Relative Strength according to Oster (RSO)Overview:
Relative Strength according to Oster (RSO) is an innovative tool that redefines how traders assess an asset's market strength. Moving beyond traditional indicators, RSO offers a sophisticated and highly responsive measure of an asset's potential to continue performing well. By integrating groundbreaking methodologies, RSO equips traders with unparalleled insights into market dynamics, making it an essential tool for anyone looking to stay ahead in today's fast-paced trading environment.
Understanding RSL (Relative Strength according to Levy):
At its core, Relative Strength according to Levy (RSL) is a powerful concept rooted in the idea that an asset currently exhibiting strength is more likely to maintain or even enhance that strength in the future. RSL calculates this by comparing an asset's current price to its moving average, providing a clear picture of its relative performance over time. The further its value is above 1, the higher the market momentum and vice versa. This relationship to the moving average is crucial, as it indicates not just where the asset stands today but also its trajectory in the context of historical performance. The ability to identify assets that consistently outperform is a game-changer for traders, and RSL has long been a cornerstone in this pursuit.
RSO vs. Traditional RSL: A Leap Forward
The RSO takes the traditional RSL concept and propels it into new territory with its innovative correlation-based approach. This is where RSO truly shines, offering a unique and sophisticated analysis that goes far beyond the basics.
Why RSO is Revolutionary:
Correlation Adjustment: The RSO doesn’t just measure an asset’s strength in isolation. Instead, it adjusts its readings based on how closely the asset's price movements correlate with a chosen benchmark. This groundbreaking feature ensures that the RSO is not just reactive to past performance but also predictive of how the asset might behave relative to the broader market, adding a layer of precision that is unparalleled in traditional strength indicators.
Superior Strength Option: With the RSO, traders have the option to include superior strength factors, adding another dimension of insight. This feature allows for more stable and reliable long-term signals. On the flip side, those who prefer a more dynamic trading style can opt to exclude this factor for more frequent, shorter-term signals. This level of customization is rare and sets the RSO apart as a truly adaptable tool.
Enhanced Market Insights: RSO’s correlation-based approach doesn’t just show how strong an asset is—it reveals how that strength is likely to develop in relation to the benchmark's underlying trends. This isn’t merely about comparing performance; it’s about understanding the asset’s potential trajectory in a much broader market context. Such insight is invaluable for making informed, strategic trading decisions.
Practical Application:
The RSO isn’t just innovative in theory; it’s designed for practical, real-world trading. Traders can set customized alerts based on RSO’s readings, ensuring they’re always aware of key buy or sell signals as they occur. The flexibility to include or exclude superior strength factors means that RSO can be tailored to fit any trading style, whether focused on long-term investments or short-term opportunities.
Conclusion:
In conclusion, the Relative Strength according to Oster (RSO) is more than just an indicator; it’s a breakthrough in market analysis. By integrating correlation adjustments and offering unparalleled customization options, RSO provides traders with insights that are both deeper and more actionable than ever before. This innovative tool is designed to empower traders, giving them the edge they need to succeed in an increasingly complex market landscape. Whether you’re a seasoned trader or just starting out, the RSO is a must-have tool for navigating market trends with confidence and precision.
Tìm kiếm tập lệnh với "momentum"
Ichimoku MA Up & DownIchimoku and MA use the default.
It is repainted because it uses a moving average line.
A marker is only true if it was created after the candle closed.
The principle is too simple.
Please enjoy using it.
- Up : Conversion Line > MA #1 and Base Line > MA #2
It is an uptrend. The short-term moving average should be above the conversion line. And the long-term should be above the Base Line.
- Down : Conversion Line < MA #1 and Base Line < MA #2
It's a downtrend. The short-term moving average should be below the conversion line. And the long-term should be below the Base Line.
You can get better results if you use a momentum indicator like RSI.
Thank you.
Trend Average (Expo)
Trend Average (Expo) measures the overall trend strength and how strong the current price move/momentum is. The color of the average helps to identify the strength and momentum of the trend.
The user can enable Bar Color that coloring the candlesticks based on the trend strength.
The user can choose between different average calculations, such as SMA, WMA, HMA, to mention a few.
This indicator is for those that don't want to have the Trend Oscillator (Expo) but still want to keep track of the trend strength and direction. There is a minor difference in how the trend is calculated due to the nature of input variables.
HOW TO USE
Identify the trend strength and direction
Identify current momentum
INDICATOR IN ACTION
Daily chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My scripts/indicators/strategies/ideas are only for educational purposes!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
RSI Maniac
RSI Maniac
A powerful, fully-customizable RSI indicator designed for traders who want deeper insight into momentum across multiple timeframes. This indicator enhances the traditional RSI by adding multi-timeframe analysis, multi-timeframe moving averages, and optional Bollinger Bands applied directly on the RSI curve.
----- Key Features -----
1️⃣ Multi-Timeframe RSI (HTF RSI) : Analyse higher-timeframe momentum while staying on your current chart.
Enable/Disable HTF RSI
Select any timeframe (1m → 1M)
Dedicated RSI length & source for HTF
Great for spotting:
Trend confirmation or divergence between LTF & HTF momentum
2️⃣ Multi-Timeframe Moving Averages : A powerful addition for traders using higher timeframe confirmation.
Enable/Disable HTF MAs
Independent Fast & Slow MA settings
Separate HTF timeframe
Separate MA type for HTF (EMA or HMA)
Great for spotting:
HTF RSI trend direction
HTF momentum overlays on LTF RSI
Cross-timeframe momentum alignment
🎛️ Clean & Organized User Interface : The indicator organizes settings into intuitive groups.
Current Timeframe RSI
Current Timeframe MA
Higher Timeframe RSI
Higher Timeframe MA
Bollinger Bands Settings
Traders can toggle any component independently.
How to trade ?
Based on my approach, I don’t use RSI to catch reversals. Instead, I use it to trade continuations—when the lower timeframe (LTF) RSI aligns with the higher timeframe (HTF) trend. I simply wait for the LTF RSI to move in the same direction as the HTF RSI and then take the continuation trade. Please check the snapshots for a clearer understanding of how these trades work.
Trade less, trade better!
ADX Trend Color HistogramOverview:
This script provides a visually enhanced version of the classic Average Directional Index (ADX) indicator. Instead of a simple line, it plots the ADX as a histogram, making it easier to gauge trend strength at a glance. The key feature is its dynamic color-coding, which shifts based on the relationship between the Directional Indicators (DI+ and DI-), offering immediate insight into market momentum.
Features:
Histogram Style: The ADX value is presented as a histogram for clear, easy-to-read visualization of trend strength.
Dynamic Color-Coding: The histogram bars are colored green when DI+ is greater than DI-, indicating bullish momentum. They turn red when DI- is greater than DI+, signaling bearish momentum.
Customizable Transparency: The default color transparency is set to 80% (20% opacity) for a clean look that doesn't overpower the main chart, but this can be adjusted in the script's color settings.
Built-in Alerts: The script includes configurable alerts that trigger whenever the momentum shifts, i.e., when the color of the histogram changes from red to green or vice-versa. This allows you to stay notified of potential changes in trend direction without constantly watching the chart.
Clean and Simple: The code is well-structured and commented for clarity, making it easy for other PineScripters to understand or modify.
How to Use:
Assess Trend Strength: The height of the histogram bars represents the strength of the current trend. Higher bars suggest a stronger trend (either bullish or bearish), while lower bars indicate a weak or non-trending market.
Identify Momentum Direction: The color of the bars provides a quick guide to the direction of market momentum.
Green Bars: Indicate that the upward momentum is dominant.
Red Bars: Indicate that the downward momentum is dominant.
Use Alerts for Signals: Set up alerts in TradingView based on the "ADX Green" and "ADX Red" conditions to receive notifications for potential entry or exit signals when the momentum shifts. A change from red to green can signal a potential bullish reversal or continuation, while a change from green to red can signal a bearish one.
SZO - Signal Zone Oscillator ## Signal Zone Oscillator - SZO
**Created by:** @TraderCurses
**Version:** 1.0 (October 2025)
### ▌ OVERVIEW
The Signal Zone Oscillator (SZO) is a comprehensive momentum tool designed to provide a clearer, more nuanced view of market dynamics. It synthesizes three of the most powerful classic indicators—RSI, a unique MACD Ratio, and the Stochastic oscillator—into a single, unified signal.
The indicator's core feature is the **"Signal Zone"**: a colored area between the main oscillator line and its moving average filter. This zone makes it incredibly easy to visualize shifts in momentum, trends, and potential entry/exit points.
### ▌ KEY FEATURES
* **Composite Formula:** Combines RSI, MACD Ratio, and Stochastic using a weighted average to measure underlying market momentum.
* **The Signal Zone:** The flagship feature. The area between the SZO line and its filter is colored **green** in a bullish context (SZO above filter) and **red** in a bearish context (SZO below filter).
* **Dynamic Coloring:** Both the main SZO line and its filter change color dynamically, providing instant feedback on direction and strength.
* **Zero-Line Reference:** A dashed zero line acts as a classic equilibrium level, helping to confirm stronger bullish or bearish momentum.
* **Fully Customizable:** Every parameter is adjustable. You can change the lengths, sources, and even the weights of the core indicators from the settings menu.
* **Built-in Alerts:** Comes with pre-configured alerts for crossovers of the filter and the zero line, allowing you to automate your monitoring.
### ▌ HOW TO USE IT
The SZO provides several clear signals for traders:
1. **Bullish Signal:**
* The SZO line crosses **above** its filter.
* The Signal Zone turns **green**.
* A cross above the zero line can be used as further confirmation of strong bullish momentum.
2. **Bearish Signal:**
* The SZO line crosses **below** its filter.
* The Signal Zone turns **red**.
* A cross below the zero line can be used as further confirmation of strong bearish momentum.
3. **Divergences:**
* Like any oscillator, look for divergences between the SZO's peaks/troughs and the price action to spot potential reversals.
This tool is designed for traders who want to cut through the noise and get a clear, actionable signal from multiple momentum sources at once. Happy trading!
RRG Relative Strength# RRG Relative Strength (RRG RS)
Compare any symbol to a benchmark using two RRG-style lines: **RS-Ratio** (trend of relative strength) and **RS-Momentum** (momentum of that trend). Both are centered at **100**:
- **RS-Ratio > 100** → outperforming the benchmark
- **RS-Ratio < 100** → underperforming
- **RS-Momentum** often **leads** RS-Ratio (crosses 100 earlier)
# How it works
1) Relative Strength (RS): RS = Close(symbol) / Close(benchmark)
2) Normalize around 100: smooth RS with EMA and divide RS by that EMA
3) RS-Ratio: EMA( RS / EMA(RS, Length), LenSmooth ) * 100
4) RS-Momentum: RS-Ratio / EMA(RS-Ratio, LenSmooth) * 100
# Inputs
- Length (default 14): normalization window for RS
- Length Smooth (default 20): smoothing window for RS-Ratio & RS-Momentum
# Benchmark (auto)
- US: SP:SPX (S&P 500)
- Vietnam: HOSE:VNINDEX
- Crypto: INDEX:BTCUSD
(Modify the mapping if needed, or replace with your own input.symbol().)
# How to read
- Improving: RS-Momentum crosses above 100 while RS-Ratio turns up
- Leading: RS-Ratio > 100 with RS-Momentum ≥ 100
- Weakening: RS-Momentum drops below 100; RS-Ratio often follows
# Timeframes & presets
- Works on Daily and Weekly charts
- Daily (fast): 14 / 20
- Approx. weekly behavior on Daily: 50 / 60
Note: Values usually hover near 100 (e.g., ~90–110) but are not strictly bounded. Ensure your symbol and benchmark trade in comparable sessions/currencies.
Momentum Regression [BackQuant]Momentum Regression
The Momentum Regression is an advanced statistical indicator built to empower quants, strategists, and technically inclined traders with a robust visual and quantitative framework for analyzing momentum effects in financial markets. Unlike traditional momentum indicators that rely on raw price movements or moving averages, this tool leverages a volatility-adjusted linear regression model (y ~ x) to uncover and validate momentum behavior over a user-defined lookback window.
Purpose & Design Philosophy
Momentum is a core anomaly in quantitative finance — an effect where assets that have performed well (or poorly) continue to do so over short to medium-term horizons. However, this effect can be noisy, regime-dependent, and sometimes spurious.
The Momentum Regression is designed as a pre-strategy analytical tool to help you filter and verify whether statistically meaningful and tradable momentum exists in a given asset. Its architecture includes:
Volatility normalization to account for differences in scale and distribution.
Regression analysis to model the relationship between past and present standardized returns.
Deviation bands to highlight overbought/oversold zones around the predicted trendline.
Statistical summary tables to assess the reliability of the detected momentum.
Core Concepts and Calculations
The model uses the following:
Independent variable (x): The volatility-adjusted return over the chosen momentum period.
Dependent variable (y): The 1-bar lagged log return, also adjusted for volatility.
A simple linear regression is performed over a large lookback window (default: 1000 bars), which reveals the slope and intercept of the momentum line. These values are then used to construct:
A predicted momentum trendline across time.
Upper and lower deviation bands , representing ±n standard deviations of the regression residuals (errors).
These visual elements help traders judge how far current returns deviate from the modeled momentum trend, similar to Bollinger Bands but derived from a regression model rather than a moving average.
Key Metrics Provided
On each update, the indicator dynamically displays:
Momentum Slope (β₁): Indicates trend direction and strength. A higher absolute value implies a stronger effect.
Intercept (β₀): The predicted return when x = 0.
Pearson’s R: Correlation coefficient between x and y.
R² (Coefficient of Determination): Indicates how well the regression line explains the variance in y.
Standard Error of Residuals: Measures dispersion around the trendline.
t-Statistic of β₁: Used to evaluate statistical significance of the momentum slope.
These statistics are presented in a top-right summary table for immediate interpretation. A bottom-right signal table also summarizes key takeaways with visual indicators.
Features and Inputs
✅ Volatility-Adjusted Momentum : Reduces distortions from noisy price spikes.
✅ Custom Lookback Control : Set the number of bars to analyze regression.
✅ Extendable Trendlines : For continuous visualization into the future.
✅ Deviation Bands : Optional ±σ multipliers to detect abnormal price action.
✅ Contextual Tables : Help determine strength, direction, and significance of momentum.
✅ Separate Pane Design : Cleanly isolates statistical momentum from price chart.
How It Helps Traders
📉 Quantitative Strategy Validation:
Use the regression results to confirm whether a momentum-based strategy is worth pursuing on a specific asset or timeframe.
🔍 Regime Detection:
Track when momentum breaks down or reverses. Slope changes, drops in R², or weak t-stats can signal regime shifts.
📊 Trade Filtering:
Avoid false positives by entering trades only when momentum is both statistically significant and directionally favorable.
📈 Backtest Preparation:
Before running costly simulations, use this tool to pre-screen assets for exploitable return structures.
When to Use It
Before building or deploying a momentum strategy : Test if momentum exists and is statistically reliable.
During market transitions : Detect early signs of fading strength or reversal.
As part of an edge-stacking framework : Combine with other filters such as volatility compression, volume surges, or macro filters.
Conclusion
The Momentum Regression indicator offers a powerful fusion of statistical analysis and visual interpretation. By combining volatility-adjusted returns with real-time linear regression modeling, it helps quantify and qualify one of the most studied and traded anomalies in finance: momentum.
TTM Squeeze Value OscillatorThis indicator is specifically designed for use with TradingView's Stock Screener, not for chart analysis. It provides numerical values and binary signals that allow traders to efficiently scan stocks for specific TTM Squeeze conditions, momentum patterns, and EMA alignments.
What It Does
The TTM Squeeze Value Oscillator converts the popular TTM Squeeze indicator into a screenable format by outputting specific numerical values and binary signals (1 or 0) that can be filtered in TradingView's screener tool.
Key Features
1. TTM Squeeze Compression Levels
Value 0: Low Compression (Black) - Bollinger Bands inside outer Keltner Channels
Value 1: Mid Compression (Red) - Bollinger Bands inside middle Keltner Channels
Value 2: High Compression (Orange) - Bollinger Bands inside inner Keltner Channels
Value 3: Squeeze Fired (Green) - Bollinger Bands outside Keltner Channels
2. Momentum Analysis
Four distinct momentum conditions based on TTM Squeeze methodology:
Buy Momentum Increasing - Positive momentum growing stronger
Buy Momentum Decreasing - Positive momentum weakening
Sell Momentum Increasing - Negative momentum growing stronger
Sell Momentum Decreasing - Negative momentum weakening
3. EMA Stacking Analysis
Three EMA alignment patterns using 8, 21, and 48 period EMAs:
EMA Stacked Bullish - 8 EMA > 21 EMA > 48 EMA (uptrend alignment)
EMA Stacked Bearish - 8 EMA < 21 EMA < 48 EMA (downtrend alignment)
EMA Mixed - EMAs not in clear bullish or bearish alignment
4. Consecutive Day Counters
Tracks how many consecutive days each squeeze condition has persisted:
Low Compression Days
Mid Compression Days
High Compression Days
Squeeze Fired Days
5. Combined Signal Analysis
Pre-calculated combinations of squeeze conditions with momentum:
All squeeze levels combined with all four momentum conditions
16 total combined signals for advanced screening
EMA Pullback Speed Strategy 📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
Uptrick Signal Density Cloud🟪 Introduction
The Uptrick Signal Density Cloud is designed to track market direction and highlight potential reversals or shifts in momentum. It plots two smoothed lines on the chart and fills the space between them (often called a “cloud”). The bars on the chart change color depending on bullish or bearish conditions, and small triangles appear when certain reversal criteria are met. A metrics table displays real-time values for easy reference.
🟩 Why These Features Have Been Linked Together
1) Dual-Line Structure
Two separate lines represent shorter- and longer-term market tendencies. Linking them in one tool allows traders to view both near-term changes and the broader directional bias in a single glance.
2) Smoothed Averages
The script offers multiple smoothing methods—exponential, simple, hull, and an optimized approach—to reduce noise. Using more than one type of moving average can help balance responsiveness with stability.
3) Density Cloud Concept
Shading the region between the two lines highlights the gap or “thickness.” A wider gap typically signals stronger momentum, while a narrower gap could indicate a weakening trend or potential market indecision. When the cloud is too wide and crosses a certain threshold defined by the user, it indicates a possible reversal. When the cloud is too narrow it may indicate a potential breakout.
🟪 Why Use This Indicator
• Trend Visibility: The color-coded lines and bars make it easier to distinguish bullish from bearish conditions.
• Momentum Tracking: Thicker cloud regions suggest stronger separation between the faster and slower lines, potentially indicating robust momentum.
• Possible Reversal Alerts: Small triangles appear within thick zones when the indicator detects a crossover, drawing attention to key moments of potential trend change.
• Quick Reference Table: A metrics table shows line values, bullish or bearish status, and cloud thickness without needing to hover over chart elements.
🟩 Inputs
1) First Smoothing Length (length1)
Default: 14
Defines the lookback period for the faster line. Lower values make the line respond more quickly to price changes.
2) Second Smoothing Length (length2)
Default: 28
Defines the lookback period for the slower line or one of the moving averages in optimized mode. It generally responds more slowly than the faster line.
3) Extra Smoothing Length (extraLength)
Default: 50
A medium-term period commonly seen in technical analysis. In optimized mode, it helps add broader perspective to the combined lines.
4) Source (source)
Default: close
Specifies the price data (for example, open, high, low, or a custom source) used in the calculations.
5) Cloud Type (cloudType)
Options: Optimized, EMA, SMA, HMA
Determines the smoothing method used for the lines. “Optimized” blends multiple exponential averages at different lengths.
6) Cloud Thickness Threshold (thicknessThreshold)
Default: 0.5
Sets the minimum separation between the two lines to qualify as a “thick” zone, indicating potentially stronger momentum.
🟪 Core Components
1) Faster and Slower Lines
Each line is smoothed according to user preferences or the optimized technique. The faster line typically reacts more quickly, while the slower line provides a broader overview.
2) Filled Density Cloud
The space between the two lines is filled to visualize in which direction the market is trending.
3) Color-Coded Bars
Price bars adopt bullish or bearish colors based on which line is on top, providing an immediate sense of trend direction.
4) Reversal Triangles
When the cloud is thick (exceeding the threshold) and the lines cross in the opposite direction, small triangles appear, signaling a possible market shift.
5) Metrics Table
A compact table shows the current values of both lines, their bullish/bearish statuses, the cloud thickness, and whether the cloud is in a “reversal zone.”
🟩 Calculation Process
1) Raw Averages
Depending on the mode, standard exponential, simple, hull, or “optimized” exponential blends are calculated.
2) Optimized Averages (if selected)
The faster line is the average of three exponential moving averages using length1, length2, and extraLength.
The slower line similarly uses those same lengths multiplied by 1.5, then averages them together for broader smoothing.
3) Difference and Threshold
The absolute gap between the two lines is measured. When it exceeds thicknessThreshold, the cloud is considered thick.
4) Bullish or Bearish Determination
If sma1 (the faster line) is above sma2 (the slower line), conditions are deemed bullish; otherwise, they are bearish. This distinction is reflected in both bar colors and cloud shading.
5) Reversal Markers
In thick zones, a crossover triggers a triangle at the point of potential reversal, alerting traders to a possible trend change.
🟪 Smoothing Methods
1) Exponential (EMA)
Prioritizes recent data for quicker responsiveness.
2) Simple (SMA)
Takes a straightforward average of the chosen period, smoothing price action but often lagging more in volatile markets.
3) Hull (HMA)
Employs a specialized formula to reduce lag while maintaining smoothness.
4) Optimized (Blended Exponential)
Combines multiple EMA calculations to strike a balance between responsiveness and noise reduction.
🟩 Cloud Logic and Reversal Zones
Cloud thickness above the defined threshold typically signals exceeding momentum and can lead to a quick reversal. During these thick periods, if the width exceeds the defined threshold, small triangles mark potential reversal points. In order for the reversal shape to show, the color of the cloud has to be the opposite. So, for example, if the cloud is bearish, and exceeds momentum, defined by the user, a bullish signal appears. The opposite conditions for a bullish signal. This approach can help traders focus on notable changes rather than minor oscillations.
🟪 Bar Coloring and Layered Lines
Bars take on bullish or bearish tints, matching the faster line’s position relative to the slower line. The lines themselves are plotted multiple times with varying opacities, creating a layered, glowing look that enhances visibility without affecting calculations.
🟩 The Metrics Table
Located in the top-right corner of the chart, this table displays:
• SMA1 and SMA2 current values.
• Bullish or bearish alignment for each line.
• Cloud thickness.
• Reversal zone status (in or out of zone).
This numeric readout allows for a quick data check without hovering over the chart.
🟪 Why These Specific Moving Average Lengths Are Used
Default lengths of 14, 28, and 50 are common in technical analysis. Fourteen captures near-term price movement without overreacting. Twenty-eight, roughly double 14, provides a moderate smoothing level. Fifty is widely regarded as a medium-term benchmark. Multiplying each length by 1.5 for the slower line enhances separation when combined with the faster line.
🟩 Originality and Usefulness
• Multi-Layered Smoothing. The user can select from several moving average modes, including a unique “optimized” blend, possibly reducing random fluctuations in the market data.
• Combined Visual and Numeric Clarity. Bars, clouds, and a real-time table merge into a single interface, enabling efficient trend analysis.
• Focus on Significant Shifts. Thick cloud zones and triangles draw attention to potentially stronger momentum changes and plausible reversals.
• Flexible Across Markets. The adjustable lengths and threshold can be tuned to different asset classes (stocks, forex, commodities, crypto) and timeframes.
By integrating multiple technical concepts—cloud-based trend detection, color coding, reversal markers, and an immediate reference table—the Uptrick Signal Density Cloud aims to streamline chart reading and decision-making.
🟪 Additional Considerations
• Timeframes. Intraday, daily, and weekly charts each yield different signals. Adjust the smoothing lengths and threshold to suit specific trading horizons.
• Market Types. Though applicable across asset classes, parameters might need tweaking to address the volatility of commodities, forex pairs, or cryptocurrencies.
• Confirmation Tools. Pairing this indicator with volume studies or support/resistance analysis can improve the reliability of signals.
• Potential Limitations. No indicator is foolproof; sudden market shifts or choppy conditions may reduce accuracy. Cautious position sizing and risk management remain essential.
🟩 Disclaimers
The Uptrick Signal Density Cloud relies on historical price data and may lag sudden moves or provide false positives in ranging conditions. Always combine it with other analytical techniques and sound risk management. This script is offered for educational purposes only and should not be considered financial advice.
🟪 Conclusion
The Uptrick Signal Density Cloud blends trend identification, momentum assessment, and potential reversal alerts in a single, user-friendly tool. With customizable smoothing methods and a focus on cloud thickness, it visually highlights important market conditions. While it cannot guarantee predictive accuracy, it can serve as a comprehensive reference for traders seeking both a quick snapshot of the current trend and deeper insights into market dynamics.
Momentum BBPCT Z-Score [QuantAlgo]Momentum BBPCT Z-Score 💫📈
The Momentum BBPCT Z-Score by QuantAlgo is an advanced indicator designed to identify statistical extremes and momentum shifts in price action across various timeframes and market conditions. This system combines Bollinger Bands percentage analysis with Z-score calculations and Statistical Momentum evaluation to help traders and investors identify overbought/oversold conditions and trend strength. By evaluating both statistical extremes and momentum together, this tool empowers users to make data-driven decisions, whether they aim to follow trends or capture mean reversion opportunities.
💫 Conceptual Foundation and Innovation
The Momentum BBPCT Z-Score by QuantAlgo provides a unique framework for assessing price action and momentum through a blend of statistical analysis and momentum evaluation. Unlike traditional Bollinger Band indicators that only reflect price position, this system incorporates Z-score normalization to reveal statistically significant deviations, helping users determine whether price movements are extreme relative to historical norms. By combining high-quality momentum analysis with Z-scores of Bollinger Band positioning, it evaluates both statistical probabilities and momentum quality, while Z-scores standardize deviations from historical trends, enabling traders and investors to spot extreme conditions. This dual approach allows users to better identify mean reversion opportunities while respecting strong momentum conditions, enhancing both counter-trend and trend-following strategies.
📊 Technical Composition and Calculation
The Momentum BBPCT Z-Score is composed of several statistical and momentum components that create a dynamic dual scoring model:
Bollinger Bands Percentage (BBPCT) : Measures the relative position of price between bands on a 0-100 scale, providing a normalized view of price extremes relative to the bands.
Z-Score Normalization : Applies statistical normalization to BBPCT values to identify significant deviations from historical means, helping traders and investors quantify the extremity of current market conditions.
Statistical Momentum Analysis : Evaluates price action across multiple periods to determine momentum strength and persistence, adding depth to the analysis beyond simple price positioning.
📈 Key Indicators and Features
The Momentum BBPCT Z-Score combines various statistical and technical tools to deliver a well-rounded analysis of market conditions.
The indicator utilizes dynamic Bollinger Bands with customizable length and standard deviation multipliers to adapt to market volatility. Z-score calculations are applied to normalize the percentage position within these bands, providing clear statistical context for price movements. The Statistical Momentum component evaluates price action across user-defined periods, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with gradient color coding to signal both statistical extremes and momentum conditions. These adaptive visual cues, combined with threshold-based alerts for overbought and oversold zones, help traders and investors track both statistical extremes and momentum shifts, adding reliability to both mean-reversion and trend-following strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Z-Scores and Momentum: Watch the Z-score values and momentum state to identify statistically significant price movements. During extreme readings, consider mean reversion opportunities, while strong momentum readings may signal trend-following opportunities.
🔔 Set Alerts: Configure alerts for Z-score extremes and momentum shifts, ensuring you can act on significant statistical and trend changes promptly.
🌟 Summary
The Momentum BBPCT Z-Score by QuantAlgo is a highly adaptable tool, designed to support both statistical and momentum analysis across different market environments. By combining Z-score normalized Bollinger Band positioning with Statistical Momentum Analysis, it helps traders and investors identify statistically significant price movements while measuring momentum quality, providing more reliable trading signals. The tool's flexibility across timeframes makes it ideal for both mean reversion and trend-following strategies, allowing users to capture opportunities while maintaining statistical rigor in their analysis.
Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum.
The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns.
Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis.
🔶 Key Features
Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum.
Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds.
Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis.
Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference.
Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered.
Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues.
User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score.
🔶 Interpreting Indicator:
Combined Score
The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions.
Color Heatmap
The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum.
Long/Short Signals
When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity.
When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity.
Higher Timeframe Analysis
If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation.
Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels.
🔶Purpose of Using Multiple Technical Indicators
The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions.
RSI (Relative Strength Index)
RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner.
VZO (Volume Zone Oscillator)
VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume.
MFI (Money Flow Index)
MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends.
CCI (Commodity Channel Index)
CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
KNN OscillatorOverview
The KNN Oscillator is an advanced technical analysis tool designed to help traders identify potential trend reversals and market momentum. Using the K-Nearest Neighbors (KNN) algorithm, this oscillator normalizes KNN values to create a dynamic and responsive indicator. The oscillator line changes color to reflect the market sentiment, providing clear visual cues for trading decisions.
Key Features
Dynamic Color Oscillator: The line changes color based on the oscillator value – green for positive, red for negative, and grey for neutral.
Advanced KNN Algorithm: Utilizes the K-Nearest Neighbors algorithm for precise trend detection.
Normalized Values: Ensures the oscillator values are normalized to align with the stock price range, making it applicable to various assets.
Easy Integration: Can be easily added to any TradingView chart for enhanced analysis.
How It Works
The KNN Oscillator leverages the K-Nearest Neighbors algorithm to calculate the average distance of the nearest neighbors over a specified period. These values are then normalized to match the stock price range, ensuring they are comparable across different assets. The oscillator value is derived by taking the difference between the normalized KNN values and the source price. The line's color changes dynamically to provide an immediate visual indication of the market's state:
Green: Positive values indicate upward momentum.
Red: Negative values indicate downward momentum.
Grey: Neutral values indicate a stable or consolidating market.
Usage Instructions
Trend Reversal Detection: Use the color changes to identify potential trend reversals. A shift from red to green suggests a bullish reversal, while a shift from green to red indicates a bearish reversal.
Momentum Analysis: The oscillator's value and color help gauge market momentum. Strong positive values (green) indicate strong upward momentum, while strong negative values (red) indicate strong downward momentum.
Market Sentiment: The dynamic color changes provide an easy-to-understand visual representation of market sentiment, helping traders make informed decisions quickly.
Confirmation Tool: Use the KNN Oscillator in conjunction with other technical indicators to confirm signals and improve the accuracy of your trades.
Scalability: Applicable to various timeframes and asset classes, making it a versatile tool for all types of traders.
TrendGuard Pullback Trader Indicators [Quantigenics]The 'TrendGuard Pullback Trader Indicators' offers a synergistic representation of Trend Wave, Trend Pulse, and Trend Strength, each interrelated to provide intuitive and comprehensive market analysis—combining momentum, trend fluctuation insights, and trend strength in one cohesive tool.
The "TrendGuard Pullback Trader Indicators " utilize a novel approach in market trend analysis, distinctly combining multiple Exponential Moving Averages (EMA) layers for enhanced momentum tracking. This script employs a triple-layered EMA system for the Trend Wave component, adeptly filtering market noise and providing a refined view of underlying momentum. In parallel, the Trend Pulse feature contrasts current prices against a double-EMA of modified averages, offering granular insights into short-term market dynamics. This synergy is further enriched by the Trend Strength Identifier, which leverages the differential between fast and slow EMAs. This element is key in distinguishing significant market trends from minor fluctuations, thus offering a comprehensive gauge of market sentiment. These components, while advanced in their individual functionalities, are integrated to provide a holistic market analysis tool, far surpassing the capabilities of standard trend-following indicators. This sophisticated integration, underpinned by complex mathematical modeling, ensures that the "TrendGuard Pullback Indicators" script is not just a collection of indicators but a refined, cohesive system for strategic trading.
Integrated Analysis System: Trend Wave, Trend Pulse, and Trend Strength Identifier:
Trend Wave : Advanced Momentum Analysis
Calculation : Implements an advanced smoothing technique using a triple-layered Exponential Moving Average (EMA). This complex approach reduces market noise by refining the momentum tracking algorithm, thereby enhancing trend line smoothness.
Output : The output is visualized as a color-changing histogram, pivoting from green to red to indicate bullish and bearish momentum. This histogram is based on a scaled and adjusted Trend Wave value, providing a nuanced understanding of market momentum shifts.
Trend Pulse : Precision in Short-term Market Dynamics
Design : Contrasts a unique combination of high and low prices with their double EMA, diverging from standard closing price analysis. This results in a dynamic indicator sensitive to immediate market shifts.
Function : Acts as a vital complement to Trend Wave, offering fine-grained insights into short-term market behavior. It enhances the overall system by adding depth to the trend context set by the Trend Wave
Trend Strength Identifier: In-Depth Trend Viability Assessment Mechanism
Mechanism : Utilizes a sophisticated differential EMA strategy, comparing fast and slow EMA outputs. The script’s complexity extends beyond basic EMA differences, incorporating advanced trend/noise ratio calculations and trend quality assessments.
Indicator Dynamics : Generates a histogram that colors and positions itself based on the strength and direction of market trends, further informed by calculated trend quality metrics. It crucially differentiates between major trends and minor market noise.
System Synergy :
The three components are designed to operate in unison, forming an integrated trading system. Their interrelation is not merely additive but synergistic, where each element informs and enhances the others, making them indispensable to one another.
This interconnected functionality blends the indicators, as each component is tailored to contribute to a unified decision-making process, rather than functioning as standalone entities. The system's unique construction and its reliance on the interplay between its components underscore its distinctiveness and necessity for combined usage.
How to Trade with the "TrendGuard Pullback Trader Indicators"
Integration with "TrendGuard Pullback Signals" script :
The "TrendGuard Pullback Trader Indicators" script is an integral part of the "TrendGuard Pullback Trader" system, designed to operate in tandem with the "TrendGuard Pullback Trader Signals" script. This script amalgamates three sophisticated indicators, each contributing a unique perspective to market analysis.
This script, while useful as a standalone trading method, is one part of a two-part system. The “TrendGuard Pullback Trader Signals” script can be found below:
Integrated Trend Analysis: Aligning Wave, Pulse, and Strength :
Trend Wave & Trend Pulse Alignment : Look for moments when both the Trend Wave and Trend Pulse indicate a similar direction (both turning green for bullish or red for bearish). This alignment often marks the beginning of a new primary trend.
Confirmation with Trend Strength : Ensure that the Trend Strength histogram supports the new trend. A rising histogram above the lower threshold (white line) indicates growing trend strength.
Assessing Trend Strength and Potential Exhaustion :
Monitoring Threshold Lines : The upper (blue) and lower (white) threshold lines are crucial. When the Trend Strength histogram crosses these lines, it signals significant market conditions:
Above the Upper Threshold (Blue Line): Indicates a very strong trend but be cautious of potential trend exhaustion. A peak above this line may signal that the trend is overstretched.
Below the Lower Threshold (White Line): Suggests a weak or emerging trend, potentially signaling a trend reversal or consolidation phase.
Determining Trending or Ranging Market :
Above Lower Threshold : If the Trend Strength histogram consistently stays above the lower threshold, it suggests a trending market. Use this phase for trend-following strategies.
Below Lower Threshold : When the histogram frequently falls below this line, it may indicate a ranging or choppy market. In such conditions, consider adopting range-bound strategies or tightening stop losses.
Practical Application :
Entry Points : Trades can be initiated when there’s an alignment in Trend Wave and Pulse, coupled with supportive readings in Trend Strength. For instance, long positions during a green Trend Wave and Pulse, with the Trend Strength histogram rising above the lower threshold and vice versa for short entries.
Exit Points and Profit Taking : Consider exiting or taking profits when the Trend Strength crosses above the upper threshold, indicating potential trend exhaustion, especially if the trend strength histogram suddenly drops. Also, look for changes in the Trend Wave and Pulse for additional exit signals.
Alerts Setup : Utilize the provided alert features for key changes in the indicators, especially when the Trend Strength crosses threshold lines, to stay updated on significant market shifts.
Interpreting Indicator Interactions :
Refer to the accompanying images for visual examples of how these indicators interact and signal various market conditions. Understanding their synergy will enhance your ability to recognize key market phases and adjust your trading strategy accordingly.
The "TrendGuard Pullback Trader Indicators" script is intricately designed to be used in conjunction with the "TrendGuard Pullback Trader Signals" script, offering a cohesive and comprehensive trading strategy. Use both scripts together for a more robust trading method.
Adjustable Input Parameters
Each component in the script features customizable settings, designed to offer traders comprehensive control over the indicators. This flexibility allows for tailoring to specific trading styles, market conditions, and time frames. With options for adjusting visibility, selecting price types, modifying calculation lengths, and setting thresholds, these parameters ensure that the tool can be fine-tuned for a high degree of customization and precision, making it adaptable and effective for nearly all markets/symbols and time frames.
Important Usage Guidance: For seamless integration with its counterpart, the "TrendGuard Pullback Trader Signals" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Show Indicator Name (ShowName):
This parameter controls the display of the indicator's name on the chart. When enabled (`true`), it visually labels the indicator for ease of identification. Disabling (`false`) this feature offers a cleaner visual by removing the label.
Show Trend Wave Indicator (ShowTrendWave):
Activates or deactivates the Trend Wave indicator. When active (`true`), it displays a histogram based on the triple-layered exponential moving average (EMA) of the selected price type, providing a visual representation of market momentum trends. Deactivating (`false`) simplifies the chart by removing this histogram.
Trend Wave Price (TrendWavePrice):
Specifies the price data (close, open, high, low) used in calculating the Trend Wave. This choice affects how the Trend Wave responds to market movements, with each price type offering a different perspective on market momentum.
Trend Wave Length (TrendWaveLength):
Determines the overall calculation period for the triple-layered EMA in the Trend Wave, influencing its sensitivity. A higher value leads to a smoother, less volatile wave, focusing on longer-term market trends, whereas a lower value makes it more responsive to recent price actions.
Show Trend Pulse Indicator (ShowTrendPulse):
This parameter toggles the display of the Trend Pulse indicator, which analyzes the divergence between the current closing price and a double-EMA of a modified price average, providing insight into immediate market dynamics. Enabling (`true`) it adds this analysis to the chart, while disabling (`false`) removes it for focus on other trends.
Trend Pulse Length (TrendPulseLength):
Sets the length for the main double-EMA calculation in the Trend Pulse. A higher number smoothens the indicator, reducing sensitivity to minor price changes and highlighting more significant short-term trends.
Show Trend Strength Indicator (ShowTrendStrength):
Controls whether the Trend Strength indicator is displayed. This indicator uses a differential approach between fast and slow EMAs to assess the market's trend strength. Enabling it (`true`) provides a histogram view of the trend’s robustness, whereas disabling (`false`) omits this analysis.
Fast Average Length (FastAvgLen):
Specifies the period for the fast EMA in the Trend Strength indicator. Shorter periods make the EMA more sensitive to recent price changes, ideal for identifying new trend formations.
Slow Average Length (SlowAvgLen):
Determines the period for the slow EMA in the Trend Strength indicator. A longer period smoothens the EMA, useful for identifying sustained trend directions.
Threshold High (ThresholdHi):
This value sets a high threshold for the Trend Strength indicator. Values exceeding this threshold indicate a strong and established market trend, which can be critical for strategies focusing on trend continuity.
Threshold Low (ThresholdLow):
Defines a low threshold for the Trend Strength indicator. Values below this threshold suggest weak or emerging trends, signaling potential trend reversals or consolidations.
Threshold Trend (ThreshTrend):
Establishes a specific threshold within the Trend Strength indicator for identifying significant trends. Exceeding this threshold often suggests a trend with potential trading relevance.
Enable Threshold Low (ThresholdLowOnOff):
This option enables or disables the low threshold in the Trend Strength calculation. It allows traders to customize the indicator’s sensitivity to weaker trends.
Average Line (AvgLine):
Adjusts the period for an additional EMA line in the Trend Strength indicator. This line acts as a smoothing reference for the Trend Strength. This can also act as a threshold reference as when its below the ‘Threshold Low’ line this could identify sideways/choppy conditions.
Conclusion:
The "TrendGuard Pullback Trader Indicators" script provides a multidimensional analysis platform, combining in-depth momentum tracking, immediate market movement insights, and robust trend evaluation.
Remember, trading involves risk, and past performance is not indicative of future results.
You can see the “Author’s instructions" below to get immediate access to TrendGuard Pullback Trader Indicators & the rest of the “Quantigenics Premium Indicator Suite”.
Coppock Curve w/ Early Turns [QuantVue]The Coppock Curve is a momentum oscillator developed by Edwin Coppock in 1962. The curve is calculated using a combination of the rate of change (ROC) for two distinct periods, which are then subjected to a weighted moving average (WMA).
History of the Coppock Curve:
The Coppock Curve was originally designed for use on a monthly time frame to identify buying opportunities in stock market indices, primarily after significant declines or bear markets.
Historically, the monthly time frame has been the most popular for the Coppock Curve, especially for long-term trend analysis and spotting the beginnings of potential bull markets after bearish periods.
The signal wasn't initially designed for finding sell signals, however it can be used to look for tops as well.
When the indicator is above zero it indicates a hold. When the indicator drops below zero it indicates a sell, and when the indicator moves above zero it signals a buy.
While this indicator was originally designed to be used on monthly charts of the indices, many traders now use this on individual equities and etfs on all different time frames.
About this Indicator:
The Coppock Curve is plotted with colors changing based on its position relative to the zero line. When above zero, it's green, and when below, it's red. (default settings)
An absolute zero line is also plotted in black to serve as a reference.
In addition to the classic Coppock Curve, this indicator looks to identify "early turns" or potential reversals of the Coppock Curve rather than waiting for the indicator to cross above or below the zero line.
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
UCS_Momentum Oscillator - Version 2This is Version - 2 of the Momentum Oscillator, Like i said on the prior version, This version has an Indicator for Trends.
Marks only Overbought and Oversold Based on the TREND.
The Trend dots are calculated exactly like the Slingshot system trend.
Confirmed Pivots + MACD Signals (with BOS Lines)Confirmed Pivots + MACD Signals
This indicator combines confirmed swing highs/lows (pivots) with MACD-based momentum signals to highlight key reversal and continuation points on the chart.
Core Logic
Confirmed Pivots:
The script identifies swing highs and lows using the user-defined pivot confirmation length.
Once a structure is broken beyond the last pivot, that level becomes a confirmed support (CL) or resistance (CH) line.
These levels are plotted as dashed horizontal rays and labeled directly on the chart.
MACD Integration:
The classic MACD crossover/under logic is used:
Bullish Crossover: MACD line crosses above the Signal line.
Bearish Crossunder: MACD line crosses below the Signal line.
Signal Filtering by Proximity:
A Proximity Zone (%) defines how close price must be to an active support or resistance to trigger a signal.
Buy Signal: When price is within the support zone and a bullish MACD crossover occurs.
Sell Signal: When price is within the resistance zone and a bearish MACD crossunder occurs.
Inputs
Pivot Confirmation Length: Bars used to confirm swing points.
MACD Fast/Slow/Signal Lengths: Standard MACD settings.
Proximity Zone (%): Defines zone width (e.g., 1% around active level).
Output
Labels: "CH" (Confirmed High) and "CL" (Confirmed Low) with color-coded dashed lines.
Signals: "BUY" and "SELL" markers appear when both pivot and MACD conditions align.
Tips
Works best on higher timeframes (H1 and above).
Combine with price action or trend filters for confirmation.
Use proximity percentage according to volatility (e.g., smaller % for low-vol assets).
⚠️ Disclaimer:
This script is provided for educational and informational purposes only.
It does not constitute financial or investment advice, and the author is not responsible for any financial losses that may occur from its use.
Always perform your own analysis and use this indicator together with other technical and risk management tools before making trading decisions.
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سقف و کف تاییدشده + سیگنالهای MACD
این اندیکاتور ترکیبی از شناسایی سقفها و کفهای تاییدشده (Pivot High/Low) به همراه سیگنالهای مومنتوم MACD است که نقاط برگشت یا ادامهی روند را روی چارت مشخص میکند.
🔹 منطق عملکرد
تایید سقف و کفها:
ابتدا سقف و کفهای محلی بر اساس تعداد کندلهای تنظیمشده شناسایی میشوند.
وقتی ساختار قیمتی از آخرین سقف یا کف عبور کند، آن سطح به عنوان حمایت یا مقاومت تاییدشده در نظر گرفته شده و با برچسبهای “CL” (کف تاییدشده) و “CH” (سقف تاییدشده) و خطوط نقطهچین رسم میشود.
ادغام با MACD:
از منطق کلاسیک کراساور/کراسآندر MACD استفاده شده است:
کراس صعودی: عبور خط MACD از بالای خط سیگنال.
کراس نزولی: عبور خط MACD از زیر خط سیگنال.
فیلتر سیگنال با ناحیه مجاور:
با استفاده از درصد ناحیه مجاور (Proximity Zone %)، فقط زمانی سیگنال صادر میشود که قیمت نزدیک حمایت یا مقاومت فعال باشد.
سیگنال خرید: وقتی قیمت در ناحیهی حمایت و همزمان MACD صعودی شود.
سیگنال فروش: وقتی قیمت در ناحیهی مقاومت و همزمان MACD نزولی شود.
تنظیمات ورودی
طول تأیید پیوتها
تنظیمات MACD (Fast, Slow, Signal)
درصد ناحیه مجاور برای فعال شدن سیگنالها
خروجیها
برچسبهای “CL” و “CH” برای سطوح تاییدشده
نشانگرهای “BUY” و “SELL” در محل صدور سیگنال
نکات کاربردی
بهترین عملکرد در تایمفریمهای بالاتر (۱ ساعته به بالا)
برای دقت بیشتر، آن را با فیلتر روند یا پرایساکشن ترکیب کنید
درصد ناحیه مجاور را با توجه به نوسانات دارایی تنظیم کنید
Alpha-Weighted RSIDescription:
The Alpha-Weighted RSI is a next-generation momentum oscillator that redefines the classic RSI by incorporating the mathematical principles of Lévy Flight. This advanced adaptation applies non-linear weighting to price changes, making the indicator more sensitive to significant market moves and less reactive to minor noise. It is designed for traders seeking a clearer, more powerful view of momentum and potential reversal zones.
🔍 Key Features & Innovations:
Lévy Flight Alpha Weighting: At the core of this indicator is the Alpha parameter (1.0-2.0), which controls the sensitivity to price changes.
Lower Alpha (e.g., 1.2): Makes the indicator highly responsive to recent price movements, ideal for capturing early trend shifts.
Higher Alpha (e.g., 1.8): Creates a smoother, more conservative output that filters out noise, focusing on stronger momentum.
Customizable Smoothing: The raw Lévy-RSI is smoothed by a user-selectable moving average (8 MA types supported: SMA, EMA, SMMA, etc.), allowing for further customization of responsiveness.
Intuitive Centered Oscillator: The RSI is centered around a zero line, providing a clean visual separation between bullish and bearish territory.
Dynamic Gradient Zones: Subtle, colour coded gradient fills in the overbought (>+25) and oversold (<-25) regions enhance visual clarity without cluttering the chart.
Modern Histogram Display: Momentum is plotted as a sleek histogram that changes color between bright cyan (bullish) and magenta (bearish) based on its position relative to the zero line.
🎯 How to Use & Interpret:
Zero-Line Crossovers: The most basic signals. A crossover above the zero line indicates building bullish momentum, while a crossover below suggests growing bearish momentum.
Overbought/Oversold Levels: Use the +25/-25 and +35/-35 levels as dynamic zones. A reading above +25 suggests strong bullish momentum (overbought), while a reading below -25 indicates strong bearish momentum (oversold).
Divergence Detection: Look for divergences between the Alpha-Weighted RSI and price action. For example, if price makes a new low but the RSI forms a higher low, it can signal a potential bullish reversal.
Alpha Tuning: Adjust the Alpha parameter to match market volatility. In choppy markets, increase alpha to reduce noise. In trending markets, decrease alpha to become more responsive.
⚙️ Input Parameters:
RSI Settings: Standard RSI inputs for Length and Calculation Source.
Lévy Flight Settings: The crucial Alpha factor for response control.
MA Settings: MA Type and MA Length for smoothing the final output.
By applying Lévy Flight dynamics, this indicator offers a nuanced perspective on momentum, helping you stay ahead of the curve. Feedback is always welcome!
Squeeze + Short/Long (Futures) - WS🧠 Overview
The Squeeze + Short/Long (Futures) indicator combines Bollinger Bands, Keltner Channels, and momentum breakout logic to identify market compression phases (squeezes) followed by strong volatility expansion.
Ideal for crypto, futures, and FX traders who seek early breakout confirmation.
📊 Momentum Visualization
🟩 Green bars: positive momentum (bullish)
🟥 Red bars: negative momentum (bearish)
⚙️ Signals
LONG signal (green triangle) → squeeze just released + bullish momentum.
SHORT signal (red triangle) → squeeze just released + bearish momentum.
Gray background → Squeeze ON (low volatility / compression).
Includes a cooldown mechanism to prevent multiple false triggers.
💡 Trading Idea
1️⃣ Wait for a gray background (market compression).
2️⃣ When white dots and a triangle appear → volatility is expanding.
3️⃣ Trade in the direction of momentum (green for longs, red for shorts).
4️⃣ Use ATR or price structure for stops and targets.
⚙️ Recommended Settings
Market BB Len KC Len BB Mult KC Mult Momentum Len
Crypto (15m–1h) 20 20 2.0 1.5 12
Futures / FX (1h–4h) 20 20 2.0 1.5 20
🔔 Alerts
LONG Squeeze → breakout upward confirmed
SHORT Squeeze → breakout downward confirmed
Enable alerts in TradingView’s Alert Manager once added to the chart.
🧾 Credits
Created with ❤️ by WS Trading Tools
Built in Pine Script v6
Based on the classic TTM Squeeze logic with custom momentum and configurable cooldown.
© 2025 GuidoT | WS Trading Tools
VIDYA Auto-Trading(Reversal Logic)Overview
This script is a dynamic trend-following strategy based on the Variable Index Dynamic Average (VIDYA). It adapts in real time to market volatility, aiming to enhance entry precision and optimize risk management.
⚠️ This strategy is intended for educational and research purposes. Past performance does not guarantee future results. All results are based on historical simulations using fixed parameters.
Strategy Objectives
The objective of this strategy is to respond swiftly to sudden price movements and trend reversals, providing consistent and reliable trade signals under historical testing conditions. It is designed to be intuitive and efficient for traders of all levels.
Key Features
Momentum Sensitivity via VIDYA: Reacts quickly to momentum shifts, allowing for accurate trend-following entries.
Volatility-Based ATR Bands: Automatically adjusts stop levels and entry conditions based on current market volatility.
Intuitive Trend Visualization: Uptrends are marked with green zones, and downtrends with red zones, giving traders clear visual guidance.
Trading Rules
Long Entry: Triggered when price crosses above the upper band. Any existing short position is closed.
Short Entry: Triggered when price crosses below the lower band. Any existing long position is closed.
Exit Conditions: Positions are reversed based on signal changes, using a position reversal strategy.
Risk Management Parameters
Market: ETHUSD(5M)
Account Size: $3,000 (reasonable approximation for individual traders)
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted to comply with TradingView guidelines for realistic risk levels)
Number of Trades: 251 (based on backtest over the selected dataset)
⚠️ The risk per trade and other values can be customized. Users are encouraged to adapt these to their individual needs and broker conditions.
Trading Parameters & Considerations
VIDYA Length: 10
VIDYA Momentum: 20
Distance factor for upper/lower bands: 2
Source: close
Visual Support
Trend zones, entry points, and directional shifts are clearly plotted on the chart. These visual cues enhance the analytical experience and support faster decision-making.
Visual elements are designed to improve interpretability and are not intended as financial advice or trade signals.
Strategy Improvements & Uniqueness
Inspired by the public work of BigBeluga, this script evolves the original concept with meaningful enhancements. By combining VIDYA and ATR bands, it offers greater adaptability and practical value compared to conventional trend-following strategies.
This adaptation is original work and not a direct copy. Improvements are designed to enhance usability, risk control, and market responsiveness.
Summary
This strategy offers a responsive and adaptive approach to trend trading, built on momentum detection and volatility-adjusted risk management. It balances clarity, precision, and practicality—making it a powerful tool for traders seeking reliable trend signals.
⚠️ All results are based on historical data and are subject to change under different market conditions. This script does not guarantee profit and should be used with caution and proper risk management.
