Choose Symbol, Mode with Hull,Stochatic Mom,EMA,MACD,RSI,TableThis Pine Script code is a comprehensive indicator for the TradingView platform, offering a variety of technical analysis tools. Below is an English introduction to its features and purposes:
Introduction:
This indicator is designed for traders on TradingView and provides a multi-functional analysis toolset. It includes different charting modes (Heikin-Ashi, Linear, and Normal), a Hull Moving Average (Hull), Stochastic Momentum, RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), EMA (Exponential Moving Average), Bollinger Bands, and a summary table displaying key metrics.
Key Features:
Charting Modes:
Users can choose between "Heikin-Ashi," "Linear," or "Normal" modes to visualize price data in different ways.
Hull Moving Average:
The script incorporates the Hull Moving Average for trend analysis, highlighting potential buy and sell signals.
Stochastic Momentum:
Stochastic Momentum, with customizable parameters (K, D, and Smooth), is included to identify overbought and oversold conditions.
RSI (Relative Strength Index):
RSI is calculated and displayed, aiding in identifying potential trend reversals or exhaustion points.
MACD (Moving Average Convergence Divergence):
The MACD indicator is included, along with a histogram, to highlight changes in momentum and potential crossovers.
RSI Momentum:
RSI Momentum is calculated, providing additional insights into momentum changes.
Exponential Moving Averages (EMA):
The script calculates and displays three EMAs (Exponential Moving Averages) with customizable periods.
Bollinger Bands:
Bollinger Bands are incorporated, offering insights into volatility and potential price reversals.
Summary Table:
A table is displayed on the chart summarizing key metrics, including Stochastic MoM, RSI, MACD, RSI EMA, Hull percentage change, and EMA values.
Customization:
Users have the option to customize various parameters, including chart modes, lengths of moving averages, Stochastic parameters, and more.
Usage:
The indicator aims to provide a comprehensive view of price action and potential trend changes. Traders can use it for technical analysis and decision-making.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Cerca negli script per "Exponential"
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
[Spinn] Average True RangeThe "Average True Range" indicator is a popular tool that measures price volatility. In this modified indicator, I present two methods of calculating ATR: the outdated classical one based on RMA (EMA, SMA, WMA), and the modernized one using the Super Smoother filter.
Why has exponential smoothing become outdated?
Exponential smoothing (EMA) has drawbacks, especially when it comes to identifying cyclical components in the data (and RMA is a variant of EMA). EMA creates phase shifts and distortions, making it less predictable and accurate in tracking real price movements. Modern filters, such as Super Smoother, offer a higher degree of adaptability and precision while ensuring significantly less lag, better smoothness, and superior cycle detection.
Why use more contemporary filters like Super Smoother?
The Super Smoother filter combines exponential smoothing and trigonometric functions for more accurate and smooth tracking of price movements. This filter enhances cycle tracking and reduces the lag often found when using EMA. As a result, signals based on Super Smoother are often more precise and representative of real price movements.
Drawbacks of other smoothing filters commonly used with ATR:
SMA. The lag is (N-1)/2, where N = period. This is terrible.
WMA. According to John F. Ehlers, "It appears that the WMA was invented by a trader who did not have a firm grasp of filter theory in hopes of reducing lag". It has been proven that WMA has worse suppression than the equivalent SMA, and WMA has more delay in the passband than the equivalent EMA. In short, WMA has drawbacks but no advantages compared to other popular moving averages.
It is also a good idea to use the median to average the results.
Test, experiment, use!
Yearly and 12-Week Percentage Difference with EMAThe indicator "Yearly and 12-Week Percentage Difference with EMA" is designed to display the annual and 12-week difference in the percentage variability of asset prices, as well as their exponential moving averages (EMA) on the TradingView chart.
EMA Period (EMA Period): This is a configurable parameter that allows you to select a period for calculating the EMA.
Yearly % Difference (Annual percentage difference): This indicator shows the percentage difference between the current price and the asset price a year ago on weekly bars. The graph is displayed in blue.
12-Week % Difference (12 weeks difference as a percentage): This indicator shows the percentage difference between the current price and the asset price 12 weeks ago on weekly bars. The graph is displayed in green.
Zero Line (Zero Line): This black line on the chart shows the zero level.
EMA of Yearly % Difference (EMA of annual percentage difference): This line represents the exponential moving average (EMA) of the annual percentage difference. The graph is displayed in red.
EMA of 12-Week % Difference (EMA of the difference over 12 weeks as a percentage): This line represents the exponential moving average (EMA) of the difference over 12 weeks as a percentage. The graph is displayed in orange.
Use this indicator to analyze the percentage variability of asset prices on an annual and 12-week basis, as well as to track their EMA, which can help in making trading decisions.
Русская версия \\\\\
Индикатор "Разница в процентах за год и за 12 недель с EMA" предназначен для отображения цены от год к году, и за 12 недель процентной изменчивости цен актива, а также их экспоненциальных скользящих средних (EMA) на графике TradingView.
- EMA Period (Период EMA): Это настраиваемый параметр, который позволяет выбрать период для расчета EMA.
- Yearly % Difference (Годовая разница в процентах): Этот индикатор показывает процентную разницу между текущей ценой и ценой актива год назад на недельных барах. График отображается синим цветом.
- 12-Week % Difference (Разница за 12 недель в процентах): Этот индикатор показывает процентную разницу между текущей ценой и ценой актива 12 недель назад на недельных барах. График отображается зеленым цветом.
- Zero Line (Линия нуля): Эта черная линия на графике показывает нулевой уровень.
- EMA of Yearly % Difference (EMA годовой разницы в процентах): Эта линия представляет собой экспоненциальное скользящее среднее (EMA) годовой разницы в процентах. График отображается красным цветом.
- EMA of 12-Week % Difference (EMA разницы за 12 недель в процентах): Эта линия представляет собой экспоненциальное скользящее среднее (EMA) разницы за 12 недель в процентах. График отображается оранжевым цветом.
Используйте этот индикатор для анализа процентной изменчивости цен актива на годовой и 12-недельной основе, а также для отслеживания их EMA, что может помочь в принятии торговых решений.
wosabi Investment assistant and Swing trading CRYPTOThis indicator works to calculate the exponential moving average (EMA) of three symbols. The first is the symbol shown on the chart in front of you, the second is for Bitcoin (it can be changed), and the third is the dollar strength index (DXY), which can be changed.
- The indicator calculates the exponential average of more than one symbol that you choose from the settings
When one of the lines appears in green, this means that the exponential average (EMA) is positive. Each line represents a different value for the averages that can be changed from the default settings to any other appropriate value.
Every five lines represent the averages of the symbol, and the three symbols are separated by a dashed white line to differentiate between the indicators of the three symbols.
Note: The colors have been changed inversely for the third symbol (dxy). When the averages are positive, the color will be red, and if they are negative, the color will be green, as the current settings are suitable for encrypted digital currency symbols that interact inversely with the Dollar Strength Index, and the colors can be changed from the indicator’s settings.
Integrating the values of the three symbols into the Relative Strength Index, which can be changed according to the leading symbols that influence positively or negatively, and this varies from one market to another to give a clearer indication when the negative symbol rises or falls and affects the rest of the symbols.
The current settings are suitable for the digital currency market, and the symbols must be changed for the rest of the markets
Note: The second symbol is the positive influence and the third symbol is the negative influence
Weighted Oscillator Convergence DivergenceThe Weighted Oscillator Convergence Divergence (WOCD) aims to help traders identify potential trend reversals or momentum shifts in financial markets by calculating and visualizing the difference between a smoothed oscillator (WMA) value and its exponential moving average (EMA) and simple moving average (SMA) counterparts. This indicator is particularly useful for traders who want an alternative perspective on price momentum and divergence.
Key Features:
Inputs:
Length: The user can specify the number of bars to consider for calculations (default is 9).
Smoothing 1: Defines the smoothing factor for the first smoothed value (default is 5).
Smoothing 2: Specifies the smoothing factor for the second smoothed value (default is 7).
Ma Type: There are three types of moving averages you can choose (Wilder, non-lag, Weighted is by default).
Color Settings: Users can customize the indicator's colors for various elements, such as length, smoothing values, and different sections of the histogram.
Calculation:
WOCD calculates the raw oscillator value by subtracting the close price from a 3-period High, Low, Close (HLC3) moving average.
It then applies smoothing to this raw oscillator value using two different methods: exponential moving average (EMA) and simple moving average (SMA) with user-defined smoothing periods.
Histogram Plot:
The indicator plots a histogram based on the difference between the smoothed oscillator and the first smoothed value.
When the histogram is above zero and rising, it is colored according to the "Above Grow" color setting. When it's above zero and falling, it uses the "Fall" color for visualization.
Similarly, when the histogram is below zero and rising, it is colored according to the "Below Grow" color setting, and when it's below zero and falling, it uses the "Fall" color.
Oscillator and Smoothed Values:
The indicator also plots the smoothed oscillator, smoothed value 1 (EMA-based), and smoothed value 2 (SMA-based) on the chart.
Zero Line:
A horizontal line at zero is drawn on the chart for reference.
How to Use the WOCD Indicator:
Trend Identification: Observe the histogram's direction and color. A rising histogram above zero may indicate bullish momentum, while a falling histogram below zero could signal bearish momentum.
Divergence: Look for divergences between price action and the histogram. When the histogram and price move in opposite directions, it can be a potential reversal signal.
Crossovers: Pay attention to crossovers between the smoothed oscillator and its smoothed counterparts (EMA and SMA). These crossovers can indicate changes in trend strength or direction.
Zero Line: The zero line can act as a reference point. Positive histogram values suggest bullish sentiment, while negative values indicate bearish sentiment.
Comparison to MACD Indicator:
The WOCD indicator shares some similarities with the Moving Average Convergence Divergence (MACD) indicator but also has distinct differences:
Similarities:
Both WOCD and MACD are momentum oscillators designed to identify potential trend reversals and divergences.
They use moving averages (EMA in the case of MACD) to smooth the raw oscillator values.
Both indicators provide histogram representations of the difference between the oscillator and its smoothed counterpart.
Differences:
WOCD uses a 3-period High, Low, Close (HLC3) moving average to calculate the raw oscillator value, whereas MACD uses the difference between two exponential moving averages (usually 12-period and 26-period EMAs).
The smoothing in WOCD employs both EMA and SMA, while MACD exclusively uses EMA.
WOCD allows users to customize colors for various elements, enhancing visual clarity.
Williams %R with EMA'sThe provided Pine Script code presents a comprehensive technical trading strategy on the TradingView platform, incorporating the Williams %R indicator, exponential moving averages (EMAs), and upper bands for enhanced decision-making. This strategy aims to help traders identify potential buy and sell signals based on various technical indicators, thereby facilitating more informed trading decisions.
The key components of this strategy are as follows:
**Williams %R Indicator:** The Williams %R, also known as the "Willy," is a momentum oscillator that measures overbought and oversold conditions. In this code, the Williams %R is calculated with a user-defined period (default 21) and smoothed using an exponential moving average (EMA).
**Exponential Moving Averages (EMAs):** Two EMAs are computed on the Williams %R values. The "Fast" EMA (default 8) responds quickly to price changes, while the "Slow" EMA (default 21) provides a smoother trend-following signal. Crossovers and divergences between these EMAs can indicate potential buy or sell opportunities.
**Candle Color Detection:** The code also tracks the color of candlesticks, distinguishing between green (bullish) and red (bearish) candles. This information is used in conjunction with other indicators to identify specific trading conditions.
**Additional Upper Bands:** The script introduces upper bands at various levels (-5, -10, -20, -25) to create zones for potential buy and sell signals. These bands are visually represented on the chart and can help traders gauge the strength of a trend.
**Alert Conditions:** The code includes several alert conditions that trigger notifications when specific events occur, such as %R crossing certain levels, candle color changes within predefined upper bands, and EMA crossovers.
**Background Highlighting:** The upper bands and the zero line are visually highlighted with different colors, making it easier for traders to identify critical price levels.
This code is valuable for traders seeking a versatile technical strategy that combines multiple indicators to improve trading decisions. By incorporating the Williams %R, EMAs, candlestick analysis, and upper bands, it offers a holistic approach to technical analysis. Traders can customize the parameters to align with their trading preferences and risk tolerance. The use of alerts ensures that traders are promptly notified of potential trade setups, allowing for timely execution and risk management. Overall, this code serves as a valuable tool for traders looking to make more informed decisions in the dynamic world of financial markets.
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Naresh CE with 13 62 crossThank you to Lauris, for sharing knowledge and logic for the EMA cross-over (13/62).
The provided Pine Script is a custom script, which is designed to display Chandelier Exit levels on the price chart and generate buy and sell labels based on specific conditions.
Here's a breakdown of the key components and logic of the Pine Script:
Exponential Moving Averages (EMAs):
ema1: The 13-period Exponential Moving Average (EMA) of the closing price.
ema2: The 62-period Exponential Moving Average (EMA) of the closing price.
EMA Plotting:
The script plots the ema1 (13 EMA) and ema2 (62 EMA) lines on the price chart using the plot() function.
Chandelier Exit Calculation:
The Chandelier Exit values are calculated using the Average True Range (ATR).
The script calculates the atr (Average True Range) using the atr() function with the given length.
longStop is calculated as the highest price of the specified length minus the ATR, and shortStop is calculated as the lowest price plus the ATR.
Directional Indicator (dir):
The dir variable is used to determine the direction of the Chandelier Exit based on the comparison of the current close price with the previous long and short stops.
Buy and Sell Signals:
The script generates buy signals when the Chandelier Exit direction changes from short to long (buySignal).
Similarly, sell signals are generated when the Chandelier Exit direction changes from long to short (sellSignal).
The conditions for buy and sell signals are based on the value of dir and its previous value.
Buy and Sell Labels:
Buy and sell labels are plotted on the chart using plotshape() based on the generated buy and sell signals.
The showLabels input parameter controls whether to display the buy and sell labels.
Highlighting States:
The script fills the chart area with color (green for long, red for short) based on the direction of the Chandelier Exit values.
The highlightState input parameter controls whether to apply this highlighting.
Alerts:
The script includes alert conditions based on the direction change (changeCond), buy signal (buySignal), and sell signal (sellSignal) using the alertcondition() function.
The script aims to help traders identify potential buy and sell signals based on the Chandelier Exit levels derived from the 13 EMA and 62 EMA crossovers. The Chandelier Exit values can serve as dynamic stop-loss levels for long and short positions.
MACDh with divergences & impulse system (overlayed on prices)-----------------------------------------------------------------
General Description:
This indicator ( the one on the top panel above ) consists on some lines, arrows and labels drawn over the price bars/candles indicating the detection of regular divergences between price and the classic MACD histogram (shown on the low panel). This script is special because it can be adjusted to fit several criteria when trading divergences filtering them according to the "height" and "width" of the patterns. The script also includes the "extra features" Impulse System and Keltner Channels, which you will hardly find anywhere else in similar classic MACD histogram divergence indicators.
The indicator helps to find trend reversals, and it works on any market, any instrument, any timeframe, and any market condition (except against really strong trends that do not show any other sign of reversion yet).
Please take on consideration that divergences should be taken with caution.
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Definition of classic Bullish and Bearish divergences:
* Bearish divergences occur in uptrends identifying market tops. A classical or regular bearish divergence occurs when prices reach a new high and then pull back, with an oscillator (MACD histogram in this case) dropping below its zero line. Prices stabilize and rally to a higher high, but the oscillator reaches a lower peak than it did on a previous rally.
In the chart above (weekly charts of NKE, Nike, Inc.), in area X (around August 2021), NKE rallied to a new bull market high and MACD-Histogram rallied with it, rising above its previous peak and showing that bulls were extremely strong. In area Y, MACD-H fell below its centerline and at the same time prices punched below the zone between the two moving averages. In area Z, NKE rallied to a new bull market high, but the rally of MACD-H was feeble, reflecting the bulls’ weakness. Its downtick from peak Z completed a bearish divergence, giving a strong sell signal and auguring a nasty bear market.
* Bullish divergences , in the other hand, occur towards the ends of downtrends identifying market bottoms. A classical (also called regular) bullish divergence occurs when prices and an oscillator (MACD histogram in this case) both fall to a new low, rally, with the oscillator rising above its zero line, then both fall again. This time, prices drop to a lower low, but the oscillator traces a higher bottom than during its previous decline.
In the example in the chart above (weekly charts of NKE, Nike, Inc.), you see a bearish divergence that signaled the October 2022 bear market bottom, giving a strong buy signal right near the lows. In area A, NKE (weekly charts) appeared in a free fall. The record low A of MACD-H indicated that bears were extremely strong. In area B, MACD-H rallied above its centerline. Notice the brief rally of prices at that moment. In area C, NKE slid to a new bear market low, but MACD-H traced a much more shallow low. Its uptick completed a bullish divergence, giving a strong buy signal.
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Some cool features included in this indicator:
1. This indicator also includes the “ Impulse System ”. The Impulse System is based on two indicators, a 13-day exponential moving average and the MACD-Histogram, and identifies inflection points where a trend speeds up or slows down. The moving average identifies the trend, while the MACD-Histogram measures momentum. This unique indicator combination is color coded into the price bars for easy reference.
Calculation:
Green Price Bar: (13-period EMA > previous 13-period EMA) and
(MACD-Histogram > previous period's MACD-Histogram)
Red Price Bar: (13-period EMA < previous 13-period EMA) and
(MACD-Histogram < previous period's MACD-Histogram)
Price bars are colored blue when conditions for a Red Price Bar or Green Price Bar are not met. The MACD-Histogram is based on MACD(12,26,9).
The Impulse System works more like a censorship system. Green price bars show that the bulls are in control of both trend and momentum as both the 13-day EMA and MACD-Histogram are rising (you don't have permission to sell). A red price bar indicates that the bears have taken control because the 13-day EMA and MACD Histogram are falling (you don't have permission to buy). A blue price bar indicates mixed technical signals, with neither buying nor selling pressure predominating (either both buying or selling are permitted).
2. Another "extra feature" included here is the " Keltner Channels ". Keltner Channels are volatility-based envelopes set above and below an exponential moving average.
3. It were also included a couple of EMAs.
Everything can be removed from the chart any time.
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Options/adjustments for this indicator:
*Horizontal Distance (width) between two tops/bottoms criteria.
Refers to the horizontal distance between the MACH histogram peaks involved in the divergence
*Height of tops/bottoms criteria (for Histogram).
Refers to the difference/relation/vertical distance between the MACH HISTOGRAM peaks involved in the divergence: 1st Histogram Peak is X times the 2nd.
*Height/Vertical deviation of tops/bottoms criteria (for Price).
Deviation refers to the difference/relation/vertical distance between the PRICE peaks involved in the divergence.
*Plot Regular Bullish Divergences?.
*Plot Regular Bearish Divergences?.
*Delete Previous Cancelled Divergences?.
*Shows a pair of EMAs.
*Shows Keltner Channels (using ATR)
Keltner Channels are volatility-based envelopes set above and below an exponential moving average.
*This indicator also has the option to show the Impulse System over the price bars/candles.
Fair Value Gap ChartThe Fair Value Gap chart is a new charting method that displays fair value gap imbalances as Japanese candlesticks, allowing traders to quickly see the evolution of historical market imbalances.
The script is additionally able to compute an exponential moving average using the imbalances as input.
🔶 USAGE
The Fair Value Gap chart allows us to quickly display historical fair value gap imbalances. This also allows for filtering out potential noisy variations, showing more compact trends.
Most like other charting methods, we can draw trendlines/patterns from the displayed results, this can be helpful to potentially predict future imbalances locations.
Users can display an exponential moving average computed from the detected fvg's imbalances. Imbalances above the ema can be indicative of an uptrend, while imbalances under the ema are indicative of a downtrend.
Note that due to pinescript limitations a maximum of 500 lines can be displayed, as such displaying the EMA prevent candle wicks from being displayed.
🔶 DETAILS
🔹 Candle Structure
The Fair Value Gap Chart is constructed by keeping a record of all detected fair value gaps on the chart. Each fvg is displayed as a candlestick, with the imbalance range representing the body of the candle, and the range of the imbalance interval being used for the wicks.
🔹 EMA Source Input
The exponential moving average uses the imbalance range to get its input source, the extremity of the range used depends on whether the fvg is bullish or bearish.
When the fvg is bullish, the maximum of the imbalance range is used as ema input, else the minimum of the fvg imbalance is used.
EMA Envelope - Signal with Stoploss and Takeprofit LevelsDescription:
This Pine Script indicator implements the EMA Envelope strategy, which utilizes Exponential Moving Averages (EMA) to create an envelope around the price chart. The strategy generates buy and sell signals based on the crossing of the price above and below the upper and lower EMA envelopes, respectively. It also incorporates additional features such as stop-loss and take-profit levels for risk management.
Indicator Settings:
EMA Length: Specifies the period for the short-term Exponential Moving Average.
Long Term EMA Length: Defines the period for the long-term Exponential Moving Average used for signal filtering.
Take Profit Ratio: Determines the ratio for calculating the take-profit levels based on the stop-loss.
Filter Signal on Long Term EMA: Enables or disables the filtering of buy/sell signals using the long-term EMA.
Show only recent signal: When enabled, shows only the most recent buy/sell signals.
Buy and Sell Signals:
The indicator generates buy signals when the price crosses above the upper EMA envelope and the previous low was below the upper EMA envelope. Additionally, you can choose to filter buy signals based on whether the closing price is above the long-term EMA.
Conversely, sell signals are generated when the price crosses below the lower EMA envelope, and the previous high was above the lower EMA envelope. Similar to buy signals, sell signals can also be filtered using the long-term EMA.
Note: Signal works well on Higher Timeframes like Daily/8hrs/4hrs/1hr.
Stop-Loss and Take-Profit Levels:
For buy signals, the stop-loss is set at the lower EMA level, while the take-profit level is calculated by adding a specified ratio of the difference between the low and the stop-loss level to the low price.
For sell signals, the stop-loss is set at the upper EMA level, and the take-profit level is calculated by subtracting a specified ratio of the difference between the stop-loss level and the high price from the high price.
Disclaimer:
This indicator is provided for educational and informational purposes only. Trading involves significant risk, and past performance does not guarantee future results. Users are solely responsible for their trading decisions and should conduct their own research and risk management. The author shall not be held liable for any losses or damages arising from the use of this indicator.
Note: Always test the indicator thoroughly on historical data and consider paper trading before applying it to live trading environments.
MOST + Moving Average ScreenerScreener version of Anıl Özekşi's Moving Stop Loss (MOST) Indicator:
USERS MAY SCREEN MOST WITH 11 DIFFERENT TYPES OF MOVING AVERAGES + THEY CAN ALSO SCREEN SIGNALS WITH THAT 11 MOVING AVERAGES INSTEAD OF USING MOST LINE.
Adjustable Moving Average Types:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
About Screener Panel:
Users can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
-In this screener version of MOST, users can define the number of demanded tickers (symbols) from 1 to 20 by checking the relevant boxes on the settings tab.
-All selected tickers can be screened in different timeframes.
-Also, different timeframes of the same Ticker can be screened.
IMPORTANT NOTICE:
Screener shows the results in 3 different logic:
1st LOGIC (Default Settings):
BUY AND SELL SIGNALS of MOST and MOVING AVERAGE LINE
Most Buy Signal: Moving Average Crosses ABOVE the MOST LINE
Most Sel Signal: Moving Average Crosses BELOW the MOST LINE
Tickers seen in green are the ones that are in an uptrend, according to MOST.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after MOST's last BUY or SELL signal.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
2nd LOGIC (Moving Average & Price Flips Screener Mode):
This mode can only be activated by checking the 'Activate Moving Average Screening Mode' box on the settings menu.
MOST line will be disappeared after checking the box.
Buy Signal: When the Selected Price crosses ABOVE the selected Moving Average.
Sell Signal: When the Selected Price crosses BELOW the selected Moving Average.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average & Price Flips.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average & Price Flips.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
3rd LOGIC (Moving Average Color Change Screener Mode):
Both 'Activate Moving Average Screening Mode' and 'Activate Moving Average Color Change Screening Mode' boxes must be checked in the settings tab.
Moving Average Line will turn out into two colors.
Green color means the moving average value is greater than the previous bar's value.
Red color means the moving average value is smaller than the previous bar's value.
Buy Signal: After the Selected Moving Average turns GREEN from red.
Sell Signal: After the Selected Moving Average turns RED from green.
-Screener shows the information about the color changes of the selected Moving Average with default settings.
If this option is preferred, users are advised to enlarge the length to have better signals.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average Color.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average Color Change.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
Webby's RS LineThe Relative Strength (RS) line is something many investors are familiar with. It is used to measure a stocks performance versus the S&P 500 and is typically calculated by dividing the closing price of the stock by the closing price of the S&P. This means if a stock moves up and the S&P moves down or the stock moves up more than the S&P the RS line will increase, if the stock moves down while the S&P moves up the line will decrease.
While the standard RS line is a powerful tool, Mike Webster recently discussed how he has made changes to the standard RS line and also uses a 21 exponential moving average of the RS line to help guide his decision making. This script puts those new twists on the standard RS line, by first calculating the RS line using the low of both the security and the S&P rather than the closing prices. Next it measures the 21-day exponential moving average of the RS line and plots the distance between the two as a histogram.
A strong trending stock that is out performing the market will see an extended period of a positive blue histogram signifying the RS line is above the 21-ema.
While on the other hand a stock in a downtrend that is underperforming will see a negative red histogram a red histogram signifying the RS line is below the 21-ema.
On top of all of that, the indicator also keeps 3 & 13 exponential moving average of the distance between the RS line and the 21 ema to help identify shorter term relative strength and capture more immediate shifts in momentum. Both of those are plotted on the histogram as well and will change color as they rise and fall making it easy to spot the direction.
Indicator options include:
Choose symbol to measure performance against
Change histogram colors
Choose ema line width
* Note this indicator does not plot the actual RS line, it is the histogram representing the distance between the RS line calculated using the lows and the 21 ema, as well as the two ema's of the relationship.
Webby's RSI 2.0Webby's RSI (Really Simple Indicator) 2.0 or version 5.150 as Mike himself calls it, builds upon the original Webby RSI by changing the way we measure extension from the 21-day exponential moving average.
Instead using the percentage of the low versus the 21-day exponential moving average, version 2 uses a multiple of the securities 50 day ATR (average true range) to determine the extension.
Version 2.0 also comes with some new additions, such as measuring the high vs 21-day exponential moving average when a security is below it, as well as an ATR extension from the 10-day simple moving average that Mike looks to as a guide to take partials.
VIX, ATR, and Volatility Indicatorhere what the indictor do !
The "VIX, ATR, and Volatility Indicator" combines the Volatility Index (VIX), Average True Range (ATR), and moving averages to provide insights into market volatility.
VIX (Volatility Index):
The VIX measures the expected volatility in the market over the next 30 days. A higher VIX value indicates increased market volatility, while a lower value suggests lower volatility.
ATR (Average True Range):
The ATR is a technical indicator that measures the average range between high and low prices over a specified period. It provides a sense of the market's volatility by considering price movements. Higher ATR values indicate greater volatility, while lower values indicate lower volatility.
Moving Averages:
The indicator calculates both an Exponential Moving Average (EMA) and Simple Moving Average (SMA) with a specific period (e.g., 50).
Moving averages smooth out price data to identify trends and potential areas of support or resistance.
Volatility Detection:
By comparing the current closing price to the EMA and SMA, the indicator determines if there is high volatility.
If the current closing price is higher than either the EMA or SMA, it indicates potential high volatility.
Visualization:
The VIX and ATR are typically plotted on the chart, providing a visual representation of market volatility and price range.
Additionally, markers or labels may be used to highlight periods of high volatility when the current price exceeds the moving averages.
what are the VIX and ATR
Volatility Index (VIX):
Monitor the VIX value from financial platforms or market data providers. A higher VIX value indicates increased market volatility, suggesting potential trading opportunities. Conversely, a lower VIX value indicates lower volatility, which may influence your trading strategy.
Average True Range (ATR):
Calculate the ATR manually or use charting platforms that provide ATR as an indicator.
Plot the ATR on your trading chart to visualize the range of price movements.
Determine suitable entry and exit points based on ATR values. For example, higher ATR values may indicate larger potential price swings, while lower ATR values may suggest a more stable market.
how it work
Fetching VIX Data:
The request.security function is used to fetch the daily VIX data from the "CBOE:VIX" symbol. It retrieves the closing price of the VIX for each day.
Calculating ATR:
The ta.atr function calculates the Average True Range (ATR) with a period of 14. ATR measures the average range between the high and low prices over the specified period, providing an indication of market volatility.
Calculating Moving Averages:
Two types of moving averages are calculated: Exponential Moving Average (EMA) and Simple Moving Average (SMA). Both moving averages are calculated using a period of 50, but you can adjust the period as needed.
The ta.ema function calculates the Exponential Moving Average, which places greater weight on recent prices.
The ta.sma function calculates the Simple Moving Average, which gives equal weight to all prices in the period.
Identifying High Volatility:
The indicator determines if there is high volatility by comparing the current closing price to both the EMA and SMA.
If the current closing price is higher than either the EMA or SMA, the isHighVolatility variable is set to true, indicating potential high volatility.
Plotting the Indicators:
The VIX and ATR are plotted using the plot function, assigning colors and line widths for visual differentiation.
The plotshape function is used to plot markers below the bars to indicate highly volatile periods. The isHighVolatility variable determines when the markers appear.
[DisDev] D-I-Y Gridbot🟩 This script is a “do-it-yourself” Grid Bot Simulator, used for visualizing support and resistance levels. Prices are divided into grids, or trade zones, that will trigger signals each time a new zone is entered. During ranging markets, each transaction is followed by a “take profit.” As the market starts to trend, transactions are stacked (compare to DCA ), until the market consolidates. No signals are triggered above the upper gridline or below the lower gridline. Unlike the previous version, all grids may be adjusted in real-time by dragging the gridlines up and down to the desired support and resistance levels.
When adding the indicator to a new chart, you must choose six grid levels by clicking on the desired support or resistance price. You can change all of these levels at any time directly on the chart.
⚡ OVERVIEW ⚡
The D-I-Y Gridbot is an interactive tool designed for visualizing support and resistance levels. As a continuation of the original Gridbot Simulator , which has received significant recognition on TradingView, earning over 4000 boosts and an Editor's Pick status. This tool serves not only as an evolved version of its predecessor, but also as an open-source template for developing future gridbots. It aims to foster discussions and facilitate innovations around grid-trading strategies.
One of the new features of this gridbot is the real-time adjustability of all gridlines. Users can move these lines up and down to set their desired support and resistance levels in response to changing market conditions. Additionally, the D-I-Y Gridbot is compatible with multiple timeframes and can be used on most TradingView charts.
Drag gridlines up or down to desired price level.
Key Features 🔑
All gridlines are adjustable in real-time, directly on the chart
Signals can be filtered by a customizable moving average or by VWAP
Customizable support and resistance levels
Potentially increases profitability in ranging markets
Benefits 💸
Customizable Support and Resistance Levels : The D-I-Y Gridbot allows users to set their preferred support and resistance levels, which can be changed at any time directly on the chart. This provides users with the ability to customize their trading parameters based on their strategy and risk tolerance.
Various Trading Strategies : The D-I-Y Gridbot supports various trading strategies, including Mean Reversion, Ranging Markets, and Dollar-cost averaging (DCA). This allows users to capitalize on price reversals, execute buy and sell orders at predetermined levels, and buy more of an asset as the price falls, respectively.
Multi-Timeframe and Versatility : The D-I-Y Gridbot is compatible with multiple timeframes and can be used on any TradingView chart.
Experimental and Educational : The D-I-Y Gridbot is considered a proof-of-concept tool that is both experimental and educational. This can provide traders with a deeper understanding of grid trading strategies and the ability to experiment with different trading parameters and strategies.
⚙️ CONFIGURATION & SETTINGS ⚙️
Inputs 🔧
Trigger : Candle location to trigger the signal. "Wick" will use either high or low, depending on the signal direction. "Close" will use the close price. “MA” will use the selected moving average or VWAP.
Confirmation : Market direction to confirm the candle trigger. "Reverse" will confirm the signal when the price crosses back over the trigger. "Breakout" will confirm when the price breaks out of the trigger.
Number of Support/Resistance zones : 1 = Only Top Grid is Support/Only Bottom Grid is Resistance. 2 = Top two grids are Resistance/Bottom two grids are Support. 3 = Top three grids are Resistance/Bottom three grids are Support
MA Type : Exponential Moving Average (EMA), Hull Moving Average (HMA), Simple Moving Average (SMA), Triple Exponential Moving Average (TEMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP)
MA Filter : Use Moving Average as a reversion filter for signals. When enabled, no buys when above MA, no sells when below. Use in conjunction with S/R zones to reduce false signals.
Allow Repeat Signals . When enabled, signals will reset when nearest gridline is triggered. When disabled, only one signal will be triggered per gridline.
Line/Fill colors
Gridlines . Adjusts gridline prices manually.
Left : Trigger = Wick. Confirm = Breakout. Buys are signaled when LOW breaks below gridline. Sells are triggered when HIGH breaks above gridline.
Right : Trigger = Close. Confirm = Breakout. Buys are signaled when the candle CLOSES below the gridline. Sells are triggered when the candle CLOSES above the gridline.
Left : Confirm=Breakout. Signals on breaking through the next gridline.
Right : Confirm=Reverse. Signals only when crossing back from the gridline.
S/R Zones=1. Upper gridline is Resistance / Lower is Support. Middle 4 are neutral.
S/R Zones = 3. Upper three gridlines are Resistance / Lower three are Support
Notes:
If gridlines are dragged out of order on a live chart, they will auto-sort into the correct order.
Price levels may be entered in settings, or adjusted in real-time directly on the chart.
When changing symbols, remember to adjust the gridlines to accommodate the new symbol.
Alerts 🔔
Users can set alerts based on their chosen parameters for triggers, confirmations, number of support/resistance zones, and smoothing type, enabling precise control over alert conditions.
💡 USAGE & STRATEGY 💡
Trading Strategies 📈
Mean Reversion: The script can be used to capitalize on price reversals back to the mean.
Ranging Markets: The script excels in ranging markets, executing buy and sell orders at predetermined levels.
Dollar-cost averaging (DCA): The script can be used to execute DCA orders, buying more of an asset as the price falls, and lowering the average cost per unit.
Timeframes and Symbols ⌚
Multi-Timeframe: The indicator is compatible with multiple timeframes.
Versatile: Can be used on any crypto trading pair on TradingView.
🤖 DETAILS & METHODOLOGY 🤖
Algorithm and Calculation 🛡️
Grids are set and adjusted when loading the indicator on the chart and may be customized anytime afterward by clicking and dragging the gridlines on the chart.
Gridlines are updated, sorted, and stored in a float array.
Signals are calculated based on candle trigger, market direction, and previous price level.
📚 ADDITIONAL RESOURCES 📚
Chart Examples 📊
S/R Zones = 3: Three Support and Three Resistance. Filter = 50-period Triple Exponential Moving Average (TEMA)
S/R Zones = 1: One Support, One Resistance, and Four Neutral Zones. Support Zones: Buys only. Resistance Zones: Sells only. Neutral Zones: Grid-dependent
When MA filter is enabled, Buys are only triggered below Moving Average, and Sells are only triggered above.
Trigger = Wick. Confirmation = Breakout. Buys are signaled when Low breaks above the next grid level. Sells are signaled when High breaks below the next grid level.
🚀 CONCLUSION 🚀
The D-I-Y Gridbot is a proof-of-concept, emphasizing its experimental and educational nature. In future versions, we will aim to incorporate concepts such as auto-adjusting grids and angled grids for trending markets. The script is designed to evolve through user feedback and suggestions, shaping its future iterations.
Credit: This is a continuation of the Gridbot series by xxattaxx-DisDev . Explicit permission was granted by user xxattaxx-disdev to re-use all Gridbot code and all materials without restrictions.
⚠️ DISCLAIMER ⚠️
This indicator is a proof-of-concept and is considered experimental and educational. When gridlines are drawn in hindsight, signals appear to be predictive and valid. Future results may always vary when the trend direction changes. Comments and suggestions are encouraged.
This indicator is provided as a tool for traders and should not be used as the sole basis for making trading decisions. Always conduct your own research and consider your risk tolerance before entering any trades.
Pullback WarningThe Pullback Warning indicator is a simple indicator that highlights the potential for a market pullback, by measuring distances between certain key moving averages.
John Pocorobba recently shared in his general market updates, research showing that when the distance between the closing price and the 9 day exponential moving average is greater than the distance between the 9 day exponential moving average and the 20 day exponential moving average a pullback is likely.
While this condition occurs frequently, I added sensitivity options to try and filter out the noise. The sensitivity is based on the closing price’s extension from the 50 day simple moving average. Depending on your level of sensitivity, only signals that occur when price is extended either 5, 6, or 7 percent away from the 50 sma will be plotted.
Choose how to see the signal:
Highlight Background
Plot a symbol at desired location
Note this signal works best on indexes, not individual securities.
MyMovingAveragesLibraryLibrary "MyMovingAveragesLibrary"
alma(src, lkbk, alma_offset, alma_sigma)
ALMA - Arnaud Legoux Moving Average
Parameters:
src (float) : float
lkbk (int) : int
alma_offset (simple float)
alma_sigma (simple float) : float
Returns: moving average
frama(src, lkbk, FC, SC)
FRAMA - Fractal Adaptive Moving Average
Parameters:
src (float) : float
lkbk (int) : int
FC (int) : int
SC (int) : int
Returns: moving average
kama(src, lkbk, kamafastend, kamaslowend)
KAMA - Kaufman Adaptive Moving Average
Parameters:
src (float) : float
lkbk (int) : int
kamafastend (int) : int
kamaslowend (int) : int
Returns: moving average
ema(src, lkbk)
EMA - Exponential Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
dema(src, lkbk)
DEMA - Double Exponential Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
tema(src, lkbk)
TEMA - Triple Exponential Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
hma(src, lkbk)
HMA - Hull Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
jma(src, lkbk, jurik_power, jurik_phase)
JMA - Jurik Moving Average
Parameters:
src (float) : float
lkbk (int) : int
jurik_power (int)
jurik_phase (float)
Returns: moving average
laguerre(src, alpha)
Laguerre Filter
Parameters:
src (float) : float
alpha (float) : float
Returns: moving average
lsma(src, lkbk, lsma_offset)
LSMA - Least Squares Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
lsma_offset (simple int) : int
Returns: moving average
mcginley(src, lkbk)
McGinley Dynamic
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
mf(src, lkbk, mf_feedback, mf_beta, mf_z)
Modular Filter
Parameters:
src (float) : float
lkbk (int) : int
mf_feedback (bool) : float
mf_beta (float) : boolean
mf_z (float) : float
Returns: moving average
rdma(src)
RDMA - RexDog Moving Average (RDA, as he calls it)
Parameters:
src (float) : flot
Returns: moving average
sma(src, lkbk)
SMA - Simple Moving Average
Parameters:
src (float) : float
lkbk (int) : int
Returns: moving average
smma(src, lkbk)
SMMA - Smoothed Moving Average (known as RMA in TradingView)
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
t3(src, lkbk)
T3 Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
tma(src, lkbk)
TMA - Triangular Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
vama(src, lkbk, vol_lkbk)
VAMA - Volatility-Adjusted Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
vol_lkbk (int) : int
vwma(src, lkbk)
VWMA - Volume-Weighted Moving Average
Parameters:
src (float) : float
lkbk (simple int) : int
Returns: moving average
mf_zlagma(src, lkbk)
Zero-Lag Moving Average
Parameters:
src (float) : float
lkbk (int) : int
Returns: moving average
Regularized-Moving-Average Oscillator SuiteThe Regularized-MA Oscillator Suite is a versatile indicator that transforms any moving average into an oscillator. It comprises up to 13 different moving average types, including KAMA, T3, and ALMA. This indicator serves as a valuable tool for both trend following and mean reversion strategies, providing traders and investors with enhanced insights into market dynamics.
Methodology:
The Regularized MA Oscillator Suite calculates the moving average (MA) based on user-defined parameters such as length, moving average type, and custom smoothing factors. It then derives the mean and standard deviation of the MA using a normalized period. Finally, it computes the Z-Score by subtracting the mean from the MA and dividing it by the standard deviation.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is a unique moving average type that dynamically adjusts its smoothing period based on market volatility. It adapts to changing market conditions, providing a smoother response during periods of low volatility and a quicker response during periods of high volatility. This allows traders to capture trends effectively while reducing noise.
T3 (Tillson's Exponential Moving Average):
T3 is an exponential moving average that incorporates additional smoothing techniques to reduce lag and provide a more responsive indicator. It aims to maintain a balance between responsiveness and smoothness, allowing traders to identify trend reversals with greater accuracy.
ALMA (Arnaud Legoux Moving Average):
ALMA is a moving average type that utilizes a combination of linear regression and exponential moving average techniques. It offers a unique way of calculating the moving average by providing a smoother and more accurate representation of price trends. ALMA reduces lag and noise, enabling traders to identify trend changes and potential entry or exit points more effectively.
Z-Score:
The Z-Score calculation in the Regularized-MA Oscillator Suite standardizes the values of the moving average. It measures the deviation of each data point from the mean in terms of standard deviations. By normalizing the moving average through the Z-Score, the indicator enables traders to assess the relative position of price in relation to its mean and volatility. This information can be valuable for identifying overbought and oversold conditions, as well as potential trend reversals.
Utility:
The Regularized-MA Oscillator Suite with its unique moving average types and Z-Score calculation offers traders and investors powerful analytical tools. It can be used for trend following strategies by analyzing the oscillator's position relative to the midline. Traders can also employ it as a mean reversion tool by identifying peak values above user-defined deviations. These features assist in identifying potential entry and exit points, enhancing trading decisions and market analysis.
Key Features:
Variety of 13 MA types.
Potential reversal point bubbles.
Bar coloring methods - Trend (Midline cross), Extremities, Reversions, Slope
Example Charts:
Chandelier Exit ZLSMA StrategyIntroducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA
If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis.
The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend of a security and provide an exit signal when the price crosses below the CE line. The CE line is based on the Average True Range (ATR), which is a measure of volatility. This means that the CE line adjusts to the volatility of the security, making it a reliable indicator for trailing stop-losses.
The ZLEMA (Zero Lag Exponential Moving Average) is a type of exponential moving average that's designed to reduce lag and improve signal accuracy. The ZLSMA takes into account not only the current price but also past prices, using a weighted formula to calculate the moving average. This makes it a smoother indicator than traditional moving averages, and less prone to giving false signals.
When combined, the CE and ZLSMA create a powerful indicator that can help traders identify trend changes and make more informed trading decisions. The CE provides the trailing stop-loss signal, while the ZLSMA provides a smoother trend line to help identify potential entry and exit points.
In our indicator, the CE and ZLSMA are plotted together on the chart, making it easy to see both the trailing stop-loss and the trend line at the same time. The CE line is displayed as a dotted line, while the ZLSMA line is displayed as a solid line.
Using this indicator, traders can set their stop-loss levels based on the CE line, while also using the ZLSMA line to identify potential entry and exit points. The combination of these two indicators can help traders reduce their risk and improve their trading performance.
In conclusion, the Chandelier Exit with ZLSMA is a powerful trading indicator that combines two effective technical analysis tools. By using this indicator, traders can identify trend changes, set stop-loss levels, and make more informed trading decisions. Try it out for yourself and see how it can improve your trading performance.
Warning: The results in the backtest are from a repainting strategy. Don't take them seriously. You need to do a dry live test in order to test it for its useability.
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Here is a description of each input field in the provided source code:
length: An integer input used as the period for the ATR (Average True Range) calculation. Default value is 1.
mult: A float input used as a multiplier for the ATR value. Default value is 2.
showLabels: A boolean input that determines whether to display buy/sell labels on the chart. Default value is false.
isSignalLabelEnabled: A boolean input that determines whether to display signal labels on the chart. Default value is true.
useClose: A boolean input that determines whether to use the close price for extrema calculations. Default value is true.
zcolorchange: A boolean input that determines whether to enable rising/decreasing highlighting for the ZLSMA (Zero-Lag Exponential Moving Average) line. Default value is false.
zlsmaLength: An integer input used as the length for the ZLSMA calculation. Default value is 50.
offset: An integer input used as an offset for the ZLSMA calculation. Default value is 0.
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Ty for checking this out and good luck on your trading journey! Likes and comments are appreciated. 👍
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Credits to:
▪ @everget – Chandelier Exit (CE)
▪ @netweaver2022 – ZLSMA
Customizable Moving Average RibbonThis indicator is a highly customizable moving average ribbon with some unique features.
This script can utilize multiple unique sources, including a non-repainting renko closing price. Renko charts focus solely on price movement and minimize the impacts of time and the extra noise time creates. Employing the renko close helps smooth out the MA ribbon. Insignificant price movements will not cause a change in the plotted lines of the indicator unless a new threshold is breached or a "brick" is created. This is highly useful for quickly identifying consolidation areas or overall flat price movement.
There are two methods for selecting the box size when utilizing the renko source. Box size is critical for the overall function and efficacy of the plots you will visually see with this indicator. Box size is set automatically using the Average True Range "ATR" or manually using the "Traditional" setting. The simplest way to determine a manual box size is to take the ATR of the given instrument and round it to the nearest decimal place. As an example, if the ATR for the asset is 0.18, you would round that number to 0.2 and utilize this as your traditional box size.
The MA ribbon contains eleven adjustable moving average lines. Users can choose to turn off as many as they would like. Users can also adjust the length of the individual moving averages and the source for all moving averages. There are nine types of moving averages to choose from for the ribbon. The MA options are:
Exponential Moving Average = 'EMA'
Double Exponential Moving Average= 'DEMA'
Triple Exponential Moving Average = 'TEMA'
Simple Moving Average = 'SMA'
Relative Moving Average = 'RMA'
Volume Weighted Moving Average = 'VWMA'
Weighted Moving Average = 'WMA'
Smoothed Simple Moving Average = 'SSMA'
Hull Moving Average = 'HULL'
We believe that the ribbons features, including the line color change, help quickly identify trends and give users optimum customization. Users can select from five different color schemes including:
Green/Red
Purple/White
White/Blue
Silver / Orange
Teal/ Orange
MathComplexNumbersThis is a Pine Script library for handling complex numbers without arrays. It contains several utility functions for performing various operations on complex numbers, including converting complex numbers into tuples, getting the real and imaginary parts of a complex number, adding and subtracting complex numbers, computing the conjugate, multiplying and dividing complex numbers, computing the reciprocal, the inverse, the negative, the exponential, the ceil and the radius of a complex number.
The library exports a complex data type which consists of two float values: re, the real part of the complex number, and im, the imaginary part of the complex number.
The complex_tuple function and ct function convert a complex number into a tuple, and the get_real, get_imaginary, re, and im functions return the real and imaginary parts of a complex number.
The add and subtract functions add and subtract two complex numbers, respectively, by performing the appropriate arithmetic operations on their real and imaginary parts. The conjugate function returns the complex conjugate of a given complex number, which is the same as the original number but with the sign of its imaginary part reversed. The multiply and divide functions multiply and divide two complex numbers, respectively, according to the rules of complex arithmetic. The reciprocal function computes the reciprocal or inverse of a given complex number, while the inverse function computes the inverse of a given complex number. The negative function returns the negative of a given complex number, and the exponential function computes the exponential of a given complex number. The ceil function rounds a given complex number up to a specified number of digits. The radius function computes the radius (magnitude) of a given complex number, which is defined as its distance from the origin (0,0) of the complex plane.
