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
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:
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.
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.
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.
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.
Short vs Long ATRSimple pinescript that compares a long ATR against short ATR and let you define a threshold in %
ATR+This is an indicator which uses the ATR (average true range) to calculate take profit levels, stop loss levels, and position sizing.
It acts an ATR indicator, based on concepts found in the No Nonsense Forex (NNFX) trading system.
ATR works by looking at the past N periods (14 by default) to see on average, how many pips or dollars an asset has moved. It is widely used by itself or as part of another indicator.
This script also implements money/risk management to determine:
Take Profit : 1.00x ATR (default)
Stop Loss : 1.50x ATR (default)
Risk : 2% of account size (default)
Position Sizing : How many lots/shares/units you need to achieve the indicated risk
Trade Value : The total cost of the lots/shares/units
This indicator only displays information in the status line. It does not guarantee a successful trade, and is only intended to be used to calculate take profit and stop loss levels, or as a point of reference when entering trades. Always do your own research.
Average Range @coldbrewroshTaking the average daily range from low to high or high to low isn't the "best" way to get an idea of how much to set targets. So, I made this indicator to make the system better.
This indicator calculates the daily range from Open to High on Bullish Days & Open to Low on Bearish Days .
Nobody can catch the absolute low of the day on bullish days and get out at the high but one can enter at a reasonable price around the open ( 17:00 EST ) .
To complement the Average Range, another table shows the movement in the opposite direction.
For Instance: On Bullish Days how much it moved from Open to Low so that we have an idea of where to put the stop loss and vice versa. The time ranges calculated are the last 5 days, last 1 month, last 3 months & last 1 year.
Note #1: Even though the date range is predefined, it has a different meaning. For Instance: date range of last 5 days means "calculation of the range of last 5 bullish daily candles & not last 5 days" .
Note #2: Exclusive to Forex at the time of posting this.
Super 8 - 30M BTCWelcome to Super 8, the ultimate automatic trading script for Pine!
This bad boy is designed to go both long and short, and it's equipped with all the tools you need to maximize your profits. Whether you're looking to take profit, set a trailing stop, or protect yourself with a stop loss, Super 8 has you covered.
But that's not all! Super 8 is also loaded with 8 powerful indicators to help you make informed decisions. We've got the EMA, ADX, SAR, MACD, VOLUME, BOLLINGER BANDS, DONCHIAN, and ATR all working together to give you the best possible trading experience.
And if you want to take it to the next level, Super 8 also has a feature that lets you use stepped entries in normal mode or incremental 1,2,3,... to improve your average price. Plus, if you're using trailing stop, you can activate the Backtest precision to use lower timeframes.
But what's in a name? Super 8 is called that because it's just that... super! It's tailored specifically for the OKX:BTCUSDT.P pair, so you know you're getting the best possible results. it's highly adjustable and can be used with any other pair. So no matter what market you're trading in, Super 8 has got you covered.
So if you want to level up your trading game, give Super 8 a try. You won't be disappointed.
Certain Risks of Live Algorithmic Trading:
Backtesting Cannot Assure Actual Results.
The relevant market might fail or behave unexpectedly.
Your broker may experience failures in its infrastructure, fail to execute your orders in a correct or timely fashion or reject your orders.
The system you use for generating trading orders, communicating those orders to your broker, and receiving queries and trading results from your broker may fail.
Time lag at various point in live trading might cause unexpected behavior.
The systems of third parties in addition to those of the provider from which we obtain various services, your broker, and the applicable securities market may fail or malfunction.
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.
Big Poppa Code Strat & Momentum Strategy IndicatorThis indicator is a combination of a few things in order to work with a unique trading style gleaned from Callme100k, jrgreatness, TrustMyLevels , FaithInTheStrat, Rob Smith and Saty Mahajan.
This Indicator is created to help you day trade using, ATR Fibonacci Levels, Price Action and Momentum.
It displays Fibonacci Levels Based on ATR to indicate when a security is 0.236, 0.382 +- the Days Open, +- the Days Open, 0.618 +- the Days Open and 1.0 +- Days Open.
To understand this script you need to understand
Average True Range (ATR)
1 Bar Inside Bar
2 Bar Outside Bar (Break either the top or bottom)
3 Bar Engulfing Bar
Strat Setups - 212, 322, 312
Fibonacci - 0.236, 0.382, 0.618, 1.0
Moving Averages
A Trend is considered bullish when (green)
Current Price is greater than the Fast EMA Value (8)
Fast EMA is greater than PIVOT EMA Value (21)
Pivot EMA is greater than SLOW EMA Value (34)
OR Hull is trending up and the Price is above the Volume Weighted Moving Average and price is above VWAP
A trend is considered Bearish when (red)
Current Price is less than the Fast EMA Value (8)
Fast EMA is less than PIVOT EMA Value (21)
Pivot EMA is less than SLOW EMA Value (34)
OR Hull is trending down and the Price is below the Volume Weighted Moving Average and price is below VWAP
If these conditions are not met then the Momentum is in Conflict (orange)
The Momentum band will match the color of the current trend
The table that is present can be turned off at any time lets you see
1) If Moving Averages are showing bullish, bearish or in conflict
2) If There us Time Frame Continuity, (if 5 min up, are all the other timeframes up also)
3) How much of the ATR have we moved on the day
4) Are we in Call or Put range for the day based on ATR Fib Levels
The Ideal situation for entering a call
1) Momentum is Green
2) FTFC on Green
3) A Strat Actionable Signal is present
4) You are in the call range, 0.236 - 0.618 ATR + the Price
5) The ATR still has room, I.e only 50% of the ATR has been run already
Ideal situation from entering a put
1) Momentum is red
2) FTFC on Red
3) A Strat Actionable Signal is present
4) You are in the put range, 0.236 - 0.618 ATR - the Price
5) The ATR still has room, I.e only 50% of the ATR has been run already
Exit the trade for these reasons you entered (for profit or loss)
1) ATR has no more room
2) FTFC is now in conflict
3) Momentum has shifted
Take Profit when
1) You reach a new ATR Level 0.618, 1.0 , -0.618, -1, etc
Passive Stop Loss
1) Open Price if you are aggressive
2) Next ATR Level Down or Up
Feel free to take profit and leave runners
This script does not give signals, you should do your own research, I am not a financial advisors, I am simply applying principles of seasoned veterans to code. You make all decisions about how you buy, sell and trade. The creator of this script makes no promises and takes no responsibility for your personal trading.
To research the methods described above look up
Rob Smith : The Strat
Saty Mahajan : ATR Levels
Fibonacci
Using the HULL Moving Average
Exponential Moving Averages
VWAP
VWMA
FBMAEN:
TradingView indicator for FBMA strategy
People oftem ask: “Dmitry, BABA, TSLA, AAPL flies like a rocket! Well, what are we buying!?” - And I say no, the price does not act like a straight rocket upwards or downwards, instead it breathes, inhales moving away from the moving average and exhales returning to it, so we will wait for the first pullback and buy exactly at the value of the moving average.
Your new paradigm: wait for the stock to pull back to the moving average rather than chasing the price
And one more thing... Remember, you don't want to buy a stock when it's going down, you'll start to have doubts. it's against human nature to go long when the price is falling, but that's why this strategy works so well. We buy on the price rollback (pullback to the moving average), but we DO IT WHILE FOLLOWING THE TREND.
The biggest consequence of this strategy, my author's FBMA strategy and this is a game changer (results are in the comments).
So, let's dive into FBMA indicator settings:
Main settings
ATR Period — Period of intergrated ATR Indicator(shows ATR in a small dashboard);
Settings of Moving Averages
Sign Moving Averages? — shows values of moving averages near their lines on the chart;
Fix MAs' signatures overlapping? — automatically MAs' signatures overlapping (specifically for SMAs and EMAs!) ;
Fix MAs' signatures overlapping between SMAs and EMAs? — automatically group overlapping between EMAs' and SMAs' signatures;
Min distance between MAs' signatures (in % of ATR) — minimal distance between MAs' signatures that indicator will push away MAs' signatures from each other if they are overlapped;
Dashboard
Dashboard position — position of dashboard on the chart ( 9 options ).
Settings of MAs
Source;
Period;
Option for showing EMA and/or SMA of chosen period and source;
Line colour ;
Signature colour .
Addons
Show data by selected timeframe? — shows difference of current price opening and opening a "timeframe" time ago;
Shows MAs only if asset has grown by selected growth % in selected timeframe?
Growth, % — percent, which asset has to gain in order for MAs to be plotted;
Timeframe — frequency with which price's current and previous opening are being will be compared;
Show analog MAs' signatures? — shows MAs' value in a small table;
Show cloud between 1st and 2nd MAs? — shows cloud for both EMAs and SMAs simultaneously).
Price Action
This settings are intuitively understandable
Feel free to leave your questions or suggestions in the comments!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt.
RU:
Индикатор TradingView для стратегии ПООС
Мне часто пишут в личку: “Дмитрий, BABA, TSLA , AAPL летит ракетой! Ну что покупаем!?”- А я говорю нет, цена не летит по прямой ракетой вверх, она дышит, делает вдохи отдаляясь от скользящей и выдохи возвращаясь к ней, поэтому мы дождёмся первого пуллбэка и купим точно на значении скользящей
Ваша новая парадигма: ждать акцию на пуллбэке к скользящей по тренду, а не гнаться за ценой
И ещё… Помните, вы не захотите покупать акцию в момент, когда она падает, вы начнете сомневаться т.к. это против человеческой природы заходить в лонг при падении цены, но именно поэтому эта стратегия работает так эффективно, т.к. мы покупаем на откате цены (пуллбэке к скользящей), но ПО ТРЕНДУ
Самое большее следствие из этой стратегии, моя авторская стратегия ПООС и это гейм-чейнджер (результаты в комментариях).
Итак, давайте посмотрим сами настройки индикатора:
Основные настройки
ATR Period — период интегрированного индикатора ATR (показывает ATR на небольшой панели);
Настройки скользящих средних
Sign Moving Averages? — показывает значения скользящих средних рядом с их линиями на графике;
Исправить перекрытие сигнатур МА? — автоматически сигнатуры СС перекрываются (специально для SMA и EMA!) ;
Исправить перекрытие сигнатур МА между SMA и EMA? — автоматически группировать перекрытие между сигнатурами EMA и SMA;
Минимальное расстояние между сигнатурами скользящих средних (в % от ATR) — минимальное расстояние между сигнатурами скользящих средних, при котором индикатор будет отталкивать сигнатуры скользящих средних друг от друга, если они перекрываются;
Панель управления
Dashboard position — положение таблицы на графике ( 9 вариантов ).
Настройки МА
Source;
Период;
Опция отображения EMA и/или SMA выбранного периода и source;
Цвет линии ;
Цвет подписи .
Дополнения
Показать данные по выбранному таймфрейму? — показывает разницу текущей цены открытия и цены открытия в прошлом, по времени равному величины параметра "Таймфрейм";
Показывает MA только в том случае, если актив вырос на выбранный % роста за выбранный период времени?
Прирост, % — процент, на который актив должен набраться, чтобы скользящие средние были построены;
Таймфрейм — частота, с которой будет сравниваться текущее и предыдущее открытие цены;
Показать сигнатуры аналоговых МА? — показывает значение МА в небольшой таблице;
Показать облако между 1-й и 2-й скользящими средними? — показывает облако для EMA и SMA одновременно).
Price Action
Эти настройки будут интуитивно понятны
Оставляете свои вопросы и предложения в комментариях, всё учтём!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt.
AutoLevelsAuto Levels is a Work in progress.
It is based on the previous days ATR and the current days opening tick.
It takes that info and uses Fibonacci to automatically draw key levels for the day.
I have added the BULL BAR ( Green bar ) and Bear Bar ( Red Bar ) to signal as a Go Long / Go Short line in the sand.
The Tan bars are also proven key "Take Profit" levels.
These are, on average, major points of reversals, dip buys or consolidation.
I use this on the 5min timeframe and a close above or below a key level is my signal and direction. Auto Levels have proven to be a great indicator of major support and resistance.
[-_-] Volatility Calibrated ATRDescription:
An indicator based on ATR adjusted for volatility of the market. It uses Heikin Ashi data to find short and long opportunities and displays a dynamic stop loss level. Additionally, it has alerts for when the trend changes (which is an entry signal).
How it works:
It works by dynamically calculating the Period for ATR which depends on current volatility level that is calculated by a function that uses Standard Deviation of price. ATR is then smoothed by Weighted Moving Average and multiplied by ATR Factor, resulting in a plot that changes its colour to red when we're in a downtrend and green when in an uptrend. This plot should be used as a dynamic Stop Loss level. Trend change is determined by price crossing the dynamic Stop Loss level. The squared red and green labels appear when the trend changes, and should be used as Entry signals.
Parameters:
- Source -> data used for calculations
- ATR Factor -> higher values produce less noise and longer trends, lower values give more signals
Correlated ATR Bands | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
It is highly recommended to use this indicator on the 15m timeframe and above, try experimenting with the inverse feature and multipliers as well.
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.
When price is above the upper band this may indicate a bearish reversal.
When price is below the lower band this may indicate a bullish reversal.
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 and bands by taking the average of 2 types of MA's combined with custom ATR's, then multiplying these by correlation factors.
Bands to indicate possible trend reversals when price crosses them.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Final value is calculated using the following formula:
correlation * atr + (1 - correlation) * nz(atr , atr)
3 — Moving average is calculated with the following formula:
ta.hma((1-(correlation/100*(1+weight/10)))*(ta.sma(source+value, smoothing)+ta.sma(source-value,smoothing))/2,flength)
4 — Bands calculation using multipliers.
