Trending RSI [ChartPrime]Trending RSI takes a new approach to RSI intended to provide all of the missing information that traditional RSI lacks. Questions such as "why does the price continue to decline even during an oversold period?" can be aided using the Trending RSI.
These types of movements are due to the market still trending and traditional RSI can not tell traders this. Trending RSI fixes this by introducing trend information back into the oscillator. By reverse engineering RSI we have been able to make a new indicator that is no longer bound between 0 and 100. Instead it provides the traditional 70 and 30 zones as bands, and 50 as a center line that still represent these zones perfectly. This transforms RSI into a centered oscillator instead of a normalized oscillator. When the market is trending our indicator represents this as the center line being below or above 0. Just like MACD the center line is colored to represent the market phases. This helps in identifying reversals more clearly by adding a layer of confluence to the already renowned RSI. We have also included a novel filtering technique that has a low lag to smoothing ratio. This is primarily used to smooth the bands by default but you can also utilize this on the RSI. Several alerts have been included to provide users with easy to configure signals.
You can use the center line as a directional filter for your trades by only picking trades in the direction of the center line. When the center line is above 0, the market is trending up. Conversely, when the center line is below 0 the market is trending down trend. Use the polarity of the center line to estimate the strength of retracements from the oversold and overbought zones. We have also included a special moving average to help you find the momentum of a move. The Binomial MA filter approximates a normal curve making it similar to a gaussian filter. We have also included standard divergences which are fully configurable in the settings. Finally, we have built this indicator to be compatible with the built in multi time frame option to allow users to freely pick the time frame they wish to use. It is worth noting that due to the limitations of the standard MTF implementation divergences will not plot as expected when using time frames outside of the charts time frame. This is standard and also affects the built in RSI.
All of the colors are fully adjustable with the option to enable or disable the glow effect. We have also designed this indicator to only display the information for plots that are enabled to reduce clutter and provide a cleaner charting experience. All alerts are built to work with the standard alert builder and do not have to be enabled or disabled inside of the indicator.
Included Alerts:
RSI Cross Over Center
RSI Cross Under Center
RSI Cross Under Upper Range
RSI Cross Over Upper Range
RSI Cross Over Lower Range
RSI Cross Under Lower Range
RSI Cross Over MA
RSI Cross Under MA
RSI Cross Over 0
RSI Cross Under 0
Center Cross Over 0
Center Cross Under 0
Center Bullish
Center Bearish
Bullish Divergence
Bearish Divergence
In wrapping up, the Trending RSI aims to enhance the conventional RSI by adding trend insights directly into the oscillator, addressing the gap that traditional RSI leaves regarding market trends. This version of RSI breaks away from the 0 to 100 range, offering bands and a center line that better represent market conditions. It includes a set of features like the Binomial MA for momentum analysis, configurable settings for divergence detection, and compatibility with multi-time frame analysis. The color customization and glow effects aim to improve visual clarity, and the inclusion of alerts is designed to streamline alert configuration. Overall, this indicator is designed to provide a more view of the markets, suitable for traders looking to incorporate trend analysis into their RSI-based strategies.
Enjoy
Bands and Channels
Bandwidth Bands - Silverman's rule of thumbWhat are Bandwidth Bands?
This indicator uses Silverman Rule of Thumb Bandwidth to estimate the width of bands around the rolling moving average which takes in the log transformation of price to remove most of price skewness for the rest of the volatility calculations and then a exp() function is performed to convert it back to a right skewed distribution. These bandwidths bands could offer insights into price volatility and trading extremes.
Silverman rule of thumb bandwidth:
The Silverman Rule of Thumb Bandwidth is a heuristic method used to estimate the optimal bandwidth for kernel density estimation, a statistical technique for estimating the probability density function of a random variable. In the context of financial analysis, such as in this indicator, it helps determine the width of bands around a moving average, providing insights into the level of volatility in the market. This method is particularly useful because it offers a quick and straightforward way to estimate bandwidth without requiring extensive computational resources or complex mathematical calculation
The bandwidth estimator automatically adjust to the characteristics of the data, providing a flexible and dynamic measure of dispersion that can capture variations in volatility over time. Standard deviations alone may not be as adaptive to changes in data distributions. The Bandwidth considers the overall shape and structure of the data distribution rather than just focusing on the spread of data points.
Settings
Source
Sample length
1-4 SD options to disable or enable each band
Bollinger OTT SpreadBollinger OTT Spread (BOOTS) is a development combining Bollinger Bands with Optimized Trend Tracker (OTT) Indicator by Anıl Özekşi.
Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band.
BOOTS concentrates on the upper and lower Bollinger band lines.
First, it calculates the OTT using the UPPER and LOWER Bollinger Bands in a period of time (default lengths are 2) instead of closing prices.
After that, Upper and lower bands have more constant values.
There are 2 lines in BOOTS:
-The top (cyan) line is originally an OTT of the Upper Bollinger Band. (BOOTShigh)
-The bottom line (purple) is also an OTT line but conversely uses Lower Bollinger Band in the same period. (BOOTSlow)
Default values:
Bollinger Bands Moving AveragePeriod: 2 Bars
OTT Length: 2 Bars
OTT Optimizing coefficient (percent): %10
Bollinger Bands Standart Deviation Multiplier: 2 (not adjustable)
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
Originally, Bollinger Bands used a Simple Moving Average in their calculation, but this time, Anıl Özekşi prefers VIDYA (Variable Dynamic Moving Average = VAR) instead of a Simple Moving Average.
Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of BOOTS is to have substantial trading signals:
BUY when the price crosses above the BOOTSLower line (purple line)
STOP when the price crosses back below the BOOTSLower line (purple line)
SELL when the price crosses below the BOOTSUpper line (cyan line)
STOP when the price crosses back above the BOOTSUpper line (cyan line)
The price zone between the two lines is the flat zone; traders don't consider taking new positions in that area between the two lines.
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices. So, I added a moving average with the same default length of 2 , which was used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
Multiple OTTMultiple OTT (MOTT) is a development on the Optimized Trend Tracker (OTT) indicator of Anıl Özekşi that is shared in his algorithmic trading courses by himself.
There are 5 lines in MOTT:
-The top (cyan) line is originally an OTT line, which uses the Highest price values in a default length of 80 bars in its calculation.
-The bottom line (purple) is also an OTT line but conversely uses the Lowest prices in the same period.
-The dotted third line in the middle (green) is the exact average of the top and bottom lines.
-The dotted Cyan line: (Top+Middle)/2 and
dotted Purple line: (Bottom+Middle)/2 are also the averages of their two neighbors.
Default values:
Length of the Highest and Lowest Price period (High & Low Period): 80
OTT optimizing percent: 1.4
OTT Length: 2 (Also Moving Average Length when displayed)
Default Moving Average Type of OTT Calculation: VIDYA(VAR) VARIABLE INDEX DYNAMIC MOVING AVERAGE
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
BUY when the price crosses above the MOTT lines.
STOP when the price crosses back below the same MOTT line.
SELL when the price crosses below the MOTT lines.
STOP when the price crosses back above the same MOTT line.
As you can see, every line can be considered a trade signal like Fibonacci Levels. If optimized meaningfully, lines can also show users significant support and resistance levels. Traders can use those levels in partial buys and sells.
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices. So, I added the VIDYA moving average with the same default length ( 2 ) used in OTT calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
Progressive Trend TrackerProgressive Trend Tracker (PTT) is a development combining Bollinger Bands with Highest Highs and Lowest Lows by K.Hasan Alpay & Anıl Özekşi.
Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band.
PTT concentrates on the upper and lower Bollinger band lines.
First, it calculates the bands using the Highest & Lowest prices in a period of time (Faster period and period) instead of closing prices.
Then, PTT takes the lowest values of the calculated upper band and, conversely, the highest values of the calculated lower band in a Slower period.
Default values:
Faster Period: 5
Period: 5
Bollinger Band Moving Average Period: 2
Slower Period: 10
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
One more significant difference considering original Bollinger Bands is that PTT uses VIDYA (Variable Dynamic Moving Average = VAR) in the calculation instead of a Simple Moving Average.
Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of PTT is to have substantial trading signals:
BUY when the price crosses above the PTT Lower line (cyan line)
STOP when the price crosses back below the PTT Lower line (cyan line)
SELL when the price crosses below the PTT Upper line (cyan line)
STOP when the price crosses back above the PTT Upper line (cyan line)
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices, so I added the VIDYA moving average with the same default length ( 2 ), which is used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
Tangent Angle Trend Lines by Mustafa KAPUZThis custom indicator dynamically draws trend lines based on the tangent angle calculated from the current price level, offering a unique perspective on market momentum and potential reversal points. Designed for traders who appreciate the integration of geometry in technical analysis, this tool provides an innovative approach to identifying trend strength and direction.
Features:
Dynamic Angle Adjustment: The indicator automatically adjusts the angle of the trend lines according to the current price magnitude, ensuring relevance across various price levels and market conditions.
Period Customization: Users can set the period over which the highest and lowest prices are considered, allowing for flexibility in analysis over different time frames.
High and Low Price Labels: Clearly labeled highest and lowest prices within the selected period provide quick insights into critical levels.
Angle-Based Trend Lines: Utilizes the tangent of specified angles to project future price paths, helping to visualize potential trend continuations or reversals.
How It Works:
The indicator first calculates the highest and lowest prices over a user-defined period.
It then determines the angles for the trend lines based on the current price, ensuring the angles are dynamically adjusted to reflect recent market activity.
Trend lines are drawn from the highest and lowest points, projecting outwards at the calculated angles to indicate potential future price movements.
Usage:
Trend Confirmation: Use the angle trend lines to confirm the direction of the current trend. Steeper angles may indicate stronger trends.
Reversal Points: Monitor where price action intersects with the trend lines as potential reversal points or areas of support and resistance.
Strategic Entry/Exit Points: Identify strategic entry and exit points based on the proximity and angle of the trend lines relative to current price action.
This indicator is suited for traders looking for an edge in their technical analysis by incorporating geometric principles into the analysis of market trends. Whether you are day trading, swing trading, or analyzing long-term movements, the Tangent Angle Trend Lines indicator offers a fresh perspective on price dynamics.
Enjoy exploring the markets with this innovative tool and may it enhance your trading strategy!
Bollinger and Stochastic with Trailing Stop - D.M.P.This trading strategy combines Bollinger Bands and the Stochastic indicator to identify entry opportunities in oversold and overbought conditions in the market. The aim is to capitalize on price rebounds from the extremes defined by the Bollinger Bands, with the confirmation of the Stochastic to maximize the probability of success of the operations.
Indicators Used
- Bollinger Bands Used to measure volatility and define oversold and overbought levels. When the price touches or breaks through the lower band, it indicates a possible oversold condition. Similarly, when it touches or breaks through the upper band, it indicates a possible overbought condition.
- Stochastic: A momentum oscillator that compares the closing price of an asset with its price range over a certain period. Values below 20 indicate oversold, while values above 80 indicate overbought.
Strategy Logic
- Long Entry (Buy): A purchase operation is executed when the price closes below the lower Bollinger band (indicating oversold) and the Stochastic is also in the oversold zone.
- Short Entry (Sell): A sell operation is executed when the price closes above the upper Bollinger band (indicating overbought) and the Stochastic is in the overbought zone.
Quan Channel - Quan DaoI tried several channels, like the supertrend, ATR, Donchian or Bollingers, but they do not seem to fit my needs.
So I created a new channel to PREDICT the next impulse move of a price.
The current value of the top or bottom of the channel is based on 2 previous candles (not the candle itself), and it takes into account:
- The Direction of the previous candles (red or green) and
- The Width of their bodies
In my channel, the top or bottom lines will cover the price movement most of the time. But in some cases, when the price is on a big move, it will go out of the channel. And this is the time we need to consider a buy/sell (or take some profit) as well (not necessarily 100% of the time, though).
Personally, I like to use another oscillator in combination with this channel to predict whether it will reverse after the breakouts or continue to make another peak. If you are a DCA or long-term investor, I guess it would be safe to buy at the blue signals (out of bottom) and take some profits at the orange signals (out of top).
I also added an alert when the price breaks out of the channel for easier tracking.
Candle Range ExtensionThis script defines an indicator called "Candle Range Extension" that calculates the range of each candle (high minus low) and then multiplies that range by 3 to get the extension distance. It then plots two lines on the chart: one line that extends 3 times the candle range above the candle's high (in green) and another line that extends 3 times the candle range below the candle's low (in red).
Bitcoin's Logarithmic ChannelLogarithmic growth is a reasonable way to describe the long term growth of bitcoin's market value: for a network that is experiencing growing adoption and is powered by an asset with a finite and disinflationary supply, it’s natural to expect a more explosive growth of its market capitalization early on, followed by diminishing returns as the network and the asset mature.
I used publicly available data to model the market capitalization of bitcoin, deriving thereform a set of three curves forming a logarithmic growth channel for the market capitalization of bitcoin. Using the time series for the circulating supply, we derive a logarithmic growth channel for the bitcoin price.
Model uses publicly available data from July 17, 2010 to December 31, 2022. Everything since the beginning of 2023 is a prediction.
Past performance is not a guarantee of future results.
Highest-Lowest Trend𝙃𝙄𝙂𝙃𝙀𝙎𝙏-𝙇𝙊𝙒𝙀𝙎𝙏 𝙏𝙍𝙀𝙉𝘿 𝙄𝙉𝘿𝙄𝘾𝘼𝙏𝙊𝙍
Overview:
The "Highest-Lowest Trend" indicator helps traders identify trends based on the highest and lowest values within a specified period. It provides visual cues to understand potential trend changes, making it a valuable tool for technical analysis.
Settings:
Length and Offset: Adjust the length and offset parameters to customize the sensitivity of the indicator.
Source: Determines whether to use the high and low prices or the closing price and others for calculations.
Visual Settings:
Bar Color: Enables or disables the coloring of bars based on the trend direction.
Up Color: Specifies the color for upward trends.
Down Color: Specifies the color for downward trends.
Indicator Calculation:
The indicator calculates the highest and lowest values within the defined length and offset.
The current trend is determined based on whether the closing price is above or below these values.
When the source crossed above highest indicator changes trend to upside and start to use lowest value and vice versa.
/// 𝙄𝙉𝘿𝙄𝘾𝘼𝙏𝙊𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉 ///
var series float hlt = 0.0
series float upper = ta.highest(Use_High_and_Low ? high : src, length)
series float lower = ta.lowest( Use_High_and_Low ? high : src, length)
hlt := src > upper ?
lower : src < lower ?
upper : nz(hlt)
Usage:
Trend Identification: Watch for price to be above Trend Indicator crosses for up trend and below for down trend.
Length and Offset: Adjust the length and offset parameters to customize the sensitivity of the indicator.
Color, color bars: Change color of trends and bars for your taste
Note:
Trading involves inherent risks, and it is essential to exercise caution and employ multiple tools and indicators for comprehensive analysis. While the "Highest-Lowest Trend" indicator provides valuable insights into potential trend changes, relying solely on one tool for trading decisions is not recommended. Market conditions can be dynamic, and using a combination of indicators can enhance your overall analysis, providing a more robust foundation for decision-making. Always consider the broader market context, risk management strategies, and other relevant factors before executing trades.
Trend Channels (MTF) | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Trend Channels (MTF) indicator! Latest trends play an important role for traders and sometimes it can be hard to spot trends in other timeframes. This indicator can plot latest trend channels across different timeframes, so you can spot trends and their channels easier. More info about the process in the "How Does It Work" section.
Features of the new Trend Channels (MTF) indicator :
Plot Trend Channels Across Up To 3 Different Timeframes
Broad Customizability Of Trend Detection
Variety Of Trend Invalidation Options
High Visual Customizability
🚩UNIQUENESS
While the detection of trend channels is a common concept among traders, trend channels across different timeframes can be as crucial as the ones in the current timeframe. This indicator can find them from up to 3 different timeframes. While the general settings will perform well enough most of the time, the indicator also provides fine-tuning options for trend detection and trend invalidation for more experienced traders.
📌 HOW DOES IT WORK ?
Trend channels occur when the price of an asset starts making a strong movement in a bullish or a bearish direction. This indicator detects trend channels using the Simple Moving Average (SMA). When the slope of the SMA line exceeds the user-defined size, a trend channel will occur.
To understand how individual settings work, you can check the "⚙️SETTINGS" section.
⚙️SETTINGS
1. General Configuration
SMA Length -> Determines the length used in the SMA function. Higher values mean that an average of a longer timespan will be taken into account when spotting trends.
Slope Length -> Used while finding the slope of the trend channel. Check this example for slope length :
ATR Size -> This setting is taken into calculation while checking if a trend channel is worth plotting. The higher this setting is, the higher the slope of the trend channel must be to get rendered. You can take a look at the chart provided above for a visual explanation.
Channel Expander -> When a trend channel occurs, the top and the bottom of the channel are initally determined by the latest highest highs / lowest lows. This setting expands the channel vertically by X times Average True Range (ATR). Check this example :
Trend Invalidation -> The trend channel gets invalidated when the bar closes / wicks above the top of the channel, or below the bottom of the channel. With this setting, you can switch the behaviour between bar close / bar wick.
Avoid False Invalidation -> This setting makes it harder for trend channels to get invalidated to prevent false invalidations.
Retries : The trend channel will have 5 chances for invalidation. First 4 invalidations will not invalidate the channel. The trend channel will only invalidate once the 5th invalidation occur.
Volume : The bar that invalidates the trend channel must have a volume higher than 1.5x the average bar volume of the current chart. Otherwise the trend channel will not be invalidated.
None : The trend channel will invalidate at the first invalidation.
Mean and Standard Deviation Lines Description:
Calculates the mean and standard deviation of close-to-close price differences over a specified period, providing insights into price volatility and potential breakouts.
Manually calculates mean and standard deviation for a deeper understanding of statistical concepts.
Plots the mean line, upper bound (mean + standard deviation), and lower bound (mean - standard deviation) to visualize price behavior relative to these levels.
Highlights bars that cross the upper or lower bounds with green (above) or red (below) triangles for easy identification of potential breakouts or breakdowns.
Customizable period input allows for analysis of short-term or long-term volatility patterns.
Probability Interpretations based on Standard Deviation:
50% probability: mean or expected value
68% probability: Values within 1 standard deviation of the mean (mean ± stdev) represent roughly 68% of the data in a normal distribution. This implies that around 68% of closing prices in the past period fell within this range.
95% probability: Expanding to 2 standard deviations (mean ± 2*stdev) captures approximately 95% of the data. So, in theory, there's a 95% chance that future closing prices will fall within this wider range.
99.7% probability: Going further to 3 standard deviations (mean ± 3*stdev) encompasses nearly 99.7% of the data. However, these extreme values become less likely as you move further away from the mean.
Key Features:
Uses manual calculations for mean and standard deviation, providing a hands-on approach.
Excludes the current bar's close price from calculations for more accurate analysis of past data.
Ensures valid index usage for robust calculation logic.
Employs unbiased standard deviation calculation for better statistical validity.
Offers clear visual representation of mean and volatility bands.
Considerations:
Manual calculations might have a slight performance impact compared to built-in functions.
Not a perfect normal distribution: Financial markets often deviate from a perfect normal distribution. This means probability interpretations based on standard deviation shouldn't be taken as absolute truths.
Non-stationarity: Market conditions and price behavior can change over time, impacting the validity of past data as a future predictor.
Other factors: Many other factors influence price movements beyond just the mean and standard deviation.
Always consider other technical and fundamental factors when making trading decisions.
Potential Use Cases:
Identifying periods of high or low volatility.
Discovering potential breakout or breakdown opportunities.
Comparing volatility across different timeframes.
Complementing other technical indicators for confirmation.
Understanding statistical concepts for financial analysis.
Market Activity Risk"Market Activity Risk" (MAR) - Is a dynamic tool designed to structurize the competitive landscape of blockchain transaction blocks, offering traders a strategic edge in anticipating market movements.
By capturing where market participants are actively buying and selling, the MAR indicator provides insights into areas of high competition, allowing traders to make informed decisions and potentially front-run transactions.
At the heart of this tool are blockchain transaction fees , they can represent daily shifts in transaction fee pressures.
By measuring momentum in fees, we can analyze the urgency and competition among traders to have their transactions processed first. This indicator is particularly good at revealing potential support or resistance zones, areas where traders are likely to defend their positions or increase their stakes, thus serving as critical junctures for strategic decision-making.
Key Features:
Adaptable Standard Deviation Settings: Users have the flexibility to adjust the length of the standard deviation and its multipliers, managing the risk bands to their individual risk tolerance.
Color-Coded Risk Levels: The MAR indicator employs an intuitive color scheme, making it easy to interpret the data at a glance.
Multi-Currency Compatibility: While designed with Bitcoin in mind, the MAR indicator is versatile, functioning effectively across various cryptocurrencies including Ethereum, XRP, and several other major altcoins. This broad compatibility ensures that traders across different market segments can leverage the insights provided by this tool.
Customizable Moving Average: The 730-day moving average setting is thoughtfully chosen to reflect the nuances of a typical cryptocurrency cycle, capturing long-term trends and fluctuations. However, recognizing the diverse needs and perspectives of traders, the indicator allows for the moving average period to be modified.
EPS GridIntroduction:
This simple indicator offers insights into the relationship between stock prices and earnings, aiding in the assessment of valuation dynamics during different periods.
Understanding Price-to-Earnings (P/E) Ratio:
The commonly used Price to Earnings (P/E) ratio, calculated as Current Price divided by Earnings Per Share (EPS) over the trailing 12 months (TTM), serves as a fundamental metric. Here, we use this formula to estimate a stock's price. For instance, multiplying EPS by 10 provides an approximation of the stock price with a P/E ratio of 10.
The Grid Concept:
Utilizing this principle, a visual grid is constructed to illustrate how stock prices correlate with earnings. This grid facilitates the identification of both potential bargains and overvalued stocks.
How to Utilize:
This indicator is pre-configured with earnings multiples of 10, 15, 20, and 25. Simply add it to your chart and observe whether earnings demonstrate consistent growth. If prices lag behind earnings, a potential catch-up phase may ensue in the future.
Happy Investing!
Embark on your investment journey armed with this indicator, and may it guide you towards informed decisions and successful ventures.
[LCS] Bar HeatmapThe script is an overlay aimed at making price action within a range more comprehensible, i.e. what is the “story” that the band range is telling in relation to the price. You’ll see bars become brighter as they come near the upper or lower band, and dimmer around the average/middle of the two bands. This makes it easier to spot when the price is within an oversold or overbought area or when its experiencing a strong trend movement. The color shift from one to the other can also give a sense as to whether the price action is changing character (going from bullish to bearish or vice versa).
Settings are available for customization to the user's liking.
How to use:
1. Add the indicator.
2. Add another indicator to use as the source, such as Bollinger Bands, which provides upper and lower plots for a channel range.
3. Click the gear icon to access the indicator settings.
4. Mandatory: Select the Upper Band and Lower Band settings as the upper and lower plots from your source indicator of choice to define the range.
5. Save settings. You should now see bars on your chart.
6. Access the Chart Settings (not the indicator settings) and hide the Body, Borders, and Wick for the default candle bars to avoid overlap.
You may need to perform additional configuration steps in your source indicator to appropriately size the range of the upper and lower band plots for a meaningful visualization.
Table SessionIt's a part of a script taken from the lux_Algo indicator and optimized with the BTCUSDT symbol to display the real status of sessions since the crypto market is always open.
Key Features:
Customizable Sessions: Choose from major global financial centers, including New York, London, Tokyo, and Sydney. Customize the parameters for each session according to your preferences.
Intuitive Dashboard: The interactive dashboard displays real-time active and inactive sessions, providing you with an instant overview of the market status.
Automatic Timezone Support: Avoid timezone confusion with automatic exchange timezone support.
Customizable Aesthetics: Tailor the appearance of the table to your style with customization options, whether it's vibrant colors or text sizes.
Easy to Use: No technical expertise required. Simply enable the sessions you want to display and let the script handle the rest.
Why Choose "Table Session":
Time-Saving: Eliminate the time-consuming manual search for trading sessions. Our script does it for you, freeing up your attention for more critical decisions.
Unmatched Decision-Making: Instantly identify prime trading opportunities by understanding which sessions are active and when.
Total Flexibility: Customize the script to your trading style and preferred markets for a tailored trading experience.
Price SextantThe provided Pine Script™ code is for a technical analysis indicator called "Price Sextant." This indicator helps visualize the price position relative to its linear regression and standard deviation levels. Here's a brief description:
Price Sextant Indicator:
Purpose:
The Price Sextant indicator aims to show the current price's deviation from the linear regression line by dividing the price chart into different zones or sextants.
Components:
Linear Regression: The script calculates a linear regression line based on the closing prices over a specified length (default is 50 bars).
Standard Deviation Sections: It then computes standard deviation levels from the linear regression, creating upper and lower sections around the regression line.
Scoring: Each section is assigned a numerical score, and labels with corresponding scores are displayed on the chart.
Arrow and Midline: An arrow is drawn to indicate the current price's position in relation to the regression line and standard deviation bands. It changes color based in what section it is:
orange section shows a ranging price, below orange section -1 arrow turns red and show down trend and if arrow above +1 section it turns green and show strong up trend of price.
A midline is plotted to mark the position of the linear regression line.
Sextant Description:
In navigation, a sextant is an instrument used to measure the angle between two visible objects.
In the context of this indicator, the term "Sextant" is likely used metaphorically to describe the division of the price chart into six sections or zones based on the linear regression and standard deviation bands.
This indicator can help traders identify potential overbought or oversold conditions, as well as assess the strength and direction of the trend.
Please note that the effectiveness of the indicator depends on various factors, and it's advisable to use it in conjunction with other analysis tools for a comprehensive trading strategy.
SMA Custom Volume BandsThe "SMA Custom Volume Bands" indicator is a custom technical analysis tool designed for use on the TradingView platform. This indicator allows users to analyze and visualize key aspects of a stock's volume within the context of its 200-period Simple Moving Average (SMA). It features the following components:
Volume Bars: The indicator displays the volume of a selected financial instrument using colored bars. Green bars represent days when the trading volume is higher than the previous day, while red bars represent days when the trading volume is lower.
200 SMA of Volume: A blue line on the chart represents the 200-period Simple Moving Average of the trading volume, providing insight into the longer-term volume trend.
Customizable Percentage Line: Users have the flexibility to set a custom percentage value above or below the 200 SMA of trading volume. This line is plotted as a blue line on the chart, allowing traders to identify when volume meets their preferred percentage threshold.
The "SMA Custom Volume Bands" indicator is a simple tool for traders, aiding in the assessment of volume trends and potential price reversals in the context of moving averages. It offers customization options, enhancing its adaptability to individual trading strategies and preferences.
ATR Extensions (truss)This is an ATR band study. It presents the Daily and Weekly ATRs onto the chart, with an adjustable pivot as the mid-point.
ATR:
The study projects the following, from both daily and weekly timeframe analysis:
14-period ATR Bands for Daily
4-period ATR Bands for Weekly
Both period settings are adjustable by the user
Pivot:
The default pivot is set to (H+L+C)/3, but there's an option to use the current period's opening print as the pivot on a gap (or not on a gap, just enable it, and set the threshold to 0).
MGI:
This study also provides users the ability to the prior period Marketed Generated Information, such as: Current Period Open (Daily/Weekly), Prior Period Close, Prior Period High, Prior Period Low.
*The show_last setting is on 1 for these items for now, as I found them to clutter the chart and wanted to focus my efforts on the ATR bands. If there's a lot of demand for MGI studies, I can add to this or make a new one when I have time.
Happy to hear comments/suggestions/requests/praise.
Cheers
Diamond Grids @shrilssUncover hidden patterns and potential reversal zones with the Diamond Grids Indicator. This script introduces a unique approach to visualizing price extremes within a specified range, aiding traders in identifying critical support and resistance levels. The indicator dynamically calculates and displays diamond-shaped grids based on user-defined short and long lengths and ATR. Utilize this powerful tool to enhance your technical analysis and gain insights into potential trend reversals.
Key Features:
- Dynamic Grid Calculation: The indicator dynamically calculates and plots diamond-shaped grids based on specified short and long lengths. These grids represent key price extremes within the defined range.
- Multi-Level Support and Resistance: Each diamond grid consists of multiple support and resistance lines, providing a comprehensive view of potential reversal zones. Traders can use these levels to make informed decisions.
- Customizable Parameters: Tailor the indicator to your trading style with customizable parameters such as short length, long length, and a multiplier. Adjust these settings to align the indicator with your unique preferences.
- Real-Time Updates: The indicator updates in real-time, ensuring that traders have the latest information on potential reversal zones. Stay ahead of market movements and make timely decisions.
- Toggle Trend Visualization: Diamond-shaped grids are color-coded for easy interpretation. Positive and negative grid lines are distinctly marked, offering a clear visual representation of the overall trend.
Fibonacci Golden Wave | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fibonacci Golden Wave indicator! This indicator plots the Fibonacci golden zone from the last highs / lows instead of the pivots so that the resulting zone is shaped like a "wave". We believe this will help you to see the latest trend of the Fibonacci retracement levels easier. For more information of the working progress of the indicator, check the "How Does It Work" section of the description.
Features of the new Fibonacci Golden Wave Indicator :
Plots Fibonacci Golden Zone Based On Highs / Lows
A Different Approach To Fibonacci Retracement Levels
Customizable Swing Range & Retracement Levels
Customizable Visuals
🚩UNIQUENESS
The Fibonacci Golden Zone is a widely used concept in trading. To achieve the golden zone, the Fibonacci retracement levels are generally placed between pivot high / lows, resulting in a rectangular zone. However, this indicator will place the Fibonacci retracement levels between the last highest / lowest points going back from the current bar, resulting in a "wave" shape. This will help traders understand the latest trend of the Fibonacci golden zone. The ability to change the Fibonacci retracement levels to your liking in the settings is another unique function of this indicator.
📌 HOW DOES IT WORK ?
To calculate the Fibonacci wave, first of all we need to place a line at the lowest low and the highest high of the last 20 bars (can be changed from the settings)
Then, Fibonacci retracement levels are placed between those lines.
For the next step, put two points in the (1.0 - 0.618) = 0.382 and (1.0 - 0.5) = 0.5 (can be changed from the settings) levels of the Fibonacci retracement.
Repeat this step for each bar in the chart, then connect all the points.
Instead of a pivot approach to the Fibonacci retracement levels, this approach will not need a new pivot point to form before calculating the new Fibonacci golden zone, thus indicating the latest trend of the current golden zone.
🚨HOW YOU CAN USE THIS INDICATOR
Fibonacci retracement tool is typically used to find entries after a pullback in an uptrend or downtrend. The Fibonacci Golden Wave can be used in the same way. It can be used to find entries after markets retrace. In this example, the Fibonacci Golden Wave is able to catch 2 pullback opportunities to enter long in the market with the trend.
⚙️SETTINGS
1. General Configuration
Swing Range -> This setting determines how the highest high / lowest low levels are calculated. This essentially means that the script will look back X bars before the current bar in calculation to find the highest / lowest wick points.
2. Golden Zone
Here you can select which range of the Fibonacci retracement levels should be considered as the golden zone. The default value is 0.5 - 0.618.
BB + Volume Based Coloured BarsVolume Based Coloured Bars:
Most of the time traders are confused about if the price movements were supported by VOLUME .
This indicator colors the bars into volume weighted signals...
When prices go down bars are red and contraversely when up, bars are green. Additionally we have two more colors for each
situation:
PRICE BARS ARE:
DARK RED when prices go down and VOLUME is bigger than 150% of its (default 21 day) average, that indicates us price action is supported by a strong BEARISH VOLUME
RED when prices go down and VOLUME is BETWEEN 50% AND 150% of its (default 21 day) average, at this situation we can think that volume is neither strong nor weak
ORANGE when prices go down and VOLUME is just less than 50% of its (default 21 day) average, so the volume is weak and doesn't support the price action much
DARK GREEN when prices go UP and VOLUME bigger than 150% of its (default 21 day) average, that indicates us price action is supported by a strong BULLISH VOLUME
GREEN when prices go UP and VOLUME is BETWEEN 50% AND 150% of its (default 21 day) average, at this situation we can think that volume is neither strong nor weak
LIGHT GREEN when prices go UP and VOLUME is just less than 50% of its (default 21 day) average, so the volume is weak and doesn't support the price action much
21 day Simple Moving Average used as default value which can be changed in the settings menu,
21 day is considered as a month for STOCK Markets, it would be more accurate to set the value to 30 for CRYPTO CURRENCIES
And Bollinger bands
By Kıvanc Özbilgic thank you
