Conceptive Price Moving Average [CSM]The Conceptive Price Moving Average (CPMA) is a technical indicator designed to provide a more accurate moving average of the price by using the average of various price types, such as open, close, high, low, etc. The CPMA can help to smooth out the noise and provide a clearer picture of the overall trend by taking the average of the last 3 candles for each price type and then calculating the average of those averages.
To use the CPMA for generating buy/sell signals, you can look for crossovers of the CPMA and other commonly used moving averages, such as the 9-period EMA, 20-period EMA, 50-period EMA, 100-period EMA, and 200-period EMA, which are also plotted on the chart. When the CPMA crosses above a shorter-term moving average, such as the 9-period EMA or 20-period EMA, it can indicate a potential buy opportunity, while when the CPMA crosses below a shorter-term moving average, it can indicate a potential sell opportunity.
Based on my analysis of BankNifty and Nifty, I have found that the CPMA works best at a length of 21, showing good resistance and support for stocks. Therefore, I recommend using a length of 21 when using the CPMA for generating buy/sell signals.
Moving_average
FRAMA and Candlestick Patterns [CSM]FRAMA (Fractal Adaptive Moving Average) is a technical analysis indicator that adapts its smoothing period according to the market's volatility, allowing it to provide accurate signals in all market conditions. This indicator script plots the FRAMA on a chart and generates buy and sell signals based on the FRAMA and candlestick patterns. It also includes an option to filter signals based on bullish and bearish engulfing patterns.
To detect candlestick patterns, the script imports the "BankNifty_CSM" library from the creator's public library on TradingView. The FRAMA calculation is done using a loop that iterates over the last "length" number of bars, with the smoothing factor adjusted based on the "fracDim" parameter.
The buy and sell signals are generated based on the position of the current price relative to the FRAMA line. If the "engulfing" parameter is set to true, the signals are further filtered based on bullish and bearish engulfing patterns.
Overall, this script combines various technical indicators and candlestick pattern recognition to provide a complete trading strategy. However, as with any trading strategy, it should be thoroughly backtested and evaluated before using it in a live trading environment.
Moving Averages SuiteThe Moving Averages Suite is a powerful technical analysis tool that provides traders with unparalleled control over five different moving averages and two special moving average indexes. This suite is designed to provide traders with a comprehensive understanding of market trends and help them make more informed trading decisions.
By default, the Moving Averages Suite displays two special moving average indexes that are made from the moving averages within the suite. These special moving average indexes are specially weighted indexes that are designed to provide a more accurate representation of market trends. The first index is the Moving Average Directional Index (MADI), which measures the strength of the trend in the market. The second index is the Moving Average Oscillator Index (MAOI), which measures the momentum of the trend in the market.
In addition to these special indexes, traders can enable five different moving averages within the suite. These moving averages include the TEMA, HMA, EMA, VWMA, and SMA. Each moving average has a specific purpose and is used to provide traders with a unique perspective on market trends.
The Triple Exponential Moving Average (TEMA) is designed to reduce the lag time associated with traditional moving averages. This moving average places more weight on recent price data, providing traders with a more accurate representation of current market trends.
The Hull Moving Average (HMA) is another moving average that is designed to reduce lag time. This moving average uses weighted averages to provide traders with a more accurate representation of market trends.
The Exponential Moving Average (EMA) is a popular moving average that is used to identify trends in the market. This moving average places more weight on recent price data, providing traders with a more accurate representation of current market trends.
The Volume Weighted Moving Average (VWMA) is another moving average that is used to identify trends in the market. This moving average places more weight on periods of high volume, providing traders with a more accurate representation of market trends during high volume periods.
The Simple Moving Average (SMA) is a widely used moving average that provides traders with a simple and easy-to-understand representation of market trends.
The Moving Averages Suite is a powerful technical analysis tool that provides traders with unparalleled control over five different moving averages and two special moving average indexes. Each moving average within the suite is designed to provide traders with a unique perspective on market trends, allowing them to make more informed trading decisions. Traders who are looking to gain a comprehensive understanding of market trends should consider using the Moving Averages Suite in their trading strategies.
EMA/MA + Super Trend + BBHere is what this indicator does :
1. EMA+SMA moving average system
1. EMA moving average (five in total)
2. SMA moving average (five in total)
3. deduction price
4. EMA/SMA cross prompt: EMA 12//26 cross, or MA14/MA28 cross
5. EMA/SMA parallel prompt: prompt when EMA 12/26/52 is in parallel, or prompt when MA14/MA28/MA 60 is in parallel
Why use EMA 12/26 cross prompt, and MA14/MA28 cross prompt?
Because I backtested BTC based on the winning rate of EMA and MA crossover, its winning rate is higher.
Why use parallel prompt?
Because after the moving averages cross, they will start to be in parallel mode. If you don't see the moving averages be in parallel, it will be a warning sign.
2. Super Trend:
Super Trend is used to assist in judging the current trend.
3. BB Bollinger Bands:
Use the size of the opening to judge whether the major trend is coming.
How to use this indicator? (see chart)
1. Choose EMA or MA, or mix them at the same time
2. Use the Bollinger Bands to find the potential big trend is coming
3. Confirm the trend with Supertrend
4. Use moving averages to confirm crossover and long or short moving average parallel signals
5. The deduction price is used to judge whether the moving average continues to go up or down
Why to do this, why mix them?
1. When the opening of the Bollinger band is very small, it means that the trend is coming
2. Supertrend can help us confirm whether it is an upward or downward trend
3. The crossing and parallel of moving averages can be used as entry trading signals
4. The deduction price is used to judge whether the moving average continues to go up or down
This's why there is a mix of Moving average, Supertrend and BB.
這是這個指標的功能（instructions in Chinese）：
一、EMA+SMA 均線系統
1、EMA 均線（共五條）
2、SMA 均線（共五條）
3、抵扣價：可以五條均線的折扣價位置
4、EMA/SMA 交叉提示：EMA 12/EMA 26交叉 或 MA14/MA28 交叉
5、EMA/SMA 排列提示：EMA 12/26/52 呈排列時提示，或 MA14/MA28/MA 60 排列時提示
交叉定義：
二、Super Trend 超級趨勢：
Super Trend 用來輔助判斷當前趨勢。
三、BB 布林帶：
藉由開口大小判斷大趨勢是否即將來臨。
如何使用這個指標？（見圖表說明）
1、選擇EMA或MA均線，或同時混合使用它們
2、用布林帶尋找潛在大趨勢即將來臨
3、用Supertrend 確認趨勢
4、用均線確認交叉與多頭或空頭均線排列訊號
5、抵扣價用來判斷均線是否持續向上或向下
為什麼要這麼做？
1、當布林帶的開口很小時，說明趨勢即將來臨
2、Supertrend 可以幫助我們確認是向上還是向下趨勢
3、均線的交叉與排列可以作為進場交易訊號
4、抵扣價則用來判斷均線是否持續向上或向下
這就是為什麼要混合使用這幾個指標的原因。
Crypto Uptrend Script + Pullback//Volume CandlesDescription: his is an adaption of my Pullback candle - This works on all timeframes and Markets (Forex//Stocks//)
Crypto Uptrend Script with Pullback Candle allows traders to get into a trend when the price is at end of a pullback and entering a balance phase in the market (works on all markets). The use of Moving averages to help identify a Trends and the use of Key levels to help traders be aware of where strong areas are in the market.
This script can work really well in Crypto Bull Runs when used on HTF and with confluences
The script has key support and resistance zones which are made up of quarterly data. Price reacts to these areas but patience is required as price will take time to come into these areas
I have updated the Pullback Candle with the use of Volume to filter out the weak Pullback Candles -
There are new candles to the script.
The First candle is the Bullish Volume Candle - This candle is set to a multiplier of 2x with a crossover of 50/100 on Volume - this then will paint a purple candle.
Uses of the Bullish Volume Candle:
Breakthrough of key areas // special chart patterns
Rejection of key areas
End of a impulse wave (Profit Takers)
The second candle is a Hammer - I prefer using the Hammers on Higher Timeframes however they do work on all timeframes. .
The third candle is a Exhaustion of impulse downward move.
Uses of this candle - can denote a new trend but has to be with confluence to a demand area // support area or with any use of technical analysis - using this alone is not advised
The fourth candle is a indecision candle in the shape of a Doji - this candle can help identify if the trend is in a continuation or a reversal
This script can work really well in Crypto Bull Runs
Disclaimer: There will be Pullbacks with High Volume (Breakouts) and not go the way as intended but this script is to allow traders to get into trends at good price levels. The script can paint signals in areas where price is too expensive so please do your own due diligence on the markets as this script is to help get into good areas of price
Please leave a thumbs up if you like this script and message me for information on how to use the script.
Seer's HutThis is a strategy based on Exponential Moving Averages or Volume Weighted Moving Averages against Adaptive fib resistance / support level and profit percentage which can be definetly defined by user and targeting small profits(profits will be raised by leverages).
In this strategy, there are predefined values which are collected one by one with statistical background and backtests. This gives an advantage to see which ratios are working better for each symbol. Also this statistics are re-evaluated monthly and if there is a need they are going to be changed with the help of libraries. Also IT IS RECOMMENDED TO USE IN DAILY INTERVAL GRAPHICS!!!!
When we deep dive to strategy, it is based on profit percentages. it is similar to the MOST system. MOST only changes the way with default value of %2. But this hardcoded strategy is not working well with each Symbol.
So this is the point where DC and ADR Statistics are involved.
For Ex. while BTC is suits well with %2, it does not do wonders for RSR or RUNE which is 4-5% for each.
There is 3 options for setting the statistical usage of this indicator.
1. Auto calculated based on 1000 days of ADR and DC
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2. Using Library where statistical values are stored.
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3. User-defined values used. Yeah you read it right. Fully on-demand changes are supported. Which gives freedom to users for setup their own Adaptive FIB and Profit Percentages.
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Based on this 3 options, TP and SL points are calculated on bar closures. Strategy Orders are also shown / raised with the closures.
Ok, system calculates these values but how to read / use them. what is this strategy based on ?
This strategy is mostly looking for minimizing the LOSS in case of any stop. So because of this, in each TP, system gives order signal to close half of the remaining open position.
There are 7 type of orders
OL : Open Long (Close Short and Open Long if in position)
CL 50 : Close Long - %50 of Open Position
CL 100 : Close Long - Close all position
OS : Open Short (Close Long and Open Short if in position)
CL 50 : Close Short - %50 of Open Position
CL 100 : Close Short - Close all position
TP5 : Highest TP reached. Close all position.
Script checks cross of EMA / VWMA and adFib to decide open a position. In reversal / crosses, adFib line had been set to defined Fib. Percentage (FP) level.
For creating the TP points, Profit Percentage (PP) parameter had been used which I briefly introduce at the beginning with the options.
One important topic about this strategy, it is not stacking / pyramiding the positions. Which means, it always calculate one way position. For example we are in the long position after OL signal.
We reached TP values and take profits. Later on due to FP crossing EMA, OS order signal given. This means you have to close all long position and open short position.
But beware. These calculated points are based on given values or calculated regarding to average ADR / DC ratings. For supporting strategy, several methods also had been included in the options.
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These are:
1. MA plotting (Optional 4 EMA, 1WMA) - checking for Golden and Death Cross
2. Bollinger Bands (Length 25 and Multiplier 2.5 set as default. Used in correlation with TEMA)
3. Kama 2 / Kama 5 - Crossing speaks of Trend way
4. TEMA (TEMA 50, VWMA 25 calculations and plotting. Used for TEMA 50 / VWMA 25 / SMA 25 cross checks for weakening or strengthening trend analysis)
5. ATR plotting
6. Chandelier Exit plotting (Widely used for calculating Stop levels in market)
7. PSAR (Widely used for indicating trend reversal)
Also for the ease of use, if the users does not want to plot any values on the graph and just want to see the values there is couple of tables also included.
1. EMA info
2. KAMA info
3. Order info
4. TP/SL info
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Some important notes:
1. To minimize the stop just after the order opening candle in volatile grounds, system prevents to raise new order signals if there is a signal already raised in last 4 candle.
2. if system reach and give close order in one of the TP points (For Ex TP1.), then index goes down and goes up again same TP (above TP1 in scenario) after 4 candle, system gives a close order signal again in the same TP.
3. There is a Profit Factor value had been shown at Order Info table. This information shows how profitable is the setup regarding to given FP and PP values.
In general market conditions, A Profit Factor above 1.50 is considered good enough and above 2.0 it is considered ideal. A strategy with profit factor less than 1.20 suggests too bigger a risk taken for making money.
In some cases automatic ADR and DC calculations are not good enough. so if you want to find a good Profit Factor value, you can change the system automatic calculation to manual value entering and you can see the results directly with in this field.
Sakura 2The oscillator uses an adaptive moving average as input to another RSI oscillator and is designed to provide a way to minimize the impact of corrections on the output of the oscillator without significant lag.
An additional trigger line is present in order to provide entry points from intersections between the oscillator and the trigger line.
I'll be working on the code to add and describe the privileges and the best settings
Settings
=Lengthy : period of the oscillator
=Power : controls the sensitivity of the oscillator to retracements, with higher values minimizing the sensitivity to retracements.
=Src : source input of the indicator
The indicator also includes the following graphical settings:
=Gradient : Determines the color mode to use for the gradient, options include "Red To Green", "Red To Blue" and "None", with "None" displaying no gradient.
=Color fill : Determines whether to fill the area between the oscillator and the trigger line or not, by default "On".
=Circles : Determines whether to show circles highlighting the crosses between the oscillator and the trigger line.
[MiV] MA Screener v1.0In my trading I stick to the following strategy: I buy an asset above the 100/200 moving average and then sell it.
The most problematic thing in all this is to look for assets that are above the 100 or 200 moving average, and to assess how "far" the price is from that moving average.
In fact, to solve this problem I created this indicator.
It works with 30 different assets and displays the state of its two moving averages, whether the price is higher or not, and how much higher the price is from that level.
Smoothing R-Squared ComparisonIntroduction
Heyo guys, here I made a comparison between my favorised smoothing algorithms.
I chose the R-Squared value as rating factor to accomplish the comparison.
The indicator is non-repainting.
Description
In technical analysis, traders often use moving averages to smooth out the noise in price data and identify trends. While moving averages are a useful tool, they can also obscure important information about the underlying relationship between the price and the smoothed price.
One way to evaluate this relationship is by calculating the R-squared value, which represents the proportion of the variance in the price that can be explained by the smoothed price in a linear regression model.
This PineScript code implements a smoothing R-squared comparison indicator.
It provides a comparison of different smoothing techniques such as Kalman filter, T3, JMA, EMA, SMA, Super Smoother and some special combinations of them.
The Kalman filter is a mathematical algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement.
The input parameters for the Kalman filter include the process noise covariance and the measurement noise covariance, which help to adjust the sensitivity of the filter to changes in the input data.
The T3 smoothing technique is a popular method used in technical analysis to remove noise from a signal.
The input parameters for the T3 smoothing method include the length of the window used for smoothing, the type of smoothing used (Normal or New), and the smoothing factor used to adjust the sensitivity to changes in the input data.
The JMA smoothing technique is another popular method used in technical analysis to remove noise from a signal.
The input parameters for the JMA smoothing method include the length of the window used for smoothing, the phase used to shift the input data before applying the smoothing algorithm, and the power used to adjust the sensitivity of the JMA to changes in the input data.
The EMA and SMA techniques are also popular methods used in technical analysis to remove noise from a signal.
The input parameters for the EMA and SMA techniques include the length of the window used for smoothing.
The indicator displays a comparison of the R-squared values for each smoothing technique, which provides an indication of how well the technique is fitting the data.
Higher R-squared values indicate a better fit. By adjusting the input parameters for each smoothing technique, the user can compare the effectiveness of different techniques in removing noise from the input data.
Usage
You can use it to find the best fitting smoothing method for the timeframe you usually use.
Just apply it on your preferred timeframe and look for the highlighted table cell.
Conclusion
It seems like the T3 works best on timeframes under 4H.
There's where I am active, so I will use this one more in the future.
Thank you for checking this out. Enjoy your day and leave me a like or comment. 🧙♂️
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Credits to:
▪@loxx – T3
▪@balipour – Super Smoother
▪ChatGPT – Wrote 80 % of this article and helped with the research
Historical AverageThis indicator calculates the sum of all past candles for each new candle.
For the second candle of the chart, the indicator shows the average of the first two candles. For the 10th candle, it's the average of the last ten candles.
Simple Moving Averages (SMAa) calculate the average of a specific timeframe (e.g. SMA200 for the last 200 candles). The historical moving average is an SMA 2 at the second candle, an SMA3 for the third candle, an SMA10 for the tenth, an SMA200 for the 200th candle etc.
Settings:
You can set the multiplier to move the Historical Moving Average along the price axis.
You can show two Historical Moving Averages with different multipliers.
You can add fibonacci multipliers to the Historical Moving Average.
This indicator works best on charts with a lot of historical data.
Recommended charts:
INDEX:BTCUSD
BLX
But you can use it e.g. on DJI or any other chart as well.
Colorful Moving Averageswhat is Colorful Moving Averages?
This indicator allows you to use your favorite moving averages in their advanced form.
what it does?
It gives you easy access to the following information with a single indicator: the direction and momentum of the price,
rate of change of momentum (acceleration),
time-dependent change in momentum,
and all the other information a moving average provides.
it paints the selected moving average type according to the momentum it has, and also shows the momentum and acceleration values in a table. colors are interpreted as follows: the color of the moving average is red, the momentum is negative; A green color means the momentum is positive, and a yellow color means the momentum is 0. As the momentum changes, the moving average takes on different shades of these 3 colors. how it actually works can be easily understood at a glance.
"Δ" sign indicates momentum compressed between 100 and -100.
"Γ" sign indicates the momentum of the momentum, that is the acceleration. its values are compressed between 100 and -100.
how it does it?
it uses this formulas:
how to use it?
First, select the moving average type you want to use. then set the length and source. Now, with a single indicator, you can observe both the distance of the price from the mean, its instantaneous momentum relative to the last candle by looking at the symbol "Δ", the current change of momentum by looking at the symbol "Γ", and the time-dependent change in its momentum by looking at the colors. you can also see the maximum and minimum points where the momentum is equal to 0.
Mason’s Line IndicatorThe Macon Strategy is an idea conceived by Didier Darcet , co-founder of Gavekal Intelligence Software. Inspired by the Water Level, an instrument used by masons to check the horizontality or verticality of a wall. This method aims to measure the psychology of financial markets and determine if the market is balanced or tilting towards an unfavorable side, focusing on the behavioral risk of markets rather than economic or political factors.
The strategy examines the satisfaction and frustration of investors based on the distance between the low and high points of the market over a period of one year. Investor satisfaction is influenced by the current price of the index and the path taken to reach that price. The distance to the low point provides satisfaction, while the distance to the high point generates frustration. The balance between the two dictates investors’ desire to hold or sell their positions.
To refine the strategy, it is important to consider the opinion of a group of investors rather than just one individual. The members of a hypothetical investor club invest successively throughout the past year. The overall satisfaction of the market on a given day is a democratic expression of all participants.
If the overall satisfaction is below 50%, investors are frustrated and sell their positions. If it is above, they are satisfied and hold their positions. The position of the group of investors relative to the high and low points represents the position of the air bubble in the water level. Market performance is measured day by day based on participant satisfaction or dissatisfaction.
In conclusion, memory, emotions, and decision-making ability are closely linked, and their interaction influences investment decisions. The Macon Strategy highlights the importance of the behavioral dimension in understanding financial market dynamics. By studying investor behavior through this strategy, it is possible to better anticipate market trends and make more informed investment decisions.
Presentation of the Mason’s Line Indicator:
The main strategy of this indicator is to measure the average satisfaction of investors based on the position of an imaginary air bubble in a tube delimited by the market’s highs and lows over a given period. After calculating the satisfaction level, it is then normalized between 0 and 1, and a moving average can be used to visualize trends.
Key features:
Calculation of highs and lows over a user-defined period.
Determination of the position of the air bubble in the tube based on the closing price.
Calculation of the average satisfaction of investors over a selected period.
Normalization of the average satisfaction between 0 and 1.
Visualization of normalized or non-normalized average satisfaction levels, as well as their corresponding moving averages.
User parameters:
Period for min and max (days) : Sets the period over which highs and lows will be calculated (1 to 365 days).
Period for average satisfaction (days) : Determines the period over which the average satisfaction of investors will be calculated (1 to 365 days).
Period for SMA : Sets the period of the simple moving average used to smooth the data (1 to 1000 days).
Bubble_value : Adjustment of the air bubble value, ranging from 0 to 1, in increments of 0.025.
Normalized average satisfaction : Option to choose whether to display the normalized or non-normalized average satisfaction.
Please note that the Mason’s Line Indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Rainbow Collection - VioletMoving averages come in all shapes and types. The most basic type is the simple moving average which is simply the sum divided by the quantity. Therefore, the simple moving average is the sum of the values divided by their number.
In technical analysis, you generally use moving averages to understand the underlying trend and to find trading signals. In the case of the Violet indicator, we are using a Hull moving average which is a special variation based on different weights to minimize lag.
The Violet indicator is therefore used as follows:
* A bullish signal is generated whenever the close price surpasses the 20-period Hull moving average while the previous close prices from periods were all below their respective Hull moving average of the period.
*A bearish signal is generated whenever the close price breaks the 20-period Hull moving average while the previous close prices from periods were all above their respective Hull moving average of the period.
The aim of the Violet indicator is to capture reversals as early as possible through a combination of lagged conditions based on the Fibonacci sequence.
f_maSelectLibrary "f_maSelect"
Easy to use drop-in facade function to lots of different moving average calculations, including some that are not natively available in PineScript v5 such as Zero-Lag EMA. Simply call f_maSelect(series float serie, simple string ma_type="sma", ma_length=14) instead of a ta.*ma() call and you get access to all MAs offered by PineScript and more.
zema(src, len)
Zero-lag EMA (ZLMA)
Parameters:
src : Input series
len : Lookback period
Returns: Series smoothed with ZLMA
approximate_sma(x, ma_length)
Approximate Standard Moving Average, which substracts the average instead of popping the oldest element, hence losing the base frequency and is why it is approximative. For some reason, this appears to give the same results as a standard RMA
Parameters:
x : Input series.
ma_length : Lookback period.
Returns: Approximate SMA series.
f_maSelect(serie, ma_type, ma_length)
Generalized moving average selector
Parameters:
serie : Input series
ma_type : String describing which moving average to use
ma_length : Lookback period
Returns: Serie smoothed with the selected moving average.
generalized_dev(src, length, avg, lmode)
Generalized deviation calculation: Whereas other Bollinger Bands often just change the basis but not the stdev calculation, the correct way to change the basis is to also change it inside the stdev calculation.
Parameters:
src : Series to use (default: close)
length : Lookback period
avg : Average basis to use to calculate the standard deviation
lmode : L1 or L2 regularization? (ie, lmode=1 uses abs() to cutoff negative values hence it calculates the Mean Absolute Deviation as does the ta.dev(), lmode=2 uses sum of squares hence it calculates the true Standard Deviation as the ta.stdev() function does). See also the research works of everget:
Returns: stdev Standard deviation series
generalized_dev_discount(src, length, avg, lmode, temporal_discount)
Standard deviation calculation but with different probabilities assigned to each bar, with newer bars having more weights en.wikipedia.org
Parameters:
src : Series to use (default: close)
length : Lookback period
avg : Average basis to use to calculate the standard deviation
lmode : L1 or L2 regularization? (ie, lmode=1 uses abs() to cutoff negative values hence it calculates the Mean Absolute Deviation as does the ta.dev(), lmode=2 uses sum of squares hence it calculates the true Standard Deviation as the ta.stdev() function does). See also the research works of everget:
temporal_discount : Probabilistic gamma factor to discount old values in favor of new ones, higher value = more weight to newer bars
Returns: stdev Standard deviation series
median_absdev(src, length, median)
Median Absolute Deviation
Parameters:
src : Input series
length : Lookback period
median : Median already calculated on the input series
Returns: mad, the median absolute deviation value
Blocky's EMA RibbonA classic EMA ribbon setup.
The script uses eight EMAs, with default lengths ranging from 21 to 55 periods, with an additional EMA with a default length of 200 periods.
The lengths of the EMAs can be customized, when customizing, the shortest time frame should be first and the longest time frame last.
The ribbons gradient strength is calculated based on the EMA's sequence, and their separation.
The color and transparency are set based on the calculated strength. The bolder the color, the stronger the strength.
Use the opacity multiplier to increase/decrease the strength of the gradient. BITSTAMP:BTCUSD
Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
Rainbow Moving AverageA Rainbow Moving Average script. There are many like it, but this one is mine. It is designed to be easy to read without too much noise in the number of lines and shading, with the moving average to be some of the commonly used ones. Using commonly referenced moving average values help us to understand "the crowd" and what moving average or trend lines they might be looking at. The default values are derived from hourly charts, but work well on any time frame.
The moving average function is simple to change so you can use it for any moving average type that you like, including volume-weighted.
Inspired by my daughter's love of rainbows, she has approved the colors.
Rekt Edge Reversion BandRekt Edge Reversion band is a technical indicator that utilizes a combination of moving averages and standard deviations to determine optimal entry and exit points in the market. By comparing the current price to its moving average, the indicator identifies potential trends and determines how you can position around them by plotting buy/sell signals and two channels based on user input parameters. The user can choose between Simple Moving Average ( SMA ) or Exponential Moving Average ( EMA ) and select the moving average period, the unit of separation, the multiples of the unit, and other important parameters. The indicator's inputs can be adjusted to suit different trading styles, and it can be used on any time frame. The indicator can be used to identify potential trend reversals or breakouts (or breakdowns) when the price moves outside of the channels. The indicators potential use cases include identifying overbought or oversold conditions. With its ability to provide a clear signal on when to enter and exit a trade, this indicator is a popular tool among traders looking to make more informed and profitable trading decisions. This indicator can also be used in conjunction with other technical analysis tools to confirm or invalidate trading signals.
Customizable Moving Average RibbonThis indicator is a highly customizable moving average ribbon with some unique features.
This script can utilize multiple unique sources, including a non-repainting renko closing price. Renko charts focus solely on price movement and minimize the impacts of time and the extra noise time creates. Employing the renko close helps smooth out the MA ribbon. Insignificant price movements will not cause a change in the plotted lines of the indicator unless a new threshold is breached or a "brick" is created. This is highly useful for quickly identifying consolidation areas or overall flat price movement.
There are two methods for selecting the box size when utilizing the renko source. Box size is critical for the overall function and efficacy of the plots you will visually see with this indicator. Box size is set automatically using the Average True Range "ATR" or manually using the "Traditional" setting. The simplest way to determine a manual box size is to take the ATR of the given instrument and round it to the nearest decimal place. As an example, if the ATR for the asset is 0.18, you would round that number to 0.2 and utilize this as your traditional box size.
The MA ribbon contains eleven adjustable moving average lines. Users can choose to turn off as many as they would like. Users can also adjust the length of the individual moving averages and the source for all moving averages. There are nine types of moving averages to choose from for the ribbon. The MA options are:
Exponential Moving Average = 'EMA'
Double Exponential Moving Average= 'DEMA'
Triple Exponential Moving Average = 'TEMA'
Simple Moving Average = 'SMA'
Relative Moving Average = 'RMA'
Volume Weighted Moving Average = 'VWMA'
Weighted Moving Average = 'WMA'
Smoothed Simple Moving Average = 'SSMA'
Hull Moving Average = 'HULL'
We believe that the ribbons features, including the line color change, help quickly identify trends and give users optimum customization. Users can select from five different color schemes including:
Green/Red
Purple/White
White/Blue
Silver / Orange
Teal/ Orange
MA Band Distance Monitor'MA Band Distance Monitor' indicator is a simple tool for traders who rely on moving averages to make trading decisions. This indicator plots two moving averages of your choice (you can select the type of the moving average), and fills the space between them, creating a "band".
The indicator also generates a table that displays the current price distance from both the fast and slow moving averages, as well as the average of the two. This allows you to quickly assess the strength of the trend and potential entry or exit points.
In addition, the table also shows the average price distance from one to another MA and also the current distance between them, allowing you to compare the current price action to the historical average. This information can help you identify potential trend reversals and assess the overall health of the market.
*** Slow length input must be greater than fast length input, otherwise indicator will produce faulty results
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.
VHF Adaptive Linear Regression KAMAIntroduction
Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it.
KAMA:
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements.
VHF:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Linear Regression Curve:
A line that best fits the prices specified over a user-defined time period.
This is very good to eliminate bad crosses of KAMA and the pric.
Usage
You can use this indicator on every timeframe I think. I mostly tested it on 1 min, 5 min and 15 min.
Signals
Enter Long -> crossover(close, kama) and crossover(kama, kama )
Enter Short -> crossunder(close, kama) and crossunder(kama, kama )
Thanks for checking this out!
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Credits to
▪️@cheatcountry – Hann Window Smoohing
▪️@loxx – VHF and T3
▪️@LucF – Gradient
Jerry J8 30-123 Spy Dashboard ProPlease watch the J8 Scalping Tutorial Video below for a walkthrough on how these indicators work.
This script is used in conjunction with Jerry J8 30-123 SPY Scalping PRO” Indicator(which creates the buy and sell orders as a strategy). The Dashboard shows the 4 main criteria statuses from the strategy. I find the dashboard makes scalping the SPY much easier.
This study project is designed for scalping options that expire daily with bull put and bear call credit spreads on a 3 minute chart. The name 30_123 is a reference to 4 main criteria being met to give a green light for a potential trade. The criteria:
* 30 = 30 minute trend
* 1 = 3 minute trend
* 2 = Moving average criteria
* 3 = RSI criteria
4 = Secondary trend. Bonus if in sync but not a requirement.
* The strategy also utilizes momentum as a criteria but this is not shown on the dashboard.
This indicator is designed to trade options that expire daily including the SPY, IWM, QQQ, and NDX. However, it can be used with multiple symbols on a 3 minute chart.
When the 30_123 conditions are all green with all criteria are met a bull signal is created.
When the 30_123 conditions are all red with all criteria are met a bear signal is created.
This study is the dashboard that is designed to show how the main J8 strategy indicator is working and it shows which criteria have been met. Additionally there are multiple user INPUTS that you can adjust for the 4 main criteria plus inputs to help you with your credit spread criteria.
For example, if the SPY is at 400 we could have an order to sell a BULL PUT CREDIT SPREAD and I would likely sell the 398p and buy the 397p; The 398p delta would be approximately -.2. The spread position profits with any close over 398 and/or can be closed early with a bullish price move. IMPORTANT: If the SPY closed the day at $399 on the chart it would look like a loss based on the buy and sell orders but the spread would be a full profit since the close was above 398.
---- IRON CONDOR
For the SPY ticker only an iron condor label is generated when the SPY is trading sideways and meets specified criteria. When the criteria is met the Iron Condor label appears and it provides a recommendation for what option to buy and sell. The iron condor recommendations can be adjusted with user inputs.
This Indicator dashboard shows the criteria labels and colors the criteria as green if bullish and red if bearish. When the criteria are not met the dashboard shows “NO CLEAR SIGNAL”. There is also a label that shows whether you are looking for bullish or bearish positions based on the 30 minute trend.
The chart shown on the indicator is the RSI and for this indicator an RSI over 50 is bullish and under 50 is bearish. The line color shows the RSI trend. RSI OB (overbought) and OS (oversold) areas are shaded. The RSI can remain in an OB or OS state for a prolonged period and while some people use OB and OS as a reversal signal I use it as a strong trend indication and recognize it will not last forever. You can SET the OB and OS levels with inputs.
---- USER INPUTS
Paint Bars: Turns on/off the candle coloring. Default is OFF.
Iron Condor Settings: Defaults are what I use and can be used as a guide.
Criteria: Trend, moving averages, and RSI settings can all be adjusted.
---- SETUP & HINTS
Add "Jerry J8 30-123 SPY Scalping PRO” indicator to show bull and bear signals
Add "Jerry J8 MACD Optimal Entry Zone” indicator to show best MACD range for entry
I also like to add "Jerry Momentum Dream" indicator to see the momentum
With this indicator we’re looking for the 30, 1, 2, and 3 criteria to be met which increases our likelihood of success. IMPORTANT. Never automatically enter a position without reviewing the other indicators and drawing your own conclusions. You want to choose the entries that are the most appealing to you that take into account volume, time of day, and risk/reward. Positions should be closed based on your risk/reward goals.
Indicators are not a magic pill and should be used to support trading decisions, not to make them for you. Past performance is not a guarantee of future returns. The results of individual stocks/indexes with any strategy do not constitute proof they will repeat in the future.
DISCLAIMER: The information contained in our scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. Trading and investing in the stock market and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. I’m NOT a financial adviser. All trading strategies are used at your own risk.
Please Use the AUTHOR’s INSTRUCTIONS link below for more information.
NOTE: The PERFORMANCE SUMMARY below does not accurately reflect the trading strategy because the entry orders generated in the strategy are based on the stock price and our actual order is a credit spread that is profitable even if the price moves against us a little bit. What could show as a loss in the strategy could be a profit in the credit spread.
