Stochastic & MAThis trading system comes from the experience of having a "fast" signal for entry at low prices (such as the stoscastic) and then "following" the stock with a "slower" indicator such as the exponential moving average. Both the input and output signals are filtered.
The use of the trading system only carries out long operations and has been tested on shares and ETFs, including indices, on daily bases (End Of Day).
ENTRY CONDITION: when stochastic's k is higher than d (on the default value of 21 periods) we enter the lower part of the oversold, to which we apply a filter or the confirmation that the closing of the day of the crossing is higher than that of the n -th previous bar (the 2nd previous bar recommended).
Other default settings are k = 6 and d = 4; the oversold level is also customizable (recommended = 25).
EXIT CONDITIONS: once the entry has "gone well", we follow the upward trend of the stock not with a stochastic oscillator - which tends to exit too soon, especially in case of strong trends - but with a simple moving average exponential (by default at 38 periods). Also in this case a filter is added, that is, k must be> to a filter threshold (recommended = 65) which is used to distinguish the decline between a "physiological" tracking. "(k drops" slowly "together with the approach of prices to the moving average) from a more" violent "tracking (prices are below the moving average and k consequently fall" suddenly ", in a few bars).
MONEY MANAGEMENT: 13% stop loss inserted (the physiological level of tracking of the shares is generally max 8-12% so we also consider a 1% margin due to trading). For more volatile stocks, the level can be extended to 20%.
LEVERAGE: the default value is equal to 1, but it is advisable, for simulations on shares, to use higher levers (x2, x3, ...) if you trade the relative CFD or on the index in case of buying and selling of Leveraged ETFs (e.g. LEVMIB which is 2x leveraged ETFs on Italian index).
Search in scripts for "Exponential Moving Average"
Trading Made Easy Pressure OscillatorAs always, this is not financial advice and use at your own risk. Trading is risky and can cost you significant sums of money if you are not careful. Make sure you always have a proper entry and exit plan that includes defining your risk before you enter a trade.
Those who have looked at my other indicators know that I am a big fan of Dr. Alexander Elder and John Carter. This is relevant to my trading style and to this indicator in general. While I understand it goes against TradingView rules generally to display other indicators while describing a new one, I need the Bollinger Bands, Bollinger Bands Width, and a secondary directional indicator to explain the full power of this indicator. In short, if this is strongly against the rules, I will edit the post as needed.
Those of you who are aware of John Carter are going to know this already, but for those who don’t, an explanation is necessary. John Carter is a relatively famous retail-turned-institutional (sort of) trader. He is the founder of TradetheMarkets, that later turned into SimplerTrading. Him and his company have a series of YouTube videos, he has made appearances on the MoneyShow, TastyTrade, and has authored a couple of books about trading. However, he is probably most famous for his “Squeeze” indicator that was originally launched on Thinkorswim and through his website but has now been incorporated into several trading platforms and even has a few open-source versions available here. In short, the Squeeze indicator looks to identify periods of consolidation and marry that with a momentum oscillator so you can position yourself in a quiet period before a large move. This in my opinion, is one of the best indicators an option trader can have, since options are priced both on time and volatility. To do this, the Squeeze identifies when the Bollinger Bands, a measure of price standard deviation, have contracted inside the Keltner Channels (a measure of the average range of a stock). This highlights something known as “the Squeeze”, when the 2x standard deviations (95% of all likely price movement using data from the past 20 periods) is less than the 1.5x average true range (ATR) of the stock over the same number of periods. These periods are when a stock is resting and in a period of consolidation and is generally followed by another large move once it has rested long enough. The momentum oscillator is used to determine the direction of this next move.
While I think this is one of the best indicators ever made, it is not without its pitfalls. I find that the “Squeeze” periods sometimes take too long to setup (something that was addressed by John and released in a new indicator, the Squeeze Pro, but even that is still slowish) and that the momentum oscillator was also a bit slow. They used a linear regression formula to track momentum, which can lag considerably at times. Collectively, this meant that getting into moves a few candles late was not uncommon or someone solely trading squeeze setups could have missed very good trade opportunities.
To improve on this, I present, the Trading Made Easy Pressure Oscillator. This more accurately identifies when volatility is reducing and the trading range is likely to contract, increasing the “pressure” on the price. This is often marked several candles before a “Squeeze” has started. To identify these ranges, I applied a 21-period exponential moving average to the Bollinger Bands Width indicator (BBW). As mentioned above, the Bollinger Bands measure the 2x standard deviation of price, typically based on a 20-period SMA. When the BBs expand, it marks periods of high volatility, when they contract, conversely, periods of low volatility. Therefore, applying an EMA to the BBW indicator allows us to confidently mark when volatility has slowed down earlier than traditional methods. The second improvement I made was using the Absolute Price oscillator instead of a linear regression-style oscillator. The APO is very similar to a MACD, it measures the difference between two exponential moving averages, here the 8 and 21 (Fibonacci EMAs). However, I find the APO to be smoother than the MACD, yet more reactive than the linear regression-style oscillators to get you into moves earlier.
Uses:
1) Buying before a bigger than expected move. This is especially relevant for options traders since theta decay will often eat away much of our profits while we wait for a large enough price move to offset the time decay. Here, we buy a call option/shares when the momentum oscillator matches the longer-term trend (i.e. the APO crosses over the zero line when price is above the 200-day EMA, and vice versa for puts/shorting the stock). This coincides with Dr. Elder’s Triple Screen Trading System, that we are aligning ourselves with the path of least resistance. We want to do this when price is currently in an increasing pressure situation (i.e. volatility is contracting) to make sure we are buying an option when premium and Implied Volatility is low so we can get a better price and have a better risk to reward ratio. Low volatility is denoted by a purple dot, high volatility a blue dot along the midline of the indicator. A scalper or short-term swing trader may look to exit when the blue dots turn purple signalling a likely end to a move. A longer-term trend trader can look to other exit scenarios, such as a cross of the oscillator below the zero line, signalling to go short, or using a moving average as a trailing stop.
2) Sell premium after a larger than expected move has finished. After a larger than expected move has completed (a series of blue dots is followed by a purple dot), use this time to sell theta-driven options strategies such as straddles, strangles, iron condors, calendar spreads, or iron butterflies, anything that benefits from contracting volatility and stagnating prices. This is useful here since reducing volatility typically means a contraction of prices and the reduced likelihood of a move outside of the normal range.
3) Divergences. This indicator is sensitive enough to highlight divergences. I personally don’t use it as such as I prefer to trend trade vs. reversion trade. Use at your own risk, but they are there.
In summary, this indicator improves upon the famous Squeeze indicator by increasing the speed at which periods of consolidation are marked and trend identification. I hope you enjoy it.
T3 + BB
TRES EMAS + BANDAS DE BOLLINGER
INDICADOR 1: TRES EMAS (MEDIA MOVIL EXPONENCIAL)
Con este indicador puede visualizar el promedio de precios con mayor peso a los datos mas recientes.
Se calculan y dibujan tres medias móviles exponenciales: 4, 20 y 200 últimas velas.
-Rápida EMA1 = 4, paso = 1
-Media EMA2 = 20, paso = 2
-Lenta EMA 3 = 200, paso = 10
INDICADOR 2: BANDAS DE BOLLINGER
Con este indicador podrá ver la fuerza y la tendencia del mercado, es decir la mide la volatilidad del precio del activo.
Si el precio sobrepasa la banda superior, el activo está sobrecomprado.
Si el precio sobrepasa la banda inferior, el activo está sobrevendido.
Longitud tendencia - BASE = 20, paso = 1
Desviación Estándar - Multiplicador = 2, paso = 0.2
Estos 2 indicadores sirven para todo tipo de activos: FOREX, CRIPTO, CFD´s, ETC.
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THREE EMAS + BOLLINGER BANDS
INDICATOR 1: THREE EMAS (EXPONENTIAL MOVING AVERAGE)
With this indicator you can visualize the average of prices with greater weight to the most recent data.
Three exponential moving averages are calculated and drawn: 4, 20 and 200 last candles.
-Fast EMA1 = 4, step = 1
-Average EMA2 = 20, step = 2
-Slow EMA 3 = 200, step = 10
INDICATOR 2: BOLLINGER BANDS
With this indicator you can see the strength and trend of the market, that is, it is measured by the volatility of the asset price.
If the price goes above the upper band, the asset is overbought.
If the price goes above the lower band, the asset is oversold.
Trend length - BASE = 20, step = 1
Standard Deviation - Multiplier = 2, step = 0.2
These 2 indicators are used for all types of assets: FOREX, CRYPT, CFD's, ETC.
Price Movement Trend By Alireza Phoenix (Logarithmic)hi Traders
This logarithmic indicator shows the price movement trend, which is designed based on logarithmic functions and moving averages.
The Price Movement Trend Display Composed By :
A leading line consisting of the natural logarithm of Running Moving Average with length 60 and Offset 20 , and is displayed in red line.
A signal line consisting of a natural logarithm of an exponential moving average of length 90 , and is displayed in green line.
A price line consisting of the natural logarithm of a simple moving average along 1 whose source is price close , and is displayed in blue line.
A hidden price line consisting of the natural logarithm of a simple moving average along 1 and its source being the highest and lowest average prices , and is displayed in maroon line.
Learning how to get a signal from the price Movement trend indicator:
Moving the signal line and breaking the leading line upwards to form a green cloud is a buy signal.
Moving the signal line and breaking the leading line downwards that forms a red cloud is a sell signal.
Moving the price line and breaking the trend cloud upward , is a buy signal
Moving the price line and breaking the trend cloud downwards , is a sell signal
My instagram id : @pnxf6
ترجمه فارسی :
سلام تریدرها
این اندیکاتور لگاریتمی ، نمایش دهنده روند حرکتی قیمت است ، که بر اساس توابع لگاریتمی و میانگین های متحرک قیمت طراحی شده است
این اندیکاتور تشکیل شده از :
یک خط پیشرو متشکل از لگاریتم طبیعی متحرک وزنی نمایی مورد استفاده درآر اس آی به طول 60 و انحراف 20 است
یک خط سیگنال متشکل از لگاریتم طبیعی میانگین متحرک نمایی با طول 90
یک خط قیمت که متشکل از لگاریتم طبیعی میانگین متحرک ساده در طول 1 که منبع آن بسته شدن قیمت است.
یک خط قیمت مخفی که متشکل از لگاریتم طبیعی میانگین متحرک ساده در طول 1 و منبع آن میانگین بالاترین و پایین ترین قیمت است
یک فضای ابری مابین خط پیشرو و خط سیگنال که که با "نمایش روند حرکت قیمت" مشخص شده و در رنگ های سبز و قرمز قابل مشاهده میباشد.
آموزش گرفتن سیگنال ازاندیکاتور نمایش روند قیمت :
حرکت خط سیگنال و شکستن خط پیشرو رو به بالا که تشکیل ابر سبز رنگ میدهد یک سیگنال خرید میباشد .
حرکت خط سیگنال و شکستن خط پیشرو رو به پایین که تشکیل ابر قرمز رنگ میدهد یک سیگنال فروش میباشد .
حرکت خط قیمت و شکستن ابر روند حرکت قیمت رو به بالا سیگنال خرید میباشد
حرکت خط قیمت و شکستن ابر روند حرکت قیمت رو به پایین سیگنال فروش میباشد.
Sentiment OscillatorPrice moves when there are more market takers than there are market makers at a certain price (i.e. price moves up when there are more market buys than limit sells and vice versa). The idea of this indicator is to show the ratio between market takers and market makers in a way that is intuitive to technical analysis methods, and hopefully revealing the overall sentiment of the market in doing so. You can use it in the same way you would other oscillators (histogram crossing zero, divergences, etc). The main difference between this and most volume-weighted indicators is that the price is divided by volume instead of multiplied by it, thus giving you a rough idea of how much "effort" it took to move the price. My hypothesis is that when more volume is needed to move the price, that means bulls and bears are not in agreement of what the "fair price" should be for an asset (e.g. if the candle closes only a bit higher than its open but there's a huge spike in volume, that tells you that a majority of the market are starting to think the price is too high and they've started selling).
Methods of Calculation
1. Price Change Per Volume
The main method this indicator uses to reveal market sentiment is by comparing price change to the volume of trades in a bar.
You will see this calculation plotted in its most basic form by ticking the "Show Bar per Bar Change/Volume" box in the inputs dialog. I personally found that the plots were too noisy and cannot be used in real time reliably due to the fact that there is not much volume at the open of a new bar. I decided to leave in the option to use this method, in case you'd like to experiment with it or get a better grasp of how the indicator works.
2. Exponential Moving Averages
In my quest to smooth out the plotted data, I experimented with exponential moving averages. Applying an EMA on the change per volume data did smooth it out a bit, but still left in a lot of noise. So I worked around it by applying the EMA to the price change first, and then dividing it by the EMA of the volume. The term I use for the result of this calculation is "Market Sentiment" (do let me know if you have a better-fitting term for it ;-)), and I have kept it as an option that you can use in the way you would use other oscillators like CMF, OBV, etc. This option is unticked by default.
3. MACD
I left "Market Sentiment" unchecked as the default option because I thought an easier way to use this indicator would be as a momentum indicator like the MACD . So that's what I turned it into! I applied another EMA on the Market Sentiment, added a slower EMA to subtract from the first, and now we have a MACD line. I added a signal line to subtract from the MACD , and the result is plotted as a histogram... ish . I used area instead of columns for plot style so you don't get confused when comparing with a regular MACD indicator, but you can always change it if an actual histogram is more your taste.
The "histogram" is the main gauge of sentiment change momentum and it is easiest to use, that is why it is the only calculation plotted by default.
Methods of Use
As I have mentioned before, you can use this as you would other oscillators.
-The easiest way to use this indicator is with the Momentum histogram, where crosses over 0 indicate increasing bullish sentiment, and crosses below 0 indicate increasing bearish sentiment. You may also spot occasional divergences with the histogram.
-For the Market Sentiment option, the easiest way to use it is to look for divergences.
-And if you use the "Price Change per Volume of Each Bar", well... I honestly don't know. I guess divergences would be apparent towards the close of a bar, but in realtime, I don't recommend you use this. Maybe if you'd like to study the market movement, looking at historical data and comparing price, volume , and Change per Volume of each bar would come in handy in a pseudo-tape-reading kind of way.
Anyway, that's my explanation of this indicator. The default values were tested on BTC/USDT (Binance) 4h with decent results. You'll have to adjust the parameters for different markets and timeframes.
I have published this as a strategy so you can test out how the indicator performs as you're tweaking the parameters.
I'm aware that the code might not be the cleanest as I have only started learning pine (and code in general) for about a month, so any suggestions to improve the script would be appreciated!
Good luck and happy trading :-)
Normalized Volatility IndicatorFrom an article by Rajesh Kayakkal:
"Early bear phase signals can help you get out of the market before it turns down. This indicator tells you how.
There are many ways to identify the trend of a financial market, the most common being the 200-day exponential moving average (Ema). When price is trending down below the 200-day Ema, the market is believed to be in a bear phase. If the market is trending up above the 200-day Ema, it is considered to be in a bull phase.
Since every indicator fails at times, I wanted to find other indicators to confirm a trend. In my quest for another indicator to determine the trend for the financial markets, I found the Cboe Volatility Index (Vix) to be a good indicator of the market direction. The Vix is calculated from the weighted average of the implied volatilities of various options on the Standard & Poor’s 500 index futures.
J. Welles Wilder’s average true range can also give an indication of the financial market trends; that is, when the market is in a bull phase, the average true range narrows, and when it is in a bear phase, the average true range expands. The normalized volatility indicator (Nvi) is based on this behavior.
Normalized volatility indicator (Nvi)
Average true range (Atr) varies depending on time. But how do we determine the phase of the financial market with Atr? Perhaps some type of ratio could give us a clue. A ratio presents a relationship of a quantity with respect to another. I did some research based on a ratio of the 64-day average true range and the end-of-day value of equity indexes such as the Standard & Poor’s 500 (Spx). I selected the 64-day period since it is close to the average number of trading days in a quarter. The ratio of the 64-day average true range and closing price does discount seasonal variations in the average true range and gives a single number that can be used to compare volatility of an instrument across many decades. I call this ratio the normalized volatility indicator.
I found an interesting correlation between Nvi and cycles of major equity market indexes. The formula for the Nvi is:
Nvi = 64 - Day average true range/End-of-day price * 100
The NVI gave advanced signals before the cyclical bear phase of SPX commenced in October 2000 and was almost on the spot with the bull phase that began in 2003 and the current secular bear market cycle, which started in November 2007."
Includes options to show inverse NVI and change the ATR length and smoothing.
RK's 10 ∴ MA Types Ribbons (Fibonacci, Guppy and others)After some tips in my indicator
RK's 04 - Lots of MA Types Ribbon I Put some time and effort to make it better.
So, I'm sharing with you the results.
This is an up to 10 lines Moving Average Ribbon with an Auto Evaluate Length and a lots of options!!!
Type of Moving Average you can use:
SMA - Simple Moving Average
SMMA - Smoothed Moving Average
EMA - Exponential Moving Average
DEMA - Double Exponential Moving Average
TEMA - Triple Exponential Moving Average
WMA - Weighted Moving Average
HMA - Hull Moving Average
EHMA - Exponential Hull Moving Average
RMA - RSI Moving average
2PSS - Ehlers 2 Pole Super Smoother
3PSS - Ehlers 3 Pole Super Smoother
VWMA - Volume-Weighted Moving Average
ALMA - Arnaud Legoux Moving Average
STMA - Simple Triangular Moving Average
ETMA - Exponential Triangular Moving Average
LSMA - Least Squares Moving Average
ZSMA - Zero-Lag Simple Moving Average
ZEMA - Zero-Lag Exponential Moving Average
COVWMA - Coefficient of Variation Weighted Moving Average
COVWEMA - Coefficient of Variation Weighted Exponential Moving Average
FRAMA - Fractal Adaptive Moving Average
KAMA - Kaufman's Adaptive Moving Average
VIDYA - Variable Index Dynamic Average
If you want to change faster the MA type, in "Moving Average Setup:", Select "🤖 Use numbers to change MA Type", click inside the box in "🤖 Moving Average Type per Number:" and just scroll your mouse wheel. You can check what MA type you are using looking in the info panel label.
There is 4 automatic evaluate length:
Fibonacci Sequence
Arithmetic Progression
Geometric Progression
Guppy Multiple Moving Average (GMMA) without Lengths 03 and 05
And I already put a Manual Length, but I keep it inside the code, so if you want to use different lengths, just change the code, or ask me and I will put as an input.
And attending a request, this indicator can creates alerts when all the colors of the ribbons changes.
Hope you like it!
Any other good idea, just send me.
Price Action Movements by RPThis is the Indicator which will enhance finding Buying and Selling opportunity on any market.
Mostly suited for day Trading and some indicator can be used for signalling stock on longer time frame.
Indicators used to create this strategy is as follows:
- Exponential Moving Average (EMA)
- Supertrend
- Volume Weighted Average Price (VWAP)
- Exponential Moving Average of Volume Weighted Average Price (MVWAP)
- Previous Day Volume Weighted Average Price (PVWAP)
- Previous Day High, Low and Close (PDH, PDL, PDC)
- And Current Day Support and Resistance points based on Previous day Price Movement.
This will indicate where to buy and Sell with Indicator based on Following criteria,
Buy Signal given,
- When Close is above Exponential Moving Average 9
- When Close is above Exponential Moving Average 21
- RSI above 55
- Supertrend is positive
- Volume is above 300 moving Average
- Close is above Volume Weighted Average Price
Sell Signal given,
- When Close is below Exponential Moving Average 9
- When Close is below Exponential Moving Average 21
- RSI below 45
- Supertrend is negative
- Volume is above 300 moving Average
- Close is below Volume Weighted Average Price
Trades can use this Study according to their need of the Indicator.
Users can Tick the indicator which they want to add on Charts to study.
Only Exponential Moving Average indicator can be used.
Only Supertrend can be used.
Volume Weighted Average Price, Previous Day Volume Weighted Average Price, Exponential Moving Average of Volume Weighted Average Price and Previous Day High, Low and Close can be used as a particular study.
Support and Resistance can be used along with Previous Day High and Previous Day Low as a particular study.
This is multipurpose Study which will help Trading Society immensely.
Thank You.
Moving Average - Higher TimeframeThis indicator let you choose between different Moving Average types while being able to adjust the plotted timeframe:
- Simple Moving Average
- Exponential Moving Average
- Weighted Moving Average
- Hull Moving Average
Set lengths according to your needs / your preferred moving average.
If you have any opinions or wishes feel free to contact me or simply leave a comment.
//@jnnkwnsch
SPPO — Simple Percentage Price Oscillator SPPO is Simple Percentage Price Oscillator .
SPPO is calculated as the ratio of the current price to the moving average.
This indicator is used in the trading strategy to determine overbought and oversold markets. Chart period D1.
I use this oscillator on the BTCUSD and ETHUSD pairs. It can also be used on other top crypto symbols.
If SPPO on the BTCUSDT chart > 35%, this means that in the Bitcoin market pamp . So it’s time to close long positions.
If SPPO on the bitcoin chart is <-30%, then bitcoin is oversold and you need to think about starting to buy it.
Recommended timeframe: 1d
Input parameters:
MA Length — number of bars for moving average. Default = 25.
Source — type of price used to calculate the MA. Default = close.
High Level — upper horizontal constant on the SPPO chart. Default = 35.
Low Level — lower horizontal constant on the SPPO chart. Default = -35.
Simple MA(Oscillator) — type of MA indicator used. If false = Exponential Moving Average , if true = Simple Moving Average . Default = true.
Moving A. By AndersonGA 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.
Moving average is a trend-following, or lagging, indicator because it is based on past prices. The most common applications of moving averages are:
to identify the trend direction
to determine support and resistance levels.
The two basic and commonly used moving averages are the simple moving average ( SMA ), which is the arithmetic 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.
Source; Investopedia
CMF Osc - Chaikin Money Flow Oscillator [UTS]The well known Chaikin Money Flow Indicator as oscillator version.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
Chaikin Oscillator (ADL Oscillator) [UTS]The Chaikin Oscillator is basically an oscillator version of the Accumulation / Distribution Index, also known as ADL Indicator.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
PVT Osc - Price Volume Trend Oscillator [UTS]The oscillator version of the Price Volume Trend indicator (PVT) can be considered as a leading indicator of future price movements. The PVT Indicator is similar to the On Balance Volume indicator as it is also used to measure the strength of a trend.
The difference between the OBV and the PVT is that where the OBV adds all volumes when price achieves higher daily closes and subtracts them when price registers a lower daily close, the PVT adds or subtracts only a portion of the volume from the cumulative total in relation to a percentage change in price.
The general market consensus is that this difference enables the PVT to more accurately represent money flow volumes in and out of a stock or commodity.
The PVT has been designed so that it is capable of forecasting directional changes in price. For instance, if the price of a stock is rising and the PVT begins to fall, then this is indicative that a price reversal could occur very soon.
The general consensus is that the PVT is more accurate at detecting new trading opportunities than the OBV because of the differences in their construction. The OBV is designed so that it adds the same amount of volume whether the price closes upwards by just a small fraction or by multiples of its day opening value. On the other hand, the PVT adds volume proportional to the amount the price closed higher.
General Usage
Plain old PVT can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Or controversy, disallow LONG trades in bearish territory and disallow SHORT trades in bullish territory.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
OBV Osc - On Balance Volume Oscillator [UTS]The oscillator version of the well known On Balance Volume Indicator (OBV).
General Usage
Plain old OBV can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
Baseline - evoPlots the high and low of your chosen moving average.
Options are:
SMA = Simple Moving Average
EMA = Exponential Moving Average
WMA = Weighted Moving Average
HMA = Hull Moving Average
VWMA = Volume Weighted Moving Average
RMA = Exponetial Weighted Moving Average
ALMA = Arnaud Legoux Moving Average
Unbox "Use Current Timeframe" to use chosen timeframe below
I mainly use this to get in and out of the market for futures trading, to reduce fake outs of having just one moving average line.
Let me know if you like it..
Inspired from LazyBear's EMAenvelope :)
Ultimate_MA_MTF_CMChrisMoody MTF Ultimate Moving Average combined
with Exponential Moving Averages with Price line, i needed to analyze stocks
I have added 50, 100, 200 Period Moving Average to Chrismoody's UMA_MTF
Chris's MA can be found at
i have just combined these averages in a script major contribution goes to chris not me
please look at his indicator still is million times better than me
DEMA ATR Channels - New IndicatorA Double Exponential Moving Average (DEMA) with three sets of channel lines each one Average True Range (ATR) apart, above and below the DEMA.
Similar to my "ATR Channels" indicator, but using a DEMA instead of an EMA for the base. In addition, this indicator also plots a fast DEMA as well as a fill between the two. Fully customizable, you can toggle both DEMAs, the fill, and each set of ATR Channels.
ATR channel idea from Kerry Lovvorn as mentioned in Elder's "New Trading for a Living", page 93: "Kerry Lovvorn likes to plot 3 sets of lines around a moving average: at one, two, and three ATRs above and below an EMA . These can be used for setting up entry points and stops, as well as profit targets."
General Filter Estimator-An Experiment on Estimating EverythingIntroduction
The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA , who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something more flexible and less complex with the ability to approximate any filter output. Its possible, but the methods to do so are not something that pinescript can do, we have to use another base for our estimation using coefficients, so i inspired myself from the alpha-beta filter and i started writing the code.
Calculation and The Estimation Coefficients
Simplicity is the key word, its also my signature style, if i want something good it should be simple enough, so my code look like that :
p = length/beta
a = close - nz(b ,close)
b = nz(b ,close) + a/p*gamma
3 line, 2 function, its a good start, we could put everything in one line of code but its easier to see it this way. length control the smoothing amount of the filter, for any filter f(Period) Period should be equal to length and f(Period) = p , it would be inconvenient to have to use a different length period than the one used in the filter we want to estimate (imagine our estimation with length = 50 estimating an ema with period = 100) , this is where the first coefficients beta will be useful, it will allow us to leave length as it is. In general beta will be greater than 1, the greater it will be the less lag the filter will have, this coefficient will be useful to estimate low lagging filters, gamma however is the coefficient who will estimate lagging filters, in general it will range around .
We can get loose easily with those coefficients estimation but i will leave a coefficients table in the code for estimating popular filters, and some comparison below.
Estimating a Simple Moving Average
Of course, the boxcar filter, the running mean, the simple moving average, its an easy filter to use and calculate.
For an SMA use the following coefficients :
beta = 2
gamma = 0.5
Our filter is in red and the moving average in white with both length at 50 (This goes for every comparison we will do)
Its a bit imprecise but its a simple moving average, not the most interesting thing to estimate.
Estimating an Exponential Moving Average
The ema is a great filter because its length times more computing efficient than a simple moving average. For the EMA use the following coefficients :
beta = 3
gamma = 0.4
N.B : The EMA is rougher than the SMA, so it filter less, this is why its faster and closer to the price
Estimating The Hull Moving Average
Its a good filter for technical analysis with tons of use, lets try to estimate it ! For the HMA use the following coefficients :
beta = 4
gamma = 0.85
Looks ok, of course if you find better coefficients i will test them and actualize the coefficient table, i will also put a thank message.
Estimating a LSMA
Of course i was gonna estimate it, but this time this estimation does not have anything a lsma have, no moving average, no standard deviation, no correlation coefficient, lets do it.
For the LSMA use the following coefficients :
beta = 3.5
gamma = 0.9
Its far from being the best estimation, but its more efficient than any other i previously made.
Estimating the Quadratic Least Square Moving Average
I doubted about this one but it can be approximated as well. For the QLSMA use the following coefficients :
beta = 5.25
gamma = 1
Another ok estimate, the estimate filter a bit more than needed but its ok.
Jurik Moving Average
Its far from being a filter that i like and its a bit old. For the comparison i will use the JMA provided by @everget described in this article : c.mql5.com
For the JMA use the following coefficients :
for phase = 0
beta = pow*2 (pow is a parameter in the Jma)
gamma = 0.5
Here length = 50, phase = 0, pow = 5 so beta = 10
Looks pretty good considering the fact that the Jma use an adaptive architecture.
Discussion
I let you the task to judge if the estimation is good or not, my motivation was to estimate such filters using the less amount of calculations as possible, in itself i think that the code is quite elegant like all the codes of IIR filters (IIR Filters = Infinite Impulse Response : Filters using recursion) .
It could be possible to have a better estimate of the coefficients using optimization methods like the gradient descent. This is not feasible in pinescript but i could think about it using python or R.
Coefficients should be dependant of length but this would lead to a massive work, the variation of the estimation using fixed coefficients when using different length periods is just ok if we can allow some errors of precision.
I dont think it should be possible to estimate adaptive filter relying a lot on their adaptive parameter/smoothing constant except by making our coefficients adaptive (gamma could be)
So at the end ? What make a filter truly unique ? From my point of sight the architecture of a filter and the problem he is trying to solve is what make him unique rather than its output result. If you become a signal, hide yourself into noise, then look at the filters trying to find you, what a challenging game, this is why we need filters.
Conclusion
I wanted to give a simple filter estimator relying on two coefficients in order to estimate both lagging and low-lagging filters. I will try to give more precise estimate and update the indicator with new coefficients.
Thanks for reading !
Infinity StonesEnglish: Five exponential moving averages. When the closing price is less than the average, the line will have a red color. You can change the averages and colors. Gap upside is identified with the yellow color. A star signals the doji
Português: cinco médias móveis exponenciais ( EMA ). Quando o preço de fechamento é menor que a média, a linha terá uma cor vermelha. Você pode alterar as médias e cores. Gap de alta é identificado com a cor amarela. Uma estrela sinaliza o Doji.
Mattzab ArrowsMattzab Arrows
THE BASICS
Buy and Sell Signal Arrows
Tack Marks to show how close the next opposite arrow might be- showing possible trend reversals
Standard Bollinger Bands
10-Day SMA Line
Configurable
Open Source
THE NITTY GRITTY
For starters, all values listed below can be changed in the settings. Length of time, as well as source, can be changed. For the Hidden EMA, this can be made visible by increasing its transparency.
ARROWS
The buy and sell signal arrows are based on price and MACD histogram.
The MACD settings are as follows: 10 day fast EMA , 20 day slow EMA , 5 day SMA signal smoothing. Instead of close price, we are using the average point of the day's high, low, and close.
For the arrows, current price and yesterday's price are using hl2 for high/low average.
A BUY arrow is created when:
Current Price IS GREATER THAN Previous Price _AND_ Current MACD Histogram IS GREATER THAN Previous MACD Histogram.
Important Note! Because the MACD Histogram repaints, the buy arrows may appear, then disappear later in the day, if the MACD changes. Check on the changelog to see if I've fixed it by the time you're reading this. (TradingView doesn't let you edit the description after it's been posted)
A SELL arrow is created when:
Current Price IS LESS THAN Previous Price _AND_ Current MACD Histogram IS LESS THAN Yesterday's MACD Histogram _AND_ Close Price is below _EITHER_ the Hidden EMA (default set to 4) _OR_ the Visible SMA (Default set to 10, which is the black line).
The hidden EMA can be made visible by increasing it's transparency in the Style tab.
Including the requirement to only sell if the standard conditions are met, PLUS being below one of those moving average lines, helps to prevent false sell arrows and repainting.
TACK MARKS
The Red Tack is the threshold, or barrier, for the next arrow. It will not move. It is based on previous High/Low/Close Price + MACD.
The Blue Tack is the current point in space for our average Price and MACD Delta Values. It will move throughout the day (or hour or minute depending on your resolution). The Blue Tack will give you an indication of how close or how far from the reversal threshold (Red Tack) the ticker is at that point.
While the Blue Tack is ABOVE Red, the most recent signal arrow will be a buy, and we are in a buy/hold period.
While the Blue Tack is BELOW Red, the most recent signal arrow will be a sell, and we are in a sell/wait period.
If the Blue Tack crosses above or below Red, you'll get the next arrow.
MOVING AVERAGE LINES
There are three moving average lines in this indicator.
The first is black, and is by default a 10-Day Simple Moving Average Line.
This black line is a good safeguard against selling too early. This is a good support line and that's how I use it.
The second is invisible, but can be made visible in the Styling, and is by default a 4-Day Exponential Moving Average Line
The third is the blue 20-Day Bollinger Band line.
BOLLINGER BANDS
The Bollinger Bands are unmodified and are just a background indicator for your use. If you prefer not to see the Bollinger Bands , change their transparency to 0% to hide them. I've cleaned up the Bollinger Bands to make the indicator as a whole- easier on the eyes.
Please leave feedback on how the script works for you, if you run into problems, if you have any changes you'd like to see, etc.
Exponential/Simple Moving Average Ribbon 12Due to popular demand (one person asked) this is an updated version of my EMA 12 indicator.
This indicator will show up to twelve moving averages at a time in a single indicator. Or, to put it another way, a moving average ribbon.
You can turn individual MAs off or on at your discretion, to show from none to twelve at a time, to better visualize support and resistance areas off of MAs as well as MA crossings.
You can also, of course, adjust the length/period of each of the MAs at your discretion.
In this version, most significantly, you can select either exponential moving average or simple moving average as well for each individual MA.
For the last four MA lines, the color will change from red when bearish to green when bullish. There is also a much more subtle color change in the other MA lines as well.
Fibonacci Time Moving Average Ribbons [DW]This is an experimental study that takes a moving average of price, then offsets the average by up to 11 consecutive Fibonacci numbers from 1 to 144.
Choose between Kaufman's Adaptive Moving Average, Hull Moving Average, Fractal Adaptive Moving Average, Geometric Moving Average, or Exponential Moving Average.
