MTF Volume Flow IndicatorThe MTF Volume Flow Indicator (MTF VFI) is an advanced and versatile tool that enhances market analysis by tracking the flow of volume across multiple timeframes. By integrating volume flow with multi-timeframe analysis, this indicator provides traders with a comprehensive understanding of market trends, momentum, and potential reversals.
Key Features
Multi-Timeframe Volume Flow Analysis: The MTF VFI computes the Volume Flow Indicator across various timeframes, ranging from 1 minute to 1 month. This multi-timeframe analysis enables traders to observe and compare volume flow dynamics across different time horizons, offering deeper insights into market behavior.
Customizable VFI Settings: The indicator includes configurable VFI parameters such as length, coefficient, and volume cutoff, allowing users to tailor the analysis to different market conditions and trading strategies. This flexibility ensures that the indicator remains relevant across diverse market environments.
Signal Line and Delta Calculations: The script features a signal line derived from the VFI and calculates the delta values (the difference between VFI and the signal line). These delta values are essential for identifying potential buy or sell signals and are presented as histograms for easy visual interpretation.
Cumulative Delta with Dynamic Bands: The indicator introduces cumulative delta, a powerful tool that combines average and median VFI values to provide a clearer picture of market sentiment. Two standard deviation bands are plotted around the cumulative delta, offering a range within which price movements are likely to remain. These bands are smoothed using a 21-period EMA, providing a more refined view of market volatility.
Multi-Timeframe and Analysis Tables: The MTF VFI includes optional tables that display VFI, signal line, and delta values across all selected timeframes. Additionally, an analysis table presents key statistical metrics such as the highest, lowest, average, standard deviation, range, and median VFI values. These tables provide a concise summary of market conditions, aiding in strategic decision-making.
Dynamic Display Options: The indicator offers extensive customization options, allowing traders to display or hide elements such as delta histograms, delta bands, and tables. This ensures that users can focus on the most relevant information for their trading strategy.
Neutral Candle Coloring Option: Traders can enable neutral candle colors, where bearish candles are gray and bullish candles are white. This feature helps to reduce noise and maintain focus on the overall trend and volume flow analysis.
How It Works
Volume Flow Indicator Calculation: The VFI is calculated using a combination of typical price, volume, and the standard deviation of price changes. The indicator smooths the VFI based on user preferences, allowing traders to adjust the sensitivity of the analysis to better match their trading style.
Multi-Timeframe Integration: The script pulls VFI calculations from multiple timeframes, providing a holistic view of market trends. By analyzing VFI across different timeframes, traders can detect alignments or divergences in volume flow that might indicate trend strength or weakness.
Cumulative Delta and Dynamic Bands: The cumulative delta is computed by combining the average and median VFI values. Dynamic two-standard-deviation bands are plotted around this cumulative delta, providing upper and lower bounds for expected price movements. These bands are further smoothed with a 21-period EMA, enhancing their effectiveness in volatile markets.
Delta Analysis and Histogram Display: The difference between the VFI and its signal line (delta) is calculated and displayed as histograms. This visual representation helps traders quickly assess momentum and identify potential reversals or trend continuations. The cumulative delta is color-coded dynamically based on its direction, adding an extra layer of visual clarity.
Alerts
VFI Crossover Alerts: The indicator includes customizable alerts that notify traders when the VFI crosses above or below its signal line. These alerts are crucial for catching potential trend reversals or continuation signals, even when the trader is not actively monitoring the chart.
Customizable Alert Conditions: Traders can tailor alert conditions to their preferred timeframes and VFI settings, ensuring that the notifications they receive are relevant and timely for their specific trading strategies.
Application
Trend Identification and Confirmation: The MTF VFI aids in identifying and confirming trends by analyzing volume flow across multiple timeframes. This capability is particularly useful for detecting trends that may not be visible on a single timeframe.
Momentum and Divergence Analysis: By comparing VFI and delta values across timeframes, and analyzing cumulative delta with dynamic bands, traders can gain insights into market momentum and potential divergences, which are often precursors to reversals.
Strategic Decision-Making: With its comprehensive multi-timeframe analysis, cumulative delta, and statistical summaries, the MTF VFI equips traders with the information needed to make informed trading decisions, whether for short-term trades or long-term investments.
Visual Clarity and Customization: The indicator’s dynamic display options and neutral candle coloring help traders maintain a clear and focused view of the market, customizing the visualization to match their specific needs.
The MTF Volume Flow Indicator (MTF VFI) by CryptoSea is an essential tool for traders who seek to gain a deeper understanding of market trends and volume dynamics across multiple timeframes. Its advanced features and customization options make it a valuable addition to any trader’s toolkit.
Signals
Ehlers Band-Pass FilterHeyo,
This indicator is an original translation from Ehlers' book "Cycle Analytics for Traders Advanced".
First, I describe the indicator as usual and later you can find a very insightful quote of the book.
Key Features
Signal Line: Represents the output of the band-pass filter, highlighting the dominant cycle in the data.
Trigger Line: A leading indicator derived from the signal line, providing early signals for potential market reversals.
Dominant Cycle: Measures the dominant cycle period by counting the number of bars between zero crossings of the band-pass filter output.
Calculation:
The band-pass filter is implemented using a combination of high-pass and low-pass filters.
The filter's parameters, such as period and bandwidth, can be adjusted to tune the filter to specific market cycles.
The signal line is normalized using an Automatic Gain Control (AGC) to provide consistent amplitude regardless of price swings.
The trigger line is derived by applying a high-pass filter to the signal line, creating a leading
waveform.
Usage
The indicator is effective in identifying peaks and valleys in the market data.
It works best in cyclic market conditions and may produce false signals during trending periods.
The dominant cycle measurement helps traders understand the prevailing market cycle length, aiding in better decision-making.
Quoted from the Book
Band-Pass Filters
“A little of the data narrowly passed,” said Tom broadly.
Perhaps the least appreciated and most underutilized filter in technical analysis is the band-pass filter. The band-pass filter simultaneously diminishes the amplitude at low frequencies, qualifying it as a detrender, and diminishes the amplitude at high frequencies, qualifying it as a data smoother.
It passes only those frequency components from input to output in which the trader is interested. The filtering produced by a band-pass filter is superior because the rejection in the stop bands is related to its bandwidth. The degree of rejection of undesired frequency components is called selectivity. The band-stop filter is the dual of the band-pass filter. It rejects a band of frequency components as a notch at the output and passes all other frequency components virtually unattenuated. Since the bandwidth of the deep rejection in the notch is relatively narrow and since the spectrum of market cycles is relatively broad due to systemic noise, the band-stop filter has little application in trading.
Measuring the Cycle Period
The band-pass filter can be used as a relatively simple measurement of the dominant cycle.
A cycle is complete when the waveform crosses zero two times from the last zero crossing. Therefore, each successive zero crossing of the indicator marks a half cycle period. We can establish the dominant cycle period as twice the spacing between successive zero crossings.
When we measure the dominant cycle period this way, it is best to widen the pass band of the band-pass filter to avoid distorting the measurement simply due to the selectivity of the filter. Using an input bandwidth of 0.7 produces an octave-wide pass band. For example, if the center period of the filter is 20 and the relative bandwidth is 0.7, the bandwidth is 14. That means the pass band of the filter extends from 13-bar periods to 27-bar periods.
That is, roughly an octave exists because the longest period is twice the shortest period of the pass band. It is imperative that a high-pass filter is tuned one octave below the half-bandwidth edge of the band-pass filter to ensure a nominal zero mean of the filtered output. Without a zero mean, the zero crossings can have a substantial error.
Since the measurement of the dominant cycle can vary dramatically from zero crossing to zero
crossing, the code limits the change between measurements to be no more than 25 percent.
While measuring the changing dominant cycle period via zero crossings of the band-pass waveform is easy, it is not necessarily the most accurate method.
Best regards,
simwai
Good Luck with your trading! 🙌
Rising & Falling Window Signals [LuxAlgo]The Rising & Falling Window Signals indicator identifies Rising & Falling Window formations on the chart and manages them for use as support and resistance zones. The Rising and Falling Window methods used in this indicator are based on Steve Nison's techniques, emphasizing the importance of these areas to better identify continuation momentum and likely reversal points.
Various filtering settings are included to identify zones of a specific width, as well as hide shorter zones from displaying on their chart, helping the users focus on the most significant zones.
🔶 USAGE
A Window (Rising or Falling) forms when the candle wicks from 2 consecutive candlesticks do not overlap, causing a gap. This gap is considered as a strong market sentiment of upward or downward movement, allowing traders to anticipate the likely direction of future prices.
The formation of a Rising Window is a typical indication that a bullish trend is likely to follow.
The formation of a Falling Window is a typical indication that a bearish trend is likely to follow.
After forming a window, we can interpret the zone as a likely area of support and resistance for the price to return to and react from.
Generally, the extremities of the window are used as support and resistance levels, with opposite extremities being regarded as the strongest point of support/resistance. However, when the window is exceptionally wide, the mid-point is looked upon as the strongest point of support/resistance. Once the price closes beyond the window, the window is no longer seen as supportive.
🔶 DETAILS
The script uses a fairly simple concept and implements it with familiar size and mitigation checks. From the settings of this script, the zones can be controlled based on user preferences.
🔹 Horizontal Zone Control
Horizontal Control Settings manipulate the extension and zone display for each zone; however, these settings do not affect the identification of each zone.
Maximum Live Zone Length: This determines the maximum duration of a zone. Zones will stop extending once the zone is mitigated, or if it has reached the maximum zone length determined by this setting.
Minimum Inactive Zone Length: This will hide mitigated (inactive) zones that are shorter than this setting value, this is used to free up the chart from irrelevant zones.
Extend Historical Zones on Touch: If a zone is unmitigated, but has stopped extending, it is considered a "historical" zone. If the price returns to a historical zone, this setting will cause it to extend to the current bar.
🔹 Vertical Zone Control
Vertical Control Settings filter out windows that are wider or thinner than the desired width range. Each of these settings is specified as "ATR Multipliers".
Minimum Width: Filters out any zones whose width is lower than ATR * Minimum Width.
Maximum Width: Filters out any zones whose width is higher than ATR * Maximum Width.
🔹 Signal Types
Signals are used to identify interactions with the Rising & Falling Window zones. The script has 3 different identification types to choose from:
Note: These are all bullish (rising window) examples of each signal.
Regular: The "regular" signal will fire when the price crosses above the upper extremity of an unmitigated zone.
Engulfing: The "engulfing" signal will fire when a bullish engulfing candlestick pattern occurs while one or more of the candle's wicks are touching the zone.
Wick: The "wick" signal will fire when the low of the candle is below the top of a zone, but the candle then closes above the top of the zone.
🔶 SETTINGS
🔹 Horizontal Zone Control
Maximum Live Zone Length: Maximum duration of newly formed zones.
Minimum Inactive Zone Length: Hides Zones whose length is lower than this setting.
Extend Historical Zones on Touch: Extend historical unmitigated zones when the price reaches the zone to the current bar.
🔹 Vertical Zone Control
Minimum Width: ATR multiplier used to filter out any zones whose width is lower than ATR * Minimum Width.
Maximum Width: ATR multiplier used to filter out any zones whose width is higher than ATR * Maximum Width.
Show Midlines: Determine if the zone midlines are displayed.
🔹 Signals
Show Zone Tests: Determine if signals appearing on zone tests are displayed.
Test Type: Sets the signal method for zone tests.
Signal Size: Sets label size for displayed signals.
Pace ProOverview
The Pace Pro indicator is a robust trend-following tool designed for versatile application across various timeframes and markets, including stocks, forex, futures and cryptocurrencies. It provides traders with "bull" and "bear" signals, take profit (TP) signals, and volume spike indications. This indicator aims to help traders identify potential trading opportunities through trends, reversals and price exhaustion.
Key Features
Bull and Bear Signals: Pace Pro generates green "bull" and red "bear" signals based on a trend strength score derived from an aggregation of components.
Take Profit (TP) Signals: The indicator plots black "TP" signals at areas of price exhaustion.
Volume Spike Indicators: The indicator colors candles to signify high volume spikes—light green for high bullish volume and light red for high bearish volume.
Price Clouds: The indicator includes three types of Bollinger Band clouds. These clouds help visualize exhaustion and volatility, providing traders with multiple perspectives on market dynamics.
How it works:
Trend Strength: This score is calculated using a proprietary formula that assesses the magnitude and direction of market movement with standard deviation and regression analysis. Standard deviation computes the average price over a specified period and then calculates the standard deviation of prices from this average. A linear regression is performed on the closing prices over a specified period. The slope of the regression line is used to identify the trend direction, and the standard deviation is used to assess trend stability and filter out noise, working together to clearly identify direction and robustness. Bull/Bear signals are produced based on trend strength reaching specific thresholds, configurable in the settings.
Overbought/Oversold Strength: This strength identifies price exhaustion using a unique formula that aggregates values from several indicators such as RVI, RSI and CCI. RVI captures price trends, RSI measures momentum, and CCI identifies price deviations from the mean, providing a comprehensive view of market conditions. Take profit signals are plotted at points of high price exhaustion, indicating optimal exit prices.
Volume Analysis: Volume spikes are identified and highlighted with colored candles using an ATR calculation that pinpoints outliers in volume. This is calculated using the math.abs function, identifying volume spikes in the last 14 bars. Volume spike candle size can be configured in settings to the user's liking.
Bollinger Band Clouds: The indicator employs Bollinger Band clouds based on WMA, VWMA, and EMA to provide a comprehensive view of market volatility and trend strength. WMA responds quickly to price changes, VWMA incorporates volume, and EMA smooths out data, offering a unique and adaptive perspective on market conditions. This combination is used to provide a unique perspective on market volatility, utilizing different moving averages. These clouds adapt to price fluctuations and offer visual cues to enhance trend analysis.
Utility
This tool provides traders with valuable information for trend-following and reversal strategies across different timeframes. It helps traders by:
-Generating "bull" and "bear" signals to indicate potential long, short and exit points. The precise calculation methods and statistical components used in deriving the trend strength score are designed to filter out market noise and provide a clear indication of prevailing market trends.
-Providing "TP" signals at areas of price exhaustion, areas where taking profit is optimal. These also serve as potential reversal points in the market as they incorporate reversion analysis techniques.
-Highlighting high volume spikes with colored candles to indicate significant market activity. These volatile candles can indicate a significant and rapid surge in price.
-Offering visual insights through Bollinger Band clouds, which help traders assess overbought and oversold conditions on a broad scale. These aid in visualizing potential reversals in the market.
Rationale and Benefits of Component Combination
The combination of trend strength, overbought/oversold strength, volume analysis, and Bollinger Band clouds provides a holistic approach to market analysis and allows users to use various techniques of trading analysis to make sound trading decisions. Each component serves a distinct purpose:
-Trend Strength identifies and confirms the direction and magnitude of market trends, offering clear bull and bear signals. A trend score is calculated to clearly identify where price is strongly trending and where it is quite weak. This customizable feature allows traders to configure this indicator to their liking by only plotting signals when the trend reaches a desired threshold.
-Overbought/Oversold Strength pinpoints areas of price exhaustion, providing crucial take profit and reversal conditions in the market. I combine RSI, RVI, and CCI to provide a more robust reversion score. My rationale for this is to leverage data from multiple indicators, to ensure a comprehensive assessment of price exhaustion rather than relying on a single source.
-Volume Analysis highlights significant market activity, giving traders insights into potential price movements. This feature is included to provide users with a visual representation of price pumps/dumps, that can aid in trading decisions in combination with entry and exit signals.
-Bollinger Band Clouds offer a visual representation of market volatility and trend strength, enhancing the overall analytical framework. Bands were calculated using a mixture of WMA, VWMA, and EMA to diversify data and to bring variety to its display. This can enhance its use as it does not use a single data source and relies on multiple.
Uniqueness:
This indicator stands out due to its innovative integration of standard deviation and regression analysis, offering traders a unique and comprehensive market analysis tool. By combining standard deviation to measure volatility and filter out noise with regression analysis to identify trend direction and strength, it provides insightful trend signals that help traders make informed decisions. This indicator's versatility is enhanced by its customizable settings, allowing traders to adapt it to their specific needs and trading styles with the trend sensitivity setting. Combining RSI, RVI, and CCI for reversion and exit points is unique as it integrates multiple perspectives on price momentum and volatility, providing a more comprehensive assessment of price exhaustion than using any single indicator. Combining WMA, EMA, and VWMA as bands is beneficial and unique as it blends different averaging methods to offer a more nuanced and adaptive view of market volatility and trend strength.
By integrating these components, it delivers a multifaceted tool that addresses various aspects of market analysis, making it a valuable asset for traders seeking to improve their decision-making process.
Disclaimer
Trading involves substantial risk and is not suitable for every investor. This indicator is designed to assist in decision-making but does not guarantee profits or prevent losses. Always conduct your own research and consider seeking advice from a financial professional.
Market Waves [BigBeluga]MARKET WAVES
Market Waves The Market Waves [ BigBeluga ] is an all in one toolkit focusing on trends, accumulations and identifying market structures right on your chart. It is lightweight and powerful in its approaches, taking unique mathematical approaches to classical tools.
⬤ Signals
The Beluga Signals combine tested powerful ideas into a single tool. They are designed to follow trends and reduce noise in the market using low pass filtering methods. There are two types of signals founds in this toolkit; normal and power signals. Power signals are signals with a + in them indicating that the signal may be more likely to play out.
These are great when used in confluence with other trend following tools to filter them for even greater performance. Naturally traders will want to use these with confluence to confirm the trend identification.
The signals come with take profits built in. Ticks are placed on the chart indicating a potential areas to be taking profit. Using these as exits can be powerful especially when using confluence. Max Profit labels are also produced suggesting it really is the ideal time to be exiting the market before a reversal comes.
By leveraging unique low lag methods and filtering approaches, these signals offer a unique edge when compared to classical TSL such as a SuperTrend or PSAR.
⬤ Smooth Trend
The Smooth Trend (shown here with green and red shadows) also focuses on low lag noise filtering. This unique system is perfect when used for entries or as a filter. Users are able to adjust how fast or slow the trend is identified.
In the example above, we see a sell signal during the time the smooth trend is green. Therefore using confluence we can filter out the signal and proceed to take our power buy signal.
Percentages are also provided at the start of the trend. These indicate the probability this really is a new trend. In the image above we again see the trends are both labelled as 100% and the system is fully confident what we were seeing was indeed a trend reversal.
Although it may appear as a classical trend following tool, again it's uniqueness lies in its ability to locate market bottoms and respond to trends.
⬤ The Trend Accumulations
This feature focuses on elegant trend and range identification making trader's lives easier. By not cluttering the chart this system allows traders to see an asset's behavior without overlays.
Uptrends, downtrends and ranges are identified with uptrends showing with a green base line, downtrends with a red one and ranges/accumulations in blue. As shown in the image above; this is a powerful system to avoid trading ranges/chop in the market. We see a blue accumulation zone, this means the market is best to avoid. We then transition to a faint green suggesting the market is starting to move upwards.
Leveraging range detection techniques, this gives responsive market structure identification at a glance.
⬤ Voltix Bands
The Voltix Bands are a type of volatility-based band used to gauge market volatility and identify potential trading opportunities. These bands consist of two components: an upper band and a lower band. The distance between the bands fluctuates based on market volatility. When the market is highly volatile, the bands widen, and when volatility is low, the bands contract. They are unique as they uniquely apply distributions and weight volatility accordingly.
How to Use Voltix Bands:
When the price moves outside the Voltix Bands, it often signals a potential breakout. A close above the upper band may indicate the start of an upward trend, while a close below the lower band might signal the beginning of a downward trend.
Traders often use these breakout signals to enter trades in the direction of the breakout.
Detecting Overbought and Oversold Conditions:
When the price touches or moves beyond the upper Voltix Band, it can suggest that the market is overbought, indicating a potential reversal or pullback.
Conversely, when the price touches or drops below the lower Voltix Band, it may indicate an oversold condition, suggesting a possible price increase or trend reversal.
Volatility Contraction and Expansion:
Tightening Voltix Bands (when the bands contract) often precedes a significant price movement. This phenomenon is known as the "squeeze." When the bands tighten, it indicates a period of low volatility, and traders often anticipate an imminent breakout in either direction.
Widening Voltix Bands (when the bands expand) signal increasing volatility. Traders can use this as a cue to either ride the trend or be cautious of potential reversals.
Trend Following:
In trending markets, the price often stays close to the upper or lower band for extended periods. Traders can use this characteristic to follow the trend, staying long when the price is near the upper band and short when it is near the lower band. The bands also provide color coding and are green during an uptrend and purple during a downtrend.
⬤ Candle Coloring
1. Volume-Based Candle Coloring
Volume-based candle coloring mode changes the color of each candlestick according to the trading volume associated with that period. This method helps traders quickly identify periods of high or low market activity and understand the strength behind price movements.
How It Works:
High Volume: Candles are colored differently (red bearish, bright blue for bullish) when the trading volume is significantly higher than the average. This indicates strong buying or selling interest.
This mode is useful for identifying potential breakouts or fakeouts. For example, a price breakout accompanied by high volume suggests a strong move, while a breakout on low volume might indicate a lack of conviction, potentially leading to a false breakout.
2. Trend-Based Candle Coloring
Trend-based candle coloring mode changes the color of candlesticks depending on the current market trend, helping traders visually distinguish between bullish and bearish phases and neutral periods.
How It Works:
Bullish Trend: Candles are colored green when the price is in an uptrend.
Bearish Trend: Candles are colored red when the price is in a downtrend.
Usage:
This mode is beneficial for trend-following strategies, allowing traders to quickly assess the overall market direction and align their trades with the prevailing trend.
3. Momentum-Based Candle Coloring
In this momentum-based candle coloring mode, candlesticks are colored yellow for strong bullish momentum and pink for strong bearish momentum. This visual approach highlights the intensity of market movements, helping traders quickly identify prevailing momentum and potential trend shifts.
How It Works:
Strong Bullish Momentum (Yellow Candles):
Candles turn yellow when the market exhibits strong upward momentum. This might be triggered by a proprietary technique that detects when buying pressure is significantly driving prices higher, indicating that the market is experiencing robust bullish activity.
Yellow candles suggest that the price is likely to continue rising, and traders may look to capitalize on this momentum.
Strong Bearish Momentum (Pink Candles):
Candles turn pink when strong downward momentum is detected. The same technique identifies when selling pressure is dominant, pushing prices lower at a significant pace.
Pink candles indicate that bearish forces are strong, with the price likely to keep declining, making it a potential opportunity for short-selling or exiting long positions.
This color scheme is particularly beneficial for traders who prioritize momentum-based strategies. The clear distinction between strong bullish (yellow) and bearish (pink) momentum provides an instant visual cue, enabling quick decision-making.
Entering Trades:
Traders might choose to enter long positions when a series of yellow candles appears, indicating strong bullish momentum.
Alternatively, pink candles may signal an opportune moment to enter short positions, capturing the market's downward momentum.
Exiting Trades:
A shift from pink to yellow candles in a previously bearish trend could indicate a reversal, prompting traders to exit short positions.
The Market Waves toolkit is a powerful collection of unique and powerful tools. Please use DD when trading and always manage risk.
Market Oracle Plus [ChartPrime]ChartPrime Oracle Plus combines actionable, elegant and functional indicators into a single toolkit. It builds upon previously laid out creations in order to create a more advanced experience. Combinations of both trend following and contrarian logic aim to provide traders with a deeper insight into market movements; aiming to assist in better entries and exits.
Designed and created by the ChartPrime team, this toolkit takes deeper level theory and expresses it in a usable format for traders. ChartPrime Oracle Plus is designed to satisfy and cover major trading theories allowing the user to pick and select the features that fit them.
Trend signals, Prime Ranges and Quantum Reactor
When using any indicator suite it is important to understand these tools are there to assist trading rather than to be a single source of truth. Functionality such as Auto Maximization of parameters is there to guide and enhance user experience, however it is important to be aware of overfitting results.
Plus features:
ChartPrime Market Oracle Plus has introduced some unique additions in order to enhance traders’ experiences.
Custom Signals: Toolkits and signals often limit traders to a single algorithm. This reduces flexibility and adaptability in the market. Traders will often want to develop their own systems without the constraints of an existing one. Market Oracle Plus introduces a custom signals builder; taking components in the toolkit and allowing them to be combined into a single signal/alert. Want a signal when the trend changes with bullish candlestick patterns? With a few clicks this can now be enabled. Traders can also set alerts on their custom signals making automating trades easier than ever.
Custom signals labelled with a cross
The Quantum tools. Looking at the tiny in the market and making it clearer.
Quantum Bands: The quantum bands provide areas of highly likely reversals to occur by analysing market momentum and noise. They can be used classically and are comparable in application to the commonly used bollinger bands. When price finds itself inside a zone it is more likely to reverse. This is excellent when used in confluence with other reversal indicators. The reason these bands are unique is their ability to adapt to trending markets allowing not only reversals to be identified in ranging markets but also trending ones leveraging volatility calculations. They also enable the user to use MTF functionality to load bands from higher timeframes. This allows users to have a broader perspective of support and resistance levels in the market.
The quantum bands are powerful for scalpers who want faster entries and exits. Entering a trade on a bands extremity can give earlier entries and exiting on the touch of the opposing band can serve as a great take profit.
Quantum Bands bounce
Quantum Reactor: The quantum reactor is a custom weighted moving average analyzing trends in the market. Unlike another moving averages; weighting has been considered to account for ranging markets. The Reactor will turn gray in a ranging market to avoid chop allowing for filtering of trades. This offers a unique insight into price action. Classical moving averages will constantly attempt to re-adapt to a trend whereas the Reactor will avoid adaptation where it sees fit.
Filtering a ranging market
Features included & Use cases:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. The ChartPrime Auto Maximizer will automatically apply a backtested parameter and display the "best performing signals" on your chart. It is important to note this is not indicative of future results. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore is designed to have a uniqueness when compared to more classical trend following approaches.
Candle Highlighting: Choose between a clean gradient or more classical red/green coloring. These color the candles to assist with trend identification.
ChartPrime Dashboard: This redesigned dashboard provides 4 simple to interpret metrics. Firstly, the Optimal Tuning box provides a backtested result giving you the most accurate input. Again, it is important to note this is not indicative of future results. A Prime Score is also provided. This metric is a collection of ChartPrime trend following indicators bundled into a single item. It ranges from 0 (being a very bearish trend) to 10 (being a very bullish trend). 5 would indicate a ranging market. A consolidation score is also provided showing how "ranging" the market is. 10 being a low volatility and consolidating market and 0 being a more volatile and trending market which can assist the trader in avoiding ranges (if undesired). Finally the market prophecy gives simple forecasts in text form giving outlooks on potential activity.
The unique bar based visualization makes it clearer than ever to quantify key metrics on your chart.
Additional Features:
The Dynamic Reactor provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique low lag adaptivity calculations gives this plot a unique and fast behavior. This gives a unique edge to standard high length moving averages.
The Prime Ranges provide VWAP inspired real time actionable ranges on your chart. These ranges provide support and resistance levels as well as coloring, once again, there to aid trend identification. By generating a distribution and projecting it we produce real time levels for traders.
Candlestick structures analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Settings:
Signal Mode: Drop down to select the types of signals wanted
Tuning: Integer input to adjust signal's responsiveness. Lower inputs result in more frequent signals being produced.
Auto Maximizer Toggle: Automatically apply a backtested parameter to the signals
Dashboard Size: Drop down to select the size of the dashboard
Dashboard Position: Change the location of the dashboard on your chart
Additional Features: A set of toggles turning on/off these indicators.
Example Usecases:
Trend based confluences:
ChartPrime Oracle Plus provides classical (all be-it self optimizing) trend based signals. When trading, taking into consideration other forms of confluences are crucial. Take the image below:
Here we see the quantum reactor being green suggesting the market was in an upwards trend. We then see a sell signal appear. Knowing that we were in a macro uptrend allows us to filter out signals that go against this. Albeit basic; understanding multi-level confluence is key.
Features such as the Prime Ranges have duplicate usecases whereby a trend can be identified via the color of the bands as well as providing TP/SL levels. Considering these assisting features is vital before entering a trade.
Contrarian trading methodologies:
Commonly; trading with a trending market is most well known. However; markets are just as susceptible to ranging behaviors. ChartPrime has designed this toolkit to cater to most market conditions. For example, finding confluence between reversal indicators such as our contrarian signals and the Quantum Band can provide for some very strong confluence that can help a trader attempt to enter at bottoms of retracements and achieve the best possible entries or exits.
Developing confluences as shown above can be key to a trader's success. It is important to avoid biases when looking at indicators and view the market as objectively as possible.
ChartPrime believes that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
Risk Disclaimer
All content and developments created by ChartPrime are purely for informational & educational purposes only. Past performance does not guarantee future results. Suggested usecases are theoretical.
Polynomial Regression Keltner Channel [ChartPrime]Polynomial Regression Keltner Channel
⯁ OVERVIEW
The Polynomial Regression Keltner Channel [ ChartPrime ] indicator is an advanced technical analysis tool that combines polynomial regression with dynamic Keltner Channels. This indicator provides traders with a sophisticated method for trend analysis, volatility assessment, and identifying potential overbought and oversold conditions.
◆ KEY FEATURES
Polynomial Regression: Uses polynomial regression for trend analysis and channel basis calculation.
Dynamic Keltner Channels: Implements Keltner Channels with adaptive volatility-based bands.
Overbought/Oversold Detection: Provides visual cues for potential overbought and oversold market conditions.
Trend Identification: Offers clear trend direction signals and change indicators.
Multiple Band Levels: Displays four levels of upper and lower bands for detailed market structure analysis.
Customizable Visualization: Allows toggling of additional indicator lines and signals for enhanced chart analysis.
◆ FUNCTIONALITY DETAILS
⬥ Polynomial Regression Calculation:
Implements a custom polynomial regression function for trend analysis.
Serves as the basis for the Keltner Channel, providing a smoothed centerline.
//@function Calculates polynomial regression
//@param src (series float) Source price series
//@param length (int) Lookback period
//@returns (float) Polynomial regression value for the current bar
polynomial_regression(src, length) =>
sumX = 0.0
sumY = 0.0
sumXY = 0.0
sumX2 = 0.0
sumX3 = 0.0
sumX4 = 0.0
sumX2Y = 0.0
n = float(length)
for i = 0 to n - 1
x = float(i)
y = src
sumX += x
sumY += y
sumXY += x * y
sumX2 += x * x
sumX3 += x * x * x
sumX4 += x * x * x * x
sumX2Y += x * x * y
slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX)
intercept = (sumY - slope * sumX) / n
n - 1 * slope + intercept
⬥ Dynamic Keltner Channel Bands:
Calculates ATR-based volatility for dynamic band width adjustment.
Uses a base multiplier and adaptive volatility factor for flexible band calculation.
Generates four levels of upper and lower bands for detailed market structure analysis.
atr = ta.atr(length)
atr_sma = ta.sma(atr, 10)
// Calculate Keltner Channel Bands
dynamicMultiplier = (1 + (atr / atr_sma)) * baseATRMultiplier
volatility_basis = (1 + (atr / atr_sma)) * dynamicMultiplier * atr
⬥ Overbought/Oversold Indicator line and Trend Line:
Calculates an OB/OS value based on the price position relative to the innermost bands.
Provides visual representation through color gradients and optional signal markers.
Determines trend direction based on the polynomial regression line movement.
Generates signals for trend changes, overbought/oversold conditions, and band crossovers.
◆ USAGE
Trend Analysis: Use the color and direction of the basis line to identify overall trend direction.
Volatility Assessment: The width and expansion/contraction of the bands indicate market volatility.
Support/Resistance Levels: Multiple band levels can serve as potential support and resistance areas.
Overbought/Oversold Trading: Utilize OB/OS signals for potential reversal or pullback trades.
Breakout Detection: Monitor price crossovers of the outermost bands for potential breakout trades.
⯁ USER INPUTS
Length: Sets the lookback period for calculations (default: 100).
Source: Defines the price data used for calculations (default: HLC3).
Base ATR Multiplier: Adjusts the base width of the Keltner Channels (default: 0.1).
Indicator Lines: Toggle to show additional indicator lines and signals (default: false).
⯁ TECHNICAL NOTES
Implements a custom polynomial regression function for efficient trend calculation.
Uses dynamic ATR-based volatility adjustment for adaptive channel width.
Employs color gradients and opacity levels for intuitive visual representation of market conditions.
Utilizes Pine Script's plotchar function for efficient rendering of signals and heatmaps.
The Polynomial Regression Keltner Channel indicator offers traders a sophisticated tool for trend analysis, volatility assessment, and trade signal generation. By combining polynomial regression with dynamic Keltner Channels, it provides a comprehensive view of market structure and potential trading opportunities. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
Fear/Greed Zone Reversals [UAlgo]The "Fear/Greed Zone Reversals " indicator is a custom technical analysis tool designed for TradingView, aimed at identifying potential reversal points in the market based on sentiment zones characterized by fear and greed. This indicator utilizes a combination of moving averages, standard deviations, and price action to detect when the market transitions from extreme fear to greed or vice versa. By identifying these critical turning points, traders can gain insights into potential buy or sell opportunities.
🔶 Key Features
Customizable Moving Averages: The indicator allows users to select from various types of moving averages (SMA, EMA, WMA, VWMA, HMA) for both fear and greed zone calculations, enabling flexible adaptation to different trading strategies.
Fear Zone Settings:
Fear Source: Select the price data point (e.g., close, high, low) used for Fear Zone calculations.
Fear Period: This defines the lookback window for calculating the Fear Zone deviation.
Fear Stdev Period: This sets the period used to calculate the standard deviation of the Fear Zone deviation.
Greed Zone Settings:
Greed Source: Select the price data point (e.g., close, high, low) used for Greed Zone calculations.
Greed Period: This defines the lookback window for calculating the Greed Zone deviation.
Greed Stdev Period: This sets the period used to calculate the standard deviation of the Greed Zone deviation.
Alert Conditions: Integrated alert conditions notify traders in real-time when a reversal in the fear or greed zone is detected, allowing for timely decision-making.
🔶 Interpreting Indicator
Greed Zone: A Greed Zone is highlighted when the price deviates significantly above the chosen moving average. This suggests market sentiment might be leaning towards greed, potentially indicating a selling opportunity.
Fear Zone Reversal: A Fear Zone is highlighted when the price deviates significantly below the chosen moving average of the selected price source. This suggests market sentiment might be leaning towards fear, potentially indicating a buying opportunity. When the indicator identifies a reversal from a fear zone, it suggests that the market is transitioning from a period of intense selling pressure to a more neutral or potentially bullish state. This is typically indicated by an upward arrow (▲) on the chart, signaling a potential buy opportunity. The fear zone is characterized by high price volatility and overselling, making it a crucial point for traders to consider entering the market.
Greed Zone Reversal: Conversely, a Greed Zone is highlighted when the price deviates significantly above the chosen moving average. This suggests market sentiment might be leaning towards greed, potentially indicating a selling opportunity. When the indicator detects a reversal from a greed zone, it indicates that the market may be moving from an overbought condition back to a more neutral or bearish state. This is marked by a downward arrow (▼) on the chart, suggesting a potential sell opportunity. The greed zone is often associated with overconfidence and high buying activity, which can precede a market correction.
🔶 Why offer multiple moving average types?
By providing various moving average types (SMA, EMA, WMA, VWMA, HMA) , the indicator offers greater flexibility for traders to tailor the indicator to their specific trading strategies and market preferences. Different moving averages react differently to price data and can produce varying signals.
SMA (Simple Moving Average): Provides an equal weighting to all data points within the specified period.
EMA (Exponential Moving Average): Gives more weight to recent data points, making it more responsive to price changes.
WMA (Weighted Moving Average): Allows for custom weighting of data points, providing more flexibility in the calculation.
VWMA (Volume Weighted Moving Average): Considers both price and volume data, giving more weight to periods with higher trading volume.
HMA (Hull Moving Average): A combination of weighted moving averages designed to reduce lag and provide a smoother curve.
Offering multiple options allows traders to:
Experiment: Traders can try different moving averages to see which one produces the most accurate signals for their specific market.
Adapt to different market conditions: Different market conditions may require different moving average types. For example, a fast-moving market might benefit from a faster moving average like an EMA, while a slower-moving market might be better suited to a slower moving average like an SMA.
Personalize: Traders can choose the moving average that best aligns with their personal trading style and risk tolerance.
In essence, providing a variety of moving average types empowers traders to create a more personalized and effective trading experience.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Enhanced Alligator Trend Indicator By Er. Parvez HaleemPurpose: The Enhanced Alligator Trend Indicator aims to identify strong and reliable buy and sell signals on the price chart by combining the Alligator Indicator with trend strength and volume filters. It is specifically designed for use on a 1-minute chart to enhance precision in short-term trading decisions.
Components:
Alligator Indicator:
Jaw Line (Blue): Calculated as a simple moving average (SMA) of the closing price over a specified period (default: 13 bars). Represents the long-term trend.
Teeth Line (Red): Calculated as a simple moving average (SMA) of the closing price over a shorter period (default: 8 bars). Represents the medium-term trend.
Lips Line (Green): Calculated as a simple moving average (SMA) of the closing price over an even shorter period (default: 5 bars). Represents the short-term trend.
Trend Strength Indicator:
Relative Strength Index (RSI): Measures the strength of the current trend, using a default period of 14 bars. RSI values above 50 suggest a bullish trend, while values below 50 suggest a bearish trend.
Volume Filter:
Volume Threshold: Filters signals based on trading volume to ensure they only appear when volume exceeds a specified threshold (default: 100,000). This helps to avoid low-volume noise and enhance signal reliability.
Additional Trend Filters:
Short-Term SMA: A simple moving average with a default period of 20 bars, used to assess short-term trend direction.
Long-Term SMA: A simple moving average with a default period of 50 bars, used to assess long-term trend direction.
SMA Crossover: A bullish crossover occurs when the short-term SMA is above the long-term SMA, and a bearish crossover occurs when the short-term SMA is below the long-term SMA.
Signal Generation:
Buy Signal: Generated when:
The Lips line is above the Teeth line, and the Teeth line is above the Jaw line (indicating a bullish alignment in the Alligator Indicator).
The RSI is above 50 (indicating strong bullish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is above the long-term SMA (confirming a bullish trend).
Sell Signal: Generated when:
The Lips line is below the Teeth line, and the Teeth line is below the Jaw line (indicating a bearish alignment in the Alligator Indicator).
The RSI is below 50 (indicating strong bearish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is below the long-term SMA (confirming a bearish trend).
Plotting on Chart:
Alligator Lines: The Jaw, Teeth, and Lips lines are plotted directly on the price chart in blue, red, and green, respectively, to indicate the long-term, medium-term, and short-term trends.
Buy/Sell Signals: Buy signals are plotted below the price bars in green, and sell signals are plotted above the price bars in red. These signals are marked with labels ("BUY" and "SELL") to clearly indicate trading opportunities.
Debugging: RSI and SMA lines are plotted but hidden by default. They can be revealed for verification purposes to ensure the correctness of the indicator’s calculations.
Alerts:
Buy Alert: Triggers when a buy signal condition is met, sending a notification that a buy opportunity has been identified.
Sell Alert: Triggers when a sell signal condition is met, sending a notification that a sell opportunity has been identified.
Trend Strength | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Trend Strength indicator! Latest trends and their strengths play an important role for traders. This indicator aims to make trend and strength detection much easier by coloring candlesticks based on the current strength of trend. More info about the process in the "How Does It Work" section.
Features of the new Trend Strength Indicator :
3 Trend Detection Algorithms Combined (RSI, Supertrend & EMA Cross)
Fully Customizable Algorithm
Strength Labels
Customizable Colors For Bullish, Neutral & Bearish Trends
📌 HOW DOES IT WORK ?
This indicator uses three different methods of trend detection and combines them all into one value. First, the RSI is calculated. The RSI outputs a value between 0 & 100, which this indicator maps into -100 <-> 100. Let this value be named RSI. Then, the Supertrend is calculated. Let SPR be -1 if the calculated Supertrend is bearish, and 1 if it's bullish. After that, latest EMA Cross is calculated. This is done by checking the distance between the two EMA's adjusted by the user. Let EMADiff = EMA1 - EMA2. Then EMADiff is mapped from -ATR * 2 <-> ATR * 2 to -100 <-> 100.
Then a Total Strength (TS) is calculated by given formula : RSI * 0.5 + SPR * 0.2 + EMADiff * 0.3
The TS value is between -100 <-> 100, -100 being fully bearish, 0 being true neutral and 100 being fully bullish.
Then the Total Strength is converted into a color adjusted by the user. The candlesticks in the chart will be presented with the calculated color.
If the Labels setting is enabled, each time the trend changes direction a label will appear indicating the new direction. The latest candlestick will always show the current trend with a label.
EMA = Exponential Moving Average
RSI = Relative Strength Index
ATR = Average True Range
🚩 UNIQUENESS
The main point that differentiates this indicator from others is it's simplicity and customization options. The indicator interprets trend and strength detection in it's own way, combining 3 different well-known trend detection methods: RSI, Supertrend & EMA Cross into one simple method. The algorithm is fully customizable and all styling options are adjustable for the user's liking.
⚙️ SETTINGS
1. General Configuration
Detection Length -> This setting determines the amount of candlesticks the indicator will look for trend detection. Higher settings may help the indicator find longer trends, while lower settings will help with finding smaller trends.
Smoothing -> Higher settings will result in longer periods of time required for trend to change direction from bullish to bearish and vice versa.
EMA Lengths -> You can enter two EMA Lengths here, the second one must be longer than the first one. When the shorter one crosses under the longer one, this will be a bearish sign, and if it crosses above it will be a bullish sign for the indicator.
Labels -> Enables / Disables trend strength labels.
Relative Strength according to Oster (RSO)Overview:
Relative Strength according to Oster (RSO) is an innovative tool that redefines how traders assess an asset's market strength. Moving beyond traditional indicators, RSO offers a sophisticated and highly responsive measure of an asset's potential to continue performing well. By integrating groundbreaking methodologies, RSO equips traders with unparalleled insights into market dynamics, making it an essential tool for anyone looking to stay ahead in today's fast-paced trading environment.
Understanding RSL (Relative Strength according to Levy):
At its core, Relative Strength according to Levy (RSL) is a powerful concept rooted in the idea that an asset currently exhibiting strength is more likely to maintain or even enhance that strength in the future. RSL calculates this by comparing an asset's current price to its moving average, providing a clear picture of its relative performance over time. The further its value is above 1, the higher the market momentum and vice versa. This relationship to the moving average is crucial, as it indicates not just where the asset stands today but also its trajectory in the context of historical performance. The ability to identify assets that consistently outperform is a game-changer for traders, and RSL has long been a cornerstone in this pursuit.
RSO vs. Traditional RSL: A Leap Forward
The RSO takes the traditional RSL concept and propels it into new territory with its innovative correlation-based approach. This is where RSO truly shines, offering a unique and sophisticated analysis that goes far beyond the basics.
Why RSO is Revolutionary:
Correlation Adjustment: The RSO doesn’t just measure an asset’s strength in isolation. Instead, it adjusts its readings based on how closely the asset's price movements correlate with a chosen benchmark. This groundbreaking feature ensures that the RSO is not just reactive to past performance but also predictive of how the asset might behave relative to the broader market, adding a layer of precision that is unparalleled in traditional strength indicators.
Superior Strength Option: With the RSO, traders have the option to include superior strength factors, adding another dimension of insight. This feature allows for more stable and reliable long-term signals. On the flip side, those who prefer a more dynamic trading style can opt to exclude this factor for more frequent, shorter-term signals. This level of customization is rare and sets the RSO apart as a truly adaptable tool.
Enhanced Market Insights: RSO’s correlation-based approach doesn’t just show how strong an asset is—it reveals how that strength is likely to develop in relation to the benchmark's underlying trends. This isn’t merely about comparing performance; it’s about understanding the asset’s potential trajectory in a much broader market context. Such insight is invaluable for making informed, strategic trading decisions.
Practical Application:
The RSO isn’t just innovative in theory; it’s designed for practical, real-world trading. Traders can set customized alerts based on RSO’s readings, ensuring they’re always aware of key buy or sell signals as they occur. The flexibility to include or exclude superior strength factors means that RSO can be tailored to fit any trading style, whether focused on long-term investments or short-term opportunities.
Conclusion:
In conclusion, the Relative Strength according to Oster (RSO) is more than just an indicator; it’s a breakthrough in market analysis. By integrating correlation adjustments and offering unparalleled customization options, RSO provides traders with insights that are both deeper and more actionable than ever before. This innovative tool is designed to empower traders, giving them the edge they need to succeed in an increasingly complex market landscape. Whether you’re a seasoned trader or just starting out, the RSO is a must-have tool for navigating market trends with confidence and precision.
Ultimate Bands [BigBeluga]Ultimate Bands
The Ultimate Bands indicator is an advanced technical analysis tool that combines elements of volatility bands, oscillators, and trend analysis. It provides traders with a comprehensive view of market conditions, including trend direction, momentum, and potential reversal points.
🔵 KEY FEATURES
● Ultimate Bands
Consists of an upper band, lower band, and a smooth middle line
Based on John Ehler's SuperSmoother algorithm for reduced lag
Bands are calculated using Root Mean Square Deviation (RMSD) for adaptive volatility measurement
Helps identify potential support and resistance levels
● Ultimate Oscillator
Derived from the price position relative to the Ultimate Bands
Oscillates between overbought and oversold levels
Provides insights into potential reversals and trend strength
● Trend Signal Line
Based on a Hull Moving Average (HMA) of the Ultimate Oscillator
Helps identify the overall trend direction
Color-coded for easy trend interpretation
● Heatmap Visualization
Displays the current state of the oscillator and trend signal
Provides an intuitive visual representation of market conditions
Shows overbought/oversold status and trend direction at a glance
● Breakout Signals
Optional feature to detect and display breakouts beyond the Ultimate Bands
Helps identify potential trend reversals or continuations
Visualized with arrows on the chart and color-coded candles
🔵 HOW TO USE
● Trend Identification
Use the color and position of the Trend Signal Line to determine the overall market trend
Refer to the heatmap for a quick visual confirmation of trend direction
● Entry Signals
Look for price touches or breaks of the Ultimate Bands for potential entry points
Use oscillator extremes in conjunction with band touches for stronger signals
Consider breakout signals (if enabled) for trend-following entries
● Exit Signals
Use opposite band touches or breakouts as potential exit points
Monitor the oscillator for divergences or extreme readings as exit signals
● Overbought/Oversold Analysis
Use the Ultimate Oscillator and heatmap to identify overbought/oversold conditions
Look for potential reversals when the oscillator reaches extreme levels
● Confirmation
Combine Ultimate Bands, Oscillator, and Trend Signal for stronger trade confirmation
Use the heatmap for quick visual confirmation of market conditions
🔵 CUSTOMIZATION
The Ultimate Bands indicator offers several customization options:
Adjust the main calculation length for bands and oscillator
Modify the number of standard deviations for band calculation
Change the signal line length for trend analysis
Toggle the display of breakout signals and candle coloring
By fine-tuning these settings, traders can adapt the Ultimate Bands indicator to various market conditions and personal trading strategies.
The Ultimate Bands indicator provides a multi-faceted approach to market analysis, combining volatility-based bands, oscillator analysis, and trend identification in one comprehensive tool. Its adaptive nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of multiple analytical elements offers traders a rich set of data points to inform their trading decisions.
Market Structure Oscillator [LuxAlgo]The Market Structure Oscillator indicator analyzes and synthesizes short-term, intermediate-term, and long-term market structure shifts and breaks, visualizing the output as oscillators and graphical representations of real-time market structures on the main price chart.
The oscillator presentation of the detected market structures helps traders visualize trend momentum and strength, identifying potential trend reversals, and providing different perspectives to enhance the analysis of classic market structures.
🔶 USAGE
A market structure shift signals a potential change in market sentiment or direction, while a break of structure indicates a continuation of the current trend. Detecting these events in real-time helps traders recognize both trend changes and continuations. The market structure oscillator translates these concepts visually, offering deeper insights into market momentum and strength. It aids traders in identifying overbought or oversold conditions, potential trend reversals, and confirming trend direction.
Oscillators often generate signals based on crossing certain thresholds or diverging from price movements, providing cues for traders to enter or exit positions.
The weights determine the influence of each period (short-term, intermediate-term, long-term) on the final oscillator value. By changing the weights, traders can emphasize or de-emphasize the importance of each period. Higher weights increase their respective market structure's influence on the oscillator value. For example, if the weight for the short-term period is set to 0, the final value of the oscillator will be calculated using only the intermediate-term and long-term market structures.
The indicator features a Cycle Oscillator component, which uses the market structure oscillator values to generate a histogram and provide further insights into market cycles and potential signals. The Cycle Oscillator aids in timing by allowing traders to more easily see the median length of an oscillation around the average point, helping them identify both favorable prices and favorable moments for trading.
Users can also display detected market structures on the price chart by enabling the corresponding market structure toggle from the "Market Structures on Chart" settings group.
🔶 DETAILS
The script initiates its analysis by detecting swing levels, which form the fundamental basis for its operations. It begins by identifying short-term swing points, automatically detected solely based on market movements without any reliance on user-defined input. Short-Term Swing Highs (STH) are peaks in price surrounded by lower highs on both sides, while Short-Term Swing Lows (STL) are troughs surrounded by higher lows.
To identify intermediate-term and long-term swing points, the script uses previously detected short-term swing points as reference points. It examines these points to determine intermediate-term swings and further analyzes intermediate-term swings to identify long-term swing points. This method ensures a thorough and unbiased evaluation of market dynamics, providing traders with reliable insights into market structures.
Once swing levels are detected, the process continues with the analysis of Market Structure Shifts (MSS) and Breaks of Structure (BoS). A Market Structure Shift, also known as a Change of Character (CHoCH), is a critical event in price action analysis that suggests a potential shift in market sentiment or direction. It occurs when the price reverses from an established trend, indicating that the current trend may be losing momentum and a reversal could be imminent.
On the other hand, a Break of Structure signifies the continuation of the existing market trend. This event occurs when the price decisively moves beyond a previous swing high or low, confirming the strength and persistence of the prevailing trend.
The indicator analyzes price patterns using a pure price action approach and identifies market structures for short-term, intermediate-term, and long-term periods. The collected data is then normalized and combined using specified weights to calculate the final Market Structure Oscillator value.
🔶 SETTINGS
The indicator incorporates user-defined settings, allowing users to tailor it according to their preferences and trading strategies.
🔹 Market Structure Oscillator
Market Structure Oscillator: Toggles the visibility of the market structures oscillator.
Short Term Weight: Defines the weight for the short-term market structure.
Intermediate Term Weight: Defines the weight for the intermediate-term market structure.
Long Term Weight: Defines the weight for the long-term market structure.
Oscillator Smoothing: Determines the smoothing factor for the oscillator.
Gradient Colors: Allows customization of bullish and bearish gradient colors.
Market Structure Oscillator Crosses: Provides signals based on market structure oscillator equilibrium level crosses.
🔹 Cycle Oscillator
Cycle Oscillator - Histogram: Toggles the visibility of the cycle oscillator.
Cycle Signal Length: Defines the length of the cycle signal.
Cycle Oscillator Crosses: Provides signals based on cycle oscillator crosses.
🔹 Market Structures on Chart
Market Structures: Allows plotting of market structures (short, intermediate, and long term) on the chart.
Line, Label, and Color: Options to display lines and labels for different market structures with customizable colors.
🔹 Oscillator Components
Oscillators: Separately plots short-term, intermediate-term, and long-term oscillators. Provides options to display these oscillators with customizable colors.
🔶 RELATED SCRIPTS
Market-Structures-(Intrabar)
Multi Deviation Scaled Moving Average [ChartPrime]Multi Deviation Scaled Moving Average ChartPrime
⯁ OVERVIEW
The Multi Deviation Scaled Moving Average is an analysis tool that combines multiple Deviation Scaled Moving Averages (DSMAs) to provide a comprehensive view of market trends. The DSMA, originally created by John Ehlers, is a sophisticated moving average that adapts to market volatility. This indicator offers a unique approach to trend analysis by utilizing a series of DSMAs with different periods and presenting the results through a color-coded line and a visual histogram.
◆ KEY FEATURES
Multiple DSMA Calculation: Computes eight DSMAs with incrementally increasing periods for multi-faceted trend analysis.
Trend Strength Visualization: Provides a color-coded moving average line indicating trend strength and direction.
Trend Percentage Histogram: Displays a visual representation of bullish vs bearish trend percentages.
Signal Generation: Identifies potential entry and exit points based on trend strength crossovers.
Customizable Parameters: Allows users to adjust the base period and sensitivity of the indicator.
◆ USAGE
Trend Direction and Strength: The color and intensity of the main indicator line provide quick insights into the current trend.
Trend Percentage Histogram: The histogram value can give you an idea of the market trend ahead
Entry and Exit Signals: Diamond-shaped markers indicate potential trade entry and exit points based on trend strength shifts.
Trend Bias Assessment: The trend percentage histogram offers a visual representation of the overall market bias.
Multi-Timeframe Analysis: By applying the indicator to different timeframes, traders can gain insights into trends across various time horizons.
⯁ USER INPUTS
Period: Sets the initial calculation period for the DSMAs (default: 30).
Sensitivity: Adjusts the step size between DSMA periods. Lower values increase sensitivity (default: 60, range: 0-100).
Source: Uses HLC3 (High, Low, Close average) as the default price source.
The Multi Deviation Scaled Moving Average indicator offers traders a sophisticated tool for trend analysis and signal generation. By combining multiple DSMAs and providing clear visual cues, it enables traders to make more informed decisions about market direction and potential entry or exit points. The indicator's customizable parameters allow for fine-tuning to suit various trading styles and market conditions.
Project Monday Strategy [AlgoAI System]Overview
Project Monday is a sophisticated trading strategy designed for active market participants. This strategy can be used alongside other forms of technical analysis, providing traders with additional tools to enhance their market insights. While it offers a flexible approach for identifying and exploiting market inefficiencies, Project Monday does not fit every market condition and requires adjustments. Its core principles include technical analysis and risk management, all aimed at making informed trading decisions and managing risk effectively.
Features
Project Monday Strategy works in any market and includes many features:
Efficient Trading Presets: Offers ready-to-use presets that allow traders to start efficient trading with one click.
Confirmation Signals: Provides signals to help traders validate trends, emphasizing informed decision-making (not to be followed blindly).
Reversal Signals: Identifies signals to alert traders to potential reversals, encouraging careful analysis (not to be followed blindly).
Adaptability: Can be adjusted to fit different market conditions, ensuring ongoing effectiveness.
Multi-Market Application: Suitable for use across various asset classes including stocks, forex, commodities, and cryptocurrencies.
Integration: Can be used alongside other technical analysis tools for enhanced decision-making.
Position Sizing: Allows traders to determine optimal trade size using backtesting and trading performance dashboard.
Backtesting: Supports historical testing to refine and validate the strategy.
Continuous Monitoring: Includes features for ongoing performance evaluation and strategy adjustments.
Unique Project Monday Strategy Features on TradingView:
Adaptive Position Sizing: Dynamically adjusts the size of each position based on market conditions and predefined risk management criteria, ensuring optimal trade sizing and risk exposure.
Preliminary Position Opening: Allows traders to enter a position in anticipation of a signal confirmation, enabling them to capture early market movements and improve entry points.
Preliminary Position Closing: Enables traders to exit a position before a signal reversal, helping to lock in profits and minimize potential losses during volatile market conditions.
Adjusting Strategy Parameters:
Price Band Inputs:
Project Monday Strategy uses a set of configurable inputs to tailor its behavior according to the trader's preferences. The following are the key inputs for the price band calculations. Signals are not generated when the price remains within these bands.
“Length of Calculation” determines how many historical data points are used in the trend calculation. A shorter “Length of Calculation” will make the Price Band more responsive to recent price changes but may also increase the noise and the likelihood of false signals. A longer “Length of Calculation” will make the Price Band smoother, with less noise, but may cause more lag in reacting to price changes.
“Offset” determines the position of the Gaussian filter, which is used to weight the data points in the trend calculation. The offset is expressed as a fraction of the “Length of Calculation”, with a value between 0 and 1. A higher “Offset” will shift the Gaussian filter closer to the more recent data points, making the Price Band more responsive to recent price changes but potentially increasing noise. A lower “Offset” will shift the Gaussian filter closer to the centre of the window, resulting in a smoother Price Band but potentially introducing more lag.
“Sigma” refers to the standard deviation used in the Gaussian distribution function. This parameter determines the smoothness of the curve and the degree to which data points close to the centre of the “Length of Calculation” are weighted more heavily than those further away. A smaller “Sigma” will result in a narrower Gaussian filter, leading to a more responsive Price Band but with a higher chance of noise and false signals. A larger “Sigma” will result in a wider Gaussian filter, creating a smoother Price Band but with more lag.
Adjust the “Source” inputs to specify which type of price data should be used for strategy calculations and signal generation.
“Width of Band” input determines the multiplier for the band width. A higher value of “Width of Band” makes the price band wider, which generates fewer signals due to the lower probability of the price moving outside the band. Conversely, a lower multiplier makes the band narrower, generating more signals but also increasing the likelihood of false signals.
Direction input:
The Project Monday strategy includes an input to specify the direction of trades, allowing traders to control whether the strategy should consider long positions, short positions, or both. The following input parameter is used for this purpose:
This input parameter allows traders to define the type of positions the strategy will take. It has three options:
Only Long: The strategy will generate signals exclusively for buying or closing short positions, focusing on potential uptrends.
Only Short: The strategy will generate signals exclusively for selling or closing long positions, focusing on potential downtrends.
Both: The strategy will generate signals for both buying (long positions) and selling (short positions), allowing for a more comprehensive trading approach that captures opportunities in both rising and falling markets.
Signals Filter:
The Project Monday strategy includes inputs to filter signals based on higher timeframes and the length of the data used for filtering. These inputs help traders refine the strategy's performance by considering broader market trends and smoothing out short-term fluctuations.
Filter Timeframe input specifies the timeframe used for filtering signals. By choosing a higher timeframe, traders can filter out noise from shorter timeframes and focus on more significant trends. The options range from intraday minutes (e.g., 1, 5, 15 minutes) to daily (1D, 2D, etc.), weekly (1W, 2W, etc.), and monthly (1M) timeframes. This allows traders to align their strategy with their preferred trading horizon and market perspective.
Filter Length input defines the number of data points used for filtering signals on the selected timeframe. A longer filter length will smooth out the data more, helping to identify sustained trends and reduce the impact of short-term fluctuations. Conversely, a shorter filter length will make the filter more responsive to recent price changes, potentially generating more signals but also increasing sensitivity to market noise.
Adaptive Position Size:
The Project Monday strategy incorporates inputs for unique feature Adaptive Position Sizing (APS), which dynamically adjusts the size of trades based on market conditions and specified parameters. This feature helps optimize risk management and trading performance.
Enable Adaptive Position Size: Users can check or uncheck this box to enable or disable the Adaptive Position Size feature. When checked, the strategy dynamically adjusts position sizes based on the defined parameters. This allows traders to scale their positions according to market volatility and other factors, enhancing risk management and potentially improving returns. When unchecked, the strategy will not adjust position sizes adaptively, and positions will remain fixed as per other settings.
“Timeframe for Adaptive Position Size “input specifies the timeframe used for calculating the position size. Options range from intraday minutes (e.g., 30, 60 minutes) to daily (1D, 3D), weekly (1W), and monthly (1M) timeframes. Selecting an appropriate timeframe helps align position sizing calculations with the trader’s overall strategy and market perspective, ensuring that position sizes are adjusted based on relevant market data.
“APS Length” input defines the number of data points used to calculate the adaptive position size. A longer APS length will result in higher position sizes. Conversely, a shorter APS length will result in smaller position sizes.
Anticipatory Trading:
Project Monday Strategy includes inputs for unique feature Anticipatory Trading, allowing traders to open and close positions preliminarily based on certain conditions. This feature aims to provide an edge by taking action before traditional signals confirm.
Enable Preliminary Position Opening: Users can check or uncheck this box to enable or disable Preliminary Position Opening. When enabled, the strategy will open positions based on preliminary conditions before the standard signals are confirmed. This can help traders capitalize on early trend movements and potentially gain a better entry point.
Enable Preliminary Position Closing: Users can check or uncheck this box to enable or disable Preliminary Position Closing. When enabled, the strategy will close positions based on preliminary conditions before the standard exit signals are confirmed. This can help traders lock in profits or limit losses by exiting positions at the early signs of trend reversals.
“Position Size in %” input specifies the position size as a percentage of the trading capital. By setting this value, traders can control the amount of capital allocated to each trade. For example, a risk value of 40% means that 40% of the available trading capital will be used for each anticipatory trade. This helps in managing risk and ensuring that the position size aligns with the trader's risk tolerance and overall strategy.
Usage:
Signal Generation
Long signal indicates a potential uptrend, suggesting either buying or closing a short position. Short signal indicates a potential downtrend, suggesting either selling or closing a long position. Signals are generated on your chart when the price moves beyond a calculated price band based on the current trend.
Signal Filtering
The strategy includes a filtering mechanism based on the current or another timeframe. Filtering works best with higher timeframes. This component calculates the trend on a higher timeframe and predicts the trend, ensuring trades on the current timeframe are only opened if they align with the higher timeframe trend. Setting the right filter timeframe is crucial for obtaining the best signals.
Position Direction
Users can choose the direction of positions to open via the settings box. Options include only long positions, only short positions, or both.
Adaptive Position Size (APS)
Users can enable the Adaptive Position Size feature to adjust position sizes based on trend strength. The strategy evaluates the strength of the current trend based on a higher timeframe. The stronger the trend, the larger the position size for opening a position.
Anticipatory Trading
Users can activate this unique feature to enhance trading decisions. The strategy assesses the likelihood of receiving a main signal. If the opportunity appears strong, it opens a partial position, as specified in the settings box. As the probability of the signal strengthens, the strategy gradually increases the position size.
Exit Strategy
The strategy exits positions based on receiving a reverse signal. Positions opened through “Anticipatory trading” are exited incrementally as each preliminary signal reverses.
By following these steps, traders can implement the strategy to navigate various market scenarios, manage risk, and adjust trading performance over time. Adjusting parameters and monitoring signals diligently are key to adapting the strategy to individual trading styles and market conditions.
You will get
By purchasing the Project Monday strategy, you not only gain access to a cutting-edge system but also receive ready-to-use presets designed to help you start trading immediately and achieve optimal results. Additionally, you benefit from comprehensive support and the option to request custom presets for your desired financial instruments through our dedicated support team, ensuring you have the tools and assistance needed for successful trading.
Risk Disclaimer
This information is not a personalized investment recommendation, and the financial instruments or transactions mentioned in it may not be appropriate for your financial situation, investment objective(s), risk tolerance, and/or expected return. AlgoAI shall not be liable for any losses incurred in the event of transactions or investments in financial instruments mentioned in this information.
NOVO ALGO - Starry SkyGeneral Description:
This indicator provides the possible buy and sell entry with the estimated risk and its corresponding Stop Loss (SL) value.
It has originally developed for 1-min chart and works the best on this time-frame. It may work on the other time-frames, but its profitability has not been checked. So, I would rather recommend to use and apply it only on 1-min chart.
Novelty of the indicator:
Trading in 1-min chart consists of dealing with so many small swings and price variations which are very local and does not affect the general trend even in the 5-min time frame.
We call these small price variations and swings 'Noise'.
The novelty of the indicator is in a parameter which we call the Noise Level and filtering length.
It has been widely used in the Fluid Dynamics and in the Large Eddy Simulations where small noises of flow is removed by a dynamic filter.
In this indicator, we have tried to incorporate the same idea but in the price trend detection.
For the current version, we have used a less tolerance for noise level which results in much less signals compared to the full capacity of the indicator. It roughly sends out around 10-15% of the total confirmed positions.
How it detects the entry positions
To define the entry point, 5 main properties are considered and checked at 3 main time frames including 1-min, 5-min, and 15-min.
These time-frames are selected based on the fact that the target chart is in 1-min.
The 5 properties evaluated are:
1- Smooth Moving Average
2- Bollinger Band
3- Price Regression
4- Candle Pattern
5- Volume
Detailed Description:
Detect a possible entry by Smooth Moving Average:
- At each time frame, 3 lengths are considered to calculate the price moving average values; i.e. short, medium and long lengths.
- The interaction of these MAs, of course, defines the local trend of the price generally. It also provides an idea about the strength of the trend.
- The information calculated at 1-min time frame triggers the possible buy/sell. However, it waits until getting confirmation from the upper time frame (5-min).
- We use the MAs of 15-min time frame to define the general dominant price trend and stop reverse signals when the trend is fully dominant in one direction.
When a possible entry position is triggered by the MAs, at that very price bar we calculate the noise level.
If the noise level is higher than a certain predefined value, then the signal is rejected. Otherwise the signal gets out.
The threshold we use to define if a signal is noisy or not is normalized so it can be used without any concern at different markets.
We believe the calculations and ideas behind the Noise Level is what makes this indicator unique and practical.
We define the noise level parameter based on the following properties:
1- Smooth Moving Average at upper time frame (basically 15-min):
If a possible signal is against the trend of the upper time-frame, the noise level is increased.
If it is in the direction of the upper time-frame trend, then the noise level is untouched.
As already mentioned, different lengths are used. So, as the length of MA is larger its impact on the noise level is considered higher.
2- Bollinger Band of upper time frames (5-min and 15-min)
We employ bollinger bands to define 4 regions.
1. Above the upper band
2. Between middle and upper band
3. Between Lower and middle bands
4. Below the lower band
Then use these 4 regions along with the candle position and price regression.
For example, if the price regression line and candle position are on the same region of BB, then we assume less possibility for reverse or strong trend.
Consequently, we increase the noise level parameter. On the other hand, if they belong to two different region, we assume more possibility for big price change, and so we lower the noise level.
3- Price Regression
We use average price regression line to filter out very small swings in the price. We have also set a criterion of continuity for the regression line that ensures small price variation and swings are left out and filtered.
This will come with the sot of delay in the confirmation of signal, but we found it very important to remove very small swings of price that, for example, consists of only few bars in 1-min chart.
We have also used the position of the regression line along with the regions defied by BBs to evaluate the strength of a newly detected trend.
As candles will always reach to the regression at some point, if a possible entry is detected and the regression line and candles belong to two different region, we assume a strong price change. But if they belong to the same region, we increase the noise level and will assume that it might be a small swing.
4- Candle Pattern
We assumed several rules for candles shape and prices to define if a price movement is strong or it is just a small swing. For example we expect the price to be increase in the last 2-3 candles if we should call a entry for long position.
These set of self-made rules have been extracted by using the visual inspections of the price movement. This has been done much more advanced for long entry position which has resulted in more long signals by the indicator.
5- Volume
We use volume of trades in 1-min, 5-min, and 15-min to evaluate the strength of the trend. We use both absolute and what we call directional volume! The directional volume is the volume with the sign of the candle. This helps us to know if the reverse trend supported by enough volume or it is just a small swing.
For example, if the directional volume of 1-min can surpass the 5-min directional volume, this indicates to us that the importance of 5-min data and its validity is less. So, more focus will be put on the 1-min volume data and the direction it indicates.
Money Management:
Profit calculation: the profit is calculated based on the user defined leverage (default 100x). The user has the option to change the buy/sell leverages to the desired values.
Risk assessment: The user has the option to adjust the risk of the trades. Then the SL value will be calculated for each trade according to the defined risk value.
If a value of zero is set for the risk, then the indicator will define the local SL of each trade based on the pivot point.
As in 1-min trading, the prices are noise and include several small swings and consequently several minor pivot points, we filtered the pivot points that belong to the super small swings detected by our noise level indicator.
Suggestion
I found it more profitable to make the trades risk-free when their profits passes 10% (with leverage 100x). Then, readjust the TP of trades if the trend is in the direction of the position.
I would recommend to observe the performance of the indicator for a day or two, before actually trading with its signals. This will help to have a better understanding of the leverage and risk you may apply.
Advanced Fully Reversed Candles with Reversed IchimokuThe "Advanced Fully Reversed Candles with Reversed Ichimoku" indicator is a sophisticated tool designed for traders who seek a unique perspective on market dynamics. This innovative indicator not only reverses the traditional candlestick chart but also inverts the Ichimoku Cloud components, providing a comprehensive view of the market's inverted behavior.
Key Features:
Reversed Candlestick Chart:
The indicator recalculates the OHLC (Open, High, Low, Close) prices by reversing them along the price axis. This means that what typically would be an upward movement is displayed as a downward movement, and vice versa. This reversal provides an alternative view that can help traders identify hidden patterns and potential reversal points that might not be obvious on a standard chart.
Reversed Ichimoku Cloud:
All components of the Ichimoku Cloud indicator are recalculated based on the reversed price data. This includes:
Tenkan-sen (Conversion Line): Reversed based on the highest and lowest prices over the specified period.
Kijun-sen (Base Line): Reversed in a similar manner to the Tenkan-sen, providing a medium-term perspective on price trends.
Senkou Span A (Leading Span A): Reversed to form one boundary of the Kumo (cloud), offering insight into future support and resistance levels.
Senkou Span B (Leading Span B): Reversed to form the other boundary of the Kumo, complementing Senkou Span A.
Chikou Span (Lagging Span): Reversed and plotted backward for additional confirmation of trend direction and strength.
Dynamic Price Range Calculation:
The indicator dynamically calculates the maximum and minimum prices over the last 500 bars (or the available range if fewer bars are present). This ensures that the reversal is always based on the most relevant data, providing accurate and up-to-date visualizations.
Visual Enhancements:
The reversed candlesticks are color-coded for easy interpretation: green for upward movements and red for downward movements, based on the reversed data.
The Ichimoku Cloud is filled with semi-transparent colors to clearly distinguish between bullish and bearish conditions even in its reversed state.
Debugging Aids:
For transparency and accuracy, the indicator plots the maximum and minimum price lines used for the reversal calculations. This allows users to verify the internal workings of the indicator and ensure the reversal logic is correctly applied.
Usage:
This indicator is ideal for advanced traders and analysts who want to explore market behavior from an unconventional angle. By reversing both the candlestick chart and the Ichimoku Cloud, it provides a unique perspective that can uncover new trading opportunities and enhance market analysis.
Customization:
Users can customize the periods for the Tenkan-sen, Kijun-sen, and Senkou Span B, as well as the displacement for the Ichimoku Cloud. This flexibility allows traders to adapt the indicator to their specific trading strategies and timeframes.
Conclusion:
The "Advanced Fully Reversed Candles with Reversed Ichimoku" indicator is a powerful tool that transforms traditional market analysis. By inverting both price movements and key technical indicators, it opens up a new dimension of trading insights, helping traders to see the market in a completely different light.
Parameters:
Tenkan-sen period (default: 9)
Kijun-sen period (default: 26)
Senkou Span B period (default: 52)
Displacement (default: 26)
How to Apply:
Add the script to your TradingView account via the Pine Editor.
Customize the parameters according to your trading strategy.
Analyze the reversed candlestick chart and Ichimoku Cloud to gain unique insights into market trends and potential reversal points.
Advanced ADX [CryptoSea]The Advanced ADX Analysis is a sophisticated tool designed to enhance market analysis through detailed ADX calculations. This tool is built for traders who seek to identify market trends, strength, and potential reversals with higher accuracy. By leveraging the Average Directional Index (ADX), Directional Indicator Plus (DI+), and Directional Indicator Minus (DI-), this indicator offers a comprehensive view of market dynamics.
New Overlay Feature: This script uses the new 'force overlay' feature which lets you plot on the chart as well as plotting in an oscillator pane at the same time.
force_overlay=true
Key Features
Comprehensive ADX Tracking: Tracks ADX values along with DI+ and DI- to provide a complete view of market trend strength and direction. The ADX measures the strength of the trend, while DI+ and DI- indicate the trend direction. This combined analysis helps traders identify strong and weak trends with precision.
Trend Duration Monitoring: Monitors the duration of strong and weak trends, offering insights into trend persistence and potential reversals. By keeping track of how long the ADX has been above or below a certain threshold, traders can gauge the sustainability of the current trend.
Customizable Alerts: Features multiple alert options for strong trends, weak trends, and DI crossovers, ensuring traders are notified of significant market events. These alerts can be tailored to notify traders when certain conditions are met, such as when the ADX crosses a threshold or when DI+ crosses DI-.
Adaptive Display Options: Includes customizable background color settings and extended statistics display for in-depth market analysis. Users can choose to highlight strong or weak trends on the chart background, making it easier to visualize market conditions at a glance.
In the example below, we have a bullish scenario play out where the DI+ has been above the DI- for 11 candles and our dashboard shows the average is 10.48 candles. With the ADX above its threshold this would be a bullish signal.
This ended up in a 20%+ move to the upside. The dashboard will help point out things to consider when looking to exit the position, the DI+ getting close to the max DI+ duration would be a sign that momentum is weakening and that price may cool off or even reverse.
How it Works
ADX Calculation: Computes the ADX, DI+, and DI- values using a user-defined period. The ADX is derived from the smoothed average of the absolute difference between DI+ and DI-. This calculation helps determine the strength of a trend without considering its direction.
Trend Duration Analysis: Tracks and calculates the duration of strong and weak trends, as well as DI+ and DI- durations. This analysis provides a detailed view of how long a trend has been in place, helping traders assess the reliability of the trend.
Alert System: Provides a robust alert system that triggers notifications for strong trends, weak trends, and DI crossovers. The alerts are based on specific conditions such as the duration of the trend or the crossover of directional indicators, ensuring traders are informed about critical market movements.
Visual Enhancements: Utilizes color gradients and background settings to visually represent trend strength and duration. This feature enhances the visual analysis of trends, making it easier for traders to identify significant market changes at a glance.
In the example below, we see the ADX weakening after we have just had a move up, if you are looking to get into this position you want to see the ADX growing with either the DI+ or DI- breaking their average durations.
As you can see below, although the ADX manages to move above the threshold, there are no DI+/- breaks which is shown by price moving sideways. Not something most traders would be interested in.
Application
Strategic Decision-Making: Assists traders in making informed decisions by providing detailed analysis of ADX movements and trend durations. By understanding the strength and direction of trends, traders can better time their entries and exits.
Trend Confirmation: Reinforces trading strategies by confirming potential reversals and trend strength through ADX and DI analysis. This confirmation helps traders validate their trading signals, reducing the risk of false signals.
Customized Analysis: Adapts to various trading styles with extensive input settings that control the display and sensitivity of trend data. Traders can customize the indicator to suit their specific needs, making it a versatile tool for different trading strategies.
The Advanced ADX Analysis by is an invaluable addition to a trader's toolkit, offering depth and precision in market trend analysis to navigate complex market conditions effectively. With its comprehensive tracking, alert system, and customizable display options, this indicator provides traders with the tools they need to stay ahead of the market.
Half Cup [LuxAlgo]The Half Cup indicator detects and displays patterns with the shape of a Half Cup , initiating a channel. From this channel, breakouts are detected and highlighted with dots.
Users can control the shape of the Half Cup and the channel length through various settings.
Do note that the displayed half cups are displayed retrospectively, making them subject to backpainting.
🔶 USAGE
The idea behind the indicator is derived from the Cup & Handle pattern, which requires waiting for the pattern full completion.
Our Half Cup publication aims to find opportunities when the potential cup is only formed halfway.
In this example, a green dot shows the first breakout of the upper channel extremity. A few bars later, the price went under it, after which it returned above, triggering a second green dot. Both triggers were good opportunities in this case, and the price rose afterward.
The Half Cup pattern can be the start of a potential complete Cup & Handle (As in the example above, a complete Cup pattern (without the Handle ) is shown, manually drawn with dashed lines).
Every green/red dot, whether on a bullish or bearish pattern, points to a breakout respectively above/below the channel.
Besides drawing patterns and the corresponding breakouts, the Half Cup indicator can also provide insights into trends and potential opportunities in the long run.
🔶 DETAILS
🔹 Validation
Several criteria must be fulfilled before a visible pattern on the chart is drawn.
Calculations are done beforehand to know where the Half Cup pattern would be positioned.
The pattern's bottom and top edges are checked for the number of bars whose closing price is outside the half-cup area. When the number of breakouts above/below is equal to or lower than the user-defined settings ( Max % Breaks Top/Bottom ), the pattern is drawn together with a brighter-colored channel next to it.
Dots highlighting the channel's breakout can be drawn from that moment until the end of both channel lines.
🔹 Positioning
Users can adjust the following settings to fit their needs:
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
Note that adjusting the position of the pattern will change the validation; the script will be rerun to check if patterns are still valid or if new patterns can be drawn. Some patterns may disappear, while new ones may appear.
Before adjusting the position, the user can set Max % Breaks Top/Bottom at 100%. When the positioning is set, Max % Breaks Top/Bottom can be set as desired.
🔹 Updated Drawings
The Half Cup pattern is always drawn retrospectively (that is it is subject to backpainting), the channel is drawn from the bar from where the pattern is detected. Every breakout of the channel will remain visible as dots.
When a new swing high/low is found while the previous swing low/high remains the same, the pattern is updated to minimize clutter. The dots of earlier drawings will remain visible (to ensure no repainting occurs), but the color becomes faded, as such bright dots are associated with patterns that are visible on the chart, while faded dots are from removed/updated patterns.
🔶 SETTINGS
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Validation
Max % Breaks Bottom: Allowed maximum amount of bars where the closing price is below the bottom of the Half Cup pattern against the total width of the pattern (bars).
Max % Breaks Top: Allowed maximum amount of bars where the closing price is above the top of the Half Cup pattern against the total width of the pattern (bars).
🔹 Positioning
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
FVG Instantaneous Mitigation Signals [LuxAlgo]The FVG Instantaneous Mitigation Signals indicator detects and highlights "instantaneously" mitigated fair value gaps (FVG), that is FVGs that get mitigated one bar after their creation, returning signals upon mitigation.
Take profit/stop loss areas, as well as a trailing stop loss are also included to complement the signals.
🔶 USAGE
Instantaneous Fair Value Gap mitigation is a new concept introduced in this script and refers to the event of price mitigating a fair value gap one bar after its creation.
The resulting signal sentiment is opposite to the bias of the mitigated fair value gap. As such an instantaneously mitigated bearish FGV results in a bullish signal, while an instantaneously mitigated bullish FGV results in a bearish signal.
Fair value gap areas subject to instantaneous mitigation are highlighted alongside their average level, this level is extended until reached in a direction opposite to the FVG bias and can be used as a potential support/resistance level.
Users can filter out less volatile fair value gaps using the "FVG Width Filter" setting, with higher values highlighting more volatile fair value gaps subject to instantaneous mitigation.
🔹 TP/SL Areas
Users can enable take-profit/stop-loss areas. These are displayed upon a new signal formation, with an area starting from the mitigated FVG area average to this average plus/minus N ATRs, where N is determined by their respective multiplier settings.
Using a higher multiplier will return more distant areas from the price, requiring longer-term variations to be reached.
🔹 Trailing Stop Loss
A trailing-stop loss is included, increasing when the price makes a new higher high or lower low since the trailing has been set. Using a higher trailing stop multiplier will allow its initial position to be further away from the price, reducing its chances of being hit.
The trailing stop can be reset on "Every Signal", whether they are bullish or bearish, or only on an "Inverse Signal", which will reset the trailing when a signal of opposite bias is detected, this will preserve an existing trailing stop when a new signal of the same bias to the present one is detected.
🔶 DETAILS
Fair Value Gaps are ubiquitous to price action traders. These patterns arise when there exists a disparity between supply and demand. The action of price coming back and filling these imbalance areas is referred to as "mitigation" or "rebalancing".
"Instantaneous mitigation" refers to the event of price quickly mitigating a prior fair value gap, which in the case of this script is one bar after their creation. These events are indicative of a market more attentive to imbalances, and more willing to correct disparities in supply and demand.
If the market is particularly sensitive to imbalances correction then these can be excessively corrected, leading to further imbalances, highlighting a potential feedback process.
🔶 SETTINGS
FVG Width Filter: Filter out FVGs with thinner areas from returning a potential signal.
🔹 TP/SL
TP Area: Enable take-profit areas for new signals.
Multiplier: Control the distance from the take profit and the price, with higher values returning more distant TP's.
SL Area: Enable stop-loss areas for new signals.
Multiplier: Control the distance from the stop loss and the price, with higher values returning more distant SL's.
🔹 Trailing Stop
Reset Trailing Stop: Determines when the trailing stop is reset.
Multiplier: Controls the initial position of the trailing stop, with higher values returning more distant trailing stops.
Signals & Overlays [UAlgo]The Signals & Overlays indicator is a comprehensive trading tool designed to provide traders with a holistic view of market conditions. It combines multiple analysis techniques to offer insights into trend direction, potential reversal points, and optimal entry and exit levels. This versatile indicator is suitable for various trading styles and timeframes, also has Beginner-Friendly presets to enable multiple features at once within one-click.
🔶 Key Features:
🔹 Contrarian Signals:
This feature identifies potential trend reversals and market turning points. These contrarian signals are displayed as arrow markers on the chart, alerting traders to possible opportunities that go against the prevailing trend. The signals are based on a combination of price action, momentum, and volatility factors, providing a multi-faceted approach to market analysis.
Customizable Settings :
Signal Sensitivity: Adjustable from 0.1 to 10.0. This controls how sensitive the indicator is to potential reversal signals.
🔹 Reversal Zones:
This feature utilizes statistical methods that compute a smoothed average and associated bands around a data series using Gaussian weights. The Gaussian distribution helps to assign more weight to data points near the center of the window, and the bands represent the average plus/minus a scaled measure of deviation.
This technique is often used in financial analysis to detect trends and measure volatility to identify key areas where price reversals are more likely to occur. These zones providing a dynamic representation of potential support and resistance areas. Traders can use these zones to anticipate potential price reactions and plan their entries and exits accordingly.
Users can also customize the responsiveness of the Reversal Zones through the "Zone Speed" setting. This allows for fine-tuning the model's sensitivity to price changes:
Swift Mode: Quickly adapts to recent price movements, ideal for short-term trading.
Standard Mode: Balances recent and historical data for a medium-term perspective.
Slow Mode: Emphasizes longer-term trends, suitable for position trading.
Customizable Settings :
Zone Data Source: Users can select which price data (open, high, low, close, etc.) to use for zone calculations.
Zone Speed: Choosable between "Swift", "Standard", and "Slow", affecting how quickly the zones adapt to price changes.
🔹 Smart Trail:
The Smart Trail feature provides an adaptive trend-following mechanism. It plots a dynamic line that adjusts based on price action and volatility, helping traders stay in trending moves while providing a trailing stop-loss reference. This feature is particularly useful for managing open positions and optimizing exit points.
🔹 Trend Cloud:
Generates a specialized trend indicator using double-smoothed EMAs applied to closing prices and the high-low price range. It visualizes market trends and volatility by shading the area between different indicator values over time. The color of the shading changes to reflect whether the current trend is strengthening or weakening.
The Trend Cloud feature provides a visually intuitive representation of the overall market trend. It generates a dynamic colored cloud on the chart that helps traders quickly assess the current market direction and strength. Bullish trends represented by blue clouds and bearish trends by red clouds.
🔹 Trend Analyzer:
The Trend Analyzer component provides an in-depth analysis of the current market trend. It uses a customizable moving average system to determine the trend direction and strength. The analyzer can be configured to focus on short-term, medium-term, or long-term trends, allowing traders to align their strategy with their preferred trading timeframe.
Customizable Settings :
Analyzer Calculation Period: Adjustable period for trend analysis calculations.
Analyzer Mode: Selectable between "Short-Term", "Medium-Term", and "Long-Term".
Analyzer Calculation Source: Customizable price data source for trend analysis.
Use Heikin Ashi: Option to use Heikin Ashi candles instead of regular candles for calculations.
🔹 TP/Exit/Entry Levels:
The indicator calculates and displays potential take profit (TP), exit, and entry levels based on market structure and volatility. These levels are marked on the chart, offering traders guidance on optimal points for trade management. This feature can be particularly helpful for setting profit targets and managing risk.
🔹 Dashboard:
The customizable dashboard provides a quick overview of key market metrics. It displays information such as trend strength, volume analysis, market volatility, the current state of the Trend Catcher and the market is "Bearish" or "Bullish". This at-a-glance summary helps traders make informed decisions without the need to switch between multiple indicators.
Customizable Settings :
Toggle: Option to display or hide the dashboard.
Dashboard Position and Size: Selectable between "Top Right", "Bottom Right", and "Bottom Left". Adjustable size to "Tiny", "Small" or "Normal".
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Simple Risk-to-Reward Multiplier A simple R/R indicator that allows you to input your entry price and stop loss (in ticks). Then, your take profit levels are R-multipliers based on your stop loss. You can have up to 5 take profit levels on your chart. There is also a function to indicate if it is a long or short setup. You can also set alerts with this script, allowing you the ability not to have to stare at the charts all day.
Inversion Fair Value Gaps [TradingFinder] IFVG ICT Signal| Alert🔵 Introduction
🟣 Inversion Fair Value Gap (IFVG)
An ICT Inversion Fair Value Gap, or reverse FVG, occurs when a fair value gap fails to hold its price, resulting in the price moving beyond and breaking the gap. This situation marks the initial change in price momentum.
Generally, prices respect fair value gaps and continue in their trend direction. However, when a fair value gap is breached, it transforms into an inversion fair value gap, signaling a potential short-term reversal or a subsequent change in direction.
🔵 How to Use
🟣 Identifying an Inversion Fair Value Gap
To spot an IFVG, you must first identify a fair value gap.
Inversion fair value gaps can be categorized into two types :
🟣 Bullish Inversion Fair Value Gap
A bullish IFVG occurs when a bearish fair value gap is invalidated by the price closing above it.
Steps to identify it :
Identify a bearish fair value gap.
When the price closes above this gap, it becomes a bullish inversion fair value gap.
This gap acts as a support level, pushing the price upwards and indicating a shift in momentum from sellers to buyers.
🟣 Bearish Inversion Fair Value Gap
A bearish IFVG happens when a bullish fair value gap fails, with the price closing below it.
Steps to identify it :
Identify a bullish fair value gap.
When the price closes below this gap, it becomes a bearish inversion fair value gap.
This gap acts as a resistance level, pushing the price downwards and indicating a shift in momentum from buyers to sellers.
🔵 Settings
🟣 Global Settings
Show All Inversion FVG: If disabled, only the most recent FVG will be displayed.
IFVG Validity Period (Bar): Determines the maximum duration (in number of candles) that the FVG and IFVG remain valid.Switching Colors Theme Mode: Includes three modes: "Off", "Light", and "Dark". "Light" mode adjusts colors for light mode use, "Dark" mode adjusts colors for dark mode use, and "Off" disables color adjustments.
🟣 Logic Settings
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter : Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filte r: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter : Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter : Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
Mitigation Level FVG and IFVG : Options include "Proximal", "Distal", or "50 % OB" modes, which you can choose based on your needs. The "50 % OB" line is the midpoint between distal and proximal.
🟣 Display Settings
Show Bullish IFVG : Toggles the display of demand-related boxes.
Show Bearish IFVG : Toggles the display of supply-related boxes.
🟣 Alert Settings
Alert Inversion FVG Mitigation : Enables alerts for Inversion FVG mitigation.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
Display More Info : Provides additional details in alert messages, including price range, date, hour, and minute. Set to 'Off' to exclude this information.
