VWMA/SMA Breakout and Divergence DetectorThis indicator compares four different values :
-Fast Simple Moving Average(SMA)
-Fast Volume Weighted Moving Average(VWMA)
-Slow SMA
-Slow VWMA
Comparing SMA's and VWMA's of the same length is a common trading tactic. Since volume is not taken into consideration when calculating Simple Moving Averages, we can gain valuable insights from the difference between the two lines.
Since volume should be increasing along with an upwards price movement, the VWMA should be greater than the SMA during a volume-supported uptrend. Thus, we can confirm an uptrend if the VWMA remains greater than the SMA. If the VWMA falls under the SMA in the midst of an upwards price movement, however, that indicates bearish divergence. The opposite is true for downtrends. If price is decreasing and volume is decreasing at the same time (as it should), then we can confirm the downtrend.
Interpreting the Graph:
If the slow SMA is greater than the slow VWMA, then the area representing the difference between the two lines is filled in red. If the slow VWMA is greater than the slow SMA, however, the area between the two is filled green.
If the fast SMA is greater than the fast VWMA, then the area between the two dotted lines is filled in red. On the other hand, the area will be filled green if the fast VWMA is greater than the slow SMA.
In addition to spotting divergences and confirming trends, the four lines can be used to spot breakouts. Typically, a VWMA crossover will precede the SMA crossover. When the fast VWMA crosses over the slow VWMA and then a SMA crossover follows shortly after, then it is a hint that a bullish trend is beginning to form.
Sma
Multiple MA's & ATR-MultiplesPossibly useful to users that do not have a paid subscription. (multiple indicators in one script)
Exponential and simple moving average options with an option for a time frame other than current chart time frame combined with multiples of the average true range plotted as a chart overlay.
Moving Averages + VWAPA moving average (MA) is a widely used indicator in technical analysis that helps smooth out price action by filtering out the “noise” from random short-term price fluctuations. It is a trend-following, or lagging, indicator because it is based on past prices.
The two basic and commonly used moving averages are the simple moving average (SMA), which is the simple average of a security over a defined number of time periods, and the exponential moving average (EMA), which gives greater weight to more recent prices.
The most common applications of moving averages are to identify the trend direction and to determine support and resistance levels.
Script includes
4 EMA
5 EMA
8 EMA
9 EMA
13 EMA
20 EMA
20 SMA
21 EMA
34 EMA
50 EMA
50 SMA
55 EMA
200 SMA
The volume weighted average price (VWAP) is a trading benchmark used by traders that gives the average price a security has traded at throughout the day, based on both volume and price. It is important because it provides traders with insight into both the trend and value of a security.
VWAP + VWAP bands
Adaptive Moving AveragesThis script is able to adaptively show different moving averages, depending on the timeframe.
The default values are:
-8 weekly EMA
-20,50,100 and 200 SMA
-4 hourly 50 EMA
-Hourly 50 EMA
-15 minutes 20 SMA
These moving averages are the ones I use the most, and were originally covered in a video by Financial Freedom (Nasir Jones) called " HOW TO USE MOVING AVERAGES- BTC CASE STUDY" (Highly recommended).
Feel free to change the default values. Also, if you don't want to show certain moving averages, go to style and just untick the visibility checkbox of the ones you don't want to see.
Self-Adjusting RSIThis indicator was originally developed by David Sepiashvili (Stocks & Commodities V. 24:2 (February, 2006): The Self-Adjusting RSI ).
The author presented a technique to adjust the traditional RSI overbought and oversold thresholds so as to ensure that 70-80% of RSI values lie between the two thresholds.
He used two algorithms for adjusting:
Standard Deviation-based
Simple Moving Average-based
Easy and straightforward. But this is not a true way.
Source code on request
Envelope MTFthis is a multi time frame envelop indicator.
You can use it on multiple time frames to show the trend from a different time frame perspective
SMA X RSI - by @CryptoMrDavis -Another script that might be useful for your trading setup.
It use RSI and two SMA's.
Happy trading
+++ use this tool on your own risk. i'm not responsible for your loses +++
Show some ❤
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NEO: AXja5xPDhczfm2ujHyBfpkQAAnMsXsazmb
ZEC: zcZzFkRx95cp7MtuW8wLhC5zz5RYF9QkT2uPPmhZZHc6ppXepHGgCSeAS1rtD6WFdqsM5p1gZm2gfirnrnviucsdP4aCpqU
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BCH: qz57n04ud6mn42u00aymqkku8tfh0lk4jv9c28mjvv
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++++ cryptotradingresource.com ++++
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Golden Ratio Fibonacci Multipliers IndicatorBased on "The Golden Ratio Multiplier" article by Philip Swift (@PositiveCrypto) on Medium.
MA-EMA-BB - NakajimaSome MA and EMA that you can hide/show
Bollinger Bands
Ichimoku
Fibonacci
Fractals
Triple Moving Averages with Bollinger BandsCombines 3 moving averages with Bollinger Bands. Each moving average can be configured to be SMA or EMA.
Main Indicators @ MadnessCryptoInspired by veteran contributors of tradingview
Indicators list:
1. Main indicators: Moving average collection, Ichimoku, Bollinger Bands, fibonanci, simplize candlestick price action...
2. Price Action indicators: Candlesticks of (almost) any kinds. Harmonic Patterns: ABCD, Alt Bat, Butterfly, Crab, Wolf Wave, Head and Shoulders, Triangle...
3. Advanced indicators: top/bot finder, breakout detector, unpopular indicators
4. Signal & backtest tools: focus on two main factors: percent profitable & profit factor
Cheers,
Madness Crypto
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Incase if those's scripts are useful, you can buy me a coffee
ETH & ERC20 tokens: 0xA2F57Cc46A5268F16A0224a81EDe7154218Ce890
Bitcoin: 1PTSbWK6snVSULBXhfx5TD9pJkkYCDe4PC
Binance & BEP2 tokens: bnb1tlxgpnguzq0w3w6myhd0t3d2j9wqd2pzpkudpc
STRATEGY AVERAGE MULTI_SMAThis strategy is based on my script "AVERAGE MULTI_SMA"
The strategy is based on the created media, giving BUY signal when the price closes above the average and the average is rising. For the SELL signal the price closes below the average with the average falling.
For those who are interested in how the "AVERAGE MULTI_SMA" script works, I ask you to analyze it there, because I explain how it works.
Please do not use the indicator as the only factor to do your operations, try to use more as a study.
____PTBR_____
Essa estrategia é baseada no meu script "AVERAGE MULTI_SMA"
A estrategia é baseada na media criada, para o sinal de compra(BUY) o preço fecha acima da média e a média está subindo. Para o sinal de venda(SELL) o preço fecha abaixo da média e a média caindo.
Para quem se interessar em saber como funciona o script "AVERAGE MULTI_SMA", peço que analise ele lá, pois explico como funciona.
Peço que não use o indicador como único fator para fazer suas operações, tente usar mais como um estudo.
4 EMA PlotCommonly used to identify a Bull Market, the 21, 55, and 100 Daily EMA along with the 200 SMA need to line up. This script will plot these as well as identify a short-term 21/55 cross. Useful if you have a limit on indicators and need the 4. They can be customized to your settings.
Moving Average CrossoverIt was planned as an addition to Moving Average Smoothness Benchmark and Profitable Moving Average Crossover , but can be used standalone.
Supports 62 types of well-known moving averages and allows full-featured customization.
Supported types of averages and filters:
AEMA , Adaptive Exponential MA (by Vitali Apirine)
AHMA , Ahrens MA (by Richard D. Ahrens)
ALMA , Arnaud Legoux MA (by Arnaud Legoux and Dimitris Kouzis-Loukas)
ALF , Adaptive Laguerre Filter (by John F. Ehlers)
AMA , Adaptive MA (by Vitali Apirine)
ARSI , Adaptive RSI
BAMA , Bryant Adaptive MA (by Michael R. Bryant)
BF2 , Butterworth Filter with 2 poles
BF3 , Butterworth Filter with 3 poles
DEMA , Double Exponential MA (by Patrick G. Mulloy)
DWMA , Double Weighted (Linear) MA
EDCF , Ehlers Distance Coefficient Filter (by John F. Ehlers)
EDSMA , Ehlers Deviation-Scaled MA (by John F. Ehlers)
EHMA , Exponential Hull MA
EMA , Exponential MA
EVWMA , Elastic Volume Weighted MA (by Christian P. Fries)
FRAMA , Fractal Adaptive MA (by John F. Ehlers)
GF1 , Gaussian Filter with 1 pole
GF2 , Gaussian Filter with 2 poles
GF3 , Gaussian Filter with 3 poles
GF4 , Gaussian Filter with 4 poles
HFSMA , Hampel Filter on Simple Moving Average
HFEMA , Hampel Filter on Exponential Moving Average
HMA , Hull MA (by Alan Hull)
HWMA , Henderson Weighted MA (by Robert Henderson)
IDWMA , Inverse Distance Weighted MA
IIRF , Infinite Impulse Response Filter (by John F. Ehlers)
JAMA , Jurik Adaptive MA (by Mark Jurik)
JMA , Jurik MA (by Mark Jurik, )
KAMA , Kaufman Adaptive MA (by Perry J. Kaufman)
LF , Laguerre Filter (by John F. Ehlers)
LMA , Leo MA (by ProRealCode' user Leo)
LSMA , Least Squares MA (Moving Linear Regression)
MAMA (by John F. Ehlers)
FAMA , Following Adaptive MA (by John F. Ehlers)
MD , McGinley Dynamic (by John R. McGinley)
MHLMA , Middle-High-Low MA (by Vitali Apirine)
MNMA , McNicholl MA (by Dennis McNicholl)
NSMA , Moving Average 3.0 on SMA (by Manfred G. Dürschner)
NEMA , Moving Average 3.0 on EMA (by Manfred G. Dürschner)
NWMA , Moving Average 3.0 on WMA (by Manfred G. Dürschner)
NVWMA , Moving Average 3.0 on VWMA (by Manfred G. Dürschner)
PEMA , Pentuple Exponential MA (by Bruno Pio)
PWMA , Parabolic Weighted MA
QMA , Quick MA (by John McCormick)
QEMA , Quadruple Exponential MA (by Bruno Pio)
REMA , Regularized Exponential MA (by Chris Satchwell)
RMA , Running MA (by J. Welles Wilder)
RMF , Recursive Median Filter (by John F. Ehlers )
RMTA , Recursive Moving Trend Average (by Dennis Meyers)
SHMMA , Sharp Modified MA (by Joe Sharp)
SMA , Simple MA
SSF2 , Super Smoother Filter with 2 poles (by John F. Ehlers)
SSF3 , Super Smoother Filter with 3 poles (by John F. Ehlers)
SWMA , Sine Weighted MA
TEMA , Triple Exponential MA (by Patrick G. Mulloy)
TMA , Triangular MA (generalized by John F. Ehlers)
T3 , (by Tim Tillson)
VIDYA , Variable Index Dynamic Average (by Tushar S. Chande)
VWMA , Volume Weighted MA (by Buff P. Dormeier)
WMA , Weighted (Linear) MA
ZLEMA , Zero Lag Exponential MA (by John F. Ehlers and Ric Way)
[AU] Hybrid RSI MTF// hybrid rsi MTF v03
multiple timeframe option for multiple components
rsi ema/sma cross dot enabled by default
rsi sma/ema cuCustom RSI with SMA 9, EMA 45 and Bull/Bear Control Zones from Krown and Constance Brown.
Directional filter VERSION 2The idea is to make it more visible if the moment is to seek buying or selling, based on moving averages, being SMA 21 and EMA 9.
best BUYBAR has the EMA9 and SMA21 rising and closing above them. "relevance A"
best SELLBAR has the EMA9 and SMA21 dropping and closing below them. "relevance A"
Conditions for all colors of the candlesticks:
BuyBar A = price closes above EMA9 and SMA21 with EMA9 and SMA21 rising.
BuyBar B = price closes above SMA21 with SMA21 rising OR price closes above EMA9 and SMA21.
BuyBar C = price closes above EMA9 with EMA9 rising and SMA21 falling.
BuyBar Neutral = close> open.
SellBar A = price closes below EMA9 and SMA21 with EMA9 and SMA21 falling.
SellBar B = price closes below SMA21 with SMA21 falling OR price closes below EMA9 and SMA21.
SellBar C = price closes below EMA9 with EMA9 falling and SMA21 rising.
SellBar Neutral = close abertura.
SellBar A = preço fecha abaixo de EMA9 e SMA21 com EMA9 e SMA21 caindo.
SellBar B = preço fecha abaixo de SMA21 com SMA21 caindo OU preço fecha abaixo de EMA9 e SMA21.
SellBar C = preço fecha abaixo de EMA9 com EMA9 caindo e SMA21 subindo.
SellBar Neutral = fechamento < abertura.
As medias moveis também alteram de acordo com a direção em que estão:
EMA 9 subindo = azul
EMA 9 caindo = laranja
SMA 21 subindo = verde
SMA21 caindo = vermelho
Directional filter VERSION 2The idea is to make it more visible if the moment is to seek buying or selling, based on moving averages, being SMA 21 and EMA 9.
best BUYBAR has the EMA9 and SMA21 rising and closing above them. "relevance A"
best SELLBAR has the EMA9 and SMA21 dropping and closing below them. "relevance A"
Conditions for all colors of the candlesticks:
BuyBar A = price closes above EMA9 and SMA21 with EMA9 and SMA21 rising.
BuyBar B = price closes above SMA21 with SMA21 rising OR price closes above EMA9 and SMA21.
BuyBar C = price closes above EMA9 with EMA9 rising and SMA21 falling.
BuyBar Neutral = close> open.
SellBar A = price closes below EMA9 and SMA21 with EMA9 and SMA21 falling.
SellBar B = price closes below SMA21 with SMA21 falling OR price closes below EMA9 and SMA21.
SellBar C = price closes below EMA9 with EMA9 falling and SMA21 rising.
SellBar Neutral = close abertura.
SellBar A = preço fecha abaixo de EMA9 e SMA21 com EMA9 e SMA21 caindo.
SellBar B = preço fecha abaixo de SMA21 com SMA21 caindo OU preço fecha abaixo de EMA9 e SMA21.
SellBar C = preço fecha abaixo de EMA9 com EMA9 caindo e SMA21 subindo.
SellBar Neutral = fechamento < abertura.
As medias moveis também alteram de acordo com a direção em que estão:
EMA 9 subindo = azul
EMA 9 caindo = laranja
SMA 21 subindo = verde
SMA21 caindo = vermelho
Autonomous Recursive Moving AverageIntroduction
People often ask me what is my best indicators, i can't really respond to this question with a straight answer but i would say you to check this indicator. The Autonomous Recursive Moving Average (ARMA) is an adaptive moving average that try to minimize the sum of squares thanks to a ternary operator, this choice can seem surprising since most of the adaptive moving averages adapt to a smoothing variable thanks to exponential averaging, but there are lot of downsides to this method, i really wanted to have a flat filter during flat markets and this is what i achieved.
The Indicator
length control the amount of smoothing during trending periods, gamma is the trend sensitivity threshold, higher values of gamma will make an overall flat filter, adjust gamma to skip ranging markets.
gamma = 2, we can adjust to 3 while preserving smoothing reactivity with trading periods.
gamma = 3
low length and higher gamma create more boxy result, the filter add overshoots directly in the output, its unfortunate.
The Zero-Lag option can reduce the lag as well as getting additional flat results without changing gamma.
Conclusion
The indicator need work, but i can't leave without publishing it, the overshoots are a big problems, changing sma for another stable filter can help. I hope you find an use to it, i really like this indicator.
Thanks for reading
MA Trend-Indicator + SidewaysAn indicator that shows upwards/downwards trends + sideways movements (=gray fields)
QuantNomad - MA Strategy - 1 minute - ETHUSDInteresting performance for simple MA strategy on 1m ETHUSD. I used only close price and 15 SMA in it.
Performance is 55% over 10 days with a drawdown of only 3.5%.
Percent profitable is only 30% with almost 2k trades.
For sure this won't work as a standalone strategy, with 2k trades commission and slippage will destroy all your PNL but it can be a pretty good base for a more complicated strategy with good filters.
And remember:
Past performance does not guarantee future results.