX:= 57.50
Neg_Trans:= 57.00
Spot_Price:= 52.69
COTMP:= 51.92
POI:= 50.00
minus_GEX:= 50.00
CITMC:= 33.80
if ( ticker == "MRNA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MRNA
// 0 DTE Expirations Only
CITMP:= 34.70
COTMC:= 34.56
COI:= 30.00
plus_GEX:= 30.00
Spot_Price:= 29.86
COTMP:= 29.12
Pos_Trans:= 28.50
minus_GEX:= 28.00
Neg_Trans:= 28.00
ZeroGEX:= 28.00
EMA21:= 26.91
SMA50:= 26.14
POI:= 26.00
CITMC:= 25.97
if ( ticker == "MRVL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MRVL
// 0 DTE Expirations Only
COI:= 90.00
plus_GEX:= 90.00
Pos_Trans:= 90.00
CITMP:= 89.45
COTMC:= 89.00
ZeroGEX:= 89.00
EMA21:= 89.00
SMA50:= 88.17
Spot_Price:= 84.26
Neg_Trans:= 84.00
minus_GEX:= 83.00
COTMP:= 82.24
CITMC:= 69.44
POI:= 50.00
if ( ticker == "MS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MS
// 0 DTE Expirations Only
COTMC:= 182.11
CITMP:= 181.59
plus_GEX:= 180.00
Pos_Trans:= 180.00
Spot_Price:= 178.30
minus_GEX:= 177.50
Neg_Trans:= 177.50
ZeroGEX:= 177.50
COTMP:= 177.28
EMA21:= 172.13
COI:= 170.00
SMA50:= 164.90
CITMC:= 144.02
POI:= 90.00
if ( ticker == "MSFT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MSFT
// 0 DTE Expirations Only
COI:= 585.00
SMA50:= 503.82
CITMP:= 494.94
EMA21:= 487.42
COTMC:= 481.26
plus_GEX:= 480.00
Pos_Trans:= 477.50
minus_GEX:= 475.00
Neg_Trans:= 475.00
ZeroGEX:= 475.00
Spot_Price:= 473.79
COTMP:= 470.49
POI:= 460.00
CITMC:= 393.72
if ( ticker == "MSTR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MSTR
// 0 DTE Expirations Only
COI:= 400.00
SMA50:= 238.76
CITMP:= 235.03
EMA21:= 190.98
plus_GEX:= 182.50
Pos_Trans:= 180.00
ZeroGEX:= 178.00
COTMC:= 176.88
Neg_Trans:= 166.00
Spot_Price:= 165.20
minus_GEX:= 165.00
COTMP:= 163.92
CITMC:= 84.12
POI:= 10.50
if ( ticker == "MU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: MU
// 0 DTE Expirations Only
CITMP:= 253.47
COI:= 250.00
plus_GEX:= 250.00
COTMC:= 248.09
Pos_Trans:= 240.00
Spot_Price:= 237.99
EMA21:= 237.86
Neg_Trans:= 237.50
ZeroGEX:= 237.50
COTMP:= 235.28
POI:= 230.00
minus_GEX:= 225.00
SMA50:= 223.23
CITMC:= 151.94
if ( ticker == "NBIS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NBIS
// 0 DTE Expirations Only
COI:= 150.00
SMA50:= 106.45
plus_GEX:= 100.00
EMA21:= 95.30
Pos_Trans:= 94.00
ZeroGEX:= 93.00
CITMP:= 92.38
COTMC:= 91.75
Neg_Trans:= 87.00
Spot_Price:= 80.20
POI:= 80.00
minus_GEX:= 80.00
COTMP:= 78.61
CITMC:= 56.73
if ( ticker == "NEM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NEM
// 0 DTE Expirations Only
CITMP:= 103.65
COTMC:= 102.32
COI:= 100.00
plus_GEX:= 100.00
Spot_Price:= 98.87
COTMP:= 98.16
Pos_Trans:= 98.00
Neg_Trans:= 94.00
ZeroGEX:= 94.00
minus_GEX:= 93.00
EMA21:= 91.65
SMA50:= 88.06
POI:= 80.00
CITMC:= 67.60
if ( ticker == "NET" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NET
// 0 DTE Expirations Only
COI:= 220.00
SMA50:= 213.89
CITMP:= 208.94
COTMC:= 206.28
EMA21:= 205.56
POI:= 200.00
plus_GEX:= 200.00
Pos_Trans:= 200.00
Neg_Trans:= 197.50
ZeroGEX:= 197.50
Spot_Price:= 195.95
minus_GEX:= 195.00
COTMP:= 194.08
CITMC:= 144.43
if ( ticker == "NFLX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NFLX
// 0 DTE Expirations Only
SMA50:= 110.34
CITMP:= 103.01
EMA21:= 102.18
POI:= 100.00
plus_GEX:= 97.00
COTMC:= 96.08
Pos_Trans:= 95.50
Neg_Trans:= 95.00
ZeroGEX:= 95.00
minus_GEX:= 94.50
Spot_Price:= 93.75
COTMP:= 93.26
CITMC:= 47.38
COI:= 1.00
if ( ticker == "NKE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NKE
// 0 DTE Expirations Only
COI:= 75.00
CITMP:= 73.15
COTMC:= 70.57
Spot_Price:= 67.81
COTMP:= 66.74
SMA50:= 65.44
EMA21:= 65.27
POI:= 65.00
plus_GEX:= 65.00
Pos_Trans:= 64.00
Neg_Trans:= 63.00
ZeroGEX:= 63.00
minus_GEX:= 62.50
CITMC:= 62.44
if ( ticker == "NNE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NNE
// 0 DTE Expirations Only
POI:= 45.00
SMA50:= 40.01
CITMP:= 39.67
EMA21:= 35.08
COTMC:= 34.48
COI:= 32.00
plus_GEX:= 32.00
Pos_Trans:= 31.50
Spot_Price:= 31.35
ZeroGEX:= 31.00
COTMP:= 30.95
minus_GEX:= 30.00
Neg_Trans:= 30.00
CITMC:= 27.27
if ( ticker == "NVDA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NVDA
// 0 DTE Expirations Only
COI:= 200.00
SMA50:= 186.62
CITMP:= 186.33
COTMC:= 185.90
plus_GEX:= 185.00
EMA21:= 182.41
Pos_Trans:= 177.50
Neg_Trans:= 177.00
ZeroGEX:= 177.00
Spot_Price:= 176.85
COTMP:= 175.62
minus_GEX:= 175.00
POI:= 160.00
CITMC:= 110.29
if ( ticker == "NVO" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: NVO
// 0 DTE Expirations Only
CITMP:= 54.11
COTMC:= 52.25
SMA50:= 50.89
COI:= 50.00
plus_GEX:= 50.00
Spot_Price:= 49.84
Pos_Trans:= 49.00
COTMP:= 48.88
EMA21:= 48.77
Neg_Trans:= 47.00
ZeroGEX:= 47.00
POI:= 45.00
minus_GEX:= 45.00
CITMC:= 42.98
if ( ticker == "OKLO" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: OKLO
// 0 DTE Expirations Only
SMA50:= 118.07
COTMC:= 108.60
CITMP:= 100.58
EMA21:= 99.12
COI:= 95.00
plus_GEX:= 95.00
Pos_Trans:= 94.00
ZeroGEX:= 93.00
Neg_Trans:= 91.00
Spot_Price:= 81.69
COTMP:= 81.21
minus_GEX:= 80.00
POI:= 65.00
CITMC:= 49.21
if ( ticker == "OKTA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: OKTA
// 0 DTE Expirations Only
CITMP:= 94.76
COTMC:= 93.09
COI:= 90.00
plus_GEX:= 90.00
Spot_Price:= 89.83
Pos_Trans:= 89.00
COTMP:= 88.03
minus_GEX:= 87.00
Neg_Trans:= 87.00
ZeroGEX:= 87.00
SMA50:= 86.53
EMA21:= 85.96
POI:= 85.00
CITMC:= 80.74
if ( ticker == "ONON" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ONON
// 0 DTE Expirations Only
CITMP:= 50.47
COI:= 50.00
plus_GEX:= 50.00
COTMC:= 49.50
Spot_Price:= 47.84
COTMP:= 47.25
Pos_Trans:= 47.00
ZeroGEX:= 46.50
EMA21:= 45.35
minus_GEX:= 45.00
Neg_Trans:= 45.00
CITMC:= 42.55
SMA50:= 42.16
POI:= 35.00
if ( ticker == "ORCL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ORCL
// 0 DTE Expirations Only
COI:= 280.00
SMA50:= 245.17
EMA21:= 213.02
CITMP:= 212.22
POI:= 200.00
COTMC:= 195.47
plus_GEX:= 195.00
Pos_Trans:= 192.50
ZeroGEX:= 190.00
Neg_Trans:= 185.00
Spot_Price:= 184.87
COTMP:= 182.99
minus_GEX:= 177.50
CITMC:= 162.84
if ( ticker == "OSCR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: OSCR
// 0 DTE Expirations Only
COI:= 20.00
plus_GEX:= 18.00
COTMC:= 17.95
CITMP:= 17.67
SMA50:= 17.67
Pos_Trans:= 17.50
POI:= 17.00
ZeroGEX:= 17.00
EMA21:= 16.44
Neg_Trans:= 16.00
Spot_Price:= 15.90
COTMP:= 15.55
minus_GEX:= 15.50
CITMC:= 12.63
if ( ticker == "OXY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: OXY
// 0 DTE Expirations Only
COI:= 42.50
plus_GEX:= 42.50
CITMP:= 42.28
SMA50:= 41.84
EMA21:= 41.60
Pos_Trans:= 41.50
COTMC:= 41.03
Neg_Trans:= 41.00
ZeroGEX:= 41.00
minus_GEX:= 40.00
Spot_Price:= 39.84
COTMP:= 39.30
POI:= 35.00
CITMC:= 33.43
if ( ticker == "PANW" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PANW
// 0 DTE Expirations Only
COI:= 230.00
SMA50:= 204.68
plus_GEX:= 200.00
CITMP:= 195.06
EMA21:= 194.63
Pos_Trans:= 192.50
COTMC:= 190.32
Neg_Trans:= 190.00
ZeroGEX:= 190.00
Spot_Price:= 185.03
minus_GEX:= 185.00
COTMP:= 182.56
POI:= 175.00
CITMC:= 161.47
if ( ticker == "PDD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PDD
// 0 DTE Expirations Only
SMA50:= 126.38
COI:= 120.00
POI:= 120.00
EMA21:= 118.10
CITMP:= 117.29
COTMC:= 111.64
minus_GEX:= 110.00
Spot_Price:= 108.77
COTMP:= 107.18
plus_GEX:= 105.00
CITMC:= 97.15
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "PEP" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PEP
// 0 DTE Expirations Only
CITMP:= 156.39
COI:= 155.00
COTMC:= 153.91
Spot_Price:= 151.16
COTMP:= 150.22
plus_GEX:= 150.00
Pos_Trans:= 148.00
EMA21:= 147.73
ZeroGEX:= 147.50
SMA50:= 147.36
Neg_Trans:= 147.00
minus_GEX:= 146.00
CITMC:= 144.66
POI:= 140.00
if ( ticker == "PG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PG
// 0 DTE Expirations Only
COI:= 160.00
CITMP:= 152.40
plus_GEX:= 150.00
SMA50:= 147.78
COTMC:= 147.18
Pos_Trans:= 146.00
Spot_Price:= 145.64
ZeroGEX:= 145.50
minus_GEX:= 145.00
Neg_Trans:= 145.00
EMA21:= 144.75
COTMP:= 144.60
CITMC:= 140.03
POI:= 140.00
if ( ticker == "PINS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PINS
// 0 DTE Expirations Only
SMA50:= 29.21
COI:= 29.00
CITMP:= 28.34
POI:= 27.00
minus_GEX:= 27.00
EMA21:= 26.97
COTMC:= 26.50
Spot_Price:= 25.66
COTMP:= 25.17
CITMC:= 24.72
plus_GEX:= 24.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "PLTR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PLTR
// 0 DTE Expirations Only
COI:= 200.00
CITMP:= 195.42
plus_GEX:= 192.50
COTMC:= 192.48
Pos_Trans:= 185.00
ZeroGEX:= 182.50
Spot_Price:= 181.50
COTMP:= 179.90
SMA50:= 179.66
EMA21:= 178.28
Neg_Trans:= 177.50
POI:= 170.00
minus_GEX:= 170.00
CITMC:= 109.63
if ( ticker == "PM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PM
// 0 DTE Expirations Only
CITMP:= 167.36
plus_GEX:= 165.00
COTMC:= 161.84
COI:= 160.00
Pos_Trans:= 160.00
Spot_Price:= 158.84
COTMP:= 157.70
Neg_Trans:= 157.50
ZeroGEX:= 157.50
minus_GEX:= 155.00
SMA50:= 153.66
EMA21:= 152.97
POI:= 145.00
CITMC:= 138.65
if ( ticker == "PYPL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: PYPL
// 0 DTE Expirations Only
COI:= 72.50
CITMP:= 68.05
SMA50:= 65.87
COTMC:= 64.19
plus_GEX:= 63.00
Pos_Trans:= 62.50
EMA21:= 62.28
Neg_Trans:= 62.00
ZeroGEX:= 62.00
Spot_Price:= 61.71
COTMP:= 60.84
POI:= 60.00
minus_GEX:= 60.00
CITMC:= 55.46
if ( ticker == "QCOM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: QCOM
// 0 DTE Expirations Only
COTMC:= 184.91
CITMP:= 183.01
COI:= 180.00
plus_GEX:= 180.00
Spot_Price:= 179.00
Pos_Trans:= 177.50
COTMP:= 176.62
POI:= 175.00
minus_GEX:= 175.00
Neg_Trans:= 175.00
ZeroGEX:= 175.00
EMA21:= 173.96
SMA50:= 171.01
CITMC:= 162.40
if ( ticker == "QUBT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: QUBT
// 0 DTE Expirations Only
COI:= 15.00
SMA50:= 14.54
plus_GEX:= 14.00
CITMP:= 13.58
COTMC:= 13.51
EMA21:= 12.37
Pos_Trans:= 11.50
POI:= 11.00
minus_GEX:= 11.00
Neg_Trans:= 11.00
ZeroGEX:= 11.00
Spot_Price:= 10.92
COTMP:= 10.62
CITMC:= 9.18
if ( ticker == "RBLX" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RBLX
// 0 DTE Expirations Only
SMA50:= 109.89
COI:= 100.00
CITMP:= 97.75
EMA21:= 96.37
plus_GEX:= 90.00
Pos_Trans:= 90.00
COTMC:= 89.56
Neg_Trans:= 89.00
ZeroGEX:= 89.00
Spot_Price:= 86.44
COTMP:= 85.50
minus_GEX:= 85.00
CITMC:= 67.16
POI:= 60.00
if ( ticker == "RCL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RCL
// 0 DTE Expirations Only
CITMP:= 309.46
COTMC:= 297.73
Spot_Price:= 289.97
COTMP:= 288.15
minus_GEX:= 282.50
COI:= 280.00
plus_GEX:= 280.00
SMA50:= 279.31
EMA21:= 267.46
CITMC:= 224.57
POI:= 45.00
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "RDDT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RDDT
// 0 DTE Expirations Only
COI:= 250.00
plus_GEX:= 235.00
CITMP:= 233.01
COTMC:= 231.95
Pos_Trans:= 230.00
EMA21:= 218.54
Spot_Price:= 217.16
minus_GEX:= 215.00
Neg_Trans:= 215.00
ZeroGEX:= 215.00
COTMP:= 210.02
SMA50:= 206.49
POI:= 190.00
CITMC:= 169.53
if ( ticker == "RGTI" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RGTI
// 0 DTE Expirations Only
COI:= 36.00
SMA50:= 34.45
CITMP:= 28.77
plus_GEX:= 28.00
Pos_Trans:= 28.00
COTMC:= 27.92
EMA21:= 27.37
ZeroGEX:= 26.00
Neg_Trans:= 25.00
Spot_Price:= 23.53
COTMP:= 23.04
POI:= 20.00
minus_GEX:= 20.00
CITMC:= 13.69
if ( ticker == "RIOT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RIOT
// 0 DTE Expirations Only
SMA50:= 17.78
CITMP:= 16.36
EMA21:= 15.40
COTMC:= 14.57
minus_GEX:= 14.50
COI:= 14.00
plus_GEX:= 14.00
Spot_Price:= 13.75
COTMP:= 13.42
POI:= 13.00
CITMC:= 10.94
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "RIVN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RIVN
// 0 DTE Expirations Only
COI:= 20.00
plus_GEX:= 20.00
COTMC:= 19.86
CITMP:= 19.69
Spot_Price:= 18.70
Pos_Trans:= 18.50
COTMP:= 18.41
minus_GEX:= 18.00
Neg_Trans:= 18.00
ZeroGEX:= 18.00
EMA21:= 16.85
CITMC:= 15.15
SMA50:= 15.02
POI:= 7.50
if ( ticker == "RKLB" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RKLB
// 0 DTE Expirations Only
COI:= 80.00
COTMC:= 60.22
CITMP:= 59.70
SMA50:= 55.19
plus_GEX:= 55.00
Pos_Trans:= 55.00
Spot_Price:= 54.45
Neg_Trans:= 54.00
ZeroGEX:= 54.00
COTMP:= 53.81
minus_GEX:= 53.00
EMA21:= 51.48
POI:= 40.00
CITMC:= 31.61
if ( ticker == "RKT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: RKT
// 0 DTE Expirations Only
CITMP:= 21.62
COTMC:= 19.05
EMA21:= 18.62
POI:= 18.50
minus_GEX:= 18.50
Spot_Price:= 18.25
COI:= 18.00
plus_GEX:= 18.00
COTMP:= 17.98
SMA50:= 17.57
CITMC:= 16.10
Pos_Trans:= -1.00
Neg_Trans:= -1.00
ZeroGEX:= -1.00
if ( ticker == "ROKU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: ROKU
// 0 DTE Expirations Only
COTMC:= 118.79
CITMP:= 116.40
plus_GEX:= 115.00
Spot_Price:= 114.36
COTMP:= 113.13
Pos_Trans:= 107.00
ZeroGEX:= 106.50
minus_GEX:= 106.00
Neg_Trans:= 106.00
EMA21:= 101.18
COI:= 100.00
SMA50:= 99.45
CITMC:= 94.64
POI:= 90.00
if ( ticker == "SE" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SE
// 0 DTE Expirations Only
SMA50:= 151.02
EMA21:= 134.41
CITMP:= 133.93
COI:= 130.00
plus_GEX:= 130.00
Pos_Trans:= 128.00
COTMC:= 125.16
Neg_Trans:= 124.00
ZeroGEX:= 124.00
Spot_Price:= 121.61
COTMP:= 120.71
minus_GEX:= 120.00
CITMC:= 82.12
POI:= 30.00
if ( ticker == "SEDG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SEDG
// 0 DTE Expirations Only
SMA50:= 35.86
COI:= 35.00
CITMP:= 34.25
EMA21:= 32.69
plus_GEX:= 32.50
Pos_Trans:= 32.50
ZeroGEX:= 32.00
COTMC:= 31.68
Neg_Trans:= 30.00
Spot_Price:= 29.12
COTMP:= 28.46
minus_GEX:= 27.50
POI:= 22.50
CITMC:= 21.97
if ( ticker == "SLV" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SLV
// 0 DTE Expirations Only
CITMP:= 61.16
COI:= 60.00
COTMC:= 58.61
plus_GEX:= 58.00
Pos_Trans:= 58.00
Neg_Trans:= 57.50
ZeroGEX:= 57.50
Spot_Price:= 57.39
COTMP:= 57.20
minus_GEX:= 57.00
EMA21:= 51.97
SMA50:= 47.47
POI:= 47.00
CITMC:= 46.52
if ( ticker == "SMCI" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SMCI
// 0 DTE Expirations Only
SMA50:= 42.88
CITMP:= 39.12
EMA21:= 35.16
COTMC:= 34.63
COI:= 34.50
plus_GEX:= 34.50
Pos_Trans:= 32.50
Neg_Trans:= 32.00
ZeroGEX:= 32.00
Spot_Price:= 31.04
COTMP:= 30.57
minus_GEX:= 30.00
POI:= 23.00
CITMC:= 22.45
if ( ticker == "SMR" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SMR
// 0 DTE Expirations Only
SMA50:= 30.86
CITMP:= 23.51
EMA21:= 21.99
COI:= 20.50
plus_GEX:= 20.50
Pos_Trans:= 20.50
ZeroGEX:= 20.00
COTMC:= 19.18
Neg_Trans:= 18.00
Spot_Price:= 17.14
COTMP:= 16.91
POI:= 16.00
minus_GEX:= 16.00
CITMC:= 12.88
if ( ticker == "SNOW" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SNOW
// 0 DTE Expirations Only
SMA50:= 249.46
EMA21:= 236.90
COI:= 230.00
CITMP:= 226.74
COTMC:= 221.09
plus_GEX:= 220.00
Pos_Trans:= 215.00
Spot_Price:= 213.73
Neg_Trans:= 212.50
ZeroGEX:= 212.50
COTMP:= 210.07
minus_GEX:= 210.00
POI:= 200.00
CITMC:= 182.64
if ( ticker == "SOFI" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SOFI
// 0 DTE Expirations Only
COI:= 30.00
plus_GEX:= 28.50
SMA50:= 28.25
EMA21:= 27.76
CITMP:= 27.55
Pos_Trans:= 27.50
COTMC:= 27.39
Neg_Trans:= 27.00
ZeroGEX:= 27.00
POI:= 26.00
minus_GEX:= 26.00
Spot_Price:= 25.70
COTMP:= 25.35
CITMC:= 16.37
if ( ticker == "SOUN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SOUN
// 0 DTE Expirations Only
SMA50:= 15.02
CITMP:= 13.33
EMA21:= 12.40
COI:= 12.00
plus_GEX:= 12.00
COTMC:= 11.88
Pos_Trans:= 11.50
Neg_Trans:= 11.00
ZeroGEX:= 11.00
Spot_Price:= 10.70
COTMP:= 10.49
POI:= 9.50
minus_GEX:= 9.50
CITMC:= 7.28
if ( ticker == "SPOT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: SPOT
// 0 DTE Expirations Only
COI:= 720.00
SMA50:= 631.22
CITMP:= 614.69
EMA21:= 596.21
COTMC:= 595.25
plus_GEX:= 590.00
Pos_Trans:= 587.50
Neg_Trans:= 585.00
ZeroGEX:= 585.00
Spot_Price:= 575.68
COTMP:= 569.28
POI:= 550.00
minus_GEX:= 550.00
CITMC:= 441.07
if ( ticker == "TGT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TGT
// 0 DTE Expirations Only
CITMP:= 106.33
COI:= 105.00
COTMC:= 101.29
plus_GEX:= 101.00
Spot_Price:= 97.48
COTMP:= 96.23
Pos_Trans:= 93.00
EMA21:= 92.52
minus_GEX:= 92.00
Neg_Trans:= 92.00
ZeroGEX:= 92.00
SMA50:= 91.17
CITMC:= 89.49
POI:= 85.00
if ( ticker == "TLT" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TLT
// 0 DTE Expirations Only
CITMP:= 90.43
SMA50:= 89.78
EMA21:= 88.72
COI:= 88.00
plus_GEX:= 88.00
COTMC:= 87.91
POI:= 87.50
Pos_Trans:= 87.50
Spot_Price:= 87.30
COTMP:= 87.02
minus_GEX:= 87.00
Neg_Trans:= 87.00
ZeroGEX:= 87.00
CITMC:= 83.88
if ( ticker == "TMUS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TMUS
// 0 DTE Expirations Only
COI:= 220.00
CITMP:= 215.66
SMA50:= 213.52
plus_GEX:= 210.00
Pos_Trans:= 210.00
ZeroGEX:= 207.50
COTMC:= 205.56
EMA21:= 204.89
Spot_Price:= 197.98
COTMP:= 196.21
minus_GEX:= 195.00
Neg_Trans:= 195.00
POI:= 190.00
CITMC:= 172.62
if ( ticker == "TSLA" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TSLA
// 0 DTE Expirations Only
CITMP:= 517.79
COTMC:= 516.95
COI:= 500.00
plus_GEX:= 500.00
Spot_Price:= 473.32
COTMP:= 467.86
Pos_Trans:= 445.00
Neg_Trans:= 442.50
ZeroGEX:= 442.50
EMA21:= 441.19
SMA50:= 436.49
minus_GEX:= 435.00
CITMC:= 318.03
POI:= 170.00
if ( ticker == "TSM" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TSM
// 0 DTE Expirations Only
COI:= 300.00
plus_GEX:= 300.00
COTMC:= 298.01
CITMP:= 297.23
EMA21:= 293.56
SMA50:= 293.52
Pos_Trans:= 292.50
Neg_Trans:= 290.00
ZeroGEX:= 290.00
Spot_Price:= 288.28
COTMP:= 287.03
minus_GEX:= 285.00
CITMC:= 226.14
POI:= 180.00
if ( ticker == "TTD" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TTD
// 0 DTE Expirations Only
SMA50:= 45.42
CITMP:= 44.59
COI:= 40.00
EMA21:= 39.86
COTMC:= 39.70
plus_GEX:= 39.00
Pos_Trans:= 38.00
Neg_Trans:= 37.50
ZeroGEX:= 37.50
Spot_Price:= 36.22
COTMP:= 35.28
POI:= 35.00
minus_GEX:= 35.00
CITMC:= 32.67
if ( ticker == "TXN" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: TXN
// 0 DTE Expirations Only
CITMP:= 188.37
COTMC:= 183.62
Spot_Price:= 178.03
COTMP:= 176.05
COI:= 175.00
plus_GEX:= 175.00
EMA21:= 173.64
SMA50:= 169.57
CITMC:= 166.97
Pos_Trans:= 162.50
minus_GEX:= 160.00
Neg_Trans:= 160.00
ZeroGEX:= 160.00
POI:= 145.00
if ( ticker == "U" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: U
// 0 DTE Expirations Only
COI:= 50.00
plus_GEX:= 50.00
Pos_Trans:= 49.00
ZeroGEX:= 48.25
CITMP:= 47.99
COTMC:= 47.55
Neg_Trans:= 47.50
minus_GEX:= 47.00
Spot_Price:= 45.09
COTMP:= 44.44
EMA21:= 44.23
SMA50:= 39.94
POI:= 35.00
CITMC:= 34.77
if ( ticker == "UAL" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UAL
// 0 DTE Expirations Only
CITMP:= 112.24
COTMC:= 111.77
Spot_Price:= 107.76
COTMP:= 106.65
COI:= 105.00
plus_GEX:= 105.00
Pos_Trans:= 105.00
minus_GEX:= 104.00
Neg_Trans:= 104.00
ZeroGEX:= 104.00
EMA21:= 102.77
SMA50:= 98.83
POI:= 95.00
CITMC:= 82.49
if ( ticker == "UBER" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UBER
// 0 DTE Expirations Only
COI:= 100.00
SMA50:= 91.68
EMA21:= 87.98
CITMP:= 86.91
COTMC:= 84.43
plus_GEX:= 84.00
Pos_Trans:= 84.00
ZeroGEX:= 83.50
Neg_Trans:= 83.00
Spot_Price:= 82.10
COTMP:= 81.14
minus_GEX:= 80.00
CITMC:= 66.77
POI:= 50.00
if ( ticker == "UNG" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UNG
// 0 DTE Expirations Only
EMA21:= 14.14
CITMP:= 14.00
SMA50:= 13.68
COI:= 13.00
plus_GEX:= 13.00
Pos_Trans:= 13.00
POI:= 12.50
minus_GEX:= 12.50
Neg_Trans:= 12.50
ZeroGEX:= 12.50
COTMC:= 12.46
Spot_Price:= 12.13
COTMP:= 12.00
CITMC:= 10.91
if ( ticker == "UNH" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UNH
// 0 DTE Expirations Only
COI:= 400.00
CITMP:= 365.20
COTMC:= 357.03
plus_GEX:= 350.00
SMA50:= 340.09
Spot_Price:= 339.13
COTMP:= 332.70
Pos_Trans:= 332.50
EMA21:= 331.32
minus_GEX:= 330.00
Neg_Trans:= 330.00
ZeroGEX:= 330.00
POI:= 300.00
CITMC:= 288.85
if ( ticker == "UPS" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UPS
// 0 DTE Expirations Only
CITMP:= 111.10
COTMC:= 103.16
Spot_Price:= 100.13
COI:= 100.00
plus_GEX:= 100.00
COTMP:= 98.81
EMA21:= 96.46
Pos_Trans:= 95.00
CITMC:= 94.47
minus_GEX:= 94.00
Neg_Trans:= 94.00
ZeroGEX:= 94.00
SMA50:= 92.48
POI:= 75.00
if ( ticker == "UPST" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UPST
// 0 DTE Expirations Only
CITMP:= 55.72
COI:= 50.00
plus_GEX:= 50.00
Pos_Trans:= 49.00
COTMC:= 48.76
Spot_Price:= 45.60
SMA50:= 45.49
EMA21:= 45.15
COTMP:= 44.68
ZeroGEX:= 44.50
Neg_Trans:= 40.50
POI:= 40.00
minus_GEX:= 40.00
CITMC:= 36.85
if ( ticker == "USO" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: USO
// 0 DTE Expirations Only
COI:= 71.00
CITMP:= 70.90
SMA50:= 70.79
EMA21:= 70.24
POI:= 70.00
plus_GEX:= 69.00
Pos_Trans:= 69.00
ZeroGEX:= 68.50
Neg_Trans:= 68.00
COTMC:= 67.67
minus_GEX:= 67.00
Spot_Price:= 66.98
COTMP:= 66.43
CITMC:= 64.57
if ( ticker == "UUUU" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UUUU
// 0 DTE Expirations Only
COI:= 35.00
SMA50:= 17.53
CITMP:= 16.36
COTMC:= 16.12
plus_GEX:= 16.00
Pos_Trans:= 15.50
EMA21:= 15.28
POI:= 15.00
minus_GEX:= 15.00
Neg_Trans:= 15.00
ZeroGEX:= 15.00
Spot_Price:= 13.70
COTMP:= 13.30
CITMC:= 9.13
if ( ticker == "UVXY" and plotHLines and (timeframe.isintraday or timeframe.isdwm))
// Ticker: UVXY
// 0 DTE Expirations Only
COI:= 75.00
SMA50:= 52.57
CITMP:= 50.98
EMA21:= 47.85
plus_GEX:= 45.00
COTMC:= 44.81
Spot_Price:= 42.41
Pos_Trans:= 42.00
COTMP:= 41.61
Neg_Trans:= 41.50
ZeroGEX:= 41.50
POI:= 40.00
minus_GEX:= 40.00
CITMC:= 39.87
if ( ticker == "V" and plotHLines and (timeframe.isintraday or ti
Daily & Pre-Market Key Levels (v5)Plots:
- Today's high/low
- Pre-market High/Low
- Yesterday's high/low/close
- Day before yesterday high/low
My RSI Fib Range Cloud//SOLO900q99This is basically the close price, optionally “stepped” if you set Bars Per Sample > 1.
2. Central Threshold Band (colored line)
• This is an EMA of the resampled price (default length 34).
• It turns:
• Green when RSI is in bullish fib zones,
• Pink when RSI is in bearish fib zones,
• Grey when RSI is in the middle/neutral area.
3. Sigma Range High (green line) and Sigma Range Low (pink line)
• These are an upper and lower band around price.
• The distance from price is based on how much price has been moving recently (average change).
Vector Trinity III: Flow [CVD]**1. Introduction: The Truth Serum**
This indicator is **Part 3** of the "Vector Trinity" trading system. It is the final validator in the decision-making process.
While Part I defines the *Structure* and Part II identifies the *Impulse*, **Part III (Flow)** answers the most critical question in trading: **"Is there real money behind this move?"**
It represents the **Energy Dimension**, analyzing the Cumulative Volume Delta (CVD) to spot true breakouts and expose traps.
* **I: Structure:** Spatial boundaries.
* **II: Impulse:** Momentum timing.
* **III: Flow:** **Capital validation & Divergence detection (Current Indicator).**
**2. Core Logic: CVD Estimation**
True "Delta" requires tick-by-tick data, which is often unavailable or premium-locked. **Vector Trinity III** uses a sophisticated **Intrabar Position Estimation** algorithm to mathematically approximate buying vs. selling pressure:
* **The Math:** It analyzes where the Close sits relative to the High and Low of the candle.
* Close near High = Dominant Aggressive Buying.
* Close near Low = Dominant Aggressive Selling.
* **The CVD:** It accumulates these delta values over time to create a continuous "Flow" line. This reveals the long-term intent of smart money.
**3. The Trend Line & Divergence**
The indicator features a **Grey Trend Line** (EMA of CVD) which serves as the baseline for "Net Flow."
* **Teal Zone (Above Trend):** Net Inflow. Capital is aggressively entering the market, supporting the price.
* **Maroon Zone (Below Trend):** Net Outflow. Capital is leaving the market, suggesting weakness.
**4. The "Trap" Detector (Divergence)**
The primary superpower of this indicator is spotting **Divergences**:
* **The Bull Trap (Fakeout):** Price makes a Higher High, but CVD makes a Lower High (or trends down).
* *Meaning:* The price is rising due to a lack of liquidity, not aggressive buying. **Smart money is selling into the rally.**
* **The Bear Trap (Shakeout):** Price makes a Lower Low, but CVD makes a Higher Low.
* *Meaning:* Smart money is absorbing the selling pressure (buying the dip).
**5. How to Use**
* **The "Trinity" Confirmation:** Before taking a trade based on Part I (Structure) and Part II (Impulse), look at Part III.
* **For a Long Setup:**
1. Price breaks the Structure (Part I).
2. Momentum fires Green/Cyan (Part II).
3. **Flow (Part III) MUST be Teal and rising.**
* **The Veto Rule:** If Price breaks up, but Flow is Maroon/Falling, **CANCEL the trade**. It is likely a trap.
**Settings:**
* **Trend Length:** 20 (Standard trend baseline to determine Net Inflow/Outflow).
---
### **中文说明**
**1. 简介：市场的“测谎仪”**
本指标是“矢量三位一体”交易系统的 **第三部分**。它是决策过程中最后的验证者。
第一部分 (Structure) 定义了结构，第二部分 (Impulse) 识别了脉冲，而 **第三部分 (Flow)** 则回答了交易中最关键的问题：**“这波行情背后有真钱吗？”**
它代表了系统的 **能量维度**，通过分析累积成交量 Delta (CVD) 来识别真正的突破并揭露市场陷阱。
* **I: Structure 结构：** 空间边界。
* **II: Impulse 脉冲：** 动能时机。
* **III: Flow 流向：** **资金验证与背离侦测（本指标）。**
**2. 核心逻辑：CVD 估算算法**
真正的“Delta”数据通常需要逐笔成交数据 (Tick Data)，这往往需要付费数据源。**Vector Trinity III** 使用了一套精密的 **K线内相对位置估算 (Intrabar Position Estimation)** 算法，在数学上逼近真实的买卖压力：
* **算法原理：** 它分析收盘价在 K 线最高价和最低价之间的相对位置。
* 收盘接近最高价 = 主动买入主导。
* 收盘接近最低价 = 主动卖出主导。
* **CVD (累积值)：** 它将这些 Delta 值随时间累积，形成一条连续的“资金流向”线。这揭示了主力资金的长期意图。
**3. 趋势线与背离**
指标包含一条 **灰色趋势线** (CVD 的均线)，作为“净流量”的基准。
* **青色区域 (趋势线上方)：** 净流入。资金正在积极入场，支撑价格上涨。
* **深红区域 (趋势线下方)：** 净流出。资金正在撤离市场，暗示行情虚弱。
**4. “陷阱”侦测器 (背离)**
本指标的核心超能力是识别 **背离 (Divergence)**：
* **多头陷阱 (诱多/假突破)：** 价格创出新高，但 CVD 却创出新低（或趋势向下）。
* *含义：* 价格上涨是因为缺乏流动性（空涨），而不是因为有主动买盘。**主力资金正在借反弹出货。**
* **空头陷阱 (诱空/洗盘)：** 价格创出新低，但 CVD 却在抬高。
* *含义：* 主力资金正在吸收抛压（在此位置吸筹）。
**5. 使用方法**
* **“三位一体”共振验证：** 在根据第一部分 (结构) 和第二部分 (脉冲) 开单之前，必须查看第三部分。
* **做多设置：**
1. 价格突破结构 (Part I)。
2. 动能点火变绿/青色 (Part II)。
3. **资金流 (Part III) 必须呈现青色且向上攀升。**
* **一票否决权：** 如果价格向上突破，但资金流是深红色/下降的，**立即取消交易**。这极大概率是一个陷阱。
**参数设置：**
* **Trend Length (趋势周期)：** 20 (用于确定净流入/流出的标准基准线)。
Black-Out PeriodYou'll need to input the black-out logic of the company you are analyzing manually. For example Liveperson, Insider trading and disclosure policy can be found here:
www.sec.gov
Under paragraph nr 12 we find:
"12.Black-Out Period. During the end of each fiscal quarter and until public disclosure of the financial results for that quarter, persons subject to this Policy may possess material nonpublic information about the expected financial results for the quarter. Even if you don’t actually possess any such information, any trades by you during that period may give the appearance that you are trading on inside information. Accordingly, the Company has designated a regularly-scheduled quarterly “black-out period” on trading beginning with the close of business on the 15th day of the last month of each fiscal quarter (or the close of business on the last day on which The Nasdaq Global Select Market is open prior to such 15th day, in the event that the Nasdaq Global Select Market is not open on such 15th day) and ending at the close of the second full trading day (day on which the relevant stock market is open) after public disclosure of the quarter’s financial results."
So we put in the values "15" and "2"
Note that other rules than those specific dates around earnings applies, and not all employees are subject to the same rules.
FVG MTF Consensus OscillatorFVG MTF Consensus Oscillator
A multi-timeframe, multi-component oscillator that combines momentum, deviation, and slope analysis across multiple timeframes using Zeiierman's Chebyshev-filtered trend calculation. This indicator identifies potential turning points with zone-based signal classification and timeframe consensus filtering.
Backed by ML/Deep Learning evaluation on ES Futures data from 2015-2024.
🎯 Concept
Traditional oscillators suffer from two major weaknesses:
Single measurement - relying on one metric makes them susceptible to noise
Single timeframe - missing the bigger picture leads to fighting the trend
The FVG MTF Consensus Oscillator addresses both issues by combining three independent measurements across three timeframes into a weighted consensus signal.
The Three Components
Momentum - How fast is the trend moving?
Deviation - How far has price stretched from the trend?
Slope - What is the short-term directional bias?
The Three Timeframes
TF1 (Chart) - Your current chart timeframe (lowest weight)
TF2 (Medium) - Typically 1H or 4H (medium weight)
TF3 (High) - Typically 4H or Daily (highest weight)
By requiring agreement across multiple components AND multiple timeframes, the oscillator filters out noise while capturing meaningful, high-probability market movements.
🔧 How It Works
The Core: Chebyshev Type 1 Filter
At its heart, this indicator uses a Chebyshev Type 1 low-pass filter (inspired by Zeiierman's FVG Trend) to extract a clean trend line from price action. Unlike simple moving averages, the Chebyshev filter offers:
Sharper cutoff between trend and noise
Minimal lag for a given smoothness level
Controlled overshoot via the ripple parameter
Three Oscillator Components
1. Momentum Component
Momentum = Current Trend Value - Previous Trend Value
Measures the velocity of the trend. High positive values indicate strong upward acceleration, while high negative values show downward acceleration.
2. Deviation Component
Deviation = Close Price - Trend Value
Measures how far price has stretched away from the trend line. Useful for identifying overextended conditions and mean reversion opportunities.
3. Slope Component
Slope = Change in Trend over 3 bars
Captures the short-term directional bias of the trend itself, helping confirm trend changes.
Normalization & Component Consensus
Each component is individually normalized to a -100 to +100 scale using adaptive scaling. The oscillator output is a weighted average of all three components, allowing you to emphasize different aspects based on your trading style.
Multi-Timeframe Weighting
The final oscillator value combines all three timeframes using configurable weights:
Combined = (TF1 × Weight1 + TF2 × Weight2 + TF3 × Weight3) / Total Weight
Default weights (1, 2, 3) ensure higher timeframes have more influence, keeping you aligned with the dominant trend while timing entries on lower timeframes.
📊 Zone System
The oscillator uses a fuzzy zone system to classify market conditions:
ZoneRangeInterpretationSignal ColorNeutral-5 to +5No clear bias, avoid tradingGrayContinuation±5 to ±25Trend pullback, continuation setupsAquaDeep Swing±25 to ±50Extended move, stronger setupsGreenReversalBeyond ±50Extreme extension, reversal potentialOrange
When "Show Zone Background" is enabled, the background shading darkens as the oscillator moves into more extreme zones, providing instant visual feedback.
📈 Signal Interpretation
Turn Signals
The indicator plots triangular markers when the oscillator changes direction:
▲ Triangle Up (bottom): Oscillator turning up from a low
▼ Triangle Down (top): Oscillator turning down from a high
Signal Quality by Zone
Not all signals are equal. The signal color indicates which zone the turn occurred in:
ColorZoneProbabilityBest UseGrayNeutralLowAvoid or use very tight stopsAquaContinuationModerateTrend continuation entriesGreenDeep SwingHigherSwing trade entriesOrangeReversalHighestCounter-trend with caution
Timeframe Consensus Filter
Signals only fire when the required number of timeframes agree on direction. With default settings (TF Consensus = 2), at least 2 of 3 timeframes must be moving in the same direction for a signal to trigger.
This prevents:
Taking longs when higher timeframes are bearish
Taking shorts when higher timeframes are bullish
Whipsaws during timeframe disagreement
Trend Coloring
The combined oscillator line changes color based on trend direction:
Light purple (RGB 240, 174, 252): Majority of timeframes trending up
Dark purple (RGB 84, 19, 95): Majority of timeframes trending down
Info Table
When MTF is enabled, a table in the top-right corner displays:
Current oscillator values for each timeframe (TF1, TF2, TF3)
Combined value (CMB)
Color coding: Green = rising, Red = falling
⚙️ Settings Guide
Timeframe Settings
SettingDefaultDescriptionEnable Multi-TimeframeOnMaster switch for MTF functionalityTF1 (Chart)"" (current)First timeframe, typically your chart TFTF2 (Medium)60Second timeframe, typically 1HTF3 (High)240Third timeframe, typically 4HTF1/TF2/TF3 Weight1 / 2 / 3Influence of each TF on combined signal
Timeframe Tips:
Keep TF1 ≤ TF2 ≤ TF3 (ascending order)
For day trading: 5m / 15m / 1H
For swing trading: 1H / 4H / Daily
For position trading: 4H / Daily / Weekly
Display Settings
SettingDefaultDescriptionShow All TimeframesOffDisplay individual TF oscillator linesShow Combined LineOnDisplay the weighted combined oscillatorShow Zone BackgroundOffShade background based on current zone
Trend Filter Settings
SettingDefaultDescriptionTrend Ripple4.0Filter responsiveness (1-10). Higher = faster but more overshootTrend Cutoff0.1Cutoff frequency (0.01-0.5). Lower = smoother trendNormalization Length50Lookback for scaling. Longer = more stable
Component Weights
SettingDefaultDescriptionMomentum Weight1.0Emphasis on trend speedDeviation Weight1.0Emphasis on price stretch from trendSlope Weight1.0Emphasis on short-term trend direction
Component Tips:
For trend-following: Increase Momentum and Slope weights
For mean reversion: Increase Deviation weight
Set any weight to 0 to disable that component
Zone Thresholds
SettingDefaultDescriptionNeutral Zone5Inner boundary (±5 = neutral)Continuation Zone25Middle boundary for continuation setupsDeep Swing Zone50Outer boundary for reversal zone
Adjust based on instrument volatility. More volatile instruments may need wider zones.
Signal Filters
SettingDefaultDescriptionSignal Cooldown3Minimum bars between signalsMin Turn Size2.0Minimum oscillator change for valid turnTF Consensus Required2Minimum TFs agreeing for signal (1-3)
💡 Usage Examples
Example 1: Trend Continuation (Dip Buying)
Setup: Uptrend confirmed by higher timeframes
Check the info table - TF2 and TF3 should show green (rising)
Wait for TF1 to pull back, oscillator enters Continuation zone
Enter on Aqua ▲ signal (turn up with TF consensus)
Stop below recent swing low
Target: Previous high or next resistance
Why it works: You're buying a dip in an established uptrend with multi-timeframe confirmation.
Example 2: Deep Swing Entry
Setup: Extended move showing exhaustion
Oscillator reaches Deep Swing zone (±25 to ±50)
At least 2 TFs start showing the same direction
Enter on Green signal indicating momentum exhaustion
Use tighter stop as the move is already extended
Target: Return to Continuation zone or trend line
Why it works: Extended moves tend to mean-revert. The zone system identifies these opportunities.
Example 3: Reversal Setup (Advanced)
Setup: Extreme extension with diverging timeframes
Oscillator reaches Reversal zone (beyond ±50)
Watch for TF1 to turn while TF3 is still extended
Enter on Orange signal - this is counter-trend!
Use smaller position size and wider stops
Target: Return to Deep Swing or Continuation zone
Why it works: Extreme extensions eventually correct. The orange signal marks high-probability reversal points.
Example 4: Avoiding Bad Trades
What to avoid:
Gray signals in Neutral zone - No edge, random noise
Signals against TF3 direction - Fighting the dominant trend
Signals without TF consensus - Timeframe disagreement = choppy market
Multiple signals in quick succession - Let cooldown filter work
🔬 Multi-Timeframe Analysis Tips
Reading the Info Table
The info table shows real-time oscillator values:
| TF1 | TF2 | TF3 | CMB |
| 23.5 | 45.2 | 67.8 | 52.1 |
All green: Strong uptrend across all timeframes
All red: Strong downtrend across all timeframes
Mixed colors: Potential transition or consolidation
Timeframe Alignment States
TF1TF2TF3Interpretation↑↑↑Strong bull - look for long entries↓↓↓Strong bear - look for short entries↑↑↓Pullback in downtrend - caution on longs↓↓↑Pullback in uptrend - caution on shorts↑↓↑Choppy - reduce position size↓↑↓Choppy - reduce position size
The Power of Consensus
With TF Consensus = 2, signals only fire when 2+ timeframes agree. This single filter eliminates most whipsaws and keeps you aligned with the dominant trend.
For more conservative trading, set TF Consensus = 3 (all timeframes must agree).
⚠️ Important Notes
This indicator does not predict the future. It measures current market conditions and momentum across multiple timeframes.
Always use proper risk management. No indicator is 100% accurate.
Combine with price action. The oscillator works best when confirmed by support/resistance, candlestick patterns, or other confluence factors.
Respect the higher timeframe. When TF3 disagrees, trade smaller or sit out.
Zone signals are probabilistic. Orange (reversal) signals have higher probability but aren't guaranteed reversals.
Adjust settings per instrument. Default settings are optimized for ES Futures but may need tuning for other markets.
🧪 ML/Deep Learning Background
The default parameters and zone thresholds were evaluated using machine learning techniques on ES Futures data spanning 2015-2024. This included:
Optimization of component weights
Zone threshold calibration
Timeframe weight balancing
Signal filter tuning
While past performance doesn't guarantee future results, the parameters represent a data-driven starting point rather than arbitrary defaults.
🙏 Credits
This indicator is inspired by Zeiierman's Multitimeframe Fair Value Gap (FVG) indicator, specifically utilizing concepts from his Chebyshev Type 1 filter implementation for trend calculation.
Original indicator: Multitimeframe Fair Value Gap – FVG (Zeiierman)
📝 Changelog
v1.0
Initial release
Three-component consensus oscillator (Momentum, Deviation, Slope)
Multi-timeframe support with weighted combination
Fuzzy zone classification system
Configurable component and timeframe weights
TF consensus filter for signal quality
Signal cooldown and minimum turn size filters
Real-time info table with TF values
Optional zone background shading
Trend SignalSystem Trend Signal — What It Does
Shows you when your trading system says "be long" vs "stay out" — with a trailing line and buy/sell labels only when the state flips.
The Rules Built In:
BUY state requires ALL of these:
Price above 50-DMA (intermediate trend up)
10-DMA above 20-DMA (short-term trend confirmed)
Sell/Buy Pressure Ratio below 1.5 AND flattening or falling (sellers not aggressive)
RSI above 30 and not making lower lows (momentum OK)
SELL state triggers on ANY of these :
Price drops below 50-DMA (trend broken)
Pressure Ratio spikes above 2.0 (heavy selling)
RSI making lower lows AND below 40 (momentum failing)
What You See:
"Buy" label appears only when state flips from sell → buy
"Sell" label appears only when state flips from buy → sell
No spam. One label per flip.
The Trailing Line:
Uses ATR to set distance from price.
In buy state: line = close - (ATR × 2.0), ratchets up only
In sell state: line = close + (ATR × 2.0), ratchets down only
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided.
This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies).
Here is how it works step-by-step:
###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed:
* **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output.
* **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift.
* **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness.
* **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges.
###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**:
For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise.
###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression.
In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used:
* **Level 1:** Convolution every **1** candle.
* **Level 2:** Convolution every **2** candles (skipping one in between).
* **Level 3:** Convolution every **4** candles.
* **Level 4:** Convolution every **8** candles.
Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context).
###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately:
1. Filters the **Open** series.
2. Filters the **High** series.
3. Filters the **Low** series.
4. Filters the **Close** series.
This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`.
###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`).
The code includes a repair section:
```pinescript
real_high = math.max(w_high, w_low)
real_high := math.max(real_high, math.max(w_open, w_close))
// Same logic for Low (math.min)
```
This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point.
---
###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**.
* If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish.
* If it is **red**, the energy is bearish.
* The wicks show volatility that exists within the bounds of the selected decomposition level.
Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach.
---
###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor.
**Differences and Philosophy:**
A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend).
* **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks.
* **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly.
###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently.
**Differences and Philosophy:**
Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly.
The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction.
* **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation.
* **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly.
###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price.
**Differences and Philosophy:**
Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart.
The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays").
* **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies.
* **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market.
###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
