Ignition Cha Cha ChaIgnition Cha Cha Cha (ICCC) is a 3 color coded moving average indicator which numerically quantify the angle of their trends. I have labeled them as fast, medium and slow. The trend colors are Green for bullish, Red for bearish and Grey for sideways. The sideways movement can be user defined for all 3 in the settings under Threshold. If you regard for example anything under 10º as sideways then place 10 in the corresponding threshold and any angle under 10º will give a grey moving average and a grey labeled text. I use this chart in several ways. If you don't want moving averages all over your Chartistic Masterpiece you can turn off the plots and leave the numeric angles which will give you an overview of the trend. Conversely if you want to make the ultimate trend chart you can setup a 4 chart layout, Weekly, Daily, 12 hour and 4 hour and add the indicator with 200/50/25 moving averages and look for confluence. I find the best way for this is turn off the candles and use the moving averages with the numeric labels. You also have the ability to turn off and on different aspects of the indicator so that there is good control over its look. Also I have given the indicator lots of Alert presets for all 3 of the moving averages so you can avoid demented screen-stairing. Please forgive the name, my mother made me do Ballroom dancing lessons as a kid.
Average
Average Cost (Costo Promedio)ENGLISH
This 'Average Cost' script allows the user to input and visualize profit or loss for different stocks (up to 50) with average cost and quantity data on a single chart. This is useful for tracking the profit or loss of each stock in real-time.
To use this script, the user should follow these steps:
1. Add the 'Average Cost' script to your TradingView chart.
2. In the script's configuration window, input the tickers, average costs, and quantity of shares for each ticker you want to monitor.
3. Click 'Accept' to apply the changes.
This script is primarily designed for stock markets, but can also be useful in other financial markets where the user is interested in tracking the performance of multiple assets.
ESPAÑOL
Este script de "Costo Promedio" permite al usuario ingresar y visualizar si hay ganancia o perdida para diferentes acciones (hasta 50) con los datos de costos promedio y cantidad de acciones en un solo gráfico. Esto es útil para realizar un seguimiento de la ganancia o pérdida de cada acción en tiempo real.
Para utilizar este script, el usuario debe seguir estos pasos:
1. Agregue el script "Costo Promedio" a su gráfico en TradingView.
2. En la ventana de configuración del script, ingrese los tickers, costos promedio y cantidad de acciones para cada ticker que desee monitorear.
3. Haga clic en "Aceptar" para aplicar los cambios.
Este script está diseñado principalmente para los mercados de acciones, pero también puede ser útil en otros mercados financieros donde el usuario esté interesado en rastrear el rendimiento de múltiples activos.
Volume+This volume indicator uses a long WMA to establish an average volume and calculates the standard deviation based on that average. Each deviation level from 1 to 3 is also plotted with the bar color gradually increasing in intensity when more than one standard deviation is exceeded.
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.
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
Fibonacci Step IndicatorThe Fibonacci Step Indicator assumes irregularity in calculating a moving average. It is measured as the mean of the previous lows and highs situated at Fibonacci past periods. For example, the mean of the lows from 2, 3, 5, 8, etc. periods ago form the Fibonacci step indicator.
The indicator uses the formula for the first twelve Fibonacci numbers on highs and lows so that it creates a moving support/resistance zone. Afterwards, the zone is stabilized by taking the highest highs of the upper indicator and the lowest lows of the lower indicator part.
The indicator is used as a trend following way. It can be compared to the Ichimoku Kinko Hyo cloud (without the future projection). The zone form a support and resistance area. During ranging periods, the market will fluctuate within the area which is a bad time to follow the trend (if any).
Strategy Myth-Busting #4 - LSMA+HULL Crossover - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our fourth one we are automating is one of the strategies from "I Found The Best 1 Minute Scalping Strategy That Actually Works! ( Beginner Friendly )" from "Trade Domination" who claims to have made 366% profit on the 1 min chart of Solona despite having a 31% win rate in just a few weeks. As you can see from the backtest results below, I was unable to substantiate anything close to that that claim on the same symbol ( SOLUSD ), timeframe (1m) with identical instrument settings that "Trade Domination" was demonstrating with. Strategy Busted.
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 2 open-source public indicators:
LSMA
Hull Suite by InSilico
Trading Rules
1 min candles
Stop Loss on recent swing High/Low
1:5 Risk Ratio
Enter Long
LSMA cross above Red Hull Suite line
Price has to be above Hull Suite Line
Enter Short
LSMA crosses under green Hull Suite Line
Price has to be below Hull Suite Line
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.
SMMA slope deviation alertThis indicator alerts when the deviation of close value from SMMA is more than 30% of the average deviation for the last 14 bars. The period of SMMA can be adjusted.
This indicator has 3 hardcoded timeframes so there is almost no sense what timeframe you use. It gathers data from 15m, 1H and 4H timeframes and combines then on one chart.
The markers are drawn one over another, for example, if you set 1H timeframe on you chart green markers from 15m can be placed under the same 1h-candle where the blue one lights on 1H. The algo is made to lower the risks of traders, so if you use 15m timeframe you will see green marker but if you use 1H you will see the blue marker on 1H (and don't see the green one because the blue is over the green). This is somewhat a "hardcoded scalp screener". You can "zoom in" and "zoom out" the row of markers by toggling between 15m and 1H and 4H but conditions for the signals are the same.
Black and blue markers light when the price is too far from the SMMA . "Too far" means that deviation is greater than the average deviation (for 14 bars) multiplied by 1.3.
Red and green markers light when besides the condition mentioned above, the price change is accelarating. Acceleration is considered in terms of the speed of running from SMMA . if SMMA was crossed by the priceline less than 8 bars ago and now it went so far that the condition of 30% is triggered then red and green markers light.
Anchored VWAP BandSimple script to anchor vwap to a drag and drop spot on the chart and display it as a band instead of a line.
the AVAP Band displays:
1. The AVWAP using High as the source
2. The AVWAP using OHLC4 as the source
3. The AVWAP using Low as the source
This is just a different way of visualising VWAP from an anchored point in time (Band vs Line)
Correlated ATR MA | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the price is above the moving average this shows the bullish trend is strong.
When the price is below the moving average this shows the bearish trend is strong.
When the moving average is purple, the trend is bullish, when it is gray, the trend is bearish.
Features:
Purple line for bullish trend and gray line for bearish trend.
Custom formula combining an ATR and Hull MA to clearly indicate trend strength and direction.
Unique approach to moving averages by taking the average of 3 types of MA's combined with custom ATR's.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Signal value is calculated from the difference between the previous source and ATR values.
3 — Final value is being calculated using the following formula:
cor * target + (1 - cor) * nz(atr , target)
4 — Moving average is calculated by getting the average of 3 values: a normal HMA, HMA plus final value, and HMA minus final value.
Smooth EMA/DEMA/TEMA/EHMA (SEMA)This is my attempt at smoothing the exponential moving average any its cousins. I literally just smoothed the source and alpha and this is what we got. I really like this because you get a nice smooth yet fast acting moving average that works better than a traditional simple moving average. This script also included directional alerts.
Smooth EMA
Smooth DEMA
Smooth TEMA
Smooth EHMA
10 MAs Alpha Indicator by MontyThis indicator is a part of the script I coded earlier this month.
The name is to surprise one of our discord member.
I will publish that indicator in a few days as well, but publishing this as a gesture of giving back to the community.
Indicator has:
10 Moving Averages
Adjustable Color, Opacity and Size etc
Shows Labels for each of the MA.
Can be shifted between EMA or SMA
Can be fixed to show a specific TF MA on current Timeframe.
Oscillating Length Moving Averages***CREDIT TO TradingView's TA Library*** (), Attempted to use "import TradingView/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, ><Trough
step6:Select Final Filtering method
step7:plot
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.
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.
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.
Williams Fractals + SMMAwilliams fractail + smoothed moving average. moving average. williams fractails with moving average , williams fractails + MA, smma
HL-AverageThis script extracts the highest price "ta.highest" and lowest price "ta.lowest" over a period of time, obtains the average value "array.avg" and plots it on a chart. At the same time, it also plots high and low prices, so you can use the volatility over a period of time and its center point as a reference for trading. The pine code is as simple as possible, so there is no difficulty. You can also change the period. We sincerely hope that this script will help you in your trading.
[co.n.g.] ADR 5/10/14/20Average Daily Range (ADR) over 5/10/14/20 Days
What it is
One of the oldest measurements of price volatility that is being used in technical and statistical trading is the range of a specific period of past days to estimate probability of chances, risk and price movements, as seen f.e. in
Molodovsky, N. (1967). Building a Stock Market Measure—A Case Study. Financial Analysts Journal, 23:3, 43-46 , DOI: 10.2469/faj.v23.n3.43.
Problem
After having tried all available community scripts I've encountered various indifferences, especially since Pine v5.
First, the anchor period changed, when I've switched between regular and extended trading hours.
- This meant, that the anchor switched between the official open of the day and the first bar of a new day beginnig at 00:00 UTC (or the corresponding timezone).
Second, thus in some scripts also changed the calculated average range, including or excluding pre market and after hours.
And therefor third, in many cases the distance between open and ADR high/low was indiffferent, putting one closer and the other further away.
Why is that?
After having tried seven different modes of calulation - from ta. to array, it appeared that especially since Pine v5 the calulation is lagging when calling
the request.security function and is thus rendering the calculations indifferent.
Especially the open is lagging and plotting delayed, about 15 minutes on a M1-chart or about 45 minutes on a M15 chart, which made id difficult to spot open (test) drives
- as f.e. described in Dalton, J. F., Jones, E. T., & Dalton, R. B. (1990). Mind over markets: power trading with market generated information. 1st edition . Probus. -
and estimating extremely strong or weak open moves.
While switching between regular and extended intraday charts, the open was either calculated on the open as request of "D" (open of the regular session)
and "1440" (which means full intraday since 00:00 UTC or the corresponding timezone), leading to undesired anchoring.
After having tried about five different anchoring periods and comparing the adr to @TradingView 's stock screener, there was no proper calulation or plotting possible,
if not partially hardcoded (being the least desired, elegant or flexible method).
Visualizing the problem
As described in the picture:
@sherwind 's ADR is plotting entirely wrong! I couldn't even figure out (even the source is available) whre the problem is rooted.
@treypeng 's ADR is anchored properly, but unfortunately the calculation is wrong.
Originality
As evident in the attached picture - and you are able to compare this to @TradingView 's stock screener - in this script as well the ADR is calculated PROPERLY
as well as the anchoring is set PROPERLY within the first tick of the session.
As matter of fact, you don't have to examine different timeframes, charts or sessions simoultaneously to see the correct levels and
you're able to ease observations and focus on your trading.
Innovation
There is no innovative approach, as described above, simply because this statistical approach is around since the 1960's.
Considering coding, neither is, but it is properly calculated and anchored.
What this script does
Anchoring at the first tick of the new New York session
Plotting the actual - not the past nor future - average day range (gray lines in picture)
Plotting the actual - not the past nor future - 75% average day range ( silver lines in picture)
Vizualising ADR breakouts by colouring the backround green (long breakout) or read (short breakout)
Selection methods
Keeping it simple stupid, as of now:
Abiliy to chose between 5/10/14/20 days
Additional
Theory says, that we are staying within the ADR of 75% every day.
_
Alas, there are some exceptions.
If price is breaking out of the ADR, we are likely to move in this direction for the rest of the day.
If price has broken out of the ADR on the previous day, ist highly unlikely to expect another ADR breakout day,
which doesn't mean that there might not appear a strong or weak second day.
Notes
Designed for intraday stock trading of the U.S. market.
Best (and easiest) chances are to be spotted in special conditions.
//Cheers,
//Constantine
VWAP - Volume-Weighted Average PriceVolume-Weighted Average Price (VWAP) is calculating day, week, month or year average price where transaction prices are weighted with the volume value.
This way script is estimating the average price based on both volume and price.
Features:
Drawing VWAP for days, weeks, months or years
Drawing initial periods (% with or without weekends)
Drawing last close value
3 standard deviation slots
Labels with values
Script Settings:
| Volume-Weighted Average Price visualization |
Type - Chart type selection:
D(ay) - Daily Volume Weighted Average Price
W(eek) - Weekly Volume Weighted Average Price
M(onth) - Monthly Volume Weighted Average Price
Y(ear) - Annual Volume Weighted Average Price
Draw VWAP - VWAP visiblity checkbox, color and line width used for VWAP visualization, checkbox for label with value.
Previous close - Drawing last VWAP close value. Color and line width used for drawing. checkbox for label with value.
Establishing period - Drawing initial area (described as % of the chart type period). Color picker for warning box background. VWAP is restarted with each period start. In the initial period VWAP value and it's deviations are not accurate and some traiding technics recommend to skip initial periods.
Include weekends - Checkbox if establishing period calculations should include weekends. Stock exchanges are not working during weekends (should be not checked) and crypto markets are working 7 days a week (should be checked).
| Standard deviation |
Slot1 - Standard deviation multiplier (0 is hiding), color and line width.
Slot2 - Standard deviation multiplier (0 is hiding), color and line width.
Slot3 - Standard deviation multiplier (o is hiding), color and line width.
Troubleshooting:
In case of any problems, please contact the author of the script. To improve speed of solving problem first check if script is drawn, and if there is a "!" character after script params. If you can see "!" character, move cursor over it for detail. Send message with error details, ticker and interval to us. The more precise will be your description the faster we will be able to help you.
Ultimate Moving Average Strategy CreatorHave you ever wanted to create your OWN strategy, but don't have coding experience? Well now you can.
With simple settings, but millions of potential strategies and combinations, this indicator / strategy lets YOU make ALL the rules.
Start by choosing up to 4 moving averages from all the various types - Simple, Exponential, Hull, Volume-Weighted, etc. Choose the period and choose price source.
Now the fun part.
You select your values to compare and how to compare them. Want to test if the Fast Moving Average crosses over the Slow Moving Average? No problem. Want to add an additional test to check the closing price is greater than the Fast Moving Average? Done.
With additonal options to set take profit % and stop loss %, as well as a date range and the option for 'Long Only' positions, you can instantly see the results of any strategy in the strategy tester, then simply make an adjustment and refine the criteria without having to know or understand any of the complex coding and scripting.
I have tried many popular moving average strategies, but irrespective of the results, the thing that stood out to me was how inflexible they were. If it was designed to test a triple crossover, that's all it could do. With this indicator, literally anything is possible and modifying the parameters couldn't be easier.
