Simple Line📌 Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
⚙️ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
📈 Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
📉 Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
🧪 Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
🔒 Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend.
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Trend
Filter Ribbon1. Indicator Name
Filter Ribbon
2. One-line Introduction
A trend visualization ribbon that uses linear regression and directional scoring to highlight bullish and bearish strength with intuitive color gradients.
3. General Overview
Filter Ribbon is a minimalistic yet powerful trend visualization tool that leverages linear regression slope ordering to determine directional momentum. It analyzes the ordering of regression values over a defined lookback period and quantifies how consistently the price has been trending upward or downward.
Using a pairwise comparison system, it calculates a trend "score" and compares this to a configurable threshold to determine if a bullish, bearish, or neutral condition exists.
The result is a color-coded ribbon that sits over the chart, changing hue and opacity based on both the direction and strength of the trend. The stronger the directional alignment, the more opaque the ribbon becomes, offering traders a fast, intuitive way to assess market sentiment at a glance.
It also includes an optional linear regression line to further help visualize the central trend.
This indicator is best used in trend-following systems or as a dynamic background layer when combined with signal-based strategies.
Thanks to its efficient design and protected logic, Filter Ribbon offers high-performance visualization without compromising strategy integrity.
4. Key Advantages
🌈 Visual Trend Heatmap
Dynamic color ribbon gives real-time visual feedback on both trend direction and strength.
🔢 Quantified Trend Scoring
Calculates a mathematically sound trend score using pairwise linear regression comparisons.
⚖️ Adjustable Sensitivity
Users can tune lookback and threshold parameters to fit different asset classes and timeframes.
📉 Smooth Ribbon Effect
Plots upper/lower bands around regression line with smooth filling for a professional chart look.
🎯 Precise Trend Confirmation
Acts as a confidence layer for other entry/exit signals by confirming broader trend bias.
🔒 Secure and Minimal Codebase
Core logic is embedded securely with minimal exposure, reducing risk of replication or misuse.
📘 Indicator User Guide
📌 Basic Concept
Filter Ribbon determines trend direction and intensity by comparing the order of linear regression values over time.
It forms a ribbon on the chart that changes color based on trend direction and opacity based on trend strength.
This makes it ideal for identifying clear trending periods vs. uncertain consolidations.
⚙️ Settings Explained
Lookback Period: Number of bars for scoring the trend direction (higher = smoother trend)
Range Tolerance (%): Determines how aggressive the trend classification is (lower = stricter)
Regression Length: Period for calculating the base linear regression line
Ribbon Colors: Customize colors for bullish and bearish conditions
📈 Bullish Timing Example
Ribbon color is green and becomes increasingly opaque
Regression line slopes upward and price remains above it
Can be used as trend confirmation for long trades
📉 Bearish Timing Example
Ribbon color is red with higher opacity
Price consistently below the regression line
Useful for confirming short trade setups or avoiding long entries
🧪 Recommended Use Cases
Combine with breakout indicators to validate if the breakout aligns with broader trend
Use in swing or trend-following strategies as a background filter
Helps filter out trades during unclear, sideways market conditions
🔒 Precautions
Not a signal generator on its own — meant for trend context only
Ribbon may lag slightly during sudden trend reversals; best used with reactive entry tools
Always test ribbon parameters on your specific market/timeframe before applying live
Avoid using solely in low-volatility or flat markets — sensitivity may require tuning
+++
Volume Pulse [ziksfx]Volume Pulse is a clean volume indicator designed to make it easier to read meaningful changes in activity without cluttering your chart. It enhances the standard volume view by supporting both classic volume and dollar volume , highlighting spikes and extreme bars and adding a compact label on the latest bar so you always see the current volume value at a glance. The script is intended to be used in a separate volume pane.
How it works
– Supports two modes: standard volume or dollar volume (close × volume).
– Colors volume bars by candle direction (up/down). Optionally, it can:
• highlight volume spikes above a moving average;
• mark the highest-volume bar over a user-defined lookback period.
– Plots a simple moving average of volume so you can quickly see when activity is above or below typical levels.
– On the latest bar, shows a small label with the current volume value, automatically abbreviated (K / M / B) and optionally prefixed with “$” in dollar-volume mode.
Inputs & customization
– Volume type: choose between standard volume and dollar volume.
– Volume MA length: controls how sensitive the moving average is to recent changes in activity.
– Spike highlighting: optional, turns on/off coloring for bars where volume exceeds the moving average.
– Highest-volume bar lookback: sets the period for detecting the highest-volume bar.
– Label position: choose whether the last-bar label appears on the left or right side of the bar, and optionally shift it slightly above the bar for better readability.
Use cases
Use Volume Pulse to:
– Spot sudden spikes in volume and compare them to the recent average.
– Identify sessions or candles with unusually high activity relative to a chosen TF.
– Visually study how volume behaves around price moves, breakouts or potential fakeouts to better understand their strength or weakness.
– Keep track of the latest bar’s volume instantly, without having to read the raw scale values.
This indicator works on any symbol that has volume data (stocks, futures, crypto and more), but volume quality may vary between markets and instruments. It is intended as an analytical and educational tool only: it does not constitute financial advice and does not provide or guarantee any trading results. Always combine volume context with your own analysis and risk management.
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community.
It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe.
🔧 Modes
Trendline type
Wicks – classic trendlines anchored on candle wicks (high/low).
Bodies – trendlines anchored on candle bodies (open/close), great for closing structure.
Channel – 3-line channel:
outer lines form a band around price
middle line runs through the centre of the channel
thickness is adjustable (Small / Medium / Large).
Trend strength
Controls how strong the pivots must be to form a line.
Weak → more lines, reacts faster.
Medium → balanced, good for most pairs.
Strong → only the cleanest swings, higher-probability trendlines.
🎨 Visual controls
Max support / resistance lines – cap how many lines are kept on chart.
Show broken lines – hide broken trendlines or keep them for structure history.
Extend lines – None / Right / Both.
Support / Resistance colors – separate colors for active vs broken.
Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price).
Channel outer lines – color for channel edges.
Channel middle line – color + style (dotted / dashed / solid).
Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out.
🧠 How to use
Add the indicator to any chart.
Start with:
Trendline type: Wicks
Trend strength: Strong
Max lines: 1–2 for both support & resistance
Once you like the behavior, experiment with:
Switching between Wicks / Bodies / Channel
Adjusting Channel thickness and Trend strength
Use the lines as a visual confluence tool with your own strategy:
HTF trend direction
LTF entries / retests
Liquidity grabs around broken lines
This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge.
⚠️ Disclaimer
This tool is for educational and visual purposes only and is not financial advice.
Always do your own research and manage risk.
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100.
This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements
Value Interpretation:
0-25: Weak trend or sideways market
25-50: Moderate to strong trend
50-75: Very strong trend
75-100: Extremely strong trend (rare)
Important: ADX does not indicate trend direction (up/down), only its strength!
This script indicator includes additional features:
1. ADX Plot (purple line)
Basic ADX value showing current trend strength.
2. ADX Trend Analysis (arrows)
The script compares current ADX with its 10-period moving average with ±5% tolerance:
↑ (green): ADX rising → trend strengthening
↓ (red): ADX falling → trend weakening
⮆ (gray): ADX stable → trend strength unchanged
3. Information Table
Displays current ADX value with trend arrow in the top-right corner.
Parameters to Configure
Smoothing (default: 14) - Indicator smoothing period
Lower values (e.g., 7): more sensitive, more signals
Higher values (e.g., 21): more stable, less noise
Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI)
Wilder's standard value is 14
Trend Length (default: 10) - Period for moving average to analyze ADX dynamics
Determines how quickly changes in trend strength are detected
Practical Application
✅ Strategy 1: Trend Strength Filter
1. ADX > 25 → look for positions aligned with the trend
2. ADX < 25 → avoid trend strategies, consider oscillators
✅ Strategy 2: Entries on Strengthening Trend
1. ADX crosses above 25 + arrow ↑ → trend gaining momentum
2. Combine with other indicators (e.g., EMA) for direction confirmation
✅ Strategy 3: Exhaustion Warning
1. ADX > 50 + arrow ↓ → strong trend may be exhausting
2. Consider profit protection or trailing stop
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price.
Main Features
1. ATR% Chart
The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example:
ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value
Higher values = greater volatility (higher profit potential, but also greater risk)
Lower values = lower volatility (calmer market)
2. Volatility Trend Analysis
The indicator automatically detects whether volatility is rising, falling, or stable:
Up arrow (↑) - volatility is rising (price becomes more "nervous")
Down arrow (↓) - volatility is falling (market is calming down)
Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average)
3. Information Table
In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding:
- Green = rising volatility
- Red = falling volatility
- Gray = stable volatility
Parameters to Configure
Indicator Length (default: 14) - How many candles back to include in calculations:
Lower values (5-10): more sensitive to sudden changes, reacts faster
Higher values (20-30): more smoothed, shows long-term volatility picture
Trend Length (default: 10) - Period to analyze whether volatility is rising/falling:
Lower values: faster trend change signals
Higher values: more reliable, but slower signals
Sample Interpretations
ATR% Volatility Asset Type/Situation
< 1% Very low Stable blue-chip stocks, calm market
1-3% Low-medium Typical stocks, normal conditions
3-5% Medium-high Volatile stocks, cryptocurrencies at rest
5-10% High Cryptocurrencies, penny stocks
> 10% Extremely high Market panic, crash, pump & dump
ATH/ATL/DaysThis indicator displays the All-Time High (ATH) and All-Time Low (ATL) — or more precisely, the highest and lowest price within the last N days. It works on any timeframe and uses only local chart data (no security() calls), ensuring stable and accurate results.
It plots horizontal lines for both the ATH and ATL and includes a clean, compact table showing:
Date of the extreme
Days since it occurred
Price
% distance from current price
$ distance from current price
A reliable tool for identifying local extremes, spotting market structure shifts, and tracking short-term price ranges.
Plus Screener [ChartPrime]The Plus Screener is designed to provide a broad vision of market conditions across selected asset classes. These models include low-lag filtering, directional bias estimation, pressure gradient calculations, probabilistic states, reversal inflection modelling, candlestick structure classification, and volatility phase metrics.
By combining these metrics the aim is to provide the user with a blanket breakdown at a glance of all key market systems and states.
Underlying Components
This section defines the technical foundations of the screener’s calculations and each column.
Low-Lag Trend Engine
The trend signals / trend-detection module based on recursive low pass filtering and phase compensation techniques to minimize delay typically seen in classical trading signals.
It produces directional states by evaluating:
- filtered slope
- rate-of-change
- smoothing derivative
- trend persistence score
This engine forms the primary input for the Trend Signals column. By combining these evaluations the trend signals offer unique insights.
A plus next to the signal shows that the signal is stronger in nature and a more violent market reaction could be occurring. A tick next to the signal suggests a system take profit (derived from ATR) was reached. This could suggest taking this trade is less likely to be profitable as we already have overextended.
A vital feature of The Prime Screener is its adaptability and customizability.
Users can refine the tuning and responsiveness of signals through the settings and tuning input, offering a tailored experience to individual trading preferences.
For example; a trader that wants to scan for longer term swing moves might want to consider using a higher tuning input. A scalper however might want to use a lower value for higher frequency signals.
Dynamic Reactor Model
The Dynamic Reactor provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique low lag adaptivity calculations gives this plot a unique and fast behavior. This gives a unique edge to standard high length moving averages.
This model approximates buying/selling force without relying on volume data, instead inferring pressure from displacement behaviour.
Quantum Reactor System
The quantum reactor is a custom weighted moving average analyzing trends in the market. Unlike other moving averages; weighting has been considered to account for ranging markets. The Reactor will turn gray in a ranging market to avoid chop allowing for filtering of trades. This offers a unique insight into price action. Classical moving averages will constantly attempt to re-adapt to a trend whereas the Reactor will avoid adaptation where it sees fit.
The Quantum Reactor column therefore shows the current state of this calculation making for easy volume analysis at a glance.
Candlestick Structure Classifier
Beyond signal identification, the screener incorporates a comprehensive analysis of candle patterns and potential reversals. Employing contrarian logic, the tool highlights key reversal signals on assets. Additionally, the screener accommodates ChartPrime's candlestick pattern identification, contributing a predictive element for anticipating market reversals or continuations.
These candle sticks are detected via traditional candle formations however it is important to note these are filtered. By looking for reversal candles with correct momentum attributes we can create a unique candlestick detection system.
Only patterns with statistically relevant characteristics are displayed.
Volatility Computation
In trading, volatility and finding volatile assets can help traders get in on opportunities and assess market conditions. This column in the table leverages filtered Z-scores to present a percentage rating with anything >70% deemed highly volatile. These are charts of the present possible scalping opportunities depending on the selected timeframe.
The Plus Screener consolidates multiple analytical models each focused on a distinct aspect of market behaviour, into a single, structured output.
By evaluating trend direction, displacement pressure, probabilistic bias, reversal potential, structural candle formation, and volatility phases, the system offers a high-resolution overview of each asset in a watchlist.
The goal is not to issue buy/sell decisions, but to present objective system states so traders can:
- rapidly identify favourable environments
- filter out assets lacking structure
- locate high-energy or low-energy conditions
- observe early signs of trend initiation, trend exhaustion, or reversal formation
Trend Catcher - Divergences v2 - by Crypto_Dan_CroIf you want to get this indicator, contact me on
X handle: @crypto_dan_cro
What is Trend Catcher - Divergences v2?
It's advanced TradingView indicator designed to automatically detect and visualize divergences between price action and the RSI indicator, enhanced with smart filtering and visual strength analysis.
This tool helps traders identify potential trend reversals, continuation opportunities, and areas of weakening momentum with high clarity and precision.
Key Features
Automatic Detection of Divergences:
- Bullish divergence
- Bearish divergence
- Hidden bullish divergence
- Hidden bearish divergence
Overlap Prevention System
When bullish and bearish divergences occur in the same zone, the script intelligently prioritizes the stronger and more reliable signal to avoid confusion and clutter.
Visual Chart Rendering
Each divergence is displayed with:
- A line connecting key swing points
- A label showing: Divergence type, Active confirmation filter, Signal strength (Weak / Medium / Strong / Extreme)
Divergence Strength Heatmap
The indicator includes a Heatmap system that visually represents divergence strength using color intensity:
- Weak divergences appear lighter and more transparent
- Strong divergences appear bold and highly visible
Strength Classification Levels
Every divergence is categorized into one of four levels: Weak, Medium, Strong, Extreme
Confirmation Filters
- RSI + Trend Filter (recommended)
- RSI + MACD
- RSI + OBV
- MACD + Price Action
Multi-Timeframe Information Panels
ACTUAL DIVERGENCES
Displays currently active divergences across timeframes
LATEST DIVERGENCES
Shows the most recent divergence detected on each timeframe
Included timeframes:
15m, 30m, 1h, 4h, 8h, 12h, 1D, 3D, 1W, 1M
Ideal Use Cases
This indicator is perfect for:
- Swing trading
- Identifying reversal zones
- Momentum exhaustion detection
- Supporting price action strategies
- Trend confirmation and filtering
Trend Catcher – Divergences v2 provides a powerful yet clear approach to divergence trading by combining:
- Smart logic
- Visual clarity
- Strenght analysis
- Reliable filtering
It is built for traders who want precision, clarity, and confidence when trading divergences.
Crypto markets are volatile, if you choose to use this indicator for trading, you are doing it on your own. Crypto_dan_cro is not responsible for any profits or losses created by using this Indicator.
SWS Snowflake Sniper – Hybrid Fundamental & Technical SystSWS Snowflake Sniper is a comprehensive hybrid trading system designed to filter the highest-quality opportunities by combining strict Fundamental Analysis (Value) with precise Technical Momentum (Trend).
It answers the two most important questions in trading: What to buy? and When to buy?
1. ❄️ The Fundamental Engine (The "Snowflake")
The indicator scans the company's financial statements in real-time to generate a Global Fundamental Score (0-100) based on 6 key pillars:
🏥 HEALTH: Solvency and liquidity (Current Ratio, Debt/Equity, Altman Z).
🔮 FUTURE: Growth metrics (Revenue, EPS, SGR).
📜 PAST: Efficiency and Profitability (ROE, ROA, Piotroski F-Score).
🛡️ RISK: Volatility, Beta, Max Drawdown, Leverage.
💰 VALUATION: Relative value (P/E, PEG, EV/EBITDA, FCF Yield).
💸 CASH FLOW: Quality of earnings and Free Cash Flow generation.
Logic: If the Global Score is > 85, the chart background turns Green, indicating the asset is "Investable".
2. ⚙️ The Technical Engine (Trendrating)
To time the entry, the script calculates a composite momentum score based on a weighted average of 8 indicators: ADX, TEMA, Klinger, MFI, PFE, ROC, RVI, and Aroon.
It classifies the trend into 4 Ratings:
🟢 A (Strong Bull): High momentum.
🔵 B (Weak Bull): Accumulation/Uptrend.
🟠 C (Weak Bear): Distribution/Correction.
🔴 D (Bear): Strong downtrend.
🧩 The Dashboard & UI
A detailed Heads-Up Display (HUD) allows you to audit every metric instantly. You can see exactly which financial criteria the company passed or failed (e.g., "ROE > 10% ✅").
🚀 The "Sniper" Signal
The indicator issues a SNIPER BUY signal only when two conditions meet:
Fundamental Score > 85 (Safe Company).
Technical Rating = A (Strong Momentum).
Best used on: Stocks (Equities) with available financial data.
Timeframe: Optimized for Daily (1D) and Weekly (1W) swing trading.
区间顶底|超级趋势|增强版中文介绍 (English description follows)
【脚本概述】 本指标是一个多功能的综合交易系统，旨在通过结合趋势跟踪、动量反转、关键支撑阻力位以及成交量分析，为交易者提供高胜率的决策辅助。它将多个复杂的分析模块融合在一个简洁的图表中，适合日内交易及波段交易。
【核心功能与计算逻辑】
1. 智能支撑与阻力区间 (Support & Resistance Zones)
原理：基于自定义长度（默认130周期）的高低点回溯，结合ATR（平均真实波幅）计算出的动态顶底区间。
视觉：紫色区域为阻力区（潜在卖点），绿色区域为支撑区（潜在买点）。
信号：当价格触及这些区域并出现反转K线结构时，会给出相应的箭头提示。
2. 超级趋势 (SuperTrend)
原理：基于ATR（10周期，3倍乘数）的经典趋势跟踪算法。
用途：作为主要的趋势过滤器。背景颜色会随趋势变化（绿色为多头趋势，红色为空头趋势），帮助交易者顺势操作。
3. EMA均线系统
配置：包含EMA 144、169、233三条均线。
用途：用于判断长期趋势方向。当价格位于均线组上方时，主要寻找做多机会；反之则寻找做空机会。
4. 增强型RSI反转信号
红色倒三角 (R)：RSI下穿超买线（70），提示顶部回归风险。
蓝色正三角 (R)：RSI上穿超卖线（30），提示底部回归机会。
此信号仅作为辅助确认，建议结合支撑阻力位使用。
5. 爆量K线高亮 (Volume Anomalies)
原理：当单根K线的成交量大于过去30根K线平均成交量的2.5倍时，系统会将其判定为“爆量”。
视觉：K线实体会被染成明黄色，提示主力资金介入或情绪剧烈波动。
6. 多周期趋势面板 (Dashboard)
位置：图表右上角。
功能：实时监控从15分钟到日线级别的SuperTrend趋势方向以及成交量状态，帮助交易者进行多周期共振分析。
【使用策略建议】
顺势交易：主要依据SuperTrend背景色和EMA均线方向操作。
反转交易：关注价格进入紫色/绿色区间，且同时出现RSI三角形信号或爆量黄色K线时的反转机会。
止损设置：建议设置在支撑阻力区间的边缘外侧。
免责声明：本脚本仅用于技术交流和辅助分析，不构成任何投资建议。市场有风险，交易需谨慎。
English Summary
This is an "All-in-One" enhanced trading system that combines Trend, Momentum, and Volume analysis.
Key Features:
Dynamic Support & Resistance: Auto-detected zones based on Pivot High/Low and ATR volatility.
SuperTrend: Classic ATR-based trend following (Period 10, Multiplier 3) with background highlighting.
RSI Confirmation: Identifies Overbought/Oversold mean reversions (marked with Triangles).
Volume Highlight: Highlights candles with volume > 2.5x the 30-period average (Yellow candles).
Multi-Timeframe Dashboard: Monitors trend direction and volume status across 15m to 1D timeframes.
9/21 EMA Trend TOP rIGHT CORNER INDICATORCrossover indicator for the 9 & 21 EMA. Buy Sell for cross up or down respectively. Daily, weekly and Monthly trend.
3MA Slope Detection_三均线斜率侦测Detect the slope of the moving average and change its color to determine whether it has entered a trend or is consolidating.
HalfTrend + Trend AliThis indicator combines the structural logic of the HalfTrend system with a trend filter built on the Hull Moving Average to provide a clearer view of potential market turning points.
The HalfTrend method reacts to price extremes using adaptive deviations, offering a dynamic representation of local highs and lows. By integrating a Hull MA trend filter, the script focuses only on signals that appear in harmony with the prevailing directional bias, helping reduce noise that may occur during counter-trend fluctuations.
🔹 How It Works
The HalfTrend algorithm tracks price swings using amplitude-based detection and ATR-derived channel deviation.
A trend switch is detected when price moves beyond the boundaries of the current swing structure.
The Hull Moving Average acts as a fast-reacting trend reference. Only signals that align with the Hull direction are highlighted.
To maintain clarity and avoid clustered notifications, the script displays only one signal per confirmed trend phase.
🔹 What the Signals Represent
Buy signals appear when the HalfTrend structure shifts upward and the Hull MA confirms an uptrend.
Sell signals appear when the structure shifts downward and the Hull MA confirms a downtrend.
Both signal types include optional alerts for traders who want to be notified immediately when conditions change.
🔹 Purpose
This tool is intended for traders who want to observe structural trend shifts together with a clean and responsive trend filter. It does not attempt to predict the market; instead, it highlights moments when short-term reversals and broader trend direction are aligned.
🔹 Notes
The indicator does not repaint the signals once confirmed.
It can be applied to any market or timeframe.
Users may combine it with their own risk management or additional confirmation tools.
TICK Indicator with Extreme AlertsOverview:
This indicator is designed to provide intraday traders (especially those trading SPX, ES, and NQ) with a clearer NYSE TICK analysis tool featuring visual alerts. Unlike traditional TICK line charts, this indicator utilizes OHLC Candlesticks to display data, allowing you to fully view the Open, High, Low, and Close within a specific timeframe, thereby capturing instantaneous liquidity sweeps.
Core Features & Logic:
Candlestick Visualization (OHLC Candles): Uses the USI:TICK.US data source by default. The candlestick patterns allow you to clearly see if the TICK pierced key levels intraday but retraced by the close—vital information that standard line charts often miss.
Dual Key Level System: The indicator is designed with two independent reference tiers for trend observation and reversal detection:
Reference Lines (+/- 800): Marked by gray dashed lines. These represent the standard bull/bear dividing zones. When TICK sustains above +800 or below -800, it typically indicates a strong trending market.
Extreme Alerts (+/- 1000): These thresholds are used to identify extreme market sentiment (overbought/oversold conditions).
Background Highlight Alerts (Visual Alerts): To reduce screen-watching fatigue, the indicator automatically highlights the candlestick background when extreme market sentiment occurs:
Green Background: Triggered when TICK High breaks above +1000. Represents extreme buying sentiment, potentially indicating exhaustion or a short squeeze.
Red Background: Triggered when TICK Low drops below -1000. Represents extreme panic selling (Washout), often serving as a potential signal for an intraday reversal or a short-term bottom.
Custom Settings:
All thresholds (800 reference lines, 1000 alert lines) are fully adjustable in the settings.
All colors (Candles, Reference Lines, Background Alert Colors) can be customized.
Use Cases: This tool is ideal for intraday counter-trend or trend-following trading when combined with Price Action analysis and key Support & Resistance levels.
BBWW 2.0 Revised EN# Expert Review: BBWW 2.0 (Bollinger Bands Wing Waves)
**Verdict:** This is not just an indicator, but a full-fledged **system for visualizing market regimes**. Unlike standard Bollinger Bands, which only show volatility and deviation, BBWW 2.0 decodes **crowd psychology**, separating price movements into momentum phases (Fear/Greed) and decay phases (Correction).
This is a tool for **trend** and **swing** traders operating on volatility breakouts.
---
## How It Works: Under the Hood
At its core lies the classic mathematics of standard deviation, enhanced by advanced digital filters (Gaussian, Butterworth, SWMA).
The main "feature" of the indicator is the **Wing Waves** algorithm, which analyzes three vectors simultaneously:
1. Direction of the Basis (central line).
2. Dynamics of the Upper Band (expansion/contraction).
3. Dynamics of the Lower Band (expansion/contraction).
The combination of these vectors creates 4 market states:
### 1. Greed Impulse (Color: Olive)
* **Logic:** Basis rising + Channel expanding upwards.
* **Meaning:** Aggressive buying. Volatility is increasing in the direction of the trend. This is the most profitable phase for holding long positions. Shorting here is suicide.
### 2. Greed Correction (Color: Maroon)
* **Logic:** Basis is still rising, but the lower band has started to pull up (volatility contraction).
* **Meaning:** Buyers are exhausting, taking profits. Momentum has faded, the market is drifting or preparing for a reversal.
### 3. Fear Impulse (Color: Fuchsia)
* **Logic:** Basis falling + Channel expanding downwards.
* **Meaning:** Panic selling. Strong downward impulsive movement. The best time to hold shorts or stay out of the market (for spot).
### 4. Fear Correction (Color: Teal)
* **Logic:** Basis falling, but the upper band has started to decline (contraction).
* **Meaning:** "Dead cat bounce" or bottom stabilization. Sellers are closing positions, volatility is dropping. Dangerous to open new shorts.
---
## Trading Strategies and Recommendations
As a professional trader, I recommend using BBWW 2.0 as follows:
### Strategy 1: "Surfing the Waves" (Trend Following)
Works perfectly on 1H, 4H, and 1D timeframes.
* **ENTRY:** Enter a trade when a "Correction" phase changes to an "Impulse" phase.
* *Long:* Change from Maroon (Correction) → to Olive (Greed). This is a signal that consolidation is over and the trend has resumed.
* *Short:* Change from Teal (Correction) → to Fuchsia (Fear).
* **EXIT:** As soon as the color changes to a correction phase, tighten your stop-loss or take partial profits.
### Strategy 2: "The Squeeze"
BBWW excels at showing moments when the spring is coiling.
* If you see a prolonged period of "Correction" (bands narrowing), and price is squeezed between the Basis and one of the bands — get ready for a breakout.
* Use **Basis Line touches** during a trend as an entry point to add to a position. In a strong trend, price often tests the middle (Basis) and bounces off it.
### Strategy 3: Noise Filtering
* Enable **Gaussian** or **Butterworth** filter in settings instead of the standard SMA. This removes market noise and provides a smoother Basis Line, reducing false signals in sideways markets (flat).
---
## Nuances and Risks
1. **Sideways Market (Flat):** Like any trend tool, BBWW will give false signals in a narrow range. Colors will change frequently, and bands will be horizontal.
* *Solution:* Do not trade if the Basis Line is flat (horizontal). Wait for a slope.
2. **Lag:** Any MA (Moving Average) has lag. The signal for a phase change (e.g., start of Fear) comes when the move has already started. Do not try to catch the absolute tops and bottoms. Capture the "body" of the move.
3. **Period Settings:**
* For scalping (5m-15m): Reduce period to 14-16.
* For medium-term (4H-1D): Leave at 20 or increase to 50 to filter for the global trend.
### Summary
BBWW 2.0 is a powerful visual assistant. It removes the emotional component of trading by answering the main questions: *"Is it greed or fear right now?"* and *"Is volatility rising or falling?"*.
**Best Application:** Cryptocurrencies and volatile stocks, where pump and dump phases (volatility expansions) are most pronounced.
[Algoros] BTC Major Trendline# BTC Major Trendline - Long-Term Bitcoin Trend Analysis
## Overview
BTC Major Trendline is a comprehensive technical analysis tool designed to track Bitcoin's long-term bullish trajectory using historically significant price points. This indicator establishes a primary upward trendline anchored to two major Bitcoin cycle lows, along with optional parallel channels and Fibonacci-based price projections.
## ⚠️ Important Requirements
**This indicator requires a Bitcoin chart with sufficient historical data dating back to at least April 2013.**
**✅ Recommended Charts:**
- `INDEX:BTCUSD` - Bitcoin Index (comprehensive history)
- `BITSTAMP:BTCUSD` - Bitstamp Bitcoin (default setting)
**❌ Will NOT work properly on:**
- Charts with limited history (Like hourly charts)
- Exchanges that launched after 2013
- Altcoin pairs or other cryptocurrencies
If the indicator doesn't display correctly, switch to one of the recommended Bitcoin charts above.
## Key Features
### 📈 Primary Trendline
- Anchored to two historically significant lows:
- **Start Point**: July 6, 2013 - Early Bitcoin accumulation phase
- **End Point**: November 21, 2022 - FTX collapse bottom
- Automatically calculates and extends the trendline based on these anchor points
- Displayed as a solid orange line
### 🔷 Parallel Channel Line (Optional)
- Creates an upper boundary by connecting historical high points:
- April 10, 2013 and June 11, 2017
- Helps identify potential resistance zones and channel breakouts
- Displayed as a blue dotted line for easy distinction
### 🎯 Fibonacci Trendline Multipliers (Optional)
- Seven Fibonacci-based projection lines: **1.6x, 2x, 3x, 5x, 8x, 13x, and 21x**
- Each multiplier creates a parallel trendline above the main trend
- Color-coded from teal to maroon for clear visual separation
- Useful for identifying potential profit-taking zones and long-term price targets
### 📉 Negative Fibonacci Trendlines (Optional)
- Seven division-based support lines: **÷1.6, ÷2, ÷3, ÷5, ÷8, ÷13, and ÷21**
- Projects downward channels below the main trendline
- Displayed in yellow tones for easy identification
- Helps identify extreme oversold conditions and potential bounce zones
## Customization Options
- **Symbol Input**: Track any Bitcoin pair with sufficient history (default: BITSTAMP:BTCUSD)
- **Show/Hide Components**: Toggle parallel line, Fibonacci multipliers, and negative Fibonacci lines independently
- **Line Extension**: Extend lines right, left, both directions, or none
- **Multi-Timeframe Compatible**: View on any timeframe once loaded on a compatible chart
## How to Use
1. **Setup**: First, open a Bitcoin chart with sufficient history (INDEX:BTCUSD or BITSTAMP:BTCUSD recommended)
2. **Trend Confirmation**: The main orange trendline represents the long-term bullish trajectory. Price staying above this line suggests the bull market remains intact.
3. **Channel Trading**: Use the parallel line (blue dotted) as a potential upper boundary for the long-term channel.
4. **Price Targets**: Enable Fibonacci multiplier lines to identify ambitious long-term price targets during bull runs. Higher multipliers (13x, 21x) represent parabolic extension zones.
5. **Support Identification**: Enable negative Fibonacci lines to spot potential support zones during corrections or bear markets.
6. **Risk Management**: Breaking below the main trendline could signal a shift in long-term trend, warranting caution.
## Technical Implementation
- Uses `request.security()` to fetch precise daily prices at historical timestamps
- Requires access to Bitcoin price data from April 2013 onwards
- Calculates slope dynamically based on anchor points
- All lines update in real-time as new price data emerges
- Efficient rendering system minimizes performance impact
## Best Used For
✅ Long-term Bitcoin investors and HODLers
✅ Identifying major trend direction
✅ Setting realistic long-term price targets
✅ Spotting potential support/resistance zones
✅ Multi-timeframe analysis (on compatible charts)
✅ Educational purposes (understanding logarithmic growth)
## Troubleshooting
**Lines not appearing?**
- Ensure you're viewing INDEX:BTCUSD or BITSTAMP:BTCUSD
- Check that the chart has data back to April 2013
- Verify the symbol input matches your chart
- Try switching to a daily or weekly timeframe first
IMS 4H Structural Framework (MA / Pivot / MTF Levels)IMS 4H Structural Framework (MA / Pivot / MTF Levels)
✅ SHORT, COMPLIANT DESCRIPTION (Invite-Only Safe)
Description:
This tool visualizes a 4H Institutional Market Structure (IMS) framework by combining three workflow components into a single structural map—MA-based bias shifts, pivot-derived 4H trendlines, and multi-timeframe (1H/45m) structural levels.
It does not generate signals or performance claims.
The framework is designed purely for visual, discretionary analysis of structural flow, risk context, and higher-timeframe alignment.
Core Components:
• 4H Bias Shift (MA): Highlights directional bias transitions.
• 4H Trendlines (Pivot-Based): Shows structural slopes and reaction zones.
• MTF Levels (1H & 45m): Adds micro-structure inside the 4H box for refinement.
• Caution Zones: Marks potential reaction areas near support/resistance or trendlines.
• Dashboard: Displays bias context and educational guidance only.
Intended Use:
For traders who analyze 4H structural flow and wish to visualize bias, context, and multi-timeframe alignment—not for automation or signals.
________________________________________
✅ SHORT, SAFE DISCLAIMER (Invite-Only Approved)
Disclaimer:
This tool is for educational and informational purposes only.
It does not provide trading signals, financial advice, or performance guarantees.
All decisions remain solely with the user.
Luxy Sector & Industry RS AnalyzerEver wonder why some stocks soar while others in the same sector barely move? Or why your perfectly timed entry still loses money? Possibly the answer can be found in Relative Strength.
The Luxy Sector & Industry RS Analyzer solves a critical problem that most traders overlook: picking strong stocks in strong sectors AND strong industries . It's not enough for a stock to go up - you want stocks that are crushing their competition at both the sector AND industry level. This indicator does the heavy lifting by automatically comparing your stock against its sector ETF, industry ETF, the broader market, sector leader, and industry leader, giving you a complete multi-level picture of relative performance.
What makes this different?
- Automatic sector AND industry detection - no manual setup required
- Multi-level hierarchy analysis: Market → Sector → Industry → Stock
- Multi-timeframe analysis (1 month to 1 year) in one glance
- Industry ETF mapping (30+ industries covered)
- Clear 0-100 scoring system with letter grades (A+ to F)
- Works on stocks, crypto, forex, and commodities
- Real-time updates with anti-repaint protection
Think of it as your performance dashboard - instantly showing you if you're trading a champion or a laggard at every level of the market hierarchy.
METHODOLOGY & ATTRIBUTION
This indicator is based on classical Relative Strength (RS) analysis principles from technical analysis. RS methodology compares an asset's price performance against a benchmark to identify relative outperformance or underperformance. This concept has been used by professional traders and institutions for decades.
Key Concepts Used:
Relative Strength (RS) - Classical technical analysis concept measuring comparative performance
Multi-Level Hierarchy Analysis - Market → Sector → Industry → Stock comparison
Sector Rotation Analysis - Identifying which sectors are leading or lagging the market
Industry Rotation Analysis - Identifying which industries are leading within their sectors
Multi-period Performance Analysis - Evaluating strength across multiple timeframes
Beta Calculation - Standard statistical measure of volatility relative to a benchmark
DISCLAIMER: This indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell. Past performance does not guarantee future results. Trading involves risk and may not be suitable for all investors. Always do your own research and consult with a financial advisor before making investment decisions.
with all rows visible - capture when stock has strong RS score (70+) so users can see what a "good" setup looks like]
WHAT THE INDICATOR SHOWS
1. AUTOMATIC ASSET TYPE DETECTION
The indicator automatically identifies what you're analyzing and adjusts accordingly:
Stocks - Compares to sector ETF (XLK, XLF, XLV, etc.) and SPY
Crypto - Compares to Total Crypto Market Cap and Bitcoin
Forex - Compares to relevant currency index (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD) as benchmark
Indices - Compares to broader market indices
How it works: The indicator reads your chart's asset type and ticker, then automatically maps it to the correct sector or benchmark. For stocks, it uses intelligent sector detection (looking at the sector field) to match you with the right sector ETF. For example:
- Technology stocks get compared to XLK (Technology Select Sector SPDR)
- Financial stocks get compared to XLF (Financial Select Sector SPDR)
- Healthcare stocks get compared to XLV (Health Care Select Sector SPDR)
This happens instantly when you add the indicator to any chart - no configuration needed.
2. SECTOR & MARKET BENCHMARKS
What is a Sector ETF?
A sector ETF is an exchange-traded fund that tracks a specific industry group. For example, XLK contains all major technology companies. By comparing your stock to its sector ETF, you can see if your stock is outperforming or underperforming its peers.
The indicator shows three key comparison points:
Stock vs Sector (Benchmark)
This tells you how your stock performs compared to companies in the same industry. Positive numbers mean your stock is beating the sector average. Negative numbers mean it's lagging behind.
Stock vs Market (SPY)
This shows performance against the broader S&P 500 index. This is important because even if a stock beats its sector, the entire sector might be weak. You want stocks that beat both their sector AND the market.
Sector vs Market
This reveals "sector rotation" - whether money is flowing into or out of this sector. When this number is positive, the whole sector is hot and leading the market. This is powerful because strong sectors tend to lift all boats, making it easier to find winners.
3. MULTI-PERIOD PERFORMANCE ANALYSIS
The indicator calculates performance across four timeframes simultaneously:
1 Month (1M) - Recent short-term momentum
3 Months (3M) - Medium-term trend strength
6 Months (6M) - Longer-term positioning
1 Year (1Y) - Full-cycle performance view
Why multiple periods matter:
A stock might look great over 1 month but terrible over 6 months - that's a red flag. The best stocks show consistent strength across all timeframes . When you see positive RS (Relative Strength) values across all four periods, you've found a stock with sustained outperformance.
Each row in the table shows:
- Raw performance percentage for that period
- RS value (the difference compared to benchmark)
- Color coding: Green for positive, red for negative, white for neutral
4. SECTOR LEADER COMPARISON
The indicator automatically identifies and compares your stock to the sector leader - the dominant stock in that industry.
Sector leaders by industry:
Technology: Apple (AAPL)
Healthcare: UnitedHealth (UNH)
Financial: JPMorgan Chase (JPM)
Energy: ExxonMobil (XOM)
Consumer Discretionary: Amazon (AMZN)
Consumer Staples: Walmart (WMT)
And more...
Why this matters:
Comparing to the leader shows you if you're trading a champion or a follower. If your stock consistently beats the sector leader, you've found something special. If it's lagging the leader, you might want to trade the leader instead.
Optional Custom Leader:
You can override the automatic leader and compare to any stock you choose. This is useful if you want to benchmark against a specific competitor or reference stock.
NEW! INDUSTRY ANALYSIS (STOCKS ONLY)
The indicator now provides multi-level analysis by automatically detecting and comparing your stock to its specific industry , not just the broad sector.
Why Industry matters:
Technology sector (XLK) contains many different industries: Software, Semiconductors, Hardware, etc. A software stock might beat the broad tech sector but lag behind other software companies. Industry analysis provides this granular view.
Industry ETF Mapping (30+ industries):
Software/Applications: IGV (iShares Software ETF)
Semiconductors: SMH (VanEck Semiconductor ETF)
Biotech: IBB (iShares Biotechnology ETF)
Pharmaceuticals: XPH (SPDR Pharmaceuticals ETF)
Banks: KBE (SPDR S&P Bank ETF)
Regional Banks: KRE (SPDR Regional Banking ETF)
Oil & Gas Exploration: XOP (SPDR Oil & Gas Exploration ETF)
Homebuilders: XHB (SPDR Homebuilders ETF)
Retail: XRT (SPDR S&P Retail ETF)
Aerospace & Defense: ITA (iShares U.S. Aerospace & Defense ETF)
And many more...
Industry Leader Mapping:
The indicator also identifies the leader within each industry:
Software: Microsoft (MSFT)
Semiconductors: NVIDIA (NVDA)
Biotech: Amgen (AMGN)
Pharmaceuticals: Eli Lilly (LLY)
Banks: JPMorgan (JPM)
Oil Exploration: ConocoPhillips (COP)
And more...
New Table Rows for Stocks:
Industry ETF Performance - How the specific industry performed (green background)
Industry Leader Performance - How the top stock in the industry performed
vs Industry RS - Your stock's outperformance vs its industry ETF
Industry vs Sector RS - Is this industry hot or cold within its sector?
vs Industry Leader RS - Your stock's performance vs the industry's best
Why this is powerful:
A stock that beats both its sector AND its industry is showing strength at every level. This indicates true relative strength, not just riding sector-wide momentum.
Optional Custom Industry:
You can override automatic detection for both Industry ETF and Industry Leader in settings.
5. RS SCORE & GRADING SYSTEM (0-100)
The heart of the indicator is the RS Score - a weighted calculation that distills all the performance data into one clear number from 0 to 100.
How the score is calculated:
FOR STOCKS (with Industry data):
The indicator splits the weight between Sector (60%) and Industry (40%):
SECTOR RS (60% of total weight):
1 Month RS: 24% weight (40% × 0.6)
3 Month RS: 18% weight (30% × 0.6)
6 Month RS: 12% weight (20% × 0.6)
1 Year RS: 6% weight (10% × 0.6)
INDUSTRY RS (40% of total weight):
1 Month RS: 16% weight (40% × 0.4)
3 Month RS: 12% weight (30% × 0.4)
6 Month RS: 8% weight (20% × 0.4)
1 Year RS: 4% weight (10% × 0.4)
FOR OTHER ASSETS (Crypto, Forex, Commodities):
Uses full 100% weight on benchmark:
1 Month RS: 40% weight
3 Month RS: 30% weight
6 Month RS: 20% weight
1 Year RS: 10% weight
It starts at 50 (neutral) and adds or subtracts points based on your asset's relative strength in each period.
Bonus points:
+5 points if the sector is outperforming the market (sector rotation is bullish)
+5 points if the industry is outperforming its sector (hot industry) - STOCKS ONLY
+5 points if RS momentum is improving (getting stronger over time)
-5 points if RS momentum is declining (getting weaker)
The final score is capped between 0-100.
Letter Grade System:
90-100: A+ - Elite performer, crushing the sector
85-89: A - Excellent, strong outperformer
80-84: A- - Very good, above average
75-79: B+ - Good, solid performer
70-74: B - Above average, decent strength
65-69: B- - Slightly above average
60-64: C+ - Average, neutral strength
55-59: C - Below average
50-54: C- - Weak, slight underperformance
45-49: D+ - Concerning weakness
40-44: D - Poor, significant underperformance
0-39: F - Failing, avoid this stock
What scores mean for trading:
- RS Score above 70: Strong stocks worth considering for long positions
- RS Score 50-70: Average stocks, better opportunities elsewhere
- RS Score below 50: Weak stocks, avoid or consider for shorts
6. CONSISTENCY SCORE
This metric shows what percentage of time periods show positive RS .
For STOCKS (with Industry data):
Counts both Sector RS periods AND Industry RS periods (up to 8 total periods):
- If a stock beats both sector and industry in all 4 periods each: Consistency = 100% (8/8)
- If it beats in 6 out of 8 total periods: Consistency = 75%
- If it beats in 4 out of 8 total periods: Consistency = 50%
For OTHER ASSETS:
Counts benchmark periods only (4 total):
- If it beats benchmark in all 4 periods (1M, 3M, 6M, 1Y): Consistency = 100%
- If it beats in 3 out of 4 periods: Consistency = 75%
- If it beats in 2 out of 4 periods: Consistency = 50%
Why consistency matters:
A high RS Score with low consistency might indicate a recent spike that could fade. The best stocks show both high RS Score AND high consistency - they're strong now AND have been strong historically at both the sector AND industry level.
Look for stocks with:
Consistency above 75%: Very reliable strength across all levels
Consistency 50-75%: Decent but check other metrics
Consistency below 50%: Weak or erratic, proceed with caution
7. BETA CALCULATION (Volatility Measure)
Beta measures how much more volatile your stock is compared to its sector.
Beta > 1.2 : High volatility - stock moves more aggressively than sector (marked as "High")
Beta 0.8-1.2 : Normal volatility - moves roughly in line with sector
Beta < 0.8 : Low volatility - stock is more stable than sector (marked as "Low")
Formula used:
Beta = Correlation(Stock, Sector) × (Standard Deviation of Stock / Standard Deviation of Sector)
This uses a 20-period calculation for reliability.
How to use Beta:
- High Beta stocks offer bigger gains but also bigger risks - good for aggressive traders
- Low Beta stocks are more defensive - good for conservative positions
- Match Beta to your risk tolerance and strategy
8. DAYS ABOVE/BELOW SECTOR
This tracks consecutive periods (bars) where your stock outperforms or underperforms its sector.
Days Above Sector:
Counts how many bars in a row your stock has beaten the sector.
10+ days: Strong sustained strength (shown in bright green)
5-9 days: Building momentum (shown in yellow)
1-4 days: Early strength (shown in white)
0 days: Not currently outperforming
Days Below Sector:
Counts how many bars in a row your stock has lagged the sector.
10+ days: Sustained weakness (shown in bright red)
5-9 days: Losing momentum (shown in orange)
1-4 days: Minor weakness (shown in white)
0 days: Not underperforming (this is good!)
Why this matters:
Long streaks show trend persistence. A stock with 15+ days above sector is riding strong momentum. A stock with 15+ days below sector is in a sustained downtrend relative to peers.
9. PRICE VS 52-WEEK HIGH
Shows where current price sits relative to its 52-week high (or equivalent for your timeframe).
95%+ (green) : Stock is near all-time highs - strong positioning
80-94% (yellow) : Stock is in a pullback but still relatively strong
Below 80% : Stock has pulled back significantly from highs
Why this matters:
The strongest stocks stay near their highs. When you see a stock with high RS Score AND price near 52W high, you've found a stock with institutional support and strong buying pressure.
10. RELATIVE VOLUME
Compares current volume to the 20-period average volume.
1.5x+ (green) : High volume - significant interest and participation
Around 1.0x : Average volume - normal trading activity
Below 1.0x : Low volume - less interest or inactive period
Why volume matters:
High relative volume confirms price moves. When a stock makes a strong move on 2x or 3x normal volume, it's more likely to sustain. Low volume moves are often just noise.
11. AVERAGE RS STRENGTH
This calculates the average absolute value of all RS readings across the four timeframes.
It shows the magnitude of divergence from the sector, regardless of direction. A high number means the stock moves very differently from its sector (could be much stronger or much weaker). A low number means it tracks closely with the sector.
High Average RS: Stock has strong character, moves independently
Low Average RS: Stock follows sector closely, lacks individual strength
12. SECTOR ROTATION SIGNAL
This indicator automatically detects when a sector is experiencing bullish rotation - meaning money is flowing into the sector and it's outperforming the broader market.
Condition for bullish rotation:
Sector must be beating SPY (market) in both 1-month AND 3-month periods.
Why this matters:
Stocks in hot sectors tend to perform better because they have tailwinds from sector-wide buying. When sector rotation is bullish and your stock has a high RS Score, you've found an ideal setup.
The indicator adds +5 bonus points to the RS Score when sector rotation is bullish.
13. MOMENTUM DETECTION
The indicator compares 1-month RS to 3-month RS to detect if momentum is improving or declining.
RS Momentum Improving: 1M RS is better than 3M RS - stock is getting stronger (adds +5 to score)
RS Momentum Declining: 1M RS is worse than 3M RS - stock is getting weaker (subtracts -5 from score)
Why momentum matters:
You want to catch stocks as momentum is building, not after it's already peaked. Improving momentum suggests the strength is accelerating, not fading.
14. OVERALL ASSESSMENT & RECOMMENDATION
The indicator provides two quick summary rows:
Overall Rating:
Based on grade and RS Score, you get an instant quality rating:
Strong Leader (A/A+) - Top tier stock, crushing it
Above Average (A-/B+) - Solid performer, better than most
Average (B/B-) - Middle of the pack
Below Average (C/C+) - Struggling, watch carefully
Underperformer (D/F) - Weak stock, underperforming badly
Trading Signal:
Combines multiple factors to give setup quality:
STRONG BUY SETUP - RS Score 70+, Consistency 75+, AND sector rotation bullish. This is the perfect storm - strong stock, consistent strength, hot sector.
BULLISH - RS Score 60+, Consistency 50+. Good quality stock worth considering.
NEUTRAL - RS Score 50+. Okay but not exciting, better opportunities exist.
WEAK - RS Score 40-49. Below average, risky.
AVOID - RS Score below 40. Stay away, too weak.
IMPORTANT: These are educational signals only, not financial advice. Always do your own analysis and risk management.
KEY FEATURES
1. AUTOMATIC EVERYTHING
- Auto-detects asset type (stock, crypto, forex, commodity, index)
- Auto-maps stocks to correct sector ETF (11 sectors covered)
- Auto-maps stocks to correct industry ETF (30+ industries covered)
- Auto-identifies sector leader AND industry leader
- Auto-selects appropriate market benchmark
- Zero configuration required - just add to chart
2. MULTI-ASSET SUPPORT
Works on all asset classes:
US Stocks - Compares to sector ETFs (XLK, XLF, XLV, etc.)
Crypto - Compares to Total Crypto Market Cap
Forex - Compares to currency indices (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD)
Indices - Compares to broader market benchmarks
3. FLEXIBLE DISPLAY
9 table positions (top/middle/bottom, left/center/right)
4 size options (tiny, small, normal, large)
Show/hide table completely
Real-time indicator toggle
4. TIMEFRAME FLEXIBILITY
Choose your analysis timeframe:
Chart Timeframe (default) - Uses whatever timeframe your chart is on
Fixed: 1 Hour, 4 Hours, Daily, Weekly - Forces calculations to specific timeframe
This means you can be on a 5-minute chart but analyze RS on Daily timeframe if you prefer.
5. RS SCORE FILTERING
Set a minimum RS Score threshold to only see strong stocks:
Set to 0 - Shows all stocks
Set to 70 - Only displays stocks with RS Score 70+ (strong stocks only)
Warning message displays if stock doesn't meet threshold
Perfect for screening - quickly scan multiple charts and the indicator only shows tables for stocks that pass your quality filter.
6. CUSTOM LEADER COMPARISON
Override automatic leader detection:
Compare to any ticker you choose
Benchmark against specific competitors
Use your own reference stocks
7. COMPREHENSIVE TOOLTIPS
Every input parameter and every table row has detailed tooltips explaining:
What the metric measures
How to interpret the values
What thresholds indicate strength/weakness
Why it matters for trading
Hover over any element to learn - it's like having a trading coach built in.
8. SMART ALERTS
Built-in alert system for key events:
Divergence Alerts:
Get notified when your stock diverges significantly from its sector.
Bullish Divergence: Stock beating sector by threshold percentage
Bearish Divergence: Stock losing to sector by threshold percentage
Set your threshold (default 5%) - this determines how big a divergence triggers the alert.
RS Score Alerts:
Get notified when RS Score crosses your threshold:
Crossed Above: RS Score went from below to above your threshold (bullish)
Crossed Below: RS Score dropped from above to below threshold (bearish)
Set your threshold (default 70) to focus on strong stocks.
Sector Rotation Alert:
Fires when sector shows bullish rotation (outperforming market).
HOW TO USE THE INDICATOR
FOR SWING TRADERS:
1. Add indicator to your watchlist stocks
2. Look for RS Score 70+ with Consistency 75%+
3. Check if sector rotation is bullish (bonus!)
4. Verify price is near 52W high (95%+)
5. Wait for entry setup on your chart
6. Use stop loss below key support
Example Setup:
Stock shows:
- RS Score: 82 (Grade: A-)
- Consistency: 100% (strong across all periods)
- Sector Rotation: Bullish
- Price vs 52W High: 96%
- Days Above Sector: 12 days
- Relative Volume: 1.8x
This is a textbook strong stock in a hot sector near highs - ideal for swing long.
FOR POSITION TRADERS:
1. Focus on 6-month and 1-year RS values
2. Look for sustained outperformance (Consistency 75%+)
3. Prefer lower Beta stocks (less volatility)
4. Check Days Above Sector for trend persistence
5. Monitor RS Score monthly, exit if drops below 60
FOR ACTIVE TRADERS:
1. Use on intraday timeframes (1H or 4H)
2. Set RS Score filter to 60+ for quick screening
3. Enable Divergence Alerts
4. Watch for momentum improving signal
5. Higher Beta stocks offer more movement
FOR SHORT SELLERS:
1. Look for RS Score below 40 (Grade: D or F)
2. Check for declining momentum
3. Verify Days Below Sector is increasing (10+)
4. Sector rotation should be bearish
5. Price should be well off 52W high
WHAT MAKES A PERFECT SETUP:
The holy grail combination:
RS Score: 75+ (A- or better)
Consistency: 80%+ (strong across time - beats sector AND industry)
Sector Rotation: Bullish (hot sector)
Industry vs Sector: Positive (hot industry within sector)
Days Above Sector: 10+ (sustained strength)
Momentum: Improving (getting stronger)
Price vs 52W High: 90%+ (near highs)
Relative Volume: 1.5x+ (volume confirmation)
When you find this combination, you've located a stock with every advantage in its favor - strong at the stock level, industry level, AND sector level. That's multi-level confirmation of relative strength.
IMPORTANT NOTES
Data Reliability:
All calculations use lookahead=off for anti-repaint protection
Historical values will never change
Real-time indicator toggle only affects the visual clock icon, not data reliability
All security requests are properly configured to prevent future data leakage
Sector Mapping Notes:
Sector detection uses TradingView's sector field
Some stocks may not have sector data - indicator will adapt
Sector ETFs used: XLK, XLF, XLV, XLE, XLY, XLP, XLI, XLB, XLRE, XLU, XLC
Major market ETFs (SPY, QQQ, DIA) are treated as market benchmarks, not stocks
Multi-Asset Notes:
Crypto compares to CRYPTOCAP:TOTAL (total crypto market cap)
Forex compares to relevant currency index based on base currency
Commodities compare to Gold (GLD) as primary commodity benchmark
Custom leaders can be set for any asset type
FREQUENTLY ASKED QUESTIONS
Q: What does RS Score of 75 actually mean?
A: It means your stock is strongly outperforming its sector across multiple timeframes. The score is weighted toward recent performance (1-month gets 40% weight), so 75 indicates sustained relative strength with emphasis on current momentum.
Q: My stock has high RS Score but is going down. Why?
A: RS Score measures relative performance (vs sector/market), not absolute price direction. A stock can fall 5% while its sector falls 10% - that's still positive relative strength. In bear markets or sector corrections, high RS stocks often fall less than peers.
Q: Should I only trade stocks with RS Score above 70?
A: For long positions, yes - focus on 70+ scores. These stocks have proven they can beat their sector. However, for pairs trading or relative value plays, you might also short stocks with scores below 40 while longing stocks above 70.
Q: What if my stock doesn't have a sector?
A: The indicator handles this gracefully. If no sector is detected, it will compare directly to the market (SPY for stocks). Some rows may show N/A, but the indicator will still provide useful market-relative data.
Q: Why does the sector sometimes show N/A?
A: This happens when: 1) Your asset has no sector classification, 2) The stock IS the sector ETF itself, 3) You're analyzing a non-stock asset (crypto, forex, commodity). The indicator adapts by focusing on market-relative metrics instead.
Q: Can I use this on cryptocurrencies?
A: Yes! The indicator automatically detects crypto and compares to the Total Crypto Market Cap (CRYPTOCAP:TOTAL). You can also set a custom leader like Bitcoin (BTCUSD) to compare against the dominant crypto.
Q: What's the difference between RS Score and Consistency?
A: RS Score is the weighted average of how much you're beating the sector (magnitude). Consistency is what percentage of time periods show outperformance (reliability). You want both high - that means strong AND consistent.
Q: Do the alerts repaint?
A: No. All alerts fire only on bar close (barstate.isconfirmed) and use properly configured data with lookahead=off. Once an alert fires, it's final and won't change.
Q: What timeframe should I use?
A: For swing trading: Daily or Weekly. For day trading: 1H or 4H. For position trading: Weekly. Use "Chart Timeframe" mode and switch your chart timeframe to change the analysis period easily.
Q: Why is Days Above Sector showing 0?
A: This means your stock is not currently outperforming its sector. If Days Below Sector is also 0, it means the RS is exactly neutral (very rare). Check the actual RS values to see current standing.
Q: Can I compare to a different market benchmark than SPY?
A: Currently the indicator uses SPY (S&P 500) as the default US stock market benchmark. For crypto it uses CRYPTOCAP:TOTAL, for forex it uses currency indices, etc. The benchmark auto-adjusts based on asset type.
Q: What's a good Beta value?
A: It depends on your strategy. Aggressive traders prefer Beta above 1.2 (more volatility = bigger moves). Conservative traders prefer Beta 0.8-1.0 (more stable). Beta is neutral - it's about matching your risk tolerance.
Q: How often does the table update?
A: With Real-time Indicator enabled: Every tick (constant updates). With it disabled: Only on bar close. Either way, the underlying data is identical and non-repainting - the toggle only affects update frequency and the clock icon display.
Q: My stock is showing "AVOID" but it's up 50% this year. Is the indicator wrong?
A: Not necessarily. The indicator measures RELATIVE performance. If your stock is up 50% but the sector is up 100%, your stock is actually underperforming by 50%. The indicator helps you identify when you should switch to stronger stocks in the same sector.
Q: What does "Strong Buy Setup" really mean?
A: It means three things aligned: 1) RS Score above 70 (strong stock), 2) Consistency above 75% (reliable strength), 3) Sector rotation is bullish (hot sector). This combination historically correlates with stocks that continue outperforming. However, this is NOT financial advice - always do your own analysis.
Q: Can I use this for options trading?
A: Yes! High RS Score stocks make good candidates for call options (bullish bets) while low RS Score stocks may work for puts (bearish bets). Higher Beta stocks will have more volatile options (higher premiums but more movement).
Q: Why is my crypto showing N/A for sector?
A: Cryptocurrencies don't have "sectors" like stocks do. Instead, the indicator compares crypto to the total crypto market cap. This is normal and expected behavior.
Q: What happens if I'm analyzing an ETF?
A: If you're analyzing a sector ETF (like XLK), it will compare to SPY (market). If you're analyzing SPY itself, some comparisons won't be available (can't compare SPY to itself). The indicator intelligently adapts to avoid circular comparisons.
Q: What if my stock doesn't have industry data?
A: Not all stocks are mapped to specific industries (only 30+ major industries are covered). If no industry is detected, the indicator will still work using only sector analysis. The RS Score calculation will use 100% sector weight instead of the 60%/40% split.
Q: Why does Industry vs Sector matter?
A: Industry vs Sector shows if your specific industry is hot or cold within its broader sector. For example, Semiconductors (SMH) might be outperforming Technology sector (XLK) even though both are up. This helps you find not just strong sectors, but the strongest industries within those sectors.
Q: Can I disable Industry analysis?
A: Yes! In the "Industry Analysis" settings group, you can toggle off "Show Industry Analysis in Table" to hide all industry rows. However, even when hidden, industry data still contributes to the RS Score calculation for stocks.
Q: Why is my Consistency Score lower for stocks than other assets?
A: For stocks with industry data, Consistency counts 8 periods (4 Sector + 4 Industry periods) instead of just 4. This means the bar is higher - your stock needs to beat both sector AND industry consistently. A stock that beats sector in all 4 periods but lags industry in 2 periods will show 75% consistency (6/8), not 100%.
BEST PRACTICES
Use as a screening tool - Set RS Score filter to 70+ and quickly scan your watchlist. Only strong stocks will show the table.
Combine with technical analysis - RS Score tells you WHAT to trade, your chart tells you WHEN to enter.
Check multiple timeframes - Switch between Daily and Weekly to see if strength holds across different time horizons.
Monitor sector rotation - When sector goes from bearish to bullish rotation, it's often a great time to enter stocks in that sector.
Watch Industry vs Sector - Stocks in hot industries within hot sectors have double tailwinds. Prioritize Industry vs Sector positive values.
Pay attention to consistency - High RS Score with low consistency might be a spike that fades. Look for 70%+ consistency across BOTH sector and industry.
Use the leader comparison - If your stock consistently beats both sector leader AND industry leader, you may have found the next champion.
Watch days above/below sector - Long streaks (15+ days) indicate strong trends. Look for these in conjunction with high RS Score.
Set alerts on key stocks - Enable RS Score alerts at 70 threshold to get notified when watchlist stocks become strong.
Consider Beta for position sizing - Size smaller positions in high Beta stocks, larger in low Beta stocks for balanced risk.
Exit when RS Score drops - If a stock's RS Score falls below 60, consider reducing or exiting - the strength may be fading.
Leverage industry-level insight - If Industry ETF is weak but stock is strong, that's standout strength. If Industry is hot but stock is lagging, consider switching to the industry leader instead.
SETTINGS EXPLAINED
Display Settings:
Show Performance Table - Master on/off switch for the table
Table Position - 9 positions available (corners, edges, center)
Table Size - 4 sizes (tiny, small, normal, large) for different screen sizes
Timeframe Settings:
Chart Timeframe (recommended) - Dynamic, uses whatever chart TF you're on
Fixed Timeframes - Locks analysis to 1H, 4H, Daily, or Weekly regardless of chart
Filtering Settings:
Minimum RS Score - Set threshold (0-100) for displaying table
Show Warning - When enabled, displays message if stock doesn't meet filter
Alert Settings:
Divergence Alerts - Enable alerts when stock diverges from sector
Threshold (%) - How big a divergence triggers alert (default 5%)
RS Score Alerts - Enable alerts when RS Score crosses threshold
Threshold - What RS Score level triggers alert (default 70)
Sector Analysis Settings:
Use Custom Sector ETF - Override automatic sector ETF detection
Sector ETF Symbol - Enter any sector ETF to compare against
Use Custom Sector Leader - Override automatic sector leader detection
Sector Leader Symbol - Enter any ticker as sector leader
Industry Analysis Settings:
Use Custom Industry ETF - Override automatic industry ETF detection
Industry ETF Symbol - Enter specific industry ETF (e.g., IGV, SMH)
Use Custom Industry Leader - Override automatic industry leader detection
Industry Leader Symbol - Enter specific industry leader
Show Industry Analysis - Toggle all industry rows on/off
Display Settings:
Show Real-time Indicator - Toggle clock icon in header (doesn't affect data)
WHAT THIS INDICATOR DOESN'T DO
To set proper expectations:
Does NOT provide entry/exit signals - this is a strength analyzer, not a trading system
Does NOT predict future price movement - shows current and historical relative strength
Does NOT guarantee profits - strong RS stocks can still decline
Does NOT replace your own analysis - use as one tool among many
Does NOT work on stocks with no sector data - will adapt but some rows show N/A
This indicator is a decision support tool . It helps you identify which stocks are showing relative strength so you can make more informed trading decisions. You still need your own entry strategy, risk management, and position sizing rules.
SUPPORT & CONTACT
Questions or feedback? Use the comments section below or send me a message.
If you find this indicator useful, please give it a boost and share with other traders who might benefit from relative strength analysis.
FINAL REMINDER
This indicator is a tool for analyzing relative strength - it shows you which stocks are outperforming their sector and market. It does NOT provide financial advice or trade signals. Always conduct your own research, manage your risk appropriately, and consult with a financial advisor before making investment decisions.
Past performance of relative strength does not guarantee future results. Strong stocks can become weak, and sectors rotate in and out of favor. Use this indicator as part of a comprehensive trading strategy, not as a standalone decision-making system.
Trade smart, manage risk, and may your RS Scores stay high!
If you got till here and you like my work a BOOST and a COMMENT would make me happy
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic
Overview
The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum.
The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise.
This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts.
Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation.
Theoretical Foundation
The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points.
The Reduced-Lag CMO augments this foundation with three key mechanisms:
Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts.
Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics.
Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay.
The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance.
How It Works
The Reduced-Lag CMO is constructed through a multi-stage process:
Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure.
Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator.
Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force.
Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion.
Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition.
A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events.
Interpretation
The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure:
Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks.
Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness.
Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue.
Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals.
Signal Architecture
The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection.
Standard Signals - Triangles:
Triggered by momentum flips confirmed by velocity.
Represent moderate-intensity directional changes.
Appear at zero-line crosses or ±50 rejections with aligned velocity.
Strong Signals Triangles + Diamonds:
Triggered when acceleration confirms the directional change.
Represent high-intensity, high-conviction shifts.
Rare by design; indicate robust momentum inflections.
Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise.
Strategy Integration
Trend Confirmation : Align zero-line flips with higher-timeframe directional bias.
Reversal Detection : Strong signals from ±50 zones highlight potential inflection points.
Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum.
Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion.
Confluence Mapping : Pair with structure-based indicators to filter signals in context.
Technical Implementation Details
Core Engine : Classical CMO with Ehlers reduced-lag extension
Lag Reduction : Dual EMA filtering
Smoothing : Optional SMA/EMA/WMA post-filter
Multi-Layer Curve : Shadow, midline, main
Signal System : Two-tier momentum-acceleration framework
Pressure Zones : ±50 statistically validated thresholds
Cooldown Logic : Bar-indexed suppression
Gradient Mapping : Encodes magnitude and direction
Alerts : Standard and strong signals
Optimal Application Parameters
Timeframes:
1 - 5 min : Intraday momentum tracking
15 - 60 min : Trend rotations & volatility transitions
4H - Daily : Macro momentum exhaustion & re-accumulation mapping
Suggested Ranges:
CMO Length : 7 - 12
Reduced-Lag Length : 5 - 15
Smoothing : 10 - 20
Cooldown Bars : 5 - 15
Performance Characteristics
High Effectiveness:
Markets with directional pulses & clean pressure transitions
Trending phases with measurable pullbacks
Instruments with stable volatility cycles
Reduced Edge:
Choppy consolidations
Ultra-low volatility environments
Disclaimer
The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
TTM (Trade The Matrix) Squeeze EMA Cloud
Another way to simply visualize the TTM squeeze but this time with a simpe 2 EMA cloud representation. Fully customizable - change EMA, color, & squeeze to your liking
The **"TTM Squeeze EMA Cloud"** is a **custom TradingView Pine Script (v6)** indicator that **combines the classic TTM Squeeze volatility logic** with a **colored EMA cloud** to visually represent **market state**:
- **Consolidation (Squeeze ON)**
- **Bullish Breakout (Squeeze OFF + Uptrend)**
- **Bearish Breakout (Squeeze OFF + Downtrend)**
It overlays directly on the price chart (`overlay=true`) and uses **color-coded cloud shading** between two EMAs to make the current regime **immediately visible**.
---
## CORE COMPONENTS
| Component | Purpose |
|--------|--------|
| **TTM Squeeze** | Detects low-volatility consolidation (Squeeze ON) vs. volatility expansion (Squeeze OFF) |
| **EMA Cloud** | Fast EMA (8) vs. Slow EMA (21) → determines trend direction |
| **Cloud Fill** | Colors the area between EMAs based on **Squeeze + Trend** |
| **Visual Cues** | Tiny yellow dots below bars when Squeeze is ON |
---
## USER INPUTS (Customizable)
| Input | Default | Description |
|------|--------|-----------|
| `length` | 20 | Period for Bollinger Bands & SMA basis |
| `mult` | 2.0 | Bollinger Band multiplier |
| `lengthKC` | 20 | Period for ATR in Keltner Channels |
| `multKC` | 1.5 | Keltner Channel multiplier |
| `fastLength` | 8 | Fast EMA length |
| `slowLength` | 21 | Slow EMA length |
> These are standard settings — tweak for sensitivity.
---
## CALCULATIONS (Step-by-Step)
### 1. **Bollinger Bands (BB)**
```pinescript
ma = ta.sma(close, length)
stdDev = ta.stdev(close, length)
upperBB = ma + stdDev * mult
lowerBB = ma - stdDev * mult
```
- Measures **statistical volatility**
### 2. **Keltner Channels (KC) – ATR-based**
```pinescript
atrValue = ta.atr(lengthKC)
upperKC = ma + atrValue * multKC
lowerKC = ma - atrValue * multKC
```
- Measures **true range volatility** (more adaptive than stdev)
### 3. **TTM Squeeze Condition**
```pinescript
squeezeOn = (lowerBB > lowerKC) and (upperBB < upperKC)
```
- **True** when **BB is completely inside KC** → **Low volatility = Consolidation**
- **False** → **Volatility expanding = Breakout phase**
---
### 4. **EMA Cloud (Trend Filter)**
```pinescript
fastEma = ta.ema(close, fastLength) // 8-period
slowEma = ta.ema(close, slowLength) // 21-period
```
- Fast EMA reacts quickly, Slow EMA is smoother
- **Trend = fastEma > slowEma → Bullish**, otherwise Bearish
---
### 5. **Cloud Coloring Logic**
| Condition | Cloud Color | Meaning |
|--------|------------|--------|
| `squeezeOn == true` | **Bright Green-Yellow** (`#00ff59`) | **Squeeze ON** → Consolidation |
| `squeezeOn == false` AND `fastEma > slowEma` | **Cyan** (`#00fff7`) | **Squeeze OFF + Bullish** |
| `squeezeOn == false` AND `fastEma < slowEma` | **Red** (`#ff0000`) | **Squeeze OFF + Bearish** |
> The **cloud fills the space between fast and slow EMA** with the appropriate color.
---
## PLOTS & VISUALS
| Element | Description |
|-------|-----------|
| `fill(p1, p2, color=cloudColor)` | **Main EMA Cloud** – colored by regime |
| `plot(fastEma)` | Thin **blue line** (Fast EMA) |
| `plot(slowEma)` | Thin **orange line** (Slow EMA) |
| `plotshape(squeezeOn)` | **Tiny yellow circles below bar** when Squeeze is ON |
> Clean, minimal overlay — no histogram or candles
---
## HOW TO READ THE INDICATOR
| Visual | Market State | Interpretation |
|-------|-------------|----------------|
| **Yellow-Green Cloud** + **Yellow Dots** | **Squeeze ON** | Price is consolidating. **Prepare for breakout** |
| **Cyan Cloud** | **Squeeze OFF + Uptrend** | **Bullish momentum building** → Potential long entry |
| **Red Cloud** | **Squeeze OFF + Downtrend** | **Bearish momentum building** → Potential short entry |
| **Cloud narrowing** | EMAs converging | Trend weakening or reversal possible |
| **Cloud widening** | EMAs diverging | Trend strengthening |
---
## TRADING STRATEGY (Example)
### **Long Setup**
1. Wait for **Yellow-Green Cloud + Yellow Dots** → Squeeze ON
2. Watch for **cloud to turn Cyan**
3. Enter **long** when:
- Price breaks above recent high
- Volume increases (optional)
4. **Stop Loss**: Below slow EMA or recent swing low
5. **Take Profit**: Next resistance or trailing stop
### **Short Setup**
1. Wait for **Yellow-Green Cloud**
2. Enter **short** when cloud turns **Red**
3. Confirm with price breaking lower
> **Best used as a regime filter** — combine with price action, support/resistance, or volume.
---
## KEY ADVANTAGES
| Feature | Benefit |
|-------|--------|
| **One-glance regime detection** | No need to interpret multiple indicators |
| **Cloud = Trend + Volatility** | Combines momentum and consolidation |
| **Clean visuals** | Doesn’t clutter the chart |
| **Adaptive to volatility** | KC uses ATR → better in trending markets |
| **Early breakout signal** | Squeeze OFF often precedes big moves |
---
## LIMITATIONS
| Issue | Note |
|------|------|
| **Lagging EMAs** | 8/21 are reactive, not predictive |
| **No momentum strength** | Unlike histogram versions, no intensity measure |
| **False breakouts** | Squeeze OFF doesn’t guarantee follow-through |
| **Repainting?** | No — all calculations are bar-close based |
| **No alerts built-in** | You’d need to add `alertcondition()` manually |
---
## BEST USE CASES
| Market | Timeframe | Pair With |
|-------|----------|----------|
| Stocks, Crypto, Forex | 1H, 4H, Daily | Volume, RSI, Support/Resistance |
| Swing Trading | Yes | Breakout strategies |
| Scalping | No | Too slow |
---
## COMPARISON TO OTHER TTM VERSIONS
| Feature | This Version | Typical TTM Squeeze |
|-------|-------------|-------------------|
| Visual Output | EMA Cloud | Histogram + Dots |
| Trend Filter | EMA Crossover | Momentum Oscillator |
| Colors | 3-state cloud | 4–5 candle colors |
| Clutter | Low | Medium–High |
| Focus | Regime + Trend | Momentum + Squeeze |
> This version is **cleaner and more trend-focused**.
---
## SUMMARY: What This Indicator Does
> **"TTM Squeeze EMA Cloud"** is a **visual market regime detector** that:
> 1. **Identifies low-volatility consolidation** (Squeeze ON → Yellow-Green cloud)
> 2. **Signals volatility expansion** (Squeeze OFF)
> 3. **Colors the EMA cloud** to show **bullish or bearish breakout direction**
> 4. **Overlays clean trend lines** (8 & 21 EMA) for context
---
**Perfect for traders who want a simple, colorful way to:**
- Spot **consolidations before breakouts**
- Confirm **trend direction** during volatility expansion
- Avoid trading **choppy, low-momentum ranges**
---
**Pro Tip**: Add this to your chart and **watch for cloud color changes** — they often precede **high-probability breakout trades**.
CandelaCharts - Trend Concepts 📝 Overview
Trend Concepts is a comprehensive trend analysis toolkit that combines four powerful components to identify market direction, strength, and trading opportunities.
The indicator features Bias Magnet —an adaptive baseline that tracks trend direction with dynamic strength visualization and momentum polarity bars. Flux Trend uses ATR-based bands with gradient-filled zones to mark trend reversals and continuation exits. Surge Waves applies a two-pole filter to detect sustained momentum runs and highlight strong directional moves. Velocity Bands creates dynamic deviation-based support and resistance levels with re-entry and rejection signals for mean reversion and reversal setups.
Each component operates independently, allowing you to build a custom trend analysis system tailored to your trading style. The integrated dashboard provides real-time market context through trend consensus (majority vote from enabled components), ADX strength, volatility analysis, volume trends, and momentum indicators. Trading profiles automatically optimize all component parameters for Scalping, Intraday, Swing, or Investment strategies, while Custom mode gives you full manual control. Multiple color themes and comprehensive alert options make this a complete solution for trend-following traders across all timeframes.
📦 Features
This section highlights the core capabilities you'll rely on most.
Bias Magnet — Adaptive baseline that hugs price without whipsaws, using half-trend style logic. Calculates trend strength (0–100) from slope and momentum, displays dynamic line transparency based on intensity, and provides flip signals (▲/▼) when trend changes. Includes polarity bars (☰) that show MFI-based momentum direction with intensity-based transparency.
Flux Trend — ATR-based trend bands that flip between bullish and bearish regimes. Creates gradient-filled zones between main and secondary bands, marks trend flips with symbols (✦/❖) and connecting lines, and detects exit signals when price leaves the zone after touching it. Ideal for identifying trend reversals and continuation setups.
Surge Waves — Two-pole filter that smooths price action and detects sustained momentum runs. Tracks consecutive rising or falling bars, marks sustained runs (5+ bars) with shapes, and provides confirmation signals when runs begin. The filled tube envelope provides visual context for momentum direction and strength.
Velocity Bands — Dynamic deviation-based bands that adapt to market conditions. Uses outlier-filtered standard deviation to create +1/+2 and -1/-2 bands around a weighted moving average. Detects re-entry signals when price returns from extreme zones and rejection signals when price enters bands but fails to hold. Enhanced gradient fills highlight when price is outside bands.
Trading Profiles — Pre-configured settings that automatically adjust component parameters: Scalping (fast, responsive), Intraday (balanced), Swing (slower, stable), Investment (long-term focus), or Custom (manual control). Profiles optimize Flux Trend length, Surge Waves length, and Velocity Bands deviation period for your trading style.
Dashboard — Real-time market analysis panel showing ticker, timeframe, active profile, trend direction (majority vote from enabled components), ADX strength (0–100), volatility state (High/Normal/Low based on ATR), volume trend (Bullish/Bearish/Neutral), and momentum (RSI-based). Color-coded for quick visual assessment.
Color Themes — Choose from 8 preset themes (Default, Blue-Orange, Green-Orange, Teal-Fuchsia, Aqua-Purple, Black-Green, Black-Aqua, Black-White) or create a custom color scheme. Themes apply consistently across all components for a cohesive visual experience.
Alerts — Individual alert toggles for each component's key signals: Bias Magnet flips (bull/bear), Flux Trend flips (bull/bear), Surge Waves sustained runs (bull/bear), Velocity Bands re-entries (bull/bear), and Velocity Bands rejections (bull/bear). All alerts include the symbol and timeframe in the message.
⚙️ Settings
Use these controls to customize the indicator's appearance, behavior, and component parameters.
Theme — Select a color theme: Default, Blue-Orange, Green-Orange, Teal-Fuchsia, Aqua-Purple, Black-Green, Black-Aqua, Black-White, or Custom. When Custom is selected, use the three color inputs below.
Trading Profile — Select your trading style: Scalping (fast, 30/30/300), Intraday (balanced, 50/50/500), Swing (slower, 80/70/800), Investment (long-term, 100/100/1200), or Custom (use manual component inputs). Profiles automatically adjust Flux Trend length, Surge Waves length, and Velocity Bands deviation period.
Bias Magnet — Enable/disable the adaptive baseline component. Amplitude controls the sensitivity (default: 5, higher = more responsive). Polarity Bars toggles the MFI-based momentum indicators (☰) that appear above/below the baseline.
Flux Trend — Enable/disable the ATR-based trend bands. Length sets the SMA period for the baseline (default: 60, only used in Custom profile). Bands Distance controls the ATR multiplier for band width (default: 3.0, higher = wider bands).
Surge Waves — Enable/disable the two-pole filter component. Length sets the filter period (default: 50, only used in Custom profile). Tube Width controls the ATR multiplier for the filled envelope width (default: 0.14, higher = wider tube).
Velocity Bands — Enable/disable the deviation-based bands. Deviation Length sets the period for standard deviation calculation (default: 500, only used in Custom profile). Higher values create more stable but slower-adapting bands.
Dashboard — Toggle to show/hide the integrated market analysis panel in the middle-right of the chart.
⚡️ Showcase
Bias Magnet
Flux Trend
Surge Waves
Velocity Bands
Dashboard
📒 Usage
Follow these steps to effectively use Trend Concepts for trend analysis and trading decisions.
1) Select your trading profile — Choose the profile that matches your trading style: Scalping for fast intraday trades, Intraday for day trading, Swing for multi-day positions, or Investment for long-term holds. The profile automatically optimizes all component parameters. Use Custom only if you need specific manual settings.
2) Enable components strategically — Start with one or two components to avoid visual clutter. Enable the dashboard to see the overall trend consensus.
3) Interpret Bias Magnet — The adaptive baseline shows trend direction: below price = bullish (acts as support), above price = bearish (acts as resistance). Line transparency indicates trend strength (darker = stronger). Watch for ▲ (bullish flip) and ▼ (bearish flip) signals. Polarity bars (☰) show momentum direction: above baseline = bullish momentum, below = bearish momentum. Intensity of bars reflects momentum strength.
4) Use Flux Trend for reversals — The gradient-filled zones between bands act as support (bullish) or resistance (bearish). Trend flips are marked with ✦ (bull to bear) or ❖ (bear to bull) symbols. Exit signals (✦/❖ outside bands) indicate when price leaves the zone after touching it, suggesting continuation. Trade flips for reversals or exits for continuations.
5) Track Surge Waves momentum — The filled tube shows momentum direction (green = bullish, red = bearish). Sustained runs of 5+ consecutive bars in one direction are marked with shapes (square = rising, diamond = falling). Confirmation signals appear when runs begin. Use these to identify strong momentum moves and potential continuation setups.
6) Trade Velocity Bands extremes — Price beyond +2/-2 bands indicates extreme conditions. Re-entry signals (▼ from above, ▲ from below) suggest mean reversion opportunities. Rejection signals occur when price enters a band but fails to hold, indicating potential reversals. The enhanced gradient fills highlight when price is outside bands, drawing attention to extreme moves.
7) Use dashboard for context — The dashboard provides a quick market snapshot. Trend shows the majority vote from enabled components (useful when multiple components disagree). Strength (ADX) indicates trend quality: < 20 = weak, 20–40 = moderate, ≥ 40 = strong. Volatility, Volume, and Momentum help assess market conditions before entering trades.
8) Combine components for confirmation — When multiple components agree on trend direction, confidence increases. For example, if Bias Magnet flips bullish, Flux Trend is in bull mode, and Surge Waves shows rising momentum, you have strong confirmation. Divergences between components can signal potential reversals or weak trends.
9) Set up alerts strategically — Enable alerts for the components you actively trade. Bias Magnet and Flux Trend alerts catch trend changes early. Surge Waves alerts identify momentum shifts. Velocity Bands alerts catch mean reversion and rejection setups. Use alerts to monitor multiple charts without constant watching.
10) Adjust for your timeframe — Higher timeframes (daily, weekly) provide more reliable signals but fewer opportunities. Lower timeframes (15m, 1h) offer more signals but require faster decisions. Consider using a higher timeframe profile (e.g., Swing) on lower timeframes for more stable signals, or a lower timeframe profile (e.g., Scalping) on higher timeframes for more responsive signals.
🚨 Alerts
Trend Concepts provides comprehensive alert options for each component's key signals. Alerts fire once per bar close to avoid spam.
Bias Magnet Alerts
BM Bull — Triggers when Bias Magnet trend flips to bullish (baseline crosses above price and confirms).
BM Bear — Triggers when Bias Magnet trend flips to bearish (baseline crosses below price and confirms).
Flux Trend Alerts
FT Bull — Triggers when Flux Trend flips from bearish to bullish (price crosses above upper band).
FT Bear — Triggers when Flux Trend flips from bullish to bearish (price crosses below lower band).
Surge Waves Alerts
SW Bull — Triggers when Surge Waves detects a sustained rising run (5+ consecutive bars rising, confirmed on bar close).
SW Bear — Triggers when Surge Waves detects a sustained falling run (5+ consecutive bars falling, confirmed on bar close).
Velocity Bands Alerts
VB Re-entry Bull — Triggers when price re-enters Velocity Bands from below the lower -2 band (bullish mean reversion signal).
VB Re-entry Bear — Triggers when price re-enters Velocity Bands from above the upper +2 band (bearish mean reversion signal).
VB Rejection Bull — Triggers when price enters the lower band but rejects back above it (bullish reversal signal).
VB Rejection Bear — Triggers when price enters the upper band but rejects back below it (bearish reversal signal).
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
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