Weighted Deviation Bands [Loxx]What are Weighted Deviation Bands?
Variation of the Bollinger bands but it uses linear weighted average and weighted deviation via Mladen Rakic.
What is Weighted Deviation?
This weighted deviation is a sort of all linear weighted deviation. It uses linear weighting in all the steps calculated (which makes it different from the built in deviation in a case when linear weighted ma is used in the ma method). It is more responsive than the standard deviation
Included
Bar coloring
Bande di Bollinger (BB)
Fibonacci Volatility BandsFibonacci Volatility Bands are just an alternative that allows for more margin than regular Bollinger Bands. They are created based on an average of moving averages that use the Fibonacci sequence as lookback periods.
The use of the Fibonacci Volatility Bands is exactly the same as the Bollinger Bands.
BB Running Away CandleHello,
here is an indicator that can be helpful for your trading that is simple and easy to use.
Our culprit here is a candle that opens and closes below the lower band of Bollinger Band, Black and red lines are put on the high and low of that candle.
Green Arrows are happening when:
1- When candle closes above the black line and Stochastic RSI is in the oversold area >> "Confirmed B"
2- When candle closes above the black line >> "B"
Note that you can choose from the settings whether you want it confirmed or not.
Red Arrows are happening when:
1- Price reached the higher band of Bollinger Bands >> "BB High"
2- Stochastic crosses down from above 80 level >> "Stoch Crossdown"
3- RSI reached above 70 levle >> "RSI Oversold"
Note that you can choose to turn these on or off from the settings.
Settings of indicators are set to default.
NOTE: Alerts are put there however i didn't get the chance to test them, so would like to hear your feedback about them.
THE USE OF THIS INDICATOR IS YOUR OWN RESPONSIBILITY.
wishing you the best.
Faytterro Bandswhat is Faytterro Bands?
it is a channel indicator like "Bollinger Bands".
what it does?
creates a channel using standard deviations and means. thus giving users an idea about the expensive and cheap zones. It uses a special weighted moving average different from standard bollinger bands, it also averages not only price but also deviations.
how it does it?
it uses this formulas:
how to use it?
its usage is the same as "bollinger band".
length represents the number of candles to be taken into account, source represents the source of those candles and stdev represents the coefficient of the standard deviation.
you can use it with other indicators:
Bollinger Bands SignalsDescription:
This indicator works well in trendy markets on long runs and in mean-reverting markets, at almost any timeframe.
That said, higher timeframes are much preferred for their intrinsic ability to cut out noise. The example chart is in 3H TF.
Be mindful, the script shows somewhat erratic jigsaw-like behaviour during consolidation periods when the price
jumps up and down in indecision which way to go. Fortunately, there are scripts out there that detect such periods.
You can choose between 4 Moving Averages, Vidya being the default. Period, Deviation and Bands Width parameters
all of them affect the signal generation.
For the Pine Script coder this script is pretty obvious.
It uses a standard technical analysis indicator - Bollinger Bands - and appends it with a 'width' parameter and
a signal generation procedure.
The signal generation procedure is the heart of this script that keeps the script pumping signals.
The BB width is used as a filter.
You can use this procedure in your own scripts and it will continue generate signals according to your rules.
RSI TREND FILTERRSI TREND Filter on Chart
RSI scaled to fit on chart instead of oscillator, Trend Analysis is easy and Hidden Divergence is revealed using this indicator. This indicator is an aim to reduce confusing RSI Situations. The Oversold and Overbought lines help to determine the price conditions so its easy to avoid Traps.
Oversold and Overbought conditions are marked on Chart to make it useful to confirm a Buy or Sell Signals.
RSI 50 level is plotted with reference to EMA50 and Oversold and Overbought Conditions are calculated accordingly.
Uptrend: RSI Cloud / Candles above RSI 50 Level
Down Trend: RSI Cloud / Candles below RSI 50 Level
Sideways : Candles in the Gray Area above and below RSI 50 Level
Default RSI (14) : is the Candlestick pattern itself
Disclaimer: Use Solely at your own Risk.
Squeeze Range: Bollinger Bands / Keltner Channels [Whvntr]Presenting Squeeze Range: Bollinger Bands / Keltner Channels
TTMSqueeze method is a volatility and momentum indicator introduced by John Carter of Simpler Trading, which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range.
How did I make this indicator? The Bollinger Bands & Keltner Channels base scripts are from the standard indicators of their class in the Technicals section... I made this indicator first then noticed there were 3 others with a similar concept, but this differs in it's unique features and application of the TTMSqueeze strategy. This indicator plots the True Range of the Keltner Channel (Customizable in 'Bands Style" in the Inputs Menu) the instances the Bollinger Bands are within the range of the Keltner channel (the market just entered a squeeze).
Featuring: customizable Moving Averages
1. Exponential (Default for both BB & KC)
2. Simple
3. RMA (MA used in RSI )
Keltner channels have a multiplier of 2 & 3 on the Chart (3 being the outer).
How do I use this indicator? Once the teal dots are inside the solid red lines this would indicate that TTMperiod of low market volatility (the market is preparing itself for an explosive move up or down). Do some research and study how to use the TTMSqueeze method by John Carter. Disclaimer: not a guarantee of future favorable results.
Exponential Bollinger Bands (EBB)This script is a variation of the popular Bollinger Bands indicator, which uses exponential moving averages (EMA) instead of simple moving averages (SMA) as its core calculation. The indicator is designed to provide a visual representation of volatility, with the distance between the upper and lower bands being determined by the standard deviation of the underlying data.
The script starts by defining a number of helper functions that are used to calculate the moving averages and standard deviations required for the indicator. The first helper function is sma(), which calculates the simple moving average of the input data over a specified length. This function uses linear interpolation to smooth the data when the length is not an integer. The stdev() function calculates the standard deviation of the input data using the simple moving average calculated by the sma() function.
The bes() function calculates the exponential moving average of the input data over a specified length. The estdev() function calculates the standard deviation of the input data using the exponential moving average calculated by the bes() function.
The estdev function calculates the standard deviation using an exponential moving average method, rather than the traditional simple moving average method used by the stdev function. The exponential moving average method gives more weight to recent data, which can make the estdev more responsive to recent changes in volatility. This can make it more useful in certain types of analysis, such as identifying trends in volatility. Additionally, it also uses the same EMA algorithm to calculate the average value of the data set, which can help to keep the output of the estdev and average functions consistent.
The script also defines two more helper functions, average() and standard_deviation(), which allow the user to switch between using simple moving averages (SMA) and exponential moving averages (EMA) as the basis for the indicator. These functions take three arguments, the input data, the length of the moving average, and a string that specifies whether to use SMA or EMA.
The script then defines the input parameters for the indicator. The user can choose whether to use SMA or EMA as the basis for the indicator using the select parameter. The user can also specify the length of the moving average and the multiplier for the standard deviation using the length and multiplier parameters, respectively.
Finally, the script calculates the average and standard deviation of the input data using the selected method (SMA or EMA), and plots the upper and lower bands of the indicator. The upper band is calculated as the average plus the standard deviation multiplied by the specified multiplier, while the lower band is calculated as the average minus the standard deviation multiplied by the specified multiplier.
Volume Weighted Standard Deviation (VWSD)The Volume Weighted Standard Deviation indicator is a custom technical analysis tool that uses the volume of trading to calculate the standard deviation of a stock's price. This indicator takes the source of data, the length of data, and the deviation as inputs, and calculates the volume weighted standard deviation using the values.
The indicator first calculates the mean price and mean volume by using simple moving average over the given length of data. Then it calculates the squared difference between the mean price and the actual price, multiplied by the volume. This gives a volume-weighted squared difference. The indicator then calculates the square root of the sum of the volume-weighted squared differences divided by the sum of the volumes over the given length of data. This gives the volume weighted standard deviation.
The indicator then plots the standard deviation and deviation as a band around the simple moving average of the source data, providing a clear view of the volatility of the stock.
In summary, the Volume Weighted Standard Deviation indicator is a powerful tool for measuring the volatility of a stock by taking into account the volume of trading. It uses the volume of trading to calculate the standard deviation of a stock's price, giving a more accurate representation of the volatility of the stock. It can be useful for traders to identify entry and exit points and make more informed trading decisions.
Average Deviation Bands (ADB)The Average Deviation Bands indicator is a technical analysis tool that plots multiple bands around the average price of an asset. These bands are calculated using the standard deviation of the asset's price over a specified time period, as well as the average price of the asset over the same period. However, it's important to note that the standard deviation is only calculated for the specified time period leading up to the current point in the data set. The indicator then takes the average of all of these standard deviation values to plot the bands. The number and width of the bands can be customized by the user. The bands can be used to identify potential trend changes and to assess the volatility of the asset. The indicator is often used in combination with other technical analysis tools to provide a more complete picture of market conditions.
Fibonacci Bollinger Bands (FBB)The Fibonacci Moving Average (FMA) is an indicator for financial markets that is calculated using the Fibonacci sequence and the metallic mean. The metallic mean is a type of average that is calculated by adding the source and the square root of the sum of the square of the source and 4, and then dividing the result by 2. The FMA is then calculated by using the metallic mean of the source as the weight for each period in the given length, and summing these weighted values. The standard deviation of the metallic mean of the source is also calculated using the FMA over the given length.
Users can input the source data and the length for the FMA calculation, as well as a series of boolean values to determine which levels of the FMA to plot on the chart. The levels include the standard deviation of the metallic mean of the source, as well as various multiples of the Fibonacci ratios between 0 and 2.618. The resulting FMA and standard deviation values can be plotted on the chart to help traders identify trends and potential entry and exit points in the market.
Double RSI + BBRSI stands for Relative Strength Index.
Bollinger Bands stands for a channel open by standard deviation values plotting upper, lower lines.
Double RSI with Bollinger bands adapted Bollinger bands to RSI not using overlay mode. It tries to filter fake signals while giving more good signals according to volatility even below overbought areas or above oversold areas. This way you can use greater values for RSI, like 25 and 100, increasing smoothness with less market noise.
We added an extra gap spacer to smooth Bollinger bands while widening the channel with a lower multiplier.
I found better results when Fast RSI crosses back into Bollinger bands channel.
You can play with the following settings:
• Source
Close is the most used
• Fast RSI length
Default to 25
• Slow RSI length
Default to 100
• RSI Smoothing
To filter out some graphic noise
• RSI Overbought, Oversold
Regular overbought, oversold lines handled by a single value. For 70/30, set it to 20 although with longer RSI something around 15 is enough.
• Bollinger Spacer
Ads thickness to the channel with lower multiplier
• Bollinger Length
Regular Bollinger length applied to slow RSI
• Bollinger Multiplier
Regular Bollinger multiplier applied to slow RSI
Disclaimer:
For study purposes only, trading without a good risk management can be regrettable, do your own research, always add confirmations, use it as is, at your own risk.
Volume Weighted Hull Moving Average Bollinger Bands (VWHBB)Title: "Volume Weighted Hull Moving Average Bollinger Bands Indicator for TradingView"
Abstract: This script presents a TradingView indicator that displays Bollinger Bands based on the volume weighted Hull Moving Average (VEHMA) of a financial asset. The VEHMA is a technical analysis tool that combines the reduced lag of the Hull Moving Average (HMA) with volume weighting to provide a more sensitive indicator of market trends and dynamics. The Bollinger Bands are a volatility indicator that plot upper and lower bands around a moving average, which can help traders identify potential trend changes and overbought or oversold conditions. The script allows the user to customize the VEHMA length and Bollinger Band deviation parameters.
Introduction: Bollinger Bands are a popular technical analysis tool used to identify potential trend changes and overbought or oversold conditions in the market. They are constructed by plotting upper and lower bands around a moving average, with the width of the bands determined by the volatility of the asset. The VEHMA is a variant of the Hull Moving Average (HMA) that combines the reduced lag of the HMA with volume weighting to provide a more sensitive indicator of market trends and dynamics.
Methodology: The VEHMA is calculated using a weighted average of two exponential moving averages (EMAs), with the weighting based on the volume of the asset and the length of the moving average. The Bollinger Bands are calculated by plotting the VEHMA plus and minus a standard deviation of the asset's price over a specified period. The standard deviation is a measure of the volatility of the asset and helps to adjust the width of the bands based on market conditions.
Implementation: The script is implemented in TradingView's PineScript language and can be easily added to any chart on the platform. The user can customize the VEHMA length and Bollinger Band deviation parameters to suit their trading strategy. The VEHMA, Bollinger Bands, and fill colors are plotted on the chart to provide a visual representation of the indicator.
Conclusion: The VEHMA Bollinger Bands indicator is a useful tool for traders looking to identify potential trend changes and overbought or oversold conditions in the market. This script provides a convenient and customizable implementation of the indicator for use in TradingView.
Welford Bollinger Bands (WBB)The Welford method is an algorithm for calculating the running average and variance of a series of numbers in a single pass, without the need to store all the previous values. It works by maintaining an ongoing running average and variance, updating them with each new value in the series. The running average is updated using a simple formula that adds the new value to the previous average, weighed by the number of values that have been processed so far. The variance is updated using a similar formula that takes into account the deviation of the new value from the running average.
The Welford method has several advantages that make it a good fit for use in calculating Bollinger Bands. First, it is more numerically stable than other methods, as it avoids accumulating round-off errors and can handle large numbers of data points without overflow or underflow. This is important when working with financial data, which can contain large price movements and wide ranges of values.
Second, the Welford method is well-suited for use in real-time or streaming data scenarios where all the data may not be available upfront. This is useful in the context of Bollinger Bands, which are often used to identify trend changes and trading opportunities in real-time, as the bands are updated with each new data point.
Finally, the Welford method is simple and efficient, making it easy to implement and fast to compute. This is important when creating technical indicators and trading strategies, as performance is often a critical factor.
Overall, the Welford method is a reliable and efficient way to calculate the running average and variance of a series of numbers, making it a good fit for use in calculating Bollinger Bands and other technical indicators.
Channel Based Zigzag [HeWhoMustNotBeNamed]🎲 Concept
Zigzag is built based on the price and number of offset bars. But, in this experiment, we build zigzag based on different bands such as Bollinger Band, Keltner Channel and Donchian Channel. The process is simple:
🎯 Derive bands based on input parameters
🎯 High of a bar is considered as pivot high only if the high price is above or equal to upper band.
🎯 Similarly low of a bar is considered as pivot low only if low price is below or equal to lower band.
🎯 Adding the pivot high/low follows same logic as that of regular zigzag where pivot high is always followed by pivot low and vice versa.
🎯 If the new pivot added is of same direction as that of last pivot, then both pivots are compared with each other and only the extreme one is kept. (Highest in case of pivot high and lowest in case of pivot low)
🎯 If a bar has both pivot high and pivot low - pivot with same direction as previous pivot is added to the list first before adding the pivot with opposite direction.
🎲 Use Cases
Can be used for pattern recognition algorithms instead of standard zigzag. This will help derive patterns which are relative to bands and channels.
Example: John Bollinger explains how to manually scan double tap using Bollinger Bands in this video: www.youtube.com This modified zigzag base can be used to achieve the same using algorithmic means.
🎲 Settings
Few simple configurations which will let you select the band properties. Notice that there is no zigzag length here. All the calculations depend on the bands.
With bands display, indicator looks something like this
Note that pivots do not always represent highest/lowest prices. They represent highest/lowest price relative to bands.
As mentioned many times, application of zigzag is not for buying at lower price and selling at higher price. It is mainly used for pattern recognition either manually or via algorithms. Lets build new Harmonic, Chart patterns, Trend Lines using the new zigzag?
Oscillator ExtremesThe Oscillator Extremes indicator plots the normalized positioning of the selected oscillator versus the Bollinger Bands' upper and lower boundaries. Currently, this indicator has four different oscillators to choose from; RSI, CMO, CCI, and ROC.
When the oscillator pushes towards one extreme, it will bring the value of the prevailing line closer to zero. If the bullish or bearish line crosses the zero line, the oscillator is past the extreme of the Bollinger Band.
Example: If the RSI crosses over the upper boundary of the Bollinger, the bullish(green) line will cross under the zero line.
Crossovers of the bullish and bearish lines can indicate a shift in momentum and are a signal. Where the line crossing under, towards zero, is the prevailing trend. The plotted lines will highlight green(bullish) or red(bearish) to show the prevailing trend. This is similar to a DI+- crossover that is commonly associated with the ADX.
We have included an optional normalized ADX to help validate signals. The ADX will change color based on the slope of the ADX. Purple indicates a positive slope and white for a negative slope.
Average True Range Refurbished💡 Objective
This script is a rebuild of the pre-existing ATR indicator, with improvements and fine-tuning.
🪄Improvements
1. Normalization option (range 0 to 100)
2. Optional calculation of the ratio between current volatility and average volatility
3. Optional smoothing
4. Show a moving average
5. Show Bollinger Bands with 3 bands
6. Change bar colors according to ATR and Bollinger Bands
📚 Definition
'The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps or limit moves.'
(TradingView)
Wavetrend in Dynamic Zones with Kumo Implied VolatilityI was asked to do one of those, so here we go...
As always free and open source as it should be. Do not pay for such indicators!
A WaveTrend Indicator or also widely known as "Market Cipher" is an Indicator that is based on Moving Averages, therefore its an "lagging indicator". Lagging indicators are best used in combination with leading indicators. In this script the "leading indicator" component are Daily, Weekly or Monthly Pivots . These Pivots can be used as dynamic Support and Resistance , Stoploss, Take Profit etc.
This indicator combination is best used in larger timeframes. For lower timeframes you might need to change settings to your liking.
The general Wavetrend settings are the same that are used in Market Cipher, Market Liberator and such popular indicators.
What are these circles?
-These are the WaveTrend Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are these white, orange and aqua triangles?
-These are the WaveTrend Pivots. A Pivot counter was added. Every time a pivot is lower than the previous one, an orange triangle is printed, every time a pivot is higher than the previous one an aqua triangle is printed. That mimics a very common way Wavetrend is being used for trading when using those other paid Wavetrend indicators.
What are these Orange and Aqua Zones?
-These are Dynamic Zones based on the indicator itself, they offer more information than static zones. Of course static lines are also included and can be adjusted.
What are the lines between the waves?
-This is a Kumo Cloud Implied Volatility indicator. It is color coded and can be used to indicate if a major market move/bottom/top happened.
What are those numbers on the right?
-The first number is a Bollinger Band indicator that shows if said Bollinger Band is in a state of Oversold/Overbought, the second number is the actual Bollinger Band Width that indicates if the Bollinger Band squeezes, normally that happens right before the market makes an explosive move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Bollinger Bands Filled - Didi's Needles setupFill Bollinger Bands - Based on Didi's Needles Setup
Fill Bands: True Fill Bollinger Bands
BB Open Upper: Open Bollinger Bands and MA Base rising
BB Open Lower: Open Bollinger bands and Base MA falling
BB Parallel Upper: Parallel and rising bollinger bands
BB Parallel Lower: Parallel and falling bollinger bands
BB Close: Closed Bollinger Bands
---------
Bandas de Bollinger com preenchimento - Baseada no Setup Agulhadas do Didi
Fill Bands: Verdadeiiro preenche as bandas de bollinger
BB Open Upper: Bandas de Bollinger abertas e MA Base subinte
BB Open Lower: Bandas de Bollinger abertas e MA Base cainte
BB Parallel Upper: Bandas de Bollinger paralelas e subinte
BB Parallel Lower: Bandas de Bollinger paralelas e cainte
BB Close: Bandas de Bollinger Fechada
HeikinAshi / MS-Signal (HA-MS)Hello?
Traders, welcome.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a good day.
-------------------------------------
I would like to take the time to explain the indicators needed for trading among the two indicator formulas previously disclosed.
The HA-MS indicator is an indicator created using the Heikin Ashi formula and the MACD formula.
Therefore, the reliability of the indicator is considered to be high.
If you want a comprehensive indicator, you can share the chart being published as an idea and use the MRHAB-T indicator.
The shared indicators can be used without any restrictions if you are a paid member of TradingView.
(Free members have many restrictions on sharing charts.)
The MS-Signal indicator using MACD is an indicator composed of M-Signal and S-Signal lines.
I made it possible to display the M-Signal line of the 1D, 1W, and 1M charts separately so that the trend can be checked on other timeframe charts.
Therefore, by looking at the 15m chart or 1h chart to check the overall trend when trading, we prevented getting caught up in temporary volatility, that is, a whipsaw, and made this M-Signal line to be used as support and resistance.
If you touch these M-Signal lines when a surge or plunge occurs, it means that there is a high possibility of indicating support or resistance.
If the 5EMA line on the 1D chart rises above the 5EMA line enough to be called a soaring moving average, it means that there is a high possibility of a sudden movement.
Therefore, the 5EMA line of the 1D chart is displayed separately so that it can be checked in time frames other than 1D (15m, 1h charts, etc.).
This 5EMA line can also be used as support and resistance like the M-Signal line of the 1D, 1W, and 1M charts described above.
The MS-Signal indicator is for viewing trends.
So, if the price stays above the MS-Signal indicator and the MS-Signal indicator turns into a bullish sign, it means that the uptrend is likely to continue.
Conversely, if the price stays below the MS-Signal indicator and the MS-Signal indicator turns to a bearish sign, then the downtrend is likely to continue.
Therefore, even if it temporarily rises above the MS-Signal indicator, it cannot be said that it will show an uptrend unless it is converted to an uptrend.
So, when the price surges and rises above the MS-Signal indicator, it is important to hold the price until the MS-Signal indicator turns into an uptrend.
If the HA-Low line or HA-High line is passing through these movements, you should respond by looking at whether you are supported or resisted on these lines.
The HA-Low line and the HA-High line are lines created for trading using Heikin Ashi candles.
Therefore, it can be interpreted that if it is supported by the HA-Low or HA-High line, it is highly likely to show an uptrend.
However, since the HA-Low and HA-High lines are calculated together with the RSI indicator, they are displayed on the chart as interactions.
The HA-Low line is a line created near the low point,
The HA-High line is a line created near the high point.
Therefore, if it shows support at the HA-Low line, it is time to buy.
And, if the price rises and rises above the HA-High line, it is likely to show a sharp movement.
Because of this movement, the HA-Low line is called the buy line, and the HA-High line is called the soaring line.
Since the HA-High line is a soaring line, if it is resisted by the HA-High line, it also means that there is a high possibility of a sharp decline.
If you see support at the HA-High line, you can buy it, but as I said, it is a sharp rise line, so you have to respond from a short-term perspective.
The Heikin Ashi body indicator is significant as it marks the first trend reversal.
So, you can see the first reversal move, either when the price first makes a move from a downtrend to an uptrend, or when the price first makes a move from an uptrend to a downtrend.
For example, if the price is in a downtrend and stops falling and moves sideways or rises slightly, the Heikin Ashi body indicator is likely to turn into an uptrend.
If this turns into a bullish sign, aggressive buying is possible.
However, since there is a high possibility that it will not rise higher and fall immediately, it is better to think of a trading strategy when it shows support by rising above the 5EMA line, HA-Low line, and MS-Signal indicator.
Let's assume that from an uptrend in price, the Heikin Ashi body indicator turns to a downtrend.
Then, if you touch the 5EMA line, the HA-High line, and the MS_Signal indicator, I think you can buy some time to think about a selling strategy.
-------------------------------------------------- -
It doesn't matter how you trade and what tools you use.
What matters is whether you can create a trading strategy.
We tend to spend more time on analysis like chart analysis, economic analysis.
Also, many analytical techniques are studied to do this kind of analysis.
I have spent a lot of time studying various analysis techniques and putting a lot of effort into using them in trading.
However, I realized that acquiring all of these things did not make me a good trader.
The indicators released today also do not mean much in reality.
It merely provides minimal information for creating a trading strategy.
I think it is better to put aside the idea of investing a lot of time in chart analysis and economic analysis and proceeding with trading.
Instead, I recommend spending a lot of time thinking about how to buy at the point or section you are trading, how to sell if the price rises, and how to stop loss if the price falls.
Quickly learn that learning difficult analytical techniques doesn't make you profitable on your trades.
I hope you understand.
An analytical technique or tool that allows you to earn a steady income is the best technique.
Creating a trading strategy is not difficult.
It's just that it feels difficult because I haven't organized my thoughts until now.
trading strategy
1. Investment period
2. Investment scale
3. Trading method and profit realization method
You just need to think in order and then start trading.
The most important thing in this trading strategy is the investment period.
The most important thing is whether to trade the coin (token) you want to trade by investing for a period such as the same day, short term, mid term, or long term.
This is because even though this first button is not connected properly, the following fund management and trading methods are all wrong.
I hope the day will come soon when you can play with the movement of the chart and get away from wrestling with the chart.
thank you.
---------------------------------
Hull Moving Average Bollinger Bands (HMABB)Hello! This is simply Bollinger Bands calculated with HMA! Heres a recap on both.
The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag.
Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price. Bollinger Bands use 2 parameters, Period and Standard Deviations, StdDev.
Generalized Bollinger Bands %B And Bandwidth (Tartigradia)Bollinger Band is simply a representation of the rolling average of price and its standard deviation around the average (called the "basis").
This indicator generalizes the Bollinger Band by implementing many different equations to calculate the Bollinger Bands beyond the standard deviation and sma, and then plot the %B (where the current price falls inside the Bollinger Band), Bandwidth (size of the Bollinger Band) as well as the Bollinger Band itself and a reproduction of the OHLC price candles in a separate pane.
Whereas other Bollinger Bands indicators 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.
Advanced features such as temporal discounting (ie, newer bars can have more weights), median absolute deviation and multiple sigma bands (eg, 3-sigma) are available.
Up to 3 different Bollinger Bands can be displayed, and the background can be highlighted when price is overbought/oversold (beyond the Bollinger Band of choice). Tip: BB3, which is the bollinger band with standard deviation of 3, which represents 99% of observed values in the lookback period, is a good choice to highlight overbought/oversold conditions.
Three "Sentiment Bars" are provided to see at a glance the sentiments on the price action relative to the Bollinger Bands as reflected by the %B value.
Usage:
Use the %B as a measure of sentiment: bullish if > 0.5, bearish if < 0.5. You can use the Sentiment Bars at the bottom for a quick reference: aqua if bullish, red if bearish, gray if undefined (too close to the middle line).
Use the bandwidth as a measure of volatility: higher is more volatile, lower is less.
When overbought, it can be a good time to sell/short. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
When oversold, it can be a good time to buy/long. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
Consider setting a much tighter lookback period of 4 as recommended in backtested works (en.wikipedia.org), use zlma instead of sma, and finally set a higher timeframe for the Bollinger Bands than the one you are currently studying. Then, the Bollinger Bands can help in detecting overbought and oversold regions (price going "out of bands").
Note that I tried to automate the setting of a higher timeframe, but for some reason the output is different when I manually do it using request.security() than when it's in indicator(timeframe=""). If someone has any suggestion as to why it happens, please let me know! (You can try it for yourself by uncommenting the auto_timeframe parameter line).
Generalized Bollinger Bands (Tartigradia)Bollinger Band is simply a representation of the rolling average of price and its standard deviation around the average (called the "basis").
This indicator generalizes the Bollinger Band by implementing many different equations to calculate the Bollinger Bands beyond the standard deviation and sma.
Whereas other Bollinger Bands indicators 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.
Advanced features such as temporal discounting (ie, newer bars can have more weights), median absolute deviation and multiple sigma bands (eg, 3-sigma) are available.
Up to 3 different Bollinger Bands can be displayed, and the background can be highlighted when price is overbought/oversold (beyond the Bollinger Band of choice).
Tip: BB3, which is the bollinger band with standard deviation of 3, which represents 99% of observed values in the lookback period, is a good choice to highlight overbought/oversold conditions.
Usage:
Use it as usual Bollinger Bands, as a measure of volatility, and to setup stop losses.
Use the bandwidth as a measure of volatility: higher is more volatile, lower is less.
When overbought, it can be a good time to sell/short. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
When oversold, it can be a good time to buy/long. Use a higher Bollinger Band Multiplier such as 3 or more to reduce false positives.
Consider setting a much tighter lookback period of 4 as recommended in backtested works (en.wikipedia.org), use zlma instead of sma, and finally set a higher timeframe for the Bollinger Bands than the one you are currently studying. Then, the Bollinger Bands can help in detecting overbought and oversold regions (price going "out of bands").
Note that I tried to automate the setting of a higher timeframe, but for some reason the output is different when I manually do it using request.security() than when it's in indicator(timeframe=""). If someone has any suggestion as to why it happens, please let me know! (You can try it for yourself by uncommenting the auto_timeframe parameter line).
If you want to plot the indicator in a separate pane, and to also plot %B and bandwidth, I made another indicator "Generalized Bollinger Bands %B and Bandwidth by Tartigradia" that does that.
