Z-Score of RSIA way to see whether RSI is overbought or oversold inside its Bollinger Bands in the form of an oscillator. Z-score tells you how far the data is from the mean in terms of standard deviations. The numbers shown in the indicator are the number of standard deviations away from the average or mean. Like Bollinger Bands, if it is above the standard deviation border lines then it is considered to be outside the distribution or Bollinger Band. If it is above the upper border line then is it is overbought, if it is below the lower border line then is is oversold.
Example of how standard deviation works: 1 standard deviation contains 68% of the data, 2 SD (the default for BB) contains 95% of data, 3 SD for 99%, etc. If the data goes past that, it is considered to be outside the distribution. In statistics, data that is within the distribution is considered to be "significant".
The z-score line is colored green if it is above zero and red if it is below zero. Above zero means that the RSI is above the average line or the middle line of the Bollinger Bands, and vice-versa if it is below. A red vertical bar is shown when the the z-score is above the upper border line to show that it is overbought and a green vertical bar is shown when the z-score is below the lower border line to show that it is oversold. This is the equivalent of when the RSI is above and below its Bollinger Bands.
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Volatility Bands by DGTVolatility represents how large an asset's prices swing around the mean price, the degree of variation of a trading price over time, and is commonly measured with beta (β) coefficients, standard deviations (σ) of returns where tools such as Average True Range, Bollinger Bands, Keltner Channel, Squeeze Indicator, etc presents volatility concept
Volatility often refers to the amount of uncertainty or risk related to the size of changes in a security's value. The higher the volatility, the riskier the security - the price of the security can change dramatically over a short time period in either direction. A lower volatility - security's value does not fluctuate dramatically, and tends to be more steady
This study, Volatility Bands , attempts to present a way to measure and visualize volatility , using standard deviations (σ) and average true range indicator, and aims to point out areas that might indicate potential trading opportunities
I will try to explain the usage with examples,
same setup with different option selected
as you may observe from the examples different setting may have advantages and disadvantages over one another, it is recommended to verify a trading setup with different available options.
Additionally, It is recommended to use this indicator in conjunction with other technical indicators, or verify using chart/candle patterns. Below is an usage example using in conjunction with other indicator, in the given example “Neglected Volume by DGT” is selected
Similarities and Differences
Bollinger Bands depicts two standard deviations above and below a simple moving average, and Keltner Channel depicts two times average true range (ATR) above and below an exponential moving average
Volatility Bands study combines the approach of both Bollinger Bands and Keltner Channel, with different settings and different visualization
Default settings are one standard deviations and one time average true range (ATR) above and below 13 period exponential moving average. Setting can be adjusted by users but let me remind all testes are performed with the default settings.
Mathematically expressed as
Upper band area between “ema + stdev” and “ema + atr”
Lower band area between “ema – stdev” and “ema – atr”
A different display is added with the inspiration I get from one of the @quantgym ‘s study, many thanks @quantgym 😉
When difference band display is selected the study will reflect the area between “ema + stdev – atr” and “ema – stdev + atr”. As shown in the examples above
Note: standard deviation calculation can be adjusted based on price action or its moving average.
Other differentiation between BB and KC is with V-BANDS mostly we look for trade opportunities when price action move out of the bands and in most cases we assume market is consolidating when the price action is within the bands
The other indicator that presents similarities to Volatility Bands is Squeeze Indicator, which measures the relationship between Bollinger Bands and Keltner's Channels to help identify consolidations and signal when prices are likely to break out. Mainly Volatility Bands is different version of Squeeze indicator, in fact the purpose is almost same but visualization is completely different. Additionally Volatility Bands Offers trading opportunities whereas Squeeze indicator only presents market states unless a momentum indicator is adapted to Squeeze indicator.
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Configurable BB+RSI+Aroon strategy backtest for binary optionsI wanted to share this strategy that I use myself for binary options trading. After trading binary options for several years I have learned that every single day is unique... assets behave differently every single day. So, when I start the day I want to know which is the optimum combination of parameters in my indicators that will give me the signals I want during the day and I get that by doing a quick backtest of the parameters combination in a specific asset that same day. When trading Binary Options I usually do 3 or 4 trades max per day and, yes, there are moments in which even with the right backtest data the signals fail (I strongly believe that there is no strategy that guarantees 100% success in any type of trade, and this one here is not an exception - but has worked well with some assets). So, here is my contribution to improve your productivity by automating a bit that backtesting part.
How this script works?
It is a simple price crossunder / crossover Bollinger Bands (BB) with a confirmation from RSI overbought / oversold signals and a fast Aroon. You will see the BB plotted with its confirmations:
(1) a blue circle that plots in the chart when the price is coming back inside the channel (within the Bollinger Bands)
(2) an orange square that plots in the chart when the RSI is coming back from the overbought or oversold areas
(3) a triangle that could be red or green depending on the Aroon confirmation: Red if Aroon Down is crossing down Aroon Up or green if vice versa.
The strategy will call for long (Call) if:
(1) the price is crossing over the lower band of the Bollinger Bands, coming back inside the channel
(2) Aroon Up is crossing or has crossed above Aroon Down
(3) RSI is crossing over the oversold limit
Consequently, the strategy will call for a short (Put) if:
(1) the price is crossing down the upper band of the Bollinger Bands, coming back inside the channel
(2) Aroon Down is crossing or has crossed below Aroon Up
(3) RSI is crossing under the overbought limit
You can configure:
1. Aroon length (keep it as fast as possible: 3, 4 or 5 are recommended values)
2. The point where Aroon Up and Aroon Down cross to make the signal valid (50 is by default. It could also be 25 or 75)
3. The RSI length
4. RSI Overbought and Oversold limits (they do not need to be symmetric: you can use 29 and 93, for example)
5. Bollinger Bands length and standard deviation
6. Number of bars to keep your option open. Depending on the timeframe used, this will determine the time you will keep your binary option open. If you are in a 1 min chart and keep this parameter in 3, then you will need to configure your binary option to expire in 3 minutes.
How to evaluate your backtest?
In Binary Options you only need the success rate, so what I do is that when I am manually updating the parameters I keep my strategy tester window open checking the winning trades vs losing trades ratio ("Percent Profitable"). I personally will only keep an asset monitored looking for signals that day if the Percent Profitable on the backtest of the same day is above 80%.
Regarding the code: it is open, public and free. No need to ask for permission if you want to copy+paste and use it in whole or parts.
Happy pip hunting!
-marco
(JS) Squeeze Pro OverlaysSo this was something I planned on doing in the future, I knew it would take some time to put together but here it is, the Squeeze Pro 2 Overlays.
On my original Squeeze Pro, I had made several overlay indicators to go along with it, this time my goal was to combine all that stuff into a single indicator and allow the user to turn on and off the specific features they'd prefer to use. The version illustrated in the preview has everything turned on. What is "everything"? Here's the breakdown...
First of all - the color schemes in the Squeeze Pro match the color schemes in the Overlays indicator, so you can match them up (Color Scheme 3 in example). There are 6 schemes, option 1 is the original Squeeze colors.
There's also an option to make the light squeeze black, rather than white. This is for people who aren't using Dark Mode. It will flip all white to black, to make your charts better to read!
So there are 4 main overlays that can be switched on and off with this indicator, they include;
1. Early Signal Candles
2. BBMA Basis Line
3. Bollinger Bands/Keltner Channel Breaches
4. Signal Arrows
Early Signal Candles
The Early Signal Candles have two parameters, the entry smoothing period and the exit smoothing period.
There is a different type of early entry signal for each type of squeeze.
Low Squeeze generates white dots on the highs of the candles.
Mid Squeeze generates a lime green candle (or purple candle in color scheme 3).
High Squeeze generates a bigger purple circle on the high of the candle.
These three signals are made to mimic the original Early In/Out Candles from John Carter and represent the same thing (they work the same way).
As for the early exit, that would be determined by the color of the candle vs the color of the squeeze, works the same way as the original as well.
BBMA Basis Line
The BBMA (Bollinger Bands Momentum Average) was a moving average I had made to use with the squeeze on the previous version.
It is the basis line of the BB and KC used to make up the Squeeze (a 20 SMA). There are 4 different colors to it on this version.
1. Orange - This means no squeeze.
2. White/Black - Low Squeeze
3. Red - Mid Squeeze
4. Yellow - High Squeeze
You'll also notice these colors are light and dark in different spots - this is a representation of whether the Bollinger Bands are expanding or contracting. Dark means expanding, light means contracting.
Bollinger Bands/Keltner Channel Breaches
This is a pretty simple feature. If there is an ongoing squeeze, and a candle closes above or below the Bollinger Bands or Keltner Channels, a circle appears at the top or the bottom of the chart telling you which way the channel has been breached.
Signal Arrows
This is what makes up most of the overlay indicator. If you turn it on, the default is set to work just like the original. There are lots of options with this though.
First, you can turn each type of Squeeze Arrow on or off by checking/unchecking the boxes for them.
Now allow me to explain the "Signal Length", as there are several options.
The default is "6 Dots", this generates a signal when a particular type of Squeeze reaches the 6th dot ("12 Dots" works the same way).
"End of Squeeze" generates a signal once a type of Squeeze has concluded.
"End of Early Signal" generates a signal when the early dots (or candle) finishes.
"Custom" allows you to select your own dot duration to produce a signal, you select that number in the field below.
The other portion of this is the "Signal Type", this is where you select how each signal is generated once the selected amount of time takes place.
The default is the same as the original "+/-", this generates a signal based on whether Squeeze momentum is positive or negative.
"Rising/Falling" will only generate a signal if the Squeeze momentum maintains consistently over the last 6 bars.
"Crossed Zero" only generates a signal if the Squeeze momentum crosses above or below the zero line.
"Basis Line Momentum" is based on the BBMA. A signal is generated based on whether the current candle closes above or below the basis line.
"Divergence" only generates a signal if there is a divergence signal present at the time of the signal.
"Current Momentum" generates a signal based simply on the current direction of Squeeze momentum.
"Sum of Change" generates a signal based on the sum of the change in the Squeeze momentum being positive (long) or negative (short) over the length of time you select in the "Sum of Change Length" field.
Then "Combo" tries to take a look at everything and generates a score based on these parameters. Positive score = long, negative = short.
I hope I gave a detailed enough explanation on how everything works, let me know if you have any questions! Hope you like it!
(JS) Squeeze Pro 2This is my version of the updated classic indicator created by John Carter. I plan on adding a Squeeze Overlay script in the future that will pair with this one as well for additional signals.
So to break down the Squeeze, what it is, how it works, etc - you have to look at the components that make it up.
1. Bollinger Bands
2. Keltner Channels
3. Momentum
The momentum in this indicator is smoothed out using linear regression (shout out to Lazy Bear, it's a much simpler way to do it, imo).
The momentum is what is displayed on the indicator as a histogram, its purpose is obvious (to show momentum).
Now what is a Squeeze? A squeeze occurs when Bollinger Bands tighten up enough to slip inside of Keltner Channels.
This is interpreted as price is compressing and building up energy before releasing it and making a big move.
Traditionally, John Carter's version uses 20 period SMAs as the basis lines on both the BB and the KC.
In my version, I've given the freedom to change this and try out different types of moving averages.
His original squeeze indicator had one Squeeze setting, though this new one has three .
The white dot Squeeze , call it a "low squeeze", an "early squeeze", whatever you'd like - this is the easiest Squeeze to form based on its settings.
The red dot Squeeze is the original from the first Squeeze indicator.
And finally, the yellow dot squeeze , call it a "high squeeze", "power squeeze", once again whatever you want - is the most difficult to form and suggests price is under extreme levels of compression.
From what I've witnessed John Carter say in the past, the squeeze is meant to be used for continuation.
Now to explain the parameters:
Squeeze Input - This is just the source for the Squeeze to use, default value is closing price.
Length - This is the length of time used to calculate the Bollinger Bands and Keltner Channels.
Bollinger Bands Calculation Type - Selects the type of moving average used to create the Bollinger Bands.
Keltner Channel Calculation Type - Selects the type of moving average used to create the Keltner Channel.
Color Format - I have created 5 different color schemes, this allows you to choose one.
Draw Divergence - Self explanatory here, this will auto-draw divergence on the indicator.
Gray Background for Dark Mode - This is something I put on all my indicators to make them more visually appealing.
Moving on to the alerts, I have made some basic alerts to notify certain indicator conditions (I had to revise it back from the prior version, as V4 of PineScript limits outputs).
6th Dot Alerts - This will inform you when a certain Squeeze makes it 6 dots in. Why 6 dots? That is what John Carter said to be his preference.
12th Dot Alerts - Think of this as a "prolonged Squeeze" alert. I feel like if they do run this long you likely need to go up in resolution, but some traders prefer certain time increments so this is for them.
End of Squeeze Alerts - Self explanatory again - once a Squeeze has concluded this will provide you with a notification.
Start of Squeeze Alerts - Opposite of the alert above, notifications come when a Squeeze begins.
Zero Line Alerts - This will inform you of when the momentum makes a bullish or bearish move across the zero line.
I hope that I've done well enough explaining the indicator and how it works, for any further information on it I suggest you check out Simpler Trading and get linked up with John Carter over there.
He does lots of videos, webinars, and of course you can always get the official indicator and his signals there too.
BBImpulse IndicatorBBImpulse is part of the latest indicators package offered by John Bollinger. Excerpt from their market blurb (www.bbforex.com):
"BBImpulse is derived from %b. Its value is the periodic change of %b, so if %b was 0.45 this period and 0.20 last period the present value of BBImpulse is 0.25. We present two reference levels on the chart, an alert level and an impulse level."
"Generally the market moves in the direction of the latest alerts and/or impulses except towards the end of a move where one can take advantage of exhaustion/reversal signals from this indicator."
"Ian Woodward employs BBImpulse for his Kahuna signals using key levels of 0.24 and 0.40."
I added support for the following:
- Highlighting alert/impulse trigger bars
- Rendering the range (check options page).
I noticed that the range, by itself, highlights lot of info:
- Tapering in (narrowing) of range may signify topping or falling prices.
- Tapering out (expanding) may signify nearing a bottom or rising prices.
- Range getting "ranged" between alert or impulse levels signify a major move in the direction of the last impulse trigger. I think for this, alert level ranging intensity is greater than impulse level ranging intensity.
Someone more familiar with BB will have more observations, I am sure. Please do share here so we BB noobs can learn :)
For more indicators, check out my complete list here:
BB + RSI & Volume FilterThis script overlays three sets of technical filters on your price chart and generates signals when conditions align:
Bollinger Bands
Calculates upper, middle, and lower bands using either SMA or EMA.
Buy signal when price crosses up through the lower band.
Sell signal when price crosses down through the upper band.
Volume Filter
Computes a simple moving average of volume.
Ensures breakout moves have sufficient volume by requiring current volume > SMA(volume) × multiplier.
RSI Filter
Computes RSI on the chosen source.
Buy when RSI crosses above the oversold threshold.
Sell when RSI crosses below the overbought threshold.
Only plots RSI signals that pass the volume filter.
You get:
Bollinger entry/exit shapes (labeled “BB ↑/↓”).
RSI entry/exit shapes (labeled “RSI”) only when volume confirms the move.
Alerts for each signal type.
This combination reduces false breakouts by requiring both volatility (Bollinger) or momentum (RSI) and volume confirmation
BK AK-9I am incredibly proud to introduce my fourth indicator to the TradingView community:
BK AK-9 — a next-level momentum-volatility hybrid, built for traders who demand precision.
🔥 Why “AK-9”? The Meaning Behind the Name
This indicator is deeply personal to me.
The “AK” in the name represents the initials of my mentor — the man whose guidance shaped my journey in trading, discipline, and strategy.
His wisdom is woven into every line of code, every design choice, and every purpose behind this tool.
The “9” holds its own powerful meaning:
9 is the number of completion and breakthrough — the moment where preparation meets opportunity.
The AK-9 weapon itself is a suppressed variant of the legendary AK platform, built for stealth, precision, and maximum impact in close-quarters combat.
It’s quiet, adaptive, and deadly effective — just like this indicator cuts through market noise, adapts to volatility, and pinpoints moments of maximum opportunity.
✨ About the BK AK-9 Indicator
The BK AK-9 is not just an oscillator.
It’s a multi-layered trading weapon combining:
✅ RSI → Stochastic → Bollinger Bands on Stoch RSI → momentum measured inside volatility.
✅ Dynamic or Static Background Flash → when extremes hit, you get instant visual alerts.
✅ Color-coded %K zones →
🔴 Red: oversold
🟢 Green: overbought
🔵 Blue: neutral
✅ Volatility-adaptive bands → instead of relying on static levels, the bands expand and contract dynamically using standard deviation.
🛡️ Why This Indicator Matters
Pinpoints exhaustion zones statistically, not emotionally.
Confirms breakouts with volatility evidence, not just price action.
Filters noise and helps you wait for high-probability setups.
Gives you visual edge with color-coded momentum and background flash.
Perfect for:
🔹 Breakout traders confirming momentum surges.
🔹 Mean-reversion traders catching exhaustion pivots.
🔹 Swing traders using multi-layered momentum analysis.
🔹 Momentum traders hunting volatility-backed entries.
💥 How to Use BK AK-9
Breakout Confirmation → when Stoch RSI breaks above upper Bollinger Band (green zone, flash ON), ride the trend.
Mean Reversion Trades → when Stoch RSI drops below lower Bollinger Band (red zone, flash ON), look for reversals.
Noise Filtering → stay patient inside the blue zone, wait for extremes.
Advanced Sync → align it with Gann levels, harmonic patterns, Fibonacci clusters, or Elliott waves for maximum edge.
🙏 Final Thoughts
This isn’t just another tool — it’s a weapon in your trading arsenal.
🔹 Dedicated to my mentor, A.K., whose wisdom and legacy guide my work.
🔹 Designed around the number 9, the number of completion, transition, and breakthrough.
🔹 Built to help traders act with precision, discipline, and clarity.
But above all, I give praise and glory to Gd — the true source of wisdom, insight, and success.
Markets will test your patience and your skill, but faith tests your soul. Through every challenge, every victory, and every setback, Gd remains the constant.
This tool is simply another way to use the gifts He has given — to help others rise.
⚡ Stay Ready, Stay Sharp
The markets are a battlefield. But with the right tools, the right strategy, and the right mindset — you will always stay 10 steps ahead.
🔥 Stay locked. Stay loaded. Trade with precision. 🔥
Gd bless, and may He guide us all to wisdom and success. 🙏
Hullinger Bands [AlgoAlpha]🎯 Introducing the Hullinger Bands Indicator ! 🎯
Maximize your trading precision with the Hullinger Bands , an advanced tool that combines the strengths of Hull Moving Averages and Bollinger Bands for a robust trading strategy. This indicator is designed to give traders clear and actionable signals, helping you identify trend changes and optimize entry and exit points with confidence.
✨ Key Features :
📊 Dual-Length Settings : Customize your main and TP signal lengths to fit your trading style.
🎯 Enhanced Band Accuracy : The indicator uses a modified standard deviation calculation for more reliable volatility measures.
🟢🔴 Color-Coded Signals : Easily spot bullish and bearish conditions with customizable color settings.
💡 Dynamic Alerts : Get notified for trend changes and TP signals with built-in alert conditions.
🚀 Quick Guide to Using Hullinger Bands
1. ⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings to align with your trading preferences, such as length and multiplier values.
2. 🔍 Analyze Readings : Observe the color-coded bands for real-time insights into market conditions. When price is closer to the upper bands it suggests an overbought market and vice versa if price is closer to the lower bands. Price being above or below the basis can be a trend indicator.
3. 🔔 Set Alerts : Activate alerts for bullish/bearish trends and TP signals, ensuring you never miss a crucial market movement.
🔍 How It Works
The Hullinger Bands indicator calculates a central line (basis) using a simple moving average, while the upper and lower bands are derived from a modified standard deviation of price movements. Unlike the traditional Bollinger Bands, the standard deviation in the Hullinger bands uses the Hull Moving Average instead of the Simple Moving Average to calculate the average variance for standard deviation calculations, this give the modified standard deviation output "memory" and the bands can be observed expanding even after the price has started consolidating, this can identify when the trend has exhausted better as the distance between the price and the bands is more apparent. The color of the bands changes dynamically, based on the proximity of the closing price to the bands, providing instant visual cues for market sentiment. The indicator also plots TP signals when price crosses these bands, allowing traders to make informed decisions. Additionally, alerts are configured to notify you of crucial market shifts, ensuring you stay ahead of the curve.
Multi-Chart Widget [LuxAlgo]The Multi-Chart Widget tool is a comprehensive solution crafted for traders and investors looking to analyze multiple financial instruments simultaneously. With the capability to showcase up to three additional charts, users can customize each chart by selecting different financial instruments, and timeframes.
Users can add various widely used technical indicators to the charts such as the relative strength index, Supertrend, moving averages, Bollinger Bands...etc.
🔶 USAGE
The tool offers traders and investors a comprehensive view of multiple charts simultaneously. By displaying up to three additional charts alongside the primary chart, users can analyze assets across different timeframes, compare their performance, and make informed decisions.
Users have the flexibility to choose from various customizable chart types, including the recently added "Volume Candles" option.
This tool allows adding to the chart some of the most widely used technical indicators, such as the Supertrend, Bollinger Bands, and various moving averages.
In addition to the charting capabilities, the tool also features a dynamic statistic panel that provides essential metrics and key insights into the selected assets. Users can track performance indicators such as relative strength, trend, and volatility, enabling them to identify trends, patterns, and trading opportunities efficiently.
🔶 DETAILS
A brief overview of the indicators featured in the statistic panel is given in the sub-section below:
🔹Dual Supertrend
The Dual Supertrend is a modified version of the Supertrend indicator, which is based on the concept of trend following. It generates buy or sell signals by analyzing the asset's price movement. The Dual Supertrend incorporates two Supertrend indicators with different parameters to provide potentially more accurate signals. It helps traders identify trend reversals and establish trend direction in a more responsive manner compared to a single Supertrend.
🔹Relative Strength Index
The Relative Strength Index is a momentum oscillator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is typically used to identify overbought or oversold conditions in a market. Traditionally, RSI values above 70 are considered overbought, suggesting that the asset may be due for a reversal or correction, while RSI values below 30 are considered oversold, indicating potential buying opportunities.
🔹Volatility
Volatility in trading refers to the degree of variation or fluctuation in the price of a financial instrument, such as a stock, currency pair, or commodity, over a certain period of time. It is a measure of the speed and magnitude of price changes and reflects the level of uncertainty or risk in the market. High volatility implies that prices are experiencing rapid and significant movements, while low volatility suggests that prices are relatively stable and are not changing much. Traders often use volatility as an indicator to assess the potential risk and return of an investment and to make informed decisions about when to enter or exit trades.
🔹R-Squared (R²)
R-squared, also known as the coefficient of determination, is a statistical measure that indicates the proportion of the variance in the dependent variable that is predictable from the independent variable(s). In other words, it quantifies the goodness of fit of a regression model to the observed data. R-squared values range from %0 to %100, with higher values indicating a better fit of the model to the data. An R-squared of 100% means that all movements of a security are completely explained by movements in the index, while an R-squared value of %0 indicates that the model does not explain any of the variability in the dependent variable.
In simpler terms, in investing, a high R-squared, from 85% to 100%, indicates that the stock’s or fund’s performance moves relatively in line with the index. Conversely, a low R-squared (around 70% or less) indicates that the fund's performance tends to deviate significantly from the movements of the index.
🔶 SETTINGS
🔹Mini Chart(s) Generic Settings
Mini Charts Separator: This option toggles the visibility of the separator lines.
Number Of Bars: Specifies the number of bars to be displayed for each mini chart.
Horizontal Offset: Determines the distance at which the mini charts will be displayed from the primary chart.
🔹Mini Chart Settings: Top - Middle - Bottom
Mini Chart Top/Middle/Bottom: Toggle the visibility of the selected mini chart.
Symbol: Choose the financial instrument to be displayed in the mini chart. If left as an empty string, it will default to the current chart instrument.
Timeframe: This option determines the timeframe used for calculating the mini charts. If a timeframe lower than the chart's timeframe is selected, the calculations will be based on the chart's timeframe.
Chart Type: Selection from various chart types for the mini charts, including candles, volume candles, line, area, columns, high-low, and Heikin Ashi.
Chart Size: Determines the size of the mini chart.
Technical Indicator: Selection from various technical indicators to be displayed on top of the mini charts.
Note : Chart sizing is relative to other mini charts. For example, If all the mini charts are sized to x5 relative to each other, the result will be the same as if they were all sized as x1. This is because the relative proportions between the mini charts remain consistent regardless of their absolute sizes. Therefore, their positions and sizes relative to each other remain unchanged, resulting in the same visual representation despite the differences in absolute scale.
🔹Supertrend Settings
ATR Length: is the lookback length for the ATR calculation.
Factor: is what the ATR is multiplied by to offset the bands from price.
Color: color customization option.
🔹Moving Average Settings
Type: is the type of the moving average, available types of moving averages include SMA (Simple Moving Average), EMA (Exponential Moving Average), RMA (Root Mean Square Moving Average), HMA (Hull Moving Average), WMA (Weighted Moving Average), and VWMA (Volume Weighted Moving Average).
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average.
Color: Color customization option.
🔹Bollinger Bands Settings
Basis Type: Determines the type of Moving Average that is applied to the basis plot line.
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average which creates the base for the Upper and Lower Bands.
StdDev: The number of Standard Deviations away from the Moving Average that the Upper and Lower Bands should be.
Color: Color customization options for basis, upper and lower bands.
🔹Mini Chart(s) Panel Settings
Mini Chart(s) Panel: Controls the visibility of the panel containing the mini charts.
Dual Supertrend: Toggles the display of the evaluated dual super trend, based on the super trend settings provided below the option. The definitions for the options are the same as stated above for the super trend.
Relative Strength Index: Toggles the display of the evaluated RSI, based on the source and length settings provided below the option.
Volatility: Toggles the display of the calculated Volatility, based on the length settings provided below the option.
R-Squared: Toggles the display of the calculated R-Squared (R²), based on the length settings provided below the option.
🔶 LIMITATIONS
The tool allows users to display mini charts featuring various types of instruments alongside the primary chart instrument. However, there's a limitation: the selected primary chart instrument must have an ACTIVE market status. Alternatively, if the primary chart instrument is not active, the mini chart instruments must belong to the same exchange and have the same type as the primary chart instrument.
Reversal Zones [UAlgo]🔶Description:
"Reversal Zones " aims to identify potential reversal zones in price movements. The indicator provides visual signals on the chart, indicating potential overbought and oversold conditions based on the calculated values. It offers traders insights into possible turning points in the market, aiding in decision-making processes regarding entry and exit points.
🔶Key Features:
Bollinger Bands Percentile (BB Percentile):
Bollinger Bands Percentile is utilized in this script to gauge the current price position relative to its recent volatility. By calculating the percentile rank of the current price within the Bollinger Bands, traders can identify extreme price levels. This assists in recognizing potential overbought or oversold conditions, where price may be due for a reversal.
Choppiness Index (CI):
The Choppiness Index is employed here to measure the market's trendiness or choppiness. By evaluating the efficiency of the price movement, CI helps traders determine whether the market is trending or consolidating.
Commodity Channel Index (CCI):
The Commodity Channel Index is integrated into this script to capture price momentum. CCI quantifies the relationship between the current price, a moving average, and standard deviation. Traders use CCI to identify overbought or oversold conditions and potential trend reversals.
By averaging and smoothing these values, traders can obtain a clearer picture of potential turning points in the market. The final smoothed combination signal aims to reduce noise and provide more reliable insights.
🔶Disclaimer:
Please note that this script is provided for informational and educational purposes only and should not be considered as financial advice.
Trading in financial markets involves risk, and past performance is not necessarily indicative of future results.
Users should conduct their own research and analysis or consult with a qualified financial advisor before making any investment decisions based on this indicator.
The creators of this script are not liable for any losses incurred from trading activities.
Zero-lag Volatility-Breakout EMA Trend StrategyThis is a simple volatility-breakout strategy which uses the difference in two different zero-lag* EMAs (explained below on what exactly I mean by this) to track the upwards or downwards strength of an instrument. When the difference breaks above a Bollinger Band of a configurable standard deviation multiple, the strategy enters based off the direction of the base EMA used (i.e. if the difference breaks above and the current EMA is rising, a long entry is produced. If the difference breaks above and the current EMA is falling, a short entry is produced).
The two EMA-type metrics used to calculate the volatility difference are calculated by the following formula:
top_ema = math.max(src, ta.ema(src, length))
bottom_ema = math.min(src, ta.ema(src, length))
ema_difference = (top_ema - bottom_ema) - 1
This produces a difference which responds immediately to large price movements, instead of lagging if it used strictly the EMA itself.
SETTINGS
Source : The source of the strategy - close, hlc3, another indicator plot, etc.
EMA Difference Length : The length of both the EMA difference statistics and the base EMA used to calculate the entry side.
Standard Deviation Multiple : The Bollinger Bands multiple used when the difference is breaking out.
Use Binary Strategy : The strategy has two configurations: Binary and Rapid-Exit. 'Binary' means that it will not close a long position until a short position is generated, and vice-versa. 'Rapid-Exit' will close a long or short position once the difference reaches the middle Bollinger Band MA. This means that turning on 'Binary' will expose you to more market risk, but potentially greater market return. Turning off 'Binary' will exit quickly and reduce drawdown.
The strategy results below use 10% equity and 0.1% fees per trade.
Reversion Zone IndexThe Reversion Zone Index (RZI) is an indicator that combines the Commodity Channel Index (CCI), Choppiness Index (CI), and Bollinger Bands Percentage (BBPct) to identify mean reversion signals in the market. It is plotted as an Exponential Moving Average (EMA) smoothed oscillator with overbought and oversold zones, and mean reversion signals are represented by red and green arrows.
The three indicators are combined to benefit from their complementary aspects and create a more comprehensive view of mean reversion conditions. Here's a brief overview of each indicator's benefits:
1. Commodity Channel Index (CCI): CCI measures the current price level relative to its average over a specified period. It helps identify overbought and oversold conditions, as well as potential trend retracements. By incorporating CCI, the RZI gains insights into momentum and potential turning points.
2. Choppiness Index (CI): CI quantifies the market's choppiness or trendiness by analyzing the range between the highest high and lowest low over a specific period. It indicates whether the market is in a trending or ranging phase. CI provides valuable information about the market state, which can be useful in mean reversion analysis.
3. Bollinger Bands Percentage (BBPct): BBPct measures the current price's position relative to the Bollinger Bands. It calculates the percentage difference between the current price and the bands, identifying potential overbought or oversold conditions. BBPct helps gauge the market's deviation from its typical behavior and highlights potential reversal opportunities.
The RZI combines the three indicators by taking an average of their values and applying further calculations. It smooths the combined oscillator using an EMA to reduce noise and enhance the visibility of the trends. Smoothing with EMA provides a more responsive representation of the overall trend and helps filter out short-term fluctuations.
The overbought and oversold zones are marked on the chart as reference levels. When the combined oscillator is above the overbought zone or below the oversold zone, it suggests a potential mean reversion signal. Red and green arrows are displayed to visually indicate these mean retracement signals.
The RZI is a valuable tool for identifying mean reversion opportunities in the market. It incorporates multiple indicators, each providing unique insights into different aspects of mean reversion, such as momentum, volatility, and price positioning. Traders can use this indicator to spot potential turning points and time their trades accordingly.
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:
Strategy Myth-Busting #7 - MACDBB+SSL+VSF - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our seventh one we are automating is the "Magic MACD Indicator: Crazy Accurate Scalping Trading Strategy ( 74% Win Rate )" strategy from "TradeIQ" who claims to have backtested this manually and achieved 427% profit with a 74% winrate over 100 trades in just a 4 months. I was unable to emulate these results consistently accommodating for slippage and commission but even so the results and especially the high win-rate and low markdown is pretty impressive and quite respectable.
This strategy uses a combination of 3 open-source public indicators:
AK MACD BB v 1.00 by Algokid
SSL Hybrid by Mihkel00
Volume Strength Finder by Saravanan_Ragavan
This is considered a trend following Strategy. AK MACD BB is being used as the primary short term trend direction indicator with an interesting approach of using Bollinger Bands to define an upper and lower range and upon the MACD going above the upper Bollinger Bands, it's indicative of an up trend, where as if the MACD is below the lower Bollinger Band, it's indicative of a down trend. To eliminate false signals, SSL Hyrbid is used as a trend confirmation filter, confirming and eliminating false signals from the MACD BB. It does this by validating the price action is above the the EMA and the SSL is positive that is a confirmation of an uptrend. When the price action is below the EMA and the SSL is negative, that is an confirmation of a downtrend. To avoid taking trades during ranged markets, VSF Buyer's Strength is used so the buyers/sellers strength and must be above 50% or the trade will not be inititiated.
Trading Rules
5 min candles but other lower time frames even below 5m work quite well too.
Best results can be found by tweaking these 2 input parameters:
Number Of bars to look back to ensure MACD isn't above/below Zero Line
Number Of bars back to look for SSL pullback
Long Entry when these conditions are true
AK MACD BB BB issues a new continuation long signal. A new green circle must appear on the indicator and these circles should not be touching across the zero level while they were previously red
SSL Hybrid price action closes above the EMA and the line is blue color and then creates a pullback . The pullback is confirmed when the color changes from blue to gray or from blue to red.
VSF Buyers strength above 50% at the time the MACD indicator issues a new long signal.
Short Entry when these conditions are true
AK MACD BB issues a new continuation short signal. A new red circle must appear on the indicator and these circles should not be touching across the zero level while they were previously green
SSL Hybrid price action closes below the EMA and the line is red color then it has to create a pullback . The pullback is confirmed when the color changes from red to gray or from red to blue.
VSF Sellers strength above 50% at the time the MACD indicator issues a new short signal.
Stop Loss at EMA Line with TP Target 1.5x the risk
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
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.
MACD Indicator for 5 Min ScalpThis Indicator merges the 1 min MACD with BollingerBands to dedect a bigger than avarage tick on the Macd for the 5 min Scalping Strategy
You can change the length of the bollinger bands for the upper and lower channel individually so that you can get better signals
if a tick is bigger than avarage it will be colored, else it would be gray
this is the same indicator i used to get entrys in my 5 min scalping statagy, but i wouldnt just go in a trade when there is a bigger than usual tick. You have to look at other things to
OBV Overbuy+sell Oscillator[RSU]On-balance volume (OBV) is a technical trading momentum indicator that uses volume flow to predict changes in stock price. Joseph Granville first developed the OBV metric in the 1963 book Granville's New Key to Stock Market Profits.
This indicator is based on the OBV indicator and adds 2 times the standard deviation Bollinger Band to evaluate the overbought and oversold phenomenon of the OBV indicator.
The characteristics of Bollinger Bands: According to the normal distribution phenomenon, only 5% of the cases will exceed 2 times the standard deviation of the Bollinger Bands . So when it exceeds, I use colors to mark red overbought and green oversold situations.
Usage:
1.Identify trends: Identify current stock trends by OBV's 30 average line color.
2.Breakthrough:OBV Breakthrough 30 average,signal trend may reversal.
3.Oversell and overbuy:A break below overbuy could signal a temporary end to the uptrend.
4.Divergence:When the slope of the two highs is opposite to the slope of the two highs of the indicator, a trend reversal signal may occur.
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
Advanced RSIThis is what I call the advanced RSI. It employs Bollinger bands on the RSI itself, in order to better highlight extremes that are still within the typical 30-70 range on.
You'll notice some background highlights. These are simply to mark the extremes.
Orange marks your standard overbought, Red marks oversold.
Fuchsia marks an RSI outside the lower deviation on the Bollinger Bands. Green marks an RSI outside the upper deviation on the Bollinger bands.
Typically while in an uptrend, the RSI dropping below the lower deviation indicates an entry point (fuchsia). The same applies for a downtrend with the RSI rising above the upper deviation (green).
You can look at the overlap in colors as even stronger indications because on a more rare occasion you will have the RSI outside the upper/lower deviation as well as being outside the typical oversold/overbought levels.
Any feedback is welcome! I try to employ contrasting colors, but they may not make sense to you so change them as you please - they are simply markers.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
CSPDMost Advanced & Accurate CandleStick Pattern Detector
Looking All Over of All Markets for All Important Powerful Reversal | Corrective Patterns (25 type)
Filtering the Results with Optional Features like Oscillator, Bollinger Bands, Volume Confirmation, Prior and Following Candles Confirmation which are Fully Customizable.
With this you can detect:
Hammer | Shooting star
Inverted Hammer | Hanging
Long legged Doji | Dragonfly Doji | Gravestone Doji
Bullish tweezers | Bearish tweezers
Bullish inside bar | Bearish inside bar
Bullish three line strike | Bearish three line strike
Bullish engulfing | Bearish engulfing
Piercing line | Dark cloud cover
Bullish abandoned baby | Bearish abandoned baby
Morning star | Evening star
Three white soldiers | Three black crows
*Bullish kayo | *Bearish kayo
Features:
Prior and Following candles Confirmation
You can set prior and following candle as basic prerequisites for marking candles as pattern to make sure you are at the top or bottom of the trend.
Volume confirmation
You can active volume increasing confirmation for some of pattern with adjustable increase % relative to prior candle | candles.
Oscillator Confirmation
Active oscillator confirmation. Select your approved oscillator from list (Stochastic, RSI, StochRSI, MFI, StochMFI) then enter desired value for marking candles as bullish | bearish pattern.
Bollinger Bands Confirmation
Active BB confirmation. Configure your Bollinger Bands. Now only see the patterns which reached or crossed from Bands. Also you can enable BB clod to have your BB indicator at the same time.
Adjustable Flexibility and Precision
You can set tolerance% for Osc and BB Confirmation - each one separately - for more control.
Self-adaptability
The properties of markets change over time, for example the amplitude of fluctuations and the intensity of movements. The script is designed in such a way that you can examine the price history as a benchmark for changes in market properties to adopt determinants. Also you can control those manually.
Self-regulatory
The user has the ability to change input factors depending on their point of view.
Behind the pattern recognition algorithms, there are relationships and similarities in their appearance that cause them to be influenced by each other. Simultaneously with changing the determining factors of each pattern by you, script automatically adjusts other details in accordance with your changes.
Alerts
You can set for type of pattern or each one of pattern have been detected.
Fully Costumizable
All of these options can be change and adjust.
Note 1.
The patterns are based on extensive study of reference and famous sources and the experience of me and my friends in trading and analysis with price action methods.
Note 2.
Due to the Pine limitations in the number of outputs | plots for each script, our attempt has been made to select the best and most important patterns.
Note 3.
So far, many scripts have been written in this field, but our experience with all of them and even the build in version was not satisfactory, and this was the initial motivation for making the script.
We strive to improve progress and elimination of shortcomings and we will continue to make this better.
Note 4.
Through personal experience and based on the principles of market and candlestick psychology, we discovered a new type of pattern and named it as Kayo.
kayo is a two candle pattern which formed when:
1.We have a pivot point with prior candles as left bars and following candles as right bar. Pivot candle called as second candle.
2.In a bullish kayo, first candle must closed descending and second candle must closed as ascending. For bearish kayo vise versa.
3.In a bullish kayo, second candle's lower wick must be longer then upper wick.
4. A pattern marked as kayo when its conditions do not correspond to any of the other patterns(include the confirmation that user added), ie it has the last naming priority over the other patterns.
Note 5.
When you active confirmation options for patterns like hammer, engulf and etc which they conditions are like kayo in some extent, if they can't pass the confirmation steps, they can be marked as kayo pattern.
Note 6.
If you active volume confirmation for Three white soldiers | Three black crows, the confirmation get passed if the volume of forth or third candle increased as value as entered relative to volume EMA3 of 3 candles.
Note 7.
In a bullish pattern all highs of following candles MUST be higher than prior highs and all lows of following candles MUST be higher than prior lows. For bearish patterns vise versa.
This type of confirmation depends on High and Low NOT close!
Gift to price action lovers!
Support us with your like and comments. let us know your experience, points and idea to make this better together.
GLANTALL AT A DEEP GLANCE
Monitor the whole market at a glance
Give your analysis double-dimensional depth
With the help of this assistant , you can quickly aware about the various dimensions of the market and improve the quality of your trading experience.
Everything is clear in the picture so I will avoid further explanation.
All functions are controllable and highly customizable
Get instantly and accurate report of
Volume
Volume changes
Volume is higher or lower than average
Volume significant increase
2 oscillators of your choice, each one at 4 time frame of your choice, at the same time (Stoch, RSI, StochRSI, MFI, StochMFI)
Selected oscillators changes and direction
Selected oscillators divergences with full coordinate
Bollinger bands
Bollinger bands middle line changes
Bollinger bands width changes and direction
Amount of volatility
4 moving averages as type as your choice at a same time (SMA, EMA, WMA, HMA)
Mark up the moving averages as dynamic support or resistance
Crosses of the 4 averages as type as your choice at a same time (SMA, EMA, WMA, HMA) (completely separately than above mentined MAs) with full coordinate
More than 500 line code.. but Clean and Clear !
Gifts to all of you dear ones.
