Feature ScalingLibrary "Feature_Scaling"
FS: This library helps you scale your data to certain ranges or standarize, normalize, unit scale or min-max scale your data in your prefered way. Mostly used for normalization purposes.
minmaxscale(source, min, max, length)
minmaxscale: Min-max normalization scales your data to set minimum and maximum range
Parameters:
source
min
max
length
Returns: res: Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale: Mean normalization of your data
Parameters:
source
length
Returns: res: Mean normalization result of the source
standarize(source, length, biased)
standarize: Standarization of your data
Parameters:
source
length
biased
Returns: res: Standarized data
unitlength(source, length)
unitlength: Scales your data into overall unit length
Parameters:
source
length
Returns: res: Your data scaled to the unit length
Statistics
TableBuilderLibrary "TableBuilder"
A helper library to make it simpler to create tables in pinescript
This is a simple table building library that I created because I personally feel that the built-in table building method is too verbose. It features chaining methods and variable arguments.
There are many features that are lacking because the implementation is early, and there may be antipatterns because I am not familiar with the runtime behavior like pinescript. If you have any comments on code improvements or features you want, please comment :D
Hurst Exponent Trend filterHello Traders !!
Hurst Exponent Trend filter utalises the Hurst Exponent and VAWMA (one of my other unique indicators - check my script publishings to use) to categorise the market and decide whether its Trending, H > 0.5, In random Geometric Brownian Motion (GBM) H = 0.5 or Mean reverting (Contrarian), H < 0.5, When Trending a Trend following indicator -The VAWMA- is color highlighted, By doing so, theoreticaly price noise is eleimnated leaving statsitcaly true zones of price action Trend.
What is The Hurst Exponent ?
Developed by The Hydrologist Edwin Harlod Hurst, The Hurst Exponent measures auto correlation in time series sets, Its first applicartions were in the natural world, e.g. in measureing the volume of water in a river.
Although since then it has had applications in Finance, this may be largly due to autocorrelation functions being usefull tools in univaritae time series anaylyis.
The Hurst Exponent (H) aims to segment the market into three differnet states, Trending (H > 0.5), Random Geometric Brownian Motion (H = 0.5) and Mean Reverting / Contrarian (H < 0.5). In my interpritation this can be used as a trend filter that iliminates market noise, which may be achived by only focusing on trending zones.
How to Interprit the Indicator :
Focusing on the Above image, When H > 0.5 A trend is presnet, to decide the directional bias, both VAWMA`s position is checked, given the fast VAWMA > slow VAWMA and the current close > the fast VAWMA a bulish bias is present, signafied by a vibrant green fill between the fast VAWMA and price action. note the exact opposite logic for a bearish bias and H > 0.5 (signafied by a vibrant red fill). .
I will continue to update this Trading Indicator.
PS : Thats given I can hopfully remmember
Happy Trading !!
SILLibrary "SIL"
mean_src(x, y)
calculates moving average : x is the source of price (OHLC) & y = the lookback period
Parameters:
x
y
stan_dev(x, y, z)
calculates standard deviation, x = source of price (OHLC), y = the average lookback, z = average given prior two float and intger inputs, call the f_avg_src() function in f_stan_dev()
Parameters:
x
y
z
vawma(x, y)
calculates volume weighted moving average, x = source of price (OHLC), y = loookback period
Parameters:
x
y
gethurst(x, y, z)
calculates the Hurst Exponent and Hurst Exponent average, x = source of price (OHLC), y = lookback period for Hurst Exponent Calculation, z = lookback period for average Hurst Exponent
Parameters:
x
y
z
Multi-Asset Month/Month % change 10yr Averages10 Year Averages of Month-on-Month % change: Shows current asset, and 3x user input assets
-For comparing seasonal tendencies among different assets.
-Choose from a variety of monthly average measures as source: sma(close, length), sma(ohlc4, length); as well as sma's of vwap, vwma, volume, volatility. (sma = simple moving average).
-Averages based on month cf previous month: i.e. Feb % = Feb compared to Jan; Jan % = Jan compared to prev year's Dec. Average of the last 10yrs of these values is the printed value.
-Plot on current year (2023), or previous year (2022). If Plotting on current year, and a month of year has not yet occured, a 9yr average will be printed.
/// notes ///
-daily bars in month is a global setting; so choose assets which have similar trading days per month. i.e. Crypto: length = 30 (days per month); Stocks/FX/Indices: length = 21 (days per month).
-only plots on Daily timeframe.
10yr Avgs; Plotting with Year = 2022; using sma(close, 21) as source for average M/M change
CBDE OscillatorWhat makes The Universe grow at an accelerating pace?
Dark Energy.
What makes The Economy grow at an accelerating pace?
Debt.
Debt is the Dark Energy of The Economy.
The Central Bank Dark Energy Oscillator (CBDEO) is a companion to the popular CBDET (Central Bank Dark Energy Tracer) script.
CBDEO is an oscillator that shows up in a separate TradingView pane in order to provide a relative change signal. It uses the same equations to aggregate central bank liquidity that are used in CBDET, and adds unique analysis tools that provide rate of change data.
There are 2 signals in the chart. First is the change/delta on a per bar basis, based on the chart time frame. The default style for this plot is "columns". This style parameter can be changed in the settings, along with each plot's visibility.
The second plot is a divergence signal that tests the change vs a simple moving average of the CBDET signal (central bank liquidity). The SMA length is customizable in the Input tab within the settings for the indicator. The SMA is based on the chart's current time frame.
The changes in liquidity on various time frames, and calculated as divergence against the liquidity signal SMA can be useful in determining the rate of change in liquidity, and therefore potential thrust in market price action.
Fundamentals Graphing [Kioseff Trading]Hello!
This script "Fundamental Comparison" allows you to compare almost any fundamental metric across 40 assets; various charting methods are employable!
Thank you to @TradingView / @PineCoders for providing the framework in the "Financials on Chart" indicator - thereby expediting a generous portion of work (:
Features
Most metrics included in the "Financials on Chart" indicator are graphable
Scatter chat
Histogram
Bar chart
Pie chart
Reversible scaling
Adjusts to the size of your chart
10 industry presets
Custom symbol dataset
Retrieve, graph, and compare fundamental data by quarter/year. The indicator can "look back" to grab fundamental data from previous quarters/years.
Sortable data - ascending/descending
Built-in search function
Self-Adjusting Graph
The graph adjusts to the orientation/size of your chart!
The image above shows the graph on a price chart with a 229 bar difference.
The image above shows the same price chart; however, there's now a 1941 bar difference to which the fundamentals graph automatically adjusts!
The images above show the same expansion/reduction for the pie chart; all graph types shrink and expand with the price chart.
Fundamental Metrics
The image above shows most of the settings for the indicator!
Most of the metrics from the "Financials on Chart" indicator are included!
Quarterly or annual data are retrievable, in addition to industry presets.
Additionally, you can retrieve the financial data any number of intervals back (so long as the data exists and is provided by TradingView)
The image above shows an example of retrieving a fundamental metric from a previous FQ. The same can be done with FY!
Sortable Data
All data retrieved by the indicator is sortable - allowing for, hopefully, easier evaluations (:
The image above exemplifies the capability!
Data from any quarter/year can be sorted similarly.
Reversible Scale / Reversible Color Scheme
A seemingly trivial feature: a reversible scale and color scheme should assist in instances where "a higher number is bad" and a "lower number is good" - in addition to other scenarios.
For instance,
The image above shows a graph for taxes. The scale and color scheme have not been reversed and, presently, larger columns are correlating to a smaller amount of money out/in than smaller columns.
This can be fixed by reversing the scale.
The image above shows the "Reverse Scale" feature selected. Consequently, larger columns correlate to a larger amount of money out/in.
Similarly, a "Reverse Colors" feature is available. A useful option when a more positive number is "bad" and a less positive number is "good".
For instance,
The image above shows graphing for the Beneish M-Score.
A more positive number is generally interpreted as "bad"; a less positive number is generally interpreted as "good".
However, our color scheme doesn't seem to correspond (unless one considers red = good and green = bad)
Let's enable the reverse color feature.
The image above shows the completion of the process!
Finally, there's a built-in search feature that's a bit difficult to use; however, should you grow comfortable with it you may save some time sorting through fundamental data.
Big thanks to @rumpypumpydumpy for providing an easy-to-work-with framework for the pie chart!
That's all for now; thank you for checking this out.
VIX Reference IndicatorHello everyone,
Releasing my VIX reference indicator.
What is it:
This indicator displays the current trading behaviour of the VIX.
It displays it in Z-Score Format along with identifying previous areas of reversal and displaying when the RSI is overbought or oversold on the VIX.
Who is it good for:
It is good for both day and swing traders who use the VIX in their trading plans.
It permits traders to look at different aspects of the VIX (RSI, Z-Score and Reversal areas) simultaneously while they are watching their current traded stock.
How does it work:
The indicator works by converting the VIX into a Z-Score (similar to bollinger bands).
It then plots the VIX out in Z-Score format in the indicator.
Because it is plotting the VIX based on Z-Score, it looks back to previous areas where the Z-Score led to a reversal (i.e. what was the lowest or highest Z-Score the VIX achieved in the lookback period before reversing).
It also looks at the RSI of the VIX. If the VIX RSI crosses at or above 70 (overbought), it will change the colour of the line to green. This means the VIX is overbought and will likely sell and thus, the thesis is, as the VIX sells, the stock you are trading should come up.
Below is a picture of the different aspects of the indicator:
Customaization:
Per usual, you can customize the colours and bands to your liking.
You are also able to specify the RSI length you want to look at as well as the Z-Score Reversal length and the timeframe length of the chart you are looking at.
The default settings are 75 Average Length lookback for the Z-Score Reversal and the Chart and 14 period RSI.
TIPS:
The most persuasive setups are when you get all 3 of the following:
1. A signal that supports the thesis (buy or sell) along with:
2. An RSI signal that supports the z-score signal along with:
3. The VIX trading at an extreme end of its Z-Score range
Example:
In the example above you will see the following conditions are met:
1. Z-Score historical reversal point identified (short)
2. VIX RSI is oversold (short)
3. VIX is at the bottom of its Z-Score range (short)
As always, I have done a quick tutorial video for your reference which you can see below:
Leave your questions/comments/requests below or on the video as I am always happy to get feedback on improvements and functionality.
Thank you everyone checking it out and safe trades!
Correlation Matrix + Heatmap - By LeviathanA quick and easy way to visualize the correlation between 10 different symbols over a custom period of time, in the form of a matrix with a heatmap visualization and additional tools such as price increase/decrease %, multi-timeframe function, customizable appearance and more.
The indicator displays correlation coefficients for each pair of 10 assets in a matrix format, where the rows and columns represent the assets being compared between each other. The color of each cell corresponds with the strength of the correlation coefficient, allowing you to quickly identify which assets are strongly correlated, and which are not, and use that information to adjust risk or even get trade ideas. Coupled with the "Price Change" function, the script will help you find trade opportunities based on eg. the long-term correlation strength and short-term price direction differences between two assets. The "Correlation Length" input defines the number of bars used for calculating the correlation, while "Price Change Length" defines the bar to which the current price is compared when calculating price change (eg. the input 20 means that the script will compare the price of the candle close that occurred 20 bars ago and the current price).
Correlation coefficient:
The correlation coefficient is a statistical measure that quantifies the degree of linear relationship between two variables. The correlation coefficient ranges from -1 to 1, with 1 being perfect positive correlation and -1 being perfect negative correlation.
• A correlation coefficient of 1 indicates a perfect positive linear relationship between two variables. This means that when one variable increases, the other variable also increases in a proportional manner.
• A correlation coefficient of 0 indicates no linear relationship between two variables. This means that changes in one variable do not affect the other variable.
• A correlation coefficient of -1 indicates a perfect negative linear relationship between two variables. This means that when one variable increases, the other variable decreases in a proportional manner.
Inspired by @RicardoSantos's script
libKageMiscLibrary "libKageMisc"
Kage's Miscelaneous library
print(_value)
Print a numerical value in a label at last historical bar.
Parameters:
_value : (float) The value to be printed.
Returns: Nothing.
barsBackToDate(_year, _month, _day)
Get the number of bars we have to go back to get data from a specific date.
Parameters:
_year : (int) Year of the specific date.
_month : (int) Month of the specific date. Optional. Default = 1.
_day : (int) Day of the specific date. Optional. Default = 1.
Returns: (int) Number of bars to go back until reach the specific date.
bodySize(_index)
Calculates the size of the bar's body.
Parameters:
_index : (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) The size of the bar's body in price units.
shadowSize(_direction)
Size of the current bar shadow. Either "top" or "bottom".
Parameters:
_direction : (string) Direction of the desired shadow.
Returns: (float) The size of the chosen bar's shadow in price units.
shadowBodyRatio(_direction)
Proportion of current bar shadow to the bar size
Parameters:
_direction : (string) Direction of the desired shadow.
Returns: (float) Ratio of the shadow size per body size.
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index : (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Ratio of the body size per close price.
lastDayOfMonth(_month)
Returns the last day of a month.
Parameters:
_month : (int) Month number.
Returns: (int) The number (28, 30 or 31) of the last day of a given month.
nameOfMonth(_month)
Return the short name of a month.
Parameters:
_month : (int) Month number.
Returns: (string) The short name ("Jan", "Feb"...) of a given month.
pl(_initialValue, _finalValue)
Calculate Profit/Loss between two values.
Parameters:
_initialValue : (float) Initial value.
_finalValue : (float) Final value = Initial value + delta.
Returns: (float) Profit/Loss as a percentual change.
gma(_Type, _Source, _Length)
Generalist Moving Average (GMA).
Parameters:
_Type : (string) Type of average to be used. Either "EMA", "HMA", "RMA", "SMA", "SWMA", "WMA" or "VWMA".
_Source : (series float) Series of values to process.
_Length : (simple int) Number of bars (length).
Returns: (float) The value of the chosen moving average.
xFormat(_percentValue, _minXFactor)
Transform a percentual value in a X Factor value.
Parameters:
_percentValue : (float) Percentual value to be transformed.
_minXFactor : (float) Minimum X Factor to that the conversion occurs. Optional. Default = 10.
Returns: (string) A formated string.
isLong()
Check if the open trade direction is long.
Returns: (bool) True if the open position is long.
isShort()
Check if the open trade direction is short.
Returns: (bool) True if the open position is short.
lastPrice()
Returns the entry price of the last openned trade.
Returns: (float) The last entry price.
barsSinceLastEntry()
Returns the number of bars since last trade was oppened.
Returns: (series int)
getBotNameFrosty()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getBotNameZig()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getTicksValue(_currencyValue)
Converts currency value to ticks
Parameters:
_currencyValue : (float) Value to be converted.
Returns: (float) Value converted to minticks.
getSymbol(_botName, _botCustomSymbol)
Formats the symbol string to be used with a bot
Parameters:
_botName : (string) Bot name constant. Either BOT_NAME_FROSTY or BOT_NAME_ZIG. Optional. Default is empty string.
_botCustomSymbol : (string) Custom string. Optional. Default is empy string.
Returns: (string) A string containing the symbol for the bot. If all arguments are empty, the current symbol is returned in Binance format.
showProfitLossBoard()
Calculates and shows a board of Profit/Loss through the years.
Returns: Nothing.
MVRV Z Score and MVRV Free Float Z-ScoreIMPORTANT: This script needs as much historic data as possible. Please run it on INDEX:BTCUSD , BNC:BLX or another chart of sufficient length.
MVRV
The MVRV (Market Value to Realised Value Ratio) simply divides bitcoins market cap by bitcoins realized market cap. This was previously impossible on Tradingview but has now been made possible thanks to Coinmetrics providing us with the realized market cap data.
In the free float version, the free float market cap is used instead of the regular market cap.
Z-Score
The MVRV Z-score divides the difference between Market cap and realized market cap by the historic standard deviation of the market cap.
Historically, this has been insanely accurate at detecting bitcoin tops and bottoms:
A Z-Score above 7 means bitcoin is vastly overpriced and at a local top.
A Z-Score below 0.1 means bitcoin is underpriced and at a local bottom.
In the free float version, the free float market cap is used instead of the regular market cap.
The Z-Score, also known as the standard score is hugely popular in a wide range of mathematical and statistical fields and is usually used to measure the number of standard deviations by which the value of a raw score is above or below the mean value of what is being observed or measured.
Credits
MVRV Z Score initially created by aweandwonder
MVRV initially created by Murad Mahmudov and David Puell
Time of Day - Volatility Report█ OVERVIEW
The indicator analyses the volatility and reports statistics by the time of day.
█ CONCEPTS
Around the world and at various times, different market participants get involved in the markets. How does this affect the market?
Knowing this gets you better prepared and improves your trading. Here are some ideas to explore:
When is the market busy and quiet?
What time is it the most volatile?
Which pairs in your watchlist are moving while you are actively trading?
Should you adjust your trading time? Should you change your trading pairs?
When does your strategy perform the best?
What entry times do your winners have in common? What about the exit times of your losers?
Is it worth keeping your trade open overnight?
Bitcoin (UTC+0)
Gold (UTC+0)
Tesla, Inc. (UTC+0)
█ FEATURES
Selectable time zones
Display the statistics in your geographical time zone (or other market participants), the exchange time zone, or UTC+0.
Configurable outputs
Output the report statistics as mean or median.
█ HOW TO USE
Plot the indicator and visit the 1H timeframe.
█ NOTES
Gaps
The indicator includes the volatility from gaps.
Calculation
The statistics are not reported from absolute prices (does not favor trending markets) nor percentage prices (does not depict the different periods of volatility that markets can go through). Instead, the script uses the prices relative to the average range of previous days (daily ATR).
Extended trading session
The script analyses extended hours when activated on the chart.
Daylight Saving Time (DST)
The exchange time or geographical time zone selected may observe Daylight Saving Time. For example, NASDAQ:TSLA always opens at 9:30 AM New York time but may see different opening times in another part of the globe (New York time corresponds to UTC-4 and UTC-5 during the year).
TSG 5% Daily CalculatorThis is a calculator I've created to help visualize Target and Risk Levels based on leverage use to trade crypto.
How to use it ?
Basic Use:
- Set the Direction of your trade - either Long or Short
- Set the Leverage you use in your trade - it is crutial to define the risk and target levels
- Set the Risk Amount you want to risk (in %) of your total balance ( Advised 2-3% )
- Set the Target Amount you want to profit at the target (the idea of this is 5% daily, so 5%).
- Set Entry Price if you have opened a position, and you will visually see your progress. Otherwise the levels will be adjusted to the Close of the candle.
Additions:
- Set your Initial Balance - to help you visualize on the Table your progress
- Set your Current Balance - for visualization purposes on ongoing trades and on the Table
- Entry Date - Advised to set it when you open a trade - you will be tracking the progress of your trade since the candle on which you opened it
- Show Table - to show the table of 5% daily and the target it is set on per day
- Table Size - Set table to be small or normal
- Together with the Table you have a big blue area behind that ends on the day you will become a Millionaire based on the Initial Balance, Current balance and Target % in your inputs
Global Unemployment RateThe Global Unemployment rate estimates what is the rate of unemployment of the whole world, taking same data from multiple countries and normalizing them.
It includes the Eurozone + 19 countries from all the continents, which are some of the richest countries as well as some of the most populous.
It sadly does not include India as its unemployment data on trading view as of today (Feb 2023) is only since year 2019, which is too short
VS Score [SpiritualHealer117]An experimental indicator that uses historical prices and readings of technical indicators to give the probability that stock and crypto prices will be in a certain range on the next close. This indicator may be helpful for options traders or for traders who want to see the probability of a move.
It classifies returns into five categories:
Extreme Rise - Over 2 standard deviations above normal returns
Rise - Between 0.5 standard deviations and 2 standard deviations above normal returns
Flat - Falling in the range of +/- 0.5 standard deviations of normal returns
Fall - Between 0.5 standard deviations and 2 standard deviations below normal returns
Extreme Fall - Over 2 standard deviations below normal returns
It is an adaptive probability model, which trains on the previous 1000 data points, and is calculated by creating probability vectors for the current reading of the PPO, MA, volume histogram, and previous return, and combining them into one probability vector.
Stock Data Table█ OVERVIEW
This is a table that shows some information about stocks. It is divided into four sections:
1) Correlation
2) Shares
3) Daily Data
4) Extended Session Data
The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces.
It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more.
1) Correlation
The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock.
To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized.
The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends.
If you are interested in correlation, I suggest taking a look at my dedicated indicator:
2) Shares
This feature provides you with quick access to key information about shares and market capitalization.
On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares.
The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap.
The classification for market cap and free-float market cap is set in this way:
Mega Cap: $200 billion or more
Large Cap: between $10 billion and $200 billion
Mid Cap: between $2 billion and $10 billion
Small Cap: between $300 million and $2 billion
Micro Cap: less than $300 million
Penny Stocks: less than $5 (customizable)
Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities.
3) Daily Data
This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days.
ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices.
The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them.
4) Extended Session Data
The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume.
The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours.
The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened.
By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges.
Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows.
█ GENERAL NOTES
• Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable".
• If you cannot see certain data, that simply means it is not available.
Profile Any Indicator [Kioseff Trading]Create a visible-range profile for almost any indicator!
Hello!
This script "Profile Any Indicator" allows you to create a visible-range profile for *almost* any indicator hosted on TradingView.
Therefore, the only requirement:
1. Indicator must have a retrievable plot value.
Should your indicator have a retrievable plot value (most indicators do), you can use this script to create a visible-range profile of its values!
Consequently, the profile's always oriented to the left-most or right-most side of your chart - updating as you scroll left or right.
The image above shows me using the indicator to create a profile for MACD. I am largely zoomed out and the profile has adjusted to chart orientation.
Let's zoom in and see what happens!
Voila!
The indicator adjusted to my chart positioning and created a new visible-range profile! No manual adjustments are required (:
Instructions
1. Load the indicator you'd like to profile on the chart.
The image above shows me applying the OBV indicator to the chart. Additionally, the "Profile Any Indicator" script is also loaded on the chart, instructing me to add an indicator to its settings.
2. From the settings for "Profile Any indicator", locate the "Indicator" setting and select the indicator you would like to profile.
The image above shows me selecting the OBV indicator in the settings for "Profile Any Indicator".
Once steps 1 and 2 are complete you'll have a visible-range profile for the selected indicator on your chart!
The image above shows the completion of the process.
3. Merge the indicator pane or select to plot the selected indicator in the current pane.
From here, you can select to plot the value of the selected indicator in the current pane or merge the selected indicator's pane (which must stay on the chart) with the pane designated to the "Profile Any Indicator" script.
The image above shows the two panes merged.
The image above shows the two panes separate. Alternatively, in the settings for "Profile Any Indicator", I selected to plot OBV in its pane.
You can select to populate the visible-range profile on the right of the chart!
Additionally, you can modify the POC line, value area %, and, essentially, any parameter you'd find for a volume-profile-like indicator!
Thanks for checking this out (:
Premium Linear Regression - The Quant ScienceThis script calculates the average deviation of the source data from the linear regression. When used with the indicator, it can plot the data line and display various pieces of information, including the maximum average dispersion around the linear regression.
The code includes various user configurations, allowing for the specification of the start and end dates of the period for which to calculate linear regression, the length of the period to use for the calculation, and the data source to use.
The indicator is designed for multi-timeframe use and to facilitate analysis for traders who use regression models in their analysis. It displays a green linear regression line when the price is above the line and a red line when the price is below. The indicator also highlights areas of dispersion around the regression using circles, with bullish areas shown in green and bearish areas shown in red.
Quantitative Price Forecasting - The Quant ScienceThis script is a quantitative price forecasting indicator that forecasts price changes for a given asset.
The model aims to forecast future prices by analyzing past data within a selected time period. Mathematical probability is used to calculate whether starting from time X can lead to reaching prices Y1 and Y2. In this context, X represents the current selected time period, Y1 represents the selected percentage decrease, and Y2 represents the selected percentage increase. The probabilities are estimated using the simple average.
The simple average is displayed on the chart, showing in red the periods where the price is below the average and in green the periods where the price is above the average.
This powerful tool not only provides forecasts of future prices but also calculates the distribution of variations around the average. It then takes this information and creates an estimate of the average price variation around the simple average.
Using a mean-reverting logic, buying and selling opportunities are highlighted.
We recommend turning off the display of bars on your chart for a better experience when using this indicator.
Unlock the full potential of your trading strategy with our powerful indicator. By analyzing past price data, it provides accurate forecasts and calculates the probability of reaching specific price targets. Its mean-reverting logic highlights buying and selling opportunities, while the simple moving average displayed on the chart shows periods where the price is above or below the average. Additionally, it estimates the average variation of price around the simple average, giving you valuable insights into price movements. Don't miss out on this valuable tool that can take your trading to the next level
Intrabar Analyzer [Kioseff Trading]Hello!
This indicator (Intrabar Analyzer) presents intrabar data in various derivative forms.
On-Chart Features
Traditional price data down to 1 min.
Heikin-Ashi price data down to 1 min.
Kagi price data down to 1 min.
Point & Figure price data down to 1 min.
Renko price data down to 1 min.
Linebreak price data down to 1 min.
LinReg channel
SMA
EMA
ALMA
Echomorphic Average (A @kaigouthro special!)
HMA
RMA
WMA
VWMA
VWAP
SWMA
SAR
Supertrend
On-Chart Features
Price x Volume graph
Intrabar technical rating
Positive volume index
Negative volume index
Price volume trend
RSI
%k
ROC
MFI
MFC
OBV
CCI
BBW
CMO
COG
KCW
MOM
RANGE
%r
Let's look at the objects populated by the indicator!
The image above shows what data correlates to the populated graphs!
Let's dial in on the price x volume graph.
The image above provides an example/explanation of the price x volume graph. All data is sourced from a lower timeframe (configurable - default = 1 minute).
Colors are configurable; the plot characters are configurable.
The numbers above show an alternative view of the price x volume graph!
Price graph
The price graph can populate 6 variations of price data: traditional, heikin-ashi, renko, point & figure, line break, and kagi.
The subsequent images will show all available forms of price data, in addition to a randomly selected, on-chart technical indicator!
Kagi + LinReg
Traditional + EMA
Renko + SAR
Point & Figure + ALMA
Heikin-Ashi + Supertrend
Line Break + VWAP
You can display up to three indicators concomitantly - all calculated using intrabar data!
Lastly, the indicator displays the TradingView calculated technical rating for the intrabar.
The technical ratings are multiplied by x100 and oriented left & right of the price box. Left values are negative; right values are positive. The "0" value is not shown; therefore, if the technical rating isn't highlighted then the rating is "0".
The image above shows the technical rating system in action (:
That's it!
This was a fun project and I'm certainly willing to add more - let me know if there's anything you'd like included.
Additionally, a future feature involves compatibility with any custom indicator! Stay tuned; thank you for checking this out (:
Thank you to @kaigouthro, TradingView and @PineCoders for providing some cool libraries to play with!
Weekday Change & Volume Average TableHaving a reference point for comparing with current data has always been an important task in market analysis. This script tried to give a better understanding based on weekdays.
This script shows that in the current ticker, what is the average movement of the price (High-Low) and volume for each weekday. Depending on the market and the exchange it should be different.
The Interesting point is that, for example in BINANCE:BTCUSDT , on Saturday and Sunday, volume is about 30% less and the price movement is about 20% less.
The script can be used on any timeframe and any symbol, just remember that the data shown is based on the candles on the chart, so it is different also based on your tradingview's account since Historical bars available for Basic is 5K, Pro & Pro+ is 10K and Premium is 20K; And in lower timeframes it is calculating more recent data.
