Micro Dots with VMA line [Crypto_Chili_]In the chart photo is a quick description of each part of the indicator is.
The Micro Dots were hours of testing different combinations of indicators and settings to find what looked and worked best. This is what I came up with, use it as a rough draft as it could probably be added to or changed around.
One simple way to use the indicator is if price is above VMA with green dots, look to long. If price is below VMA with red dots look to short.
Variable Moving Average - Also known as VMA or Track Line, is an Exponential Moving Average. VMA adjusts its smoothing constant on the basis of Market Volatility. This can help to measure the macro trend.
Micro Trend Dots - A Supertrend with extras filters. Supertrend is a trend-following indicator based on ATR (In this indicator TrueRange instead). The extra filters on top of the Supertrend help add confluence to them to give more confidence in the micro trend.
Credit to @LazyBear for the Variable Moving Average
Credit to @KivancOzbilgic for his Supertrend
Send me a message if you create something with the Micro Dots I'd love it see it!
Thank you friends I hope you enjoy!
No Signal is 100% correct at what it's trying to do. Use caution when trading!
Practice Risk Management.
Vma
Rail Line Levels [s3]Plots support/resistance lines based on a neutral signal (white portion) of the Rail Line (variable moving average) for a period of time designated by the user (defaults to 9 bars). Support/Resistance lines will be removed after a period of tests and can be determined by the user (defaults to 26). Support/Resistance is deemed not as important or strong after several touches or tests. The trailer uses a combination of the calculation for the Rail Line (variable moving average) and an ATR to show the overall trend direction.
The indicator is centered around a Variable Moving Average. The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
In addition to the VMA, the indicator makes use of the ATR which measures market volatility by decomposing the entire range of an asset price for that period. The true range is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close.
Pips Stepped VHF-Adaptive VMA w/ Expanded Source Types [Loxx]Pips Stepped VHF-Adaptive VMA w/ Expanded Source Types is a volatility adaptive Variable Moving Average (VMA) with stepping by pips.
What is Variable Moving Average (VMA)?
VMA (Variable Moving Average) is often mistakenly confused with the VIDYA (Volatility Index Dynamic Average) which is not strange since Tushar Chande took part in developing both. But the VMA was preceding the VIDYA and should not be mistaken for it.
What is Vertical Horizontal Filter (VHF)?
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX in the Directional Movement System. Trend indicators can then be employed in trending markets and momentum indicators in ranging markets.
VMA, as is, is a "good candidate" for this type of filtering since it tends to produce prolonged periods of nearly horizontal values when the volatility of the market is low, so, when the step filtering is applied to it, the small slope changes that are happening as a results of the semi EMA calculation are filtered out, and signals are becoming more usable.
Included:
-Color bars
-Show signals
-Long/short alerts
Market PulseBINANCE:BTCUSDT
This is the "Market Pulse" indicator from TOS Indicators.
The scope of this indicator is to identify which one of the four market stages we're in
█ WHAT ARE THE 4 STAGES?
ACCELERATION (or uptrend)
DECELERATION (or downtrend)
ACCUMULATION (occurs after the market has presumably found a bottom and buyers are coming in)
DISTRIBUTION (occurs after the market has presumably found a top and sellers are coming in)
█ WHAT ARE THE TOOLS THAT IT USES TO IDENTIFY THEM?
3 VWMA (Volume Weighted Moving Average)
1 VMA (Variable Moving Average)
VWMA = is a moving average which takes volume into account, and gives closes with higher volume an higher weight
vwma(src, len) => ta.sma(src * volume, len) / ta.sma(volume, len)
VMA = is a moving average which automatically adjusts the smoothing constant using Market Volatility
vma(src, len) =>
vi = ta.cmo(src, len) / 100
alpha = 2 / (len + 1) * math.abs(vi)
vma = 0.0
vma := alpha * src + nz(vma ) * (1 - alpha)
█ HOW CAN I INTERPRET THE INDICATOR?
1) On the top right you can see a box which tells you the Market Stage of the chart you are currently using:
If VWMA8 > VWMA21 > VWMA34 it signals ACCELERATION, color coded in green
If VWMA8 < VWMA21 < VWMA34 it signals DECELERATION, color coded in red
If neither of the previous two conditions are met it signals ACCUMULATION (yellow) if price closes above the VMA and DISTRIBUTION (orange) if price closes below the VMA
2) Next you have the actual VMA which is the line plotted on the chart and color coded in green, red or gray accordingly to the Market Stage with a filter applied:
for a bullish signal (green label) the market needs to be in ACCELERATION and price must be above the VMA
for a bearish signal (red label) the market needs to be in DECELERATION and price must be below the VMA
This characteristic makes it sometimes slower at giving direction indications, but also makes it more suitable to be considered as actual signals for buying and selling
ACCUMULATION and DISTRIBUTION are both rapresented with color gray, if you want you can consider:
the line going from green to gray as ACCUMULATION, your bias is bullish until the line turns red
the line going from red to gray as DISTRIBUTION, your bias is bearish until the line turns green
3) Then you can choose to plot the 3 VWMA to indentify pullbacks and entries for your trades
4) Finally you have the Market Screener, which you can choose to plot and gives a fast look to the markets you are interested on
It basically gives you the Market Stage for every Symbol you choose using the timeframes you input
The maximum number of Symbols you can set is 20, and for all of them you have 2 different timeframes you can choose to analyse.
By default the Symbols are set to the top 20 Cryptocurrency by Market Cap, and the timeframes to 4h and D
There is an option which is on by default and color codes ACCUMULATION and DISTRIBUTION the same as the box on the top right, you can turn it off to make them gray
As I've written in the tooltip inside the indicator you should only use the screener to analyse timeframes which are equal or higher than the one you are currently on your chart.
If you don't plan to use the screener you can delete every symbol from the input boxes to make the indicator update faster when changing timeframe or market.
Be aware that the screener is on BETA and may give repainting signals!
Combo Backtest 123 Reversal & EMA & Volume WeightingThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from Stocks & Commodities 2009 Oct
WARNING:
- For purpose educate only
- This script to change bars colors.
Volume moving indicatorJB가 만든 거래량 이평선 모음입니다.
하나의 지표 추가 만으로 여러개의 거래량 이평선들을 사용하실 수 있고, 제가 자주 사용하는 10,20,30,60,100,200선 넣어 놨습니다.
에디트 언제든 가능하시게 오픈소스로 구성되어있으니 매매에 도움되시길 바랍니다.
Relative Strength Volatility Variable Bands [DW]This is an experimental adaptive trend following study inspired by Giorgos Siligardos's Reverse Engineering RSI and Tushar S. Chande's Variable Moving Average.
In this study, reverse engineered RSI levels are calculated and used to generate a volatility index for VMA calculation.
First, price levels are calculated for when RSI will equal 70 and 30. The difference between the levels is taken and normalized to create the volatility index.
Next, an initial VMA is calculated using the created volatility index. The moving average is an exponential calculation that adjusts the sampling length as volatility changes.
Then, upper and lower VMAs are calculated by taking a VMA of prices above and below the initial VMA. The midline is produced by taking the median of the upper and lower VMAs.
Lastly, the band levels are calculated by multiplying the distance from the midline to the upper and lower VMAs by 1, 2, 3, 4, and 5.
Bar colors are included. They're based on the midline trend and price action relative to the upper and lower VMAs.
VMA's (T=1h, 2h, 4h, 8h)Plots four VMA's (Variable/Volatility Moving Average) in multiple static resolutions (1h, 2h, 4h, 8h), ideal for support/resistance/stops on predictably trending symbols like BTCUSD.
Example:
Three Moving AveragesThis is simply three moving averages in the same indicator, with the possibility to change the source, length, offset and type on every moving average (Simple, Exponential, Weighted, Volume-weighted, Triple EMA or a moving average that uses RSI ).
If you want to disable any of the moving averages, then do that under the "Style"-tab by unchecking the box for that moving average.
Index Adaptive Keltner Channels [DW]This study is an experiment in adaptive filtering. The process in this study was inspired by KAMA and ZLEMA filtering techniques.
First, data is given an optional modification for lag reduction.
Then, an adaptive filter of your choice is calculated. There are 6 different adaptive filters to choose from in this study:
-Commodity Channel Index Adaptive Moving Average (CCIAMA)
-Relative Strength Index Adaptive Moving Average (RSIAMA)
-%R Adaptive Moving Average (%RAMA)
-Klinger Volume Oscillator Adaptive Moving Average (KVOAMA)
-Money Flow Index Adaptive Moving Average (MFIAMA)
-Correlation Coefficient Adaptive Moving Average (CCAMA)
Next, ATR is calculated using the specified adaptive filter.
A set of ranges is calculated by multiplying ATR by the square root of the sampling period, then dividing it by 2 and 4.
And Finally, the ranges are added to and subtracted from the adaptive filter to generate the channels.
Custom bar colors are included. The formula for the color scheme is based on filter direction and price.
Volume Pressure Composite Average with Bands by @XeL_ArjonaVOLUME PRESSURE COMPOSITE AVERAGE WITH BANDS
Ver. 1.0.beta.10.08.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by :
Stocks & Commodities V. 21:10 (68-72):
"Bull And Bear Balance Indicator by Vadim Gimelfarb"
Adjusted Exponential Adaptation from original Volume Weighted Moving Average (VEMA) by @XeL_Arjona with help given at the @pinescript chat room with special mention to @RicardoSantos
Color Cloud Fill Condition algorithm by @ChrisMoody
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
A) My approach is to make this indicator both as a "Trend Follower" as well as a Volatility expressed in the Bands which are the weighting basis of the trend given their "Cross Signal" given by the Buy & Sell Volume Pressures algorithm. >
B) Please experiment with lookback periods against different timeframes. Given the nature of the Volume Mathematical Monster this kind of study is and in concordance with Price Action; at first glance I've noted that both in short as in long term periods, the indicator tends to adapt quite well to general price action conditions. BE ADVICED THIS IS EXPERIMENTAL!
C) ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. --- All Authorship Rights RESERVED 2015 ---
Variable Moving Average Bands [LazyBear]VMA Bands are ATR bands with VMA as its centre. For a description of options, refer to my VMA post:
I have moved VMA calculation in to a separate function. Feel free to use calc_vma() in your scripts. For more MA calculation function (KAMA, VIDYA and others), refer to my complete list of indicators below.
Wish you all a very prosperous New year. Hope these indicators make you all more money this year too :)
List of my other indicators:
- GDoc: docs.google.com
- Chart:
Variable Moving Average [LazyBear]Variable Moving Average, often abbreviated as VMA, is an Exponential Moving Average developed by Tushar S. Chande. VMA automatically adjusts its smoothing constant on the basis of Market Volatility.
Use this like other Moving Averages. I have added the following options that can be enabled via options page:
- Trend Direction Indication: Green = Up trend, Blue = Potential congestion, Red = down trend.
- Color bars based on Trend
More info:
www.thewizardtrader.com
List of my other indicators:
- GDoc: docs.google.com
- Chart:
