Median Standard Deviation | viResearchMedian Standard Deviation | viResearch
The "Median Standard Deviation" indicator, developed by viResearch, introduces a unique combination of median smoothing and standard deviation to detect trends and volatility in market data. This tool provides traders with a stable and accurate measure of price trends by integrating median smoothing with a customized calculation of the standard deviation. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation:
The "Median Standard Deviation" indicator incorporates median smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
Median Smoothing:
DEMA Calculation (len_dema): The script applies a Double Exponential Moving Average (DEMA) to smooth the price data over a user-defined period, reducing noise and helping traders focus on broader market trends.
Median Calculation (median_len): The smoothed DEMA data is further refined by calculating the 50th percentile (median) over a specified length, ensuring that the central tendency of price data is captured more accurately than with a simple moving average.
Volatility Measurement:
ATR Calculation (atr_len, atr_mul): The script incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the median, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Analysis:
Standard Deviation Calculation (len_sd): The script calculates the standard deviation of the median over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (sdd, sdl) act as additional indicators of price extremes.
Trend Detection:
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands are used to signal potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs:
The "Median Standard Deviation" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
DEMA Length: Allows traders to adjust the sensitivity of the DEMA smoothing to control the amount of noise filtered from the price data.
Median Length: Users can define the length over which the median price is calculated, providing flexibility in capturing short-term or long-term trends.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing for further customization in detecting price volatility.
Practical Applications:
The "Median Standard Deviation" indicator is particularly effective in volatile markets where price swings can lead to false signals using traditional methods. By combining median smoothing and standard deviation, this tool provides a more robust analysis of trends and price movements.
Key Uses:
Trend Following: The upper and lower bands provide clear signals for entering and exiting trades based on whether the price is moving outside the calculated ranges.
Volatility Detection: The integration of ATR and standard deviation bands allows traders to assess market volatility in real time, enabling more informed trading decisions.
Noise Reduction: The use of median smoothing ensures that short-term price fluctuations do not interfere with broader trend analysis, making this indicator ideal for traders looking to avoid whipsaws in volatile markets.
Advantages and Strategic Value:
The "Median Standard Deviation" indicator offers several key advantages:
Precision in Trend Detection: The combination of median smoothing and standard deviation allows traders to detect trends with greater accuracy, reducing the risk of false signals.
Customization: With several adjustable parameters, traders can fine-tune the indicator to suit different timeframes and trading strategies.
Volatility Sensitivity: By incorporating ATR and standard deviation, this indicator provides an adaptive measure of market volatility, ensuring that traders are always aware of potential price swings.
Summary and Usage Tips:
The "Median Standard Deviation" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of median smoothing and standard deviation provides a nuanced view of market movements, helping traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs, whether used for trend detection, volatility analysis, or noise reduction. The "Median Standard Deviation" offers a reliable and adaptable solution for modern trading strategies.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
Komut dosyalarını "Exponential Moving Average" için ara
Uptrick: Adaptive Cloud Oscillator (ACO)### **Uptrick: Adaptive Cloud Oscillator (ACO)**
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### Introduction
The **Uptrick: Adaptive Cloud Oscillator (ACO)** is an advanced technical analysis tool designed to empower traders with precise trend detection and visual clarity in dynamic market conditions. By seamlessly integrating adaptive trend analysis, volatility filtering, and cloud-based support and resistance levels, the ACO provides traders with the actionable insights needed to navigate complex markets with confidence.
This indicator is highly customizable, allowing traders to tailor its functionality to their specific trading style and preferences. Whether you're a trend follower, swing trader, or looking to identify key support and resistance zones, the **Uptrick: ACO** is an indispensable tool that can adapt to a variety of market conditions.
### Indicator Purpose and Functionality
#### 1. **Adaptive Trend Detection**
At the heart of the **Uptrick: ACO** lies its adaptive trend detection algorithm. Unlike traditional moving averages that may lag in volatile markets or react too slowly to rapid changes, this adaptive method uses a smoothing technique that dynamically adjusts based on market conditions. By doing so, it provides a more responsive trend line that captures meaningful price movements while filtering out minor fluctuations.
- **How It Works:** The trend line is calculated using an adaptive smoothing factor, making it responsive to recent price actions while maintaining a level of stability that prevents whipsaw signals. This ensures that traders are always in tune with the prevailing market trend, whether bullish, bearish, or neutral.
#### 2. **Dynamic Cloud Support and Resistance**
The **Uptrick: ACO** features a dynamic "cloud" that serves as a key element in its analysis. This cloud is constructed using a moving average combined with the Average True Range (ATR), which adjusts based on the market’s volatility. The cloud provides dynamic support and resistance levels, essential for identifying potential reversal zones or confirming trend continuations.
- **Cloud Displacement:** The cloud is displaced forward by a user-defined number of bars, offering a predictive view of where future support and resistance levels may lie. This forward-looking feature helps traders anticipate potential price movements, making the ACO a powerful tool for planning trades ahead of time.
#### 3. **Versatile Visualization Options**
The **Uptrick: ACO** is designed with flexibility in mind, allowing users to choose between two distinct display modes:
- **Buy/Sell Signals:** In this mode, the indicator generates clear buy and sell signals based on crossovers of the trend line and the cloud boundaries. These signals are visualized directly on the chart with up and down labels, making it easy for traders to identify potential entry and exit points.
- **Cloud Fill Only:** For traders who prefer a cleaner chart, this mode removes the buy/sell signals and instead focuses on coloring the area between the upper and lower cloud boundaries. The color of the cloud fill changes based on the trend direction, providing a visual representation of the market's momentum.
- **Optional EMA Line:** An Exponential Moving Average (EMA) line can be optionally displayed on the chart. The EMA serves as an additional trend filter, helping traders further refine their entries and exits. The length, color, and thickness of the EMA are fully customizable to fit individual trading strategies.
### Practical Applications
#### 1. **Trend Following and Reversals**
The **Uptrick: ACO** excels in identifying and following trends. By analyzing the relationship between the trend line and the cloud, traders can determine the strength and direction of the current market trend. The cloud’s dynamic nature means it can adapt to both trending and ranging markets, providing consistent insights regardless of market conditions.
- **Example:** If the trend line crosses above the upper cloud boundary, it signals a potential buy opportunity. Conversely, a cross below the lower cloud boundary suggests a sell opportunity. Traders can use these signals to enter trades aligned with the prevailing trend.
#### 2. **Support and Resistance Identification**
The forward-displaced cloud acts as a predictive support and resistance zone. Traders can use these zones to set stop-loss levels, determine take-profit targets, or identify potential reversal points.
- **Example:** When the price approaches the upper cloud boundary from below, the boundary may act as resistance, indicating a potential reversal or pullback. If the price breaks through this level, it may signal a continuation of the bullish trend.
#### 3. **Volatility-Based Analysis**
By incorporating ATR into its calculations, the **Uptrick: ACO** provides a built-in mechanism to adapt to varying levels of market volatility. This makes it particularly useful in markets prone to sudden spikes in volatility, such as during major economic announcements or geopolitical events.
- **Example:** In a high-volatility environment, the cloud widens, allowing for greater price fluctuations within the trend. Traders can use this information to adjust their risk management strategies, such as widening stop-loss levels during volatile periods to avoid being stopped out prematurely.
### Customization and Flexibility
The **Uptrick: ACO** is designed to be highly customizable, ensuring it can meet the needs of traders with different strategies and preferences. Key customization options include:
- **Cloud and Trend Settings:** Traders can adjust the length of the cloud, the smoothing factor for the trend line, and the displacement of the cloud to optimize the indicator for their specific market and timeframe.
- **Display Modes:** With a simple dropdown selection, traders can choose whether to display buy/sell signals or focus solely on the cloud fill, providing flexibility in how the indicator is visualized.
- **Color and Style Customization:** The colors for bullish and bearish trends, cloud fill, buy/sell signals, and the EMA line can all be customized, allowing traders to integrate the **Uptrick: ACO** seamlessly into their existing chart setups.
### Conclusion
The **Uptrick: Adaptive Cloud Oscillator (ACO)** is more than just a trend indicator—it's a comprehensive market analysis tool that provides traders with a deep understanding of market dynamics. Its combination of adaptive trend analysis, dynamic support and resistance levels, and versatile visualization options makes it an essential tool for traders looking to gain an edge in any market environment.
Whether you're a seasoned trader or just starting, the **Uptrick: ACO** offers the insights and flexibility needed to make informed trading decisions. By helping you identify trends, anticipate reversals, and adapt to changing market conditions, the **Uptrick: ACO** can significantly enhance your trading strategy and improve your overall trading performance.
GannLSVZO Indicator [Algo Alert]The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
The Gann Laplace Smoothed Volume Zone Oscillator GannLSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the upgraded Discrete Fourier Transform, the Laplace Stieltjes Transform. Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends.
By combining the Laplace with Gann Swing Entries and Exits (orange X) and with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions.
HOW TO USE THE INDICATOR:
The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well)
The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend.
ORIGINALITY & USFULLNESS:
Personal combination of Gann swings and Laplace Stieltjes Transform of a price which results in less noise Volume Zone Oscillator.
The Laplace Stieltjes Transform is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element.
This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding.
The Gann swings and the Gan swing strategy is developed by meomeo105, this Gann high and low algorithm forms the basis of the EMA modification.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is oscillator?
Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets.
What is volume zone oscillator?
Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price.
Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average.
What does this mean?
If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely.
If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely.
Rising means that VZO on close is higher than the previous day.
Falling means that VZO on close is lower than the previous day.
What if VZO is falling above 0 line?
It means we have a high probability of a bearish trend.
Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend.
What is approximation and smoothing?
They are mathematical concepts for making a discrete set of numbers a
continuous curved line.
Laplace Stieltjes Transform approximation of a close price are taken from aprox library.
Key Features:
You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length.
Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification.
Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics.
Choose between the traditional Fast Laplace Stieltjes Transform (FLT) and the innovative Double Discrete Fourier Transform (DTF32) soothed price series to suit your analytical needs.
Use dynamic calculation of Laplace coefficient or the static one. You may modify those inputs and Strategy entries with Gann swings.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
Fine-tune Inputs: Gann + Laplace Smooth Volume Zone OscillatorUse this Strategy to Fine-tune inputs for the GannLSVZ0 Indicator.
Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame.
MEANINGFUL DESCRIPTION:
The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
The Gann Laplace Smoothed Volume Zone Oscillator GannLSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the upgraded Discrete Fourier Transform, the Laplace Stieltjes Transform. Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends.
By combining the Laplace with Gann Swing Entries and with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions.
HOW TO USE THE INDICATOR:
The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well)
The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend.
HOW TO USE THE STRATEGY:
Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M.
When Indicator/Strategy returns 0 or natural trend, Strategy Closes All it's positions.
ORIGINALITY & USFULLNESS:
Personal combination of Gann swings and Laplace Stieltjes Transform of a price which results in less noise Volume Zone Oscillator.
The Laplace Stieltjes Transform is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element.
This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding.
The Gann swing strategy is developed by meomeo105, this Gann high and low algorithm forms the basis of the EMA modification.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is oscillator?
Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets.
What is volume zone oscillator?
Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price.
Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average.
What does this mean?
If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely.
If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely.
Rising means that VZO on close is higher than the previous day.
Falling means that VZO on close is lower than the previous day.
What if VZO is falling above 0 line?
It means we have a high probability of a bearish trend.
Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend.
What is approximation and smoothing?
They are mathematical concepts for making a discrete set of numbers a
continuous curved line.
Laplace Stieltjes Transform approximation of a close price are taken from aprox library.
Key Features:
You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length.
Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification.
Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics.
Choose between the traditional Fast Laplace Stieltjes Transform (FLT) and the innovative Double Discrete Fourier Transform (DTF32) soothed price series to suit your analytical needs.
Use dynamic calculation of Laplace coefficient or the static one. You may modify those inputs and Strategy entries with Gann swings.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
Zero-lag TEMA Crosses Strategy[Pakun]Here's the adjusted strategy description in English, aligned with the house rules:
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### Strategy Name: Zero-lag TEMA Cross Strategy
**Purpose:** This strategy aims to identify entry and exit points in the market using Zero-lag Triple Exponential Moving Averages (TEMA). It focuses on minimizing lag and improving the accuracy of trend-following signals.
### Uniqueness and Usefulness
**Uniqueness:** This strategy employs the less commonly used Zero-lag TEMA, compared to standard moving averages. This unique approach reduces lag and provides more timely signals.
**Usefulness:** This strategy is valuable for traders looking to capture trend reversals or continuations with reduced lag. It has the potential to enhance the profitability and accuracy of trades.
### Entry Conditions
**Long Entry:**
- **Condition:** A crossover occurs where the short-term Zero-lag TEMA surpasses the long-term Zero-lag TEMA.
- **Signal:** A buy signal is generated, indicating a potential uptrend.
**Short Entry:**
- **Condition:** A crossunder occurs where the short-term Zero-lag TEMA falls below the long-term Zero-lag TEMA.
- **Signal:** A sell signal is generated, indicating a potential downtrend.
### Exit Conditions
**Exit Strategy:**
- **Stop Loss:** Positions are closed if the price moves against the trade and hits the predefined stop loss level. The stop loss is set based on recent highs/lows.
- **Take Profit:** Positions are closed when the price reaches the profit target. The profit target is calculated as 1.5 times the distance between the entry price and the stop loss level.
### Risk Management
**Risk Management Rules:**
- This strategy incorporates a dynamic stop loss mechanism based on recent highs/lows over a specified period.
- The take profit level ensures a reward-to-risk ratio of 1.5 times the stop loss distance.
- These measures aim to manage risk and protect capital.
**Account Size:** ¥500,000
**Commissions and Slippage:** 94 pips per trade and 1 pip slippage
**Risk per Trade:** 1% of account equity
### Configurable Options
**Configurable Options:**
- Lookback Period: The number of bars to calculate recent highs/lows.
- Fast Period: Length of the short-term Zero-lag TEMA (69).
- Slow Period: Length of the long-term Zero-lag TEMA (130).
- Signal Display: Option to display buy/sell signals on the chart.
- Bar Color: Option to change bar colors based on trend direction.
### Adequate Sample Size
**Sample Size Justification:**
- To ensure the robustness and reliability of the strategy, it should be tested with a sufficiently long period of historical data.
- It is recommended to backtest across multiple market cycles to adapt to different market conditions.
- This strategy was backtested using 10 days of historical data, including 184 trades.
### Notes
**Additional Considerations:**
- This strategy is designed for educational purposes and should be thoroughly tested in a demo environment before live trading.
- Settings should be adjusted based on the asset being traded and current market conditions.
### Credits
**Acknowledgments:**
- The concept and implementation of Zero-lag TEMA are based on contributions from technical analysts and the trading community.
- Special thanks to John Doe for the TEMA concept.
- Thanks to Zero-lag TEMA Crosses .
- This strategy has been enhanced by adding new filtering algorithms and risk management rules to the original TEMA code.
### Clean Chart Description
**Chart Appearance:**
- This strategy provides a clean and informative chart by plotting Zero-lag TEMA lines and optional entry/exit signals.
- The display of signals and color bars can be toggled to declutter the chart, improving readability and analysis.
Scalping System by Machine# Custom Trading System Indicator
This Pine Script indicator is designed to identify potential trading setups based on a specific set of rules. It's intended for use on lower timeframes (M1-M5) in the forex market, particularly during the New York-London overlap period.
## Key Features
1. **EMA Condition**: Uses a 20-period Exponential Moving Average (EMA) to determine trend direction.
2. **Candle Analysis**: Identifies strong bars and candle color changes.
3. **Volume Confirmation**: Checks for increasing volume.
4. **Volatility Filter**: Utilizes the Average True Range (ATR) to gauge market volatility.
5. **Time-based Filter**: Highlights the New York-London overlap period.
6. **Visual Aids**: Plots potential entry points, stop losses, and take profit levels.
## Trading Rules
1. **Buy Signal**:
- Price is above the 20 EMA
- Candle color changes from red to green
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
2. **Sell Signal**:
- Price is below the 20 EMA
- Candle color changes from green to red
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
3. **Stop Loss**: Placed near the low of the setup candle for buys, or near the high for sells.
4. **Take Profit**: Aimed at 1R (one times the range of the setup candle).
## Visual Elements
- **20 EMA**: Plotted as a blue line on the chart.
- **Buy Signals**: Green triangles below the candles.
- **Sell Signals**: Red triangles above the candles.
- **Stop Loss Levels**: Small red dots at the calculated stop loss prices.
- **Take Profit Levels**: Small green dots at the calculated take profit prices.
- **Information Table**: Displays current values for ATR, strong bar condition and volume condition.
## Usage Notes
1. This indicator is designed for manual trading, not automated execution.
2. It works best when combined with analysis of major trend lines, support, and resistance levels.
3. Exercise caution with very large setup candles.
4. Consider additional filters or money management rules for enhanced performance.
5. For higher timeframe bias validation, consider incorporating a 100-period break of structure (BOS) analysis.
## Customization
The indicator includes several input parameters that can be adjusted:
- EMA Length
- ATR Length and Threshold
- Volume Multiplier
- Strong Bar Percentage
Users can also toggle the visibility of stop loss and take profit markers.
Remember, while this indicator can identify potential setups, it should be used in conjunction with other forms of analysis and risk management strategies. Always consider the overall market context and your personal risk tolerance when making trading decisions.
Gold Option Signals with EMA and RSIIndicators:
Exponential Moving Averages (EMAs): Faster to respond to recent price changes compared to simple moving averages.
RSI: Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Signal Generation:
Buy Call Signal: Generated when the short EMA crosses above the long EMA and the RSI is not overbought (below 70).
Buy Put Signal: Generated when the short EMA crosses below the long EMA and the RSI is not oversold (above 30).
Plotting:
EMAs: Plotted on the chart to visualize trend directions.
Signals: Plotted as shapes on the chart where conditions are met.
RSI Background Color: Changes to red for overbought and green for oversold conditions.
Steps to Use:
Add the Script to TradingView:
Open TradingView, go to the Pine Script editor, paste the script, save it, and add it to your chart.
Interpret the Signals:
Buy Call Signal: Look for green labels below the price bars.
Buy Put Signal: Look for red labels above the price bars.
Customize Parameters:
Adjust the input parameters (e.g., lengths of EMAs, RSI levels) to better fit your trading strategy and market conditions.
Testing and Validation
To ensure that the script works as expected, you can test it on historical data and validate the signals against known price movements. Adjust the parameters if necessary to improve the accuracy of the signals.
Multi Exchange Relative Volume IndicatorThe Multi Exchange Relative Volume indicator is a powerful tool designed to visualize the relative volume across different exchanges. This is particularly useful for decentralized securities like forex and crypto, where volume data is spread across multiple markets. By aggregating volume data from various exchanges, this indicator helps traders identify trends, spot unusual volume spikes, and make informed trading decisions.
Key Features:
Multi-Exchange Volume Aggregation: Collects and sums the volume data from up to five different exchanges, offering a holistic view of the market activity.
Customizable Inputs: Easily select and configure up to five different exchanges of your choice to monitor their volume activity.
Relative Volume Visualization: Compares the aggregated volume against historical averages to highlight periods of high or low volume.
Color-Coded Volume Bars: Volume bars are color-coded based on the relative volume percentage, providing quick visual cues:
- Red for volume 1.0-1.5 times the average
- Orange for volume 1.5-2.0 times the average
- Green for volume 2.0-3.0 times the average
- Yellow for volume greater than 3.0 times the average
- Grey for below average volume
Dynamic Lookback Period: Adjust the lookback period to suit your trading style and timeframe, allowing for flexible analysis.
Exponential Moving Average (EMA): Includes an EMA of volume to smooth out short-term fluctuations and highlight longer-term trends.
Scalable Layout: The scaling factor allows you to zoom in or out, adjusting the visual representation of volume data to better fit your chart.
Usage:
Configure Exchanges: Select up to five exchanges you want to monitor from the input settings.
Set Lookback Period and Bars: Customize the lookback period and the number of bars to consider for calculating average volume.
Adjust Scaling: Use the scaling factor to zoom in or out on the volume data for better visualization.
Interpret Volume Bars: Analyze the color-coded volume bars to identify significant changes in volume and potential trading opportunities.
Monitor EMA: Use the EMA line to understand the trend and smooth out noise from the volume data.
The Multi Exchange Relative Volume indicator is an essential tool for traders who want to gain deeper insights into market activity across multiple exchanges. By visualizing relative volume, it helps in identifying potential breakout or breakdown points, enhancing your trading strategy.
RvB ( relative strength vs BTC ) Overview
The "Coin vs BTC" indicator is designed to compare the performance of a selected cryptocurrency against Bitcoin (BTC) using Exponential Moving Averages (EMAs). By plotting the difference in EMA values as a percentage, this indicator helps traders visualize the relative strength of a cryptocurrency compared to Bitcoin over specified periods.
How It Works
EMA Calculation: The indicator calculates two EMAs (lengths specified by the user) for both the selected cryptocurrency and Bitcoin (BTC).
Length 1: Fast EMA (default: 9)
Length 2: Slow EMA (default: 21)
Score Calculation:
For both the selected coin and Bitcoin, it computes a score representing the percentage difference between the fast and slow EMAs relative to the previous closing price. This is done using the following steps:
Calculate the difference between the fast and slow EMAs.
Compute the percentage of this difference relative to the previous closing price.
Round the percentage to two decimal places for clarity.
Plotting: The scores for both the selected cryptocurrency and Bitcoin are plotted on the same chart:
Coin Score: Displayed in blue.
BTC Score: Displayed in orange.
Potential Uses
Relative Strength Analysis:
This indicator helps traders compare the strength of a cryptocurrency against Bitcoin. A higher score for the selected coin compared to Bitcoin indicates it is performing better relative to its moving averages.
Trend Confirmation:
By observing the EMA differences, traders can confirm trends and potential reversals. Consistently higher scores may indicate a strong upward trend, while lower scores could suggest a weakening trend.
Market Comparison:
This tool is particularly useful for those looking to understand how their selected cryptocurrency is performing in the broader market context, especially in relation to Bitcoin, which is often considered a market benchmark.
GM-8 and ADX Strategy with Second EMADescription:
This TradingView script implements a trading strategy based on the Moving Average (GM-8), the Average Directional Index (ADX), and the second Exponential Moving Average (EMA). The strategy utilizes these indicators to identify potential buy and sell signals on the chart.
Indicators:
GM-8 (Moving Average 8): This indicator calculates the average price of the last 8 periods and is used to identify trends.
ADX (Average Directional Index): The ADX measures the strength of a trend and is used to determine whether the market is moving in a particular direction or not.
Second EMA (Exponential Moving Average): This is an additional EMA line with a period of 59, which is used to provide additional confirmation signals for the trend.
Trading Conditions:
Buy Condition: A buy signal is generated when the closing price is above the GM-8 and the second EMA, and the ADX value is above the specified threshold.
Sell Condition: A sell signal is generated when the closing price is below the GM-8 and the second EMA, and the ADX value is above the specified threshold.
Trading Logic:
If a buy condition is met, a long position is opened with a user-defined lot size.
If a sell condition is met, a short position is opened with the same user-defined lot size.
Positions are closed when the opposite conditions are met.
User Parameters:
Users can adjust the periods for the GM-8, the second EMA, and the ADX, as well as the threshold for the ADX and the lot size according to their preferences.
Note:
This script has been developed for use on a $100,000 account with FTMO, therefore the account size is set to $100,000. Please ensure that the strategy parameters and settings meet the requirements of your trading strategy and carefully review the results before committing real capital.
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Beschreibung:
Dieses TradingView-Skript implementiert eine Handelsstrategie, die auf dem gleitenden Mittelwert (GM-8), dem Average Directional Index (ADX) und der zweiten exponentiellen gleitenden Durchschnittslinie (EMA) basiert. Die Strategie verwendet diese Indikatoren, um potenzielle Kauf- und Verkaufssignale auf dem Chart zu identifizieren.
Indikatoren:
GM-8 (Gleitender Mittelwert 8): Dieser Indikator berechnet den Durchschnittspreis der letzten 8 Perioden und wird verwendet, um Trends zu identifizieren.
ADX (Average Directional Index): Der ADX misst die Stärke eines Trends und wird verwendet, um festzustellen, ob sich der Markt in eine bestimmte Richtung bewegt oder nicht.
Zweite EMA (Exponential Moving Average): Dies ist eine zusätzliche EMA-Linie mit einer Periode von 59, die verwendet wird, um zusätzliche Bestätigungssignale für den Trend zu liefern.
Handelsbedingungen:
Kaufbedingung: Es wird ein Kaufsignal generiert, wenn der Schlusskurs über dem GM-8 und der zweiten EMA liegt und der ADX-Wert über dem angegebenen Schwellenwert liegt.
Verkaufsbedingung: Es wird ein Verkaufssignal generiert, wenn der Schlusskurs unter dem GM-8 und der zweiten EMA liegt und der ADX-Wert über dem angegebenen Schwellenwert liegt.
Handelslogik:
Wenn eine Kaufbedingung erfüllt ist, wird eine Long-Position mit einer benutzerdefinierten Losgröße eröffnet.
Wenn eine Verkaufsbedingung erfüllt ist, wird eine Short-Position mit derselben benutzerdefinierten Losgröße eröffnet.
Positionen werden geschlossen, wenn die Gegenbedingungen erfüllt sind.
Benutzerparameter:
Benutzer können die Perioden für den GM-8, die zweite EMA und den ADX sowie den Schwellenwert für den ADX und die Losgröße nach ihren eigenen Präferenzen anpassen.
Hinweis:
Dieses Skript wurde für die Verwendung auf einem $100.000-Konto bei FTMO entwickelt, daher ist die Kontogröße auf $100.000 festgelegt. Bitte stellen Sie sicher, dass die Strategieparameter und -einstellungen den Anforderungen Ihrer Handelsstrategie entsprechen und dass Sie die Ergebnisse sorgfältig überprüfen, bevor Sie echtes Kapital einsetzen.
Inverted EMAThe concept of an inverted Exponential Moving Average (EMA) isn't commonly used in traditional technical analysis or trading strategies. Inverting the EMA essentially means taking the reciprocal of the EMA values. While it may not have widespread use or recognition, here are some potential considerations or interpretations for the inverted EMA:
1. **Inverse Trend Indicator:**
- Inverting the EMA might be considered as an alternative approach to trend analysis. When the inverted EMA is rising, it could suggest a potential bearish trend, and when it is falling, it might indicate a bullish trend. Traders might explore using this as a contrarian or unconventional trend indicator.
2. **Volatility Indicator:**
- The inverted EMA might be used as a measure of volatility. When the values are fluctuating rapidly, it could imply increased volatility in the underlying asset. This could be useful for traders who are interested in gauging market dynamics.
3. **Divergence Analysis:**
- Traders may explore divergences between price and the inverted EMA. For instance, if prices are making new highs, but the inverted EMA is not, it could signal potential weakness or divergence in the bullish trend.
4. **Inverse Moving Average Crossovers:**
- In the context of moving average crossovers, traders usually look for crossovers between shorter and longer EMAs as potential signals. Inverting this concept, crossovers between inverted short-term and long-term EMAs might be explored for unconventional trading signals.
5. **Systematic Exploration:**
- Traders and researchers sometimes experiment with unconventional indicators to discover new patterns or behaviors in the market. The inverted EMA could be part of systematic exploration to uncover unique insights that traditional indicators might not reveal.
It's important to note that the interpretation and use of the inverted EMA depend on the trader's strategy, risk tolerance, and specific market conditions. Traders should thoroughly backtest any strategy involving unconventional indicators and use them cautiously in live trading. Additionally, the effectiveness of the inverted EMA may vary across different financial instruments and timeframes.
PlayBit EMAPlayBit EMA Indicator
Introducing the PlayBit EMA, a highly esteemed technical analysis tool within the PlayBit Community and a personal favorite of Bitcoin Playboy. This indicator has cemented its place as a staple among traders for its simplicity and effectiveness.
Key Features:
PB EMA: Utilizes two Exponential Moving Averages (EMAs) to identify support and resistance zones and help identify potential reversal points.
Dynamic Fill Color:
The fill color will change based on if the closing price is above, below, or in between.
This indicator is not only a reflection of market dynamics but also an essential tool for traders looking to make informed decisions based on the relationship between price action and moving averages. Whether you're a seasoned trader or just starting out, the PlayBit EMA is an invaluable addition to your trading arsenal.
Micro Dots with VMA line [Crypto_Chili_]In the chart photo is a quick description of each part of the indicator is.
The Micro Dots were hours of testing different combinations of indicators and settings to find what looked and worked best. This is what I came up with, use it as a rough draft as it could probably be added to or changed around.
One simple way to use the indicator is if price is above VMA with green dots, look to long. If price is below VMA with red dots look to short.
Variable Moving Average - Also known as VMA or Track Line, is an Exponential Moving Average. VMA adjusts its smoothing constant on the basis of Market Volatility. This can help to measure the macro trend.
Micro Trend Dots - A Supertrend with extras filters. Supertrend is a trend-following indicator based on ATR (In this indicator TrueRange instead). The extra filters on top of the Supertrend help add confluence to them to give more confidence in the micro trend.
Credit to @LazyBear for the Variable Moving Average
Credit to @KivancOzbilgic for his Supertrend
Send me a message if you create something with the Micro Dots I'd love it see it!
Thank you friends I hope you enjoy!
No Signal is 100% correct at what it's trying to do. Use caution when trading!
Practice Risk Management.
ATR Trend Reversal Zone indicatorThis indicator helps avoid taking reversal trades too close to the 21 EMA, which may fail since the market often continues its trend after retracing from the 21 EMA level. It does not generate a direct signal for reversal trades but rather indicates points where you can consider potential reversal trades based on your trading methodology
This script defines an indicator that calculates the 21 Exponential Moving Average (EMA) and the Average True Range (ATR) for a given period. It then computes the distance between the most recent closing price and the 21 EMA in terms of ATR units. If this distance is equal to or greater than 3 ATRs, a small green circle is plotted below the corresponding bar on the chart, indicating a potential reversal condition.
Engulfing Signals
Okay, so we've got an indicator here that prints buy sell signals based on engulfing candles and uses a 200 EMA and RSI to filter out some of the noise.
This indicator incorporates price action, in the form of engulfing candles, moving averages and a momentum oscillator. It also has the of plotting either a Simple Moving Average or an Exponential Moving Average over varying periods in order to determine if price is respecting a certain level or to develop more accurately-timed alert signals. Engulfing candles can be a good indication of a change in sentiment and momentum.
Engulfing candles can be a good indication of a change in market behaviour but they happen far too often to be of any practical use by themselves.
In order to filter out some of the weaker candles, I have incorporated RSI into this script. The indicator will provide a BUY signal only when an engulfing candle prints and there is a reading of above 50 on the RSI, which is considered to reflect overall bullish sentiment. The signal is printed directly on the chart as a small green triangle just under the engulfing candle.
In contrast, the indicator will provide a SELL signal only when an engulfing candle prints and there is a reading of below 50 on the RSI, which is considered to reflect overall bearish sentiment. The signal is printed directly on the chart as a small red triangle just above the engulfing candle.
In order to maintain a clean chart and maximise the opportunity to couple this indicator up with other indicators that may increase the accuracy of the signals even further, the RSI will not be shown on the chart. However, to verify the accuracy of the signals please feel free to load the RSI indicator onto your chart and you will see that the signals only print according to the conditions described above.
In order to further filter out weaker signals I have made a rule that a buy signal should only print if it is above the 200 EMA and a sell signal only if the engulfing candle is below the 200 EMA. I use the 200 EMA because it is a commonly accepted indication of the general trend and to make the signals as accurate as possible we want to be trading with the longer trend, not against it.
The indicator will not print signals for engulfing candles outside of these parameters.
I suggest combining this indicator with a shorter moving average such as a 9, 14 or 20 perhaps. There is no need to add an additional indicator. You can do this directly in the settings menu. This unique feature allows you to study possible levels that price may or may not be respecting.
Alternatively, you could use the MACD to filter out some of the weaker signals, though bear in mind that the RSI is already doing that to some degree before the signal even prints.
To my knowledge there is no other indicator out there that combines these three concepts but, as you will see, doing so provides some high quality signals.
Logarithmic VolatilityIntroducing the Logarithmic Volatility Indicator , an innovative trading indicator designed especially for trading in low volatility markets. This powerful indicator is aimed at traders of all levels, from beginners to experts, and is based on fundamental concepts of mathematics and statistics applied to the financial market. Its main objective is to provide you with a better understanding of price movements and help you make more accurate investment decisions, especially in low volatility environments.
The purpose of this indicator is to find a volatility estimator that depends on the difference between High and Low, taking into account that this measure is directly proportional to volatility. A first result was obtained by Parkinson (1980) which was later improved by Garman and Klass (1980), who improved the estimator by obtaining one of minimum variance. It is the simplified version (and recommended by them) of the Garman and Klass estimator that is used to calculate the daily volatility of the asset.
The Logarithmic Volatility Indicator is a unique smoothing indicator that uses logarithms and volatility calculation of the opening, high, low and closing prices. It combines these elements to obtain an accurate representation of market volatility in situations where volatility is low.
Features
This indicator has several outstanding features designed to enhance your trading analysis in low volatility environments:
• Intraday Volatility Calculation: This innovative feature allows you to view market volatility levels in real time, providing a clear view of market fluctuations even when volatility is low.
• EMA (Exponential Moving Average) Multi Length: The indicator incorporates three different EMA lengths (Fast, Medium and Slow). This gives you a deeper and more detailed analysis of market volatility, allowing you to detect subtle changes in volatility and make more accurate predictions.
• Visual color change: The indicator uses a color change between green and red to facilitate quick interpretation of the market. Green indicates a decrease in volatility, while red indicates an increase in volatility. This feature helps you quickly identify changes in market dynamics even in periods of low volatility.
• Histogram display: In addition to the colors, the indicator can also be displayed as a histogram. This intuitive representation allows you to visually observe changes in volatility over time and detect emerging patterns or trends in markets with low volatility.
Settings
The Logarithmic Volatility Indicator allows you to customize various settings to suit your specific trading needs:
• Slow EMA length: you can select the length of the slow exponential moving average according to your preferences and trading strategies.
• Fast EMA length: Similarly, you can choose the length of the fast exponential moving average to suit your trading style.
• Average EMA length: In addition to the two EMA lengths above, this indicator offers a third EMA length for even more detailed analysis. This additional feature is especially useful when trading in markets with low volatility, as it allows you to capture subtle changes in market dynamics.
Trading
The Logarithmic Volatility Indicator is designed not only to provide you with essential information about market volatility, but also to give you clear indications on when to trade. Here's how you can use the indicator's colors to guide your trading decisions:
- Long Trading: When the fast EMA has a smaller value than the slow EMA, the indicator will change to green. This is a signal to enter a long trade. That is, you can consider buying at this point, as an increase in price is anticipated due to decreasing volatility. With volatility declining, there is a greater likelihood that the price will continue in the current direction rather than fluctuate erratically.
- b]Short Trading: On the other hand, when the fast EMA has a higher value than the slow EMA, the indicator will turn red. This is a signal to enter a short trade. In other words, you may consider selling at this point, as a decline in price is anticipated due to rising volatility. With volatility on the rise, there is a greater risk of steeper price fluctuations.
It is important to remember that, as with any indicator, the Logarithmic Volatility Indicator does not guarantee 100% success. You should always use this indicator in combination with other analytical tools and good risk management. This tool provides you with an overview of market volatility and can help you identify trading opportunities in low volatility markets, but the final decision on when and how to trade should always be based on your own analysis and judgment.
In conclusion, the Logarithmic Volatility Indicator is an essential trading tool that every trader should have in their arsenal, especially when facing low volatility markets. With its accurate volatility calculation and easy-to-understand visualization, it will help you improve your trading decisions and maximize your profits even in situations where price movements are less pronounced. Try it today and take advantage of its efficiency in low volatility environments!
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Presentamos el Indicador de Volatilidad Logarítmica , un innovador indicador de trading diseñado especialmente para operar en mercados con baja volatilidad. Este poderoso indicador está dirigido a traders de todos los niveles, desde principiantes hasta expertos, y se basa en conceptos fundamentales de matemáticas y estadísticas aplicadas al mercado financiero. Su objetivo principal es proporcionarte una mejor comprensión de los movimientos de precios y ayudarte a tomar decisiones de inversión más precisas, especialmente en entornos de baja volatilidad.
Con este indicador se pretende encontrar un estimador de la volatilidad que dependa de la diferencia entre el High y el Low, teniendo en cuenta que esta medida es directamente proporcional a la volatilidad. Un primer resultado fue obtenido por Parkinson (1980) que posteriormente fue mejorado por Garman y Klass (1980), que mejoraron el estimador obteniendo uno de varianza mínima. Es la versión simplificada (y recomendada por ellos mismos) del estimador de Garman y Klass la que se utiliza para calcular la volatilidad diaria del activo.
El Indicador de Volatilidad Logarítmica es un indicador de suavizado único que utiliza logaritmos y el cálculo de la volatilidad de los precios de apertura, máximo, mínimo y cierre. Combina estos elementos para obtener una representación precisa de la volatilidad del mercado en situaciones donde la volatilidad es baja.
Características
Este indicador cuenta con varias características sobresalientes diseñadas para mejorar tu análisis de trading en entornos de baja volatilidad:
• Cálculo de la volatilidad intradía: Esta función innovadora te permite ver los niveles de volatilidad del mercado en tiempo real, lo que brinda una visión clara de las fluctuaciones del mercado incluso cuando la volatilidad es baja.
• EMA (Exponential Moving Average) Multi Longitud: El indicador incorpora tres longitudes diferentes de EMA (Rápida, Media y Lenta). Esto te proporciona un análisis más profundo y detallado de la volatilidad del mercado, permitiéndote detectar cambios sutiles en la volatilidad y realizar predicciones más precisas.
• Cambio de color visual: El indicador utiliza un cambio de color entre verde y rojo para facilitar la interpretación rápida del mercado. El verde indica una disminución de la volatilidad, mientras que el rojo indica un aumento de la volatilidad. Esta característica te ayuda a identificar rápidamente cambios en la dinámica del mercado incluso en períodos de baja volatilidad.
• Visualización Histograma: Además de los colores, el indicador también se puede visualizar como un histograma. Esta representación intuitiva te permite observar de manera visual los cambios en la volatilidad a lo largo del tiempo y detectar patrones o tendencias emergentes en mercados con baja volatilidad.
Ajustes
El Indicador de Volatilidad Logarítmica te permite personalizar varios ajustes para adaptarlos a tus necesidades de trading específicas:
• Longitud de EMA lenta: Puedes seleccionar la longitud de la media móvil exponencial lenta según tus preferencias y estrategias de trading.
• Longitud de EMA rápida: De manera similar, puedes elegir la longitud de la media móvil exponencial rápida para ajustarla a tu estilo de trading.
• Longitud de EMA media: Además de las dos longitudes de EMA anteriores, este indicador ofrece una tercera longitud de EMA para un análisis aún más detallado. Esta característica adicional es especialmente útil cuando operas en mercados con baja volatilidad, ya que te permite capturar cambios sutiles en la dinámica del mercado.
Operativa
El Indicador de Volatilidad Logarítmica está diseñado no solo para brindarte información esencial sobre la volatilidad del mercado, sino también para ofrecerte indicaciones claras sobre cuándo operar. Aquí te explicamos cómo puedes utilizar los colores del indicador para guiar tus decisiones de trading:
• Operativa en Largo: Cuando la EMA rápida tiene un valor más pequeño que la EMA lenta, el indicador cambiará a color verde. Esta es una señal para entrar en una operación en largo. Es decir, puedes considerar comprar en este punto, ya que se anticipa un aumento en el precio debido a la disminución de la volatilidad. Con la volatilidad en descenso, existe una mayor probabilidad de que el precio continúe en la dirección actual en lugar de fluctuar erráticamente.
• Operativa en Corto: Por otro lado, cuando la EMA rápida tiene un valor mayor que la EMA lenta, el indicador se tornará rojo. Esta es una señal para entrar en una operación en corto. En otras palabras, puedes considerar vender en este punto, ya que se anticipa una disminución en el precio debido al aumento de la volatilidad. Con la volatilidad en ascenso, existe un mayor riesgo de fluctuaciones de precio más pronunciadas.
Es importante recordar que, como con cualquier indicador, el Indicador de Volatilidad Logarítmica no garantiza un éxito del 100%. Siempre debes usar este indicador en combinación con otras herramientas de análisis y una buena gestión de riesgos. Esta herramienta te proporciona una visión general de la volatilidad del mercado y puede ayudarte a identificar oportunidades de trading en mercados con baja volatilidad, pero la decisión final de cuándo y cómo operar siempre deberá basarse en tu propio análisis y juicio.
En conclusión, el Indicador de Volatilidad Logarítmica es una herramienta de trading esencial que todo trader debe tener en su arsenal, especialmente cuando se enfrenta a mercados con baja volatilidad. Con su cálculo preciso de la volatilidad y su visualización fácil de entender, te ayudará a mejorar tus decisiones de trading y a maximizar tus ganancias incluso en situaciones donde los movimientos de precios son menos pronunciados. ¡Pruébalo hoy mismo y aprovecha su eficiencia en entornos de baja volatilidad!
