Advanced Multi-Timeframe Trend DetectorThis script is designed to provide a multi-timeframe trend analysis, combining moving averages (MAs) and the Relative Strength Index (RSI) to determine market direction across different timeframes. Here's a breakdown of what the script does:
Key Components of the Script
Inputs:
Moving Averages: Short and long moving average lengths (9 and 21 periods).
ATR and RSI Lengths: ATR (Average True Range) and RSI (Relative Strength Index) lengths set to 14 periods.
RSI Levels: Overbought and oversold levels for the RSI set to 70 and 30, respectively.
Trend Determination:
A function called trendDirection evaluates the trend based on the closing prices of the current and previous periods, as well as the RSI value.
It classifies the trend as "Up", "Down", or "Sideways" based on the conditions:
Up: Current close is higher than the previous close and RSI is below the overbought level.
Down: Current close is lower than the previous close and RSI is above the oversold level.
Sideways: If neither condition is met.
Table Creation:
A table is created at the bottom right of the chart to display the trend for different timeframes (5m, 15m, 60m, 240m, and Daily).
The table is initialized with headers and then populated with the trend results for each timeframe.
Calculating Trends for Each Timeframe:
The script fetches the current and previous close prices for each timeframe using request.security().
It calculates the RSI for each timeframe and then calls the trendDirection function to determine the trend.
Displaying Trends:
The results are displayed in a table format, with each timeframe and its corresponding trend.
Summary
Overall, this script provides a concise way to visualize market trends across multiple timeframes, using MAs and RSI to offer a more nuanced view of potential market movements. This can help traders make more informed decisions based on the prevailing trends.
Cerca negli script per "moving averages"
RSI from Rolling VWAP [CHE]Introducing the RSI from Rolling VWAP Indicator
Elevate your trading strategy with the RSI from Rolling VWAP —a cutting-edge indicator designed to provide unparalleled insights and enhance your decision-making on TradingView. This advanced tool seamlessly integrates the Relative Strength Index (RSI) with a Rolling Volume-Weighted Average Price (VWAP) to deliver precise and actionable trading signals.
Why Choose RSI from Rolling VWAP ?
- Clear Trend Detection: Our enhanced algorithms ensure accurate identification of bullish and bearish trends, allowing you to capitalize on market movements with confidence.
- Customizable Time Settings: Tailor the time window in days, hours, and minutes to align perfectly with your unique trading strategy and market conditions.
- Flexible Moving Averages: Select from a variety of moving average types—including SMA, EMA, WMA, and more—to smooth the RSI, providing clearer trend analysis and reducing market noise.
- Threshold Alerts: Define upper and lower RSI thresholds to effortlessly spot overbought or oversold conditions, enabling timely and informed trading decisions.
- Visual Enhancements: Enjoy a visually intuitive interface with color-coded RSI lines, moving averages, and background fills that make interpreting market data straightforward and efficient.
- Automatic Signal Labels: Receive immediate bullish and bearish labels directly on your chart, signaling potential trading opportunities without the need for constant monitoring.
Key Features
- Inspired by Proven Tools: Building upon the robust foundation of TradingView's Rolling VWAP, our indicator offers enhanced functionality and greater precision.
- Volume-Weighted Insights: By incorporating volume into the VWAP calculation, gain a deeper understanding of price movements and market strength.
- User-Friendly Configuration: Easily adjust settings to match your trading preferences, whether you're a novice trader or an experienced professional.
- Hypothesis-Driven Analysis: Utilize hypothetical results to backtest strategies, understanding that past performance does not guarantee future outcomes.
How It Works
1. Data Integration: Utilizes the `hlc3` (average of high, low, and close) as the default data source, with customization options available to suit your trading needs.
2. Dynamic Time Window: Automatically calculates the optimal time window based on an auto timeframe or allows for fixed time periods, ensuring flexibility and adaptability.
3. Rolling VWAP Calculation: Accurately computes the Rolling VWAP by balancing price and volume over the specified time window, providing a reliable benchmark for price action.
4. RSI Analysis: Measures momentum through RSI based on Rolling VWAP changes, smoothed with your chosen moving average for enhanced trend clarity.
5. Actionable Signals: Detects and labels bullish and bearish conditions when RSI crosses predefined thresholds, offering clear indicators for potential market entries and exits.
Seamless Integration with Your TradingView Experience
Adding the RSI from Rolling VWAP to your TradingView charts is straightforward:
1. Add to Chart: Simply copy the Pine Script code into TradingView's Pine Editor and apply it to your desired chart.
2. Customize Settings: Adjust the Source Settings, Time Settings, RSI Settings, MA Settings, and Color Settings to align with your trading strategy.
3. Monitor Signals: Watch for RSI crossings above or below your set thresholds, accompanied by clear labels indicating bullish or bearish trends.
4. Optimize Your Trades: Leverage the visual and analytical strengths of the indicator to make informed buy or sell decisions, maximizing your trading potential.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Get Started Today
Transform your trading approach with the RSI from Rolling VWAP indicator. Experience the synergy of momentum and volume-based analysis, and unlock the potential for more accurate and profitable trades.
Download now and take the first step towards a more informed and strategic trading journey!
For further inquiries or support, feel free to contact
Best regards
Chervolino
Inspired by the acclaimed Rolling VWAP by TradingView
Chandelier Exit Pro w/ExtensionsChandelier Exit Pro w/Extensions
The Chandelier Exit Pro w/Extensions indicator is designed to assist traders in managing risk and identifying trend reversals. The strategy is based on the Chandelier Exit concept, originally created by Charles Le Beau. It uses the Average True Range (ATR) to calculate dynamic stop levels that adjust based on market volatility. This script not only implements the standard Chandelier Exit, but also introduces extension levels and alerts to enhance decision-making.
Key Features:
➡️Dynamic Stop Levels: The indicator calculates stop levels for both long and short positions based on an ATR multiple. This allows traders to determine exit points by monitoring when the price crosses above or below these levels. These levels adapt in real-time based on price volatility, making them a versatile tool for trend-following strategies.
➡️Extension Levels: In addition to the primary stop levels, the script includes extension levels for more advanced stop-loss management. Traders can view active and extension levels separately, providing more flexibility in their exit strategies.
➡️Labels and Visual Cues: The indicator provides dynamic labels that automatically update and follow the plotted stop levels. Labels include the ATR multiplier value (e.g., "2.5" or "2.5ext"), clearly showing the significance of each level. When price crosses below or above a level, the corresponding label is highlighted, aiding traders in quickly identifying the most relevant stop level.
➡️Bar Confirmation and Alerts: The script includes an "await bar confirmation" option to ensure that the stop levels and alerts only trigger after the bar has closed. Alerts are customizable and will notify traders when price crosses critical levels, helping to make timely decisions without the need to constantly monitor charts.
➡️Multiple ATR Levels for Enhanced Precision: The indicator supports up to four different ATR levels, each with customizable multipliers. This allows traders to set different thresholds for exits based on varying degrees of volatility. For example, Level 1 (2.5x ATR) might represent a tighter stop, while Level 4 (10x ATR) could serve as a wider stop for long-term positions.
➡️Calc_bars_count: Improves efficiency of the indicator by reducing the on-chart calculations in to the past. This input can be found at the bottom of the INPUTS tab.
How it Helps Traders:
💥Trend Identification: By using the Chandelier Exit levels, traders can identify when the trend is likely to reverse. When the price crosses below the stop level in a long trade or above the stop level in a short trade, it signals a potential exit point.
💥Volatility-based Adjustments: Unlike static stop-loss methods, the ATR-based stop levels dynamically adjust based on the market’s volatility. This means tighter stops during low volatility periods and wider stops during high volatility periods, reducing the chance of being stopped out prematurely.
💥Risk Management: The dynamic stop levels and extension levels provide a structured way to manage risk. Traders can set tighter stops for short-term trades and wider stops for longer-term trades. The script's visual labels make it easy to track these levels in real-time.
💥Automation with Alerts: The built-in alert system ensures that traders are notified when key levels are crossed. This helps to avoid emotional decision-making and allows for better execution of trading strategies.
Confluence and Price Fluidity:
One of the powerful ways to enhance the effectiveness of the Chandelier Exit indicator is by using it in conjunction with other technical analysis tools to create confluence. Confluence occurs when multiple indicators or price action signals align, providing stronger confirmation for a trade decision. For example:
🎯Support and Resistance Levels: Traders can use the Chandelier Exit levels in combination with key support and resistance zones. If the price is nearing a support level and the Chandelier Exit signals a bullish reversal, this alignment strengthens the case for entering a long position.
🎯Moving Averages: When the Chandelier Exit signals a trend reversal and this is confirmed by a crossover in moving averages (such as a 50-day and 200-day moving average), traders gain additional confidence in the trade direction.
🎯Momentum Indicators: Traders can also look for momentum indicators like RSI or MACD to confirm the strength of a trend or potential reversal. For instance, if the Chandelier Exit triggers a short signal and the RSI also shows overbought conditions, this could provide stronger confirmation to exit a long trade or enter a short position.
🎯Candlestick Patterns: Price fluidity can be monitored using candlestick formations. For example, a bearish engulfing pattern near a Chandelier Exit resistance level offers confluence, adding confidence to the signal to close or short the trade.
By combining the Chandelier Exit with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
Practical Use Case:
Imagine a trader enters a long position, and the price moves favorably. Using the Chandelier Exit, the trader sets the initial stop level at 2.5x ATR below the highest close. As the price continues to rise, the stop level follows the price, locking in profits. If the market suddenly turns, the price crossing below the stop level signals an exit, helping the trader preserve gains. With extension levels, the trader can further refine exits, adjusting based on their risk tolerance and market conditions.
Good luck and I hope that you can find a place in your tool bag to use this dynamic indicator 🙏
Bullish Breakout After ConsolidationDescription:
The Bullish Breakout After Consolidation Indicator is designed to help traders identify potential bullish breakout opportunities following a period of tight price consolidation. This indicator combines price action and volume analysis to signal when a stock may experience a significant upward movement.
Features:
Consolidation Range Tightness: The indicator identifies periods where the stock price consolidates within a narrow range, defined as a range less than 2% of the lowest low during the consolidation period. This tight consolidation is often a precursor to strong price movements.
Breakout Detection: Once the price breaks above the highest high of the consolidation range, and this breakout occurs after a specified number of days post-consolidation, the indicator marks it as a potential breakout opportunity.
Volume Confirmation: To avoid false breakouts, the indicator requires increased trading volume during the breakout. This ensures that the breakout is supported by substantial market activity.
Visual Cues:
Breakout Label: A "Breakout" label appears above the bar where a valid breakout occurs, making it easy to spot potential entry points.
Support and Resistance Lines: Horizontal lines plot the highest high (resistance) and lowest low (support) during the consolidation period, helping traders visualize the breakout levels.
Moving Averages: Optional 20-day and 50-day simple moving averages are plotted for additional trend confirmation.
How to Use:
Apply the Indicator: Add the indicator to your chart in TradingView to start analyzing potential breakouts.
Observe Consolidation: Look for tight consolidation periods where the price trades within a narrow range.
Identify Breakouts: Watch for breakouts where the price moves above the highest high of the consolidation range, supported by increased volume.
Confirm with Labels: The "Breakout" label will help you quickly identify valid breakout signals.
Parameters:
Consolidation Length: Number of days to consider for consolidation.
Range Percentage: Maximum percentage range for consolidation tightness.
Days After Consolidation: Number of days post-consolidation to check for the breakout.
Note: As with any trading tool, it is important to use this indicator as part of a broader trading strategy and in conjunction with other forms of analysis.
Disclaimer: This indicator is provided for educational purposes and should not be construed as financial advice. Trading involves risk and may not be suitable for all investors.
Market Sentiment Technicals [LuxAlgo]The Market Sentiment Technicals indicator synthesizes insights from diverse technical analysis techniques, including price action market structures, trend indicators, volatility indicators, momentum oscillators, and more.
The indicator consolidates the evaluated outputs from these techniques into a singular value and presents the combined data through an oscillator format, technical rating, and a histogram panel featuring the sentiment of each component alongside the overall sentiment.
🔶 USAGE
The Market Sentiment Technicals indicator is a tool able to swiftly and easily gauge market sentiment by consolidating the individual sentiment from multiple technical analysis techniques applied to market data into a single value, allowing users to asses if the market is uptrending, consolidating, or downtrending.
The tool includes various components and presentation formats, each described in the sub-sections below.
🔹Indicators Sentiment Panel
The indicators sentiment panel provides normalized sentiment scores for each supported indicator, along with a synthesized representation derived from the average of all individual normalized sentiments.
🔹Market Sentiment Meter
The market sentiment meter is obtained from the synthesized representation derived from the average of all individual normalized sentiments. It allows users to quickly and easily gauge the overall market sentiment.
🔹Market Sentiment Oscillator
The market sentiment oscillator provides a visual means to monitor the current and historical strength of the market. It assists in identifying the trend direction, trend momentum, and overbought and oversold conditions, aiding in the anticipation of potential trend reversals.
Divergence occurs when there is a difference between what the price action is indicating and what the market sentiment oscillator is indicating, helping traders assess changes in the price trend.
🔶 DETAILS
The indicator employs a range of technical analysis techniques to interpret market data. Each group of indicators provides valuable insights into different aspects of market behavior.
🔹Momentum Indicators
Momentum indicators assess the speed and change of price movements, often indicating whether a trend is strengthening or weakening.
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Stochastic %K: Compares the closing price to the range over a specified period to identify potential reversal points.
Stochastic RSI Fast: Combines features of Stochastic oscillators and RSI to gauge both momentum and overbought/oversold levels efficiently.
Commodity Channel Index (CCI): Measures the deviation of an asset's price from its statistical average to determine trend strength and overbought and oversold conditions.
Bull Bear Power: Evaluates the strength of buying and selling pressure in the market.
🔹Trend Indicators
Trend indicators help traders identify the direction of a market trend.
Moving Averages: Provides a smoothed representation of the underlying price data, aiding in trend identification and analysis.
Bollinger Bands: Consists of a middle band (typically a simple moving average) and upper and lower bands, which represent volatility levels of the market.
Supertrend: A trailing stop able to identify the current direction of the trend.
Linear Regression: Fits a straight line to past data points to predict future price movements and identify trend direction.
🔹Market Structures
Market Structures: Analyzes the overall pattern of price movements, including Break of Structure (BOS), Market Structure Shifts (MSS), also referred to as Change of Character (CHoCH), aiding in identifying potential market turning and continuation points.
🔹The Normalization Technique
The normalization technique employed for trend indicators relies on buy-sell signals. The script tracks price movements and normalizes them based on these signals.
normalize(buy, sell, smooth)=>
var os = 0
var float max = na
var float min = na
os := buy ? 1 : sell ? -1 : os
max := os > os ? close : os < os ? max : math.max(close, max)
min := os < os ? close : os > os ? min : math.min(close, min)
ta.sma((close - min)/(max - min), smooth) * 100
In this Pine Script snippet:
The variable os tracks market sentiment, taking a value of 1 for buy signals and -1 for sell signals, indicating bullish and bearish sentiments, respectively.
max and min are used to identify extremes in sentiment and are updated based on changes in os . When market sentiment shifts from buying to selling (or vice versa), max and min adjust accordingly.
Normalization is achieved by comparing current price levels to historical extremes in sentiment. The result is smoothed by default using a 3-period simple moving average. Users have the option to customize the smoothing period via the script settings input menu.
🔶 SETTINGS
🔹Generic Settings
Timeframe: This option selects the timeframe for calculating sentiment. If a timeframe lower than the chart's is chosen, calculations will be based on the chart's timeframe.
Horizontal Offset: Determines the distance at which the visual components of the indicator will be displayed from the primary chart.
Gradient Colors: Allows customization of gradient colors.
🔹Indicators Sentiment Panel
Indicators Sentiment Panel: Toggle the visibility of the indicators sentiment panel.
Panel Height: Determines the height of the panel.
🔹Market Sentiment Meter
Market Sentiment Meter: Toggle the visibility of the market sentiment meter (technical ratings in the shape of a speedometer).
🔹Market Sentiment Oscillator
Market Sentiment Oscillator: Toggle the visibility of the market sentiment oscillator.
Show Divergence: Enables detection of divergences based on the selected option.
Oscillator Line Width: Customization option for the line width.
Oscillator Height: Determines the height of the oscillator.
🔹Settings for Individual Components
In general,
Source: Determines the data source for calculations.
Length: The period to be used in calculations.
Smoothing: Degree of smoothness of the evaluated values.
🔹Normalization Settings - Trend Indicators
Smoothing: The period used in smoothing normalized values, where normalization is applied to moving averages, Bollinger Bands, Supertrend, VWAP bands, and market structures.
🔶 LIMITATIONS
Like any technical analysis tool, the Market Sentiment Technicals indicator has limitations. It's based on historical data and patterns, which may not always accurately predict future market movements. Additionally, market sentiment can be influenced by various factors, including economic news, geopolitical events, and market psychology, which may not be fully captured by technical analysis alone.
Volatility Adjusted Weighted DEMA [BackQuant]Volatility Adjusted Weighted DEMA
The Volatility Adjusted Weighted Double Exponential Moving Average (VAWDEMA) by BackQuant is a sophisticated technical analysis tool designed for traders seeking to integrate volatility into their moving average calculations. This innovative indicator adjusts the weighting of the Double Exponential Moving Average (DEMA) according to recent volatility levels, offering a more dynamic and responsive measure of market trends.
Primarily, the single Moving average is very noisy, but can be used in the context of strategy development, where as the crossover, is best used in the context of defining a trading zone/ macro uptrend on higher timeframes.
Why Volatility Adjustment is Beneficial
Volatility is a fundamental aspect of financial markets, reflecting the intensity of price changes. A volatility adjustment in moving averages is beneficial because it allows the indicator to adapt more quickly during periods of high volatility, providing signals that are more aligned with the current market conditions. This makes the VAWDEMA a versatile tool for identifying trend strength and potential reversal points in more volatile markets.
Understanding DEMA and Its Advantages
DEMA is an indicator that aims to reduce the lag associated with traditional moving averages by applying a double smoothing process. The primary benefit of DEMA is its sensitivity and quicker response to price changes, making it an excellent tool for trend following and momentum trading. Incorporating DEMA into your analysis can help capture trends earlier than with simple moving averages.
The Power of Combining Volatility Adjustment with DEMA
By adjusting the weight of the DEMA based on volatility, the VAWDEMA becomes a powerful hybrid indicator. This combination leverages the quick responsiveness of DEMA while dynamically adjusting its sensitivity based on current market volatility. This results in a moving average that is both swift and adaptive, capable of providing more relevant signals for entering and exiting trades.
Core Logic Behind VAWDEMA
The core logic of the VAWDEMA involves calculating the DEMA for a specified period and then adjusting its weighting based on a volatility measure, such as the average true range (ATR) or standard deviation of price changes. This results in a weighted DEMA that reflects both the direction and the volatility of the market, offering insights into potential trend continuations or reversals.
Utilizing the Crossover in a Trading System
The VAWDEMA crossover occurs when two VAWDEMAs of different lengths cross, signaling potential bullish or bearish market conditions. In a trading system, a crossover can be used as a trigger for entry or exit points:
Bullish Signal: When a shorter-period VAWDEMA crosses above a longer-period VAWDEMA, it may indicate an uptrend, suggesting a potential entry point for a long position.
Bearish Signal: Conversely, when a shorter-period VAWDEMA crosses below a longer-period VAWDEMA, it might signal a downtrend, indicating a possible exit point or a short entry.
Incorporating VAWDEMA crossovers into a trading strategy can enhance decision-making by providing timely and adaptive signals that account for both trend direction and market volatility. Traders should combine these signals with other forms of analysis and risk management techniques to develop a well-rounded trading strategy.
Alert Conditions For Trading
alertcondition(vwdema>vwdema , title="VWDEMA Long", message="VWDEMA Long - {{ticker}} - {{interval}}")
alertcondition(vwdema
Trend Signals with TP & SL [UAlgo]The "Trend Signals with TP & SL " indicator is a versatile tool designed to assist traders in identifying potential trend continuation opportunities within financial markets Utilizing a combination of technical indicators and user-defined parameters, this indicator aims to provide clear and actionable signals to aid traders in making informed trading decisions.
🔶 Features:
Trend Continuation Signals : The indicator generates signals to identify potential trend continuation points based on the input parameters such as sensitivity, ATR length, and cloud moving average length.
Take-Profit and Stop-Loss Levels: It calculates and plots three levels of take-profit (1R, 2R, 3R) and stop-loss levels based on the entry price of the trade.
Short Position Example:
Long Position Example:
Visualization: The script visualizes the trend signals, entry points, take-profit levels, and stop-loss levels on the price chart, making it easier for traders to interpret the signals.
Alert System: The indicator includes an alert system that notifies the user when there is a change in trend direction or when a buy/sell signal is generated. The alerts provide essential information such as entry price, take-profit levels, and stop-loss levels.
🔶 Calculations :
Trend Calculation: Trend signals are determined based on the comparison between the current closing price and the upper and lower bounds calculated using the Average True Range (ATR) multiplied by a sensitivity factor. A trend is considered bullish if the closing price is above the upper bound and bearish if it's below the lower bound.
Entry, Stop Loss, and Take Profit Calculation: Entry points for long and short positions are identified when there's a change in trend direction.
Stop-loss levels are calculated as a percentage of the entry price, where users can define the percentage based on their risk tolerance.
Take-profit levels are calculated as multiples of the stop-loss level (1R, 2R, 3R).
Cloud Moving Averages: Simple moving averages (SMAs) are calculated for high and low prices over a specified period to create a "cloud" visualization on the chart.
MACD Clouds: Moving Average Convergence Divergence (MACD) indicator is used to determine the market's momentum and trend direction. Positive and negative clouds are plotted based on the MACD line and its signal line, indicating potential bullish or bearish trends.
Signal Generation: Buy and sell signals are generated based on specific conditions such as RSI, CMO (Chande Momentum Oscillator), and pivot points.
Signals are triggered when certain criteria are met, indicating potential opportunities for entering or exiting trades.
🔶 Disclaimer:
Use at Your Own Risk: Trading involves significant risk, and this script is provided for educational and informational purposes only. It does not guarantee profitable trades, and users should exercise caution and perform their own analysis before making trading decisions.
Parameter Sensitivity: The effectiveness of the indicator may vary depending on the chosen parameters, market conditions, and timeframe. Users are encouraged to backtest the script thoroughly and adjust the parameters according to their trading preferences.
Not Financial Advice: The information provided by this script should not be considered as financial advice. Users are solely responsible for their trading decisions and should consult with a qualified financial advisor if needed.
Backtesting and Validation: Before implementing this indicator in live trading, users are strongly encouraged to conduct rigorous backtesting and validation to assess its performance under various market conditions. Past performance is not indicative of future results, and users should carefully evaluate the effectiveness of the indicator based on their individual trading preferences and risk tolerance.
Supertrended RSI [AlgoAlpha]🚀📈 Introducing the Supertrended RSI Indicator by AlgoAlpha!
Designed to empower your trading decisions, this innovative Pine Script™ creation marries the precision of the Relative Strength Index (RSI) with the dynamic prowess of the SuperTrend methodology. Whether you’re charting the course of cryptos, riding the waves of stock markets, or navigating the futures landscape, our SuperTrended RSI Indicator is your go-to tool for uncovering unique trend insights and crafting trading strategies. 🌟
Key Features:
🔍 Enhanced RSI Analysis: Combines the traditional RSI with a supertrend calculation for a dynamic look at market trends.
🔄 Multiple Moving Averages: Offers a selection of moving averages including SMA, HMA, EMA, and more for tailored analysis.
🎨 Customizable Visuals: Choose your own color scheme for uptrends and downtrends to match your trading dashboard.
📊 Flexible Input Settings: Tailor the indicator with customizable lengths, factors, and smoothing options.
⚡ Real-Time Alerts: Set alerts for bullish and bearish reversals to stay ahead of market movements.
Quick Guide to Using the Supertrended RSI Indicator
Maximize your trading with the Supertrended RSI by following these streamlined steps! 🚀✨
🛠 Add the Indicator: Search for "Supertrended RSI " in TradingView's Indicators & Strategies. Customize settings like RSI length, MA type, and Supertrend factors to fit your trading style.
🎨 Visual Customization: Adjust uptrend and downtrend colors for clear trend visualization.
📊 Market Analysis: Watch for the Supertrend color change for trend reversals. Use the 70 and 30 lines to spot overbought/oversold conditions.
🔔 Alerts: Enable notifications for reversal conditions to capture trading opportunities without constant chart monitoring.
How It Works:
At the core of this indicator is the combination of the Relative Strength Index (RSI) and the Supertrend framework, it does so by applying the SuperTrend on the RSI. The RSI settings can be adjusted for length and smoothing, with the option to select the data source. The Supertrend calculation takes into account a specified trend factor and the Average True Range (ATR) over a given period to determine trend direction.
Visual elements include plotting the RSI, its moving average, and the Supertrend line, with customizable colors for clarity. Overbought and oversold conditions are highlighted, and trend changes are filled with distinct colors.
🔔 Alerts: Enable alerts for crossover and crossunder events to catch every trading opportunity.
🌈 Whether you're a seasoned trader or just starting, the Supertrended RSI offers a fresh perspective on market trends. 📈
💡 Tip: Experiment with different settings to find the perfect balance for your trading style!
🔗 Explore, customize, and enhance your trading experience with the Supertrended RSI Indicator! Happy trading! 🎉
SML SuiteIntroducing the "SML Suite" Indicator
The "SML Suite" is a powerful and easy-to-use trading indicator designed to help traders make informed decisions in the world of financial markets. Whether you're a seasoned trader or a novice, this indicator is your trusty sidekick for evaluating market trends.
Key Features:
Three Moving Averages: The indicator employs three different moving averages, each with a distinct length, allowing you to adapt to various market conditions.
Customizable Parameters: You can easily customize the moving average lengths and source data to tailor the indicator to your specific trading strategy.
Standard Deviation Multiplier: Adjust the standard deviation multiplier to fine-tune the indicator's sensitivity to market fluctuations.
Binary Results: The indicator provides clear binary signals (1 or -1) based on whether the current price is above or below certain bands. This simplifies your decision-making process.
SML Calculation: The SML (Short, Medium, Long) calculation is a smart combination of the binary results, offering you an overall sentiment about the market.
Color-Coded Visualization: Visualize market sentiment with color-coded bars, making it easy to spot trends at a glance.
Interactive Table: A table is displayed on your chart, giving you a quick overview of the binary results and the overall SML sentiment.
With the "SML Suite" indicator, you don't need to be a coding expert to harness the power of technical analysis. Stay ahead of the game and enhance your trading strategy with this user-friendly tool. Make your trading decisions with confidence and clarity, backed by the insights provided by the "SML Suite" indicator.
Blockchain FundamentalThis indicator is made for traders to harness fundamental blockchain data for better decision-making. Unlike traditional tools, this indicator doesn't depend on standard technical indicators. It offers a novel perspective by focusing on core blockchain metrics like capitalization, miner activity, and other intrinsic data elements. I've designed a distinct scoring logic, exclusive to BF, ensuring it's user-friendly and provides actionable insights for traders at all levels.
Mainly created for Bitcoin , but can be applied to any other crypto assets in cost of losing some metrics in the analysis.
Ethereum chart:
Features:
Customizable Moving Averages:
Choose from an array of moving averages, with the flexibility to adjust the length for a tailored analysis, aiding in pinpointing asset trends.
Blockchain Metrics Integration:
Incorporates a range of blockchain metrics such as Market Cap to Realised Cap ratio, Spent Output Profit Ratio, ATH Drawdown, and more.
Blockchain Metrics Evaluation:
Each metric can be toggled on/off to customize the analysis. Using default settings, traders can use all of the metrics combined.
Every metric is essentially evaluated on a scale from -100 to 100 and then combined with others. If any metric is uncertain about its direction (equals to 0), then the score of it is not accounted in a final calculation.
Kalman Filter:
This indicator offers the option to apply a Kalman filter to the signals, enhancing the smoothness and accuracy of the indicator’s output. This is my approach to mitigate the noise in the final output.
Signal Oscillator:
Displays the aggregated score of all selected blockchain metrics.
Offers visual signals with adjustable upper and lower bounds for easy interpretation based on particular asset observation.
Visual Elements:
Signal Oscillator:
A visual representation of the aggregated blockchain fundamental score.
(White line for a raw calculation, orange line for kalman-filtered one)
Signal Counter:
Displays the count of metrics currently being considered in the fundamental score calculation. (grey line at the middle of an indicator)
Buy/Sell Signal Coloring:
The background color changes to indicate potential buying or selling opportunities based on user-defined bounds.
Usage:
Analysis:
Use the signal oscillator to identify potential market tops and bottoms based on blockchain fundamental data.
Adjust the bounds to customize the sensitivity of buy/sell signals.
Customization:
Enable/disable specific blockchain metrics to tailor the indicator to your analytical needs.
Adjust the moving average type and length for better analysis.
Integration:
Combine with other technical indicators to create a comprehensive trading strategy.
Utilize in conjunction with volume and price action analysis for enhanced decision-making. Every output could be used in traders custom strategies and indicators.
VARGAS"VARGAS" is an indicator that can be used in all timeframes on charts in the stock, crypto, and commodity markets. It allows trades to be opened according to the intersections of moving averages in different time periods.
It is an indicator using weighted moving averages. Using a weighted moving average has the following benefits for traders:
1) Precision and Smoothness: The WMA typically gives more weight to recent prices and therefore reacts faster to more recent data. This helps you catch price movements faster and recognize trend changes faster. On the other hand, the WMA is smoother than the simple moving average (SMA), which makes it less likely to generate false signals.
2) Trend Identification: The WMA is used to identify and analyze price trends. It is especially important for traders who want to track short-term movements. The WMA is used to assess the direction and strength of the trend.
3) Trading Signals: The WMA is used as part of various trading strategies. It is especially used in moving average crossover strategies. For example, a short-term WMA crossing the long-term WMA to the upside can be considered a buy signal, while a reversal can be interpreted as a sell signal.
4) Adaptability to Volatility: WMA can adapt to volatility by changing weighting factors. Investors can adopt a more flexible approach by assigning different weights based on market conditions and asset classes.
5) Data Correction: WMA can be helpful in reducing data noise. A single large price fluctuation can cause the SMA to be more affected, while the WMA reduces the impact of these fluctuations.
In our VARGAS coding, the intersection times of the 9-day and 15-day weighted moving averages allow us to decide the direction of the trend. The green and red cloud areas following the price candles make the strategy easy for the user to follow.
At the intersection between the 9-day weighted moving average and the 15-day weighted moving average, we can use buy and sell signals as follows:
If the 9-day weighted moving average crosses the 15-day weighted moving average upwards, buy,
Sell if the 9-day weighted moving average crosses the 15-day weighted moving average downwards.
Within the scope of this strategy, GOLDEN CROSS and DEATH CROSS intersections, which guide us for trend changes, are also included in the coding. Thus, it is aimed to add strength to our WMA 9 and WMA 15 intersection strategy as an idea.
VARGAS indicator gives better results for longer periods of 4 hours and above. As the time period increases, the probability of correct results will increase.
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"VARGAS" hisse senedi, kripto, ve emtia piyasalarındaki grafiklerde her türlü zaman diliminde kullanılabilen bir indikatördür. Farklı zaman periyotlarındaki hareketli ortalamaların kesişimlerine göre işlem açılmasını sağlar.
Ağırlıklı hareketli ortalamalar kullanılarak hazırlanmış bir göstergedir. Ağırlıklı hareketli ortalama kullanmanın yatırımcılara aşağıdaki gibi faydaları bulunmaktadır:
1) Duyarlılık ve Pürüzsüzlük: WMA, tipik olarak son dönem fiyatlarına daha fazla ağırlık verir ve bu nedenle daha güncel verilere daha hızlı tepki verir. Bu, fiyat hareketlerini daha hızlı yakalamanıza ve daha hızlı trend değişikliklerini tanımanıza yardımcı olur. Diğer yandan, WMA, basit hareketli ortalamaya (SMA) göre daha pürüzsüzdür, bu da yanlış sinyal üretme olasılığını azaltır.
2) Trend Belirleme: WMA, fiyat trendlerini belirlemek ve analiz etmek için kullanılır. Özellikle kısa vadeli hareketleri izlemek isteyen yatırımcılar için önemlidir. WMA, trendin yönünü ve gücünü değerlendirmek için kullanılır.
3) Ticaret Sinyalleri: WMA, çeşitli ticaret stratejilerinin bir parçası olarak kullanılır. Özellikle hareketli ortalama crossover stratejilerinde kullanılır. Örneğin, kısa vadeli WMA'nın uzun vadeli WMA'yı yukarı yönlü kesmesi bir alım sinyali olarak kabul edilebilir, tersine dönmesi ise bir satış sinyali olarak yorumlanabilir.
4) Volatiliteye Uyarlanabilirlik: WMA, ağırlıklandırma faktörlerini değiştirerek volatiliteye uyum sağlayabilir. Yatırımcılar, piyasa koşullarına ve varlık sınıflarına göre farklı ağırlıklar atayarak daha esnek bir yaklaşım benimseyebilirler.
5) Veri Düzeltme: WMA, veri gürültüsünü azaltmada yardımcı olabilir. Tek bir büyük fiyat dalgalanması, SMA'nın daha fazla etkilenmesine neden olabilirken, WMA bu dalgalanmaların etkisini azaltır.
VARGAS isimli kodlamamızda ise 9 günlük ve 15 günlük ağırlıklı hareketli ortalamaların kesişme zamanları trendin yönüne karar vermemizi sağlar. Fiyat mumlarını takip eden yeşil ve kırmızı bulut alanları stratejinin kullanıcı tarafından kolaylıkla takip edilmesini sağlamaktadır.
9 Günlük Ağırlıklı hareketli ortalama, 15 Günlük Ağırlıklı hareketli ortalama arasındaki kesişimde al ve sat sinyallerini şu şekilde kullanabiliriz:
Eğer 9 günlük ağırlıklı hareketli ortalama 15 günlük ağırlıklı hareketli ortalamayı yukarı doğru kesiyorsa al,
Eğer 9 günlük ağırlıklı hareketli ortalama, 15 günlük ağırlıklı hareketli ortalamayı aşağı doğru keserse sat.
Bu strateji kapsamında trend değişimleri için bizlere yön veren GOLDEN CROSS ve DEATH CROSS kesişimleri de kodlamanın içerisinde dahil edilmiştir. Böylelikle WMA 9 ve WMA 15 kesişim stratejimize fikir olarak güç katması hedeflenmiştir.
VARGAS indikatörü 4 saat ve üzeri daha uzun periyotlarda daha iyi sonuçlar vermektedir. Zaman periyodu büyüdükçe doğru sonuç verme olasılığı artacaktır.
Adjustable Bull Bear Candle Indicator (V1.2)Indicator Description: Adjustable Bull Bear Candle Indicator
This indicator, named "Adjustable Bull Bear Candle Indicator ," is designed to assist traders in identifying potential bullish and bearish signals within price charts. It combines candlestick pattern analysis, moving average crossovers, and RSI (Relative Strength Index) conditions to offer insights into potential trading opportunities.
Disclaimer:
Trading involves substantial risk and is not suitable for every investor. This indicator is a tool designed to aid in technical analysis, but it does not guarantee successful trades. Always exercise your own judgment and seek professional advice before making any trading decisions.
Key Features:
Preceding Candles Analysis:
The indicator examines the behavior of the previous 'n' candles to identify specific patterns that indicate bearish or bullish momentum.
Candlestick Pattern and Momentum:
It considers the relationship between the opening and closing prices of the current candle to determine if it's bullish or bearish. The indicator then assesses the absolute price difference and compares it to the cumulative absolute differences of preceding candles.
Moving Averages:
The indicator calculates two Simple Moving Averages (SMAs) – Close SMA and Far SMA – to help identify trends and crossovers in price movement.
Relative Strength Index (RSI):
RSI is used as an additional measure to gauge momentum. It analyzes the current price's magnitude of recent gains and losses and compares it to past data.
Time Constraint:
If enabled, the indicator operates within a specific time window defined by the user. This feature can help traders focus on specific market hours.
Customizable Alerts:
The indicator includes an alert system that can be enabled or disabled. You can also adjust the specific alert conditions to align with your trading strategy.
How to Use:
This indicator generates buy signals when specific conditions are met, including a bullish candlestick pattern, positive price difference, closing price above the SMAs, RSI above a threshold, preceding bearish candles, and optionally within a specified time window. Conversely, short signals are generated under conditions opposite to those of the buy signal.
Disclosure and Risk Warning:
Educational Tool: This indicator is meant for educational purposes and to aid traders in their technical analysis. It's not a trading strategy in itself.
Risk of Loss: Trading carries inherent risks, including the potential for substantial loss. Always manage risk and consider using proper risk management techniques.
Diversification: Do not rely solely on this indicator. A well-rounded trading approach includes fundamental analysis, risk management, and proper diversification.
Consultation: It's strongly advised to consult with a financial professional before making any trading decisions.
Conclusion:
The "Bullish Candle after Bearish Candles with Momentum Indicator" can be a valuable tool in your technical analysis toolkit. However, successful trading requires a deep understanding of market dynamics, risk management, and continual learning. Use this indicator in conjunction with other tools and strategies to enhance your trading decisions.
Remember that past performance is not indicative of future results. Always be cautious and informed when participating in the financial markets.
Major and Minor Trend Indicator by Nikhil34a V 2.2Title: Major and Minor Trend Indicator by Nikhil34a V 2.2
Description:
The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock market.
Features:
SMA Trend Analysis: The script calculates two Simple Moving Averages (SMAs) with user-defined lengths for major and minor trends. It displays these SMAs on the chart, allowing traders to visualize the prevailing trends easily.
Surge Detection: The indicator can detect buying and selling surges based on specific conditions, such as volume, RSI, MACD, and stochastic indicators. Both Buying and Selling surges are marked in black on the chart.
Option Buy Zone Detection: The script identifies the option buy zone based on SMA crossovers, RSI, and MACD values. The buy zone is categorized as "CE Zone" or "PE Zone" and displayed in the table along with the trigger time.
Two-Day High and Low Range: The script calculates the highest high and lowest low of the previous two trading days and plots them on the chart. The area between these points is shaded in semi-transparent green and red colors.
Crossover Analysis: The script analyzes moving average crossovers on multiple timeframes (2-minute, 3-minute, and 5-minute) and displays buy and sell signals accordingly.
Trend Identification: The script identifies the major and minor trends as either bullish or bearish, providing valuable insights into the overall market sentiment.
Usage:
Customize Major and Minor SMA Periods: Adjust the lengths of major and minor SMAs through input parameters to suit your trading preferences.
Enable/Disable Moving Averages: Choose which SMAs to display on the chart by toggling the "showXMA" input options.
Set Surge and Option Buy Zone Thresholds: Modify the surgeThreshold, volumeThreshold, RSIThreshold, and StochThreshold inputs to refine the surge and buy zone detection.
Analyze Crossover Signals: Monitor the crossover signals in the table, categorized by timeframes (2-minute, 3-minute, and 5-minute).
Explore Market Bias and Distance to 2-Day High/Low: The table provides information on market bias, current price movement relative to the previous two-day high and low, and the option buy zone status.
Additional Use Cases:
Surge Indicator:
The script includes a Surge Indicator that detects sudden buying or selling surges in the market. When a buying surge is identified, the "BSurge" label will appear below the corresponding candle with black text on a white background. Similarly, a selling surge will display the "SSurge" label in white text on a black background. These indicators help traders quickly spot strong buying or selling activities that may influence their trading decisions. These surges can be used to identify sudden premium dump zones.
Option Buy Zone:
The Option Buy Zone is an essential feature that identifies potential zones for buying call options (CE Zone) or put options (PE Zone) based on specific technical conditions. The indicator evaluates SMA crossovers, RSI, and MACD values to determine the current market sentiment. When the option buy zone is triggered, the script will display the respective zone ("CE Zone" or "PE Zone") in the table, highlighted with a white background. Additionally, the time when the buy zone was triggered will be shown under the "Option Buy Zone Trigger Time" column.
Price Movement Relative to 2-Day High/Low:
The script calculates the highest high and lowest low of the previous two trading days (high2DaysAgo and low2DaysAgo) and plots these points on the chart. The area between these two points is shaded in semi-transparent green and red colors. The green region indicates the price range between the highpricetoconsider (highest high of the previous two days) and the lower value between highPreviousDay and high2DaysAgo. Similarly, the red region represents the price range between the lowpricetoconsider (lowest low of the previous two days) and the higher value between lowPreviousDay and low2DaysAgo.
Entry Time and Current Zone:
The script identifies potential entry times for trades within the option buy zone. When a valid buy zone trigger occurs, the script calculates the entryTime by adding the durationInMinutes (user-defined) to the startTime. The entryTime will be displayed in the "Entry Time" column of the table. Depending on the comparison between optionbuyzonetriggertime and entryTime, the background color of the entry time will change. If optionbuyzonetriggertime is greater than entryTime, the background color will be yellow, indicating that a new trigger has occurred before the specified duration. Otherwise, the background color will be green, suggesting that the entry time is still within the defined duration.
Current Zone Indicator:
The script further categorizes the current zone as either "CE Zone" (call option zone) or "PE Zone" (put option zone). When the market is trending upwards and the minor SMA is above the major SMA, the currentZone will be set to "CE Zone." Conversely, when the market is trending downwards and the minor SMA is below the major SMA, the currentZone will be "PE Zone." This information is displayed in the "Current Zone" column of the table.
These additional use cases empower traders with valuable insights into market trends, buying and selling surges, option buy zones, and potential entry times. Traders can combine this information with their analysis and risk management strategies to make informed and confident trading decisions.
Note:
The script is optimized for identifying trends and potential trade opportunities. It is crucial to perform additional analysis and risk management before executing any trades based on the provided signals.
Happy Trading!
Pseudo-Entropy Oscillator with Standard Deviation (modified)Intuition: The Pseudo-Entropy Oscillator with Standard Deviation (PEO_SD) was created to provide traders with a way to analyze market momentum and potential reversals. It combines the concepts of entropy, standard deviation, and moving averages to offer insights into market behavior.The oscillator's core idea is to measure the pseudo-entropy of the market using standard deviation. Pseudo-entropy refers to the degree of disorder or randomness in the price data. By calculating the standard deviation of the closing prices over a specified period, the oscillator quantifies the market's volatility.To enhance the usefulness of the pseudo-entropy measurement, the oscillator incorporates moving averages. The entropy delta is calculated by applying momentum analysis to the pseudo-entropy values. This helps identify short-term changes in the entropy, indicating shifts in market sentiment or momentum.The oscillator further smoothes the pseudo-entropy values by calculating the simple moving average (SMA) over a specified length. This helps filter out noise and provides a clearer representation of the market's overall momentum.
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The "Pseudo-Entropy Oscillator with Standard Deviation" (PEO_SD) is a custom indicator designed to help traders analyze market momentum and potential reversal points. It can be applied to various markets like stocks, commodities, forex, or cryptocurrencies. By using this indicator, you can gain insights into the market's behavior and make more informed trading decisions.
The PEO_SD indicator plots three lines on your chart: the fast pseudo-entropy line, the medium pseudo-entropy line, and the slow pseudo-entropy line. Each line represents the combined pseudo-entropy values, which are calculated using standard deviation and moving averages.
The lines are color-coded for easy identification. The fast line is represented by blue, the medium line by yellow, and the slow line by red. Additionally, three horizontal reference lines are plotted: the mid line (at 50), the lower bound (at 20), and the upper bound (at 80).
To use this indicator effectively, you can observe the interactions of the lines with the reference lines. For example, when any of the lines cross above the mid line, it might indicate a bullish signal, suggesting an upward price movement. Conversely, a crossover below the mid line could be a bearish signal, indicating a potential downward price movement. If the lines reach the upper bound, it might suggest that the market is overbought, and a reversal could be imminent. Conversely, reaching the lower bound may indicate that the market is oversold, possibly leading to a price reversal.
By applying the PEO_SD indicator and studying the lines' movements, you can gain valuable insights into market momentum, identify potential reversal points, and make more informed trading decisions.
[SMT] Binary Option 1 MinuteThis indicator called " Binary Option 1 Minute" is designed to trade binary options on 1-minute time frames. It is based on two moving averages and a crossover signal. The moving averages used are calculated from the average prices of the last time periods. The first moving average is calculated with a shorter period, while the second is calculated with a longer period.
The signal is generated when the first moving average crosses above or below the second moving average, and then an additional filter is applied. The signal filter is calculated using an exponentially weighted moving average of the difference between the two moving averages. When the signal crosses above the zero line, a buy signal is generated, and when the signal crosses below the zero line, a sell signal is generated.
The indicator plots buy and sell arrows on the chart when a signal is generated. Additionally, it can also display gains and losses in the form of background colors. The green color indicates a gain, and the red color indicates a loss. Finally, the indicator includes sound and text alerts to inform the trader about the generation of a signal.
Attention: This indicator does not repaint! Wait for the candle to close to confirm the entry signal. Remember that signals do not imply guarantees of accuracy or gains. It is highly recommended that you test the indicator on a demo account before using it on a real account.
L_Trade_BoundariesLibrary "L_Trade_Boundaries"
Trade Boundaries suggest a strength of the security with respect to previous lows. The "L" implies library, and the trade boundaries implies it could be utilized for price strengths. Though, this should not be used as a single parameter to trade wildly. This library can be imported to a custom indicator to utilized the custom functions. There are moving averages attached at the bottom right of the canvas (overlay) to benchmark the closing price with respect to Moving Averages: 20, 28, and 200 (i.e., "D" if timeframe == "D") respectively. The Volume Indicator located at the top of the canvas is a default function (function already made by the trading view) this shows the volume with respect to the selected time frame. All of the indicators tell a story with regard to the security price (in strength terms).
What is available in this Library?
Litmus Color
> This is a function will change color of two numbers, if the first number is less than the second, the color will be red; otherwise, the color will be green.
Lister
> This is simply using an array by revisiting previous lows and plotting to the current time frame (i.e., "D"). There is a custom frequency input for the function, it will go back as much as the implied/specified length. Note: I am still learning how to use array, use this function with discretion. I would also appreciate if there are suggestions commented below.
Moving Average
> This function invokes three moving average metrics: 20, 28, and 200 respectively. The values are displayed at the bottom right of the canvas.
Timeframe Highlight
> This function checks for the input timeframe (i.e., "D", "W", "M") and if the time frame happens to be the same, it will give a "true" result. This result can be utilized for highlighting the positive results on the canvas (the red lines).
litmus_color(value1, value2)
Parameters:
value1
value2
lister(length)
Parameters:
length
moving_averages()
timeframe_highlight(timeframe)
Parameters:
timeframe
Multiple MAs + No Trend Zone + ATR WidgetThis is my first Pine Script attempt. Nothing special, just an "all in one" for the most common things I use, and what I have found to be the most common in a lot of strategies.
Great for free and limited accounts as it combines 7 total indicators into one.
-- First 5 indicators are Independant Moving Averages:
-Each one can be set for length, as well as source and type (SMA, EMA, SMMA, WMA, VWMA) individually
-- Second type (6th) of indicator is one I find extremly useful for staying OUT of consolidation trading. It's called a "No Trend Zone" indicator I swipped from the Hoffman Startegy. Basically, its set for a small deviation (0.5) of a 35 EMA, which creates a "Band" around the 35 line. When you have this "Band" flat or with no discernable incline/decline, with price action OR some or multiple moving averages inside this banded zone, it typically indicates a zone of consolidation. This will help you identify when you may be in one of those zones, that way you don't get trapped "waiting for paint to dry" before the market starts to move again with your position, and keep you from entering should you be considering the market at that time.
The last indicator is my favorite, and one I will refine a little deeper soon.
-- The ATR widget finishes us out. This widget can be customized for colors, turned on or off, and automatically rounds the ATR (ATR period based on the chart timeframe) to a nice readable number for what you're trading. It has settings to show or not, the length, what rounding style to use (forex pip 0.0001, forex/stock/etf/indicies 0.01) where to show it on the pane, a Multiplier Factor (for stop loss calculations automatically) and the colors.
***NOTE ABOUT ATR WIDGET:
I am primarily a forex trader, so the defaults are for Forex 0.0001. If you see some odd numbers (like 55798 on a current chart), check the inputs tab on the settings, and change the "ATR Style" from "Forex 0.0001" to "Forex/Stock/ETF/Indicies 0.01", and you should arrive with the correct number.
Moving Average StackTwo groups of moving averages.
Each group can have up to 3 three different moving averages.
You can choose between SMA, EMA, WMA, VWMA, or HMA for each group.
Integrated time locked capabilities so you can have long term moving averages shown on short timeframes.
Enjoy :)
crypto futures hourly scalping with ma & rsi - ogcheckershi to all lovable traders,
hereby i want to share a combination of trade ideas for scalping
i've chosen hourly timeframe
indicators used: moving averages and rsi
moving averages:
ema 3, ema 5, ema 7
sma 3, sma 5, sma 7
daily_ema_3, daily_ema_5
daily_ema_5, daily_sma_5
rsi:
rsi 7, rsi 14, rsi 26
daily_rsi_7, daily_rsi_14, daily_rsi_26
as per the analysis over moving average behavioral patterns & rsi movements, useful points are given below which will be helpful while choosing good entry points & exit points,
strategical points for LONG:
* when ema3 crosses above sma3 - green candles start to form
* it's followed by ema5 > sma5 and ema7 > sma7
* when ema3 crosses down sma3 - it's considered as an indication of exit
* if rsi supports then can wait for ema5 crossing down sma5
* as similar, when daily_ema_3 crosses above daily_sma_3, its an higher timeframe bullish indication, so the lower timeframe entries inside this higher timeframe is a sure shot confident entry
* for LONG always take entries when rsi_14 < 30 or 25 else check rsi_7 < 25 or below
* as along the above, bullish CANDLE patterns like bullish engulfing , morning star is been used for entry at lower levels
* so here i've used OPEN as rsi_source in majority
* exit points also indicated at high_rsi and moving average crossunders or reverse crossovers
* for SHORTING, the above said ideas can be used in viceversa
* inputs in the indicator were tailored for users needs so that you will enjoy the magics of customization
if i am wrong in anyways regarding the above indicator strategy, please forgive me and help me improve in this aspect by commenting.
after few more studies and analysis and mainly QUERIES & COMMENTS, i'm planning to backtest these strategies here in tradingview.
also if these strategies are coded in python, we can link it to Binance Futures Algo or Bot Trading.
thankyou for this opportunity,
thanks to tradingview and pinecoders
thanks to Pranab (for 365MA)
thanks to Gandalf (for inspiring)
Special Thanks & Love to Chartbank for Everything
Multiple MTF Variable Moving Average by HassonyaVMA(Variable Moving Average) automatically adjusts its smoothing constant on the basis of Market Volatility.
Use VMA like other Moving Averages. This indicator lazybear's variable moving average has been upgraded and arranged in multi-time frame.
There are 5 variable moving averages whose periods can be changed.
Trend Direction Colors: GREEN COLOR = UpTrend, BLUE COLOR = Potential Congestion, RED COLOR = DownTrend.
If you want, you can use multi-time frame period breakouts
If you want, you can use moving average breakouts of different lengths in the same period.
In this way, you can use 5 moving moving averages in the same period or in different periods.
To activate, go to settings and activate the box to the left of the name. If you uncheck the box, the moving average will disappear.
Stay with the trade and investment. I wish you abundance.
Multiple EMAAn exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average (SMA), which applies an equal weight to all observations in the period.
The EMA is a moving average that places a greater weight and significance on the most recent data points.
Like all moving averages, this technical indicator is used to produce buy and sell signals based on crossovers and divergences from the historical average.
Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
Points to remember:
Exponential moving averages are more sensitive to the recent price
EMA can signal good trades, but it can also keep you out of bad trades
EMA offers dynamic support and resistance levels, which is good for trailing Stop Loss
The EMA slope shape has hidden secrets
The rules for the EMA trading strategy can be modified to fit your own trading needs. We don’t claim this to be hard rules, but they are good on their own to make for a great trading strategy. Make sure you first test out the EMA strategy on a paper trading account before you risk any of your hard-earned money
On Balance Volume FieldsThe On Balance Volume (OBV) indicator was developed by Joseph E. Granville and published first in his book "New key to stock market profits" in 1963. It uses volume to determine momentum of an asset. The base concept of OBV is - in simple terms - you take a running total of the volume and either add or subtract the current timeframe volume if the market goes up or down. The simplest use cases only use the line build that way to confirm direction of price, but the possibilities and applications of OBV go far beyond that and are (at least to my knowledge) not found in existing indicators available on this platform.
If you are interested to get a deeper understanding of OBV, I recommend the lecture of the above mentioned book by Granville. All the features described below are taken directly from the book or are inspired by it (deviations will be marked accordingly). If you have no prior experience with OBV, I recommend to start simple and read an easy introduction (e.g. On-Balance Volume (OBV) Definition from Investopedia) and start applying the basic concepts first before heading into the more advanced analysis of OBV fields and trends.
Markets and Timeframes
As the OBV is "just" a momentum indicator, it should be applicable to any market and timeframe.
As a long term investor, my experience is limited to the longer timeframes (primarily daily), which is also how Granville applies it. But that is most likely due to the time it was developed and the lack of lower timeframe data at that point in time. I don't see why it wouldn't be applicable to any timeframe, but cannot speak from experience here so do your own research and let me know. Likewise, I invest in the crypto markets almost exclusively and hence this is where my experience with this indicator comes from.
Feature List
As a general note before starting into the description of the individual features: I use the colors and values of the default settings of the indicator to describe it. The general look and feel obviously can be customized (and I highly recommend doing so, as this is a very visual representation of volume, and it should suit your way of looking at a chart) and I also tried to make the individual features as customizable as possible.
Also, all additions to the OBV itself can be turned off so that you're left with just the OBV line (although if that's what you want, I recommend a version of the indicator with less overhead).
Fields
Fields are defined as successive UPs or DOWNs on the OBV. An UP is any OBV reading above the last high pivot and subsequently a DOWN is any reading below the last low pivot. An UP-field is the time from the first UP after a DOWN-field to the first DOWN (not including). The same goes for a DOWN field but vice versa.
The field serves the same purpose as the OBV itself. To indicate momentum direction. I haven't found much use for the fields themselves other than serving as a more smoothed view on the current momentum. The real power of the fields emerges when starting to determine larger trends of off them (as you will see soon).
Therefor the fields are displayed on the indicator as background colors (UP = green, DOWN = red), but only very faint to not distract too much from the other parts of the indicator.
Major Volume Trend
The major volume trend - from which Granville says, it's the one that tends to precede price - is determined as the succession of the highest highs and lowest lows of UP and DOWN fields. It is represented by the colors of the numbers printed on the highs and lows of the fields.
The trend to be "Rising" is defined as the highest high of an UP field being higher than the highest high of the last UP field and the lowest low of the last DOWN field being higher than the lowest low of the prior DOWN field. And vice versa for a "Falling" trend. If the trend does not have a rising or falling pattern, it is said to be "Doubtful". The colors are indicated as follows:
Rising = green
Falling = red
Doubtful = blue
ZigZag Swing count
The swing count is determined by counting the number of swings within a trend (as described above) and is represented by the numbers above the highs and lows of the fields. It determines the length and thus strength of a trend.
In general there are two ways to determine the count. The first one is by counting the swings between pivots and the second one by counting the swings between highs and lows of fields. This indicator represents the SECOND one as it represents the longer term trend (which I'm more interested in as it denotes a longer term perspective).
However, the ZigZag count has three applications on the OBV. The "simple ZigZag" is a count of three swings which mainly tells you that the shorter term momentum of the market has changed and the current trend is weakening. This doesn't mean it will reverse. A count of three downs is still healthy if it occurs on a strong uptrend (and vice versa) and it should primarily serve as a sign of caution. If the count increases beyond three, the last trend is weakening considerably, and you should probably take action.
The second count to look out for is five swings - the "compound ZigZag". If this goes hand in hand with breaking a major support/resistance on the OBV it can offer a buying/selling opportunity in the direction of the trend. Otherwise, there's a good chance that this is a reversal signal.
The third count is nine. To quote Granville directly: "there is a very strong tendency FOR MAJOR REVERSAL OF REND AFTER THE NINTH SWING" (emphasis by the author). This is something I look out for and get cautious about, although I have found signal to be weak in an overextended market. I have observed counts of 10 and even 12 which did not result in a major reversal and the market trended further after a short period of time. This is still a major sign of caution and should not be taken lightly.
Moving average
Although Granville talks only briefly about averages and the only mention of a specific one is the 10MA, I found moving averages to be a very valuable addition to my analysis of the OBV movements.
The indicator uses three Exponential Moving Averages. A long term one to determine the general direction and two short term ones to determine the momentum of the trend. Especially for the latter two, keep in mind that those are very indirect as they are indicators of an indicator anyway and I they should not necessarily be used as support or resistance (although that might sometimes be helpful). I recommend paying most attention to the longterm average as I've found it to be very accurate when determining the longterm trend of a market (even better than the same indicator on the price).
If the OBV is above the long term average, the space between OBV and average is filled green and filled red if below. The colors and defaults for the averages are:
long term, 144EMA, green
short term 1, 21EMA, blue
short term 2, 55EMA, red
Divergences
This is a very rudimentary adaption of the standard TradingView "Divergence Indicator". I find it helpful to have these on the radar, but do not actively use them (as in having a strategy based on OBV/price divergence). This is something that I would eventually pick up in a later version of the indicator if there is any demand for it, or I find the time to look into strategies based on this.
Comparison line
A small but very helpful addition to the indicator is a horizontal line that traces the current OBV value in real time, which makes it very easy to compare the current value of the OBV to historic values (which is a study I can highly recommend).
All MAs displayedThis is a collection of moving averages.
Thanks to everget and other pinecoders to pubblish their codes in tradingview.
I just collect a lot of moving averages in one script and transform them in stand alone functions, so you can copy and paste in your script the MA that best fit your needs.
Furthermore, the chart shows which moving average has more smooth and which one has less lag and so on: in this way it is easy to graphically compare moving averages.
