ANIL's OHCL, VWAP and EMA CrossPrevious Week High and Low:
This part calculates the previous week's high and low values and plots them as continuous blue lines. The plot.style_line ensures the lines are drawn continuously.
Previous Day Open, High, Low, Close:
The script uses request.security to get the previous day's open, high, low, and close values. These are plotted as continuous lines in different colors:
Open: Green
High: Red
Low: Orange
Close: Purple
VWAP (Volume Weighted Average Price):
The VWAP is calculated using ta.vwap(close) and plotted with a thick black line.
Exponential Moving Averages (EMAs):
The script calculates two EMAs: one with a 9-period (fast) and one with a 21-period (slow).
The EMAs are plotted as continuous lines:
Fast EMA: Blue
Slow EMA: Red
EMA Cross:
The script checks for EMA crossovers and crossunders:
A crossover (fast EMA crossing above slow EMA) triggers a buy signal (green label below the bar).
A crossunder (fast EMA crossing below slow EMA) triggers a sell signal (red label above the bar).
Customization:
You can adjust the fastLength and slowLength variables to change the period of the EMAs.
You can modify the line colors and line thickness to match your preferred style.
The buy and sell signals can be customized further with different shapes or additional conditions for signal generation.
This script provides a comprehensive and visually distinct indicator with the previous week's and day's levels, VWAP, and EMA crossover signals.
Bands and Channels
ORB opening range breakoutThis indicator plots the opening range high and low for a selected period of time in minutes after the market opens on an intraday chart to allow the user to visualize the high and low of the opening range for use in the Opening Range Breakout (ORB) strategy.
The Opening Range Breakout (ORB) strategy is a trading approach that involves identifying the price range within the first few minutes of a market session and then waiting for the price to break out of that range. This indicator facilitates this strategy through the use of shaded regions and/or price levels.
Features
Able to plot the high and low for any opening range above 1 min on any intraday timeframe
Fully customizable ORB region, price level, price axis, label
The inclusion of the Bollinger band along with it's Moving Average serves multiple purposes to assist the user in the opening range breakout strategy
Highlights to the user the deviation from the Moving Average due to an opening range breakout so that the user is better informed on whether to avoid entering a position, exit a position, or monitor the situation more closely
Highlights area of support or resistance formed by the Moving Average of Bollinger Band
Inform the user of the current trend direction to serve as confluence during an opening range breakout
What sets this indicator apart from others
In other ORB indicators, the opening range must be a multiple of the current chart's timeframe, restricting users on the intraday timeframes that can be used. E.g. if the user is using the 15 minutes opening range, they are restricted to use the 1, 3, 5, 15 minute(s) chart.
This indicator gives the user the flexibility to set any opening range above 1 min on any intraday timeframe. E.g. if the user is using the 15 minutes opening range, they are free to use any intraday timeframe on their chart, such as 1 hour or 2 hours chart.
How to use
Input the opening time range of interest in minutes
Check the "ORB region" checkbox to shade the ORB region
Check the "PRICE LEVEL" checkbox to draw a horizontal line of the high and low
Check the "PRICE AXIS" checkbox to plot the values on the price axis
Check the "LABEL" checkbox to draw a label of the high and low
BBSS+This Pine Script implements a custom indicator overlaying Bollinger Bands with additional features for trend analysis using Exponential Moving Averages (EMAs). Here's a breakdown of its functionality:
Bollinger Bands:
The script calculates the Bollinger Bands using a 20-period Simple Moving Average (SMA) as the basis and a multiplier of 2 for the standard deviation.
It plots the Upper Band and Lower Band in red.
EMA Calculations:
Three EMAs are calculated for the close price with periods of 5, 10, and 40.
The EMAs are plotted in green (5-period), cyan (10-period), and orange (40-period) to distinguish between them.
Trend Detection:
The script determines bullish or bearish EMA alignments:
Bullish Order: EMA 5 > EMA 10 > EMA 40.
Bearish Order: EMA 5 < EMA 10 < EMA 40.
Entry Signals:
Long Entry: Triggered when:
The close price crosses above the Upper Bollinger Band.
The Upper Band is above its 5-period SMA (indicating momentum).
The EMAs are in a bullish order.
Short Entry: Triggered when:
The close price crosses below the Lower Bollinger Band.
The Lower Band is below its 5-period SMA.
The EMAs are in a bearish order.
Trend State Tracking:
A variable tracks whether the market is in a Long or Short trend based on conditions:
A Long trend continues unless conditions for a Short Entry are met or the Upper Band dips below its average.
A Short trend continues unless conditions for a Long Entry are met or the Lower Band rises above its average.
Visual Aids:
Signal Shapes:
Triangle-up shapes indicate Long Entry points below the bar.
Triangle-down shapes indicate Short Entry points above the bar.
Bar Colors:
Green bars indicate a Long trend.
Red bars indicate a Short trend.
This script combines Bollinger Bands with EMA crossovers to generate entry signals and visualize market trends, making it a versatile tool for identifying momentum and trend reversals.
Liquitive Buy/Sell Dollar AveragerLiquitive Buy/Sell Dollar Averager Indicator
The "Liquitive Buy/Sell Dollar Averager" is a versatile trading tool designed for intraday and multi-timeframe analysis, combining advanced range-bound calculations, RSI normalization, volume spikes, and candle pattern recognition to identify optimal buy and sell conditions. This indicator is particularly suitable for traders employing strategies that focus on dollar-cost averaging, position scaling, and systematic buy/sell decision-making.
Key Features:
Adaptive RSI-Based Levels:
Dynamically calculates inner bounds (IB) and outer bounds (OB) using RSI and price ranges, helping to identify overbought and oversold conditions relative to the price action.
Normalizes RSI values to the price range for seamless visualization overlaid on the chart.
Volume and Candle Analysis:
Detects significant volume spikes relative to a moving average, signaling increased market activity.
Identifies spiking green/red candles to capture momentum-driven price movements.
Dynamic Support and Resistance:
Calculates and plots support and resistance levels based on recent swing highs and lows.
Median and boundary lines help visualize key price levels for decision-making.
Profitability Check:
Buy and Sell Signals:
Checks profitability thresholds based on percentage gains/losses.
Incorporates logic for "time to buy" and "time to sell" using target profit margins.
Implements average move percentage to define realistic thresholds for buy/sell actions.
Time-Based Trading Restrictions:
Configures trading logic to disallow trades after a specific time (e.g., 3:40 PM for intraday sessions).
Ensures logical entry and exit decisions are only made within active trading hours.
Color-Coded Visualization:
Background colors dynamically shift between green (bullish), red (bearish), and neutral, depending on RSI and price position relative to the inner bounds.
Opacity of the background adjusts based on normalized RSI differences to provide a visual cue of market strength.
Customizable Parameters:
Allows user input for key settings like lookback periods, RSI length, percent ranges, volume thresholds, and transparency levels, enabling flexible configuration tailored to individual strategies.
Actionable Alerts and Signals:
Plots "Open Position", "Add to Position", and "Close Position" markers directly on the chart, making it easy to follow systematic trading rules.
How It Works:
Buy Signals:
Triggered when price conditions, volume spikes, and RSI-based thresholds align with profitability metrics.
Designed for dollar-cost averaging, identifying opportunities to add to long positions or open new positions.
Sell Signals:
Evaluates profitability conditions to identify when to close or scale out of positions.
Incorporates real-time evaluation of market momentum and profitability.
Top G indicator [BigBeluga]Top G Indicator is a straightforward yet powerful tool designed to identify market extremes, helping traders spot potential tops and bottoms effectively.
🔵 Key Features:
High Probability Signals:
𝔾 Label: Indicates high-probability market bottoms based on specific conditions such as low volatility and momentum shifts.
Top Label: Highlights high-probability market tops using key price action dynamics.
Simple Signals for Potential Extremes:
^ (Caret): Marks potential bottom areas with less certainty than 𝔾 labels.
v (Inverted Caret): Signals potential top areas with less certainty than Top labels.
Midline Visualization:
A smoothed midline helps identify the center of the current range, providing additional context for trend and range trading.
Range Highlighting:
Dynamic bands around the highest and lowest points of the selected period, color-coded for easy identification of the market range.
🔵 Usage:
Spot Extremes: Use 𝔾 and Top labels to identify high-probability reversal points for potential entries or exits.
Monitor Potential Reversals: Leverage ^ and v marks for additional signals on potential turning points, especially during range-bound conditions.
Range Analysis: Use the midline and dynamic bands to determine the market's range and its center, aiding in identifying consolidation or breakout scenarios.
Confirmation Tool: Combine this indicator with other tools to confirm reversal or trend continuation setups.
Top G Indicator is a simple yet effective tool for spotting market extremes, designed to assist traders in making timely decisions by identifying potential tops and bottoms with clarity.
Crypto/Stable Mcap Ratio NormalizedCreate a normalized ratio of total crypto market cap to stablecoin supply (USDT + USDC + DAI). Idea is to create a reference point for the total market cap's position, relative to total "dollars" in the crypto ecosystem. It's an imperfect metric, but potentially helpful. V0.1.
This script provides four different normalization methods:
Z-Score Normalization:
Shows how many standard deviations the ratio is from its mean
Good for identifying extreme values
Mean-reverting properties
Min-Max Normalization:
Scales values between 0 and 1
Good for relative position within recent range
More sensitive to recent changes
Percent of All-Time Range:
Shows where current ratio is relative to all-time highs/lows
Good for historical context
Less sensitive to recent changes
Bollinger Band Position:
Similar to z-score but with adjustable sensitivity
Good for trading signals
Can be tuned via standard deviation multiplier
Features:
Adjustable lookback period
Reference bands for overbought/oversold levels
Built-in alerts for extreme values
Color-coded plots for easy visualization
MA PremiumMA Premium: Advanced Moving Average with Dynamic ATR Bands
MA Premium is a cutting-edge moving average indicator designed to help traders identify potential price reversal zones and optimize their trading strategies. The indicator combines a proprietary “Safety MA” with dynamic ATR-based support and resistance bands, visualized through clean lines and optional cloud regions.
Key Features
1. Proprietary “Safety MA”
The Safety MA utilizes a custom multi-layered EMA algorithm, providing a highly responsive and smooth trend line.
Dynamically adjusts to changing market conditions, offering clear signals for trend direction and potential reversals.
2. Dynamic ATR-Based Bands
Generates multiple support and resistance levels using advanced ATR calculations.
Bands represent zones of increasing market volatility and highlight potential price reversal areas, suitable for tiered trading strategies.
Visually separates overbought and oversold zones to assist in identifying critical price action points.
3. Customizable Settings
Adjustable Bandwidth: Scale the ATR bands dynamically using the Bandwidth Coefficient to align with market volatility.
MA Speed Selection: Toggle between “Fast,” “Medium,” or “Slow” settings to adjust the sensitivity of the Safety MA.
4. Intuitive Visualizations
Optional display of cloud lines and shaded regions to visually enhance support/resistance zones.
A clean and structured design ensures clarity in interpretation.
How to Use
Set the MA Type (“Fast,” “Medium,” or “Slow”) for desired responsiveness.
Adjust the Bandwidth Coefficient to match the current market's volatility.
The Safety MA acts as a dynamic trend-following tool.
Use the ATR-based bands to identify areas where price may react (e.g., potential reversals in overbought or oversold zones).
Employ the dynamic bands for tiered trade execution to manage risk and enhance entry/exit strategies.
Green bands highlight overbought zones (potential bearish reactions).
Red bands indicate oversold zones (potential bullish reactions).
Unlike traditional moving average tools, MA Premium introduces advanced dynamic band calculations and unique visual cues to help traders navigate market volatility effectively. Its adaptability and precision make it an invaluable tool for scalpers, swing traders, and long-term investors alike.
Note on Closed-Source Policy
As part of my development principles, I choose to publish my indicators as closed-source to preserve the uniqueness and integrity of the algorithms used. While the underlying logic remains private, the detailed description provided ensures that traders can fully understand the purpose, functionality, and application of the indicator. This approach allows me to focus on delivering original tools that add value to the trading community.
Disclaimer
This script is provided under the Mozilla Public License 2.0 and is intended for educational purposes only. It should not be construed as financial advice. Always combine this indicator with additional market context and use sound risk management practices.
HV-RV Oscillator by DINVESTORQ(PRABIR DAS)Description:
The HV-RV Oscillator is a powerful tool designed to help traders track and compare two types of volatility measures: Historical Volatility (HV) and Realized Volatility (RV). This indicator is useful for identifying periods of market volatility and can be employed in various trading strategies. It plots both volatility measures on a normalized scale (0 to 100) to allow easy comparison and analysis.
How It Works:
Historical Volatility (HV):
HV is calculated by taking the log returns of the closing prices and finding the standard deviation over a specified period (default is 14 periods).
The value is then annualized assuming 252 trading days in a year.
Realized Volatility (RV):
RV is based on the True Range, which is the maximum of the current high-low range, the difference between the high and the previous close, and the difference between the low and the previous close.
Like HV, the standard deviation of the True Range over a specified period is calculated and annualized.
Normalization:
Both HV and RV values are normalized to a 0-100 scale, making it easy to see their relative magnitude over time.
The highest and lowest values within the period are used to normalize the data, which smooths out short-term volatility spikes.
Smoothing:
The normalized values of both HV and RV are then smoothed using a Simple Moving Average (SMA) to reduce noise and provide a clearer trend.
Crossover Signals:
Buy Signal : When the Normalized HV crosses above the Normalized RV, it indicates that the historical volatility is increasing relative to the realized volatility, which could be interpreted as a buy signal.
Sell Signal : When the Normalized HV crosses below the Normalized RV, it suggests that the historical volatility is decreasing relative to the realized volatility, which could be seen as a sell signal.
Features:
Two Volatility Lines: The blue line represents Normalized HV, and the orange line represents Normalized RV.
Neutral Line: A gray dashed line at the 50 level indicates a neutral state between the two volatility measures.
Buy/Sell Markers: Green upward arrows are shown when the Normalized HV crosses above the Normalized RV, and red downward arrows appear when the Normalized HV crosses below the Normalized RV.
Inputs:
HV Period: The number of periods used to calculate Historical Volatility (default = 14).
RV Period: The number of periods used to calculate Realized Volatility (default = 14).
Smoothing Period: The number of periods used for smoothing the normalized values (default = 3).
How to Use:
This oscillator is designed for traders who want to track the relationship between Historical Volatility and Realized Volatility.
Buy signals occur when HV increases relative to RV, which can indicate increased market movement or potential breakout conditions.
Sell signals occur when RV is greater than HV, signaling reduced volatility or potential trend exhaustion.
Example Use Cases:
Breakout/Trend Strategy: Use the oscillator to identify potential periods of increased volatility (when HV crosses above RV) for breakout trades.
Mean Reversion: Use the oscillator to detect periods of low volatility (when RV crosses above HV) that might signal a return to the mean or consolidation.
This tool can be used on any asset class such as stocks, forex, commodities, or indices to help you make informed decisions based on the comparison of volatility measures.
NOTE: FOR INTRDAY PURPOSE USE 30/7/9 AS SETTING AND FOR DAY TRADE USE 14/7/9
rsi wf breakoutRSI Breakout Asif
RSI Breakout Asif Indicator
Overview:
The RSI Breakout Asif indicator is a custom script designed to analyze and highlight potential
breakout points using the Relative Strength Index (RSI) combined with Williams Fractals. This
indicator is specifically developed for traders who want to identify key momentum shifts in the
market.
Features:
1. RSI Analysis:
- The RSI is calculated using a user-defined length and price source.
- Horizontal lines are plotted at levels 70 (overbought), 50 (neutral), and 30 (oversold) to visually
aid decision-making.
2. Williams Fractals on RSI:
- Detects fractal highs and lows based on RSI values.
- Highlights these fractal points with dynamic, symmetrical lines for better visibility.
3. Customization:
- Users can adjust the RSI length and price source for personalized analysis.
- Fractal settings (left and right bar length) are also adjustable, making the indicator versatile for
different trading styles.
4. Visual Enhancements:
- Fractal highs are marked in red, while fractal lows are marked in green.
Asif - Page 1
RSI Breakout Asif
- Precise line placement ensures clarity and reduces chart clutter.
5. Practical Utility:
- Use the fractal breakout signals in conjunction with other technical indicators for enhanced
decision-making.
Usage:
- Add the RSI Breakout Asif indicator to your TradingView chart.
- Adjust the settings according to your trading strategy.
- Observe the RSI values and fractal points to identify potential breakout zones.
Disclaimer:
This indicator is a technical analysis tool and should be used in combination with other analysis
methods. It does not guarantee profitable trades.
Watermarked by Asif.
Asif - Page 2
Pro Stock Scanner + MACD# Pro Stock Scanner - Advanced Trading System
### Professional Scanning System Combining MACD, Momentum & Technical Analysis
## 🎯 Indicator Purpose
This indicator was developed to identify high-quality trading opportunities by combining:
- Strong positive momentum
- Clear technical trend
- Significant trading volume
- Precise MACD signals
## 💡 Core Mechanics
The indicator is based on three core components:
### 1. Advanced MACD Analysis (40%)
- MACD line crossover tracking
- Momentum strength measurement
- Positive/negative divergence detection
- Score range: 0-40 points
### 2. Trend Analysis (40%)
- Moving average relationships (MA20, MA50)
- Primary trend direction
- Current trend strength
- Score range: 0-40 points
### 3. Volume Analysis (20%)
- Comparison with 20-day average volume
- Volume breakout detection
- Score range: 0-20 points
## 📊 Scoring System
Total score (0-100) composition:
```
Total Score = MACD Score (40%) + Trend Score (40%) + Volume Score (20%)
```
### Score Interpretation:
- 80-100: Strong Buy Signal 🔥
- 65-79: Developing Bullish Trend ⬆️
- 50-64: Neutral ↔️
- 0-49: Technical Weakness ⬇️
## 📈 Chart Markers
1. **Large Blue Triangle**
- High score (80+)
- Positive MACD
- Bullish MACD crossover
2. **Small Triangles**
- Green: Bullish MACD crossover
- Red: Bearish MACD crossover
## 🎛️ Customizable Parameters
```
MACD Settings:
- Fast Length: 12
- Slow Length: 26
- Signal Length: 9
- Strength Threshold: 0.2%
Volume Settings:
- Threshold: 1.5x average
```
## 📱 Information Panel
Real-time display of:
1. Total Score
2. MACD Score
3. MACD Strength
4. Volume Score
5. Summary Signal
## ⚙️ Optimization Guidelines
Recommended adjustments:
1. **Bull Market**
- Decrease MACD sensitivity
- Increase volume threshold
- Focus on trend strength
2. **Bear Market**
- Increase MACD sensitivity
- Stricter trend conditions
- Higher score requirements
## 🎯 Recommended Trading Strategy
### Phase 1: Initial Scan
1. Look for 80+ total score
2. Verify sufficient trading volume
3. Confirm bullish MACD crossover
### Phase 2: Validation
1. Check long-term trend
2. Identify nearby resistance levels
3. Review earnings calendar
### Phase 3: Position Management
1. Set clear stop-loss
2. Define realistic profit targets
3. Monitor score changes
## ⚠️ Important Notes
1. This indicator is a supplementary tool
2. Combine with fundamental analysis
3. Strict risk management is essential
4. Not recommended for automated trading
## 📈 Usage Examples
Examples included:
1. Successful buy signal
2. Trend reversal identification
3. False signal analysis and lessons learned
## 🔄 Future Updates
1. RSI integration
2. Advanced alerts
3. Auto-optimization features
## 🎯 Key Benefits
1. Clear scoring system
2. Multiple confirmation layers
3. Real-time market feedback
4. Customizable parameters
## 🚀 Getting Started
1. Add indicator to chart
2. Adjust parameters if needed
3. Monitor information panel
4. Wait for strong signals (80+ score)
## 📊 Performance Metrics
- Success rate: Monitor and track
- Best performing in trending markets
- Optimal for swing trading
- Most effective on daily timeframe
## 🛠️ Technical Details
```pine
// Core components
1. MACD calculation
2. Volume analysis
3. Trend confirmation
4. Score computation
```
## 💡 Pro Tips
1. Use multiple timeframes
2. Combine with support/resistance
3. Monitor sector trends
4. Consider market conditions
## 🤝 Support
Feedback and improvement suggestions welcome!
## 📜 License
MIT License - Free to use and modify
## 📚 Additional Resources
- Recommended timeframes: Daily, 4H
- Best performing markets: Stocks, ETFs
- Optimal market conditions: Trending markets
- Risk management guidelines included
## 🔍 Final Notes
Remember:
- No indicator is 100% accurate
- Always use proper position sizing
- Combine with other analysis tools
- Practice proper risk management
// @version=5
// @description Pro Stock Scanner - Advanced trading system combining MACD, momentum and volume analysis
// @author AviPro
// @license MIT
//
// This indicator helps identify high-quality trading opportunities by analyzing:
// 1. MACD momentum and crossovers
// 2. Trend strength and direction
// 3. Volume patterns and breakouts
//
// The system provides:
// - Total score (0-100)
// - Visual signals on chart
// - Information panel with key metrics
// - Customizable parameters
//
// IMPORTANT: This indicator is for educational and informational purposes only.
// Always conduct your own analysis and use proper risk management.
//
// If you find this indicator helpful, please consider leaving a like and comment!
// Feedback and suggestions for improvement are always welcome.
High Volume Support and Resistance Levels2مؤشر "High Volume Support and Resistance Levels" هو أداة تحليل تقني تهدف إلى مساعدة المتداولين في تحديد مستويات الدعم والمقاومة الأكثر أهمية بناءً على أحجام التداول العالية. يعتمد المؤشر على فكرة أن المستويات التي تحدث عندها أحجام تداول كبيرة هي نقاط مهمة حيث يكون للسعر احتمالية كبيرة للتوقف أو الارتداد أو حتى الكسر.
فوائد استخدام المؤشر:
يتم تحديد مستويات الدعم والمقاومة بناءً على النشاط الكبير في السوق، مما يعكس أهمية هذه المستويات بالنسبة للمتداولين الآخرين هذه المستويات تعتبر نقاط رئيسية لاتخاذ قرارات التداول.
تحليل البيانات بسهولة بدلاً من الاعتماد على تحليل يدوي أو تخمين مستويات الدعم والمقاومة، يقوم المؤشر بمعالجة البيانات تلقائيًا لتوفير مستويات دقيقة.
يساعد المؤشر على التعرف على كسر الدعم أو المقاومة، وهو أمر يمكن أن يكون إشارة لبداية اتجاه جديد أو تغيير في الزخم.
تخصيص كامل حسب احتياجات المتداول:
القدرة على تحديد عدد المستويات المطلوبة (1 إلى 6 مستويات).
إمكانية اختيار ألوان الخطوط وسمكها لتتناسب مع التفضيلات الشخصية.
تنبيهات للكسر:
يرسل المؤشر تنبيهًا عندما يتجاوز السعر مستوى مقاومة أو دعم رئيسي. هذا التنبيه يمكن أن يساعد في اتخاذ قرارات سريعة للتداول.
الدقة:
المؤشر يقوم بتحليل أحجام التداول خلال فترة محددة (مثل 500 شمعة) مما يجعل نتائجه قائمة على بيانات دقيقة وموثوقة.
كيف يعمل المؤشر؟
تحليل الشموع السابقة:
المؤشر يقوم بمراجعة عدد معين من الشموع السابقة (الفترة الزمنية تُحدد في الإعدادات).
يتم اختيار الشموع ذات أحجام التداول الأعلى.
رسم خطوط الدعم والمقاومة:
يتم رسم خطوط أفقية على الرسم البياني عند أعلى وأدنى سعر للشموع ذات أحجام التداول العالية.
الخطوط تمثل مستويات الدعم والمقاومة الرئيسية.
التنبيه عند الكسر:
إذا تجاوز السعر أعلى مستوى مقاومة، يعتبر ذلك إشارة إلى كسر صعودي (Breakout).
إذا انخفض السعر أسفل مستوى الدعم، يعتبر ذلك إشارة إلى كسر هبوطي.
تنويه:
المؤشر هو أداة مساعدة فقط ويجب استخدامه مع التحليل الفني والأساسي لتحقيق أفضل النتائج.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
Introduction to the indicator:
The "High Volume Support and Resistance Levels" indicator is a technical analysis tool that aims to help traders identify the most important support and resistance levels based on high trading volumes. The indicator is based on the idea that levels at which high trading volumes occur are important points where the price has a high probability of stopping, rebounding or even breaking.
Benefits of using the indicator:
Support and resistance levels are determined based on high market activity, reflecting the importance of these levels to other traders. These levels are key points for making trading decisions.
Easily analyze data Instead of relying on manual analysis or guessing support and resistance levels, the indicator automatically processes the data to provide accurate levels.
The indicator helps identify a break of support or resistance, which can be a signal of the beginning of a new trend or a change in momentum.
Fully customizable to the needs of the trader:
Ability to specify the number of levels required (1 to 6 levels).
Possibility to choose the colors and thickness of the lines to suit personal preferences.
Break Alerts:
The indicator sends an alert when the price breaks a major resistance or support level. This alert can help in making quick trading decisions.
Accuracy:
The indicator analyzes the trading volumes over a specific period (such as 500 candles) making its results based on accurate and reliable data.
How does the indicator work?
Previous candle analysis:
The indicator reviews a certain number of previous candles (the time period is specified in the settings).
Candles with the highest trading volumes are selected.
Drawing support and resistance lines:
Horizontal lines are drawn on the chart at the highest and lowest prices of candles with high trading volumes.
The lines represent the main support and resistance levels.
Breakout alert:
If the price exceeds the highest resistance level, this is a signal for an upward breakout.
If the price drops below the support level, this is a signal for a downward breakout.
Disclaimer:
The indicator is an auxiliary tool only and should be used in conjunction with technical and fundamental analysis to achieve the best results.
Disclaimer
The information and posts are not intended to be, or constitute, any financial, investment, trading or other types of advice or recommendations provided or endorsed by TradingView.
ROE BandROE Band shows the return on net profit from shareholders' equity and the formula for decomposition
ROE = ROA x CSL x CEL
ROE Band consists of 5 parts:
1. ROE (TTM) is the 12-month ROE calculation in "green"
2. Return on Equity (ROE) is the current quarterly net profit / the average of the beginning and ending periods of shareholders' equity in "yellow"
3. Return on Assets (ROA) is the current quarterly NOPAT (net profit before tax) / the average of the beginning and ending periods of total assets in "blue"
4. Capital structure leverage (CSL) is a financial measure that compares a company's debt to its total capital. It is calculated by taking the average of the beginning and ending periods of total assets / the average of the beginning and ending periods of shareholders' equity. The higher the CSL, the more deb, in. "red"
5. Common earnings leverage (CEL) is the proportion of net profit and NOPAT (net profit before tax), where a lower CEL means more tax, in "orange"
The "😱" emoji represents the value if it increases by more than or decreases by less than 20%, e.g.
- ROE(TTM), ROE, ROA, CEL is decreasing
- CSL is increasing
The "🔥" emoji represents the value if it increases by more than or decreases, e.g.
- ROE(TTM), ROE, ROA, CEL is increasing
- CSL is decreasing
Absorption AnalysisThe Absorption Analysis indicator identifies potential market turning points by analyzing volume, price patterns, and market structure across multiple dimensions. It combines traditional technical signals with volume analysis and success rate tracking to provide high-probability reversal opportunities.
Signal Types & Classification
1. Pattern-Based Signals (W-Bottom & M-Top)
**W-Bottom Pattern**
- Pattern Structure:
* Price makes a low below the lower Bollinger Band
* First bounce occurs with price moving higher
* Secondary test forms a higher low
* Final confirmation with bullish close above lower band
- Volume Requirements:
* Must exceed 1.5x the 20-period volume moving average
- Visual Indicators:
* Blue dotted line appears at pattern low
* Line remains until broken by price
* Label shows volume and percentage from baseline
- Success Tracking:
* Pattern stored in historical database
* Success measured by upward price movement
* Historical success rate displayed with signal
**M-Top Pattern**
- Pattern Structure:
* Price makes a high above the upper Bollinger Band
* First pullback occurs with price moving lower
* Secondary push forms a lower high
* Final confirmation with bearish close below upper band
- Volume Requirements:
* Must exceed 1.5x the 20-period volume moving average
- Visual Indicators:
* Orange dotted line appears at pattern high
* Line remains until broken by price
* Label shows volume and percentage from baseline
- Success Tracking:
* Pattern stored in historical database
* Success measured by downward price movement
* Historical success rate displayed with signal
2. Technical Reversals
**Bullish Reversal**
- Entry Conditions:
* Previous candle closes below lower Bollinger Band
* Previous candle must be bearish
* Current candle closes above lower band
* Current candle must be bullish
- Volume Validation:
* Volume must exceed 1.5x 20-period MA
- Visual Markers:
* Green label at reversal point
* Includes volume context
- Trading Implementation:
* Suggests strong buying pressure overcoming selling
* Often marks end of downward price exhaustion
**Bearish Reversal**
- Entry Conditions:
* Previous candle closes above upper Bollinger Band
* Previous candle must be bullish
* Current candle closes below upper band
* Current candle must be bearish
- Volume Validation:
* Volume must exceed 1.5x 20-period MA
- Visual Markers:
* Red label at reversal point
* Includes volume context
- Trading Implementation:
* Suggests strong selling pressure overcoming buying
* Often marks end of upward price exhaustion
3. Volume-Based Reversals
**High Volume Bear to Bull**
- Signal Formation:
* High volume bearish candle (2.5σ above mean)
* Immediately followed by high volume bullish candle
- Market Psychology:
* Shows strong selling being absorbed by buying
* Often indicates institutional accumulation
- Visual Identification:
* Purple "HV Bull" label
* Includes volume statistics
- Trading Context:
* Strong signal for trend reversal
* Most effective at support levels
**High Volume Bull to Bear**
- Signal Formation:
* High volume bullish candle (2.5σ above mean)
* Immediately followed by high volume bearish candle
- Market Psychology:
* Shows strong buying being absorbed by selling
* Often indicates institutional distribution
- Visual Identification:
* Purple "HV Bear" label
* Includes volume statistics
- Trading Context:
* Strong signal for trend reversal
* Most effective at resistance levels
4. Absorption Signals
**Buy Absorption**
- Technical Requirements:
* High volume conditions (2.5σ above mean)
* Spread momentum must be negative
* Fast spread MA below slow spread MA
* Bullish closing candle
- Market Interpretation:
* Indicates buying pressure absorbing selling
* Often precedes upward movement
- Visual Markers:
* Red label with volume context
* Placed at significant price levels
**Sell Absorption**
- Technical Requirements:
* High volume conditions (2.5σ above mean)
* Spread momentum must be negative
* Fast spread MA below slow spread MA
* Bearish closing candle
- Market Interpretation:
* Indicates selling pressure absorbing buying
* Often precedes downward movement
- Visual Markers:
* Green label with volume context
* Placed at significant price levels
Volume Analysis Components
Volume Calculation
- Rolling baseline volume calculated based on timeframe:
* Monthly: 6-period sum
* Weekly: 12-period sum
* Daily: 20-period sum
* Intraday: Proportional to timeframe
- Net volume = Bullish volume - Bearish volume
- Volume percentage calculated against baseline
- High volume threshold = 2.5 standard deviations
- Pattern volume threshold = 1.5x 20MA
Exchange Aggregation
- Primary symbol (chart) always included
- Optional secondary symbol data
- Combines volume data for stronger signals
- Useful for crypto markets with split liquidity
Success Rate Implementation
Rate Calculation
- Based on user-defined lookback period
- Separately tracked for each pattern type
- Bullish patterns: Percentage of times price moved higher
- Bearish patterns: Percentage of times price moved lower
- Used to filter alerts with minimum threshold
Pattern Storage
- Arrays maintain historical pattern data
- Limited to lookback period size
- Oldest patterns removed as new ones form
- Constantly updated success rates
## Trading Implementation
### Signal Priority
1. Pattern Signals (W/M)
- Highest reliability due to complex criteria
- Must meet all volume and price conditions
- Line break provides clear invalidation
2. High Volume Reversals
- Strong indication of institutional activity
- Clear volume confirmation
- Immediate reversal potential
3. Technical Reversals
- Traditional technical analysis backbone
- Enhanced with volume confirmation
- Good for trend trading
4. Absorption Signals
- Early warning system
- Best used with other confirmations
- Good for position building
Best Practices
- Look for multiple signal types aligning
- Consider higher timeframe context
- Use success rates to filter setups
- Monitor volume context closely
- Wait for candle closes
- Use line breaks for clear invalidation
- Consider market structure
- Pay attention to success rates
- Use appropriate position sizing
Risk Management
- Use pattern breaks for stop losses
- Consider historical success rates
- Larger positions for multiple signal confluence
- Respect timeframe hierarchy
- Monitor volume for confirmation
- Use proper position sizing
- Consider market volatility
This indicator provides a comprehensive framework for identifying potential market turning points while maintaining rigorous risk management through multiple confirmation factors and clear invalidation levels.
BK BB Horizontal LinesIndicator Description:
I am incredibly proud and excited to share my second indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Bollinger Bands are a critical component of my trading strategy. I designed this indicator to work seamlessly alongside my previously introduced tool, "BK MA Horizontal Lines." This indicator focuses specifically on the Daily Bollinger Bands, applying horizontal lines to the bands which is displayed in all timeframes. The Daily bands in my opinion hold a strong significance when it comes to support and resistance, knowing your current positioning and maximizing your trades. The settings are fully adjustable to suit your preferences and trading style.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Range Channel by Atilla YurtsevenThis script creates a dynamic channel around a user-selected moving average (MA). It calculates the relative difference between price and the MA, then finds the average of the positive differences and the negative differences separately. Using these averages, it plots upper and lower bands around the MA as well as a histogram-like oscillator to show when price moves above or below the average thresholds.
How It Works
Moving Average Selection
The indicator allows you to choose among multiple MA types (SMA, EMA, WMA, Linear Regression, etc.). Depending on your preference, it calculates the chosen MA for the selected lookback period.
Relative Difference Calculation
It then computes the percentage difference between the source (typically the closing price) and the MA. (diff = (src / ma - 1) * 100)
Positive & Negative Averages
- Positive differences are averaged and represent how far the price typically moves above the MA.
- Negative differences are similarly averaged for when price moves below the MA.
Range Channel & Oscillator
- The channel is plotted around the MA using the average positive and negative differences (Upper Edge and Lower Edge).
- The “Untrended” histogram plots the difference (diff). Green bars occur when price is above the MA on average, and red bars when below. Two additional lines mark the upper and lower average thresholds on this histogram.
How to Use
Identify Overbought/Oversold Zones: The upper edge can serve as a dynamic overbought level, while the lower edge can suggest potential oversold conditions. When the histogram approaches or crosses these levels, it may signal price extremes relative to its average movement.
Trend Confirmation: Compare price action relative to the channel. If price and the histogram consistently remain above the MA and upper threshold, it could indicate a stronger bullish trend. If they remain below, it might signal a prolonged bearish trend.
Entry/Exit Timings:
- Entry: Traders can look for moments when price breaks back inside the channel from an extreme, anticipating a mean reversion.
- Exit: Watching how price interacts with these dynamic edges can help define stop-loss or take-profit points.
Because these thresholds adapt over time based on actual price behavior, they can be more responsive than fixed-percentage bands. However, like all indicators, it’s most effective when used in conjunction with other technical and fundamental tools.
Disclaimer
This script is provided for educational and informational purposes only. It does not guarantee any specific outcome or profit. Use it at your own discretion and risk.
Trade smart, stay safe.
Atilla Yurtseven
Bitcoin Logarithmic Regression BandsOverview
This indicator displays logarithmic regression bands for Bitcoin. Logarithmic regression is a statistical method used to model data where growth slows down over time. I initially created these bands in 2019 using a spreadsheet, and later coded them in TradingView in 2021. Over time, the bands proved effective at capturing Bitcoin's bull market peaks and bear market lows. In 2024, I decided to share this indicator because I believe these logarithmic regression bands offer the best fit for the Bitcoin chart.
How It Works
The logarithmic regression lines are fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). The two lines in the upper and lower bands share the same 'a' factor, but I adjust the 'b' factor by 0.2 to more accurately capture the bull market peaks and bear market lows. The formula for logaritmic regression is 10^((a * ln) - b).
How to Use the Logarithmic Regression Bands
1. Lower Band (Support Band):
The two lines in the lower band create a potential support area for Bitcoin’s price. Historically, Bitcoin’s price has always found its lows within this band during past market cycles. When the price is within the lower band, it suggests that Bitcoin is undervalued and could be set for a rebound.
2. Upper Band (Resistance Band):
The two lines in the upper band create a potential resistance area for Bitcoin’s price. Bitcoin has consistently reached its highs in this band during previous market cycles. If the price is within the upper band, it indicates that Bitcoin is overvalued, and a potential price correction may be imminent.
Use Cases
- Price Bottoming:
Bitcoin tends to bottom out at the lower band before entering a prolonged bull market or a period of sideways movement.
- Price Topping:
In reverse, Bitcoin tends to top out at the upper band before entering a bear market phase.
- Profitable Strategy:
Buying at the lower band and selling at the upper band can be a profitable trading strategy, as these bands often indicate key price levels for Bitcoin’s market cycles.
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Turtle ZoneTurtle Zone indicator helps to visually determine support and resistance zones of the price movement.
Displays a channel with zones located symmetrically around the moving average of the price.
Width of the channel is determined by the current volatility computed as average true range which makes the channel width adaptable to the volatility.
Touching of the zones from inside of the channel can be interpreted as a signal of potential reversal.
Breaking outside of the outer boundary of the zones can be interpreted as a signal of a potential continuation of price movement.
Parameters
• Price Source - Component of the bar for computation. Default is ‘hlc3’. Other reasonable values, such as ‘ohlc4’, ‘open’ or’ close’ can be used by advanced users.
• Lookback period - Amount of bars used in moving average computation. Default is 200.
• Inner Amplitude - Relative width of the inner channel. Default is 5.6.
• Outer Amplitude - Relative width of the outer channel. Default is 9.6.
Available plots for notifications
There are five plots on the graph comprising the channel: four boundaries of the channel bands and one hidden mean line of the channel:
Upper Zone Upper Line
Upper Zone Lower Line
Mean
Lower Zone Upper Line
Lower Zone Lower Line
All of the plots can be used to set up notifications.
Notes
All computations are performed in logarithmic price scale which makes this indicator useful on large timeframes.
Credits
This script uses Ehlers_Super_Smoother library by KevanoTrades
IronBot v3Introduction
IronBot V3 is a TradingView indicator that analyzes market trends, identifies potential trading opportunities, and helps manage trades by visualizing entry points, stop-loss levels, and take-profit targets.
How It Works
The indicator evaluates price action within a specified analysis window to determine market trends. It uses Fibonacci retracement levels to identify key price levels for trend detection and trading signals. Based on user-defined inputs, it calculates and displays trade levels, including entry points, stop-loss, and multiple take-profit levels.
Trend Definition:
The highest high and lowest low are calculated over a specified number of candles.
The price range is determined as the difference between the highest high and lowest low.
Three Fibonacci levels are calculated within this range:
- Fib Level 0.236
- Trend Line (0.5 level)
- Fib Level 0.786
Determining Long and Short Conditions:
Long Conditions (Buy):
The closing price must be above both the trend line (0.5 level) and the Fib Level 0.236.
Additionally, the market must not currently be in a bearish trend.
Short Conditions (Sell):
The closing price must be below both the trend line and the Fib Level 0.786.
The market must not currently be in a bullish trend.
Trend State Updates:
When a condition is met, the indicator sets the trend to bullish or bearish and turns off bearish or bullish trend conditions.
If neither buy nor sell conditions are met, the trend remains unchanged, and no new trade signals are generated.
Inputs and Their Role in the Algorithm
General Settings
Analysis Window: Specifies the number of historical candles to analyze. This influences the calculation of key levels such as highs and lows, which are critical for determining Fibonacci retracement levels.
First Trade: Defines the start date for generating trading signals.
Trade Configuration
Display TP/SL: Enables or disables the visualization of take-profit and stop-loss levels on the chart.
Leverage: Defines the leverage applied to trades for risk and position size calculations.
Initial Capital: Specifies the starting capital, which is used for calculating position sizes and profits.
Exchange Fees (%): Sets the percentage of fees applied by the exchange, which is factored into profit calculations.
Country Tax (%): Allows users to define applicable taxes, which are subtracted from net profits.
Stop-Loss Configuration
Break Even: Toggles the break-even functionality. When enabled, the stop-loss level adjusts dynamically as take-profit levels are reached.
Stop Loss (%): Defines the percentage distance from the entry price to the stop-loss level.
Take-Profit Settings
The indicator supports up to four take-profit levels:
- TP1 through TP4 Ratios: Specify the price levels for each take-profit target as a percentage of the entry price.
- Profit Percentages: Allocate a percentage of the position size to each take-profit level.
Visualization Elements
Trend Indicators: Displays Fibonacci-based trend lines and markers for bullish or bearish conditions.
Trade Levels: Entry, stop-loss, and take-profit levels are visualized on the chart by dotted lines for clarity. Additionally, a semi-transparent background is applied when a portion of the trade is closed to enhance visualization. Positive profits from a closed trade are green; otherwise, they are red.
Trade Profit Indicator: On each trade, every time a part of the trade is closed (e.g., take profit is reached), the profit indicator will be updated.
Performance Panel: Summarizes key account statistics, including net balance, profit/loss, and trading performance metrics.
Usage Guidelines
Add the indicator to your TradingView chart.
Configure the input settings based on your trading strategy.
Use the displayed levels and trend signals to make informed trading decisions.
Contact
For further assistance, including automation inquiries, feel free to contact me through TradingView’s messaging system.
Purpose and Disclaimer
IronBot V3 is designed for educational purposes and to assist in analyzing market trends. It is not financial advice, and users should perform their own due diligence before making any trading decisions.
Trading involves significant risk, and past performance is not indicative of future results. Use this indicator responsibly.
GapAura: Dynamic Gap [AstroHub]GapAura is a powerful indicator designed to analyze and visualize price gaps on your charts. It focuses on the key levels created by gaps between the open of the current day and the close of the previous day. The indicator connects these gap levels with trend-like lines, allowing traders to easily identify significant price movements and potential turning points in the market.
GapCloud automatically differentiates between upward and downward gaps, helping traders visualize important support and resistance levels that emerge following these gaps. The lines representing these gaps behave like trend lines, providing clear and actionable insights for market analysis. Unlike traditional gap indicators, GapCloud offers a dynamic approach to gap visualization, making it easier for traders to assess the impact of price gaps on future market movement.
How to Use:
Gap Up: When the open of the current day is higher than the close of the previous day, GapCloud draws a line connecting these two levels. This visualizes the gap upward and helps identify the trend direction, as well as potential support zones.
Gap Down: When the open of the current day is lower than the close of the previous day, the indicator draws a line that connects these levels, showing a downward gap. This can highlight potential resistance levels.
The lines for each gap are connected to form continuous trend-like levels, giving traders a clear picture of market structure. These lines can also be used to identify areas of strong support or resistance, and potential turning points where the price may reverse or continue in the same direction.
What Makes This Indicator Unique:
GapCloud stands out by transforming gaps into trend-like lines, offering more than just a simple visualization of the gap itself. By connecting the open and close levels of the current and previous day, it allows traders to see how these price differences can act as significant support or resistance levels. These lines help traders spot market trends and potential reversals more clearly, giving them an edge in making more informed trading decisions.
The ability to visualize gaps as trend lines gives traders a unique advantage in understanding market behavior. Gaps are not just seen as isolated events; they are integrated into the overall market structure and can provide critical insights into the potential price direction.
In addition to this, GapCloud offers a high degree of customization. Users can adjust the thickness, style, and color of the gap lines to fit their trading preferences and style. This makes the indicator adaptable to various types of trading strategies, from short-term to long-term analysis.
Key Features:
Identifies and visualizes gaps between the open of the current day and the close of the previous day.
Converts gap levels into trend-like lines, providing clarity and actionable insights for traders.
Helps identify potential support and resistance levels based on gap locations.
Fully customizable settings, including line thickness, style, and color, to suit individual trading preferences.
Provides a dynamic approach to gap analysis, helping traders forecast market direction and potential reversals with greater accuracy.
GapCloud is an essential tool for any trader looking to enhance their market analysis. By visualizing price gaps as connected trend lines, it simplifies the process of identifying key levels and market structure, giving traders an edge in understanding price movements and making more informed decisions.
Fast WMAThe Fast WMA is a reactive trend-following tool designed to provide rapid signals on the ETHBTC ratio. It uses advanced smoothing techniques and normalized thresholds to detect trends effectively. Let’s break it down further:
Source Smoothing with Standard Deviations
The source price data is smoothed by calculating its standard deviation, which measures how far prices typically move from the average. This creates upper and lower deviation levels:
The upper deviation represents a high boundary where prices might be overextended.
The lower deviation represents a low boundary where prices might be oversold.
These deviations are combined with the Weighted Moving Average (WMA) to filter out noise and focus on significant price movements.
Weighting the WMA for Further Smoothing
The Weighted Moving Average (WMA) itself is refined by applying adjustable weights:
An upper weight expands the WMA, forming an Upper Band.
A lower weight compresses the WMA, forming a Lower Band.
This dual-weighted approach allows the tool to adapt dynamically to price action, highlighting areas of potential trend reversals or continuations.
Normalized WMA (NWMA) with Adjustable Thresholds
The Normalized WMA (NWMA) adds an extra layer of analysis:
It compares the source price to its smoothed average, expressing the result as a percentage change.
This helps identify whether the market is overbought (positive NWMA) or oversold (negative NWMA).
Two adjustable thresholds—a long threshold (for buy signals) and a short threshold (for sell signals)—allow users to fine-tune the sensitivity of these signals based on their trading style or the market's volatility.
Entry/Exit Conditions
The Fast WMA generates signals based on two conditions:
Buy (Long) Signal:
Occurs when the price stays above the lower deviation level, and the NWMA crosses above the long threshold.
Indicates bullish momentum and suggests an upward trend.
Sell (Short) Signal:
Occurs when the price falls below the upper deviation level, and the NWMA drops below the short threshold.
Indicates bearish momentum and suggests a downward trend.
Important Note
This indicator is not designed to work alone. It’s a powerful tool for identifying trends but should be combined with other analyses, such as volume, higher time-frame trends, or fundamental analysis, for better decision-making.
Plotting Features
The Fast WMA includes intuitive visual cues to enhance usability:
Color-Coded Signals:
Colors change dynamically to indicate trend direction.
Options are available to customize the color scheme (e.g., for specific trading pairs like ETHBTC or SOLBTC).
Threshold Lines:
Dashed horizontal lines mark the long and short thresholds, helping users visualize signal levels.
Bands and Fill Areas:
The Upper Band and Lower Band are plotted around the WMA, with shaded regions indicating the deviation zones.
Signal Arrows:
Triangles appear below or above candles to highlight potential buy (upward arrow) or sell (downward arrow) points.
Bar Coloring:
Candlesticks are colored according to trend direction, making it easier to identify trends at a glance.
The Fast WMA combines mathematical precision with user-friendly visualization, offering traders a versatile tool to analyze trends and make informed decisions. However, like any indicator, it’s most effective when used as part of a broader trading strategy.
Bollinger Band Touch with SMI and MACD AngleThis strategy is intended for short timeframes to enter and exit when price touches lower and upper bollinger bands with confluence on RSI and MACD
Mean Reversion V-FThis strategy workings on high volatile stock or crypto assets
It using 5 dynamic band's to get in the long position.
In same time depends on the band increases the units of the asset to get in the next position.
The unit's of the asset can be adjusted. Make sure to adjust the unit for different asset.
The bands are determined of main SMA.
There is no stop loss.
Take profit is trialing - HMA or % or average price + take profit - note if you use % trailing back test is not realistic but is working on real time.
Deviations can be adjust depends on the asset volatility.
