Trend AngleThe "Trend Angle" indicator serves as a tool for traders to decipher market trends through a methodical lens. It quantifies the inclination of price movements within a specified timeframe, making it easy to understand current trend dynamics.
Conceptual Foundation:
Angle Measurement: The essence of the "Trend Angle" indicator is its ability to compute the angle between the price trajectory over a defined period and the horizontal axis. This is achieved through the calculation of the arctangent of the percentage price change, offering a straightforward measure of market directionality.
Smoothing Mechanisms: The indicator incorporates options for "Moving Average" and "Linear Regression" as smoothing mechanisms. This adaptability allows for refined trend analysis, catering to diverse market conditions and individual preferences.
Functional Versatility:
Source Adaptability: The indicator affords the flexibility to select the desired price source, enabling users to tailor the angle calculation to their analytical framework and other indicators.
Detrending Capability: With the detrending feature, the indicator allows for the subtraction of the smoothing line from the calculated angle, highlighting deviations from the main trend. This is particularly useful for identifying potential trend reversals or significant market shifts.
Customizable Period: The 'Length' parameter empowers traders to define the observation window for both the trend angle calculation and its smoothing, accommodating various trading horizons.
Visual Intuition: The optional colorization enhances interpretability, with the indicator's color shifting based on its relation to the smoothing line, thereby providing an immediate visual cue regarding the trend's direction.
Interpretative Results:
Market Flatness: An angle proximate to 0 suggests a flat market condition, indicating a lack of significant directional movement. This insight can be pivotal for traders in assessing market stagnation.
Trending Market: Conversely, a relatively high angle denotes a trending market, signifying strong directional momentum. This distinction is crucial for traders aiming to capitalize on trend-driven opportunities.
Analytical Nuance vs. Simplicity:
While the "Trend Angle" indicator is underpinned by mathematical principles, its utility lies in its simplicity and interpretative clarity. However, it is imperative to acknowledge that this tool should be employed as part of a comprehensive trading strategy , complemented by other analytical instruments for a holistic market analysis.
In essence, the "Trend Angle" indicator exemplifies the harmonization of simplicity and analytical rigor. Its design respects the complexity of market behaviors while offering straightforward, actionable insights, making it a valuable component in the arsenal of both seasoned and novice traders alike.
Trend
Kalman Filtered RSI Oscillator [BackQuant]Kalman Filtered RSI Oscillator
The Kalman Filtered RSI Oscillator is BackQuants new free indicator designed for traders seeking an advanced, empirical approach to trend detection and momentum analysis. By integrating the robustness of a Kalman filter with the adaptability of the Relative Strength Index (RSI), this tool offers a sophisticated method to capture market dynamics. This indicator is crafted to provide a clearer, more responsive insight into price trends and momentum shifts, enabling traders to make informed decisions in fast-moving markets.
Core Principles
Kalman Filter Dynamics:
At its core, the Kalman Filtered RSI Oscillator leverages the Kalman filter, renowned for its efficiency in predicting the state of linear dynamic systems amidst uncertainties. By applying it to the RSI calculation, the tool adeptly filters out market noise, offering a smoothed price source that forms the basis for more accurate momentum analysis. The inclusion of customizable parameters like process noise, measurement noise, and filter order allows traders to fine-tune the filter’s sensitivity to market changes, making it a versatile tool for various trading environments.
RSI Adaptation:
The RSI is a widely used momentum oscillator that measures the speed and change of price movements. By integrating the RSI with the Kalman filter, the oscillator not only identifies the prevailing trend but also provides a smoothed representation of momentum. This synergy enhances the indicator's ability to signal potential reversals and trend continuations with a higher degree of reliability.
Advanced Smoothing Techniques:
The indicator further offers an optional smoothing feature for the RSI, employing a selection of moving averages (HMA, THMA, EHMA, SMA, EMA, WMA, TEMA, VWMA) for traders seeking to reduce volatility and refine signal clarity. This advanced smoothing mechanism is pivotal for traders looking to mitigate the effects of short-term price fluctuations on the RSI's accuracy.
Empirical Significance:
Empirically, the Kalman Filtered RSI Oscillator stands out for its dynamic adjustment to market conditions. Unlike static indicators, the Kalman filter continuously updates its estimates based on incoming price data, making it inherently more responsive to new market information. This dynamic adaptation, combined with the RSI's momentum analysis, offers a powerful approach to understanding market trends and momentum with a depth not available in traditional indicators.
Trend Identification and Momentum Analysis:
Traders can use the Kalman Filtered RSI Oscillator to identify strong trends and momentum shifts. The color-coded RSI columns provide immediate visual cues on the market's direction and strength, aiding in quick decision-making.
Optimal for Various Market Conditions:
The flexibility in tuning the Kalman filter parameters makes this indicator suitable for a wide range of assets and market conditions, from volatile to stable markets. Traders can adjust the settings based on empirical testing to find the optimal configuration for their trading strategy.
Complementary to Other Analytical Tools:
While powerful on its own, the Kalman Filtered RSI Oscillator is best used in conjunction with other analytical tools and indicators. Combining it with volume analysis, price action patterns, or other trend-following indicators can provide a comprehensive view of the market, allowing for more nuanced and informed trading decisions.
The Kalman Filtered RSI Oscillator is a groundbreaking tool that marries empirical precision with advanced trend analysis techniques. Its innovative use of the Kalman filter to enhance the RSI's performance offers traders an unparalleled ability to navigate the complexities of modern financial markets. Whether you're a novice looking to refine your trading approach or a seasoned professional seeking advanced analytical tools, the Kalman Filtered RSI Oscillator represents a significant step forward in technical analysis capabilities.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
MTF TREND-PANEL-(AS)
0). INTRODUCTION: "MTF TREND-PANEL-(AS)" is a technical tool for traders who often perform multi-timeframe analysis.
This simple tool is meant for traders who wish to monitor and keep track of trend directions simultaneously on various timeframes, ranging from 1MIN to 3MONTHS (or other - 'DIFF')
script enhances decision-making efficiency and provides a clearer picture of market condition by integrating multiple timeframe analysis into a single panel.
1). WARNING!:
-script doesn't make any calculations on its own really but is more of a tool for traders to remember what is happening on other time frames
- use tooltips to navigate settings easier
2). MAIN OPTIONS:
- Keeps track of up to 7 timeframes. (NUMBER of TimeFrames setting, from 1-7)
- Customizable Display: Choose to display nothing, upward/downward arrows, or a range indication for each timeframe.
- timeframe options: '1-MIN','5-MIN','15-MIN','30-MIN','1H','4H','1D','1W','1M','3M','DIFF'
- Color Coding: Define your preferred colors for each timeframe
- set position of the table and size of text (Position/text)
- Personal Touch: Add your own trading maxim or motto for inspiration to show up when SHOW TEXT is turned on
3. )OPTIONS:
-NUMBER of TimeFrames setting: from 1-7 - how many rows to show
-SHOW TABLE: Toggle to display or hide the trend table panel.
-SHOW TEXT: Show or hide your personalized trading maxim.
-SHOW TREND: Enable to display trend direction arrows.
-SHOW_CLRS: Turn on to activate color coding for each timeframe.
-position/text size for table
-settings for each timeframe:color,time,trend
-place to type ur own text
5). How to Use the Script:
-After adding the script to your chart, use the 'NUMBER of TimeFrames' setting to select how many timeframes you want to track (1 to 7).
-Customize the appearance of each timeframe row using the color and arrow options.
-For trend analysis, the script offers arrows to indicate upward, downward, or ranging markets.
-decide what trend dominates particular TF (using other tools - script does not calculate trend on its own )
- mark trends on panel to keep track of all TF
-Enable or disable various features like the table panel, trader maxim, and color coding using the ON/OFF options.
6). just in case:
- ask me anything about the code
-don't be shy to report any bugs or offer improvements of any kind.
- originally created for @ict_whiz and made public at his request
Swing Trading Indicators (Improved)This "Swing Trading Indicators" script is a sophisticated trading tool designed for traders who wants to use technical analysis for identifying optimal entry points, safeguarding profits, and protect their capital. With foundations loosely based on the momentum burst strategy by Pradeep Bonde, Kristjan Kullamaggie's trading methodologies, and incorporating automatic stop-losses based on Average Daily Range (ADR) and Average True Range (ATR), this script offers a comprehensive solution if you want to capitalize on short-term market movements.
Key Features:
Indicators and Moving Averages: Includes EMA (5, 10, 20, 50 days), SMA (200 days), and the highest and lowest prices over 200 days to provide a multifaceted view of market trends and momentum.
Thrust Indicator: Central to the script, the thrust indicator signals a buy point when a candlestick bar closes above the highs of the last two days, indicating a momentum burst. This feature is particularly inspired by Pradeep Bonde's 4% breakout strategy, highlighting the script's capability to identify range expansion and upward thrusts as key entry moments.
Automatic Stop-Levels: Utilizes ADR and ATR to set dynamic stop-losses, helping traders to manage risk effectively by adapting to market volatility.
Comprehensive Market Analysis : Through volume analysis, RSI, closing range, and other parameters, the script offers a deep dive into market dynamics, aiding in decision-making.
Who Should Use It:
This tool is ideal for swing traders and momentum traders focused on short to medium-term gains. Its robust set of features makes it suitable for those who prefer a data-driven approach to identify buying opportunities and manage risk.
Trading Style Compatibility:
The thrust indicator shines in momentum trading strategies, providing clear signals for entering trades ahead of potential price jumps. The integration of moving averages and volume analysis supports a variety of trading styles, including day trading and swing trading, by offering insights into trend strength and potential reversals.
How the Thrust Indicator Works:
When you see a thrust indicator (green upwards arrow below a candle) when the price is moving out of a consolidation or low volatility price-range , that's the buy point.
The thrust indicator is NOT indended as an indicator for long term positions or trend reversals, but for entries at a good price while capturing the first day of a potential 5-20% move in the coming 3-5 days.
The thrust indicator pinpoints moments when a stock shows a strong upward momentum, characterized by a candlestick closing above the highs of the preceding two days. This identifies a momentum burst, signaling an optimal entry point for traders looking to profit from a short-term price movement, typically ranging from 5-20% over the following 3-5 days. Such precision in identifying entry points is invaluable for traders focusing on capturing quick gains from market volatility.
"Top / Watch out" Indicator:
In addition to the script's core functionality, the "WatchOut" indicator plays a crucial role in identifying potential reversals after significant price movements. By analyzing conditions such as recent price increases compared to the average daily range, RSI levels, and the opening price distance from the EMA, the "WatchOut" indicator alerts traders to exercise caution. This feature is pivotal for those looking to avoid entering trades that might be on the verge of a pullback or reversal, enhancing the script's utility in managing risk.
Composite Trend Oscillator [ChartPrime]CODE DUELLO:
Have you ever stopped to wonder what the underlying filters contained within complex algorithms are actually providing for you? Wouldn't it be nice to actually visually inspect for that? Those would require some kind of wild west styled quick draw duel or some comparison method as a proper 'code duello'. Then it can be determined which filter can 'draw' the quickest from it's computational holster with the least amount of lag and smoothness.
In Pine we can do so, discovering how beneficial that would be. This can be accomplished by quickly switching from one filter to another by input() back and forth, requiring visual memory. A better way could be done by placing two indicators added to the chart and then eventually placed into one indicator pane on top of each other.
By adding a filter() helper function that calls other moving average functions chosen for comparison, it can put to the test which moving average is the best drawing filter suited to our expected needs. PhiSmoother was formerly debuted and now it is utilized in a more complex environment in a multitude of ways along side other commonly utilized filters. Now, you the reader, get to judge for yourself...
FILTER VERSATILITY:
Having the capability to adjust between various smoothing methods such as PhiSmoother, TEMA, DEMA, WMA, EMA, and SMA on historical market data within the code provides an advantage. Each of these filter methods offers distinct advantages and hinderances. PhiSmoother stands out often by having superb noise rejection, while also being able to manipulate the fine-tuning of the phase or lag of the indicator, enhancing responsiveness to price movements.
The following are more well-known classic filters. TEMA (Triple Exponential Moving Average) and DEMA (Double Exponential Moving Average) offer reduced transient response times to price changes fluctuations. WMA (Weighted Moving Average) assigns more weight to recent data points, making it particularly useful for reduced lag. EMA (Exponential Moving Average) strikes a balance between responsiveness and computational efficiency, making it a popular choice. SMA (Simple Moving Average) provides a straightforward calculation based on the arithmetic mean of the data. VWMA and RMA have both been excluded for varying reasons, both being unworthy of having explanation here.
By allowing for adjustment refinements between these filter methods, traders may garner the flexibility to adapt their analysis to different market dynamics, optimizing their algorithms for improved decision-making and performance on demand.
INDICATOR INTRODUCTION:
ChartPrime's Composite Trend Oscillator operates as an oscillator based on the concept of a moving average ribbon. It utilizes up to 32 filters with progressively longer periods to assess trend direction and strength. Embedded within this indicator is an alternative view that utilizes the separation of the ribbon filaments to assess volatility. Both versions are excellent candidates for trend and momentum, both offering visualization of polarity, directional coloring, and filter crossings. Anyone who has former experience using RSI or stochastics may have ease of understanding applying this to their chart.
COMPOSITE CLUSTER MODES EXPLAINED:
In Trend Strength mode, the oscillator behavior signifies market direction and movement strength. When the oscillator is rising and above zero, the market is within a bullish phase, and visa versa. If the signal filter crosses the composite trend, this indicates a potential dynamic shift signaling a possible reversal. When the oscillator is teetering on its extremities, the market is more inclined to reverse later.
With Volatility mode, the oscillator undergoes a transformation, displaying an unbounded oscillator driven by market volatility. While it still employs the same scoring mechanism, it is now scaled according to the strength of the market move. This can aid with identification of ranging scenarios. However, one side effect is that the oscillator no longer has minimum or maximum boundaries. This can still be advantageous when considering divergences.
NOTEWORTHY SETTINGS FEATURES:
The following input settings described offer comprehensive control over the indicator's behavior and visualization.
Common Controls:
Price Source Selection - The indicator offers flexibility in choosing the price source for analysis. Traders can select from multiple options.
Composite Cluster Mode - Choose between "Trend Strength" and "Volatility" modes, providing insights into trend directionality or volatility weighting.
Cluster Filter and Length - Selects a filter for the cluster composition. This includes a length parameter adjustment.
Cluster Options:
Cluster Dispersion - Users can adjust the separation between moving averages in the cluster, influencing the sensitivity of the analysis.
Cluster Trimming - By modifying upper and lower trim parameters, traders can adjust the sensitivity of the moving averages within the cluster, enhancing its adaptability.
PostSmooth Filter and Length - Choose a filter to refine the composite cluster's post-smoothing with a length parameter adjustment.
Signal Filter and Length - Users can select a filter for the lagging signal plot, also having a length parameter adjustment.
Transition Easing - Sensitivity adjustment to influence the transition between bullish and bearish colors.
Enjoy
Peak and Trough Tracker by Mustafa KAPUZPeak and Trough Tracker
This indicator identifies the highest and lowest prices reached in two user-defined time periods. It then draws two lines connecting these peak and trough points. The purple line represents the connection between the highest prices, while the aqua line represents the relationship between the lowest prices. Both lines extend into the future and past, providing insights into potential support and resistance levels.
How to Use:
Add the indicator to your chart.
Enter two time periods.
Analyze the lines connecting peak and trough points.
This tool helps visually understand the market's key turning points and adjust your investment strategy based on these insights.
Zirve ve Dip Noktaları İzleyici
Bu indikatör, kullanıcı tarafından belirlenen iki zaman periyodunda piyasanın ulaştığı en yüksek ve en düşük fiyatları tespit eder. Ardından, bu zirve ve dip noktalarını birleştiren iki çizgi çizer. Mor çizgi, en yüksek fiyatlar arasındaki bağlantıyı gösterirken; aqua çizgi, en düşük fiyatlar arasındaki ilişkiyi temsil eder. Her iki çizgi de geleceğe ve geçmişe doğru uzanarak, potansiyel destek ve direnç seviyeleri hakkında fikir verir.
Kullanımı:
İndikatörü grafik üzerine ekleyin.
İki zaman periyodu girin.
Zirve ve dip noktalarını birleştiren çizgilerin analizini yapın.
Bu araç, piyasanın önemli dönüm noktalarını görsel olarak anlamanıza ve yatırım stratejinizi bu bilgilere göre ayarlamanıza yardımcı olur.
Trend Reversal Composite Index
Overview
The "Trend Reversal Composite Index" (TRCI) is a comprehensive technical analysis tool that combines several indicators to identify potential trend reversals and assess the overall market pulse. The script integrates a variety of technical indicators, including RSI, Stochastic, MACD, Bollinger Bands, Williams %R, OBV, ADX, ATR, and the Relative Volatility Index, each with adjustable weights to fine-tune their influence on the composite scores.
Key Features
Customization : Users can select the "Standardization Type" (Normalized or Z-Score) to standardize indicator values, catering to different analysis preferences.
Composite Scores : The script calculates two main composite scores: the "Trend Reversal Composite" and the "Market Pulse Composite," each derived from a weighted sum of standardized indicator values.
Indicator Weighting : Each indicator's impact on the composite scores can be adjusted through user-defined weights, enabling personalized sensitivity settings.
Dynamic Visuals : The script plots the composite scores and their exponential moving averages (EMAs) on the chart, offering a clear visualization of the market's condition and trend reversals.
Signal Identification : It provides clear "go long" and "go short" signals based on the crossover and crossunder of the composite score and predefined thresholds, assisting in decision-making.
Utility and Originality
TRCI stands out due to its integrative approach, combining multiple indicators into a single composite index. This not only simplifies the analysis by providing a consolidated view of various signals but also enhances the decision-making process by aggregating the predictive power of individual indicators. Its flexibility in customization through adjustable weights and standardization types allows users to tailor the tool according to their trading style and market conditions.
Implementation and Usage
To utilize the TRCI effectively, traders should first experiment with the weights of different indicators based on their trading strategy and the market's volatility. The composite scores offer a straightforward interpretation: higher values may indicate potential buying opportunities, while lower values could signal selling points. The inclusion of EMAs further aids in smoothing out the signals, providing a more reliable indicator of trend direction.
Conclusion
The "Trend Reversal Composite Index" is a versatile and innovative tool for traders looking to streamline their technical analysis and enhance their decision-making process. Its combination of multiple indicators into composite scores, customizable through user-defined weights, makes it a valuable addition to any trader's toolkit.
Neural Network Synthesis: Trend and Valuation [QuantraSystems]Neural Network Synthesis - Trend and Valuation
Introduction
The Neural Network Synthesis (𝓝𝓝𝒮𝔂𝓷𝓽𝓱) indicator is an innovative technical analysis tool which leverages neural network concepts to synthesize market trend and valuation insights.
This indicator uses a bespoke neural network model to process various technical indicator inputs, providing an improved view of market momentum and perceived value.
Legend
The main visual component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is the Neural Synthesis Line , which dynamically oscillates within the valuation chart, categorizing market conditions as both under or overvalued and trending up or down.
The synthesis line coloring can be set to trend analysis or valuation modes , which can be reflected in the bar coloring.
The sine wave valuation chart oscillates around a central, volatility normalized ‘fair value’ line, visually conveying the natural rhythm and cyclical nature of asset markets.
The positioning of the sine wave in relation to the central line can help traders to visualize transitions from one market phase to another - such as from an undervalued phase to fair value or an overvalued phase.
Case Study 1
The asset in question experiences a sharp, inefficient move upwards. Such movements suggest an overextension of price, and mean reversion is typically expected.
Here, a short position was initiated, but only after the Neural Synthesis line confirmed a negative trend - to mitigate the risk of shorting into a continuing uptrend.
Two take-profit levels were set:
The midline or ‘fair value’ line.
The lower boundary of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicators valuation chart.
Although mean-reversion trades are typically closed when price returns to the mean, under circumstances of extreme overextension price often overcorrects from an overbought condition to an oversold condition.
Case Study 2
In the above study, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is applied to the 1 Week Bitcoin chart in order to inform long term investment decisions.
Accumulation Zones - Investors can choose to dollar cost average (DCA) into long term positions when the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicates undervaluation
Distribution Zones - Conversely, when overvalued conditions are indicated, investors are able to incrementally sell holdings expecting the market peak to form around the distribution phase.
Note - It is prudent to pay close attention to any change in trend conditions when the market is in an accumulation/distribution phase, as this can increase the likelihood of a full-cycle market peak forming.
In summary, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is also an effective tool for long term investing, especially for assets like Bitcoin which exhibit prolonged bull and bear cycles.
Special Note
It is prudent to note that because markets often undergo phases of extreme speculation, an asset's price can remain over or undervalued for long periods of time, defying mean-reversion expectations. In these scenarios it is important to use other forms of analysis in confluence, such as the trending component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator to help inform trading decisions.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
Example Settings
As used above.
Swing Trading
Smooth Length = 150
Timeframe = 12h
Long Term Investing
Smooth Length = 30
Timeframe = 1W
Methodology
The 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator draws upon the foundational principles of Neural Networks, particularly the concept of using a network of ‘neurons’ (in this case, various technical indicators). It uses their outputs as features, preprocesses this input data, runs an activation function and in the following creates a dynamic output.
The following features/inputs are used as ‘neurons’:
Relative Strength Index (RSI)
Moving Average Convergence-Divergence (MACD)
Bollinger Bands
Stochastic Momentum
Average True Range (ATR)
These base indicators were chosen for their diverse methodologies for capturing market momentum, volatility and trend strength - mirroring how neurons in a Neural Network capture and process varied aspects of the input data.
Preprocessing:
Each technical indicator’s output is normalized to remove bias. Normalization is a standard practice to preprocess data for Neural Networks, to scale input data and allow the model to train more effectively.
Activation Function:
The hyperbolic tangent function serves as the activation function for the neurons. In general, for complete neural networks, activation functions introduce non-linear properties to the models and enable them to learn complex patterns. The tanh() function specifically maps the inputs to a range between -1 and 1.
Dynamic Smoothing:
The composite signal is dynamically smoothed using the Arnaud Legoux Moving Average, which adjusts faster to recent price changes - enhancing the indicator's responsiveness. It mimics the learning rate in neural networks - in this case for the output in a single layer approach - which controls how much new information influences the model, or in this case, our output.
Signal Processing:
The signal line also undergoes processing to adapt to the selected assets volatility. This step ensures the indicator’s flexibility across assets which exhibit different behaviors - similar to how a Neural Network adjusts to various data distributions.
Notes:
While the indicator synthesizes complex market information using methods inspired by neural networks, it is important to note that it does not engage in predictive modeling through the use of backpropagation. Instead, it applies methodologies of neural networks for real-time market analysis that is both dynamic and adaptable to changing market conditions.
Dynamic Momentum GaugeOverview
The Dynamic Momentum Gauge is an indicator designed to provide information and insights into the trend and momentum of a financial asset. While this indicator is not directional , it helps you know when there will be a trend, big move, or when momentum will have a run, and when you should take profits.
How It Works
This indicator calculates momentum and then removes the negative values to focus instead on when the big trend could likely happen and when it could end, or when you should enter a trade based on momentum or exit. Traders can basically use this indicator to time their market entries or exits, and align their strategies with momentum dynamics.
How To Use
As previously mentioned, this is not a directional indicator but more like a timing indicator. This indicator helps you find when the trend moves, and big moves in the markets will occur and its possibly best to exit the trades. For example, if you decide to enter a long trade if the Dynamic Momentum Gauge value is at an extreme low and another momentum indicator that you use has conditions that you would consider to long with, then this indicator is basically telling you that there isn't more space for the momentum to squeeze any longer, can only really expand from that point or stay where it currently is, but this is also a mean reverting process so it does tend to go back up from the low point.
Settings:
Length: This is the length of the momentum, by default its at 100.
Normalization Length: Length of the Normalization which ensures the the values fall within a consistent range.
VSA Volume Spread AnalysisVolume Spread Analysis with Trend Direction is an indicator designed to Identify trend based volume spread.
Volume
Spread
Trend
This is a very simple yet powerful to identify Trend and corresponding volume Breakout. Unlike other Volume Indicators this indicator detects Breakout along with trend direction. One can detect the Early breakout in volume using this indicator. The Buy or Sell Signal is based on zero crossing of the Histogram.
Trend direction is confirmed using the MA of the Histogram which is similar to the Volume MA on volume indicator. One can enter a trade using the indicator when Trend direction and histogram are in same direction. Entry is done when ever histogram crosses the Trend MA line.
Fake entries can be eliminated by changing the indicator to higher Timeframe.
Spread is determined using the difference in open and close of the candle
Volume change is determined using the ratio of change of volume to previous volume
EMA 10 is used to determine the Spread and multiplied by volume change so the
PRICE(ema10), Volume, Spread(close-open) are merged to one indicator.
Direction changes when ever difference of VSA is positive or negative.
[LCS] Bar HeatmapThe script is an overlay aimed at making price action within a range more comprehensible, i.e. what is the “story” that the band range is telling in relation to the price. You’ll see bars become brighter as they come near the upper or lower band, and dimmer around the average/middle of the two bands. This makes it easier to spot when the price is within an oversold or overbought area or when its experiencing a strong trend movement. The color shift from one to the other can also give a sense as to whether the price action is changing character (going from bullish to bearish or vice versa).
Settings are available for customization to the user's liking.
How to use:
1. Add the indicator.
2. Add another indicator to use as the source, such as Bollinger Bands, which provides upper and lower plots for a channel range.
3. Click the gear icon to access the indicator settings.
4. Mandatory: Select the Upper Band and Lower Band settings as the upper and lower plots from your source indicator of choice to define the range.
5. Save settings. You should now see bars on your chart.
6. Access the Chart Settings (not the indicator settings) and hide the Body, Borders, and Wick for the default candle bars to avoid overlap.
You may need to perform additional configuration steps in your source indicator to appropriately size the range of the upper and lower band plots for a meaningful visualization.
Multi VWAP [MW]Introduction
The Multi VWAP tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends, and creates automatic AVWAPS for multiple anchor points, such as for 2-day, 3-day, 4-day, 5-day, and custom date anchors as well as automagically creating month-to-date and year-to-date anchors. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Brian Shannon is also the author of “Maximum Trading Gains With Anchored VWAP: The Perfect Combination of Price, Time, and Volume”. Available at Amazon.
Settings
Daily VWAP : A continuous line of the the daily Volume Weighted Average Price (VWAP)
Weekly VWAP : A continuous line of the weekly VWAP
2-Day AVWAP : The anchored VWAP from 2 trading days ago (holidays and weekends are excluded in this calculation)
3-Day AVWAP : The anchored VWAP from 3 trading days ago
4-Day AVWAP : The anchored VWAP from 4 trading days ago
5-Day AVWAP : The anchored VWAP from 5 trading days ago. The slope of this line and the position of the price relative to this line can be used to determine trend direction.
10-Day AVWAP : The anchored VWAP from 10 trading days ago
Month-to-Date AVWAP : The anchored VWAP from the beginning of the current month
Year-to-Date AVWAP : The anchored VWAP from the beginning of the current year
Custom Date AVWAP : Sets a date to begin an anchored VWAP starting from any time.
Use only the most recent VWAP for Week, Month, and Year: Toggles on and off the continuous weekly, monthly, and yearly VWAPs
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is the calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
Shannon also distinguishes the importance of an increasing or decreasing 5 day VWAP, which reflects the price sentiment, objectively, for roughly the last trading week, or 5 trading days. Pricing below a decreasing 5-day VWAP is considered very bearish, while pricing above an increasing 5-day VWAP is considered bullish and is recommended before considering long positions.
Additionally, a custom VWAP can be generated to coincide with important events, such as FOMC meetings, CPI reports, earnings reports, etc.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, the indicator may take a little longer to load than usual. On the rare occasion where it fails to load, you may need to remove the indicator and add it back to your chart. Also, if you do encounter this problem, avoid redrawing your chart while the indicator is being added to the screen.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev and the TimeFormattingLibrary by @twingall were invaluable. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not be possible.
ATR TrendTL;DR - An average true range (ATR) based trend
ATR trend uses a (customizable) ATR calculation and highest high & lowest low prices to calculate the actual trend. Basically it determines the trend direction by using highest high & lowest low and calculates (depending on the determined direction) the ATR trend by using a ATR based calculation and comparison method.
The indicator will draw one trendline by default. It is also possible to draw a second trendline which shows a 'negative trend'. This trendline is calculated the same way the primary trendline is calculated but uses a negative (-1 by default) value for the ATR calculation. This trendline can be used to detect early trend changes and/or micro trends.
How to use:
Due to its ATR nature the ATR trend will show trend changes by changing the trendline direction. This means that when the price crosses the trendline it does not automatically mean a trend change. However using the 'negative trend' option ATR trend can show early trend changes and therefore good entry points.
Some notes:
- A (confirmed) trend change is shown by a changing color and/or moving trendline (up/down)
- Unlike other indicators the 'time period' value is not the primary adjustment setting. This value is only used to calculate highest high & lowest low values and has medium impact on trend calculation. The primary adjustment setting is 'ATR weight'
- Every settings has a tooltip with further explanation
- I added additional color coding which uses a different color when the trend attempts to change but the trend change isn't confirmed (yet)
- Default values work fine (at least in my back testing) but the recommendation is to adjust the settings (especially ATR weight) to your trading style
- You can further finetune this indicator by using custom moving average types for the ATR calculation (like linear regression or Hull moving average)
- Both trendlines can be used to determine future support and resistance zones
- ATR trend can be used as a stop loss finder
- Alerts are using buy/sell signals
- You can use fancy color filling ;)
Happy trading!
Daniel
OverbalanceOverbalance script tracks trend moves and biggest corrections in those moves.
Based on last trend extreme value (low or high) it can draw line symbolizing correction equal to
the biggest correction in that trend. It can track up to 20 independent (both up and down) trends on one chart.
Overbalance method works on an assumption that trend continues until we have correction bigger than the biggest existing correction in that trend. Comparing the historically biggest correction with the current one can give a warning signal.
There are markets and instruments for which the size of corrections is repeated, and tracking corrections in the trend can be used to predict the trend change moment. - Just remember that if something happened in the past it is not guaranteed that it will happen again.
This script can be used by ANY user. You DO NOT NEED to have PRO or PREMIUM account to use it.
Script settings:
Trend min change - Filter out price moves smaller than % of current price.
OB up - Showing overbalance in up trends
OB down - Showing overbalance in down trends
Historical with precision - Showing corrections moves that were equal to biggest previous correction in that trend with a given (%) precision.
OB prediction up - Showing overbalance threshold in current up trends
OB prediction down - Showing overbalance threshold in current down trends
OB Exceeded - Showing broken overbalance thresholds
Arrows - Showing overbalance thresholds with an arrows
(with labels) - Showing labels over overbalance threshold arrows
Price line - It draws a line at the price level, under the arrows.
Troubleshooting:
In case of any problems, send error details to the author of the script.
CARNAC Magic DCAThe "CARNAC Magic DCA" indicator is designed for investors looking for the best opportunities for Dollar-Cost Averaging (DCA).
How it works:
The Carnac Dynamic DCA Threshold calculates a dynamic threshold for DCA entries using Exponential Moving Average (EMA), Average True Range (ATR), and the maximum distance from the EMA over a full lookback period, aiding in identifying optimal buy opportunities. It also only signals a DCA buying opportunity after a bearish candle, which helps lower the average DCA price.
Configurable Inputs:
EMA Start Length: Sets the initial length for the series of EMAs, affecting their sensitivity to price changes.
ATR Length: Determines the period for the ATR calculation, influencing the dynamic DCA threshold's responsiveness to market volatility.
ATR Multiplier: Modifies the impact of the ATR on the DCA threshold, allowing for finer control over the threshold's sensitivity to volatility.
Start Calculation From: Enables setting a specific start date for calculations, tailoring the analysis to a particular trading period.
DCA Buy Signal Alert: Generates an alert when the price is below both the dynamic DCA threshold and the opening price, indicating a potential buy signal based on DCA strategy.
Ten EMAs: Carnac Magic DCA includes a ten EMA plot, which decrease in length from the user-defined starting length, offering a multi-layered trend analysis.
EMA Color Coding: The sequential arrangement of EMAs is visually represented through color coding, facilitating quick trend recognition.
Average Buy Price Analysis: Calculates and displays the average buy price and its percentage difference from the average closing price since the user-defined start date, helping assess the strategy’s effectiveness compared to traditional DCA methods (purchasing at the close of every candle).
Visual Indicators and Labels: Includes visual alerts for buy signals and informative labels showing average buy prices and related statistics.
Bitcoin/Hash Rate Oscillator & MAWhat it does:
Finds the ratio of BTC price to the Hash Rate with an additional MA applied to find changes in volatility with relative context. Best used as a two lines cross indicator.
When the ratio of price to hashrate increases, it may be a sign miners cannot or will not sell as much.
When the ratio decreases, it may indicate miners have more capability and/or incentive to sell.
How it works:
The indicator uses a MA applied to the hashrate(first MA input), then finds the difference between it and the actual hash rate. Then it finds the STD of that to create an oscillating value. BTC is divided by said value. Then a second MA is applied to that ratio(second MA input)
FX DispersionThis script calculates the dispersion of a basket of 5 FX pairs and then calculates the z-score the z-score is then made into a composite using the 30 and 60 ema of the z-score to smooth any noise. It must be used on one of the FX pairs in the basket and on the 1-minute timeframe as it has been hardcoded for 1 min use below.
Interpretation - Dispersion is a component of volatility - the dispersion of the underlying basket increases above 0.5 and decreases below 0.5.
Although increased dispersion is beneficial to momentum and trend-following strategies on the monthly and weekly timeframes. Observe this on the 1-minute timeframe and how dispersion crossing above/ below 0.5 it can signal reversion or momentum for the next period.
Adaptive Trend Finder (log)In the dynamic landscape of financial markets, the Adaptive Trend Finder (log) stands out as an example of precision and professionalism. This advanced tool, equipped with a unique feature, offers traders a sophisticated approach to market trend analysis: the choice between automatic detection of the long-term or short-term trend channel.
Key Features:
1. Choice Between Long-Term or Short-Term Trend Channel Detection: Positioned first, this distinctive feature of the Adaptive Trend Finder (log) allows traders to customize their analysis by choosing between the automatic detection of the long-term or short-term trend channel. This increased flexibility adapts to individual trading preferences and changing market conditions.
2. Autonomous Trend Channel Detection: Leveraging the robust statistical measure of the Pearson coefficient, the Adaptive Trend Finder (log) excels in autonomously locating the optimal trend channel. This data-driven approach ensures objective trend analysis, reducing subjective biases, and enhancing overall precision.
3. Precision of Logarithmic Scale: A distinctive characteristic of our indicator is its strategic use of the logarithmic scale for regression channels. This approach enables nuanced analysis of linear regression channels, capturing the subtleties of trends while accommodating variations in the amplitude of price movements.
4. Length and Strength Visualization: Traders gain a comprehensive view of the selected trend channel, with the revelation of its length and quantification of trend strength. These dual pieces of information empower traders to make informed decisions, providing insights into both the direction and intensity of the prevailing trend.
In the demanding universe of financial markets, the Adaptive Trend Finder (log) asserts itself as an essential tool for traders, offering an unparalleled combination of precision, professionalism, and customization. Highlighting the choice between automatic detection of the long-term or short-term trend channel in the first position, this indicator uniquely caters to the specific needs of each trader, ensuring informed decision-making in an ever-evolving financial environment.
WPO Modified [BackQuant]The Wave Period Oscillator (WPO), developed by Akram El Sherbini, is a sophisticated technical analysis tool that offers traders a dynamic way to interpret market cycles. Its design is inspired by the natural ebb and flow of markets, which often follow cyclical patterns driven by underlying economic, political, and psychological factors. The oscillator's unique contribution to market analysis lies in its ability to smooth out the "noise" inherent in daily price movements, thus providing a clearer view of the market's rhythmic fluctuations over time.
-----> Time Cycle Oscillators' in the IFTA Journal 2018 (page 66 - 77), as found below:
ifta.org
El Sherbini's WPO is grounded in the concept of wave period analysis, which suggests that financial markets move in waves or cycles. The oscillator translates these movements into a visual tool that oscillates above and below a central zero line. Peaks and troughs on the oscillator correspond to the crests and troughs of market price waves, providing a visual representation of the market's heartbeat.
The WPO is not merely a tool for identifying trends but also for detecting shifts in market momentum. It does this through a mathematical model that measures divergence—when the direction of the oscillator deviates from the direction of price movement. Such divergences can be precursors to potential reversals or continuations in the market, offering traders advance notice of significant changes in price direction.
Further refining its utility, the WPO incorporates methods for calculating divergence that are sensitive to the unique conditions of different markets and securities. This includes adjusting for volatility and market velocity, allowing the oscillator to provide relevant signals regardless of the market environment.
In practical terms, traders use the WPO to time their entries and exits with greater precision. When the oscillator shows a high peak or a deep trough, it can signal that a market is potentially overbought or oversold, respectively. The WPO's smoothing property ensures that these signals are not just reactionary to short-term price spikes or drops, but indicative of more substantial, sustained movements.
By providing a more measured and smoothed analysis of market cycles, the WPO helps to filter out insignificant price movements and focus on the ones that matter—those that indicate a significant wave of buying or selling pressure. This can be particularly valuable in the cryptocurrency markets, where volatility is high, and traditional indicators may struggle to provide clear signals.
For traders and analysts alike, the Wave Period Oscillator represents a convergence of technical precision and market psychology. By focusing on the periodic nature of market movements, it aligns traders with the rhythm of the markets, potentially leading to more harmonious trading decisions that are in step with the market's natural waves.
Please see the backtest here:
For more simple terms:
You can use this indicator as a the oscillator
Above 0 for long
Below 0 for short
OR
WPO MA
Above 0 for long
Below 0 for short
Wave Reader v2.4.2 only GOLD/XAU/USD The WaveReader is an algorithm that works out a strategy using various indicators that have been reconfigured and as soon as certain areas/goals/triggers have been reached, this is visualized as a sell or buy signal (large triangles)
The indicator also uses the Smart Money Concept (Expo) by @Zeiierman which has been reconfigured and adapted from his open source code to perfectly fit the rest of the strategy.
The smart money concept refers to the idea that capital does not only exist in the form of financial resources, but also includes knowledge, experience and networks. In the context of investing, smart money means that investors not only provide money but also add value through their expertise, industry experience and strategic influence.
In the traditional sense, "dumb money" refers to investors who merely provide capital, without any specific knowledge or insight into the industry or company in which they are investing. In contrast, “smart money” refers to investors who not only contribute financial resources, but can also make an active contribution to the development of the company.
This concept is particularly relevant in venture capital and private equity circles, where startups and high-growth companies seek capital. Smart money investors bring not only their financial support, but also their industry-specific know-how, relationships and experience. This can help companies make strategic decisions, optimize their business models and grow successfully.
Smart money can also be used in the trading environment to indicate experienced and knowledgeable investors who trade based not only on financial analysis but also on their deep understanding of the market, industry trends and fundamental business factors.
Overall, the Smart Money Concept represents a holistic approach to investments in which not only the capital but also the intellectual resources of investors can have a significant influence on the success of a company.
Of course, everything that was built into this indicator/algo will not be revealed, but there are countless hours of optimization in this project.
Explanation of the various components of the WaveReader:
WaveReader Confluence Box (CB)
The WaveReader Confluence Box is a Confluence for swing and day trading. It also confirms our one signal.
- If the price is above a newly opened CB, a long setup is confirmed.
- If the price is below a newly opened CB, a short setup is confirmed.
The WaveReader Cloud
WaveReader Cloud is our main trend.
WaveReader signals can be traded with or without confirmation.
However, the more confirmations we have, the more likely a successful setup will be.
- Green = Bullish Trend - Large Triangle (green)
- Red = Bearish Trend - Large Triangle (red)
- Gray = Neutral Trend - avoid new positions
The Waveline
The WaveReader Waveline is a trend confirmation. The waveline shows whether a trend is strong and serves as additional confirmation of a profitable setup.
Take trades when in bullish (green) or bearish (red), avoid new trades in neutral (black).
Re-entries and take profits
Re-entries and take profits are only displayed in the chart from the 1h time frame.
- Re-entry long position = small ▲ (green)
- Re-entry short position = small ▼ (red)
- Take profit in a long position = ⨯ (green)
- Take profit in a short position = ⨯ (red)
Additional features
- Display market structure (internal and swing).
- Display of order blocks (internal and swing).
- Display of fair value gaps (pre-filtered)
- Display EQ High Low
- Trailing Stop Loss
If you have any questions, please feel free to contact me
Market Trend Indicator (FinnoVent)The Market Trend Indicator (FinnoVent) is a comprehensive trading tool designed to provide clear visual cues for market trends on TradingView charts. This indicator combines the principles of Exponential Moving Averages (EMAs), Bollinger Bands, the Average Directional Index (ADX), and the Relative Strength Index (RSI) to offer a nuanced view of market movements.
How It Works:
Trend Identification with EMAs: The indicator uses two EMAs (3-period and 30-period) to identify the primary trend. An upward trend is signaled when the 3-period EMA crosses above the 30-period EMA, while a downward trend is indicated when the 3-period EMA crosses below the 30-period EMA.
Sideways Market Detection: To identify sideways trends, the indicator employs Bollinger Bands, ADX, and RSI. A sideways (or consolidating) market condition is identified when:
The price is between the middle 60% of the Bollinger Bands (avoiding the top and bottom 20%).
The ADX is below 30, indicating a lack of a strong trend.
The RSI is between 40 and 60, suggesting a neutral market momentum.
Visual Representation:
Bar Colors: The indicator colors the price bars on the chart based on the identified trend:
Green Bars: Indicate an upward trend.
Red Bars: Indicate a downward trend.
Grey Bars: Indicate a sideways or consolidating market.
How to Use:
Trend Following: Use the colored bars as a guide for trend following. Green bars suggest a potential entry for a long position, while red bars may indicate opportunities for short positions.
Sideways Market Caution: Grey bars signal a sideways market. In such conditions, traders might exercise caution and avoid trend-following strategies, as the market lacks a clear direction.
Complementary Analysis: While the Market Trend Indicator (FinnoVent) provides valuable insights, it's recommended to use it in conjunction with other forms of analysis (like fundamental analysis, other technical indicators, or price action) for comprehensive decision-making.
Suitable for: This indicator is versatile and can be applied to various timeframes and trading instruments, including stocks, forex, commodities, and indices.
Important Notes:
The indicator is designed to minimize repainting but always consider the latest data for the most accurate analysis.
Like all indicators, it is not foolproof. It works best when combined with a solid trading plan and risk management strategies.
Digital Market Insight's Dream IndicatorWhy the Digital Market Insight’s Dream Indicator Blends Sixteen Technical Indicators
Analyzing markets can be overwhelming with so many technical indicators available. Choosing the right ones and combining them effectively can be a challenge. This indicator simplifies this by leveraging the power of collaboration.
Unleashing the power of automation, Digital Market Insight's Dream Indicator simplifies both day trading and long-term investing by automatically generating buy and sell signals.
This user-friendly indicator simplifies everything, making it easy to identify profitable trades where other indicators usually fall short.
Instead of relying on a few popular indicators, the Digital Market Insight’s Dream Indicator incorporates sixteen diverse metrics. Each offers unique insights into different aspects of market behavior, giving you a complete picture that goes beyond what any single indicator can provide.
Combining indicators that analyze trends, momentum, volume, and volatility allows you to see the market from different angles. This combination creates a powerful tool that can uncover opportunities missed by traditional indicators.
Digital Market Insight’s Dream Indicator uses sophisticated algorithms to balance the influence of each individual indicator. This ensures that no single metric dominates the analysis, providing a more objective perspective.
In short, Digital Market Insight’s Dream Indicator makes the complex task of choosing and combining indicators seamless and automated. This allows traders of all experience levels to benefit from powerful technical analysis, unlocking potentially profitable opportunities they might have missed otherwise.
Leveraging sixteen popular technical indicators, the Dream Indicator from Digital Market Insight meticulously dissects trends, momentum, volume, and volatility to offer comprehensive market insights. Inspired by the Relative Strength Index (RSI), it scales these indicators and identifies breakouts with optimized overbought and underbought thresholds. This combined data is compared to the security, generating a divergence line. The line's magnitude and speed are monitored, leading to the creation of buy and sell signals.
The following is a list of the sixteen indicators that it tracks:
• Parabolic SAR
• Directional Movement Index
• Chande Momentum Oscillator
• Commodity Channel Index
• Volume-Weighted Average Price
• On-Balanced Volume
• Money Flow Index
• Relative Strength Index
• Moving average convergence divergence
• Bollinger Band
• Stochastic
• True Strength Index
• Chaikin Money Flow
• Williams %R
• Sentiment
• Supertrend
While the combination of technical indicators is intriguing, the Dream Indicator's true power lies in its dynamic false signal suppression settings. This system can adapt to frequent market changes in real-time, allowing for a nuanced understanding of market direction. Imagine a rapid price swing triggered by a news announcement. While other indicators provide static signals, the Dream Indicator takes a dynamic approach. By offering multiple adjustable factors, it allows users to customize the indicator to their specific needs and preferences, potentially revealing deeper insights into market trends.
The following is the list of suppression settings:
• Suppress Using an SMA Window? Size?
This suppresses when the security price varies outside a simple moving average window. The window size can be adjusted.
• Suppress Using Supertrend Direction? Factor?
This suppresses when the Supertrend’s direction, increasing or decreasing, is contrary to the security’s gain. The Supertrends factor can be adjusted.
• Suppress Using Security ROC? ROC?
This suppresses when the security’s rate of change (ROC) is above a selectable value.
• Suppress Unfavorable Convergence/Divergence?
The buy alert is suppressed when the faster exponential moving average is less than the slower exponential moving average for both the sentiment and standard MACD. The sell alert is suppressed when the slower exponential moving average is less than the faster exponential moving average for both the sentiment and standard MACD.
• Suppress Unfavorable Trending Sentiment?
This suppresses buy alerts when the sentiment value is lowering and its value is currently below zero. This suppresses sell alerts when the sentiment value is rising and its value is currently above zero.
• Suppress Using Contrary Accumulated Forecast?
Suppress when the combined buy/sell signal is contrary to the security trend.
• Don’t Suppress First Alert?
Always Display First Alert.
How to use:
1. Activate the Indicator:
• Add the Digital Market Insight’s Dream Indicator.
• Select a security.
• Adjust the Alert Frequency, if desired.
• Configure the ATR Multiplier for optimal trailing stop orders, if desired.
2. Set audible alerts, if desired:
1. Select a security and adjust settings if you haven’t yet.
2. Select Alert at the top of the TradingView window or press + .
3. Select Digital Market Insight’s Dream Indicator across from Condition.
4. Select Alert for Buy across from Condition.
5. Select Once Per Bar Close across from Trigger.
6. Select Notifications at the top of the Create Alert window.
7. Select the Play sound checkbox.
8. Select the Create button at the bottom of the Create Alert window.
9. Repeat steps 2–8, substituting Alert for Sell in step 4.
3. Watch displayed information for opportunities:
• Circle Alerts: Green circles indicate buy signals, red ones signal sell opportunities. Larger circles are audible, providing immediate trading prompts.
• SMA Gain: This metric reflects the average profit potential per trade, assuming a sideways trend.
4. Utilize False-Signal Suppression:
• Select the appropriate false-signal suppression methods based on your trading strategy and risk tolerance.
• Monitor the SMA Gain and Circle Alerts as you adjust these settings to see their impact.
• Eliminate misleading signals and gain a clearer picture of the market.
5. Combine with Other Indicators:
• Consider displaying the Sentiment MACD and Divergence RSI for further insights.
• Utilize these additional indicators alongside Dream Indicator's signals for a more comprehensive analysis.
The following describes the displayed information and how to use it. It is in three levels: location/displayed text/description.
Upper Left/Week:/
Displays week gain.
Upper Left/Day:/
Displays day’s gain.
Upper Left/SMA:/
Displays SMA’s gain. The SMA gain is calculated from the average difference between the buy and sell alerts and a simple moving average. This makes it easy to compare differences between securities and setting changes. Basically, the SMA gain is the average profit that can be expected from a single buy sell trade, assuming that the security is trending sideways. Note: With a free TradingView account, the data will be limited, and therefore this value will be less accurate.
Upper Center/Misc. text/
A variety of security information is displayed here, including description, country, type, sector, and industry. The analyst's recommendation is also displayed when selected in the settings section.
Upper Right/ #🕪⚠:/
Displays number of audible alerts. This shows how many audible alerts you’ll get per day on average for the selected security. You will see this number change as you adjust the Alert Frequency setting in the indicator settings section.
Lower Right/ ATR × X.X:/
Displays the Average True Range (ATR) multiplied by a multiplier that is located in the indicator settings section. The upper and lower ATR values are also displayed. The Average True Range is a measure of price volatility and can be used for things like trailing stop orders. Place your stop-loss order a multiple of the ATR below your entry price for long trades and above your entry price for short trades. This will give your trade some room to breathe while still protecting you from significant losses. Adjust the multiple based on market volatility. In more volatile markets, use a larger multiple to account for potentially wider price swings.
The following is a description of important items in the indicator settings section:
--- MISC. SETTINGS ---
Alert Frequency
Alert Frequency will increase or decrease both the displayed alerts and audible alerts. This is one of the more important indicator settings and should be adjusted according to your investing style. If you have a large number of active alerts, you may want to reduce the alert frequency to avoid being overwhelmed. However, if you set this too low, you may miss some trading opportunities.
ATR Multiplier
The ATR multiplier is a multiplier for the Average True Range which is described above. It can help with finding trailing stop order values.
Use Sentiment Coloring
This changes the color of some graphs to a color gradient, indicating the security's sentiment, and may help you identify trend changes.
Sentiment Calc Index
This setting mainly affects the sentiment color scheme and the displayed sentiment graph. Adjust it to match the index in which the security is traded. You can find it at the top left of the TradingView window.
Display Analyst’s Recommendations
This will display the analyst's recommendations and could be handy when unsure whether a security is worth investing in. :-)
--- GRAPH DISPLAY SETTINGS ---
These are additional graphs that can be displayed and can be a valuable addition to your investing. Consider displaying the Sentiment MACD and the Divergence RSI which are both variations of the standard MACD and RSI indicators.
--- FALSE ALERT SUPPRESSION ---
These settings will allow suppression of false signals and are an important feature of this indicator. They will manipulate the gain. Watch the displayed SMA Gain and Circle Alerts as you toggle some of these settings. Some Circle Alerts will appear or vanish, and the SMA Gain will change. Remember, the larger circle alerts are the only ones that will be audible. Both small and large circles indicate a buy or sell alert: green for buy and red for sell.
Disclaimer:
This is not Investment Advice. Trading involves inherent risks, and all decisions should be made at your own discretion.
Cloud Channel Indicators [Quantigenics]The "Cloud Channel Indicators " script forms an integral part of a sophisticated trading approach, offering in-depth market analysis through its High Precision Oscillator and Trend Bias Indicator. These components provide traders with nuanced insights into market momentum and overall trend direction, making them invaluable for informed trading decisions. This script is further enhanced when used alongside its intended counterpart, the "Cloud Channel Signals " script, which displays the “cloud” indicator and Buy/Sell signals on charts. This combination creates a comprehensive and integrated trading system, suitable for various market conditions and trading styles.
The "Cloud Channel Indicators” script is a detailed trading indicator that merges advanced data analysis techniques with user-customizable features. It combines oscillators, dynamic levels, trend bias, and color settings, allowing users to tailor its functionality and visual representation. Unique to this script is its use of Gaussian and Rational Quadratic kernel estimates for data smoothing, enhancing the calculation of oscillator values. It dynamically adjusts OverBought and OverSold levels based on the oscillator's behavior and leverages array operations for tracking market peaks and lows. The script also integrates a Trend Bias indicator using highest highs, lowest lows, and exponential moving averages (EMAs), all of which are displayed through a range of plotting and visual elements. This synthesis of sophisticated techniques provides a multifaceted tool for technical market analysis.
As with all of our scripts, the "Cloud Channel Indicators"script, is designed to work on ANY symbol and time frame. The input parameters can be adjusted to fit your specific trading style.
Technical Composition :
High Precision Oscillator : This component focuses on capturing market momentum and identifying critical turning points. It uses advanced kernel-based estimations combined with a unique oscillator line and signal line setup to pinpoint market extremes, offering traders insights into potential entry and exit points.
Trend Bias Indicator : This indicator offers a broad view of the market's overall direction. It employs a combination of high and low-price averages, smoothed with an EMA, to indicate the prevailing market trend. The indicator is essential for verifying and complementing the insights provided by the High Precision Oscillator, ensuring that trades align with the broader market trend.
How to Use :
Integration with "Cloud Channel Signals" Script : For optimal use, synchronize this script with the "Cloud Channel Signals " script. This is essential for the script to provide meaningful analysis and insights.
Please note: The signals and cloud indicator displayed in this screenshot are part of the companion 'Cloud Channel Signals' script, which is not included in the 'Cloud Channel Indicators' script you are currently viewing.
The 'Cloud Channel Signals' script can be found here:
Analyzing Market Momentum with High Precision Oscillator : Utilize the High Precision Oscillator to identify market momentum and critical turning points. Look for extreme values on the oscillator line and signal line to pinpoint potential entry and exit points.
Understanding Market Trend with Trend Bias Indicator : Use the Trend Bias Indicator to get a broad view of the market's overall direction. This indicator helps confirm the insights provided by the High Precision Oscillator, aligning trades with the market trend.
Customizing Indicator Settings : Tailor the script to your trading style by adjusting the input parameters such as Oscillator Length, Trend Bias Length, and levels for top and bottom bounds. Ensure these settings match those in the "Cloud Channel Signals" script.
Interpreting Oscillator and Trend Bias : Monitor the High Precision Oscillator for overbought or oversold conditions. Use the Trend Bias Indicator to determine if the market is in an uptrend or downtrend and align your trades accordingly.
Using Dynamic Levels : Activate the Dynamic Level feature for an adaptive analysis that adjusts to current market conditions.
Visual Analysis : Pay attention to the color changes and histogram patterns in the script's visualization to quickly assess market conditions and momentum.
Risk Management : Combine these insights with proper risk management strategies, adjusting positions based on oscillator extremes and trend bias indications. Additionally, further risk management and stop loss levels are provided when used with the "Cloud Channel Signals” script (see description for "Cloud Channel Signals”)
Input Parameter Settings :
Important Usage Guidance : For seamless integration with its counterpart, the "Cloud Channel Signals" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Show Indicator Name (ShowName) : Toggles the display of the indicator names on the chart.
Show Oscillator Indicator (ShowOscillator) : Controls the visibility of the High Precision Oscillator.
Oscillator Length (OscillatorLength) : Sets the period for the oscillator's kernel estimation.
Top Level and Bottom Level (TopLevel, BottomLevel) : Defines the upper and lower bounds for the oscillator, indicating overbought and oversold conditions.
Dynamic Level Toggle (Dynamic_Level_OnOff) : Enables the use of dynamic levels for more adaptive analysis.
Show Trend Bias Indicator (ShowTrendBias) : Toggles the display of the Trend Bias Indicator.
Trend Bias Length (TrendBiasLength) : Adjusts the calculation period for the Trend Bias Indicator.
Show Peak/Valley EMA Lines (ShowEmaLines) : Controls the display of additional EMA lines for peak and valley analysis.
Color Customization : Offers options to customize the color of various elements like Top Level, Bottom Level, Zero Line, and more. These parameters provide traders with extensive control and customization of the indicators, allowing for tailored analysis and application in various market conditions and trading styles.
The "Cloud Channel Indicators " script is a versatile and advanced tool designed for traders who seek a deep understanding of market trends and momentum. Its combination of the High Precision Oscillator and Trend Bias Indicator offers a multi-dimensional view of market behavior. The scripts was designed and intended to be used with the "Cloud Channel Signals " script, which complements the "Cloud Channel Indicators" by showing the “cloud” indicator as well as Buy/Sell signals on the charts.
Traders are advised to familiarize themselves with the functionalities of these indicators for effective application in their trading strategies. As with all trading tools, remember that trading involves risk and past performance is not indicative of future results.
You can see the “Author’s instructions" below to get immediate access to Cloud Channel Indicators & the rest of the “Quantigenics Premium Indicator Suite.
