Indicator
VWAP & Previous VWAP - MTF█ Volume Weighted Average Price & Previous Volume Weighted Average Price - Multi Timeframe
This script can display the daily, weekly, monthly, quarterly, yearly and rolling VWAP but also the previous ones.
█ Volume Weighted Average Price (VWAP)
The VWAP is a technical analysis tool used to measure the average price weighted by volume.
VWAP is typically used with intraday charts as a way to determine the general direction of intraday prices.
VWAP is similar to a moving average in that when price is above VWAP, prices are rising and when price is below VWAP, prices are falling.
VWAP is primarily used by technical analysts to identify market trends.
█ Rolling VWAP
The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day.
Such VWAPs cannot be used on daily, weekly or monthly charts. Instead, this rolling VWAP uses a time period that automatically adjusts to the chart's timeframe.
You can thus use the rolling VWAP on any chart that includes volume information in its data feed.
Because the rolling VWAP uses a moving window, it does not exhibit the jumpiness of VWAP plots that reset.
For the version with standard deviation bands.
MTF VWAP & StDev Bands
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Yearly Monthly Vertical Lines [MsF]This indicator that draws vertical lines for each year and month starting from the specified date and time.
For example, starting from August 26th, 2022,
The annual vertical lines are Aug 26th, 2022, Aug 26th, 2021, Aug 26th, 2020, Aug 26th, 2019, Aug 26th, 2018, Aug 26th, 2017...
It is useful to check the action of the chart at the event of each year and month.
Caution:
Since there is a limit to the Bar-Count that can be specified in the script language, depending on the chart period setting It may not be displayed.
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指定した日時を起点として、年、月ごとに垂直線（縦線）を描画するインジケータです。
例えば、2022/9/1を起点とした場合、
年次のラインは、2021/9/1、2020/9/1、2019/9/1、2018/9/1、2017/9/1、2016/9/1...
に描画します。
年、月ごとのイベント時のチャートの動きを確認するのに便利です。
※過去イベント時の価格変動確認の際、手作業で垂直線を引くのが面倒なため、作成しました。
＜注意＞
スクリプト言語で指定できるBarCntに制限がある為、チャートの期間設定によっては
表示されない場合があります。※今後改善の余地あり Indicator
All-In-One Sessions, Weekly, Monday, Previous Highs/LowsWe are forever drawing key levels on our charts with saved drawing templates, but finding the levels, adding the labels, is all tedious stuff. We have indicators, but we have multiple different ones at a time.
What if you could just tick a box on/off?
Well now you can.
This all in one 'levels' indicator is designed to show all the key highs and lows from previous weeks, Monday, the current week, as well as an option to highlight the market sessions and their highs and lows.
There are lots of options available for extending lines and choosing their colors, so once you have set it up how you want, don't forget to save YOUR defaults.
Oorah. Indicator
Bias AnalyzerName: Bias Analyzer
Category: Market Analyzer
Timeframe: 1H and 1D, depending on the Analysis type.
Technical Analysis: Usually when we think about a Trading System we start from an idea. This idea comes normally from observation and the study of the market.
Have we ever observed a market - for example Bitcoin - and thought that it increases at the start of a USA session? Great, this is a well-known category of Trading System and the purpose of the Bias Analyzer is to study these phenomena.
There are different types of Trading System that we can classify considering the market in-efficiency that we use to our advantage. In this case we make the Bias. Literally "inclination" or "presupposition" or precisely "tendency" of the price to go up or down in a temporal way.
The characteristics of the Bias depend on how much the Bias is persistent on the market since the analysed period. therefore we can consider:
Hourly Bias : analysing the hourly behaviours during the week. Trades normally last from a few hours to a few days.
Seasonal Bias : analysing the behaviour of the weeks in the monthly or annual context, evaluating the seasons.
Suggested usage: The possibilities of the tool are infinite, these are some scenarios of use:
Development of Intraday Trading Systems based on Hourly Bias with possible filters for specific days of the week.
Development of a Multi-day Trading System based on daily Bias with monthly analysis.
To identify the best day to execute our investment through Dollar Cost Average with a bit of healthy buy the dip
Main features:
Hourly Summary organized in Week
The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week.
Hourly Details organized in different entry/exit
Shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours.
Daily Summary organized in Months
The cells contain the summation of the various price deltas for the single day.
Hourly Details organized in different entry/exit
Allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days.
Configuration: You can configure the tool easily and completely.
Analysis
Calculate from Close to Open : this is the core of the whole analysis where the "Price Delta" to be calculated is defined. At this moment there is the possibility to calculate the distance between opening and closing.
Calculate in Percent or Cash : this allows to calculate the Price Delta in Percent or in Cash.
Analysis on 1H Timeframe
Show Hourly Summary on : allows to visualise the summary analysis table of the week. The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week. At the bottom left there is also data which allows us to understand how many candles are being analysed. At the bottom of each day it is possible to visualise the cumulative data of the day. The position of the table is customizable.
Show Hourly Details of on : allows to visualise the detailed analysis table, choosing to do it for all days or for a specific day, and shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours. For example, going to the table "All Days" we can see in the cell of row 13 and in column 22 the cumulative data of a possible buy on 13 and a sell at the end of 22. To facilitate the research of the values there is a configurable transparency system.
Analysis on 1D Timeframe
Show Daily Summary on : allows to visualise the summary analysis table of the month. The cells contain the summation of the various price deltas for the single day: The first row is the summation of all days of the month for all months in the analysis period, while the other rows represent the analysis for the various days of the individual months.
Show Daily Details of on : allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days. In the rows are represented the buying days and in the columns the selling days. For example, going to the table "All Months" we can see in the cell at row 1 and at column 3 the cumulative of a possible purchase on the 1st and the sale on the 3rd. To facilitate the research of the values, there is a configurable transparency system.
Table Layout
Size : allows to define the size of the text in the table.
Precision : it is possible to define the decimal precision of the calculations presented in the tables.
Transparency Factor : allows the application of a multiplication factor when the table calculates the transparency of detail tables.
Colours : allows to specify the colours of Profit, Loss and Neutral, besides to adapt a style coherent with the Dark Mode or Light Mode of Trading View
Volatility Filter
It is possible to directly apply a filter to the time series on which the delta is calculated. The volatility filter uses the ATR - an indicator that allows you to calculate the volatility in a given period. Briefly: the higher the ATR value, the higher the volatility. Therefore the filter works by comparing the volatility on two periods and indicates compression or expansion.
Backtest Dates
In order to facilitate the identification of in-sample and out-of-sample data, as well as the degradation of a given behaviour, it is possible to specify a period in which to do the analysis.
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High/Low/Open/Close Daily, Weekly, Monthly Line
I wrote this for the purpose of saving time while marking up charts by automating the process of drawing and labeling lines at areas of interest on larger
timeframes while still having the option to change the style and size of the lines and labels to adjust for any timeframe and avoid a messy chart.
I also used this as an exercise in menu organization giving users every imaginable option and producing clean readable code.
- This indicator draws a line on the Daily, Weekly, and Monthly bar at the High, Low, Open and Close of each bar as price
tends to react when revisiting these areas.
- Each set of bars has an optional identifying label with its own color set that can be shown with or without the lines
price value, and has drop down menus for size and style of each set of labels.
- Each set of lines has inputs for line/text color, line width and style, and can be hidden if the user doesn't have the need for any particular timeframe.
- Lines and Labels with delete when a new line is created.
- I recommend going into Chart Settings/Status Line and turning off indicator arguments OR moving the script to the top
of the indicator list to avoid an obstructed chart view with this indicators arguments. When Pine allows, I will update it to hide them.
Contains some public domain code from T.V. manuals and tutorial for creating drop down input menus for options.
/ ~For My Pal Jittery~
~ Who likes his clean chart and custom colors~ Indicator
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Weekly Volume HeatmapThis tool is designed to visualize how the trading volume of each asset changes during the week.
How to use
This tool can help us better understand the market and answer many questions, such as:
◽ How to avoid getting stop hunted?
Typically, trading volume decreases at certain times of the week, which is the best time for large holders to manipulate the market. Low volume means there is less liquidity in the market. Large transactions in an illiquid market can cause large price changes.
Large holders (whales) have enough capital to push the price in the desired direction to trigger a cascade of stop-loss orders which can move the price further.
After a stop hunt, the market typically reverses, leaving stop hunted traders behind.
It is best to avoid using stop-loss orders and leveraged trading during these hours of the week.
◽ When’s the best time to make decisions
During some hours of the week the trading volume usually decreases; at these times, most traders are inactive and do not participate in transactions.
Therefore, the price changes that occur during these times lack conviction.
It is better to make decisions when there are more active traders in the market. At these periods, a relatively high trading volume is usually observed.
How it works
First, it calculates the average traded volume of each period (for example Monday 9:00 AM) from the first bar to the last bar. It then calculates the ratio of the average traded volume in each period to the average traded volume per week. Finally, the result is displayed as a percentage in each cell.
Different values are distinguished by different background colors. Light colors are used for low values and dark colors are used for high values.
Limits
It only works in the 1 hour time frame.
Samples
Stock => AAPL
Futures => ES1!
Forex => EURUSD
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High Low Open Mid Ranges & Levels (Multi-Timeframe)This indicator automatically plots the chosen timeframe's high, low, mid point and open. These levels on higher timeframes act as support and resistance levels on lower timeframes, helping find entries, stoploss and profit targets.
Most common timeframes to choose are Daily, 1W, 1M, and 3M. Other timeframes that are good include, 2D, 2W and 2M.
For example, you can see in the snapshot below, we are on the 4hr TF showing those levels from the 2W. This historical 2W zone (open and mid) was (and currently still is) resistance. You can see it also provided a good entry to go short.
This is also useful for intraday scalping. Below, we are on the 15min TF with levels set on the 2D timeframe. You can see how the Open and Mid levels acted as resistance, providing good entries on range trades, with take profit set at the previous 2D low.
There is also a table which tells you all the main TFs high, low, open, and mid levels. They are the most important ones to look out for.
This indicator should not be used in isolation; it is best to pair it up with other TA such as orderblocks, S/D zones, S&R or overlay indicators. Indicator
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DAYOFWEEK performance1 -Objective
"What is the ''best'' day to trade .. Monday, Tuesday...."
This script aims to determine if there are different results depending on the day of the week.
The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week.
1 - Objective
2 - Features
3 - How to use (Examples)
4 - Inputs
5 - Limitations
6 - Notes
7 - Final Tooughs
2 - Features
AVG OPEN-CLOSE
Calculate de Percentage change from day open to close
Green % (O-C)
Percentage of days green (open to close)
Average Change
Absolute day change (O-C)
AVG PrevD. Close-Close
Percentage change from the previous day close to the day of the week close
(Example: Monday (C-C) = Friday Close to Monday close
Tuesday (C-C) = Monday C. to Tuesday C.
Green % (C1-C)
Percentage of days green (open to close)
AVG Volume
Day of the week Average Volume
Notes:
*Mon(Nº) - Nº = Number days is currently calculated
Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays).
3 - How to use (Examples)
For the following example, NASDAQ:AAPL from 1 Jan 21 to 1 Jul 21 the results are following.
The highest probability of a Close being higher than the Open is Monday with 52.17 % and the Lowest Tuesday with 38.46 %. Meaning that there's a higher chance (for NASDAQ:AAPL ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21%
Long - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher
Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower)
Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example ( NASDAQ:AAPL ) to NYSE:GM (same settings)
For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability.
With an average gain of 0.59% on Friday and an average loss of -0.34%
Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example COINBASE:BTCUSD
4 - Inputs
DATE RANGE
Initial Date - Date from which the script will start the calculation.
End Date - Date to which the script will calculate.
TABLE SETTINGS
Text Color - Color of the displayed text
Cell Color - Background color of table cells
Header Color - Color of the column and row names
Table Location - Change the position where the table is located.
Table Size - Changes text size and by consequence the size of the table
5 - LIMITATIONS
The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time.
As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit.
Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe:
6 - Notes and Disclosers
The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane
The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks.
The values displayed represent previous data and at no point is guaranteed future values
7 - Final Tooughs
This script was quite fun to work on since it analysis behavioral patterns (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open.
PS: If you find any mistake ex: code/misspelling please comment.
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