Moonhub IndexMoonhub Index combines several popular technical indicators to create an aggregated index that aims to give a clearer overall picture of the market. The index takes into account the current market condition (trending, ranging, or volatile) to adjust its calculations accordingly.
The indicators used in this composite index are:
Hull Moving Average (HMA)
Fisher Transform (FT)
Williams Alligator
Moving Average Convergence Divergence (MACD)
Average True Range (ATR)
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution (AD)
Pivot Points
True Strength Index (TSI)
Volume-Weighted Average Price (VWAP)
The script calculates the values of each indicator and then normalizes and weighs them according to predefined weights. The composite index is formed by summing the weighted values of each indicator. The final Moon Index is plotted on the chart, along with several other related lines like the exponential moving averages (EMA) and simple moving averages (SMA) of the index.
This custom index can be used by traders to get a more comprehensive view of the market and make better-informed trading decisions based on the combined insights of multiple indicators.
ATR
[TTI] ATR Trailing Stop Alerts––––HISTORY & CREDITS 🏦
The Trailing Stop Alert is a TradingView indicator developed by TintinTrading, which is designed to help traders manage their positions by updating and alerting them about their trailing stop levels. This tool is a valuable addition to a trader's arsenal, as it automates the process of maintaining trailing stop levels and alerts the user when they are updated or hit.
––––WHAT IT DOES 💡
The Trailing Stop Alert indicator calculates trailing stop levels based on the Average True Range (ATR) of an asset over a specified lookback period. It takes user inputs for trail type (Long or Short), lookback period, ATR length, ATR multiplier, and bar time. The indicator can be applied to any financial instrument and will dynamically update the trailing stop level based on price action. When the trailing stop level is updated or hit, the indicator generates alerts to inform the user of these events.
––––HOW TO USE IT 🔧
1. Add the Trailing Stop Alert indicator to your TradingView chart.
2. Configure the settings according to your preferred parameters:
👉Trail Type: Choose between "Long" or "Short" based on your trading position.
👉Lookback: Set the number of bars to look back for determining the highest high or lowest low.
👉ATR Length: Set the period for calculating the Average True Range.
👉ATR Multiplier: Set the multiplier to adjust the trailing stop distance.
👉Bar Time: Set the time at which the indicator starts updating the trailing stop levels.
3. The indicator will plot the trailing stop level on the chart, and update it as the price action unfolds.
4. When the trailing stop level is updated or hit, you will receive an alert in the form of a message with the new level or a notification that the stop has been hit.
5. Adjust your stop loss orders accordingly based on the trailing stop levels provided by the indicator.
By using the Trailing Stop Alert indicator, you can effectively manage your positions and reduce the risk of giving back profits in a trade.
Scalper's toolkit - ATR WidgetWidget specifically designed for scalping. Many settings to fit the instrument and view preferences to make it fit into your chart window how you like, even on mobile.
** I have 5 other features to add into this in the very near future, as I use this as my primary tool for Risk reward. This script will be updated in the near future as more features are coded into it. See bottom for notes on plans
Features:
Displays a quick view of the ATR value on the chart, in decimal PIPs or directly in Points - a key value for scalping using the DOM for point value settings and one click trading on fast time frames.
Automatic calculation of stop and target distance for a predetermined Risk Reward Ratio (Set with the settings panel), and then also displayed in PIPs or Points for easy use in quick trading.
Works on most all instruments/pairs/cryptos with multiple precision levels for correct values to be shown in the widget.
Fully customizable -
ATR period Base setting, just like a normal ATR indicator
Display in : PIPs or Points
ATR based stop distance, using a multiplier. 2 is the most common multiplier used, and the default setting.
Risk Reward Calculation using the Stop Loss value.
-Quickly helps with proper target and stop sizing for the volatility in the price on the current trade entry point.
-Set to any ratio you wish, from 1:0.1 all the way to 1:100 or more, unlimited R ratio settings to fit your strategy and risk tolerances.
Position anywhere on the chart window with 9 preset locations available (Pine script limitation)
Show as a column layout or a row layout
Customize the Size, with 5 preset widget sizes, from tiny to huge (Pine script limitation)
-Mobile Friendly - Tiny or Small may be too small on PC, but can be used for Mobile so the widget does not become too large over the chart.
Custom text, background, and boarder colors
Custom Boarder Size - 0 size is no boarder
Set up:
-Open the settings panel.
First section is the basic settings for the ATR - the length (Default is 14) and to use a PIP value display, or Point value display.
Here you also see a "Precision" Setting. **Because each instrument returns different precision ATR values, it is difficult to determine with code what those values will be ahead of time to do the math in the background. Even some 2 decimal instruments return 5 decimal ATR values, so this setting filters that** Just use the dropdown and choose how many decimal places the instrument has from 2 - 5 decimals
The second section is for risk and reward calculations, and can be disabled if you do not want to see these values.
The first value is the "ATR Multiplier" Typically, a 2x multiplier is used on the ATR to determine how far away to place your stop loss from the entry, placing it out of harm's way from normal market activity.
The second value is the Reward target distance, based from the stop loss size. This quickly calculates your target to match your intended reward ratio, saving some manual work to calculate this by hand every trade.
** Note: because of the math used in the code, you may see odd values on some instruments, like indexes. If you have the precision correct, try changing the "Show in Pips" to "Show in Points", as this may solve the issue.
The last two sections are purely for how the widget looks and how/where it shows on the screen. These can be set however you like. To have no boarder, just set the "Frame size" value to 0.
Additional Updates planned:
Pip value calculation (2 feature uses)
-This will serve 2 purposes. The widget will calculate the value of the trade based on the lot size. It will also have a risk limit, so if the ATR get's too high for the current risk settings, It will show red to warn you of a high risk situation before you trade.
Example, you have a set limit of 3 dollars per trade using .02 lot sizing. If the ATR get's too high, The Stop value will be more risk than you would like to use at that trade sizing. Reduce the trade size, or wait for ATR to come lower.
Purpose 2: lot size calculation, so if you wanted to maximize the use of risk available. If you wanted to risk 600 for example, it would use the ATR you have set for the risk, and determine the proper lot size for the amount of volatility in the market. This way, you Risk Exactly, or as close as possible to 600 for the the current trade conditions.
Extra use for this value: Show the Current trade amounts at risk and for gain in money values on the side of the pip/point value. Know what you're risking and also trading for in monetary value.
ATR candle Comparison- Early momentum Detection (2 feature uses)
Will show an additional section on the bottom of the widget to show how each candle compares to the one before, up to the last 5, and show if ATR went down, up, or stayed the same over the last 5 candles.
Show an additional symbol to indicate the current candle status in comparison to the close of the last candle. Real time of if the ATR is getting larger, smaller, or staying the same.
Volatility Spike EstimatorPlots the Average True Range (ATR), its historical mean, the upper threshold for a volatility spike, and uses background color to show the likelihood of a volatility spike based on the current ATR value.
Green background indicates an increased likelihood of a volatility spike, while red background means a spike might have already occurred or be in progress.
Update: In this version, we added a short-term ATR calculation with an adjustable input parameter, shortTermATRLength. The likelihood of a volatility spike is now estimated based on the short-term ATR instead of the original ATR. This change makes the indicator more sensitive to recent market conditions and can help detect potential volatility spikes more quickly.
The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)
Are you tired of manually analyzing charts and trying to find profitable trading opportunities? Look no further! Our algorithmic trading strategy, "Flash," is here to simplify your trading process and maximize your profits.
Flash is an advanced trading algorithm that combines three powerful indicators to generate highly selective and accurate trading signals. The Momentum-RSI, Super-Trend Analysis and EMA-Strategy indicators are used to identify the strength and direction of the underlying trend.
The Momentum-RSI signals the strength of the trend and only generates trading signals in confirmed upward or downward trends. The Super-Trend Analysis confirms the trend direction and generates signals when the price breaks through the super-trend line. The EMA-Strategy is used as a qualifier for the generation of trading signals, where buy signals are generated when the EMA crosses relevant trend lines.
Flash is highly selective, as it only generates trading signals when all three indicators align. This ensures that only the highest probability trades are taken, resulting in maximum profits.
Our trading strategy also comes with two profit management options. Option 1 uses the so-called supertrend-indicator which uses the dynamic ATR as a key input, while option 2 applies pre-defined, fixed SL and TP levels.
The settings for each indicator can be customized, allowing you to adjust the length, limit value, factor, and source value to suit your preferences. You can also set the time period in which you want to run the backtest and how many dollar trades you want to open in each position for fully automated trading.
Choose your preferred trade direction and stop-loss/take-profit settings, and let Flash do the rest. Say goodbye to manual chart analysis and hello to consistent profits with Flash. Try it now!
General Comments
This Flash Strategy has been developed in cooperation between Baby_whale_to_moon and JS-TechTrading. Cudos to Baby_whale_to_moon for doing a great job in transforming sophisticated trading ideas into pine scripts.
Detailed Description
The “Flash” script considers the following indicators for the generation of trading signals:
1. Momentum-RSI
2. ‘Super-Trend’-Analysis
3. EMA-Strategy
1. Momentum-RSI
• This indicator signals the strength of the underlying upward- or downward-trend.
• The signal range of this indicator is from 0 to 100. Values > 60 indicate a confirmed upward- or downward-trend.
• The strategy will only generate trading signals in case the stock (or any other financial security) is in a confirmed upward- (long entry signals) or downward-trend (short entry signals).
• This indicator provides information with regards to the strength of the underlying trend and it does not give any insight with regard to the direction of the trend. Therefore, this strategy also considers other indicators which provide technical confirmation with regards to the direction of the underlying trend.
Graph 1 shows this concept:
• The Momentum-RSI indicator gives lower readings during consolidation phases and no trading signals are generated during these periods.
Example (graph 2):
2. Super-Trend Analysis
• The red line in the graph below represents the so-called super-trend-line. Trading signals are only generated in case the price action breaks through this super-trend-line indicating a new confirmed upward-trend (or downward-trend, respectively).
• If that happens, the super trend-line changes its color from red to green, giving confirmation that the trend changed from bearish to bullish and long-entries can be considered.
• The vice-versa approach can be considered for short entries.
Graph 3 explains this concept:
3. Exponential Moving Average / EMA-Strategy
The functionality of this EMA-element of the strategy has been programmed as follows:
• The exponential moving average and two other trend lines are being used as qualifiers for the generation of trading-signals.
• Buy-signals for long-entries are only considered in case the EMA (yellow line in the graph below) crosses the red line.
• Sell-signals for short-entries are only considered in case the EMA (yellow line in the graph below) crosses the green line.
An example is shown in graph 4 below:
We use this indicator to determine the new trend direction that may occur by using the data of the price's past movement.
4. Bringing it all together
This section describes in detail, how this strategy combines the Momentum-RSI, the super-trend analysis and the EMA-strategy.
The strategy only generates trading-signals in case all of the following conditions and qualifiers are being met:
1. Momentum-RSI is higher than the set value of this strategy. The standard and recommended value is 60 (graph 5):
2. The super-trend analysis needs to indicate a confirmed upward-trend (for long-entry signals) or a confirmed downward-trend (for short-entry signals), respectively.
3. The EMA-strategy needs to indicate that the stock or financial security is in a confirmed upward-trend (long-entries) or downward-trend (short-entries), respectively.
The strategy will only generate trading signals if all three qualifiers are being met. This makes this strategy highly selective and is the key secret for its success.
Example for Long-Entry (graph 6):
When these conditions are met, our Long position is opened.
Example for Short-Entry (graph 7):
Trade Management Options (graph 8)
Option 1
In this dynamic version, the so-called supertrend-indicator is being used for the trade exit management. This supertrend-indicator is a sophisticated and optimized methodology which uses the dynamic ATR as one of its key input parameters.
The following settings of the supertrend-indicator can be changed and optimized (graph 9):
The dynamic SL/TP-lines of the supertrend-indicator are shown in the charts. The ATR-length and the supertrend-factor result in a multiplier value which can be used to fine-tune and optimize this strategy based on the financial security, timeframe and overall market environment.
Option 2 (graph 10):
Option 2 applies pre-defined, fixed SL and TP levels which will appear as straight horizontal lines in the chart.
Settings options (graph 11):
The following settings can be changed for the three elements of this strategy:
1. (Length Mom-Rsi): Length of our Mom-RSI indicator.
2. Mom-RSI Limit Val: the higher this number, the more momentum of the underlying trend is required before the strategy will start creating trading signals.
3. The length and factor values of the super trend indicator can be adjusted:ATR Length SuperTrend and Factor Super Trend
4. You can set the source value used by the ema trend indicator to determine the ema line: Source Ema Ind
5. You can set the EMA length and the percentage value to follow the price: Length Ema Ind and Percent Ema Ind
6. The backtesting period can be adjusted: Start and End time of BackTest
7. Dollar cost per position: this is relevant for 100% fully automated trading.
8. Trade direction can be adjusted: LONG, SHORT or BOTH
9. As we explained above, we can determine our stop-loss and take-profit levels dynamically or statically. (Version 1 or Version 2 )
Display options on the charts graph 12):
1. Show horizontal lines for the Stop-Loss and Take-profit levels on the charts.
2. Display relevant Trend Lines, including color setting options for the supertrend functionality. In the example below, green lines indicate a confirmed uptrend, red lines indicate a confirmed downtrend.
Other comments
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
ATR-Stepped, Another New Adaptive Moving Average [Loxx]ATR-Filtered, Another New Adaptive Moving Average is a modification of @cheatcountry's "Another New Adaptive Moving Average " shown below
I've added AT- stepped filtering. This is a standard ATR filter that works by requiring movement by XX multiple of ATR before registering a trend flip. I've also included Loxx's Expanded Source Types. You can read about those here:
From @cheatcountry on A New Adaptive Moving Average
The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and this is a companion indicator to my previous script
This indicator still works off of the same concept as before with effort vs results but this indicator takes a slightly different approach and instead defines results as the absolute difference between the closing price and a closing price x bars ago. As you can see in my chart example, this indicator works great to stay with the current trend and provides either a stop loss or take profit target depending on which direction you are going in. As always, I use darker colors to show stronger signals and lighter colors to show normal signals. Buy when the line turns green and sell when it turns red.
Included
Alerts
Signals
Loxx's Expanded Source Types
Ladder ATRThis indicator shows the upwards (green) and downward (red) volatility of the market. It is a moving average of the true range values like the ATR indicator does but with a twist! For the upwards volatility, only the green candles are taken into account, and for the downwards only the red candles are.
To the best of my knowledge, this technique had been introduced by HeWhoMustNotBeNamed in his "Supertrend - Ladder ATR" publication where the different types of volatility helped to improve the "trend reversal" conditions compared to the "Supertrend" indicator.
However, the actual "Ladder ATR" values were hard to see. This indicator shows the actual upward and downward volatility making it easy to reason about long and short price moves and potential biases in each direction.
In layman's terms this indicator "Ladder ATR" is to the "Supertrend - Ladder ATR" what the "Average True Range" indicator is to the "Supertrend" indicator.
Typical Sweeps: Pivot high/low boxes. Grade sweeps, Handles/PipsTool to show typical pip-grade/ handle-grade sweep distance above pivot highs and pivot lows
-In consolidation/ranging periods (i.e. most of the time); Highs/Lows may by swept by fairly consistent distances in typical stop raids.
-Idea is from ICT teaching on typical Pip-grade sweeps in FX (10,20,30pips). Designed to work on FX, Indices, Commodities, Bitcoin.
-Above chart shows S&P; sweeping below and then above by 5 handles.
///inputs///
~choose sweep distance handles ($) or pips: will auto-calculate depending on the asset: FX= pips; Indices/stocks/commodities = handles ($)
--(2,5,10,20,30,50,100, 500, 1000)
~choose pivot lookback: larger number for more significant swing highs/lows
~choose number of historical boxes to display
~toggle on/off Pivot high boxes and Pivot low boxes independently
~extend boxes fully to the right (default is not extend)
~toggle on/off text
~text & box formatting options
Bitcoin, hourly chart; Pivot lookback = 15; $100 sweep boxes:
Eur/Usd; 15m chart; Pivot lookback = 30; 10pip sweep boxes; Boxes extended fully to the right:
+ Average Candle Bodies RangeACBR, or, Average Candle Bodies Range is a volatility and momentum indicator designed to indicate periods of increasing volatility and/or momentum. The genesis of the idea formed from my pondering what a trend trader is really looking for in terms of a volatility indicator. Most indicators I've come across haven't, in my opinion, done a satisfactory job of highlighting this. I kept thinking about the ATR (I use it for stops and targets) but I realized I didn't care about highs or lows in regards to a candle's volatility or momentum, nor do I care about their relation to a previous close. What really matters to me is candle body expansion. That is all. So, I created this.
ACBR is extremely simple at its heart. I made it more complicated of course, because why would I want anything for myself to be simple? Originally it was envisaged to be a simple volatility indicator highlighting areas of increasing and decreasing volatility. Then I decided some folks might want an indicator that could show this in a directional manner, i.e., an oscillator, so I spent some more hours tackling that
To start, the original version of the indicator simply subtracts opening price from closing price if the candle closes above the open, and subtracts the close from the open if the candle closes below the open. This way we get a positive number that simply measures candle expansion. We then apply a moving average to these values in order to smooth them (if you want). To get an oscillator we always subtract the close from the open, thus when a candle closes below its open we get a negative number.
I've naturally added an optional signal line as a helpful way of gauging volatility because obviously the values themselves may not tell you much. But I've also added something that I call a baseline. You can use this in a few ways, but first let me explain the two options for how the baseline can be calculated. And what do I mean by 'baseline?' I think of it as an area of the indicator where if the ACBR is below you will not want to enter into any trades, and if the ACBR is above then you are free to enter trades based on your system (or you might want to enter in areas of low volatility if your system calls for that). Waddah Attar Explosion is another indicator that implements something similar. The baseline is calculated in two different ways: one of which is making a Donchian Channel of the ACBR, and then using the basis as the baseline, while the other is applying an RMA to the cb_dif, which is the base unit that makes up the ACBR. Now, the basis of a Donchian Channel typically is the average of the highs and the lows. If we did that here we would have a baseline much too high (but maybe not...), however, I've made the divisor user adjustable. In this way you can adjust the height (or I guess you might say 'width' if it's an oscillator) however you like, thus making the indicator more or less sensitive. In the case of using the ACBR as the baseline we apply a multiplier to the values in order to adjust the height. Apologies if I'm being overly verbose. If you want to skip all of this I have tooltips in the settings for all of the inputs that I think need an explanation.
When using the indicator as an oscillator there are baselines above and below the zero line. One funny thing: if using the ACBR as calculation type for the baselines in oscillator mode, the baselines themselves will oscillate around the zero line. There is no way to fix this due to the calculation. That isn't necessarily bad (based on my eyeball test), but I probably wouldn't use it in such a way. But experiment! They could actually be a very fine entry or confirmation indicator. And while I'm on the topic of confirmation indicators, using this indicator as an oscillator naturally makes it a confirmation indicator. It just happens to have a volatility measurement baked into it. It may also be used as an exit and continuation indicator. And speaking of these things, there are optional shapes for indicating when you might want to exit or take a continuation trade. I've added alerts for these things too.
Lastly, oscillator mode is good for identifying divergences.
Above we have the indicator set to directional, or oscillator, mode. Baselines are Donchian Channels. I changed the default EMA length from 4 to 24 in this case, otherwise all the settings are default, as in the main image for the indicator (which is clearly set to non-directional). The indicator is set to requiring an advancing signal line for background and bar colors. Background color is not on by default. Candle colors, as you can see are aqua when above the top baseline (and only when the signal line is advancing, as per the settings), magenta when below the bottom baseline, and grey for anything else. The red and blue X's are exit signals. There are two types: one, when the signal line weakens and, two, when the ACBR crosses above or below the signal line. There are also arrows. These are continuation signals (ACBR crossing signal line).
Same image as above, but the baselines are set to ACBR rather than Donchian Channels.
Again, the same image, but with everything but the ACBR Baseline turned off. You can see how this might make for an excellent confirmation indicator, but for the areas of chap. Maybe run a second instance of the indicator on your chart as a volatility indicator, as you would not be using it in that way in this instance.
Here I have bar coloring turned off except for signal line crosses NOT requiring the signal line to be advancing. Background coloring is also turned on. You can see that these all line up with continuation signals, or exits for purple candles.
Same image as above but requiring the signal line to be advancing. You can see that continuation signals are not contingent upon the signal line to be advancing. I had it setup that way at first, but of course it still gave false signals, so I thought more signals (not that there are many) is better than fewer. To be sure, just because the indicator shows a continuation signal does not mean you should always take it.
Rail Line Levels [s3]Plots support/resistance lines based on a neutral signal (white portion) of the Rail Line (variable moving average) for a period of time designated by the user (defaults to 9 bars). Support/Resistance lines will be removed after a period of tests and can be determined by the user (defaults to 26). Support/Resistance is deemed not as important or strong after several touches or tests. The trailer uses a combination of the calculation for the Rail Line (variable moving average) and an ATR to show the overall trend direction.
The indicator is centered around a Variable Moving Average. The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
In addition to the VMA, the indicator makes use of the ATR which measures market volatility by decomposing the entire range of an asset price for that period. The true range 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.
Self Optimizing Supertrend [Starbots]Self Optimizing Supertrend Strategy. (non-repainting)
Script constantly tests 15 Supertrend combinations for maximum profitability and trades based on the best performing combination.
You will notice that signal lines switch after a bar close sometimes, this is when the strategy optimizes to the better combination and change plots, strategy is dynamic.
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# Average True Range (ATR)
The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps or limit moves.
# Supertrend
A Super Trend is a trend following indicator similar to moving averages. It is plotted on price and the current trend can simply be determined by its placement vis-a-vis price. It is a very simple indicator and is constructed with the help of just two parameters- period and multiplier.
When we construct the Supertrend indicator strategy, the default parameters are 10 for Average True Range (ATR) and 3 for its multiplier. The average true range (ATR) plays a key role in ‘Supertrend’ as the indicator uses ATR to compute its value and it signals the degree of price volatility.
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-Turn on Supertrend Profit Dashboard and spot the worst/best performing combination. You can change them to get the best performance overall.
-Backtesting Range - backtest within your desired time window. Example: 'from 01 / 01 /2020 to 01 / 01 /2023'.
-Optimizing range - you can decrease the amount of bars/data for optimizing script. This way you can keep it up to date to more recent market by selecting optimizing range to optimize it just from the recent 3-6months of data for example. Strategy before this selected range will normally trade (backtest) based on the fifth buying condition (5. Supertrend Factor) parameter in your menu (1.6 by default) if you turn this on.
*I recommend 'Optimizing Range' turned off actually, use max amount of available bars in your history for optimization script.
- Strategy is trading on the bar close without repaint. You can trade Long-Sell or Long- Short. Alerts available, insert webhook messages.
- Turn on Profit Calendar for better overview of how your strategy performs monthly/annualy
- Recommended ATR Length : 10 (default), higher timeframes usually performs good on the shorter period lengths 6-10, smaller timeframes on the larger ATR period length 10-20.
- Recommended Sources : hl2 (default Supertrend), close, hlc3, hlcc4 (when scalping/day trading and market is uptrending good, you can use 'volume' as a source, comes in handy)
- Recommended Smoothing Moving Average for ATR : We smooth the ATR calculation with moving average, traders usually use SMA as a moving average here, but you can use alternatives like EMA, HMA. Try them if this improves your results.
- Recommended TF : 15min, 30min, 1h, 2h, 4h, 8h, 1d (low timeframes works good if you have no fees like Binance currently do on BTC for example otherwise you probably want to use 1/2h+ chart)
- Supertrend Factor parameters : pre-set Supertrend Factors are very good and common in trading world, you don't need to change them, but you can do it at free will. Traders usually use Supertrend factor of 2 or 3, use parameters around this numbers.
- Notes window : add your custom comments in or save your webhook message text inside here for later use.
- Trading Session: in a session, you have to specify the time range for every day. It will trade only within this window and close trades when it's out. Session from 9am to 5pm will look like that: 0900-1700 or 7am to 4:30pm 0700-1630. After the colon, you can specify days of the week for your trading session. 1234567 trading all days, 23456 – Monday to Friday ('1 is Sunday here'). 0000-0000:1234567 by default will trade every day nonstop. 00.00am to 00.00pm and 1234567 every day of the week for example - Cryptocurrencies.
This script is simple to use for any trader as it saves a lot of time for searching good parameters on your own. It's self-optimizing and adjusting to the markets on the go.
TheATR™: Volatility Extremes (VolEx)Volatility is a crucial aspect of financial markets that is closely monitored by traders and investors alike. The traditional Average True Range (ATR) oscillator is a widely used technical indicator for measuring volatility in financial markets. However, there are limitations to the ATR oscillator, as it does not account for changing market conditions and may not adequately reflect extreme price movements. To address these limitations, TheATR has developed the VolEx indicator, which aims to identify extremes in the ATR oscillator by building dynamic thresholds using either a 'percentage' or 'standard deviation' based comparison with the value of the ATR.
The VolEx indicator utilizes a dynamic approach to measure volatility by considering the current level of the ATR oscillator relative to the dynamically generated thresholds. The dynamic thresholds are calculated based on the current ATR value and the chosen method of comparison (either 'percentage' or 'standard deviation'). If the ATR value exceeds the upper dynamic threshold, the market is experiencing high volatility, while a value below the lower dynamic threshold indicates low volatility.
The VolEx indicator offers several advantages over traditional volatility indicators, such as the ATR oscillator. First, it takes into account the changing market conditions and adjusts the thresholds accordingly. Second, it offers flexibility in the choice of the comparison method, allowing traders to tailor the indicator to their specific trading strategies. Finally, it provides clear signals for identifying extremes in volatility, which can be used to inform trading decisions.
In summary, the VolEx indicator developed by TheATR is a dynamic and flexible technical indicator that offers a robust approach to measuring volatility in financial markets. By utilizing dynamic thresholds and allowing for different comparison methods, the VolEx indicator provides a valuable tool for traders and investors seeking to identify extremes in market volatility..
NOTE: It is important to note that volatility, as measured by the VolEx indicator, does not provide any directional bias for the market movement. Rather, it simply indicates the degree to which the market is moving, regardless of direction. Traders and investors must use other technical or fundamental analysis tools to determine the direction of the market and make informed trading decisions based on their individual strategies and risk tolerance.
Artharjan - ATR DashboardArtharjan - ATR Dashboard indicator is designed to plot a dashboard of Average True Range for past 10 candles on the chart. It calculates and shows what percentage of the closing price the ATR is for the selected timeframe.
It also plots the volume of past 10 days and shows whether the volume has gone up (Green Color) or fallen (Red Color)
For daily timeframe since there are 22 active trading days per month a default 11 period is selected for the Daily timeframe however users may change according to their preference.
If the timeframe is in seconds - 75 period is used to calculate ATR
If the timeframe is in Intraday - 25 period is used to calculate ATR
If the timeframe is in Daily - 11 period is used to calculate ATR
If the timeframe is in Weekly - 4 period is used to calculate ATR
If the timeframe is in Monthly - 3 period is used to calculate ATR
The Default ATR period is 14. User has a choice to select the ATR period based on the timeframe or use Standard 14 period for all timeframes.
There is also a provision created to add a Buffer % to the ATR that is calculated. With this Buffer the Options Selling Prices (For Short Strangle Strategy) are calculated. If the Buffer is set to 0 then no Buffer is added to the ATR.
Strike Switch is provided to change the way the Call and Put Options Strike Prices are calculated.
There are two options provided to calculate short strike prices for Out of Money Call and Out of Money Put.
1] Strikes calculation based on H/L of previous candle
2] Strikes calculation based on the midpoint of previous candle (High + Low) /2
Short strikes for the OTM Call Option and OTM Put Options are calculated by adding the Buffered ATR either to the Previous Day High and subtracting Buffered ATR from Previous Day Low OR by adding the Buffered ATR either to the mid point of Previous Day and subtracting Buffered ATR from mid point of previous Day. If Buffer % is set to zero then no Buffer is added to the ATR.
Traders can decide whether they wish to enter the trade if the ATR is let's say at least 1.25% or higher of the Candles closing price that will ensure decent options premium to be collected by Options Writers.
The Dashboard plots following details for 10 period
1] Closing Price (LTP)
2] % Change of Closing Price
3] ATR for the selected Period
4] % Change in ATR
5] ATR as a Percentage of LTP
6] Buffered ATR
7] CE Strike
8] PE Strike
9] Volume (IN THOUSANDS)
Hope traders will find this dashboard very useful.
Regards
Rahul Desai
@Artharjan
ATR/ADR coveredThis indicator is used to gauge the current price movement of the instrument relative to its Daily ATR and Daily ADR%.
The indicator has 4 parameters on its panel.
ADR% - This shows the average daily price range for the past given period.
ATR - This shows the average true range of the past given period.
Atr covered - Expressed in %, this shows how much of the ATR, the price has covered today.
Adr covered - Expressed in %, this shows how much of the ADR%, the price has covered today.
This indicator can be used to gauge how far the intraday price has moved from its ADR% and ATR and hence decide whether the stock is extended or not.
Note: The Indicator only shows values based on Daily timeframe.
-ve value of Atr covered is relative to the price direction of the instrument in comparison to yesterday.
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.
ATR fluctuation abnormal warning RTA77 1.0//en
ATR fluctuation abnormal warning RTA77 1.0
COINBASE:BTCUSD
"coming? "
A classic technical term for impending volatility. But "coming" generally means that the question of whether volatility or a trend is coming is asked only after volatility has been observed.
By combining short-term volatility, long-term volatility, and abnormal changes in relative cycles, this indicator identifies potential changes in upcoming volatility (volatility changes) at an earlier stage, allowing the market to be asked the question "Is it coming?
Since volatility itself has a lag, and the longer the period, the more lagged the detection of abnormal volatility will be, so this indicator is only suitable for short-term, small period (15M - 1H) best. Because volatility is passed from small to large, there is a chance to detect large volatility quotes by catching potential volatility abnormal changes in small cycles.
The "volatility warning" of this indicator all refers to the plate is in abnormal volatility, or is about to occur volatility anomaly, can be used as a precursor warning of the emergence of volatility anomaly in the later market. When a golden cross between short-term volatility and long-term volatility is observed, it means that in a short period of time, or in the future, a high volatility market will be profitable in contrast to the previous low volatility market.
(Alert triggering is not only limited to a single time, if it is confirmed several times in a short period of time, if volatility has not yet occurred, the probability of volatility in the future market increases in the short term)
This indicator of "shock warning" all refers to the plate may have been from the previous state of high volatility, into a low volatility of the shock state, orderly or disorderly, suggesting that volatility in the short term appeared to reduce the higher the volatility of the previous section of the market, when the shock warning signal, the probability of starting to enter the shock adjustment market.
The ATR of two different cycles can be changed as needed, but must maintain the relationship between short-term and long-term correspondence, each subject has a different cycle, you need to judge and find the optimal parameters
Continuously updated.
//ch
ATR波动异常预警 RTA77 1.0
《来了？》
一个经典代表波动即将来临的专业术语。但“来了”一般情况下指有当人们观察到波动以后，才会发出对市场的提问，波动或趋势是否到来？
本指标通过结合短期波动率，长期波动率，在相对周期内的异常变化表现，从而在更早的阶段发现即将出现波动的潜在变化（波动率变化），使得能够更早的向市场提出疑问《来了？》
由于波动率本身具有滞后性，且周期越长，发现波动异常的时候就会越滞后，所以本指标仅适合在短期，小周期里使用（15M - 1H）最佳。因为波动是从小到大传递，所以通过抓取小周期内潜在的波动异常变化，从而有机会发现大波动行情。
本指标的 “波动预警” 皆指的是盘面正处于异常波动，或者即将发生波动异常，可做为对后市出现波动异常的前兆预警。当观察到短期波动与长期波动金叉时，意味着在短时间内，或者未来将盈利与之前低波动行情相反的高波动行情。
（警报触发不仅限单次，如在短期内多次确认时，如还未发生波动，则后市短期内出现波动概率增大）
本指标的 “震荡预警” 皆指的是盘面可能已经从之前的高波动状态，转变为低波动的震荡状态，有序或无序，提示短期内波动率出现降低，前段波动幅度越高的行情，当出现震荡预警信号时，则大概率开始进入震荡调整行情。
两条不同周期的ATR可以按需要更改，但必须保持短期和长期对应的关系，每个标的有着不同的周期，需要自行判断并找出最优参数
持续更新中。。
STructure Atr Cloud w/ TargetsThis indicator is part of our educational suite focused on teaching price structure, momentum, and mean reversion trading strategies. This indicator is recommended to be used with our “Price Action Trading Indicator” or PATI.
Components of this indicator:
Intraday and Swing Price Structure
Breaks of Structure Identification
Change of Character Identification
Fib-derived Price Targets
Dynamic ATR-based Trend Cloud
This indicator is intended to be used in conjunction with the education we provide to help our users determine their optimal trade plan to utilize their edge.
Intraday (Short-Term) Structure is displayed in gray as HH, HL, LH, LL by default, and the zig-zags can be turned on/off in the settings.
Swing Structure is displayed in yellow as HH, HL, LH, LL by default, and the zig-zags can be turned on/off in the settings.
EQL/EQH show areas where price made an equal low or high.
Dynamic ATR-based Trend Cloud (orange cloud) helps traders stay in profitable trades longer by giving them a visual aid of the current momentum. We have added a confirmation level that dynamically appears when the price breaks over/under the cloud giving validation to the potential trend shift. Failure to break this level tends to result in a rejection and continuation of the current orange cloud trend as you can see in the image above.
Change of Character (ChoCh) shows internal structural breaks where a minor level or supply/demand zone fail, resulting in a potential shift in a short-term trend. Above you can see two common ChoCh setups (head and shoulders/ inverse head and shoulders) that usually result in significant price reversals.
Above is an example of using this indicator on two timeframes to develop short and longer term targets. Previous targets can be used as areas of interest where we can look for price to bounce/reject. Target levels that develop above/below price make great areas to potentially take off some risk/ put risk on.
Please check the Author Instructions Below for how to gain access to our indicators.
Wunder Volatility botWunder Volatility bot
We have used the Average True Range (ATR) in many of its trading versions.
1. ATR with MA. This indicator includes the ATR as well as the simple moving average, which helps to restore the expected market.
2. We apply percentage based ATR to determine how volatile the market is and whether to buy or sell at that time. For trading, we will filter the market and make trades only within the specified range. This range will adjust depending on the asset, so you will need to change the settings if you are trading multiple assets.
3. A function for calculating risk on the portfolio (your deposit) has been added to the Wunder Volatility bot script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example, if your deposit is $1000 and you set the risk to 1%, with a Stop Loss of 5%, the entry volume will be $200. The loss at SL will be $10.10, which is your 1% risk or 1% of the deposit.
**Important!** The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contract” option.
ER-Adaptive ATR Limit Channels w/ States [Loxx]As simple as it gets, channels based on high, low and ATR distances, Shows possible short term support / resistance or can be used as a take profit/stop-loss in some trading systems. It does this by comparing high/low values of price to multiplied by a multiple of ATR to determine when the trend changes. States are included to change the sensitivity to trend changes. 1 is very sensitive, 3 is least sensitive.
This uses Loxx's Expanded Source Types. You can read about them here:
What is ER Adaptive ATR?
Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range
TradePro's 2 EMA + Stoch RSI + ATR StrategySaw TradePro's "NEW BEST HIGHEST PROFITING STRATEGY WITH CRAZY RESULTS - 2 EMA+ Stochastic RSI+ ATR", and was curious on the back testing results. This strategy is an attempt to recreate it.
This strategy uses 50 / 200 EMAs, Stochastic RSI and ATR.
Long Entry Criteria:
- 50 EMA > 200 EMA
- Price closes below 50 EMA
- Stochastic RSI has gone into oversold < 20
- Stochastic RSI crosses up while making higher low from previous cross up
Short Entry Criteria:
- 50 EMA < 200 EMA
- Price closes above 50 EMA
- Stochastic RSI has gone into overbought > 80
- Stochastic RSI crosses down while making lower high from previous cross down
Stop-loss is set to ATR stop-loss
Take Profit is 2x the risk
All parameters are configurable.
Enjoy~~
DTR/ATR Scanner v1.0This indicator allows you to view DTR vs. ATR % for multiple instruments. When colors are Red the instrument is near 90% of its daily ATR.
Lots / Leverage / Margin [JoseMetal]============
ENGLISH
============
- Description:
This is a utility indicator, it prints a table with ATR, Volatility, Lotage and Margin for 3 custom timeframes, using the ATR of basis, it calculates volatility (%) and a recommended lotage depending on your risk settings.
A few months ago i fled from crypto exchanges to regulated brokers, and working with lots instead of plain margin was a bit of headache, i also trade with crypto, currencies, metals and indexes, each with different volatility, leverage... so this tool was a MUST for me to code.
So basically, this tool allows to keep the same RISK for every single asset, no matter if they have different volatility.
- Visual:
The indicator shows a table with all the info explained, ATR, Volatility...
For each timeframe it also prints 3 periods, short, long and average, you can show/hide timeframes and the different periods.
- Customization:
Colors in the table are custom, as well as the font size.
The risk management settings start with the margin you want to use as average, then you can customize your asset leverage, the risk (which is a value you HAVE to keep the same for all assets to balance the results correctly) and units per lot.
You can increase/decrease risk if you want to, i personally take DAILY values with a 18-20 risk to trade on a 4H chart.
For the "units per lot" take in mind that usually that value is ONE, but in some assets with really low value like currencies or some crypto your broker can set 1 lot to xxxx units, that's why you have that option.
- Usage and recommendations:
As i said i trade from 4H to daily, that's why my risk setting is 18-20, i use the lots plotted in the table on DAILY.
If you're more a scalper, just adjust the timeframes to your needs :)
Enjoy!
============
INGLÉS
============
- Descripción:
Este es un indicador de utilidad, imprime una tabla con ATR, Volatilidad, Lotaje y Margen para 3 temporalidades personalizadas, usando el ATR de base, calcula la volatilidad (%) y un lotaje recomendado dependiendo de tu configuración de riesgo.
Hace unos meses cambié de intercambios crypto (exchanges) a brokers regulados, y trabajar con lotes en lugar de margen simple era un poco dolor de cabeza, también tradeo con crypto, divisas, metales e índices, cada uno con diferente volatilidad, apalancamiento... así que esta herramienta era IMPRESCINDIBLE para mí de programar.
Básicamente, esta herramienta permite mantener el mismo RIESGO para cada activo, sin importar si tienen diferente volatilidad.
- Visual:
El indicador muestra una tabla con toda la información explicada, ATR, Volatilidad...
Para cada temporalidad también imprime 3 períodos, corto, largo y medio, puedes mostrar/ocultar los marcos temporales y los diferentes periodos.
- Personalización:
Los colores de la tabla son personalizados, así como el tamaño de la fuente.
La configuración de la gestión del riesgo comienza con el margen que deseas utilizar como promedio, a continuación, puedes personalizar el apalancamiento del activo, el riesgo (que es un valor que TIENE que mantener igual para todos los activos para equilibrar los resultados correctamente) y las unidades por lote.
Puedes aumentar/disminuir el riesgo si quieres, yo personalmente tomo valores DIARIOS con un riesgo de 18-20 para operar en un gráfico de 4H.
Para las "unidades por lote" ten en cuenta que normalmente ese valor es UNO, pero en algunos activos con valor realmente bajo como divisas o algunas criptomonedas tu broker puede poner 1 lote a xxxx unidades, por eso agrego esa opción.
- Uso y recomendaciones:
Como dije yo opero de 4H a diario, por eso mi ajuste de riesgo es de 18-20, uso los lotes graficados en la tabla en DIARIO.
Si eres más un scalper, sólo tienes que ajustar las temporalidades a tus necesidades :)
¡Que lo disfrutes!
Short vs Long ATRSimple pinescript that compares a long ATR against short ATR and let you define a threshold in %
