Nick_OS RangesUNDERSTANDING THE SCRIPT:
TIMEFRAME RESOLUTION:
* You have the option to choose Daily , Weekly , or Monthly
LOOKBACK WINDOW:
* This number represents how far back you want the data to pull from
- Example: "250" would represent the past 250 Days, Weeks, or Months depending on what is selected in the Timeframe Resolution
RANGE 1 nth (Gray lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "30" would represent the range of the 30th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 2 nth (Blue lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "10" would represent the range of the 10th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 3 nth (Pink lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "3" would represent the range of the 3rd biggest day in the past 250 days. (If the Lookback Window is "250")
YELLOW LINES:
* The yellow lines are the average percentage move of the inputted number in the Lookback Window
SUGGESTED INPUTS:
FOR DAILY:
Lookback Window: 250
Range 1 nth: 30
Range 2 nth: 10
Range 3 nth: 3
FOR WEEKLY:
Lookback Window: 50
Range 1 nth: 10
Range 2 nth: 5
Range 3 nth: 2
FOR MONTHLY:
Lookback Window: 12
Range 1 nth: 3
Range 2 nth: 2
Range 3 nth: 1
TIMEFRAMES TO USE (If You Have TradingView Premium):
Daily: 5 minute timeframe and higher (15 minute timeframe and higher for Futures)
Weekly: 15 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
TIMEFRAMES TO USE (If You DO NOT Have TradingView Premium):
Daily: 15 minute timeframe and higher
Weekly: 30 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
IMPORTANT RELATED NOTE:
If you decide to use a higher Lookback Window, the ranges might be off and the timeframes listed above might not apply
ISSUES THAT MIGHT BE RESOLVED IN THE FUTURE
1. If it is a shortened week (No Monday or Friday), then the Weekly Ranges will show the same ranges as last week
2. Monthly ranges will change based on any timeframe used
Range
ATR Oscillator - Index (Average True range Oscillator)The purpose of converting the ATR value indicator to an oscillator;
It is known that the ATR value is not between the two specified values. So it is not compressed between 0 and 100 like RSI and %B etc. Therefore, conditions such as "A condition if ATR value is X, B condition if ATR value is Y" cannot be created. In order to create these conditions, the max and min value range of the ATR value must be determined. This indicator converts the ATR values into a percentage number according to the maximum and minimum ATR values in the period you will choose. Max value is 100, min value is 0. The considered ATR value, on the other hand, corresponds to the % of the difference between the max and min value in the selected period.
In this way, conditions such as "If the ATR Oscillator value is greater than 10 or 20 or 30" can now be created, or the value of another indicator can be calculated based on the ATR Oscillator value. For example; Let's say we want the standard deviation of BBand to change according to the value of the ATR Oscillator. If BBand Standard Deviation is 3 if ATRO value is 100, BBand Standard Deviation is 2 if ATRO value is 0, and BBand Standard Deviation is 2.5 when ATRO value is 50;
We can encode it as BBand_Std_Dev=((ATRO*0.01)+2 )
If the ATRO value is between .... and ...., you can make improvements such as plot color X.
Range Filter Buy and Sell 5min - guikroth versionRange Filter Buy and Sell 5min - the @guikroth version, republished.
Since this popular version of the Range Filter is no longer available via the original author, I republish it here under the same name.
This version remains true to the guikroth version from the calculations to the default settings and comments in the code, with the exception of an update to the latest version of PineScript, minor styling adjustments and the addition of an all-in-one 'buy or sell' alert option.
The guikroth version was a simplified modification of the original Range Filter by @DonovanWall .
Including having just 3 bar colours based on the filtered price trend, different source input options to the original, and the addition of buy and sell signals and alerts based upon the Range Filter colour change. It consisted of just three inputs; source, sampling period, and range multipler. With the update to version 5, external indicators can also be used as inputs, for example using a VWAP or EMA loaded on your chart as the input on the Range Filter is now also possible.
What is the Range Filter?
As the author of the original Range Filter describes it:
"This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI .
First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount.
Next, the filter is calculated by gating price movements that do not exceed the specified range.
Lastly the target ranges are plotted to display the prices that will trigger filter movement.
Custom bar colors are included. The color scheme is based on the filtered price trend."
Popularity of the Range Filter
The Range Filter is a very popular and effective indicator in its own right, with adjustments to the few simple settings it is possible to use the Range Filter for helping filter price movement, whether helping to determine trend direction or ranges, to timing breakout or even reversal entries. Its practical versatility makes it ideal for integrating it's signals into a variety of trading strategies or even other indicators.
With many thanks to the authors of the previous and original versions; @guikroth and @DonovanWall .
Trend Finder with Coefficient of VariationCoefficient of variation (“COV”) is a statistical measure used to describe the variability of values within a data set, it’s calculated by taking the standard deviation divided by the mean.
Traditionally, COV is applied to the expected returns of competing investment portfolios. A risk adverse investor prefers to accept a portfolio with a relatively lower COV value.
On the other hand, when applying COV to price charts, the difference is that instead of looking at expected returns, we now treat price as the source of data. We look at price from a moving average perspective. This script purely focuses on price.
What this indicator does:
Firstly, to go over the parameters:
Let ‘n’ be the lookback period for computing COV, and ‘m’ be the period for comparing the ranking of COVs.
Logics in a nutshell:
This program will (A) calculate the COV by dividing the moving standard deviation by moving average over ‘n’ bars, and then (B) illustrate the relationship of how COV at each bar ranks compared to COVs over past ‘m’ bars. We use a color scale (default black and yellow) for visualizing ranking in terms of percentiles. If COV is below its median value, then we assume that price is consolidating.
Hypothesis:
Using COV on top of regular SMA signals should reduce a lot of unwanted noise such as consecutive crossovers during ranging-periods. Traders want volatility, but not too much of it when sniping for entry opportunities (speaking of initial position; need to add to winning positions after, but this is for another topic). For this reason, the median value of COV is suitable as a metric for signals.
Applications:
We use the median value of COV to form a decision rule. A signal is generated when COV > median(COV,m), and the direction of trend is determined based on relative position of price with respect to sma(price,n). When the value of COV is increasing, it can also be thought of seeing Bollinger Bands beginning to bulge. When trends begin, this program will plot triangles to signify entry opportunities.
CAT Month Opening RangeA trading range which is formed during the first three trading day of any month sets an important "Month Opening Range".
The lowest price made during the first three trading days can be considered the Monthly Support level (see the green line drawn by the indicator).
The highest price made during the first three trading days can be considered the Monthly Resistance level (see the red line drawn by the indicator).
In an Up trending market price tends to break over the upper edge of the Month Opening Range and keep moving higher at the very least until the middle of that month.
In an Up trending market once price broke out of the Month Opening Range, the Monthly Resistance level tends to work as a support.
In a Down trending market price tends to break under the lower edge of the Month Opening Range and keep moving higher at the very least until the middle of that month.
In a Down trending market once price broke under the Month Opening Range, the Monthly Support level tends to work as a resistance
There are may ways to use that instrument:
(1) Trend Confirmation.
The first three days of a month tends to bring volatile trading. The market sets boundaries for the following four trading weeks.
Once the range has been set, swing traders may wait for the market to break out of the range and consider that direction of the prevailing trend direction.
(2) Short "Failed Breakout" setup
Quite often price breaks out of the Month Opening Range on the fourth or fifth trading day of a month but then drops back into the range.
That failed breakout quite often is followed by decline back down to the Month Support level (the lower edge of the Month Opening Range).
(3) Long "Failed Breakdown" setup
Quite often price breaks down under the Month Support on the fourth or fifth trading day of a month but then pops back up over the Monthly Support.
That failed breakdown quite often is followed by a rally targeting to retest the Monthly Resistance (the red line).
The indicator generates signals, trade set-ups and alerts that are for educational and hypothetical purposes only and shall not be considered trade recommendations.
Any signals or trading setups drawn by the indicator is not to be construed as an offer to sell or the solicitation of an offer to buy, nor is it to be construed as a recommendation to buy, hold or sell (short or otherwise) any security. All users of the indicator must determine for themselves what specific investments to make or not make and are urged to consult with their own independent financial advisors with respect to any investment decision.
Fixed Quantum VectorSelect a zone to analyse the vectors.
This screener show the ratio of the bullish and bearish candle vector and on volume.
Slide the white bar to choose your sample size or you can enter the date.
Click label to hide start calculation and end calculation.
- Happy trading
Visible RangeA quick and easy "at a glance" display for the viewable candles. It does repaint, but that is a non-issue, as it is simply a quick and handy tool to visually see a quick peek at the visible range.
The highest, lowest, and average are displayed, with labels for the percentage distance from the current close value and total range.
Automatic color for each based on relative distance for consistency in stable or volatile conditions.
RSI Objective LinesThe RSI is a contrarian indicator bounded between 0 and 100 where values close to the area of 30 represent an oversold condition and values close to the area of 70 represent an overbought condition.
Generally, we use the area of 70/75 and the area of 30/25 as extremes that signal a market reversal or a correction. But what if we calculate a simple way to make these levels more dynamic?
The main idea from these objective support and resistance levels is that market regime and dynamics move and as such fixed levels are unlikely to always provide value which means that we can try creating variable levels. The objective support and resistance levels are created following these steps:
* Calculate a 14-period RSI on the close price, let's call this RSI_Close.
* Calculate a 14-period RSI on the high price, let's call this RSI_High.
* Calculate a 14-period RSI on the low price, let's call this RSI_Low.
* Calculate the maximum range which is the highest value of RSI_High in the last 200 periods minus the lowest value of RSI_Low in the last 200 periods. Let's call this Max_Range
* Define the range width. By default, it is set to 5%. Let's call this Threshold.
* The objective support is calculated as the sum of the RSI_Low + (Max_Range * Threshold).
* The objective resistance is calculated as the sum of the RSI_High - (Max_Range * Threshold).
The levels are used in the same way as the oversold and overbought levels. They are more dynamic as they take into account the fluctuations of the RSI so you might see at some point in time a support at 20 and at another at 35.
ATR & APCAverage True Range (ATR) and Average Price Change (APC). Shows the ATR and APC as well as the TR and PC for the current bar, colour coded to indicate very large/small bars. The ATR and APC are also colour coded to reflect whether they are increasing or decreasing. Style will need to be customized.
Colorful Channelwhat is "Colorful Channel"?
it is a overbought - oversold indicator.
what it does?
It fills the area between the upper band of the channel and the price line with green, the area between the lower band of the channel and the price line with red color and applies a transparency to these colors according to the distance of the price from the channel lines. thus allowing users to get an idea of ??the current value of the price.
how it does it?
subtracts the percentage of the price from the lower channel from the transparency ratio of the red color, and the percentage of the price from the upper band from the transparency ratio of the green color. thus, a different transparency value is obtained for each percentile. In addition, the transparency rate can be changed with a multiplier determined by the users.
how to use it?
In the "lenght" section, you select the number of bars that the indicator will base backwards on. For example, if length=100, the indicator determines the upper and lower bands according to the distances from the highest and lowest values ??within 100 bar. so the length part works like donchian channels.
You can change the transparency ratio of the colors in the "transp" section.
1 saat transp
yan trend
4 saat
4C Expected Move (Weekly Options)This indicator plots the Expected Move (EM) calculated from weekly options pricing, for a quick visual reference.
The EM is the amount that a stock is predicted to increase or decrease from its current price, based on the current level of implied volatility.
This range can be viewed as support and resistance, or once price gets outside of the range, institutional hedging actions can accelerate the move in that direction.
The EM range is based on the Weekly close of the prior week.
It can be useful to know what the weekly EM range is for a stock to understand the probabilities of the overall distance, direction and volatility for the week.
To use this indicator you must have access to a broker with options data (not available on Tradingview).
Look at the stock's option chain and find the weekly expected move. You will have to do your own research to find where this information is displayed depending on your broker.
See screenshot example on the chart. This is the Thinkorswim platform's option chain, and the Implied Volatility % and the calculated EM is circled in red. Use the +- number in parentheses, NOT the % value.
Input that number into the indicator on a weekly basis, ideally on the weekend sometime after the cash market close on Friday, and before the Market open at the beginning of the trading week.
The indicator must be manually updated each week.
It will automatically start over at the beginning of the week.
Sw1tchFX - Average Daily RangeDESCRIPTION AND OVERVIEW
The Average Daily Range is a measure of volatility (typically across 5 days for the FX markets). I originally saw this being used in a trading system called ANTSSYS by Daryll Guppy and some other developers. I couldn't find it anywhere so I decided to build it from scratch.
What this does is allow you to measure volatility across various FX assets (I will apply other asset classes in the future that this is applicable to i.e. Crypto, Commodities, Blue Chip Stocks), and set realistic targets based off that volatility. Overall, this makes much more sense to me in the FX markets rather than support and resistance lines because it's based off the actual movement of the asset class. Market research shows that an asset class has a 80-85% chance to reach 75% of it's Average Daily Range (ADR).
Let's take a look at the daily ADR on the GBPNZD 15m chart. Notice how the values of the ADR act as real support and resistance based off the volatility of the asset. In this case, price did not quite reach the 75% ADR target.
Let's take a look at another example on EURNZD 15m chart. In this case, price hit the 75% target.
It's important to note that these levels do not bound the price. The probability that price exceeds it's 75% ADR is fairly low, but not impossible. Especially during important news events. Let's look at the recent USDCHF 15m chart for example.
Additionally, you can use these values to measure longer term movements (Weekly, and Monthly)
Here is a weekly view:
And a monthly view:
HOW I USE THIS
I use this in conjunction with some other indicators I've developed. Typically, I use range bars since I only care about price, not time. Additionally, averages are smoother when time is not taken into account and only price.
HOW THE CANDLE OPEN AND CLOSE IS CALCULATED
This is done based off of your own specific time zone and from the daily candle. So for me on PST, the daily candle will close at 1400. Once closed, a new ADR value is automatically calculated and added to the chart. There is an option to show past ADR values if you would like to see them or conduct additional research.
REVE MarkersREVE stands for ‘Range Extensions Volume Expansions’. It seeks to report the same as the REVE which I published before. However the code uses a different algorithm to find the ‘usual range’ or ‘usual volume’ to which the current range and volume is compared. In the old REVE a function is coded which mimics a median() function..
In this code the median() function provided in pinescript is used, which makes the code of the actual algorithm nice and short in lines 21 through 27
For example line 23: “morevol=ta.median(curvol , usual)*eventnorm” in which
‘morevol ‘ is the calculated level above which the volume is deemed considerable,
‘curvol’ is the current volume (see line 21); curvol the volume of the previous period.
‘usual’ is the lookback period (see line 8)
‘ta.median(curvol , usual)’ is therfore the median volume in the lookback period
‘eventnorm’ is the percent which sets when “normal” becomes “considerable” (see line 6)
In line 26 the same is done for range.
The code in lines 30 to 92, concern logic manipulations to arrive at choosing the appropriate marker, which are plotted in lines 95 through 136.
Using the shapes as provided by Pinescript offers the possibility to give a much better and more meaningful visualization of volume and range events than different colored columns and histograms in the ‘old’ REVE in the below panel (see example chart).
Using the Pinescript function to find the median opens the possibility of letting the user play in the inputs with the lookback period and the norms for considerable and excessive to find a setting he or she likes most.
Using median in stead of average is necessary in volume and range analysis because these are so volatile. E.g. range or volume can be 10 times larger in the next period! If you have a few excessive volumes or ranges in the lookback period the ‘average volume or range’ is much higher than the ‘usual volume or range’ In statistics this is referred to as the outlier problem.
The markers are located on the bottom of the instrument pane. Those indicating volume events (with ‘event’ I mean a considerable or excessive expansion or extension) are colored triangles or squares, triangles indicate direction, squares that the price stays the same. those indicating range events with ‘normal’ volume are crosses, plus-cross means considerable range event and x-cross is excessive event.
The red, fuchsia and maroon triangles and squares indicate a combination of volume and range events. I call this ‘effective volume’ because more trade leads to shifting prices. The green and blue triangles and squares indicate a volume event with ‘normal’ ranges. I call this ‘ineffective volume’ because more volume does not lead to price shits. Effective volume can be attributed to occasional traders, because these do not care much for the price effect of their orders. The ineffective volume is attributable to institutional traders, because these go to great length to hide the size of their selling or buying objective by trading many small amounts in a day. Therefore one can theorize that ‘smart money’ is active when green and blue markers show up.
There is an option in the inputs to show markers around the candles (or bars). Those above indicate volume events, plus-cross for considerable and x-cross for excessive volume.
Those below the candles (or bars) indicate range events, triangles for direction or a plus-cross when the price stays the same. The small ones indicate considerable range events and the big ones excessive range events. This option can be used for better understanding of the colors of the bottom markers or to check which marker applies to which candle or bar.
If the instrument is without volume, the indicator will show only range markers.
Have fun and take care.
Change of VolatilityOVERVIEW
The Change of Volatility indicator is a technical indicator that gauges the amount of volatility currently present in the market. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending/consolidating conditions.
CONCEPTS
This indicator assists traders in capitalizing on the assumption that trends are more likely to start during periods of high volatility compared to periods of low volatility . This is because high volatility indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move.
So, to determine whether the current volatility in the market is low, the indicator will grey out all the areas on the chart whose short term standard deviation of volatility is lower than the long term standard deviation of volatility.
If the short term standard deviation of volatility is above the long term standard deviation of volatility, the current volatility in the market is considered high. This would the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high-volatility periods.
HOW DO I READ THIS INDICATOR
When the histogram is grey, don't take any trend trades since the current volatility is less than the usual volatility experienced in the market.
When the histogram is green, take all valid with-trend trades since the current volatility is greater than the usual volatility experienced in the market.
Opening Range with Infinite Price TargetsOpening Range with Infinite Price Targets is an ORB indicator that automatically generates price targets into infinity based on a user-defined % of range.
This indicator includes many nice-to-have features missing from other indicators. Such as:
Price Target Labels with Price tooltip, want to know exactly what price pt3 is at? Hover over it and see.
Custom Defined Range time, Set your Range Start and end time to whatever you need, Doesn't have to be pinned to opening range!. Note: Time is in chart time.
Historical View (Default off), Tired of your chart looking messy with a ton of lines from historical data? No problem! You can choose to view or not view historical data.
Alerts for Range Breaks, First Range Breaks, and Discovery Price Target hits. As well as Exported Values for Range High, Low, and Mean to set your own alerts from custom sources.
Custom Price Targets, set your price targets to a % of the range based on your own strategy.
Last but not Least, Infinitely Generating Price Targets. They just keep building. New Targets will be generated when the price closes above/below the current farthest target.
Enjoy!
ATR+ Advanced Sessions ATR for DaterangeATR+ Advanced Sessions ATR for Daterange
The ATR+ adds the following additional filters to the stock ATR indicator by Tradingview:
- Calculates the overall average ATR for a user defined daterange, optionally filtered by trading session and selected weekdays, presented as a secondary line over the standard ATR line.
- Basic ATR line, with colour highlight to indicate the selected sessions, days and timeframe being calculated by the average ATR+ line.
- Average ATR+ line indicating the average of all ATRs within the defined timeframe, optionally filtered by instances of a selected trading session and selected weekdays.
- Customisable appearance.
- The ATR+ also includes the basic ATR configuration options typically found in the standard ATR by Tradingview, including period length and smoothing type. Defaults are set to the factory standards: 14 length, RMA smoothing type.
What Is the Average True Range (ATR)?
The ATR is a technical analysis tool that measures market volatility by decomposing the entire range asset price for that period. Investopedia describes the ATR as follows:
"The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges."
For more information on the ATR and its calculations and use cases, see here:
Investopedia link here.
Tradingview link here.
Note
The indicator may time out if the number of bars being calculated is too long. If this happens, you will need to reduce the datetime range, or increase the chart timeframe in order to reduce the number of bars being calculated and the indicator will attempt to recalculate.
Relative Bi-Directional Volatility RangeThe basic math behind this Indicator is very similar to the math behind the Relative Strength Index without using a standard deviation as used for the Relative Volatility Index. The Volatility Range is calculated by utilizing the highs and lows. However not in the same way as in the Relative Volatility Index. This approach leads to different values, but the overall result clearly reveals the intrinsic Volatility of the chart, so the user can be aware, when something fundamentally is going on behind the scenes. If the Volatility rises on positive and negative range (-100 to 100) it implies that something fundamental is changing.
An advantage of using this kind of calculation is the possibility of separating the data into positive (buy pressure) and negative (sell pressure) components. The bi-directional character shows a slightly overhang in one of the directions, which can be used to detect a trend. A Moving Average of the users choice shell smoothen the overhang of the Relative Bi-Directional Volatility and show a trend direction. Similar to the math of the Relative Strength Index as standard a Relative Moving Average is preferred. If the Moving Average is in the positive range (0 to 100) it indicates a bullish trend, else if the Moving Average is in the negative range (0 to -100) it indicates a bearish trend. External Indicators can use a provided Trend Shift Signal which switches from 0 to 1, if the trend becomes bullish or from 0 to -1, if the trend becomes bearish.
The user should know, that in this Indicator the starting point of the Moving Averages always begins at the first bar, because the starting progress is approximated appropriately. Most Moving Averages require a minimum number of bars to be calculated, which is chosen with the Moving Average Length. In this cases the length used will be automatically reduced in the background until the number of bars is sufficient to match the chosen length. So if data history is very short, the Indicator can be used never the less as good as possible.
It is feasible to switch the Indicator on a higher timeframe, while staying in a lower timeframe on the chart. This can be useful for making the indication cleaner, if the Moving Average is to choppy and shows too many false signals. On the other hand the benefit of a higher timeframe (or a higher Moving Average Length) is paid with higher latency of the signaling. So the user has to decide what the best setting in his case is.
This Indicator can be used with all kinds of charts. Even charts with percentage or negative values should work fine.
RF+ Replay for Heikin AshiRF+ Replay for Heikin Ashi
RF+ Replay for Heikin Ashi generates fully customisable Heikin Ashi candlesticks presented on a standard chart, enabling traders to utilise the Tradingview Replay feature with Heikin Ashi candlesticks when analysing and backtesting HA style strategies.
The features of this indicator include:
- Fully customisable Heikin Ashi Candles, including custom colour options for candle bodies, borders and wicks.
- Optional real-time, real-price close dots painted onto each candlestick.
- A optional set of 2 x Range Filters designed to indicate short term trend identification upon color change, ideal for low timeframe scalping.
- A optional set of 3 x fully customisable Moving Averages.
- An option to enable Heikin Ashi calculated data for the Range Filters and Moving Averages, so they present as they would on a Heikin Ashi non-standard chart type, without having to use an actual Heikin Ashi chart. Enabled by default.
- An optional sessions indicator, to highlight your prefered trading session for the purpose of backtesting.
- An optional watermark featuring customisable text and well as symbol and timeframe information, as seen in the screenshot of this indicator.
Instructions for use:
1) Because this indicator generates candlesticks and presents them onto your chart, you will need to hide the existing candlesticks so you do not see two sets of candles. You can do this by going into your Tradingview chart settings and making the candle bodies, borders and wicks fully transparent. You can then save this as a layout template. You can access your Chart Settings by clicking on the cog icon, or by right clicking on the chart itself and selecting 'Chart Settings' from the list.
2) Ensure you have the standard chart type selected - you do not need to select a Heikin Ashi type chart.
3) You will now be able to analyise and even backtest your Heikin Ashi style strategies including the use of the Tradingview Replay feature found at the top of the chart.
Heikin Ashi means 'average bar' in Japanese, which speaks to the fact that Heikin Ashi candles are calculated differently to standard Japanese candlesticks. The general idea of Heikin Ashi candles is to 'smooth' the appearance of price movement, by the use of averages within their calculation. It is important to understand that the Open and Close values of a Heikin Ashi candlestick do not reflect real Open and Close prices. You can use the real price dots feature to clearly see the real time and real price Close of each candle.
The formula for calculating a Heikin Ashi candlestick is as follows:
High = Maximum of High, Open, or Close (whichever is highest)
Low = Minimum of Low, Open, or Close (whichever is lowest)
Open = Open (previous bar) + Close (previous bar) /2
Close = (Open + High + Low + Close) / 4
If you found this useful, be sure to leave a like, comment and subscribe to show your support.
Until next time.
Trading range display with BoxThis script is just for reference to see the trading range.
Do not use this strategy logic, it is just Test strategy.
The trading range is colored depending on whether it is profitable or not.
You can change the color if you want.
When you declare the strategy, put (process_orders_on_close=true,calc_on_every_tick=true, max_boxes_count=500) in your script.
Then it can show you current open trading as well.
If you use switching strategy (e.g longposition to shortposition right away), it may not show you the range properly.
In that case, reduse the test period.
IT IS Repainting Reference.
If you want to see your strategy result visually,
Just copy and paste from line 22 in my script.
Good Luck everyone.
전략 거래 기간 동안을 보여주는 지표입니다.
이 지표에 쓰인 전략은 단순 테스트용 입니다. 절대 사용하지 마세요.
각 거래기간은 수익이냐 아니냐에 따라 색깔이 정해 집니다.
색깔은 여러분이 변경하실 수 있습니다.
전략을 선언부에 process_orders_on_close=true,calc_on_every_tick=true, max_boxes_count=500 을 넣으시면 현재 오픈 거래도 보실 수 있습니다.
스위칭 전략(롱에서 숏으로 바로 전환하는 전략)을 쓰시는 분들은 아마 테스트 기간을 줄이라는 경고를 받으실 수 있습니다.
이 지표는 리페이팅이 될 수 있습니다.
전략 결과를 눈으로 보고 싶으신 분들은 22번째 줄 부터 카피하시면 됩니다.
행운이 있길..
---strategy set---
default_qty_value=10
commission_value=0.04
slippage=2
Keltner Channel Volatility FilterOVERVIEW
The Keltner Channel Volatility Filter indicator is a technical indicator that gauges the amount of volatility currently present in the market. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending/consolidating conditions.
CONCEPTS
This indicator assists traders in capitalizing on the assumption that trends are more likely to start during periods of high volatility compared to periods of low volatility . This is because high volatility indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move.
So, to determine whether the current volatility in the market is low, the KCVF will grey out all bars whose average price is within the Keltner Channels.
If the average price breaks out of the Keltner Channels , it is reasonable to assume we are in a high-volatility period. Thus, this is the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high-volatility periods.
HOW DO I READ THIS INDICATOR
When the candles are greyed out, don't take any trend trades since the current volatility is less than the usual volatility experienced in the market.
When the candles aren't greyed out, take all valid with-trend trades since the current volatility is greater than the usual volatility experienced in the market.
Normalized VolatilityOVERVIEW
The Normalized Volatility indicator is a technical indicator that gauges the amount of volatility currently present in the market, relative to the average volatility in the market. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending/consolidating conditions.
CONCEPTS
This indicator assists traders in capitalizing on the assumption that trends are more likely to start during periods of high volatility compared to periods of low volatility. This is because high volatility indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move.
So, to determine whether the current volatility is "high", it is compared to an average volatility for however number of candles back the user specifies.
If the current volatility is greater than the average volatility, it is reasonable to assume we are in a high-volatility period. Thus, this is the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high-volatility periods.
HOW DO I READ THIS INDICATOR
When the column's color is red, don't take any trend trades since the current volatility is less than the average volatility experienced in the market.
When the column's color is green, take all valid with-trend trades since the current volatility is greater than the average volatility experienced in the market.
Normalized VolumeOVERVIEW
The Normalized Volume indicator is a technical indicator that gauges the amount of volume currently present in the market, relative to the average volume in the market. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending/consolidating conditions.
CONCEPTS
This indicator assists traders in capitalizing on the assumption that trends are more likely to start during periods of high volume compared to periods of low volume. This is because high volume indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move.
So, to determine whether the current volume is "high", it is compared to an average volume for however number of candles back the user specifies.
If the current volume is greater than the average volume, it is reasonable to assume we are in a high-volume period. Thus, this is the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high-volume periods.
More information on this indicator can be found on NNFX's video on it in his Indicator Profile series and on Stonehill Forex's blog post on it .
HOW DO I READ THIS INDICATOR
When the column's color is red, don't take any trend trades since the current volume is less than the average volume experienced in the market.
When the column's color is green, take all valid with-trend trades since the current volume is greater than the average volume experienced in the market.
Michigandolf's 30min Opening Range (w/Extensions)See previous version for explanation of the 30min Opening Range:
This new version is for users that prefer to see the Opening Range Extensions.
The extensions are based on the distance from the Opening Range High to the Mid Point (or Low to the Mid Point).
