Smoother Momentum Stops [Loxx]Smoother Momentum Stops (SMS) is a dynamic tool that combines the logic of momentum and moving averages to create an overlay of the market price and generate potential trade signals. The original idea for this indicator comes from the beloved and esteemed trading indicator guru Mladen Rakic.
Understanding the Framework
The SMS incorporates various aspects of technical analysis, including momentum calculation, several types of moving averages, and an intelligent stop-and-reverse system that determines when to enter and exit trades.
The indicator initiates by defining the color scheme for visualization, specifically green for bullish trends and red for bearish trends. It further utilizes the 'smmom' and 'fema' functions to calculate smoothed momentum and fast exponential moving averages, respectively. The values computed by these functions are central to the signal generation process.
Momentum Calculation
The 'smmom' function serves to calculate a smoother momentum by taking a source (such as the closing price) and a period as inputs. This function employs a complex algorithm involving exponential moving averages (EMA), wherein two EMAs are calculated with different smoothing factors, and the difference between the two results is returned as the output. This smooth momentum calculation assists in eliminating unnecessary noise from the market and delivers more reliable momentum readings.
Moving Averages Computation
One key feature of the SMS is the ability to select from five different moving average types: Exponential Moving Average (EMA), Fast Exponential Moving Average (FEMA), Linear Weighted Moving Average (LWMA), Simple Moving Average (SMA), and Smoothed Moving Average (SMMA). The 'variant' function assigns the chosen method to the '_avg' variable, which is then used in the trade signal logic.
Trade Signal Generation
SMS employs a complex yet robust mechanism for generating trade signals. A stop-and-reverse system is established, which works on the principle of momentum. If the smoothed momentum is positive, an upper stop is determined and if the momentum is negative, a lower stop is defined.
The process continues by defining long and short entry conditions. The indicator goes long when an upper stop exists, and the previous bar had a lower stop, signifying a shift in momentum. The short entry condition is the opposite: the indicator goes short when a lower stop exists, and the previous bar had an upper stop. Alerts are generated for each of these conditions, helping traders to take timely action.
Visual Representation and UI Options
In terms of visual representation, the indicator plots upper and lower stops, employing green color for upper and red for lower stops. If the option to color bars is chosen, the entire bar is colored green or red, based on whether an upper or lower stop exists. This feature allows traders to visually comprehend market conditions better. Support and reisstance levels are also provided for visual context.
Conclusion
The Smoother Momentum Stops indicator is a potent tool for traders seeking to optimize their trading strategies. It blends the fundamentals of momentum and moving averages, resulting in a robust system that provides clear, reliable, and timely trading signals. By adjusting the smoothing type and period parameters, traders can customize the indicator to fit various market conditions and asset types, thereby adding a layer of flexibility to their trading strategies.
The use of a stop-and-reverse system adds a layer of risk management by offering precise entry and exit points based on momentum shifts. These stops are not just mere levels of entries or exits, but they reflect the undercurrent of the market's momentum, thus providing a dynamic framework to make informed trading decisions.
Additionally, the SMS indicator offers visual simplicity. The color-coded bars and distinct symbols for long and short positions make it easier for traders to interpret the signals and market direction quickly. Combined with the alert system, it ensures that traders never miss an important trading opportunity.
Finally, the power of the SMS indicator lies in its adaptability and comprehensive approach. By providing a selection of moving averages and an intelligent momentum-based system, it encapsulates various aspects of market behavior. As such, it is a useful tool not just for momentum traders, but for any trader who understands the significance of moving averages and momentum in predicting market movements.
In conclusion, the Smoother Momentum Stops indicator stands as an innovative, adaptable, and powerful tool for the modern trader. Its blend of flexibility, dynamic risk management, and straightforward visualization offer a comprehensive solution for traders looking to navigate the complex world of financial markets. With a detailed understanding of its workings as presented in this essay, traders can harness its full potential to optimize their strategies, manage risk, and achieve their trading objectives.
Центральные осцилляторы
Trend & Pullback Toolkit (Expo)█ Overview
The Trend & Pullback Trading Toolkit is an all-encompassing suite of tools designed for serious traders who want a comprehensive trend approach. It empowers traders to align their strategies with prevailing market trends, thereby mitigating risk while maximizing profit potential.
The Toolkit helps traders spot, analyze, and react to market trends, pullbacks, and significant trends. It combines multiple trading methodologies, such as the Elliott Wave theory, cyclical analysis, retracement analysis, strength analysis, volatility analysis, and pivot analysis, to provide a thorough understanding of the market. All these tools can help traders detect trends, pullbacks, and major shifts in the overall trend. By integrating different methodologies, this toolkit offers a multifaceted approach to analyzing market trends.
In essence, the Trend & Pullback Toolkit is the complete package for traders seeking to detect, evaluate, and act upon market trends and pullbacks while being prepared for major trend shifts.
The Trend & Pullback Toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features, but first, let us define what a cycle is:
█ What is a cycle
This involves the analysis of recurring patterns or events in the market that repeat over a specific period. Cycles can exist in various time frames and can be identified and analyzed with various tools, including some types of oscillators or time-based analysis methods.
Traders must also be aware that cycles do not always repeat perfectly and can often shift, evolve, or disappear entirely.
█ Features & How They Work
Elliott Wave Cycles: This is a method of technical analysis that traders use to analyze financial market cycles and forecast market trends. Elliott Wave theory asserts that markets move in repetitive cycles, which traders can analyze to predict future price movement. The core principle behind the theory is that market prices alternate between an impulsive, or driving phase, and a corrective phase on all time scales of trend. This pattern forms a fractal, meaning it's a self-similar pattern that repeats regardless of the degree or size of the waves.
The Elliott Wave Cycle Feature uses the principle of the Elliott Wave to identify trends and pullbacks in real-time.
Ratio Wave Cycle: This method elaborates on the concept of how negative volatility, or the degree of variation in the negative returns of a financial instrument, influences the effectiveness of a relative price move. Essentially, it delves into the relationship between the negative fluctuations in the market and the resulting relative price change, exploring how the two aspects interact with each other.
The central concept is that trends are generally more stable and predictable than rapid retracements. Therefore, the indicator calculates the relationship between these two market movements. By doing so, it establishes a trend-based identification system. This system aids in forecasting future market movements, allowing traders to make informed decisions based on these predictions. Essentially, it uses the calculated relationship to discern the overall direction (trend) of the market despite temporary counter-movements (retracements), thereby providing a more robust trading signal.
Periodic Wave Cycle: Thi refers to patterns or events in price action that recur over a specific time period. Periodic cycles can range from short-term intraday cycles (like the tendency for stock market volatility to be high at the opening and close of trading) to long-term cycles trend cycles. Traders use this to predict future price movements and trends.
By identifying the phases of a cycle, traders can predict key turning points in the market.
Retracement Cycles: Retracements are temporary price reversals that occur within a larger trend. These retracements are a common occurrence in all markets and timeframes, representing a pause or counter-move within a larger prevailing trend. Retracements can be driven by a variety of factors, including profit-taking, market uncertainty, or a change in market fundamentals. Despite these periodic reversals, the overall trend (upwards or downwards) often continues after the retracement is complete.
Fibonacci retracement functions are primarily used to identify potential retracement levels.
Volatility Cycle: A volatility cycle refers to the periodic changes in the degree of dispersion or variability of a security's returns, expressed as a standard deviation or variance. This feature uses both measures.
Strength Cycle: Gauges the power of a market trend and its inherent impulses. This feature offers a broad perspective on the cyclical nature of markets, which alternate between periods of strength, often referred to as bull markets, and periods of weakness, known as bear markets. It effectively tracks the direction, intensity, and cyclic patterns of market behavior.
Let us define the difference between strength and impulse:
Strength: This refers to the power or force behind a price move. In trading, this refers to the momentum or volume supporting a price move.
Impulse: In the context of trading, an impulse usually refers to a strong move in price. Impulse moves are typically followed by corrective moves against the trend.
Pivot Cycles: Pivot cycles refer to the observation of recurring price patterns or turning points in the market. Pivots can be defined as significant highs or lows that act as potential reversal or support/resistance points. Pivot point analysis helps traders understand the prevailing market sentiment. Overall, pivot cycles provide traders with a framework to identify potential market turning points and price levels of interest.
█ How to use the Trend & Pullback Toolkit
Elliott Wave Cycles
Ratio Wave Cycle
Periodic Wave Cycle
Retracement Cycles
Volatility Cycle:
Strength Cycle
Pivot Cycles
█ Why is this Trend & Pullback Toolkit Needed?
The core philosophy of this toolkit revolves around the popular adage in trading circles: "The trend is your friend." This toolkit ensures that you are always in sync with the trend, thereby increasing the chances of successful trades.
Here's an overview of the key benefits:
Trend Identification: The toolkit includes sophisticated algorithms and indicators that help identify the prevailing trend in the market. These algorithms analyze price patterns, momentum, volume, and other factors to determine the direction and strength of the trend.
Risk Reduction: By enabling traders to trade with the trend, this toolkit reduces the risk of betting against market momentum.
Profit Maximization: Trading with the trend increases the likelihood of successful trades.
Advanced Analysis Tools: The toolkit includes tools that provide a deeper insight into market dynamics. These tools enable a multi-dimensional analysis of market trends, from Elliott Wave cycles and period cycles to retracement cycles, ratio wave cycles, pivot cycles, and strength cycles.
User-friendly Interface: Despite its sophistication, the toolkit is designed with user-friendliness in mind. It allows for customization and presents data in easy-to-understand formats.
Versatility: The toolkit is versatile and can be used across different markets - stocks, forex, commodities, and cryptocurrencies. This makes it a valuable resource for all types of traders.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ In conclusion, The Trading Toolkit is a powerful ally for any trader, offering the capabilities to navigate the complexities of the market with ease. Whether you're a novice or an experienced trader, this toolkit provides a structured and systematic approach to trading.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Parabolic SAR + EMA 200 + MACD SignalsParabolic SAR + EMA 200 + MACD Signals Indicator, a powerful tool designed to help traders identify optimal entry points in the market.
This indicator combines three popular technical indicators: Parabolic SAR (Stop and Reverse), EMA200 (Exponential Moving Average 200) and MACD (Moving Average Convergence Divergence) - to provide clear and concise buy and sell signals based on market trends.
The MACD component of this indicator calculates the difference between two exponentially smoothed moving averages, providing insight into the trend strength of the market. The Parabolic SAR component helps identify potential price reversals, while the EMA200 acts as a key level of support and resistance, providing additional confirmation of the overall trend direction.
Whether you're a seasoned trader or just starting out, the MACD-Parabolic SAR-EMA200 Indicator is a must-have tool for anyone looking to improve their trading strategy and maximize profits in today's dynamic markets.
Buy conditions
The price should be above the EMA 200
Parabolic SAR should show an upward trend
MACD Delta should be positive
ُSell conditions
The price should be below the EMA 200
Parabolic SAR should show an downward trend
MACD Delta should be negative
TRADE WITH MACDThis indicator is used to identify the trend through the background color and by using the MACD indicator information and summarizing the moving average information and identifying the trend through the integration of information and then warning the fall and growth of the price of Bitcoin relative to the successful entry into any transaction by the trader. it helps
Some features of this indicator:
- The table draws the time frames in the desired time period quickly and accurately
- Identifying and inserting ascending and descending trends
- View the chart of five moving averages (9, 20, 50, 100, 200) at the same time
- Draw charts automatically or draw a chart with the desired interval length and desired start time
- Automatic updating of price data charts
- Changing the background color and warning in separate time frames from the current time frame as desired by the trader
Oscillator Toolkit (Expo)█ Overview
The Oscillators Toolkit stands at the forefront of technical trading tools, offering a comprehensive suite of sophisticated, adaptive, and unique oscillators. This toolkit has been thoughtfully designed to cater to all trading styles, ensuring versatility and utility for every trader. The toolkit features our flagship oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and Bellcurves. Furthermore, it offers many great features such as trend recognition, market impulses, and trend changes; all consolidated into a single, easy-to-use indicator.
Access to these high-quality oscillators and tools can elevate your trading strategy, providing you with insightful market analysis and potential trading opportunities. In addition, these tools help traders and investors to identify and interpret various market trends, momentum, and volatility patterns more efficiently.
The Oscillator toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features:
█ Oscillators
WaveTrend Momentum
The WaveTrend Momentum oscillator is a significant component of the toolkit. It factors in both the direction and the momentum of market trends. The waves within this system are both quick and responsive, operating independently to offer the most pertinent insights at the most opportune moments. Their rapid response time ensures that traders receive timely information, which is essential in the fast-paced, dynamic world of trading.
Example of how to use the WaveTrend Momentum Oscialltor
The WaveTrend Momentum is proficient at identifying trend reversals and pullbacks, allowing traders to enter or exit trades at optimal moments.
Leading RSI
The Leading Relative Strength Index (RSI) is a type of momentum oscillator that is commonly used in technical analysis to predict price movements. As the name suggests, it is an advanced form of the traditional Relative Strength Index (RSI), and it provides traders with more timely signals for market entries and exits.
The Leading RSI works on similar principles but is designed to provide signals ahead of the traditional RSI. This is achieved through more advanced mathematical modeling and calculations, which aim to identify shifts in market momentum before they happen. It takes into account not only the current price action but also considers historical data in a way that can foresee changes in trend directions.
Example of how to use the Leading RSI
The Leading RSI is an enhanced version of the traditional Relative Strength Index, offering more timely indications of divergences and overbought or oversold market conditions.
Momentum Oscillator
This oscillator measures the amount that a security's price has changed over a given time span. It is an excellent tool for understanding the strength of a trend and its potential endurance. When the momentum oscillator rises, it suggests that the price is moving upwards and vice versa.
The Momentum Oscillator is an advanced technical analysis tool that helps traders identify the rate of change or the momentum of the market. It is typically used to determine the strength or speed at which the price of an asset increases or decreases for a set of returns. This oscillator is considered 'fast-moving' and 'sensitive' because it responds quickly to changes in price momentum. The fast-moving nature of this oscillator helps traders to get early signals for potential market entry or exit points.
The Momentum Oscillator analyzes the current price compared to the previous price and adds two additional layers of analysis: 'Buy & Sell moves' and 'Extremes.'
Buy & Sell Moves: This layer of the oscillator helps identify the buying and selling pressure in the market. This can provide traders with valuable information about the possible direction of future price moves. When there is high buying pressure (demand), the price tends to rise, and when there is high selling pressure (supply), the price tends to fall.
Extremes: This layer helps to identify extreme overbought or oversold conditions. When the oscillator enters the overbought territory, it could indicate that the price is at a high and could potentially reverse. Conversely, if the oscillator enters the oversold territory, it could suggest that the price is at a low and could potentially rebound.
Example of how to use the Momentum Oscillator
The Momentum Oscillator is a sensitive and fast-moving oscillator that adapts quickly to price changes while keeping track of the long-term momentum, making it easier to spot buying or selling opportunities in trends.
Bellcurves
The Bellcurves indicator is a powerful tool for traders that uses statistical analysis to help identify potential market reversals and key support and resistance levels by leveraging the principles of statistical analysis to measure market impulses. The concept behind this tool is the normal distribution, also known as the bell curve, which is a fundamental statistical concept signifying that data tends to cluster around the average or mean value. The "impulses" in the market context refer to significant price movements driven by a high volume of trading activity. These are typically sharp and swift moves either upwards (bullish impulse) or downwards (bearish impulse). These impulses often signify a strong sentiment in the market and can result at the beginning of a new trend or the continuation of an existing one.
In effect, the Bellcurve indicator is designed to filter out minor price fluctuations or 'noise,' allowing traders to focus solely on significant market impulses. This makes it easier for traders to identify key market movements.
Example of how to use the Bellcurve
The Bellcurves uses the principles of statistical analysis to identify significant market impulses and potential market reversals.
█ Why is this Oscillator Toolkit Needed?
The Oscillator Toolkit is a vital asset for traders for several reasons:
Insight into Market Trends: The Oscillator Toolkit provides valuable insight into current market trends. This includes understanding whether the market is bullish (rising) or bearish (falling), as well as identifying potential future price movements.
Identification of Overbought or Oversold Conditions: Oscillators like those in the toolkit can help traders identify when an asset is overbought (potentially overvalued) or oversold (potentially undervalued). This can signal potential market reversals.
Confirmation of Price Patterns: The oscillators in the toolkit can confirm price patterns and trends. For example, if a price pattern suggests a bullish trend, an oscillator can help confirm this by showing rising momentum.
Versatility Across Markets and Timeframes: The Oscillator Toolkit is designed to work across a variety of markets, including stocks, forex, commodities, and cryptocurrencies. It's also effective across different timeframes, from short-term day trading to longer-term investment strategies.
Timely Trade Signals: By providing real-time insights into market conditions and price momentum, the Oscillator Toolkit offers timely signals for trade entries and exits.
Enhancing Trading Strategy: Every trader has a unique approach to the market. The Oscillator Toolkit, with its suite of different oscillators, provides a robust set of tools that can be customized to enhance any trading strategy, whether it's a trend following, swing trading, scalping, or any other approach.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ How are the Oscillators calculated? - Overview
The Toolkit combines many of our existing premium indicators and new technical analysis algorithms to analyze the market. This overview covers how the main features are calculated.
WaveTrend Momentum
The WaveTrend Momentum oscillator operates at its core by comparing the current price to previous prices. If the current price is higher than the previous price, the oscillator value will rise, indicating an uptrend. Conversely, if the current price is lower than the previous price, the oscillator value will fall, indicating a downtrend. To make it unique and useful normalized weighting functions are added.
Leading RSI
The Leading RSI is based on the traditional Relative Strength Index, with an added exploration function that takes into account historical price movements.
Momentum Oscillator
The Momentum oscillator measures how quickly the price is changing, on average, over a certain period, relative to the variability of the price over that same period. It gives higher values when the price is changing rapidly in one direction and lower values when the price is fluctuating or changing more slowly. In addition, other functions, such as market extremes and buying/selling pressure, are factored in.
Bellcurves
The Bellcurves assume that some common historical price data is normally distributed, and once these patterns or moves are found the in the price data, a Bellcurve is formed.
█ In conclusion , the Oscillator Toolkit is an advanced, versatile, and indispensable asset for traders across various markets and timeframes. This innovative collection includes different oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and the Bellcurves Indicator, each serving a unique function in providing valuable insights into the market's behavior.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
MACD Normalized [ChartPrime]Overview of MACD Normalized Indicator
The MACD Normalized indicator, serves as an asset for traders seeking to harness the power of the moving average convergence divergence (MACD) combined with the advantages of the stochastic oscillator. This novel indicator introduces a normalized MACD, offering a potentially enhanced flexibility and adaptability to numerous market conditions and trading techniques.
This indicator stands out by normalizing the MACD to its average high and average low, also factoring in the deviation of the high-low position from the mean. This approach incorporates the high and low in the calculations, providing the benefits of stochastic without its common drawbacks, such as clipping problems. As a result, the indicator becomes exceptionally versatile and suitable for various trading strategies, including both faster and slower settings.
The MACD Normalized Indicator boasts a variety of options and settings. The features include:
Enable Ribbon: Toggle the display of the ribbon accompanying the MACD Normalized, as desired.
Fast Length: Determine the movement speed of the fast line to receive advance notice of potential market opportunities.
Slow Length: Control the movement pace of the slow line for smoother signals and a comprehensive outlook on market trends.
Average Length: Specify the length used to calculate the high and low averages, providing greater control over the indicator's granularity.
Upper Deviation: Establish the extent to which the high and low values deviate from the mean, ensuring adaptability to diverse market situations.
Inner Band (Middle Deviation): Adjust the balance between the high and low deviations to create an inner band signal, giving traders a secondary level of market analysis and decision-making support.
Enable Candle Color: Enable the coloring of candles based on the MACD Normalized value for effortless visualization of trading potential.
Use Cases for the MACD Normalized Indicator
In addition to analyzing market trends and identifying potential trading opportunities, ChartPrime's MACD Normalized Indicator offers a range of applications for traders. These use cases encompass distinct trading scenarios and strategies:
Overbought and Oversold Regions
One of the key applications of the MACD Normalized Indicator is identifying overbought and oversold regions. Overbought refers to a situation where an asset's price has risen significantly and is expected to face a downturn, while oversold indicates a price drop that may subsequently lead to a reversal.
By adjusting the indicator's parameters, such as the upper and inner deviation levels, traders can set precise boundaries to determine overbought and oversold areas. When the MACD moves into the upper region, it may signal that the asset is overbought and due for a price correction. Conversely, if the MACD enters the lower region, it possibly indicates an oversold condition with the potential for a price rebound.
Signal Line Crossovers
The MACD Normalized Indicator displays two lines: the fast line and the slow line (inner band). A common trading strategy involves observing the intersection of these two lines, known as a crossover. When the fast line crosses above the slow line, it may signify a bullish trend or a potential buying opportunity. Conversely, a crossover with the fast line moving below the slow line typically indicates a bearish trend or a selling opportunity.
Divergence and Convergence
Divergence occurs when the price movement of an asset does not align with the corresponding MACD values. If the price establishes a new high while the MACD fails to do the same, a bearish divergence emerges, suggesting a potential downtrend. Similarly, a bullish divergence takes place when the price forms a new low but the MACD does not follow suit, hinting at an upcoming uptrend.
Convergence, on the other hand, is represented by the MACD lines moving closer together. This movement signifies a potential change in the trend, providing traders with a timely opportunity to enter or exit the market.
Combi CCICombi CCI (CCCI): A Comprehensive Multi-Timeframe Indicator
Combi CCI (CCCI) is a powerful indicator that combines the Commodity Channel Index (CCI) across multiple timeframes. The purpose of CCCI is to provide a holistic view of the CCI, as it often happens that the CCI reaches its minimum or maximum value while the price continues to move in the same direction.
Seamless Integration of Timeframes for Enhanced Analysis
By incorporating CCI readings from different timeframes, CCCI eliminates the need for constantly switching between charts. You can keep a lower timeframe chart open while simultaneously benefiting from the insights provided by CCCI based on a higher timeframe.
Flexible Settings to Tailor the Indicator
CCCI offers customizable settings to suit your trading preferences. You can choose three timeframes of your choice and assign weights to each timeframe. If you prefer to work with only two timeframes, you have the option to assign a weight of 0 to the third timeframe.
Weighting Factor: Determining Importance
The assigned weight for each timeframe is crucial in determining its significance in the CCCI calculation. While the weight can be any non-negative number, it is the relative weights that matter the most. A higher weight value indicates a greater importance placed on that specific timeframe in the CCCI analysis.
Utilizing CCCI as an Effective Tool
While CCCI can be used as a regular CCI indicator, such as identifying buying opportunities in the oversold range or selling opportunities in the overbought range, it is essential to note that CCCI is not intended to be used as a standalone indicator. To make informed trading decisions, it is highly recommended to seek confluence with other indicators and analyze the overall market context.
Indicator analysis
Furthermore, the CCCI indicator includes built-in analysis on top of the indicator data. You can choose from SMA, EMA, BB, or you have an option to turn this feature off by selecting None. This provides an additional layer of information on top of the indicator data.
The indicator also includes automatic divergence detection. The data is correlated with the opened price chart, and bullish, bearish, both normal and hidden divergences are also visually displayed in the indicator area.
Banded Chikou Breakout — Quantifying Ichimoku MomentumTitle: Banded Chikou Breakout — Quantifying Ichimoku Momentum
Overview:
Banded Chikou Breakout (BCB) is a unique, algorithmic script designed to augment the capabilities of traders seeking substantial breakout opportunities. Constructed on the robust principles of the Ichimoku trading strategy, BCB is designed to quantify and filter the Chikou Span's significant breakouts above or below the price action. This script does not aim to replace the Ichimoku system; instead, it enhances it, providing an optimized tool for momentum trading.
Rationale:
Ichimoku traders often scrutinize the Chikou Span's position relative to price action to identify market trends. However, determining whether the Chikou Span is above or below due to a genuine trend or mere market noise can be challenging in choppy markets. BCB resolves this predicament by offering a unique way to interpret the Chikou Span's movement. It does so by quantifying the Chikou Span's momentum and utilizing Bollinger Bands to determine its significance. By effectively differentiating substantial movements from the insignificant, BCB can help traders better navigate the market and increase their potential for profitable trades.
How it Works:
BCB combines three key elements: a Momentum Script (simulating Chikou Span), a Bollinger Band Script, and a Timeframe Switcher, all working together to provide a refined trading perspective.
Momentum Script: Calculates the price difference between the current price and the price 'n' periods ago, transforming the Chikou Span into a quantifiable momentum value that signifies the strength and speed of a market move.
Bollinger Band Script: Computes a Simple Moving Average (SMA) around the momentum, plotting two 'bands' at a specified standard deviation from this SMA. This functionality allows traders to discern when the Chikou Span's momentum is abnormally high or low, signifying a potential significant breakout.
Timeframe Switcher: This feature lets traders apply the BCB script to a different timeframe from the one they are currently viewing. This capability can help traders identify higher timeframe breakouts and trade them with precision on the lower timeframe.
How to Use:
BCB is designed to complement the Ichimoku strategy for effective breakout identification.
Add the BCB script to your trading chart. It plots the momentum (yellow line) and Bollinger Bands (green lines) with the area between the bands shaded blue.
Utilize the Ichimoku strategy to identify larger and smaller timeframe trends.
Optional: Leverage the timeframe switcher to synchronize your trades with higher timeframe trends while operating on lower timeframes.
If the BCB momentum line crosses the upper Bollinger Band while the Ichimoku indicates a bullish trend, it signifies a potential significant upward breakout. Similarly, a cross below the lower band during a bearish trend could denote a significant downward breakout.
Remember, without the context provided by the Ichimoku system's trend analysis, BCB can yield false breakouts. It is, therefore, crucial to use these tools in tandem. I like to check for an Ichimoku trend on the 4H and 1H charts, and then use BCB on charts <60 minutes to capture trends with precision.
RSI-CCI Fusion + AlertsThe "RSI-CCI Fusion" indicator combines the Relative Strength Index (RSI) and Commodity Channel Index (CCI) from TradingView.
RSI-CCI Fusion: Unlocking Synergies in Technical Analysis
Technical analysis plays a crucial role in understanding market dynamics and making informed trading decisions. I often rely on a combination of indicators to gain insights into price movements and identify potential trade opportunities. In the lines below, I will explore the "RSI-CCI Fusion" indicator, a powerful tool that combines the strengths of the Relative Strength Index (RSI) and the Commodity Channel Index (CCI) to provide enhanced trading insights.
1. Understanding the RSI and CCI Indicators
Before delving into the fusion of these indicators, let's briefly review their individual characteristics. The RSI is a widely used momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100, with readings above 70 indicating overbought conditions and readings below 30 indicating oversold conditions.
On the other hand, the CCI is a versatile indicator designed to identify cyclical trends in prices. It measures the distance between the price and its statistical average, thereby providing valuable insights into overbought and oversold levels.
2. The Concept of RSI-CCI Fusion
The RSI-CCI Fusion indicator is born out of my desire to harness the collective power of the RSI and CCI. By combining these indicators, I can benefit from a more comprehensive trading signal that captures both momentum and cyclical trend dynamics.
The fusion process involves assigning weights to the RSI and CCI, creating a blended indicator that reflects their relative importance. The weighted combination ensures that both indicators contribute meaningfully to the final result.
To maintain consistency, the RSI and CCI values are standardized using the z-score technique. This normalization process brings the values to a common scale, making them directly comparable. Rescaling is then applied to bring the combined indicator back to its original scale, facilitating intuitive interpretation.
3. Interpreting the RSI-CCI Fusion Indicator
When plotting the RSI-CCI Fusion indicator on a chart, I gain valuable insights into market dynamics and potential trading opportunities. The indicator's plot typically includes dynamic upper and lower bands, which are calculated based on the indicator's standard deviation. These bands provide boundaries for evaluating overbought and oversold conditions.
When the RSI-CCI Fusion indicator crosses above the lower band, it suggests oversold conditions and potential buying opportunities. Conversely, when the indicator crosses below the upper band, it indicates overbought conditions and potential selling opportunities. I also pay attention to the baseline, which represents the neutral level and may signal potential trend reversals.
4. Utilizing Alerts for Trading Decisions
The RSI-CCI Fusion indicator can be further enhanced by incorporating alerts. These alerts notify me when the indicator generates buy or sell signals, enabling me to take prompt action. I can customize the alerts based on my preferred thresholds and timeframes.
However, it is crucial to remember that the RSI-CCI Fusion indicator should not be relied upon in isolation. To increase the robustness of my trading decisions, it is recommended to combine the indicator with other analysis techniques such as trend lines, support and resistance levels, or additional indicators. This convergence of analysis methodologies enhances the overall accuracy of my trade signals.
Conclusion: The RSI-CCI Fusion indicator represents a compelling approach to technical analysis by synergizing the strengths of the RSI and CCI. By combining momentum and cyclical trend dynamics, I gain a more comprehensive view of market conditions. The fusion of these indicators, accompanied by timely alerts, equips me with valuable insights and facilitates well-informed trading decisions.
As with any technical analysis tool, it is essential for me to backtest the RSI-CCI Fusion indicator to evaluate its performance across different market conditions and timeframes. Additionally, applying proper risk management strategies is crucial to ensure consistent and disciplined trading practices.
GKD-C QQE of Polychromatic Momentum [Loxx]The Giga Kaleidoscope GKD-C QQE of Polychromatic Momentum is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ Giga Kaleidoscope GKD-C QQE of Polychromatic Momentum
The Quantitative Qualitative Estimation (QQE) of Polychromatic Momentum is a trading strategy used in financial markets. This technical indicator is designed to gauge the momentum and trend of a particular asset's price over a specific period. It helps investors identify potential buying and selling opportunities based on the changes in price momentum.
The algorithm operates by calculating the weighted momentum of the price changes over time, where more recent changes have a higher weight. It then smooths this momentum using a type of moving average, reducing the impact of short-term fluctuations and focusing more on longer-term momentum trends.
Additionally, the algorithm maintains two distinct trend lines based on different speeds of price changes: a slow and a fast trend. These trends, coupled with the smoothed momentum, provide potential signals for investors.
When the smoothed momentum crosses the fast trend line, it could be seen as an indication that the price is picking up speed and might be a good time to buy. On the other hand, when the smoothed momentum crosses the slow trend line, it might be seen as a signal that the price momentum is slowing, indicating a potential selling opportunity.
In essence, the QQE of Polychromatic Momentum is a comprehensive tool that combines weighted momentum calculation, trend analysis, and signal generation to aid investors in making more informed trading decisions.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Multi-Ticker Full GKD Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Precision Trendf as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
█ Connecting to Backtests
All GKD indicators are chained indicators meaning you export the value of the indicators to specialized backtest to creat your GKD trading system. Each indicator contains a proprietary signal generation algo that will only work with GKD backtests. You can find these backtests using the links below.
GKD-BT Giga Confirmation Stack Backtest
GKD-BT Giga Stacks Backtest
GKD-BT Full Giga Kaleidoscope Backtest
GKD-BT Solo Confirmation Super Complex Backtest
GKD-BT Solo Confirmation Complex Backtest
GKD-BT Solo Confirmation Simple Backtest
GKD-M Baseline Optimizer
GKD-M Accuracy Alchemist
GKD-BT Multi-Ticker SCC Backtest
GKD-BT Multi-Ticker SCS Backtest
GKD-BT Multi-Ticker SCS Backtest
GKD-C GKD-BT Multi-Ticker Full GKD Backtest
Ultimate Balance OscillatorIntroducing the Ultimate Balance Oscillator: A Powerful Trading Indicator
Built upon the renowned Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this indicator equips traders with an unparalleled understanding of market dynamics.
What sets the Ultimate Balance Oscillator apart is its meticulous approach to weighting. Each component is assigned a weight that reflects its individual significance, while carefully mitigating the influence of highly correlated signals. This strategic weighting methodology ensures an unbiased and comprehensive representation of market sentiment, eliminating dominance by any single indicator.
Key Features and Benefits:
1. Comprehensive Market Analysis: The Ultimate Balance Oscillator provides a comprehensive view of market conditions, enabling traders to discern price trends, evaluate momentum shifts, identify overbought or oversold levels, and gauge the strength of prevailing trends. This holistic perspective empowers traders to make well-informed decisions based on a thorough understanding of the market.
2. Enhanced Signal Accuracy: With its refined weighting approach, the Ultimate Balance Oscillator filters out noise and emphasizes the most relevant information. This results in heightened signal accuracy, providing traders with a distinct advantage in identifying optimal entry and exit points. Say goodbye to unreliable signals and welcome a more precise and dependable trading experience.
3. Adaptability to Various Trading Scenarios: The Ultimate Balance Oscillator transcends the constraints of specific markets or timeframes. It seamlessly adapts to diverse trading scenarios, accommodating both short-term trades and long-term investments. Traders can customize this indicator to suit their preferred trading style and effortlessly navigate ever-changing market conditions.
4. Simplicity and Ease of Use: The Ultimate Balance Oscillator simplifies trading analysis by providing a single line on the chart. Its straightforward interpretation and seamless integration into trading strategies make decision-making effortless. By observing bullish or bearish crossovers with the moving average, recognizing overbought or oversold levels, and tracking the overall trend of the oscillator, traders can make well-informed decisions with confidence.
5. Real-time Alerts: Stay ahead of the game with the Ultimate Balance Oscillator's customizable alert system. Traders can set up personalized alerts for bullish or bearish crossovers, breaches of overbought or oversold thresholds, or any specific events that align with their trading strategy. Real-time notifications enable timely action, ensuring traders never miss lucrative trading opportunities.
The Ultimate Balance Oscillator is a robust trading companion, empowering traders to make shrewd and calculated decisions. Embrace its power and elevate your trading endeavors to new heights of precision and success. Discover the potential of the Ultimate Balance Oscillator and unlock a world of trading possibilities.
David Varadi Intermediate OscillatorThe David Varadi Intermediate Oscillator (DVI) is a composite momentum oscillator designed to generate trading signals based on two key factors: the magnitude of returns over different time windows and the stretch, which measures the relative number of up versus down days. By combining these factors, the DVI aims to provide a reliable and objective assessment of market trends and momentum.
Methodology:
To calculate the DVI, a specific formula is applied. The magnitude component involves averaging smoothed returns over various lengths, weighted according to user-defined parameters. This calculation helps determine the magnitude of price changes. The stretch component follows a similar process, averaging smoothed returns over different lengths to gauge market momentum. Users have the flexibility to adjust the weights and lengths to suit their trading preferences and styles.
Utility:
The DVI offers versatility in its applications. It can be used for both momentum trading and trend analysis due to its smooth and consistent signals. Unlike some other oscillators, the DVI provides longer and uncorrelated signals, allowing traders to effectively combine trend-following and mean-reversion strategies. For example, the DVI is adept at identifying overbought levels above the 200-day moving average, serving as a useful tool for determining exit points during price strength and even potential shorting opportunities. Traders can develop simple trading systems based on the DVI, buying above the 200-day moving average and selling when the DVI exceeds a specified threshold. Conversely, they can consider short positions below the 200-day moving average and cover when the DVI falls below a specific threshold. The DVI's objective approach to analyzing market momentum makes it a valuable resource for traders seeking to identify trading opportunities.
Key Features:
Bar coloring: based on Trend, Extremeties or Reversions
Reversions: Potential reversal points marked with triangles above\below oscillator
Extremity Hues: Highlighting oxcillator reaching traditional OB\OS levels
Example Charts:
Sessions[Lenny Kiruthu]The script below is designed to show up to 4 different trading sessions i.e. London, New York, Tokyo and Sydney sessions, it also displays the days each session is taking place in as well as two horizontal lines one for the previous days high and the other for the previous days low.
It also displays a table that shows the user the highest and lowest price for 4 different currency pairs the previous day as well as their current prices and below it a confirmation row that shows whether price is currently above, below or within yesterdays range. Note that it only states "High Broken" or "Low Broken" if the current close is above or below the lines.
What you can change
Your time zone for example GMT -4 or GMT +3
The session start and end time
The colors, border type and border width of the session ranges
Displaying the table
Ability to choose the 4 symbols to view on the table
Market ReaderIntroducing a leading proprietary tool that integrates four distinct indicators, each redefined to eliminate noise and provide the most accurate signals. This tool is designed to leverage momentum for effective trading strategy development and decision-making.
Momentum Waves:
These waves highlight the short-term momentum in the market, offering insight into immediate market behavior. The strongest signals are observed from divergences between price and momentum waves and the 'Anchor-Trigger' strategy. The latter is characterized by a large momentum wave followed by progressively smaller waves, often signaling a potential shift in price trends.
Money Flow:
Authored by myself, this tailored indicator reflects the long-term trend by tracking whether money is flowing into or out of the asset. Observing the direction of the money flow and watching for crossovers can provide compelling signals for the initiation or culmination of a trend.
Dual RSI:
This tool incorporates two custom-adjusted RSIs to gauge the strength of the trend. When both RSIs align, it typically indicates a robust trend. When they diverge significantly, it suggests a weaker trend likely to revert to its mean soon.
Histogram:
histogram to identify 'momentum clips', bullish momentum with positive values and bearish momentum with negative values.
When all indicators align in one direction, the market price is highly likely to move in that direction. This makes the tool a leading indicator in predicting price movements.
Market Manipulation Detection:
This tool also incorporates an innovative algorithm that identifies sudden, significant changes in trading volume coinciding with price movements, indicating potential market manipulation. This feature helps traders exercise caution in volatile market conditions.
Oversold Crossover with Volume Confirmation (Yellow X and Downward Triangle):
These symbols are indicators of a potential top or bottom, but they are not standalone signals. They are most effective when used with divergence in the momentum waves as additional confirmation.
Blood Diamond: This is another significant feature in the tool. Blood Diamonds are major reversal signals that appear at market tops or bottoms, and they signal that a reversal in trend is likely.
Traders should avoid relying solely on one signal. Decisions should be based on a combination of several signals. Furthermore, different time frames should be examined for a broader market perspective. High time frames can identify the general trend, while lower time frames can offer precise entry points for trades.
While this tool provides various indications and insights, users are encouraged to use it as part of a broader, diversified trading strategy. Due to the unique combination of features and the proprietary nature of the algorithm, the source code is not publicly available.
This tool does not claim to guarantee profits but aims to provide traders with unique insights that can enhance their trading strategies.
TTP VIX SpyTTP VIX Spy is an indicator that uses data from TVC:VIX to better time entries in the market.
The assumption used is that when the VIX is coming down from the top of its range then the risk on assets can move to the upside and when the VIX is is pushing higher there's a high likelihood or risk on assets going down.
This indicator observes the momentum of VIX using MACD. It offers two different signals both for longs and shorts: signal 1 and 2.
Signal 1 is activate when the begging of a new trend for the VIX is confirmed.
Signal 2 is activated when the VIX pulls back from an extreme value.
You can configure the parameters of the internal super trend and the look back for the slope applied to price and RSIs.
The indicator offers the following filter parameters:
- Price RSI slope: it filters signals that have RSI slope pointing in the opposite direction of the signal.
- Counter trend: it filters signals that are not counter trending super trend.
- Wide BBW: it filters signals that happen when there hasn't been high price volatility
- Price slope: it filters signals when the price is not pointing in the direction of the signal (buy: up, sell: down)
- VIX RSI filter: it filters VIX RSI values overextended. MACD can be in the right range, but sometimes RSI contradicts it. By default is OFF since it can cause false negatives.
- Working days only: it filters signals that occur in the weekend.
The colours below the price action show how the VIX momentum is changing. Transitions from red into pink and then green show how the fear is fading which tends to lead to lead to bullish moves, and the opposite when the transitions are from green to red.
Performance and initial thoughts.
I have tried VIX Spy on both BINANCE:BTCUSDT.P and BINANCE:ETHUSDT.P and it seems to offer a decent win ratio. As you can see I had to add many filter to remove bad entries and left toggles available to decide which ones you want to use.
I tried the signal in the 4H, 1H and 15min with mixed results. I tend to incline for the results in the 1H.
VIX signal offers a backtestable stream and alerts both for signals 1 and 2.
Stochastic Distance Indicator [CC]The Stochastic Distance Indicator was created by Vitali Apirine (Stocks and Commodities Jun 2023 pgs 16-21), and this is a new method that measures the absolute distance between a price and its highest and lowest values over a long period. It uses the stochastic formula to create an oscillator using this distance value and smooths the value. Obviously, there is a lag in signals due to the lookback periods, but it does a good job of staying above the midline when the stock is in a strong uptrend and vice versa. Of course, I'm open to suggestions, but I'm deciding to create buy and sell signals based on comparing the unsmoothed and smoothed values. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
ADW - Volatility MapThe ADW - Volatility Map script is a tool for traders to measure and visualize the volatility of a specific asset. It uses both the Average True Range (ATR) and True Range (TR) values in combination with the Commodity Channel Index (CCI) to provide a comprehensive map of the market's volatility.
Average True Range (ATR) : ATR is a measure of market volatility. It measures the average of true price ranges over a time period. In this script, we use it to calculate the ATR-CCI which gives us a more precise measure of volatility.
True Range (TR) : TR is the greatest distance the price moved during a period. It is used in this script to calculate the TR-CCI, adding another level of detail to our volatility measurement.
Commodity Channel Index (CCI) : CCI is a versatile indicator that can be used to identify a new trend or warn of extreme conditions. We use it to scale and compare the ATR and TR values, hence providing a relative measure of volatility.
The script interprets the CCI values and provides four different conditions for both ATR and TR:
Is Low (CCI < 0)
Is High (CCI > 0)
Is Extremely Low (CCI <= -100)
Is Extremely High (CCI >= 100)
The interpretation of these conditions is displayed on the chart using colour highlighting. When the ATR or TR are low, high, extremely low, or extremely high, the script fills the chart accordingly.
In addition, the script has an option `awaitBarConfirmation` set at the beginning. If this is true, the script will only display indicators for fully formed bars, ensuring that the indicators you see are based on confirmed information.
Note: The colours for different conditions can be customized at the beginning of the script, allowing you to personalize the visual output to match your preferences.
This script is designed to provide a visually clear and immediate understanding of the market's volatility. Use it to enhance your decision-making process and adapt your trading strategy to the current market conditions.
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
Pearson's R Convergence DivergenceThis script calculates the convergence divergence and breakouts from the deviations for a fast and slow linear regression slope.
This can be used to predict major market moves before they happen.
For users familiar with MacD, the blue line is similar to the MacD line and the orange line the signal.
The difference is this is not a moving average comparison but a comparison between Pearson's R values.
-0.1 (positive direction)
0.1 (negative direction)
This is why the colors look inverse for a typical MacD.
How to use this:
The idea is that when both trends converge in the 0.8 or -0.8 range and you see a breakout cross occur on either line then the price has a high likelihood of reversing its current trend.
If you see a green cross it means the top of the linear regression for the 'fast' or 'slow' linear regression deviation was broken by the current price. This can signify that upward movement is coming soon.
On the flip side a red cross means the bottom of the linear regression for the 'fast' or 'slow' linear regression deviation was broken by the current price. This can signify that downward movement is coming soon.
These crosses mean a lot more if the pearson's R value is already maxed out near 0.8 or -0.8.
This indicator works because the more sure a trend becomes the more likely it is to break as more traders see the pattern.
The histogram colors do not mean much being 'red' or 'green', what you want to look for is when the histogram starts to approach the 0 mark. This signifies that both linear regression trends are about to reach their peak before reversing trend. So don't confuse this with how you might read the MacD even though it looks very similar. The histogram sloping towards the 0 line will give you a clue how long it might take before the reversal occurs .
Please PM me if you have any questions, and enjoy!
Fib top and bottom Hunter - No Repaint "Top and bottom Hunter" indicator combines two popular technical analysis tools, Fibonacci retracement levels and the Relative Strength Index (RSI), to identify potential trading opportunities in the market.
Fibonacci retracement levels are based on the Fibonacci sequence, a mathematical series where each number is the sum of the two preceding ones. In trading, Fibonacci retracement levels are used to identify potential support and resistance levels based on the recent price action. The indicator uses two Fibonacci levels, fib_0 and fib_1, which are typically set to 0.382 and 0.618, respectively. These levels represent common retracement ratios.
To calculate the Fibonacci levels, the indicator considers the highest and lowest prices within a specified range, typically the highest and lowest of the last two bars. It calculates the fib_range, which is the difference between the highest and lowest prices. Then, fib_level_0 and fib_level_1 are determined by subtracting the Fibonacci ratios from the highest price.
The RSI is a momentum oscillator that measures the speed and change of price movements. It helps identify overbought and oversold conditions in the market. The RSI parameters used in this indicator are rsi_length (length of the RSI calculation), rsi_overbought (upper threshold indicating overbought conditions), and rsi_oversold (lower threshold indicating oversold conditions). The RSI value is calculated based on the closing prices.
The indicator generates buy and sell signals based on specific conditions:
Buy Condition: A buy signal is triggered when the RSI crosses above the oversold level (rsi_oversold) and the closing price is higher than fib_level_1. This indicates a potential reversal or bounce from the Fibonacci support level.
Sell Condition: A sell signal is triggered when the RSI crosses below the overbought level (rsi_overbought) and the closing price is lower than fib_level_0. This suggests a potential reversal or pullback from the Fibonacci resistance level.
In summary, this indicator combines the power of Fibonacci retracement levels and the RSI to identify potential trading opportunities. It helps traders find confluence between the Fibonacci support or resistance levels and the RSI readings, indicating potential trend reversals or bounces. Traders can use this information to make informed decisions about entering or exiting positions in the market.
Feel free to change the settings for what works best for you and use this with other confluences. I personally use RSI overbought and oversold values as 80 and 20
Advanced Choppiness Indicator with CPMA"The Advanced Choppiness Indicator with CPMA is a technical analysis tool designed to assist traders in identifying choppy market conditions and determining trend direction. It combines two key components: the Choppiness Index and a Custom Price Moving Average (CPMA).
The Choppiness Index is calculated using the Average True Range (ATR), which measures market volatility. It compares the ATR to the highest high and lowest low over a specified period. A higher Choppiness Index value indicates choppier market conditions, while a lower value suggests smoother and more directional price movements.
The CPMA is a custom moving average that takes into account various price types, including the close, high, low, and other combinations. It calculates the average of these price types over a specific length. The CPMA provides a smoother trend line that can help identify support and resistance levels more accurately than traditional moving averages.
When using this indicator, pay attention to the following elements:
Yellow range boxes: These indicate choppy zones, where market conditions are characterized by low momentum and erratic price action. Avoid entering trades during these periods.
Histogram bars: Green bars suggest an uptrend, while red bars indicate a downtrend. These bars are based on the CPMA and can help confirm the prevailing trend direction.
CPMA angle: The angle of the CPMA line provides further insight into the trend. A positive angle indicates an uptrend, while a negative angle suggests a downtrend.
Choppiness thresholds: The indicator includes user-defined thresholds for choppiness. Values above the high threshold indicate high choppiness, while values below the low threshold suggest low choppiness.
Trade decisions: Consider the information provided by the indicator to make informed trading decisions. Avoid trading during choppy zones and consider entering trades in the direction of the prevailing trend.
Remember that the indicator's parameters, such as ATR length and CPMA length, can be adjusted to suit your trading preferences and timeframe. However, it's important to use this indicator in conjunction with other technical analysis tools and your trading strategy for comprehensive market analysis."
By combining the Choppiness Index, CPMA, and other visual cues, this indicator aims to help traders identify suitable trading conditions and make more informed decisions based on market trends and volatility.
MACD-AS MTF [JoseMetal]============
ENGLISH
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- Description:
This script is a modification of the Moving Average Convergence Divergence (MACD) of Thomas Aspray, and called as MACD-AS and you may get earlier signals than MACD.
On this (my version) you have several extra elements and customization.
Foremost (of course) you have the MACD-AS, which is the HISTOGRAM, also, it has a SIGNAL line (which smooths the MACD-AS), and finally, a higher timeframe oscillator based on one of the previous values (custom).
- Visuals, features, customization:
You can show/hide any of the components with a checkbox (MACD-AS, Signal and HTF Oscillator).
The timeframe for the higher timeframe oscillator is customizable, but by default is automatic and multiplies the chart timeframe by 3: 5m > 15m, 15m > 45m etc.
So we have the MACD-AS as a histogram, with 2 optional color schemes and custom transparency, it works similar to the original MACD, oscillating around the 0 level. Green colors (bull) if above 0, red (bear) below 0.
Smoothed MACD-AS makes the Signal line, going up (bull) shows green color, down (bear) red, changes from one to another also prints a colored dot. There's another feature which darkens the color when the momentum is losing strength, a strength filter input is available for that purpose but the default 0.5 works well.
The higher timeframe oscillator (it's called "oscillator" because you can pick if you want to show the MACD-AS or Signal line of the higher timeframe), is always shown as a line, colors work similar to the Signal line, but BLUE for bull and PINK for bear.
Finally, the background color just changes from green (bull) to red (bear) and vice versa if the Signal line is above or below the 0 line to show bull/bear trend too, this is slower than other indicator signals as well.
- Usage and recommendations:
You can use this script as default MACD, the difference is that you'll use the DOTs of the Signal line (when changing green to red and vice versa) as crossovers on the classic MACD.
You can also use the higher timeframe oscillator as a trend filter to not to trade against it, ex: if the HTF is bull, don't try to SHORT.
My favorite usage is to find DIVERGENCES with the MACD-AS (histogram) with the HTF MACD-AS histogram as well, having 2 confirmations, ex: 5m divergence + 15m divergence.
As always, suggestions are welcome.
Enjoy!
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ESPAÑOL
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- Descripción:
Este script es una modificación del Moving Average Convergence Divergence (MACD) de Thomas Aspray, y llamado como MACD-AS, se pueden obtener señales más tempranas que con el MACD.
En ésta (mi versión) tiene varios elementos adicionales y personalización.
En primer lugar (por supuesto) tienes el MACD-AS, que es el HISTOGRAMA, también, tiene una línea de SEÑAL (que suaviza el MACD-AS), y por último, un oscilador de marco de tiempo superior basado en uno de los valores anteriores (personalizado).
- Visuales, características, personalización:
Puedes mostrar/ocultar cualquiera de los componentes con un checkbox (MACD-AS, Señal y Oscilador HTF).
La temporalidad para el oscilador HTF es personalizable, pero por defecto es automático y multiplica la temporalidad del gráfico por 3: 5m > 15m, 15m > 45m etc.
El MACD-AS (histograma), con 2 esquemas de color opcionales y transparencia personalizada, funciona de forma similar al MACD original, oscilando alrededor del nivel 0. Colores verdes (alcista) si está por encima de 0, rojo (bajista) por debajo de 0.
El suavizado del MACD-AS hace la línea de señal, subiendo (alcista) muestra color verde, bajando (bajista) rojo, cambios de uno a otro también imprime un punto de color. Hay otra característica que oscurece el color cuando el impulso está perdiendo fuerza, una entrada de filtro de fuerza está disponible para ese propósito, pero el valor predeterminado 0,5 funciona bien.
El oscilador de temporalidad superior (se llama "oscilador" porque puedes elegir si quieres mostrar el MACD-AS o la línea de señal), siempre se muestra como una línea, los colores funcionan de forma similar a la línea de señal, pero AZUL para alcista y ROSA para bajista.
Por último, el color de fondo sólo cambia de verde (alcista) a rojo (bajista) y viceversa si la línea de señal está por encima o por debajo de la línea 0 para mostrar la tendencia alcista / bajista también, eso si, resulta más lento que otros avisos del indicador.
- Uso y recomendaciones:
Puedes usar este script como el MACD clásico, la diferencia es que usarán los PUNTOS de la línea de Señal (cuando cambie de verde a rojo y viceversa) como cruces en el MACD clásico.
También puedes usar el oscilador de mayor temporalidad como filtro de tendencia para no operar en contra de ella, ej: si el HTF es alcista, no intentes SHORTs.
Mi uso favorito es encontrar DIVERGENCIAS con el MACD-AS (histograma) y el HTF MACD-AS, teniendo 2 confirmaciones, ej: 5m divergencia + 15m divergencia.
Como siempre, las sugerencias son bienvenidas.
¡Que lo disfrutéis!
Color Changing MACDJapanese below / 日本語説明は下記
This indicator shows MACD with its colors changing based on trend strength.
The purpose of this indicator is to visually understand phases of trends, which are beginning, advancing and ending, measuring the range between MACD line and signal line.
Since MACD is originated from moving average, the range between MACD line and signal line gradually expands as trends progress while the range gets narrowed as trends come closer to the end. The indicator visualizes this characteristics.
The colors change as follows:
Green: In bullish trend, the range between MACD and signal gets expanded from previous candle, which indicates up trends continue
Purple: The range between MACD and signal gets narrowed from previous candle, which indicates trends gradually come to end.
Red: In bearish trend, the range between MACD and signal gets expanded from previous candle, which indicates down trends continue
See the chart below.
Features
Coloring
MACD line and signal line's colors change according to the logic above.
You can also fill the gap between MACD line and signal line with the same color changing logic as lines.
Signals
Golden cross and death cross signals can be displayed.
Alert
Alerts can be set when golden and death crosses occur.
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トレンドの強弱で色が変わるMACDのインジケーターです。トレンドが初期、進展期、終了期と移り変わる様子を視覚的に判断できることを目的に開発しています。
トレンドの強弱はMACDラインとシグナルラインの幅で判断します。
MACDは移動平均線を元にしたインジケーターであるため、トレンドが進展するにつれMACDラインとシグナルラインの幅は徐々に広がります。一方で、トレンドが終盤に差し掛かかるにつれ上記の幅は狭まります。インジケーターはこのMACDの特徴を色で可視化します。
色は以下の通り変化します。
緑:上昇トレンドにおいて、MACDラインとシグナルラインの幅が前のローソク足のそれよりも拡大している場合
=>トレンドの勢いが強まっていることを示唆
紫:MACDラインとシグナルラインの幅が前のローソク足のそれよりも縮小している場合
=>トレンドの勢いが弱まっていることを示唆
赤:下降トレンドにおいて、MACDラインとシグナルラインの幅が前のローソク足のそれよりも拡大している場合
=>トレンドの勢いが強まっていることを示唆
サンプルチャート
機能
色変更
上記のロジックでMACDとシグナルラインの色を変更します。また両ラインの間をラインと同じロジックで塗りつぶすことも可能です。
シグナル
ゴールデンクロスとデッドクロスでシグナルを表示
アラート
ゴールデンクロスとデッドクロスでアラートを設定可能
