Crypto PCA [LuxAlgo]The Crypto PCA indicator provides a sophisticated, multi-asset sentiment gauge by applying Principal Component Analysis (PCA) to a basket of the top 20 cryptocurrencies.
By extracting the primary driver of variance across these assets, the tool offers a "market-wide" oscillator that filters out individual coin noise to highlight the dominant trend and sentiment shifts in the crypto space.
In modern quantitative finance, PCA is used to reduce dimensionality and identify the underlying factors that move a group of assets. This indicator brings that institutional-grade approach to the retail trader, condensing the price action of Bitcoin, Ethereum, Solana, and 17 other majors into a single, actionable signal.
🔶 USAGE
The script serves as a macro-sentiment oscillator, allowing traders to see the "hidden" force driving the crypto market. It is designed to identify when the market is moving in unison and when that collective movement has reached an extreme.
🔹 Identifying Market Regimes
The primary use of the PCA line (PC1) is to determine the current market regime. When the oscillator is above the zero line and colored green, it indicates that the majority of the top 20 assets are experiencing positive variance, signaling a broad bullish regime. Conversely, when the line is below zero and colored red, the market is in a collective bearish state. Traders can use this to align their individual trades with the direction of the total market energy.
🔹 Using Snapshot Mode for Situational Analysis
While the continuous mode is ideal for long-term trend following, the Snapshot Mode provides a focused view of market dynamics over the most recent lookback window. This mode isolates the current sentiment cycle, allowing traders to see the specific trajectory and "shape" of the latest move without the influence of older historical data.
By enabling Snapshot Mode, you can analyze the immediate internal structure of the market. It is particularly useful for identifying whether a recent pump or dump is a coordinated market-wide event or a more fragmented move. This helps in distinguishing between a broad structural shift and a temporary volatility spike.
🔹 Spotting Overextended Sentiment
The indicator includes dashed horizontal lines at +2 and -2, representing standard deviation thresholds. Because the assets are standardized before calculation, these levels mark statistical extremes.
Overbought Extremes: When the PCA line exceeds +2, the broad market is significantly overextended to the upside. This often precedes a cooling-off period or a mean-reversion event across the entire sector.
Oversold Extremes: When the PCA line drops below -2, it suggests a "panic" or exhausted selling state across the basket. This can signal potential bottoming interest or a relief rally.
🔹 Gauging Relative Strength
The faint "ghost" lines in the background represent the individual standardized price paths of the 20 included assets. By comparing these to the main PCA line, traders can identify leaders and laggards. An asset line that stays consistently above the PCA line during a rally is exhibiting relative strength, while an asset trailing below the PCA line is underperforming the market average.
🔶 DETAILS
The indicator follows a rigorous mathematical pipeline to ensure the data is statistically significant and comparable across assets with different price scales.
🔹 Standardization (Z-Scores)
Before performing PCA, every asset must be on the same scale. The script converts the price of all 20 assets into Z-scores based on the user-defined Lookback Period. A Z-score tells us how many standard deviations a price is from its mean. This allows the movement of a high-priced asset like BTC to be mathematically compared to a lower-priced asset like PEPE.
🔹 The Basket & PCA Approximation
The indicator includes the following assets: BTC, ETH, BNB, XRP, SOL, TRX, DOGE, ADA, BCH, WBTC, XLM, LTC, HBAR, LINK, AVAX, PEPE, DOT, UNI, NEAR, and ICP.
The script uses a correlation-based approximation to find the First Principal Component. It calculates the correlation of each asset to the equally weighted basket and uses these correlations as "loadings" to compute the PC1. This ensures that assets moving in sync with the general market trend are given higher priority in the final oscillator value.
🔹 Why PCA?
Most "Crypto Indices" are simply weighted averages. PCA is superior because it identifies the commonality between assets. If 18 coins are moving up and 2 are moving down, PCA gives more weight to the 18 moving together, as they represent the "Principal Component" of the market's current energy.
🔶 SETTINGS
🔹 Main Settings
Lookback Period (N): Determines the window used for Z-score standardization and PCA calculation. A shorter period makes the indicator more reactive, while a longer period identifies macro-cycle shifts.
Z-Score Smoothing: Applies a Simple Moving Average (SMA) to the standardized asset values before the PCA calculation. This effectively filters out high-frequency noise and produces a smoother principal component line, which is useful for reducing false regime shifts in volatile markets.
Enable Snapshot Mode: Switches the visual output from a continuous rolling line to a static view of the PCA over the most recent lookback window.
🔹 Visual Settings
Standardized Assets Color: Controls the color and transparency of the 20 individual asset lines.
Bull/Bear Colors: Defines the colors used for positive and negative market sentiment.
Disclaimer: This indicator is a statistical tool for sentiment analysis and does not constitute financial advice. The PCA approach measures variance and correlation, not guaranteed future direction.
中心震盪指標
[CT] ORB SuiteThis indicator is an Opening Range first tool that also includes an Initial Balance framework, breakout detection, and a full target and alerting package. It is designed to define a clean Opening Range at the start of the regular trading session and then turn that range into an actionable breakout structure by plotting the key levels, projecting measured targets, and visually confirming the exact breakout candle on your chart. The Opening Range component can be configured as either the first bar of the session or a true time-based duration, such as 1, 2, 5, 10, 15, 30 minutes, or 1 hour, which lets you standardize the opening structure across different chart timeframes without needing to “count bars.” As price prints during the Opening Range window, the script continuously updates the OR high and OR low, then locks those levels once the window closes so you have a stable reference for the rest of the session. The OR area can be shaded for quick visual recognition, and an optional OR midpoint line and label can be displayed to help you judge whether price is accepting above the middle of the range or failing back through it.
Once the Opening Range is formed, the script upgrades the workflow by adding breakout qualification rules that you can control. You can choose confirmation based on a body cross, a close cross, or a close above or below the range boundary, which is a meaningful improvement over simple “touch” logic because it helps reduce false signals and makes the breakout trigger more consistent with how you actually trade. When a breakout is confirmed, the indicator can highlight the breakout candle itself so there is no ambiguity about which bar triggered the signal. You can highlight the candle body, the chart background, or both, and you can select separate colors for long and short breakouts. This makes chart review and live decision-making cleaner because you can immediately see where the breakout truly occurred instead of guessing between several candles that probed the level.
The next major upgrade is the breakout target system. After a long breakout, targets are calculated as true multiples of the Opening Range size, starting from the OR high and projecting upward by the selected multiples. After a short breakout, targets are calculated from the OR low and projected downward by the same multiple logic. By default, the script supports four take-profit targets, TP1 through TP4, with sensible preset multiples that step outward in a structured way, but you can customize each multiple to match your instrument and style. This target system is a practical enhancement because it provides objective, range-based profit-taking levels that align with common intraday expansion behavior rather than arbitrary fixed tick offsets. You also get full control over whether the target lines and labels appear only after a breakout triggers, which keeps the chart clean and prevents “pre-biasing,” or whether you want to see projected targets in both directions before the breakout occurs for planning and scenario mapping. In addition, the target hit detection is configurable so you can decide whether a target is considered “hit” by a simple high or low touch or only after a close crosses the target, which is important for traders who want stricter confirmation and cleaner backtesting logic.
Beyond the OR and targets, the indicator includes a complete Initial Balance module as an additional layer of structure. The IB duration is selectable and independent, and the script can plot IB high, IB low, and an optional IB midpoint, with optional fill shading to make the balance area obvious. A key upgrade here is the ability to base the breakout targets on either the Opening Range or the Initial Balance. This means you can run a pure OR breakout playbook, a pure IB breakout playbook, or compare both structures on the same session without changing indicators. This flexibility matters because OR breakouts tend to be more sensitive and earlier, while IB-based levels often better reflect the session’s early balance and can produce more stable expansion targets.
Another major improvement is the history and session management. The script can freeze all drawings at the end of the session so lines and fills do not incorrectly extend into the next day, and it can optionally keep a configurable amount of history, such as the last 20 sessions, so you can study how price reacts to prior OR and IB structures. You also have control over whether IB should be included in that stored history, which helps if you want a cleaner chart while still retaining the OR context. To support different chart themes and personal preferences, label styling is expanded with controls for label background colors, text colors, transparency, and horizontal offsets, so the levels remain readable without covering price action.
Finally, the alerting system is upgraded into a full set of actionable events. The indicator can generate alerts for session open and session close, for the moment the Initial Balance forms, for the moment the Opening Range forms, for long and short breakouts, and for each target hit from TP1 through TP4. Alerts can be used in standard alertcondition form or as dynamic alert() calls that include price-filled messages, which is a practical enhancement for traders who want their phone or desktop notifications to contain the exact level values rather than generic labels.
This script is a derivative work built on the original Initial Balance foundation authored by © czoa under the Mozilla Public License 2.0, with extensive additions and improvements by © ChaosTrader63 to expand it into a complete Opening Range and Initial Balance breakout suite. The core upgrades are the configurable time-based Opening Range, breakout candle highlighting, multi-target measured range projections through TP4 with optional pre-projection behavior, stricter breakout confirmation modes, target hit rules, richer history controls, stronger label customization, and a comprehensive alert system that turns the session structure into a usable trade planning and execution framework directly on TradingView.
7M Multi-Factor Momentum ScoreboardThe 7M Scoreboard is more than just a collection of indicators; it is a Real-Time Scoring Engine designed for momentum traders and quant-focused analysts. While many scripts simply "mash up" indicators, the 7M Dashboard provides a weighted analytical framework that filters market noise into a single, actionable 7M Score.
It evaluates seven distinct dimensions of market health: Price Action, Relative Volume (Time-specific and Daily), Capital Structure (Float), and Multi-timeframe Trend alignment (VWAP, VWMA, MACD).
Make sure to enable Extended Trading Hours in the TradingView settings.
What makes it original?
The core innovation lies in the 7M Scoring & Alerting logic. Instead of a trader manually checking eight different parameters, the script performs a logical "Pass/Fail" assessment on every bar.
Dynamic Time-Anchored Change: Unlike standard change percentages, this script allows you to anchor the "Starting Price" to the Pre-market (4:00 AM), Regular Open (9:30 AM), or Post-market (4:00 PM).
Relative Volume (RVOL) at Time: It compares the current 5-minute volume not just to recent bars, but to the historical average for that specific time of day, filtering out the standard "lunchtime lull."
Capital Structure Integration: It incorporates a "Float" filter, essential for identifying low-float momentum vs. heavy-cap institutional moves.
How it works
The script calculates a total score out of 9 points based on the following criteria:
Momentum: Is price change > X percent from your chosen time anchor?
Liquidity: Is the 5-minute volume > X million?
Relative Strength: Is Daily RVOL and Time-specific RVOL > X?
Trend Alignment: Is price above VWAP and the 20-period VWMA?
Momentum Convergence: Is the MACD histogram positive?
Volatility Health: Is RSI between 30 and 70 (avoiding extreme over-extension)?
Step-by-Step Guide to Use
Set your Market Type: Open the settings and choose your Price Change Anchor.
Use Pre-Market if you trade the morning "Gap and Go."
Use Regular Open if you are a day-trader focused on the 9:30 AM bell.
Configure Thresholds: Set your Min % Move (e.g., 1.5%) and Min 5m Vol.
Monitor the 7M Score: Look at the bottom row.
Score < 5: High-risk, no clear momentum.
Score 7+: High-probability "7M Pass" setup.
Alerts (Great with TV's Watchlist Alerts)
Right-click the chart and "Add Alert." Select the 7M Dashboard and choose the "🚀 7M PASS" condition to be notified the moment a ticker hits your momentum criteria.
Recommended Settings for Different Assets
Small-Cap Momentum Pre-Market - 4.0% (Change) - 500k (5m Vol) - 50M (Float)
Mega-Cap / Tech Regular - 1.0% (Change) - 1.5M (5m Vol) - 30,000M (Float)
Crypto Intraday Regular - 2.5% (Change) - 1M (5m Vol) - 10,000M (Foat)
Technical Details
Pine Script Version: v6
Visuals: Features a high-contrast UI with adaptive text sizing for the final 7M Score.
Alerting: Includes an optimized alert() function for real-time momentum detection.
Disclaimer
The "7M Multi-Factor Momentum Scoreboard" is a technical analysis tool provided for educational and informational purposes only. Nothing contained in this script, its outputs, or the 7M Score constitutes financial, investment, or trading advice. Trading stocks, futures, and cryptocurrencies involves significant risk of loss and is not suitable for every investor.
No Guarantees: Past performance as displayed by historical indicators is not indicative of future results.
Model Limitations: The 7M Score is based on mathematical calculations of price and volume; it does not account for fundamental news, earnings surprises, or broader macroeconomic shifts.
Personal Responsibility: You are solely responsible for your own trading decisions. Always perform your own due diligence and consult with a licensed financial advisor before putting capital at risk.
Commodity Channel Index - CCI🎯 Overview
This is an enhanced Commodity Channel Index (CCI) indicator that transforms the traditional CCI into a centerline-focused momentum tool with moving average smoothing and comprehensive visual enhancements. Unlike standard CCI which uses ±100 levels, this version focuses on the 50-level centerline for clearer trend direction signals.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.cci() function
📈 Statistical Approach: Measures current price relative to statistical mean
🎯 Scale Modification: Focuses on 50 as neutral (unlike traditional ±100)
📏 Default Length: 55 periods (optimal for medium-term trends)
2. 🎛️ Configuration Parameters
📏 CCI Length: Default 55 periods
📈 CCI MA Length: 30-period moving average
🔄 MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes matching your other indicators
📈 Signal Interpretation:
🟢 BULLISH: CCI > 50 (price above statistical mean)
🔴 BEARISH: CCI < 50 (price below statistical mean)
👁️ Visual Features
📉 Chart Elements:
📊 Main CCI Line:
Shows raw CCI momentum
📈 Signal Line (CCI MA):
Yellow moving average of CCI
30-period default provides smoothed trend
🎨 Fill Zones:
🟢 Upper Zone : Bullish momentum area
🔴 Lower Zone : Bearish momentum area
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" indicator
Purpose: Instant market bias assessment
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Direction Identification
CCI > 50 = Uptrend momentum
CCI < 50 = Downtrend momentum
📊 Extreme Momentum Detection
CCI > 100 = Strong bullish (traditional)
CCI < -100 = Strong bearish (traditional)
CCI near ±300 = Extreme conditions
🔄 Mean Reversion Opportunities
Useful in ranging markets
🎯 Signal Types:
📈 Trend-Following: Stay long when CCI > 50, short when < 50
🔄 Mean Reversion: Fade extreme readings (>100 or <-100)
⚡ Crossover Signals: CCI crossing 50 provides entry/exit points
🎨 Customization Options
🔄 Moving Average Types:
📉 EMA: Exponential - responsive to recent CCI changes
📊 SMA: Simple - smooths CCI equally
📈 RMA: Relative - TradingView's special MA
⚖️ WMA: Weighted - emphasizes recent CCI values
💎 VWMA: Volume-weighted - incorporates volume indirectly
🚀 HMA: Hull - reduces lag on CCI signals
🎨 Visual Themes: (Consistent with your suite)
🎨 Classic: Green/Red (traditional)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when CCI > 50
🔴 SHORT Alert: Triggers when CCI < 50
📧 Format: Includes ticker symbol for portfolio tracking
⚡ Key Advantages
✅ Strengths:
🎯 Clear Centerline Focus: 50-level provides unambiguous trend direction
📊 Statistical Foundation: Based on mean deviation (more robust than simple oscillators)
👁️ Extreme Zone Visualization: ±300 boundaries show momentum extremes
🔄 Versatile Application: Works for both trend-following and mean reversion
📱 Professional Suite: Consistent design with your RSI and SMI indicators
⚡ Optimal Settings:
📈 Trending Markets: 55-period CCI (default)
🔄 Ranging Markets: Shorter periods (20-30)
📊 Volatile Markets: Longer periods (80-100)
📱 Day Trading: 20-period with EMA smoothing
🏆 Unique Features:
Statistical Rigor: Based on mean deviation (not just price differences)
Wide Range: ±300 scale captures extreme movements
Centerline Focus: Clear binary trend signals
Visual Harmony: Consistent with your indicator suite design
This CCI indicator provides a statistically robust approach to trend identification while maintaining the visual consistency and user-friendly design of your trading suite! 📊✨
Futures: NQ Overnight Range (% of Daily ATR)## Futures: NQ Overnight Range (% of Daily ATR) — ORB Trading Guide
### What this indicator does
This indicator is built for **NQ / MNQ futures** and is meant to support **Opening Range Breakout (ORB)** trading.
Because futures trade nearly 24 hours, a lot of important movement happens during **Asia + London**. This script measures the **Overnight Range** from **18:00 to 09:30** (exchange time), then compares it to the market’s **typical full-day movement** using **Daily ATR(14)**.
The goal is simple:
> **Before the open, decide whether the day is more likely to behave like a “chop day” or an “expansion day,” and then choose the ORB style that matches.**
---
## Key terms (plain English)
### Daily ATR(14)
ATR is the average daily movement over the last 14 days.
Think of it as:
> “On a normal day, NQ tends to move about *X* points.”
---
### Overnight Range (18:00–09:30)
This is the distance between the **overnight high** and **overnight low** from 18:00 to 09:30.
Think of it as:
> “How much NQ already moved before the cash open.”
---
### Overnight Range % of ATR
This is the “volatility meter” for the day:
It answers:
> “How much of a normal day’s movement already happened overnight?”
---
## How to interpret the Regime label
This script classifies the day into one of three “regimes”:
### **CHOP-LEANING** (Overnight Range < 25% of Daily ATR)
Overnight was quiet. The open is more likely to be:
* range-bound
* full of fakeouts
* slower follow-through
### **NEUTRAL** (25%–50%)
Normal overnight activity. Either outcome is possible:
* trend or chop
* you must let the open confirm it
### **EXPANSION-LEANING** (Overnight Range > 50%)
Overnight was very active. The open is more likely to:
* move faster
* expand range quickly
* have stronger directional pushes (or sharp swings)
**Important:** Expansion does not guarantee a clean trend. It means **movement is more likely**.
---
# How I use this indicator with ORB (my rules)
This indicator is not a buy/sell signal by itself.
I use it to decide **which ORB style to trade**.
## Step 1 — Check the “Regime” before the open
* If the indicator reads **EXPANSION-LEANING**, I treat it like a momentum environment.
* If the indicator reads **CHOP-LEANING**, I treat it like a confirmation environment.
* If it reads **NEUTRAL**, I stay selective and let price action confirm.
---
## Step 2 — ORB Execution Rules
### ✅ If **EXPANSION-LEANING** (momentum day)
**Goal:** Catch the move early and avoid missing the breakout.
**My ORB plan:**
* Build my opening range using the **5-minute ORB**
* Enter on a **break of the ORB level**
* Use the **1-minute timeframe** for the actual entry trigger
**How I confirm the break:**
* I want a clean break through the ORB level (not just a wick touch)
* If price snaps immediately back inside the ORB, I avoid chasing
This approach fits expansion days because the market can move quickly and waiting for perfect retests can cause you to miss the push.
---
### ✅ If **CHOP-LEANING** (confirmation day)
**Goal:** Avoid fakeouts and only enter when the break proves itself.
**My ORB plan:**
* Build my opening range using a **15-minute ORB**
* I do **not** enter on the first break
* I wait for a **break and retest**
* Then I use the **5-minute timeframe** to confirm the retest holds before entry
This fits chop days because breaks fail more often, so I require confirmation before committing.
---
### ✅ If **NEUTRAL**
**Goal:** Reduce low-quality trades.
**My ORB plan:**
* Treat it as “wait and see”
* Only take the break if price shows strong conviction (hold outside ORB)
* If price is whipping in and out of the range, I skip the trade
---
## Best practices
* This indicator works best on **1m / 5m / 15m charts** so the overnight high/low is captured accurately.
* Times are based on the symbol’s **exchange time**.
* Use proper risk management—futures can move fast, especially on expansion days.
---
## Disclaimer
This script is for educational purposes only and is not financial advice. Futures trading carries significant risk. Always use risk management and test any approach before trading live.
---
Momentum - MOM🎯 Overview
This is an advanced Momentum - MOM indicator that measures absolute price change over time, combined with dynamic moving average filtering. Unlike basic MOM implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise price momentum identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.mom() function which calculates absolute price difference between current price and price N periods ago
📈 Dual Analysis Components:
MOM Line: Absolute price change oscillator (unbounded range based on price)
MA Filter: Customizable moving average acting as momentum baseline
Momentum Zones: Gradient fills for strong positive and negative momentum extremes
⚡ Absolute Change Measurement: Unique ability to quantify the actual price movement in points/currency units
2. 🎛️ Configuration Parameters
📏 MOM Length: Default 14 periods (standard momentum setting)
🔄 MA Filter Settings:
Length: Customizable (default 365 periods)
Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes consistent with your indicator suite:
Classic, Modern, Robust, Accented, Monochrome
📊 Signal Interpretation:
🟢 BULLISH: MOM > MA Filter (price momentum above baseline)
🔴 BEARISH: MOM < MA Filter (price momentum below baseline)
🚀 STRONG BULLISH: (extreme positive momentum)
📉 STRONG BEARISH: (extreme negative momentum)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Strong Bullish zone : Green gradient intensifying toward higher values
Strong Bearish zone : Red gradient intensifying toward lower values
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: MOM line changes color based on position relative to MA
⚡ Midline Reference: Subtle 50-level reference line for scale orientation
⚡ Trading Applications
📈 Primary Uses:
🎯 Absolute Momentum Measurement:
MOM > MA = Bullish price momentum
MOM < MA = Bearish price momentum
MOM = 0 = No net price change over period
💪 Momentum Strength in Price Terms:
Shows actual points/currency gained or lost
Useful for position sizing and risk management
More intuitive than percentages for some traders
🚨 Extreme Momentum Signals:
Extreme Bullish: (major price appreciation)
Extreme Bearish: (major price depreciation)
📊 Zone Analysis:
🟢 Strong Bullish Zone :
Green gradient fills
Indicates substantial price gains over the period
Often signals strong trend continuation or potential exhaustion
🔴 Strong Bearish Zone :
Red gradient fills
Indicates substantial price losses over the period
Often signals strong downtrend or potential reversal
🟡 Equilibrium: Yellow MA line acts as momentum baseline filter
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both MOM line and MA filter
🎨 Gradient Visualization: Automatic fill for extreme momentum conditions
📋 Status Dashboard: Clear bullish/bearish momentum indication
📈 Customizable MA: Choose from 6 different moving average types
📏 Wide Dynamic Range: ±15,000 levels accommodate various asset price ranges
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional momentum colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when MOM crosses above MA
🔴 SHORT Alert: Triggers when MOM crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Price-Based Analysis: Measures actual price movement in understandable units
💪 Absolute Value Interpretation: Shows exact points gained/lost over period
👁️ Clear Trend Momentum: MA filter separates noise from meaningful momentum
🔄 Flexible Across Assets: Works equally well with stocks, crypto, forex, etc.
📊 Professional Dashboard: Immediate momentum status recognition
📊 Optimal Settings:
⚡ Short-term Trading: MOM Length 10-14, MA Length 20-50
📊 Medium-term Trading: MOM Length 14-20, MA Length 50-100
📈 Long-term Trading: MOM Length 20-30, MA Length 100-365
🏆 Unique Features:
🎯 Absolute Price Measurement: Shows exact price change, not percentages
📊 Extreme Thresholds: ±15,000 levels for major momentum identification
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Momentum Dashboard: Quick visual confirmation of price momentum
🔧 Direct Price Analysis: No conversion needed - shows actual market movement
🔄 Trading Strategies
1. Price Momentum Strategy:
Go LONG when MOM crosses above MA with positive values
Go SHORT when MOM crosses below MA with negative values
Strong signals when MA crossover aligns with extreme zones
2. Momentum Divergence:
Price makes higher high, MOM makes lower high → Bearish divergence (momentum weakening)
Price makes lower low, MOM makes higher low → Bullish divergence (selling pressure decreasing)
3. Trend Strength Assessment:
Large positive MOM values = Strong uptrend momentum
Large negative MOM values = Strong downtrend momentum
MOM near zero = Consolidation or trend change
📈 Performance Tips
Asset-Specific Thresholds: Adjust ±15,000 levels based on typical price ranges
Zero Line Significance: MOM crossing zero often precedes trend changes
Extreme Readings: Very high/low MOM values may indicate exhaustion moves
Multiple Timeframes: Compare MOM values across timeframes for confirmation
Combine with Volume: Add volume analysis to confirm momentum moves
This enhanced Momentum indicator provides professional-grade price-based momentum analysis with intuitive visualization, allowing traders to measure exact price movements, identify momentum trends in absolute terms, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊📈
Commodity Channel Index - CCIOverview
This enhanced Commodity Channel Index (CCI) indicator provides traders with a sophisticated visualization of market momentum and trend direction. By combining the classic CCI oscillator with customizable moving averages and advanced visual features, it offers clear signals for identifying bullish and bearish market conditions.
Core Functionality
Indicator Components
CCI Oscillator - Measures how far current price deviates from its statistical average
Moving Average Filter - Smooths CCI values using your choice of 7 MA types
Visual Zones - Color-coded overbought/oversold areas with gradient fills
Market Bias Display - Prominent bullish/bearish label for quick interpretation
Key Features
📊 Customizable Calculations
Adjust CCI period (default: 55) for sensitivity tuning
Select MA type (EMA, SMA, WMA, HMA, etc.) and period (default: 30) for smoothing
Flexible moving average system supporting multiple calculation methods
🎨 Advanced Visualization
Dynamic Color Coding: CCI line turns green when bullish (>50), red when bearish (≤50)
Gradient Fill Zones:
Green gradient between CCI and midline for overbought region (200 to 0)
Red gradient between CCI and midline for oversold region (0 to -100)
Multiple Plot Layers: CCI line, MA line, midline, and fill areas for comprehensive view
🔍 Clear Signal Interpretation
Bullish Condition: CCI > 50 (green zone)
Bearish Condition: CCI ≤ 50 (red zone)
Overbought Warning: CCI in upper gradient zone
Oversold Opportunity: CCI in lower gradient zone
📱 User-Friendly Display
Large "⬆️ Bullish" or "⬇️ Bearish" label in corner for immediate bias assessment
Thick CCI line (width 3) for easy visibility
Yellow MA line for trend direction confirmation
Trading Applications
Trend Identification
Use CCI position relative to 50 midline for trend bias
MA line confirms trend strength and direction
Long periods (110/30) optimized for capturing sustained trends
Potential Reversal Zones
Gradient fills highlight overbought/oversold extremes
Watch for CCI crossing the 50 level for trend change signals
Combine with MA line crosses for confirmation
Market Sentiment Assessment
Quick visual scan of color reveals current market bias
Label provides unambiguous bullish/bearish classification
Multiple timeframes supported through adjustable periods
Usage Recommendations
📈 For Trend Following:
Trade in direction indicated by CCI > 50 (bullish) or ≤ 50 (bearish)
Use MA line as dynamic support/resistance for CCI
Consider entries when CCI pulls back toward 50 in trend direction
🔄 For Mean Reversion:
Watch for extremes in gradient zones for potential reversals
Monitor for CCI crossing back through 50 after reaching extremes
Use MA line as confirmation for reversal validity
⚖️ For Confirmation:
Pair with other indicators for signal confirmation
Use as secondary tool to validate primary trading system signals
Adjust periods to match your trading timeframe
Customization Options
CCI Length: Adjust sensitivity (higher = smoother, lower = more responsive)
MA Type & Length: Choose smoothing method and period
Visual Elements: All colors and fills are built-in but based on logic conditions
Unique Advantages
Immediate Clarity: Color-coding and label remove interpretation ambiguity
Enhanced Visualization: Gradient fills provide intuitive overbought/oversold zones
Dual Analysis: Combines oscillator (CCI) with trend tool (MA) in one view
Flexible Configuration: Multiple MA types accommodate different trading styles
This indicator transforms the traditional CCI into a comprehensive trading tool that provides clear visual cues for market direction, momentum extremes, and trend confirmation—all in a single, customizable package.
Directional Movement Index - DMIThis Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features.
📊 Core Indicator Components:
1. Directional Indicators:
+DI (Green line): Measures upward trend momentum
-DI (Red line): Measures downward trend momentum
ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off)
2. Key Calculations:
Uses built-in ta.dmi() function to calculate all three components
isBull condition: Determines current bias based on which DI line is higher
Bull signal: When +DI crosses above -DI
Bear signal: When +DI crosses below -DI
🎨 Visual Design Features:
1. Chart Plotting:
Thick lines (width=3) for +DI and -DI for better visibility
Color-coded plots: Green (+DI), Red (-DI), Blue (ADX)
2. Background Highlighting:
Light green background on bullish crossovers
Light red background on bearish crossovers
Uses 60% transparency for subtle visual cues
3. Real-time Status Panel:
Fixed table in the middle-right of the chart
Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text
Updates on every bar to show current market bias
4. Line Labels:
Text labels at the right edge identifying each line
Color-matched to their respective indicators
ADX label only appears when ADX is enabled
⚙️ User Controls:
ADX toggle: Show/hide the ADX line
DI Length: Adjust calculation period (default 17)
ADX Smoothing: Fine-tune ADX smoothing (default 1)
📈 Trading Application:
Trend Identification: Which direction has stronger momentum
Signal Generation: Crossovers indicate potential trend changes
Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak
Visual Clarity: Multiple visual cues make signals easy to spot
🖥️ Display Logic:
The script intelligently handles what to display based on user settings
When ADX is disabled, it plots na (not available) to avoid scale distortion
All visual elements update dynamically with each new bar
🎯 Unique Aspects:
Multi-layered visualization: Combines lines, background colors, labels, and a status table
Clean separation: Uses box-drawing characters to organize code sections
Right-edge labeling: Makes indicator identification clear even on crowded charts
Immediate bias recognition: The large text table provides instant market bias assessment
This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
MACD RSI EMA AGGRESSIVE + ATR SLTP (ALL COIN)This indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
Gold AI: Hyper-Frequency 1minute Scalper The Gold AI: Hyper-Frequency is a high-precision scalping tool specifically engineered for the unique volatility of XAUUSD on lower timeframes (1m, 5m). Unlike traditional lagging indicators, this script utilizes a Lorentzian Distance Classifier —a machine learning approach that finds historical price fractals similar to current market conditions to predict the next high-probability move.
This indicator is designed for "Hyper-Frequency" trading, meaning it prioritizes capturing multiple micro-moves while using a three-stage Dynamic Take Profit system to let "runners" extend during strong momentum bursts.
█ THE AI CORE: LORENTZIAN CLASSIFICATION
Instead of standard Euclidean distance, this script employs Lorentzian Distance . This metric is superior for financial time series because it is less sensitive to extreme outliers, allowing the AI to identify patterns in "noisy" 1-minute gold charts that other models might miss.
The AI evaluates three key "features" to find matches: 1 — RSI (7): Momentum and overbought/oversold status. 2 — MFI (7): Money Flow Index to track institutional volume. 3 — ROC (3): Rate of Change to detect immediate velocity.
█ DYNAMIC PROFIT SCALING
To solve the "Gold Problem"—where price often spikes past targets or reverses instantly—we implemented a 3-Stage Profit Extender:
• Stage 1 (Initial TP): Targets a quick scalp (default 1.0 ATR). • Stage 2 (Extension): If momentum remains strong, the TP is automatically pushed further. The Stop Loss moves to Breakeven at this stage. • Stage 3 (Moonshot): For high-velocity moves, the TP extends to a major multiplier while the Stop Loss trails the previous candle's high/low.
█ KEY FEATURES
• K-Neighbors Engine: Analyzes the 'K' most similar historical instances to generate buy/sell "votes." • Sensitivity Control: Adjust how strictly the AI matches patterns. Lower values = higher accuracy; higher values = more frequent trades. • Volatility Filter (ATR): All targets and stops are mathematically pegged to current volatility, ensuring the script adapts whether the market is quiet or explosive. • Volume Gatekeeper: Filters out "fake-outs" that occur on low-volume retail spikes.
█ HOW TO USE
Asset: Optimized for XAUUSD (Gold).
Timeframe: Best performance on 1m or 5m charts.
Session: High-frequency signals are most reliable during London and New York sessions.
Confirmation: For maximum safety, enable the "Filter by 200 EMA" in settings to only take trades in the direction of the macro trend.
Disclaimer: Trading Gold involves high risk. This AI tool is designed to assist in decision-making and pattern recognition. Always perform your own due diligence and use proper risk management. Past performance does not guarantee future results.
Directional Movement Index (DMI)This Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features.
📊 Core Indicator Components:
1. Directional Indicators:
+DI (Green line): Measures upward trend momentum
-DI (Red line): Measures downward trend momentum
ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off)
2. Key Calculations:
Uses built-in ta.dmi() function to calculate all three components
isBull condition: Determines current bias based on which DI line is higher
Bull signal: When +DI crosses above -DI
Bear signal: When +DI crosses below -DI
🎨 Visual Design Features:
1. Chart Plotting:
Thick lines (width=3) for +DI and -DI for better visibility
Color-coded plots: Green (+DI), Red (-DI), Blue (ADX)
2. Background Highlighting:
Light green background on bullish crossovers
Light red background on bearish crossovers
Uses 60% transparency for subtle visual cues
3. Real-time Status Panel:
Fixed table in the middle-right of the chart
Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text
Updates on every bar to show current market bias
4. Line Labels:
Text labels at the right edge identifying each line
Color-matched to their respective indicators
ADX label only appears when ADX is enabled
⚙️ User Controls:
ADX toggle: Show/hide the ADX line
DI Length: Adjust calculation period (default 17)
ADX Smoothing: Fine-tune ADX smoothing (default 1)
📈 Trading Application:
Trend Identification: Which direction has stronger momentum
Signal Generation: Crossovers indicate potential trend changes
Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak
Visual Clarity: Multiple visual cues make signals easy to spot
🖥️ Display Logic:
The script intelligently handles what to display based on user settings
When ADX is disabled, it plots na (not available) to avoid scale distortion
All visual elements update dynamically with each new bar
🎯 Unique Aspects:
Multi-layered visualization: Combines lines, background colors, labels, and a status table
Clean separation: Uses box-drawing characters to organize code sections
Right-edge labeling: Makes indicator identification clear even on crowded charts
Immediate bias recognition: The large text table provides instant market bias assessment
This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
Weighted Volume ROC OscillatorWeighted Volume ROC Oscillator (WVRO | MisinkoMaster)
The Weighted Volume ROC Oscillator is a sophisticated trend-following tool that leverages a volume-weighted Rate of Change (ROC) calculation on a double-smoothed source. Designed to capture both trend direction and strength with minimal noise, this oscillator also highlights potential reversal points, making it an effective tool for fast-moving markets like ETHUSD.
By combining volume weighting with advanced smoothing techniques, the WVRO provides a responsive yet stable indicator to help traders make more informed decisions during trending conditions.
🔍 Concept & Idea
The core idea behind the WVRO is to develop a high-speed oscillator capable of smoothly following trends while remaining sensitive to rapid changes. The ROC is a natural choice for momentum measurement, but raw ROC alone can be noisy.
To improve stability and responsiveness:
The input source is smoothed twice using Weighted Moving Averages (WMA) with a length proportional to the square root of the user-defined length, reducing noise while preserving fast reactions.
The ROC is then weighted by volume to emphasize price movements during high-volume periods, increasing the significance of meaningful trades.
Finally, a volume-weighted average of the ROC is calculated to normalize the signal.
This combination balances smoothness and speed, improving signal clarity in trending markets.
⚙️ How It Works
Double WMA Smoothing of Source:
First, apply a WMA with length √len to the selected source to filter noise but retain responsiveness.
Apply a second WMA with the same length to the first smoothed series for additional smoothing.
Volume-Weighted ROC Calculation:
Calculate ROC on the double-smoothed source over one bar.
Multiply the ROC by the current volume, weighting price changes by trading activity.
Normalization and Oscillator Computation:
Calculate an Exponential Moving Average (EMA) of the volume-weighted ROC over the full length.
Divide by the sum of volume over the same length to normalize, then scale to a range centered near zero.
Trend Logic:
Positive WVRO values indicate bullish momentum (trend up).
Negative values indicate bearish momentum (trend down).
Momentum Divergence:
The difference between the current WVRO and its prior value is smoothed with EMA and plotted as a histogram to help identify potential momentum shifts and reversals.
🧩 Inputs Overview
Oscillator Length – Controls the main smoothing and lookback length of the oscillator (default 17).
Source – The price source used for calculation, defaulting to the average of high, low, close, and close (hlcc4).
📌 Usage Notes
Responsive Yet Smooth: The double WMA smoothing ensures the oscillator is less prone to noise but remains quick to react to market changes.
Volume Weighting: Emphasizes price moves on higher volume bars, improving signal reliability in volatile markets.
Trend Identification: Positive and negative readings provide clear trend signals, while divergence histograms highlight potential turning points.
Visual Clarity: Color-coded plots and background highlighting assist quick interpretation.
Optimized for ETHUSD: Especially effective in high-liquidity, high-volatility assets like Ethereum.
Complement with Other Tools: Use alongside price action or other indicators to confirm trends and entry/exit points.
Backtest and Validate: Always validate settings on your chosen asset and timeframe before live use.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform due diligence before trading.
Enjoy enhanced trend following with the Weighted Volume ROC Oscillator!
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator!
MACD Standard DeviationMACD Standard Deviation
The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness.
🚀 Benefits
• Strong performance on assets like BNBUSDT
• Faster entries with reduced signal noise
• Simple and efficient calculation method
• Improved trend clarity compared to classic MACD
💡 Core Idea
The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves.
⚙️ How It Works
A standard MACD is calculated using selected moving averages.
Standard deviation of the MACD is computed over a chosen period.
Upper and lower dynamic levels are derived from MACD median and volatility.
These adaptive bands help filter false signals and better capture trend direction.
The result is a smoother, more stable MACD-based trend tool.
📌 Usage Notes
• Crosses around the zero line indicate potential trend shifts.
• Expanding band distance suggests rising momentum volatility.
• Contracting distance often signals consolidation phases.
• Histogram changes help visualize acceleration or weakening momentum.
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
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Simple EFI + EMASimple Elder Force Index (EFI) with EMA Signal is a minimal momentum indicator that measures buying and selling pressure by combining price change and volume. The raw Force Index is smoothed with an Exponential Moving Average to reduce noise, and an additional EMA signal line helps visualize momentum shifts and trend strength. A zero line is included to quickly distinguish bullish (> 0) from bearish (< 0) conditions. This stripped-down version is designed for clarity and fast decision-making without extra filters or alerts.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
By Ludovic B
Modified source code of SeerQuant
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
based on Seequant indicator
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
Bitterroot Trader RelVol vs SPYHelp understand specific stock momentum verses the market (SPY). This shows the relative volume at time and also the average trade range number.
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score.
By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash.
Why this version is superior
In a classic Z-Score calculation:
Z = (Price - SMA) / (Standard Deviation)
A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling.
The ATR-Based Solution:
Z = (Price - SMA) / ATR
By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts.
Key Features
Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements.
Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points.
Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes.
How to Trade with it
1. Mean Reversion (Buy the Dip / Sell the Rip)
Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line.
Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line.
2. Breakout Trading
A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout.
In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading.
Summary
✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
Dual MomentumEnter your assets using the data you got from the sheet and the indicator will tell you when to buy or get back to cash based off the momentum of these assets
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