Zigzag3 -Invincible3Description:
Zigzag3 - Invincible3 is a powerful and flexible support and resistance indicator for TradingView. Utilizing an enhanced ZigZag algorithm and Dow Theory principles, it detects price pivots, higher highs (HH), lower highs (LH), higher lows (HL), and lower lows (LL). The indicator draws lines and labels to visualize these pivots, making it easier to identify market structure, trends, and potential reversal points.
The Length input allows traders to control the sensitivity of pivot detection.
Support and Resistance Lines:
Displays dotted and solid SR lines based on significant pivots to highlight key market zones.
Option to extend support/resistance lines dynamically with real-time progression for the latest pivot.
Labels for Dow Theory Points:
Mark higher highs, lower highs, higher lows, and lower lows with customizable colors.
Identifies market direction and potential breakout levels with visual clarity.
ZigZag Line Visualization:
Toggle the ZigZag lines to connect pivots for a better understanding of price movement.
Dynamic Dotted Line Progression:
A dotted line extends in real-time from the most recent significant pivot point, aiding in quick analysis.
This indicator is ideal for traders looking to analyze market structure, identify trends, and spot potential reversals. It can be used as a standalone tool or in combination with other strategies for enhanced precision.
Indikator dan strategi
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
alertsLibrary "alerts"
The library provides options to run alert() calls in loop without worrying about limitations of frequency options.
When an alert statement is called within a loop,
it will fire just once per bar irrespective of how many iterations allowed when fequency is set to alert.freq_once_per_bar or alert.freq_once_per_bar_close
it will fire continuously till it breaks when frequency is set to alert.freq_all
The function helps overcome this issue by using varip key array which resets on every bar
method alert(message, key)
Enhanced alert which can be used in loops
Namespace types: series string, simple string, input string, const string
Parameters:
message (string) : Alert message to be fired
key (string) : Key to be checked to avoid repetitive alerts
Returns: array containing id of already fired alerts
method updateAlertTemplate(this, template)
Updates alert template with given keys and values
Namespace types: map
Parameters:
this (map) : map containing key value pair
template (string) : Alert message template
Returns: updated alert message
Flag Screener [QuantVue]Flag Screener is a screening tool that identify bull and bear flags in up to 40 different symbols.
The indicator takes a comma separated list of symbols and then scans the symbols in real time to detect bull or bear flags.
What are flags
Flags are continuation patterns that occur within the general trend of the security. A bull flag represents a temporary pause or consolidation before price resumes it's upward movement, while a bear flag occurs before price continues its downward movement.
Both flag patterns consist of two components:
The Pole
The Flag
The pole is the initial strong upward surge or decline that precedes the flag. The pole is usually a fast move accompanied by heavy volume signaling significant buying or selling pressure.
The flag is then formed as price consolidates after the initial surge or decline from the pole. For a bull flag price will drift slightly downward to sideways, a bear flag will drift upward to sideways. The best flags often see volume dry up during this phase of the pattern.
Indicator Settings
Both components are fully customizable in the indicator so the user can adjust for any time frame or volatility. Select the minimum and maximum accepted limits from the % gain loss required for the pole, the maximum acceptable flag depth or rally and the minimum and maximum number of bars for each component.
Yakloft Support and Resistance LevelsYakloft Support and Resistance Levels Indicator
The Yakloft Support and Resistance Levels indicator is a powerful tool designed to help traders identify key support and resistance levels on a price chart. By leveraging advanced pivot point calculations and customizable settings, this indicator provides clear visual cues for potential price reversals and market trends.
Key Features
Automatic Support and Resistance Levels:
Dynamic Calculation: The indicator automatically identifies and plots significant support and resistance levels based on pivot highs and lows.
Customizable Strength: Adjust the S/R Strength parameter to filter levels according to their significance. Higher values display fewer but more robust levels.
Zones Around Levels:
Support and Resistance Zones: Create zones around each support and resistance level to highlight areas of interest rather than exact price points.
High/Low Zones: Plot zones around the highest and lowest price levels within a specified period, providing additional context for potential breakouts or reversals.
Zone Width Adjustment: Customize the width of the zones using the Zone Width % parameter, calculated as a percentage of the price range over the last 300 bars.
Line Styles and Fills:
Customizable Appearance: Modify line colors, styles (Solid, Dotted, Dashed), and widths to match your chart preferences.
Line Fills: Enhance visual clarity by filling zones with semi-transparent colors, making it easier to distinguish between support and resistance areas.
Dynamic Line Management:
Automatic Line Removal: To keep your chart uncluttered, the indicator removes a support or resistance line after the price crosses it twice. This feature helps you focus on the most relevant and current levels.
Expandable Lines:
Line Extension: Choose to extend lines both forward and backward in time with the Expand S/R Lines option, providing a comprehensive view of historical support and resistance.
How It Works
The indicator analyzes price data to identify pivot highs and lows over a specified lookback period. These pivot points are potential areas where the price may reverse or experience significant support or resistance. By filtering these points based on the S/R Strength parameter, the indicator ensures that only the most significant levels are displayed.
Once the levels are identified:
Support Levels: Plotted when the price shows potential to stop falling and possibly start rising.
Resistance Levels: Plotted when the price may stop rising and potentially start falling.
The indicator enhances these levels by:
Adding Zones: By creating a buffer around each level, traders can see areas where the price might interact with support or resistance, rather than focusing on a single price point.
Line Fills: The zones are filled with a semi-transparent color corresponding to support or resistance, improving visual distinction.
Input Parameters
Enable Support & Resistance: Toggle the entire indicator on or off.
Support Color: Choose the color for support lines and fills.
Resistance Color: Choose the color for resistance lines and fills.
S/R Strength: Set the sensitivity of level detection. Higher values result in fewer, more significant levels.
Line Style: Select the style of the support and resistance lines (Solid, Dotted, Dashed).
S/R Line Width: Adjust the thickness of the support and resistance lines.
Enable Zones: Toggle the display of zones around each level.
Enable High/Low Zones: Toggle the display of zones around the highest and lowest price levels.
Zone Width %: Define the width of the zones as a percentage of the price range over the last 300 bars.
Expand S/R Lines: Choose whether to extend the lines across the entire chart or limit them to recent data.
Using the Indicator
Identifying Key Levels:
Use the plotted support and resistance levels to identify potential entry and exit points.
Pay attention to the zones, as they represent areas where the price is more likely to react.
Monitoring Price Interaction:
Observe how the price behaves around the support and resistance levels.
The automatic removal of lines after two crossings helps focus on active levels.
Customizing for Clarity:
Adjust the visual settings to match your trading style and improve chart readability.
Experiment with the S/R Strength and Zone Width % to fine-tune the indicator to different market conditions.
Best Practices
Combine with Other Analysis Tools:
Use the indicator alongside other technical analysis tools like trend lines, moving averages, and oscillators for a more comprehensive market view.
Adjust for Different Timeframes:
The indicator works on various timeframes. Adjust the parameters when switching between short-term and long-term charts to maintain effectiveness.
Stay Updated with Market Conditions:
Market volatility can affect the significance of support and resistance levels. Regularly adjust the S/R Strength parameter to align with current market dynamics.
Limitations
Not a Standalone Solution:
While the indicator provides valuable insights, it should not be used in isolation. Always consider broader market analysis and risk management practices.
Historical Data Dependency:
The accuracy of the levels depends on the availability of sufficient historical data. Ensure your chart includes enough data for the indicator to perform effectively.
PSP Indicator [Elbaz]Precision Swing Point or PSP is a unique technical analysis tool designed to compare the price action of three tickers that are in sync.
It highlights moments when the price structure diverges between the markets, identifying ideal entry points for trades - We would like to enter a trade when we found PSP and one of the tickers took the wick while others didn't.
This strategy provides an edge by focusing on periods of desynchronization between the indices, where one index may be showing strength while another is lagging. The idea is to find the moments where the candle colors (bullish or bearish) differ across the markets, then wait for one of the tickers to "take" the wick of the PSP while other didn't and enter a trade.
Once a divergence is detected, the indicator plots an arrow on the chart, signaling a potential trade entry. To minimize risk, a good place to put stop loss will at the end of the wick of the PSP — the high or low wick of the candle where the divergence occurs.
The PSP Indicator allows for several custom inputs:
- Tickers: Customize the tickers to compare. The default values are S&P 500 E-mini, NASDAQ E-mini, and Dow Jones E-mini, if you trade Crypto you might want to use BTC, ETH, TOTAL3.
- Lookback Period: The lookback input defines how far back the indicator should evaluate to calculate the price structure point.
- Highlight Bar Times: Users can specify particular times during the trading day to highlight, such as the market open or significant news events. This helps traders focus on key trading windows.
Simple Moving Average with Regime Detection by iGrey.TradingThis indicator helps traders identify market regimes using the powerful combination of 50 and 200 SMAs. It provides clear visual signals and detailed metrics for trend-following strategies.
Key Features:
- Dual SMA System (50/200) for regime identification
- Colour-coded candles for easy trend visualisation
- Metrics dashboard
Core Signals:
- Bullish Regime: Price < 200 SMA
- Bearish Regime: Price > 200 SMA
- Additional confirmation: 50 SMA Cross-over or Cross-under (golden cross or death cross)
Metrics Dashboard:
- Current Regime Status (Bull/Bear)
- SMA Distance (% from price to 50 SMA)
- Regime Distance (% from price to 200 SMA)
- Regime Duration (bars in current regime)
Usage Instructions:
1. Apply the indicator to your chart
2. Configure the SMA lengths if desired (default: 50/200)
3. Monitor the color-coded candles:
- Green: Bullish regime
- Red: Bearish regime
4. Use the metrics dashboard for detailed analysis
Settings Guide:
- Length: Short-term SMA period (default: 50)
- Source: Price calculation source (default: close)
- Regime Filter Length: Long-term SMA period (default: 200)
- Regime Filter Source: Price source for regime calculation (default: close)
Trading Tips:
- Use bullish regimes for long positions
- Use bearish regimes for capital preservation or short positions
- Consider regime duration for trend strength
- Monitor distance metrics for potential reversals
- Combine with other systems for confluence
#trend-following #moving average #regime #sma #momentum
Risk Management:
- Not a standalone trading system
- Should be used with proper position sizing
- Consider market conditions and volatility
- Always use stop losses
Best Practices:
- Monitor multiple timeframes
- Use with other confirmation tools
- Consider fundamental factors
Version: 1.0
Created by: iGREY.Trading
Release Notes
// v1.1 Allows table overlay customisation
// v1.2 Update to v6 pinescript
Customizable Psychological LevelsThe Customizable Psychological Levels indicator is designed to simplify the process of marking psychological levels on your chart without the need to manually add lines. Psychological levels are critical price zones where market participants often make decisions, such as round numbers or price levels that align with key technical analysis thresholds.
This indicator offers a fully automated way to plot these levels, with customizable options for intervals, colors, line thickness, and styles. Traders can focus more on their analysis and decision-making while relying on this tool to display consistent and accurate psychological levels across different timeframes.
Key Features:
Automated Level Drawing:
Major, intermediate, and minor levels are plotted automatically based on user-defined intervals.
No need to draw lines manually, saving time and ensuring precision.
Customizable Settings:
Choose intervals for each level type (major, intermediate, minor).
Select unique colors, line thickness, and styles (solid, dashed, or dotted) to distinguish levels visually.
Non-Overlapping Levels:
Includes an option to prevent overlapping levels, ensuring a clean and organized chart.
Dynamic or Fixed Levels:
Levels adjust dynamically to the chart’s price range, making them suitable for various instruments and timeframes.
Benefits:
Enhances productivity by automating the process of marking psychological levels.
Offers a highly customizable and visually appealing solution for traders who rely on psychological levels in their trading strategies.
Helps traders quickly identify critical price zones and make informed decisions.
This tool is perfect for both beginner and experienced traders who want to streamline their workflow while maintaining a professional and systematic approach to technical analysis.
ENIGMA UNLOCKEDENIGMA Indicator: A Comprehensive Market Bias & Success Tracker
The ENIGMA Indicator is a powerful tool designed for traders who aim to identify market bias, track price movements, and evaluate trade performance using multiple timeframes. It combines multiple indicators and advanced logic to provide real-time insights into market trends, helping traders make more informed decisions.
Key Features
1. Multi-Timeframe Bias Calculation:
The ENIGMA Indicator tracks the market bias across multiple timeframes—Daily (D), 4-Hour (H4), 1-Hour (H1), 30-Minute (30M), 15-Minute (15M), 5-Minute (5M), and 1-Minute (1M).
How the Bias is Created:
The Bias is a key feature of the ENIGMA Indicator and is determined by comparing the current price with previous price levels for each timeframe.
- Bullish Bias (1): The market is considered **bullish** if the **current closing price** is higher than the **previous timeframe’s high**. This suggests that the market is trending upwards, and buyers are in control.
- Bearish Bias (-1): The market is considered **bearish** if the **current closing price** is lower than the **previous timeframe’s low**. This suggests that the market is trending downwards, and sellers are in control.
- Neutral Bias (0): The market is considered **neutral** if the price is between the **previous high** and **previous low**, indicating indecision or a range-bound market.
This bias calculation is performed independently for each timeframe. The **Bias** for each timeframe is then displayed in the **Bias Table** on your chart, providing a clear view of market direction across multiple timeframes.
2. **Customizable Table Display:**
- The indicator provides a table that displays the bias for each selected timeframe, clearly marking whether the market is **Bullish**, **Bearish**, or **Neutral**.
- Users can choose where to place the table on the chart: top-left, top-right, bottom-left, bottom-right, or center positions, allowing for easy and personalized chart management.
3. **Win/Loss Tracker:**
- The table also tracks the **success rate** of **buy** and **sell** trades based on price retests of key bias levels.
- For each period (Day, Week, Month), it tracks how often the price has moved in the direction of the initial bias, counting **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses**.
- This helps traders assess the effectiveness of the market bias over time and adjust their strategies accordingly.
#### **How the Success Calculation Determines the Success Rate:**
The **Success Calculation** is designed to track how often the price follows the direction of the market bias. It does this by evaluating how the price retests key levels associated with the identified market bias:
1. **Buy Success Calculation**:
- The success of a **Buy Trade** is determined when the price breaks above the **previous high** after a **bullish bias** has been identified.
- If the price continues to move higher (i.e., makes a new high) after breaking the previous high, the **buy trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Buy Win**.
2. **Sell Success Calculation**:
- The success of a **Sell Trade** is determined when the price breaks below the **previous low** after a **bearish bias** has been identified.
- If the price continues to move lower (i.e., makes a new low) after breaking the previous low, the **sell trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Sell Win**.
3. **Failure Calculations**:
- If the price does not move as expected (i.e., it does not continue in the direction of the identified bias), the trade is considered a **loss** and is tracked as **Buy Loss** or **Sell Loss**, depending on whether it was a bullish or bearish trade.
The ENIGMA Indicator keeps a running tally of **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses** over a set period (which can be customized to Days, Weeks, or Months). These statistics are updated dynamically in the **Bias Table**, allowing you to track your success rate in real-time and gain insights into the effectiveness of the market bias.
#### **Customizable Period Tracking:**
- The ENIGMA Indicator allows you to set custom tracking periods (e.g., 30 days, 2 weeks, etc.). The performance metrics reset after each tracking period, helping you monitor your success in different market conditions.
5. **Interactive Settings:**
- **Lookback Period**: Define how many bars the indicator should consider for bias calculations.
- **Success Tracking**: Set the number of candles to track for calculating the win/loss performance.
- **Time Threshold**: Set a time threshold to help define the period during which price retests are considered valid.
- **Info Tooltip**: You can enable the information tool in the settings to view detailed explanations of how wins and losses are calculated, ensuring you understand how the indicator works and how the results are derived.
#### **How to Use the ENIGMA Indicator:**
1. **Install the Indicator**:
- Add the ENIGMA Indicator to your chart. It will automatically calculate and display the bias for multiple timeframes.
2. **Interpret the Bias Table**:
- The bias table will show whether the market is **Bullish**, **Bearish**, or **Neutral** across different timeframes.
- Look for alignment between the timeframes—when multiple timeframes show the same bias, it may indicate a stronger trend.
3. **Use the Win/Loss Tracker**:
- Track how well your trades align with the bias using the **Win/Loss Tracker**. This helps you refine your strategy by understanding which timeframes and biases lead to higher success rates.
- For example, if you see a high number of **Buy Wins** and a low number of **Sell Wins**, you may decide to focus more on buying during bullish trends and avoid selling during bearish retracements.
4. **Track Your Period Performance**:
- The indicator will automatically track your performance over the set period (Days, Weeks, Months). Use this data to adjust your approach and evaluate the effectiveness of your trading strategy.
5. **Position the Table**:
- Customize the placement of the table on your chart based on your preferences. You can choose from options like **Top Left**, **Top Right**, **Bottom Left**, **Bottom Right**, or **Center** to keep the chart uncluttered.
6. **Adjust Settings**:
- Modify the indicator settings according to your trading style. You can adjust the **Lookback Period**, **Number of Candles to Track**, and **Time Threshold** to match the pace of your trading.
7. **Use the Info Tooltip**:
- Enable the **Info Tool** in the settings to understand how the Buy/Sell Wins and Losses are calculated. The tooltip provides a breakdown of how the indicator tracks price movements and calculates the success rate.
**Conclusion:**
The **ENIGMA Indicator** is designed to help traders make informed decisions by providing a clear view of the market bias and performance data. With the ability to track bias across multiple timeframes and evaluate your trading success, it can be a powerful tool for refining your trading strategies.
Whether you're looking to focus on a single timeframe or analyze multiple timeframes for a stronger bias, the ENIGMA Indicator adapts to your needs, providing both real-time market insights and performance feedback.
USDT.D Volatility TrackerUSDT.D Volatility Tracker
Description:
This script is designed to track the volatility of USDT.D (US Dollar in cryptocurrency) on the TradingView platform. It uses a moving average and deviation from it to generate buy and sell signals, helping traders visualize changes in volatility and make informed decisions.
Input Parameters:
maPeriod: The period of the moving average (default 120). This parameter allows users to adjust the length of the period used to calculate the moving average.
devThreshold: The deviation threshold (default 0.6). This parameter defines the level of deviation that will trigger buy or sell signals.
Data Request:
The script requests closing data for USDT.D using the request.security function, allowing it to retrieve up-to-date data on the selected timeframe.
Moving Average and Deviation Calculation:
An exponential moving average (EMA) is used to calculate the deviation from the moving average, enabling the identification of current volatility.
Deviation Line Display:
The deviation rate line is displayed on the chart, allowing users to visually track changes in volatility.
Signal Generation:
If the deviation exceeds the set threshold (devThreshold), a buy signal is generated (green background).
If the deviation falls below the negative threshold (-devThreshold), a sell signal is generated (red background).
Visual Signals:
Buy signals are displayed on the chart as green triangles, while sell signals are displayed as red triangles. This helps traders quickly identify potential entry and exit points.
ICT Candle Block (fadi)ICT Candle Block
When trading using ICT concepts, it is often beneficial to treat consecutive candles of the same color as a single entity. This approach helps traders identify Order Blocks, liquidity voids, and other key trading signals more effectively.
However, in situations where the market becomes choppy or moves slowly, recognizing continuous price movement can be challenging.
The ICT Candle Block indicator addresses these challenges by combining consecutive candles of the same color into a single entity. It redraws the resulting candles, making price visualization much easier and helping traders quickly identify key trading signals.
FVGs and Blocks
In the above snapshot, FVGs/Liquidity Voids, Order Blocks, and Breaker Blocks are easily identified. By analyzing the combined candles, traders can quickly determine the draw on liquidity and potential price targets using ICT concepts.
Unlike traditional higher timeframes that rigidly combine lower timeframe candles based on specific start and stop times, this indicator operates as a "mixed timeframe." It combines all buying and all selling activities into a single candle, regardless of when the transactions started and ended.
Limitations
There are currently TradingView limitations that affect the functionality of this indicator:
TradingView does not have a Candle object; therefore, this indicator relies on using boxes and lines to mimic the candles. This results in wider candles than expected, leading to misalignment with the time axis below (plotcandle is not the answer).
There is a limit on the number of objects that can be drawn on a chart. A maximum of 500 candles has been set.
A rendering issue may cause a sideways box to appear across the chart. This is a display bug in TradingView; scroll to the left until it clears.
Ichimoku Cloud +Ichimoku Cloud Plus - Advanced Technical Analysis Indicator
Ichimoku Cloud Plus is an advanced technical analysis tool that combines the traditional Ichimoku Cloud system with Pearson correlation analysis and multi-timeframe momentum tracking. This innovative approach provides traders with a comprehensive view of market trends, momentum, and potential reversal points across multiple time frames.
Core Components
Enhanced Ichimoku Cloud Analysis
The traditional Ichimoku Cloud components have been preserved and enhanced with customizable visual parameters:
The indicator includes:
- Conversion Line (Tenkan-sen) - Short-term trend identifier
- Base Line (Kijun-sen) - Medium-term trend identifier
- Leading Span A and B (Senkou Span A and B) - Future cloud projections
- Lagging Span (Chikou Span) - Historical price momentum confirmation
The cloud (Kumo) formations provide dynamic support and resistance levels, with color-coding to instantly identify bullish and bearish market conditions.
Pearson Correlation Analysis
A sophisticated Pearson correlation coefficient calculation has been integrated to provide statistical validation of trend strength and direction. This component:
- Calculates correlation between price movement and time
- Provides real-time correlation coefficients
- Identifies trend strength through correlation thresholds
- Generates signals for trend changes and potential reversals
Multi-Timeframe Momentum Tracking
The indicator incorporates a unique multi-timeframe analysis system that:
- Displays momentum calculations across five timeframes (15m, 30m, 1h, 4h, 1d)
- Provides percentage-based momentum values
- Includes volatility adjustment capabilities
- Offers volume-weighted calculations for enhanced accuracy
Advanced Features
Statistical Analysis Panel
A comprehensive statistical panel provides real-time analysis including:
- Current Pearson coefficient value
- Correlation strength classification
- Trend direction identification
- Analysis period information
Dynamic Alert System
The indicator includes sophisticated alert conditions for:
- Bearish trend initiation (positive correlation threshold breach)
- Bullish trend initiation (negative correlation threshold breach)
- Trend direction changes (zero-line crossovers)
Visual Optimization
Advanced visualization features include:
- Customizable color schemes for all components
- Adjustable label sizes and positions
- Transparency controls for better chart visibility
- Warning indicators for potential trend weakening
Technical Implementation
The indicator combines multiple calculation methods:
- Donchian Channel calculations for Ichimoku components
- Pearson correlation coefficient computation with customizable periods
- EMA smoothing for momentum calculations
- Volume-weighted averaging capabilities
- Volatility adjustment mechanisms
Trading Applications
This indicator is particularly effective for:
1. Trend Direction Confirmation
- Multiple timeframe analysis provides comprehensive trend validation
- Pearson correlation adds statistical confidence to trend identification
- Ichimoku cloud formations confirm support and resistance levels
2. Entry and Exit Point Identification
- Cloud breakouts combined with correlation strength indicate potential entry points
- Multi-timeframe momentum alignment helps identify high-probability trades
- Warning indicators assist in timing market exits
3. Risk Management
- Dynamic support and resistance levels from the cloud
- Statistical trend strength measurement
- Multi-timeframe confirmation reduces false signals
Performance Considerations
The indicator uses efficient calculations to maintain good performance while providing comprehensive analysis. The smoothing parameters and analysis periods can be adjusted to balance between responsiveness and reliability.
Future Applications and Research
This combination of indicators opens possibilities for:
- Machine learning integration for pattern recognition
- Additional statistical measures for trend validation
- Enhanced alert systems based on multiple condition combinations
- Further optimization of calculation methods
The innovative combination of traditional Ichimoku analysis with modern statistical methods and multi-timeframe momentum tracking provides traders with a powerful tool for market analysis and decision-making.
VOSC QQE MOD HULL SUITE MONSTER🔥 Yo, traders! This script is absolute FIRE! 🔥
You ever dreamed of having the ultimate cheat code for the markets? Well, BOOM! Here it is, baby. This ain’t your grandma’s indicator – this is a full-blown market assassin, armed with every tool you’ll ever need to wreck the charts and walk away with that sweet, sweet profit.
💥 What’s in the mix? 💥
This bad boy combines high-octane leverage (100x, baby!), pinpoint volume oscillator analysis, trend-crushing Hull Suite MA, and the legendary QQE Mod to give you trades so crispy, you’ll need sunscreen just looking at your PnL.
But wait, it gets better. This ain’t no random scattershot system. Oh no. It’s a sniper in the trading jungle. It’s like having a Wall Street wolf whispering in your ear, telling you when to go long, short, or just sit back and watch the markets bow to your genius. Stop losses? Covered. Take profits? Locked and loaded with a killer 1:1.5 risk-reward ratio. This script don’t just trade – it DOMINATES.
🔥 Time-Tested Brilliance 🔥
Got a specific timeframe in mind? Wanna flex on your past trades? This script lets you dial in your own custom backtest period – because why not? You’re the boss here. Set the dates, sit back, and watch this bad boy tear through historical data like it owes you money. (Spoiler: it probably does.)
🚀 Why is this the GOAT? 🚀
100x leverage settings: Skyrocket your trades to the moon or beyond.
Precision timing: Only trades within YOUR custom timeframe – because who needs unnecessary noise?
Automated risk management: Stops and targets calculated so fast, you’ll think this thing is psychic.
Plug-and-play simplicity: Load it, tweak it, crush it. No PhD required, fam.
📢 WARNING:
This script is so powerful it might make you question why you ever traded manually. Use responsibly, or you might end up shouting, "I’m the next trading god!" to your neighbors at 2 AM.
So, what’re you waiting for? Load this beast up, hit the start button, and let the markets know you mean business. This is your one-way ticket to trading glory, and the markets won’t even see you coming. LET’S GET IT. 💸
utilsLibrary "utils"
Few essentials captured together (subset of arrayutils)
timer(timeStart, timeEnd)
finds difference between two timestamps
Parameters:
timeStart (int) : start timestamp
timeEnd (int)
Returns:
method check_overflow(pivots, barArray, dir)
finds difference between two timestamps
Namespace types: array
Parameters:
pivots (array) : pivots array
barArray (array) : pivot bar array
dir (int) : direction for which overflow need to be checked
Returns: bool overflow
method get_trend_series(pivots, length, highLow, trend)
finds series of pivots in particular trend
Namespace types: array
Parameters:
pivots (array) : pivots array
length (int) : length for which trend series need to be checked
highLow (int) : filter pivot high or low
trend (int) : Uptrend or Downtrend
Returns: int trendIndexes
method get_trend_series(pivots, firstIndex, lastIndex)
finds series of pivots in particular trend
Namespace types: array
Parameters:
pivots (array) : pivots array
firstIndex (int) : First index of the series
lastIndex (int) : Last index of the series
Returns: int trendIndexes
getConsolidatedLabel(include, labels, separator)
Consolidates labels into single string by concatenating it with given separator
Parameters:
include (array) : array of conditions to include label or not
labels (array) : string array of labels
separator (string) : Separator for concatenating labels
Returns: string labelText
method getColors(theme)
gets array of colors based on theme
Namespace types: series Theme
Parameters:
theme (series Theme) : dark or light theme
Returns: color themeColors
RSI & ATR Buy/Sell Strategy SatzThis RSI & ATR-Based Buy/Sell Strategy is a technical analysis tool designed to provide buy and sell signals on a chart using the Relative Strength Index (RSI) and Average True Range (ATR) indicators. The strategy uses a combination of momentum (RSI) and volatility (ATR) to dynamically adjust entry points, stop losses, and target prices based on market conditions. It is implemented as a strategy in TradingView and offers a visual representation of key trading levels directly on the chart.
McCrayTrendTraders often rely on price breaking above or below the 50-day moving average (50D-MA) as a buy/sell signal. However, this approach frequently results in false breakouts, especially during low-volatility periods when price compression precedes major moves. To address this issue, we use an 8-day exponential moving average (8D-EMA) to represent price and focus on the crossovers between the 8D-EMA and the 48D-EMA as entry/exit signals. This method reduces noise in low-volatility conditions, enables earlier trend entries, and helps traders stay in trends longer.
The indicator incorporates a 111-day EMA (111D-EMA) to define market bias:
• Above the 111D-EMA: Bias is long, favoring buying and selling into cash.
• Below the 111D-EMA: Bias is short, favoring selling and buying into cash.
An exception to this rule occurs when a bullish cross happens within 40% of the 200-week moving average (200W-MA), as these conditions historically signal optimal times to acquire BTC.
Signals:
Buy signals:
• A bullish cross while price is above the 111D-EMA.
• A bullish cross near the 200W-MA threshold (optional setting).
Sell signals:
• A bearish cross while price is below the 111D-EMA.
Exit signals:
• Both EMAs turn red (for long trades) or green (for short trades).
• The shading between the 111D-EMA and 200W-MA turns red (for longs) or green (for shorts), if enabled.
Reversal opportunities:
• A buy or sell label during an exit signal may indicate a reversal point, allowing traders to take profit and reopen positions in the opposite direction.
The methodology behind this indicator has generated 132% alpha since October 6, 2015. Special thanks to Anurag Parashar for refining the stylistic elements of the indicator.
SQZ, RSI, RVI, HULL, BB,TGI (Long Strategy)Explanation of the Code:
Indicator Inputs:
You can adjust the length of the Hull Suite, Bollinger Bands, RSI, and other parameters such as stop-loss and take-profit percentages directly in the settings.
Hull Suite Calculation:
The Hull moving average (HMA) is calculated with a specified length, which you can adjust to fit your strategy.
Bollinger Bands Calculation:
The bands are set based on the specified length and standard deviation multiplier.
RSI Calculation:
The strategy uses a Relative Strength Index (RSI) to monitor overbought conditions (RSI ≥ 70).
Trend Strength Index (TGI):
Measures the strength of the trend using the standard deviation of the price.
Squeeze Momentum Calculation:
The squeeze momentum condition checks if the market is in a squeezing state using a linear regression calculation.
Relative Volume Calculation:
This condition checks if the relative volume is below a certain threshold (85).
Entry Condition:
The strategy enters a long position if all the conditions are met:
Hull Suite is positive
Price closes above the upper Bollinger Band
RSI is above 70
Trend strength index (TGI) is above 0.4
Squeeze momentum is positive
Relative volume is below the threshold (85)
Exit Conditions:
Stop Loss: The position will be exited if the price falls 30% below the entry price.
Take Profit: The position will be exited if the price rises 60% above the entry price.
Buy vs Sell VolumeHow It Works:
BuyVol: Estimates buying volume by calculating the proportion of volume attributed to the upward price movement within each bar.
SellVol: Estimates selling volume by calculating the proportion of volume attributed to the downward price movement within each bar.
Customization:
length: You can adjust the length input parameter to change the period over which the average is calculated.
Visualization:
The buy trendline is plotted in Green and represents the average net buying vs. selling volume over the specified period.
The sell trendline is plotted in Red and represents the average net selling vs. buying volume over the specified period.
Note: This script provides an approximation and should be used in conjunction with other analysis tools to make informed trading decisions.
SATHEESHThis trading strategy combines two popular technical indicators—Relative Strength Index (RSI) and Average True Range (ATR)—to generate actionable buy and sell signals while dynamically calculating entry points, stop losses, and targets based on market volatility. This strategy is designed to be used on a 5-minute chart, but can be adapted to different timeframes according to the trader’s preference.
