Percents_0,25%I was watching some videos about price action and saw one covering the behavior of institutions and how it is agressive and defensive in some level of percentage of changing in price.
Curious, I wrote this script and it is realy interinsting how the price is kept or cross some levels.
In this script I chose the 0.25% change as default and 3 EMA of 8, 34 and 144 to help.
The level 0.0 is the ysterday daily closing price, above it the lines show the levels incrising with "pitch" 0.25% in green, bellow it the levels incrising with "pitch" 0.25% in orange.
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Take a look and comment.
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Observation: this script fit better in sessions that have a daily closing price. Indices that close only in weekendas can cause distortions. There is little bug in the last candle, the price 0.0 follow the close price from the current candle. If someone could fix it I thanks.
Cari dalam skrip untuk "sessions"
Volume Variation Index IndicatorThis tool is a quantitative tip for analysts who study volumes or create volume based trading strategies.
Like all our projects, we start with a statistical logic to which we add coding logic.
This indicator can save a huge amount of time in calculating the variation of volume between sessions .
How it work
The indicator calculates the difference between the volume of the last closing bar and the volume of the previous closing bar. It shows the difference between the trading volumes.
The session in which the trading volume is up are represented in green.
Red session represent trading volume down.
We have added a third function.
Through the User Interface the trader can activate or deactivate the variation average.
The indicator is able to calculate the average of the volume changes by representing it with a blue line.
To activate the average, simply set it to ON in the User Interface.
By default, the indicator calculates the average of the last 10 periods, but you are free to set this parameter in the User Interface.
Data access
To access the data, simply move the cursor. When you move the cursor over the green bars, the increase data will be displayed in green. By hovering the cursor over the red bars you will see the decrease data in red. By hovering the cursor over the average will show you the average data in blue.
The data is displayed in the top left corner of the indicator dashboard.
If you found this indicator helpful, please like our script.
richard tortorielloPRASHANT SHAH is one of India’s leading practitioners of one dimensional charts. He has worked for a number of years with various financial firms, using technical analysis and noiseless charts in particular. His first book on point and figure charts was a huge success. He appears on business channels and writes regular blogs and columns. He also conducts live market trading sessions on rule-based trading systems. His mission is to help others become objective, noiseless and process oriented traders. Prashant is the architect of a market analysis software called TradePoint, which is being used and appreciated by professional traders and market analysts due to its advanced and unlimited capabilities.
HighTimeframeTimingLibrary "HighTimeframeTiming"
@description Library for sampling high timeframe (HTF) historical data at an arbitrary number of HTF bars back, using a single security() call.
The data is fixed and does not alter over the course of the HTF bar. It also behaves consistently on historical and elapsed realtime bars.
‼ LIMITATIONS: This library function depends on there being a consistent number of chart timeframe bars within the HTF bar. This is almost always true in 24/7 markets like crypto.
This might not be true if the chart doesn't produce an update when expected, for example because the asset is thinly traded and there is no volume or price update from the feed at that time.
To mitigate this risk, use this function on liquid assets and at chart timeframes high enough to reliably produce updates at least once per bar period.
The consistent ratio of bars might also break down in markets with irregular sessions and hours. I'm not sure if or how one could mitigate this.
Another limitation is that because we're accessing a multiplied number of chart bars, you will run out of chart bars faster than you would HTF bars. This is only a problem if you use a large historical operator.
If you call a function from this library, you should probably reproduce these limitations in your script description.
However, all of this doesn't mean that this function might not still be the best available solution, depending what your needs are.
If a single chart bar is skipped, for example, the calculation will be off by 1 until the next HTF bar opens. This is certainly inconsistent, but potentially still usable.
@function f_offset_synch(float _HTF_X, int _HTF_H, int _openChartBarsIn, bool _updateEarly)
Returns the number of chart bars that you need to go back in order to get a stable HTF value from a given number of HTF bars ago.
@param float _HTF_X is the timeframe multiplier, i.e. how much bigger the selected timeframe is than the chart timeframe. The script shows a way to calculate this using another of my libraries without using up a security() call.
@param int _HTF_H is the historical operator on the HTF, i.e. how many bars back you want to go on the higher timeframe. If omitted, defaults to zero.
@param int _openChartBarsIn is how many chart bars have been opened within the current HTF bar. An example of calculating this is given below.
@param bool _updateEarly defines whether you want to update the value at the closing calculation of the last chart bar in the HTF bar or at the open of the first one.
@returns an integer that you can use as a historical operator to retrieve the value for the appropriate HTF bar.
🙏 Credits: This library is an attempt at a solution of the problems in using HTF data that were laid out by Pinecoders in "security() revisited" -
Thanks are due to the authors of that work for an understanding of HTF issues. In addition, the current script also includes some of its code.
Specifically, this script reuses the main function recommended in "security() revisited", for the purposes of comparison. And it extends that function to access historical data, again just for comparison.
All the rest of the code, and in particular all of the code in the exported function, is my own.
Special thanks to LucF for pointing out the limitations of my approach.
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EXPLANATION
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Problems with live HTF data: Many problems with using live HTF data from security() have been clearly explained by Pinecoders in "security() revisited"
In short, its behaviour is inconsistent between historical and elapsed realtime bars, and it changes in realtime, which can cause calculations and alerts to misbehave.
Various unsatisfactory solutions are discussed in "security() revisited", and understanding that script is a prerequisite to understanding this library.
PineCoders give their own solution, which is to fix the data by essentially using the previous HTF bar's data. Importantly, that solution is consistent between historical and realtime bars.
This library is an attempt to provide an alternative to that solution.
Problems with historical HTF data: In addition to the problems with live HTF data, there are different issues when trying to access historical HTF data.
Why use historical HTF data? Maybe you want to do custom calculations that involve previous HTF bars. Or to use HTF data in a function that has mutable variables and so can't be done in a security() call.
Most obviously, using the historical operator (in this description, represented using { } because the square brackets don't render) on variables already retrieved from a security() call, e.g. HTF_Close{1}, is not very useful:
it retrieves the value from the previous *chart* bar, not the previous HTF bar.
Using {1} directly in the security() call instead does get data from the previous HTF bar, but it behaves inconsistently, as we shall see.
This library addresses these concerns as well.
Housekeeping: To follow what's going on with the example and comparisons, turn line labels on: Settings > Scales > Indicator Name Label.
The following explanation assumes "close" as the source, but you can change it if you want.
To quickly see the difference between historical and realtime bars, set the HTF to something like 3 minutes on a 15s chart.
The bars at the top of the screen show the status. Historical bars are grey, elapsed realtime bars are red, and the realtime bar is green. A white vertical line shows the open of a HTF bar.
A: This library function f_offset_synch(): When supplied with an input offset of 0, it plots a stable value of the close of the *previous* HTF bar. This value is thus safe to use for calculations and alerts.
For a historical operator of {1}, it gives the close of the *last-but-one* bar. Sounds simple enough. Let's look at the other options to see its advantages.
B: Live HTF data: Represented on the line label as "security(){0}". Note: this is the source that f_offset_synch() samples.
The raw HTF data is very different on historical and realtime bars:
+ On historical bars, it uses a flat value from the end of the previous HTF bar. It updates at the close of the HTF bar.
+ On realtime bars, it varies between and within each chart bar.
There might be occasions where you want to use live data, in full knowledge of its drawbacks described above. For example, to show simple live conditions that are reversible after a chart bar close.
This library transforms live data to get the fixed data, thus giving you access to both live and fixed data with only one security() call.
C: Historical data using security(){H}: To see how this behaves, set the {H} value in the settings to 1 and show options A, B, and C.
+ On historical bars, this option matches option A, this library function, exactly. It behaves just like security(){0} but one HTF bar behind, as you would expect.
+ On realtime bars, this option takes the value of security(){0} at the end of a HTF bar, but it takes it from the previous *chart* bar, and then persists that.
The easiest way to see this inconsistency is on the first realtime bar (marked red at the top of the screen). This option suddenly jumps, even if it's in the middle of a HTF bar.
Contrast this with option A, which is always constant, until it updates, once per HTF bar.
D: PineCoders' original function: To see how this behaves, show options A, B, and D. Set the {H} value in the settings to 0, then 1.
The PineCoders' original function (D) and extended function (E) do not have the same limitations as this library, described in the Limitations section.
This option has all of the same advantages that this library function, option A, does, with the following differences:
+ It cannot access historical data. The {H} setting makes no difference.
+ It always updates at the open of the first chart bar in a new HTF bar.
By contrast, this library function, option A, is configured by default to update at the close of the last chart bar in a HTF bar.
This little frontrunning is only a few seconds but could be significant in trading. E.g. on a 1D HTF with a 4H chart, an alert that involves a HTF change set to trigger ON CLOSE would trigger 4 hours later using this method -
but use exactly the same value. It depends on the market and timeframe as to whether you could actually trade this. E.g. at the very end of a tradfi day your order won't get executed.
This behaviour mimics how security() itself updates, as is easy to see on the chart. If you don't want it, just set in_updateEarly to false. Then it matches option D exactly.
E: PineCoders' function, extended to get history: To see how this behaves, show options A and E. Set the {H} value in the settings to 0, then 1.
I modified the original function to be able to get historical values. In all other respects it is the same.
Apart from not having the option to update earlier, the only disadvantage of this method vs this library function is that it requires one security() call for each historical operator.
For example, if you wanted live data, and fixed data, and fixed data one bar back, you would need 3 security() calls. My library function requires just one.
This is the essential tradeoff: extra complexity and less robustness in certain circumstances (the PineCoders function is simple and universal by comparison) for more flexibility with fewer security() calls.
Find Best Performing MA For Golden CrossHello!
This script calculates the performance of any asset following a golden cross of two moving averages of any length!
The calculated moving averages are: SMA, EMA, HMA, VWMA, WMA, LSMA, and ALMA
The best performing moving average for the selected data series is listed first, followed by a descending order.
The indicator works on any timeframe, any asset, and can even be used on indicators such as RSI, %b, %k, etc.
The Moving Average Length and Source Are Customizable!
The Moving Averages Can Be Plotted on Most Data Series, Such As:
Close, Open, Low, hlc3, RSI, %B, %K, Etc.
The Script Will Recalculate for the Timeframe (1m, 5m, D, etc.)!
The (XX Candles) Indicates the Average Number of
Sessions the Shorter Ma Remains Above the Longer Ma Following an Upside Cross!
The Percentages (XX.XX%) Indicate the Average
Percentage Price Gain/Loss Following a Golden Cross,
Until the Shorter Ma Crosses Back Under the Longer Ma!
In This Example I Am Using a 63 Session Length for the
Shorter Ma for All Listed Ma Types for Closing Prices, and a 196 Candle Length for the Longer Ma!
RSI Failure Swings & AO DivergencesHello!
The script identifies RSI divergences, similar to other public scripts; however, RSI failure swings are also distinguished. When a failure swing is identified, the script calculates the highest RSI measurement (bottom failure swing) or the lowest RSI measurement (top failure swing) between the two RSI pivot points. A continually updating line is plotted at the "fail point" until it is penetrated for two sessions! In addition, the script displays the RSI fail point measurement. RSI bearish divergences are only distinguished when both RSI peaks form above 70. bullish divergences are only distinguished when both RSI troughs form below 30. Top failure swings require the initial RSI peak be above 70, the second RSI peak can form at any measurement. Bottom failure swings require the initial RSI trough be below 30, the second RSI trough can form at any measurement.
Included are Awesome Oscillator divergences. The indicator is a bit tricky; the oscillator does not incorporate an upper or lower extremity. Consequently, the script uses interpolated percentiles to characterize relatively high measurements and relatively low measurements. Bearish divergences that form within the 90th - 99th percentile are distinguished, and bullish divergences that form within the 1 - 10th percentile are distinguished. This can CERTAINLY be changed should you copy the source code and think of something better! For AO, white columns reflect a difference measurement >= 0; black bars reflect a difference measurement < 0
World Markets Open/Close BackgroundIndicator fills background color on the chart for different markets around the world.
This can be helpful in some markets to understand after hours and premarket price action. User can study if there is correlation between highs/low in whole session or open/close of different markets.
Tokyo, Hong Kong and Shanghai are Asian Markets in Red are combined
Bombay, London and NYSE are individually plotted.
Times can be changed for each session to include the entire session, or selected block of 15 minutes.
Less than 15 minutes will need to be changed in the default value of the code which is why I'm publishing it open source.
All coded default times for each market are in CST.
Background color can be turned off individually under the Style tab, and can also be unchecked under Inputs and can just be used for source for further coding.
My intentions for this script is to use it and its variable value to plot the highs and lows just in the specific times in a session and to more easily visualize those sessions with color coding.
I hope this is useful
Cheers!
interval_taA pine V5 library with several functions to handle time and sessions in trading.
Library "interval_ta"
bton()
tir()
nbs()
ismarket()
isclose()
dow()
tp1_timestamp()
datetime()
How Old Is this Bull Run Getting? Check MA Test Bars SinceThere are many price-based techniques for anticipating the end of a move. However, the simple passage of time can also help because bull markets don’t last forever. While old age doesn’t necessarily cause investors to sell, a reversal becomes more likely the longer a trend lasts.
So, how long have prices been going up? There are various ways to measure that. Our earlier script, MA streak , offered one solution by counting the number of bars that a given moving average has been rising or falling.
Today’s script takes a different approach by counting the number of candles since price touched or crossed a given moving average. It tracks the 50-day simple moving average (SMA) by default. It can be adjusted to other types like exponential and weighted with the AvgType input.
In the chart above, Bars Since MA Test was adjusted to use the 200-day SMA. Viewing the S&P 500 with this study helps put the current market into context.
We can see that prices last touched the 200-day SMA 386 sessions ago (June 29, 2020). That’s relatively long based on history, but not unprecedented. For example, the indicator was at 407 in February 2018 as the market pulled back. It also hit 475 in October 2014 (following the breakout above 2007 highs).
Additionally, the S&P 500 is nearing the record of the 1990s bull market (393 candles on July 12, 1996).
Before that, you have to look all the way back to the 1950s, when it twice peaked at 627.
The conclusion? The current run without a test of the 200-day SMA is above average, but not yet record-setting. It may be interesting to watch as earnings season approaches and the Federal Reserve looks to tighten monetary policy.
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Investing involves risks. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options, futures, or digital assets); therefore, you should not invest or risk money that you cannot afford to lose. Before trading any asset class, first read the relevant risk disclosure statements on the Important Documents page, found here: www.tradestation.com .
BABA 24/7 - Alibaba price chart all exchanges combinedThis script combines Alibaba stock price from NYSE, HKEX and XETRA (EU) exchanges into one chart. It handles currency and ADR conversions automatically and price is always shown in USD.
NOTE!! You must add the indicator in a chart that updates 24/7, such as EURUSD. If you use a chart that updates only during US session (such as BABA), HK/EU sessions will not be shown.
If you want to add indicators in the chart, hover your mouse over indicator title "BABA 24/7" in the upper left corner of the chart, select the rightmost button "..." that appears and then Add indicator/Strategy.
Intraday MAs for Regular/Extended SessionThis indicator will allow you to show multiple EMA/SMAs for different timeframes on your chart. In addition, it can show you indicators calculated from regular and extended sessions, independently of the session type you have selected for your chart.
MILK (My Intraday Lazy Kit)I made this script to group information considered useful in forex day trading, of course it can be used on crypto or other markets.
First of all, feel free to suggest any improvement/new feature you would consider interesting for such an use. This is not especially a final version and I'm sure other relevant information can be added in this tool.
Current features are the following
An international clock showing time and session status (open/closed) for 5 different cities. You can modify it in parameters.
Drawings of previous days/weeks open/high/low/close prices, which will be often used as supports and resistances zones.
The Clock shows
City
Time (with a bgcolor corresponding to the "period" of the day (Morning, Afternoon, Evening, Night)
Session status (Cyan when the corresponding session is open, blue when it's closed)
Price levels names are
YTD-H : Yesterday's high
YTD-L : Yesterday's low
YTD-C : Yesterday's close
YTD-O : Yesterday's open
PWH : Previous week high
PWL : Previous week low
PWO : Previous week open
PWC : Previous week close
Levels width and colors can be modified.
You can also enable/disable the clock, and daily or weekly levels in the options panel.
Nothing more to say for now, I mainly integrated information I like to have, but I'll probably add new features in it if I get some.
Opening Range Breakout Lines-nagaBased on Range breakout on opening sessions, you can change your opening according to your time . by default it set for London opens.
Adaptive Relative Strength (ARS by Premal Parekh)Dear All,
This is my first public script modified to adapt the concept of Mr. Premal Parekh on Adaptive Relative Strength - ARS)
The original Script is developed by modhelius.
I have proved the version as per my requirement and included concept of ARS.
This script will remove the manual calculation task which is required on daily basis to calculate number of sessions from ARS Date.
Hope this script will be helpful.
If yes, do hit like button and share with your friends.
Ashish Kesarkar
India
Trading sessions, Ichimoku and Classic Pivots█ OVERVIEW
This a self contained intraday trading style for crypto/forex made to be on and traded on 15-min.
This Script Creates a box around each major session to a trading range, include highlights for the first 12 15-min candles, classic Pivot points and ichimoku cloud.
█ CONCEPTS
1 — Session boxes and ranges are based of the times from Steve from Beat the market maker, and you have the option in setting to have an extension for the high/low until the start of the next box calculation.
2 — 12 candle window, this marks the first 3 hours after a open;
The first hour - stop hunt
The second hour - big moves
The third hour - tend continuation or reversal
3 — The Days of the weeks are labelled and coloured;
Weekends are in grey, ideally no trade days.
Monday, Tuesday, Thursday are green, to mark the week days
Wednesday is red to be mindful of mid week reversal
Friday is red to mark the end of week
4 — Ichimoku cloud, by default the only thing visible is the kumo cloud, but in setting you can turn the line back on. Ichimoku proves a great mark for areas to look for support and resistances.
5 — Lastly, you have classic pivots, by default they are extend to the right and on weekly, Each level act as support and resistance. Look for Bullish momentum at R3 for a larger moves to the upside.
Ichimoku and the pivot are here mainly for when you want to do higher time frame analysis.
█ OTHER SECTIONS
• HOW TO USE
Example of a trade
**Key thing to remember is London will set the high in a down trend and the low in an up trend
you can see the first hour look for stops and stopped at 50% of the range set coming into the session, the second hour a big move to the down side hitting 200% expansion then the third hour reversal stopping wick up then
back down from from London low. before continuing down.
• LIMITATIONS: I have not test this on Stock, as I have a different strategies for those market
• NOTES : I know a lot of people have moving averages on their chart, I have another separate one with all MA types, and it something that will not fit into one script, Other things you can add with this Bollinger bands, and
fib tool with 50%, 100%, 150% and 200%
Intraday Hourly VolumeEXPERIMENTAL:
shows the cumulative average volume at a hour of day, and the current volume (arrow point), current server hour will be marked in red label.
known issues: tickets with sessions, the labels may show red at end of session, or show more than 1 red label at a time...
Times and Gold Zonethis indicator is to see all the time sessions but you have another session that you can change the hour to only see the best volatility of the pair you want
Full Forex scalper StrategyTHis is a FOREX scalping system that can be optimized with almost all majors and crosses pairs.
Its made of multiple elements such as :
MACD
Stochastic RSI
Fast VW moving average
Slow VW moving average
Time management( forex sessions as inputs)
Rules for entry
Long
Last 2 MACD values were ascending, fast moving average is below moving average and stochastic RSI is below 30 level. At the same time we are either into London or NY session.
Short
Last 2 MACD values were descending, fast moving average is above moving average and stochastic RSI is above 70 level. At the same time we are either into London or NY
Rules for exit
WE have 2 exit possibilities: we can exit either at the end of NY/London Session or based on a TP/SL risk management calculating % in movement.
If you have any questions let me know !
ICT KillzonesThis Script plots the ICT Killzones in the Chart using a new Panel.
It's based on the Major Forex Sessions and this is usually where Key Swing Points occur.
It has a lookback of 20 days for Performance reasons.
CUSTOMISATION
- Time can be modified
- Lines width can be modified
- Lines colours can be modified
DEFAULT
By default the Killzones will be based on NY Time using the following order
- London Open: 02:00 to 05:00
- New York Open: 07:00 to 10:00
- London Close: 10:00 to 12:00
Example - Custom Defined Dual-State SessionThis script example aims to cover the following:
defining custom timeframe / session windows
gather a price range from the custom period ( high/low values )
create a secondary "holding" period through which to display the data collected from the initial session
simple method to shift times to re-align to preferred timezone
Articles and further reading:
www.investopedia.com - trading session
Reason for Study:
Educational purposes only.
Before considering writing this example I had seen multiple similar questions
asking how to go about creating custom timeframes or sessions, so it seemed
this might be a good topic to attempt to create a relatively generic example.
NYSE extended session backgroundThis script adds background to the chart to highlight different time areas in any chart.
The time areas are in relation to the open/close time of NYSE , both regular and extended session.
The background colors are the following by default:
NO COLOR : NYSE is open
DARK BLUE : NYSE is closed
LIGHT BLUE : NYSE post market session
ORANGE : NYSE pre market session
In addition, previous day close price line is shown during extended and closed sessions (orange line).
This script is useful to visualize any chart in relation to the NYSE timetable.
